Lancedb jobs

Senior Support Engineer HQ | Remote About LanceDB LanceDB is a high-performance, open-source, cloud-native database built for multimodal workflows. From vector search at multi-billion scale to real-time retrieval, feature engineering, and analytics across large-scale datasets, LanceDB powers AI data infrastructure. We're looking for a hands-on, technically strong Support Engineer who will be the bridge between our engineering team and enterprise users of LanceDB, helping our customers debug distributed databases built in Rust. YOUR ROLE - As one of the early team members, build our support infrastructure and practices while handling customer cases: - Develop and maintain knowledge-base articles, runbooks, and support tooling that document common issues, best practices, deployment patterns, and performance tuning. - Contribute to metrics around support response-times, resolution times, customer satisfaction, and help build a scalable support organization as we grow. - Work proactively: identify recurring issues, escalate product bugs or UX gaps, propose improvements in the support process, and advocate for the customer in the roadmap. - Serve as one of the primary technical points of contact for our customers: troubleshoot issues, respond to escalations, and guide customers through full lifecycle support for large-scale deployments of LanceDB. - Work in close collaboration with our engineering and product teams to reproduce issues, debug root causes, propose remediation, and drive fixes or enhancements. - Dive deeply into distributed database internals: query execution, storage engine, indexing, sharding, replication, fail-over, and cloud orchestration (Kubernetes, serverless-style deployments). - Use and contribute to Rust codebases: reproduce customer environments, inspect logs, build diagnostic

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,

Senior Fullstack Engineer HQ | Remote ABOUT LANCEDB LanceDB http://lancedb.com/ is a developer-friendly, open-source database for multimodal AI. 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 and challenging applications today. ABOUT THE ROLE We're seeking an experienced Fullstack Engineer to join our world-class team, polishing the user experience of the frontier of high-performance vector databases in the cloud. YOU'LL BE: - Creating the most compelling experience for users to explore and manage their multimodal data. - Closely working with the rest of team and designers to optimize user experience. - Building scalable backends for LanceDB Cloud that offer a serverless experience for billion-scale datasets - Fast pace with a stellar team of core contributors to incredible projects like Python Pandas, Arrow, Delta-rs, Hadoop, to define the next generation data system for AI - Future leadership opportunities as the team grows. - Be the driving force to raise the bar and strive for better architecture and best practices within the company. - Our tech stack: Typescript, React, Python, Rust, AWS / Google Cloud / Azure / K8s / Terraform REQUIREMENTS: - You have at least 6 years of experience in developing front-end applications. - You have a thorough understanding of Typescript, React/Next.js/Vercel, HTML, CSS, and can independently work with designers to build stunning applications. - You have worked on both frontend UIs as

Senior Product Manager HQ | Remote Role - Our first product-focused engineer - Takes high-level direction (e.g., "analyze X") and drives to results - Success looks like a LanceDB platform that is even more tightly focused on our ICP, and providing clarity on what engineering builds Day-to-day - Shape roadmap with CTO + eng leadership - Deep dives into competitors, users, and adjacent tech - Talk to users constantly; turn insight into product changes - Drive cross-team decisions on priorities (eng, field, support) - Work with engineering directly as a technically-respected peer Qualifications - 5-8+ years as a software engineer or in a highly technical product role - Shipped and iterated on products end-to-end - Experience working on large-scale data platforms (e.g., databases, data infra, ML/AI systems) - Understanding of AI researcher persona - what success looks like for them, what are their pain points, what increases their happiness - Regularly engaged with users (interviews, support, design partners, or community) - Demonstrated ownership of ambiguous projects with minimal guidance - Experience influencing or driving roadmap / prioritization decisions - Strong written and verbal communication (can drive alignment across teams) - Comfortable using data (metrics, experiments, usage) to guide decisions - Experience contributing to or working with open source communities Why - Help define and execute product at LanceDB - Work directly with teams building real AI systems in production - Sit at the center of infra + product-few roles like this exist - High ownership, zero PM theater - Early

Senior Solutions Engineer San Francisco | OnSite ABOUT LANCEDB LanceDB http://lancedb.com/ is a developer-friendly, open-source data lake for multimodal AI. 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 are looking for a Senior Solutions Engineer who blends deep technical understanding of AI/ML infrastructure with excellent communication and solution-building skills. In this role, you will serve as a trusted advisor to prospective customers, design partners, and strategic accounts-bridging the gap between cutting-edge AI engineering and real-world business use cases. This role is ideal for someone who thrives at the intersection of technical depth and customer interaction, and who enjoys crafting solutions, demos, and integrations that showcase LanceDB's strengths in production environments. YOUR RESPONSIBILITIES WILