I'm looking for a job. I exported this list from FewerJobs.com - a curated job board.

Please:
1. Rank these jobs by fit for me, given my resume / skills.
2. Highlight the top 5 with a one-sentence rationale each.
3. Flag any concerns, including benefit values without source-backed evidence.
4. Suggest one or two filter changes I could make on FewerJobs to find more good matches.

Filters I applied:
- q: ClickHouse
- quality_floor: default
- match_401k_strict: true
- parental_strict: true
- non_birth_strict: true
- pto_strict: true
- include_older: false
- apply_url_verified: false
- page: 2
- per_page: 100
- sort: relevance

Jobs (31 total):

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TITLE: Software Engineer, Distributed Data Systems
EMPLOYER: Exa
LOCATION: San Francisco, California | OnSite (onsite)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/exa/5f10cc28-bcad-4ce4-8fa1-996a59c59e65
EXCERPT: Software Engineer, Distributed Data Systems San Francisco, California | OnSite Exa is an applied AI lab building a search engine unlike the world has ever seen. We build massive-scale infra to crawl the entire web, train state-of-the-art embedding models to process it, and design super high performant vector databases to retrieve over it. We now power search for Cursor, Cognition, HubSpot, and over 400,000 developers and have raised $350m from Lightspeed, Benchmark, and a16z. Our ultimate goal is to build perfect search over all the world's information, far beyond Google. If you want to build massive-scale ML systems that will define the way the new AI world consumes information, this is the place for you. As a Data Engineer, you'll architect and build the data infrastructure that powers everything we do-from crawling billions of pages to training our embedding models to serving real-time search. You'll have enormous autonomy in designing systems that scale to hundreds of petabytes. If you've ever wanted to build data pipelines at a scale that most companies only dream about, this is your chance. WHO YOU ARE - Deep understanding of lakehouse architectures (Delta Lake, Iceberg, Hudi) and when to use them - Experience building and operating large-scale distributed data processing pipelines - Hands-on experience with streaming data systems (Kafka, Flink, or similar) - Familiarity with Ray, Spark, or ClickHouse at production scale - An obsessive focus on reliability and building systems that don't page you at 3am BONUS - Experience with Lance or other vector-native
---
TITLE: Product Engineer / Builder
EMPLOYER: Tacto
LOCATION: Munich, Bavaria, Germany (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-24
APPLY_URL: https://jobs.ashbyhq.com/tacto/ec0bccd8-00ff-438d-a322-8d9c6695e0ec
EXCERPT: Product Engineer / Builder Munich, Bavaria, Germany Why this role exists Manufacturing is Europe's backbone, and it's under pressure. Over 50% of manufacturing cost is decided in procurement, yet the function still runs on Excel. Tacto is building the intelligence layer that connects bits (engineering, digital) and atoms (manufacturing, physical) - the missing piece to bring AI into the real economy. 300+ industrial companies already run on Tacto. Backed by Sequoia and Index. Category leader in DACH. Just getting started. You'd join the team that owns Tacto's analytics product - the engine that turns messy procurement data into clear "here's where you can save" opportunities. On top of ClickHouse, we ingest spend and supplier data, run AI agents over it, enrich with 20,000+ external indices, and surface ready-made savings to procurement teams. What you'll do Ship product end-to-end. Build the analytics engine that finds saving potential across millions of rows. Turn AI advances into real production features - anomaly detection, opportunity scoring, agentic workflows. Build customer-facing flows in React/Next.js that feel more like a great CRM than a spreadsheet. Identify the right problem, align, and drive it to revenue. Don't wait for a PRD. What we mean by Builder Because of AI, we only need Builders. No specialized roles. A Builder owns ambiguity end-to-end - not just customer problems, but business problems. You take effective agency, make the case, de-risk, and make the value real. You spread what works instead of hoarding it. We don't care about code quality for
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TITLE: Senior Software Engineer | Backend
EMPLOYER: Formal
LOCATION: San Francisco | OnSite (onsite)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/formal/942c842d-f5b8-4294-8ca1-000edc10303d
EXCERPT: Senior Software Engineer | Backend San Francisco | OnSite ABOUT FORMAL Formal is data security platform designed to help teams understand and control their data on autopilot. We're building a modern protocol-aware reverse-proxy for datastores and APIs that helps organizations understand their data in real-time. This allows teams to see how sensitive data is stored, consumed, and used in order to enforce least privilege through masking, filtering, or anonymization policies. We are trusted by leading companies such as Ramp http://Ramp.com, Gusto http://Gusto.com, Notion http://Notion.com to solve problems across data security and compliance, data quality management, and infrastructure access. Formal is backed by top-tiers VCs including Thrive Capital and Y Combinator with angel investors that include executives and founders from Datadog, Clickhouse, Plaid, and Vanta. ABOUT THE ROLE Formal is on a mission to build the best engineering team and we're looking for people who want to make outsized impact on shaping the product and building the company. Our ideal candidate has a deep understanding of building scalable backend systems, a strong sense of ownership, and enjoys owning projects from inception to scaling it in production. Our tech stack currently involves Golang, Rust, Temporal, Datastore protocols (Postgres, S3, Kafka, MySQL, Snowflake, Redshift, SSH), and AWS WHAT YOU'LL DO - Design and develop a high performance data platform that can handle large volumes of data in real-time - Build new product features from start to finish through to research, implementation, and maintenance - Help improve performance and reliability of net new and
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TITLE: Senior Software Engineer, Infrastructure
EMPLOYER: Encord
LOCATION: London | OnSite (onsite)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/encord/4d2a2e89-6464-425e-8edc-b159561f8108
EXCERPT: Senior Software Engineer, Infrastructure London | OnSite About us Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator. The role We're looking for great engineers with experience building the backend of highly performant systems that can handle very large volumes of unstructured and structured data. Customers use our platform to store, query, analyse, and manipulate billions of items of data - and we need to ensure these operations are fast and reliable at massive scale. For this role we are particularly interested in engineers with experience in both traditional relational database systems like PostgreSQL and column-oriented analytics systems such as ClickHouse, who have worked on large-scale systems in industries where reliability and performance are critical. You'll join a small, highly collaborative group at a crucial stage of accelerated development, operating with a high degree of autonomy and crafting performant, reliable, and maintainable solutions to challenging technical problems. What you'll do - Build and maintain highly performant backend systems handling billions of items of structured and unstructured data - Work across relational and columnar database systems to ensure fast, reliable query and storage operations
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TITLE: Head of Engineering (Data & SWE)
EMPLOYER: Hilbert
LOCATION: San Francisco, California, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-02-26
APPLY_URL: https://jobs.ashbyhq.com/hilberts/9356cb85-e325-445e-b4d6-1c80114ec8f0
EXCERPT: Head of Engineering (Data & SWE) San Francisco, California, United States The Mission: Build the Machine that Builds the Product At Hilbert's AI, we shorten "months" to "minutes." We build the AI Growth Engine that Fortune 500 enterprises and iconic B2C brands use to navigate their revenue drivers in real-time. We are at an inflection point. We are scaling from a "fast-response" early-stage team to a multi-department engineering organization (Data & Software Engineering as your department) of 20+ people across San Francisco and Istanbul . We are looking for an Engineering Leader to own the technical heart of Hilbert. You will lead the infrastructure and software that powers our engine, working in parallel with our AI/ML department to turn predictive models into production-grade enterprise outcomes. The Hard Problems: Scale, Systems, and the "Human Interface" This role will deliver more than managing people; it's about architecting an organization. You are the bridge between raw data, agentic AI, and the customer experience. Our Current Hurdles: - Multi-Deployment Architecture : Build once and ship consistently across our Cloud SaaS (ClickHouse), enterprise on-prem deployments, and warehouse-native zero-extract model, ensuring a unified experience for engineering and forward-deployed data teams. - The Distributed Engine: Our team is split between SF and Istanbul (an 11-hour gap) . You need to build a high-sync culture that thrives despite the distance, ensuring speed doesn't sacrifice quality. - Building the Roadmap from Scratch: We are in the process of hiring our first Product Managers and Customer Success teams. You will
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TITLE: Software Engineer, Platform
EMPLOYER: OpenRouter
LOCATION: Remote (US), United States (remote)
SALARY: $215K-$285K
POSTED: 2026-04-23
APPLY_URL: https://jobs.ashbyhq.com/openrouter/47c2bcd2-f71c-47a6-831f-a4130d607a7b
EXCERPT: Software Engineer, Platform Remote (US), United States About OpenRouter OpenRouter is the leading AI routing and infrastructure layer that enterprises use to access, manage, and optimize the best large language models across providers-without lock-in, capacity constraints, or unnecessary cost. We power the most advanced AI teams in the world by giving them the flexibility to move fast, scale confidently, and stay future-proof as models evolve. As enterprise adoption of AI accelerates, OpenRouter sits at the center of how organizations operationalize LLMs across research, product, and production workloads. About the Role We're hiring a Software Engineer on our Platform team to own and scale the systems that route and serve millions of LLM requests every day. The business is growing at an unbelievable pace and we need help to ensure our platform can keep up. You'll work alongside a small team of engineers on owning our infrastructure, datastores, CI/CD pipeline and everything else at OpenRouter is built on. This is a hands-on IC role with broad surface area and little process between you and shipping. What You'll Do - Own and evolve our edge and cloud infrastructure across Cloudflare, Google Cloud, and Vercel. - Scale and operate our data layer including Spanner, ClickHouse, and Postgres. - Ensure we are optimizing for performance when serving LLM inference as traffic rapidly grows. - Partner with engineering leadership on capacity, reliability, and cost across the routing layer, with ownership of the systems carrying production traffic. - Set the bar and playbook for how we
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TITLE: Software Engineer | Backend
EMPLOYER: Formal
LOCATION: San Francisco (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/formal/478897bd-5c4a-44ae-84bc-afc5d8ac1ac7
EXCERPT: Software Engineer | Backend San Francisco ABOUT FORMAL Formal is data security platform designed to help teams understand and control their data on autopilot. We're building a modern protocol-aware reverse-proxy for datastores and APIs that helps organizations understand their data in real-time. This allows teams to see how sensitive data is stored, consumed, and used in order to enforce least privilege through masking, filtering, or anonymization policies. We are trusted by leading companies such as Ramp http://Ramp.com, Gusto http://Gusto.com, Notion http://Notion.com to solve problems across data security and compliance, data quality management, and infrastructure access. Formal is backed by top-tiers VCs including Thrive Capital and Y Combinator with angel investors that include executives and founders from Datadog, Clickhouse, Plaid, and Vanta. ABOUT THE ROLE Formal is on a mission to build the best engineering team and we're looking for people who want to make outsized impact on shaping the product and building the company. Our ideal candidate has a deep understanding of building scalable backend systems, a strong sense of ownership, and enjoys owning projects from inception to scaling it in production. Our tech stack currently involves Golang, Rust, Temporal, Datastore protocols (Postgres, S3, Kafka, MySQL, Snowflake, Redshift, SSH), and AWS WHAT YOU'LL DO - Design and develop a high performance data platform that can handle large volumes of data in real-time - Build new product features from start to finish through to research, implementation, and maintenance - Help improve performance and reliability of net new and existing features -
---
TITLE: Software Engineer | Fullstack
EMPLOYER: Formal
LOCATION: San Francisco | OnSite (onsite)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/formal/d7f3b451-2595-49df-a58a-e6e5357f9952
EXCERPT: Software Engineer | Fullstack San Francisco | OnSite ABOUT FORMAL Formal is data security platform designed to help teams understand and control their data on autopilot. We're building a modern protocol-aware reverse-proxy for datastores and APIs that helps organizations understand their data in real-time. This allows teams to see how sensitive data is stored, consumed, and used in order to enforce least privilege through masking, filtering, or anonymization policies. We are trusted by leading companies such as Ramp http://Ramp.com, Gusto http://Gusto.com, Notion http://Notion.com to solve problems across data security and compliance, data quality management, and infrastructure access. Formal is backed by top-tiers VCs including Thrive Capital and Y Combinator with angel investors that include executives and founders from Datadog, Clickhouse, Plaid, and Vanta. ABOUT THE ROLE Formal is on a mission to build the best engineering team and we're looking for people who want to make outsized impact on shaping the product and building the company. Our ideal candidate has a deep understanding of building scalable systems, a strong sense of ownership, and enjoys owning projects from inception to scaling it in production. Our tech stack currently involves Typescript, NextJS, Shadcn, Vercel, and Golang WHAT YOU'LL DO - Continuously improve the performance and reliability of our frontend application by optimizing code and identifying areas for enhancement. - Enhance existing features by incorporating user feedback and implementing improvements to usability and design. - Take ownership of the frontend architecture, ensuring scalability, maintainability, and adherence to best practices. - Lead any initiative
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TITLE: Solutions Engineer
EMPLOYER: Formal
LOCATION: San Francisco (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/formal/a07c732d-285c-4774-b8c3-b30eba408698
EXCERPT: Solutions Engineer San Francisco ABOUT FORMAL Formal is data security platform designed to help teams understand and control their data on autopilot. We're building a modern protocol-aware reverse-proxy for datastores and APIs that helps organizations understand their data in real-time. This allows teams to see how sensitive data is stored, consumed, and used in order to enforce least privilege through masking, filtering, or anonymization policies. We are trusted by leading companies such as Ramp http://Ramp.com, Gusto http://Gusto.com, Notion http://Notion.com to solve problems across data security and compliance, data quality management, and infrastructure access. Formal is backed by top-tiers VCs including Thrive Capital and Y Combinator with angel investors that include executives and founders from Datadog, Clickhouse, Plaid, and Vanta. ABOUT THE ROLE Formal is on a mission to build the best engineering team and we're looking for people who want to make outsized impact on shaping the product and building the company. We're looking for a Solutions Engineer who will partner closely with our customers and prospects to deeply understand their infrastructure and workflows, guide technical evaluations, and ensure successful deployments and ongoing value. This is a hybrid role that blends strong technical acumen with customer-facing empathy. You'll collaborate with engineering, product, and GTM teams to solve complex customer problems and influence the roadmap based on real-world needs. If you're someone who loves diving into technical architecture, explaining complex topics clearly, and helping teams adopt powerful products, this role is for you. WHAT YOU'LL DO - Act as the technical
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TITLE: Backend Engineer (Infra), Core Sending
EMPLOYER: Resend
LOCATION: Americas / Remote / Full-time | Remote (remote)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/resend/a95832a8-a2ab-4a63-8303-9989f1fc47d6
EXCERPT: Backend Engineer (Infra), Core Sending Americas / Remote / Full-time | Remote Resend is growing fast, and there are now over 2 million developers using it. As the Core Sending Squad, we are responsible for building and maintaining the core components of Resend that handle sending transactional and marketing emails. This role is fully remote-based in Americas or European time zones, with some expected travel for team off-sites, conferences, meetups, and more. Read more about how we work, how we hire, and what we value here https://resend.com/handbook. IN THIS ROLE, YOU WILL… - Help define the architecture to support millions of daily API requests - Build and scale infrastructure to send dozens of millions of emails per day - Improve high availability across distributed applications - Scale databases like Postgres and Clickhouse to ensure that they are performant - Enhance observability by using monitoring tools like Datadog - Refine disaster recovery plans to ensure that recovery is quick and reliable - Help to build our infrastructure with IaC frameworks like CDK and TF - Work with Typescript and Golang - Design and operate async pipelines (queues, streams, idempotency, retries, DLQs) that move tens of millions of messages per day - Be on-call rotation (for critical services) YOU WILL BE A GREAT FIT IF YOU... - 8+ years of back-end engineering with a focus on cloud infrastructure - Are fluent in writing and speaking English - Thrive in open-ended problems and situations - Have supported large workloads on AWS - You
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TITLE: Lead Database Engineer
EMPLOYER: Qube Research & Technologies
LOCATION: Hong Kong (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-18
APPLY_URL: https://job-boards.greenhouse.io/quberesearchandtechnologies/jobs/8467368002
EXCERPT: Lead Database Engineer Hong Kong Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT This person will be a key member of the global DB team to help support, administrate, and secure databases for QRT. Exposure to many aspects of DB projects, including but not limited to Administration, Always-on/High Availability, Capacity-Planning, Data Warehouse, DB design, etc. What you will do: - Work closely with users from all parts of business to define and resolve information flow and content issues - Enable and support the transformation of business requirements into database solutions - Design and develop robust cutting edge systems to keep QRT business at the forefront of its field Requirements - Experience in database administration within a production environment for below DB product is preferred: clickhouse, snowflake, - Through understanding of DB monitoring, analysis, disaster recovery, and performance tuning - Familiarity with UNIX/LinuxExperience in one or more database programming languages (SQL, T-SQL, PL/SQL etc.) for design, maintain, administrate, secure, backup and recovery across production, back test, UAT and development environments - Experience of managing security and permissionsKnowledge of industry best practices
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TITLE: Analytics Engineer
EMPLOYER: Mayflower
LOCATION: Limassol, Lemesos, Cyprus (unspecified)
SALARY: Not disclosed
POSTED: 2026-03-11
APPLY_URL: https://mayflower.recruitee.com/o/analytics-engineer
EXCERPT: Analytics Engineer Limassol, Lemesos, Cyprus Mayflower is a technology company that alters the entertainment industry to a new level of perception and engagement. We are developing a partner advertising high-load system with a large RPS, convenient and modern interface. We are growing exponentially and successfully implementing new technologies to accelerate this growth and the system as a whole. Now we look for a Analytics Engineer to join our team. Job Responsibilities - Transform business requirements into data models and ETL processes - Develop and maintain data marts (Spark, Iceberg, Clickhouse) using DBT - Write and optimize SQL queries for analytical tasks - Document data models and business logic - Ensure data quality through automated tests - Collaborate with analysts to understand data needs - Optimize ETL pipelines and query performance - Monitor and troubleshoot data pipeline issues - Participate in code reviews and develop team best practices You'll thrive here if you have SQL (advanced level): - Complex analytical queries (window functions, CTEs, subqueries) - Knowledge of OLAP systems specifics - Understanding of execution plans and performance optimization (as a plus) Python (intermediate level): - Data processing (pandas, polars) - Task automation (Airflow) DBT - Building transformation DAGs - Incremental models and snapshots - Model documentation - Data testing experience will be a plus Analytical thinking: - Understanding business processes and their reflection in data - Ability to translate business requirements into technical solutions - Knowledge of metrics and KPIs That can be a plus: - Spark, including PySpark -
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TITLE: Staff Software Engineer | Backend
EMPLOYER: Formal
LOCATION: San Francisco (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/formal/655536d5-5f3b-46d9-938d-b18bd54ff3c3
EXCERPT: Staff Software Engineer | Backend San Francisco ABOUT FORMAL Formal is data security platform designed to help teams understand and control their data on autopilot. We're building a modern protocol-aware reverse-proxy for datastores and APIs that helps organizations understand their data in real-time. This allows teams to see how sensitive data is stored, consumed, and used in order to enforce least privilege through masking, filtering, or anonymization policies. We are trusted by leading companies such as Ramp http://Ramp.com, Gusto http://Gusto.com, Notion http://Notion.com to solve problems across data security and compliance, data quality management, and infrastructure access. Formal is backed by top-tiers VCs including Thrive Capital and Y Combinator with angel investors that include executives and founders from Datadog, Clickhouse, Plaid, and Vanta. ABOUT THE ROLE Formal is on a mission to build the best engineering team and we're looking for people who want to make outsized impact on shaping the product and building the company. Our ideal candidate has a deep understanding of building scalable backend systems, a strong sense of ownership, and enjoys owning projects from inception to scaling it in production. Our tech stack currently involves Golang, Rust, Temporal, Datastore protocols (Postgres, S3, Kafka, MySQL, Snowflake, Redshift, SSH), and AWS WHAT YOU'LL DO - Design and develop a high performance data platform that can handle large volumes of data in real-time - Build new product features from start to finish through to research, implementation, and maintenance - Help improve performance and reliability of net new and existing features
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TITLE: Backend Engineer - Enterprise
EMPLOYER: xAI
LOCATION: Tokyo, JP (unspecified)
SALARY: Not disclosed
POSTED: 2025-12-17
APPLY_URL: https://job-boards.greenhouse.io/xai/jobs/5006477007
EXCERPT: Backend Engineer - Enterprise Tokyo, JP ABOUT xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: The Enterprise Agents Engineering Team at xAI is a team of builders solving the hardest problems in applied AI: integrating with messy systems, orchestrating complex workflows, and harnessing AI to transform business operations. We build full-stack solutions with ownership of end-to-end product execution from ideation to deployment, collaborating closely with our team to incorporate cutting-edge AI advancements into robust and reliable user-centric solutions. Through an iterative development process, we work hand-in-hand with customers to gather feedback, refine features, and evolve products to address real-world challenges. BASIC QUALIFICATIONS: - Expert knowledge of either Rust or C++, - Experience in designing, implementing, and maintaining reliable and horizontally scalable distributed systems, - Knowledge of service observability and reliability best practices, - Experience in operating commonly used databases such as PostgreSQL, Clickhouse, and CockroachDB
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TITLE: Senior Site Reliability Engineer, Kong Konnect
EMPLOYER: Kong
LOCATION: Canada, Toronto, Ontario (unspecified)
SALARY: Not disclosed
POSTED: 2025-11-05
APPLY_URL: https://jobs.ashbyhq.com/kong/3fd05ac3-b247-4d01-abb8-5deeef000347
EXCERPT: Senior Site Reliability Engineer, Kong Konnect Canada, Toronto, Ontario Are you ready to unlock intelligence? If you don't think you meet all of the criteria below but are still interested in the job, please apply. Nobody checks every box - we're looking for candidates that are particularly strong in a few areas, and have some interest and capabilities in others. About the Role: As a Site Reliability Engineer , you'll join the global Platform SRE team responsible for building, operating, and scaling Kong's multi-region SaaS platform that powers the world's API connectivity. You'll design, automate, and run production systems serving thousands of customers across AWS, GCP, and Azure. You'll work on everything from multi-region Kubernetes clusters to service mesh and gateway architectures , ensuring the reliability, scalability, and security of Kong's SaaS offerings. This is a hands-on role ideal for engineers who thrive on running production SaaS systems at scale , automating operations, and continuously improving performance, resilience, and deployment pipelines. What You'll Do: - Operate and scale Kong's global SaaS platform (Konnect) , ensuring reliability, availability, and performance across regions and clouds. - Build, automate, and maintain Kubernetes-based infrastructure and deployment workflows using Terraform/Terragrunt , Helm , and ArgoCD . - Design, maintain, and optimize multi-region data and caching layers - including PostgreSQL, Redis, ClickHouse, and Druid - for high availability and low latency. - Operate and improve Kong Gateway and Kong Mesh environments supporting hybrid and distributed architectures. - Develop and maintain CI/CD pipelines and GitOps workflows to
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TITLE: Staff Database Engineer
EMPLOYER: SHEIN
LOCATION: San Diego (unspecified)
SALARY: $150K-$200K
POSTED: 2026-02-05
APPLY_URL: https://job-boards.greenhouse.io/shein/jobs/5109481008
EXCERPT: Staff Database Engineer San Diego About SHEIN SHEIN is a global online fashion and lifestyle retailer, offering SHEIN branded apparel and products from a global network of vendors, all at affordable prices. Headquartered in Singapore, with more than 15,000 employees operating from offices around the world, SHEIN is committed to making the beauty of fashion accessible to all, promoting its industry-leading, on-demand production methodology, for a smarter, future-ready industry. Position Summary We are seeking a Staff Database Engineer (Official Title: Staff Database Engineer I) with experience managing large-scale, mission-critical environments that require zero downtime. As part of the SHEIN DBRE team, you will play a key role in ensuring the reliability, performance, and security of our database infrastructure through automation and scalable solutions. Our team integrates DBA, SRE, and DBRE expertise to deliver highly available data services. We design resilient architectures to meet evolving business and data processing demands, prioritizing efficiency and system reliability. While each team member may have their preferred technologies, a deep understanding of database fundamentals-and how different database systems interact with applications and operating systems-is essential for success. This role requires collaboration across multiple customer environments and global teams. This role requires independent execution and the ability to manage critical production systems without direct supervision. Commitment to incident response and adherence to on-call responsibilities is essential. Job Responsibilities - Maintain scalable, reliable, and robust production database environments across various database systems, including MySQL, ClickHouse, and MongoDB. - Continuously monitor database health, proactively diagnose issues, and implement
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TITLE: Director, Data Platform Engineering
EMPLOYER: Lila Sciences
LOCATION: San Francisco, CA USA (unspecified)
SALARY: $232K-$346K
POSTED: 2026-04-01
APPLY_URL: https://job-boards.greenhouse.io/lilasciences/jobs/4202443009
EXCERPT: Director, Data Platform Engineering San Francisco, CA USA Your Impact at LILA Lila is seeking a highly motivated and experienced engineering leader to lead a team responsible for our Lila's product data platform. You will own the data platform and infrastructure end-to-end - architecture, delivery, reliability, and developer/data scientist experience. Our mission is to deliver Scientific Super Intelligence through a reliable, scalable, and self-service infrastructure for data ingestion, storage, processing, and interaction - enabling AI/ML, product teams, and scientists to build data-intensive applications with confidence and speed. Our platform supports analytical and machine learning workloads across Lila, serving autonomous DBTL cycles, instrument data pipelines, and AI inference workflows. You will be responsible for building and leading a team of talented engineers, driving technical strategy, and ensuring the scalability and performance of our data management and data serving capabilities of our Data Platform. You will work closely with data scientists, data engineers, lab scientists, and product teams to understand their needs and deliver innovative solutions that leverage the power of cutting edge data processing technologies. What You'll Be Building - Team Leadership: Build, mentor, and manage a high-performing team of 8-12 data engineering experts. Evaluate and adopt modern data infrastructure - including real-time streaming (Kafka, Flink), columnar engines (DuckDB, ClickHouse), lake house, and cloud-native object storage architectures; Foster a culture of collaboration, innovation, and continuous improvement; Provide technical guidance and mentorship to team members, promoting their professional growth; Conduct performance reviews, provide feedback, and identify opportunities for training and development; Manage
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TITLE: Account Executive
EMPLOYER: Formal
LOCATION: San Francisco (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/formal/411783ef-c2dd-45bb-86c9-e27cc9ea89dc
EXCERPT: Account Executive San Francisco ABOUT FORMAL Formal is data security platform designed to help teams understand and control their data on autopilot. We're building a modern protocol-aware reverse-proxy for datastores and APIs that helps organizations understand their data in real-time. This allows teams to see how sensitive data is stored, consumed, and used in order to enforce least privilege through masking, filtering, or anonymization policies. We are trusted by leading companies such as Ramp http://Ramp.com, Gusto http://Gusto.com, Notion http://Notion.com to solve problems across data security and compliance, data quality management, and infrastructure access. Formal is backed by top-tiers VCs including Thrive Capital and Y Combinator with angel investors that include executives and founders from Datadog, Clickhouse, Plaid, and Vanta. ABOUT THE ROLE We're looking for account executives who want to roll up their sleeves and help close deals and develop our go-to-market motion. You'll need to iterate on positioning, lead generation, and closing processes. We're looking for people to develop our GTM strategy and close key customer accounts as they build the sales process. WHAT YOU'LL DO - Generate leads through cold calling, research, networking, and driving your territory - Manage and convert inbound leads to drive revenue growth - Develop and implement full sales cycle strategies for driving product adoption, net new product sales, and client retention at scale among existing Formal customers - Collaborate with internal teams to ensure customer satisfaction and successful onboarding - Track and report on sales performance metrics - Gather client feedback to inform
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TITLE: Software Engineer, Data Platform
EMPLOYER: GlossGenius
LOCATION: Hybrid - SF Bay Area (hybrid)
SALARY: $200K-$236K
POSTED: 2025-11-25
APPLY_URL: https://job-boards.greenhouse.io/glossgenius/jobs/7538131003
EXCERPT: Software Engineer, Data Platform Hybrid - SF Bay Area About GlossGenius GlossGenius is the AI-powered system behind the world's most meaningful appointments, helping 100,000+ service businesses earn more revenue and free up time for the work they love. Our agentic workforce gets more clients in the door, grows profit per appointment, and keeps clients coming back - doing the jobs owners never had time for and couldn't justify hiring to fill. Businesses on GlossGenius process billions in annual payment volume, and see 65% more revenue using GlossGenius Payments by growing ticket size, rebooking clients at checkout, and saving on processing fees. About the Role This role is at the center of building a cohesive, reliable, and AI-ready data platform powering all aspects of GlossGenius' data platform and infrastructure. Core responsibilities include building out the operational data ingestion, event streaming, and reliability practices that our analytics engineers, ML engineers, and product teams depend on. If you thrive on both shaping and building end-to-end data pipelines serving customers in many roles, this will feel right. You must be commutable to our SF office. We default to being in-office 3 days per week. What You'll Do : - Architect and build the core ingestion pipelines that move data from production systems, relational databases, and distributed datastores into our Snowflake and Clickhouse warehouses via near-real-time streaming and batch workflows - Own data platform reliability end-to-end: monitoring, incident response, SLOs, and the unglamorous work of keeping things running for 100,000+ service businesses - Design and
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TITLE: Channel Account Specialist
EMPLOYER: Formal
LOCATION: San Francisco (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/formal/7e7ea2d2-c07e-447c-8f74-6da8b8fefa94
EXCERPT: Channel Account Specialist San Francisco ABOUT FORMAL Formal is data security platform designed to help teams understand and control their data on autopilot. We're building a modern protocol-aware reverse-proxy for datastores and APIs that helps organizations understand their data in real-time. This allows teams to see how sensitive data is stored, consumed, and used in order to enforce least privilege through masking, filtering, or anonymization policies. We are trusted by leading companies such as Ramp http://Ramp.com, Gusto http://Gusto.com, Notion http://Notion.com to solve problems across data security and compliance, data quality management, and infrastructure access. Formal is backed by top-tiers VCs including Thrive Capital and Y Combinator with angel investors that include executives and founders from Datadog, Clickhouse, Plaid, and Vanta. ABOUT THE ROLE As our Channel Account Specialist, you will play a crucial role in shaping Formal's relationships with channel partners. You'll work closely with our product, sales, and leadership teams to develop and execute partner strategies that drive growth and establish Formal as a leader in the data security space. WHAT YOU'LL DO - Strategic Planning: Develop and implement a comprehensive channel strategy to drive revenue growth and expand the partner ecosystem. - Partner Recruitment: Identify, recruit, and onboard new channel partners, including resellers, distributors, and strategic alliances. - Relationship Management: Build and maintain strong, long-term relationships with key partners, serving as the primary point of contact and advocate for their needs. - Sales Enablement: Provide partners with the necessary tools, training, and resources to effectively sell and support
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TITLE: Site Reliability Engineer (Edge Services), Infrastructure Services
EMPLOYER: Apple
LOCATION: Austin, United States of America (unspecified)
SALARY: $132K-$245K
POSTED: 2026-05-18
K401_MATCH: yes (source-backed)
K401_SOURCE_URL: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip
APPLY_URL: https://jobs.apple.com/en-us/details/200663929/site-reliability-engineer-edge-services-infrastructure-services?team=SFTWR
EXCERPT: Site Reliability Engineer (Edge Services), Infrastructure Services Austin, United States of America We are seeking a proactive Site Reliability Engineer to champion the evolution of our production ecosystems. In this role, you will help drive the vision for our visibility, moving beyond simple uptime metrics to build a sophisticated, data-driven reliability framework. You will play a pivotal role in ensuring our services are resilient, scalable, and observable, bridging the gap between complex distributed systems and seamless user experiences. As a key member of the SRE team, your mission is to treat operations as a software problem. You will focus on designing and implementing a next-generation observability and alerting strategy that prioritizes high-cardinality data and meaningful signals over noise. You will spend your time building "self-healing" systems, reducing toil through aggressive automation, and partnering with development teams to bake reliability into the CI/CD pipeline. Your goal is to move us toward a proactive stance where performance bottlenecks are identified and mitigated before they impact the customer. Minimum Qualifications: Understanding of Linux internals and deep networking expertise, including HTTP/2, HTTP/3 (QUIC), and HTTPS/TLS. You should be comfortable debugging protocol-level issues and optimizing traffic flow. Proven ability to automate repetitive tasks and complex workflows using Python or Go Experience configuring and managing modern monitoring suites (e.g., Prometheus, Grafana, ClickHouse) with a focus on creating actionable, high-signal quality alerting. Grasp of Data Structures and Algorithms (DSA) to write efficient, performant code and troubleshoot complex system bottlenecks. Practical knowledge of SLIs, SLOs, Error Budgets, Release
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TITLE: Software Developer 2
EMPLOYER: T-Rex Solutions
LOCATION: Fort Meade, MD (unspecified)
SALARY: $160K-$190K
POSTED: 2026-06-12
APPLY_URL: https://www.trexsolutionsllc.com/current-opportunities-at-trex/?gh_jid=8439189002
EXCERPT: Software Developer 2 Fort Meade, MD Are you ready to make a significant impact by supporting critical national security infrastructure? T-Rex Solutions is looking for a fully cleared Software Developer 2 to join our dynamic team at Ft. Meade, MD in support of the Intelligence Community. We are seeking an experienced Software Developer Developer who will provide full-stack java software development in support of the Data Transformation Solutions (DTS) TTO. The candidate will be responsible for developing the middle tier to backend data storage, along with ETL (Extract, Transform, Load) development support. The candidate will contribute to innovative projects, working with cutting-edge technologies to deliver robust and scalable solutions. The candidate will play a crucial part in designing, developing, and deploying applications that meet our clients' evolving needs. Responsibilities: Java and JavaScript • Python • Agile software environment • Experience utilizing corporate authentication services into a secure full stack solution • Experience delivering full stack solutions with large data sets • Experience with developing in a micro-services framework • Familiar with design and implementation of local caching services • Experience with ETL (Extract, Transform, Load) • Docker & Docker Compose • Kubernetes • Jenkins • Github and Gitlab • Jira and Confluence Desired skills/Experience: • Knowledge of commercial cloud services, preferably AWS • PostgreSQL / Nosql • Go, Rust, and/or C++ • Lib development • Vue • MinIO, Clickhouse, Graphite Requirements: Bachelor's and 14 years of related experience or 18 years of related experience without a degree. Active TS/SCI w/
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TITLE: Data Platform Engineer - Database & Infrastructure
EMPLOYER: Qube Research & Technologies
LOCATION: Paris (unspecified)
SALARY: Not disclosed
POSTED: 2026-01-20
APPLY_URL: https://job-boards.greenhouse.io/quberesearchandtechnologies/jobs/8381542002
EXCERPT: Data Platform Engineer - Database & Infrastructure Paris Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT's collaborative mindset which enables us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high quality returns for our investors. We operate one of the most demanding data infrastructures in finance, supporting mission-critical distributed systems across multiple database and streaming platforms, with strict requirements around availability and performance. Our environment spans both on-prem infrastructure and AWS, with a strong focus on standardization, automation, and Kubernetes-based orchestration. We are looking for an experienced Data Platform Engineer to join our DevOps team in Paris. This role is fully on-site , with a strong focus on ensuring the reliability and scalability of our production data infrastructure. Your future role within QRT: This role sits at the intersection of data engineering and infrastructure engineering, focused on building reliable, scalable, and high-performance data platforms. Your responsibilities will include: - Ensuring reliability and performance of production data systems (ClickHouse, CockroachDB, Trino, etc.) - Designing and operating database clusters on Kubernetes (via operators) - Building and maintaining data pipelines (ingestion, transformation, replication) - Driving Infrastructure-as-Code practices (Terraform, Helm) - Operating storage and data platforms across on-prem (VAST) and AWS (S3, EMR, MSK, RDS, EKS) - Managing
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TITLE: Founding Designer
EMPLOYER: Formal
LOCATION: San Francisco | OnSite (onsite)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/formal/8ae393a9-23d3-4fb8-a800-a763b2c85854
EXCERPT: Founding Designer San Francisco | OnSite ABOUT FORMAL Formal is data security platform designed to help teams understand and control their data. We're building a modern protocol-aware reverse-proxy for datastores and APIs that helps organizations understand their data in real-time. This allows teams to see how sensitive data is stored, consumed, and used in order to enforce least privilege through masking, filtering, or anonymization policies. We are trusted by leading companies such as Ramp http://Ramp.com, Gusto http://Gusto.com, Notion http://Notion.com to solve problems across data security and compliance, data quality management, and infrastructure access. Formal is backed by top-tiers VCs including Thrive Capital and Y Combinator with angel investors that include executives and founders from Datadog, Clickhouse, Plaid, and Vanta. ABOUT THE ROLE As our Founding Designer you will play a crucial role in shaping and communicating Formal's story by owning UI/UX, visual design, branding, and video production. You'll have ownership of our design strategy and execution, working directly with the CEO and collaborating closely with engineering. WHAT YOU'LL DO - Design Interfaces: Develop intuitive UI/UX designs for our app using Figma while engaging directly with customers to shape product design. - Design and maintain our website. Create visually striking and intuitive web experiences that showcase our product and brand narrative. - Craft Visuals: Create engaging visuals and dynamic content for marketing, launches, and case studies. - Drive Branding: Ensure design consistency across Formal's brand identity. - Collaborate Cross-functionally: Work directly with the team to align design strategies with business goals.
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TITLE: Senior Software Engineer
EMPLOYER: LanceDB
LOCATION: HQ | Remote (remote)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/lancedb/9454302d-3d40-4ed4-832e-c1590ff497fc
EXCERPT: Senior Software Engineer HQ | Remote ABOUT LANCEDB LanceDB http://lancedb.com/ is the preeminent data platform for multimodal AI use cases. From hyper-scalable vector search to advanced retrieval for RAG, from streaming training data to interactive exploration of large-scale AI datasets, LanceDB is the best foundation for your AI application, and powers some of the most groundbreaking applications and challenging requirements today. ABOUT THE ROLE We're looking for a Senior Software Engineer to help expand the reach of Lance and LanceDB within the broader data infrastructure ecosystem. You'll work at the intersection of high-performance computing, big data, and open-source systems. You will contribute scale and performance improvements, integrations with the wider data and AI ecosystem, simplifying distributed operations, and usability and maintainability enhancements. YOU'LL BE RESPONSIBLE FOR - Designing and maintaining efficient distributed Lance dataset operations - Building efficient indices to enable predicate pushdown and accelerate queries in Spark, Ray, or Trino - Working on table formats, data encodings, and various aspects of the Lance format in Rust - Driving open-source community efforts to integrate the Lance format with Spark, Hive Metastore, Presto, Trino, Ray, and other data infrastructure systems - Operating and improving internal data processing infrastructure - Promoting the Lance format in open-source communities and at Big Data conferences REQUIREMENTS - 10+ years of experience building high-performance databases, big data systems, or large-scale data services - Deep understanding of internals of open-source Big Data or AI training systems (e.g., Hadoop, Spark, Flink, Ray, Iceberg, Delta Lake, Hudi, ClickHouse, Trino,
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TITLE: Senior Data Platform Engineer
EMPLOYER: SumUp
LOCATION: Berlin, Germany (unspecified)
SALARY: Not disclosed
POSTED: 2026-01-28
APPLY_URL: https://sumup.com/careers/positions/8364210002?gh_jid=8364210002
EXCERPT: Senior Data Platform Engineer Berlin, Germany As part of the Platform tribe, you will help build a self-service, AI-Ready Data Platform. The Data Platform team supports our next big bets: Data, AI, and real-time analytics. We are a team focused on building scalable, reliable infrastructure to enable our global data community. What you'll do - Build and maintain best-in-class data infrastructure for critical processes. - Develop features that strengthen self-service, including for ETL and orchestration. - Optimise processes to use compute more efficiently and reduce cost. - Automate operations so the platform stays highly available. - Contribute to the design and implementation of new services. You'll be a strong fit if you - Have experience with infrastructure as code and containerisation (e.g. Terraform, Helm, Docker, Kubernetes). - Have used modern query engines (e.g. Snowflake, Databricks, BigQuery, Trino). - Have worked with modern data orchestration tools (e.g. Airflow, Dagster). - Are proficient in at least one of our main languages: Python or Go. - Bring a pragmatic, team-first mindset. - Are self-motivated, work well independently, and can balance stakeholder needs. Nice to have - Experience building and operating performant API layers. - Experience with dbt for transform, test, and documentation workflows. - Query optimization at scale. - Real-time streaming (e.g. Kafka, Flink, StarRocks, Pinot, Druid, ClickHouse). - Experience with systems at petabyte scale. - Experience implementing AI-enabled systems (e.g. agentic SRE, AI automation). About SumUp We believe in the everyday hero. Small business owners are at the heart of all we
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TITLE: Product Marketing Manager
EMPLOYER: Formal
LOCATION: San Francisco (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/formal/644ac896-4320-4157-b20e-7484ab8ee5c9
EXCERPT: Product Marketing Manager San Francisco ABOUT FORMAL Formal is data security platform designed to help teams understand and control their data on autopilot. We're building a modern protocol-aware reverse-proxy for datastores and APIs that helps organizations understand their data in real-time. This allows teams to see how sensitive data is stored, consumed, and used in order to enforce least privilege through masking, filtering, or anonymization policies. We are trusted by leading companies such as Ramp http://Ramp.com, Gusto http://Gusto.com, Notion http://Notion.com to solve problems across data security and compliance, data quality management, and infrastructure access. Formal is backed by top-tiers VCs including Thrive Capital and Y Combinator with angel investors that include executives and founders from Datadog, Clickhouse, Plaid, and Vanta. ABOUT THE ROLE As our Product Marketing Manager, you will play a crucial role in shaping and communicating Formal's value proposition to our target market. You'll work closely with our product, sales, and leadership teams to develop and execute marketing strategies that drive growth and establish Formal as a leader in the data security space. WHAT YOU'LL DO - Develop and execute marketing strategies that align with Formal's business objectives and target audiences - Build marketing campaigns (including in-person events, digital events, social/PR, customer marketing) to drive sales pipeline and acquire new customers - Create and maintain product positioning and messaging that differentiates Formal in the market - Produce high-quality marketing collateral, including whitepapers, case studies, blog posts, and sales enablement materials - Work closely with the sales team to
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TITLE: Staff Software Engineer
EMPLOYER: Moonshot AI
LOCATION: New York City, New York, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-01-23
APPLY_URL: https://jobs.ashbyhq.com/moonshot-ai/54aea9c8-267f-437a-b061-02f48cf48450
EXCERPT: Staff Software Engineer New York City, New York, United States Why Moonshot AI? Imagine websites that rebuild themselves on autopilot to sell more, convert better, and grow faster. At Moonshot AI , we're making that happen - merging generative AI, large-scale data pipelines, and experimentation into a self-evolving web. We're a well-funded, very early-stage startup with a massive vision. Joining now means you're not just an employee - you're helping set the technical and cultural DNA of the company. If you've ever wanted the autonomy of a founder with the backing of top-tier investors, this is it. What You'll Build & Lead As our Staff Software Engineer , you'll be the technical backbone behind Moonshot's evolution engine - designing scalable systems, guiding engineering strategy, and mentoring the builders around you. You'll balance hands-on depth with architectural altitude, turning vision into technical reality. You will: - Work at the forefront of generative AI and agentic flows - build systems that let AI autonomously reason, experiment, and deploy real changes to the web. - Architect the next generation of Moonshot's experiment engine - scalable, observable, fault-tolerant, built for millions of daily events. - Design and evolve our backend infrastructure across Python (Flask-RestX), serverless AWS, and data pipelines (ClickHouse, Postgres, Kinesis, Firehose, S3). - Drive technical strategy - define our engineering principles, evolve architecture across microservices, ingestion, and LLM-driven systems. - Mentor and multiply - uplevel senior and mid-level engineers through code reviews, pairing, and design docs. - Collaborate cross-functionally - work with
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TITLE: Senior Data Engineer
EMPLOYER: Together AI
LOCATION: San Francisco (unspecified)
SALARY: $160K-$240K
POSTED: 2025-05-15
APPLY_URL: https://job-boards.greenhouse.io/togetherai/jobs/4737079007
EXCERPT: Senior Data Engineer San Francisco About the Role Together AI is looking for a Senior Data Engineer to help define, build, and operate the data infrastructure that handles millions of events every day to power Together's mission-critical systems. As a Senior Data Engineer, you will work with our Data and Commerce engineering team to scale the data processing components of Together's usage-based billing system, real-time customer-facing analytics product, and internal business intelligence tools. You will work across both cloud-native services and globally distributed data centers. If you thrive in fast-paced environments and have a passion for defining and building early-stage data platforms for a rapidly scaling and data-intensive company, this is for you. Requirements - 5+ years of demonstrated experience in building large scale, fault tolerant, distributed data platforms, stream processing pipelines, ETLs, etc - Expert-level skills in designing, building, and operating stream processing pipelines with services like AWS Kinesis, Apache Kafka, or Redpanda - Expert-level knowledge of building real-time customer facing analytics systems using services like AWS TimeStream or Clickhouse - Proficiency in writing and maintaining Infrastructure as Code (IaC) using tools like Terraform, AWS CDK, or Pulumi - Proficiency in version control practices and integrating IaC with CI/CD pipelines. - Proficiency in implementing and managing GitOps workflows with tools such as ArgoCD, Github Actions, TeamCity, or similar - Proficiency in one or more of Golang, Rust, Python, Java, or TypeScript - Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical
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TITLE: Member of Technical Staff, Infrastructure
EMPLOYER: Vapi
LOCATION: San Francisco | OnSite (onsite)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/vapi/295f5269-1bb5-4740-81fa-9716adc32ad5
EXCERPT: Member of Technical Staff, Infrastructure San Francisco | OnSite Voice AI that resolves, not transfers. Most phone systems trap callers in menus and scripts. Vapi is the platform for deploying voice agents that know your business and can listen, adapt, and resolve in minutes. - The numbers: 1 billion calls. 1 million developers. 10x enterprise ARR growth - The customers: Amazon Ring, ServiceTitan, New York Life, Intuit, Kavak, and thousands more, from YC startups to the Fortune 500 - The news: a $50M Series B led by Peak XV Partners, with Bessemer Venture Partners, Kleiner Perkins, M12 (Microsoft's Venture Fund), Y Combinator, and our earlier backers. Total raised: $72M WHY WE'RE HIRING THIS ROLE: - Vapi runs live phone calls - when something breaks, callers hear it. We're building cell-based, multi-region infrastructure to drive 99.99% call completion, and this hire owns the foundation: multi-cluster Kubernetes on EKS, a stateful data plane (Postgres, Redis, Kafka, Temporal, ClickHouse), Envoy/Cilium networking, and multi-region Kafka on MSK across EU and ANZ. - You'll write Go for control-plane services like cluster-manager, traffic-control-plane, and environment-manager, and you'll set the bar for how Vapi runs stateful workloads at scale. WHAT YOU'LL DO: - 30 Day: Ramp on the cell-based architecture, the regional EKS clusters (backend / networking / persistence / monitoring / models / kafka), and the Pulumi stacks. Shadow oncall, walk recent incidents (Envoy response flags, conntrack drops, cross-zone LB target resets), and own a first scoped infra change end-to-end. - 60 Day: Take ownership of
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TITLE: Member of Technical Staff (Software Engineer, Data Platform)
EMPLOYER: Perplexity
LOCATION: San Francisco, California, United States, New York City, Palo Alto (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-03
APPLY_URL: https://jobs.ashbyhq.com/perplexity/2e73bc78-684c-47c5-95df-e9973a10e0b6
EXCERPT: Member of Technical Staff (Software Engineer, Data Platform) San Francisco, California, United States, New York City, Palo Alto About the Role The Data Platform team owns the end-to-end data lifecycle at Perplexity, from ingestion through processing, storage, and serving, powering product features, analytics, experimentation, AI workloads, and the company's data lake. The team defines the architecture for batch and streaming systems, the orchestration and observability stack, and a self-serve data platform, while thoughtfully combining platforms such as Databricks and Snowflake with open-source technologies including Spark, Kafka, Flink, Airflow, Dagster, dbt, Iceberg, Delta Lake, and ClickHouse. In this senior/staff role, you will shape architecture, set standards, and drive the long-term technical direction of Perplexity's data ecosystem. Key Responsibilities - Design and operate large-scale batch and streaming data pipelines that directly power Perplexity product features, AI training and evaluation workflows, analytics, and experimentation. - Build event-driven and streaming systems (Kafka, Kinesis, PubSub, or similar) for real-time ingestion, transformation, and delivery, alongside batch frameworks for backfills, aggregations, and offline computation. - Lead the architecture of data orchestration using tools like Airflow or Dagster, owning scheduling, dependency management, retries, SLAs, and end-to-end observability for critical data flows. - Set and enforce guarantees for data correctness, freshness, lineage, and recoverability, designing systems that handle rapid scale growth, partial failures, and evolving schemas without disrupting AI workloads or product experiences. - Build self-serve data platforms that let engineers, data scientists, and analysts safely discover data, define contracts, and create and operate their own pipelines with minimal
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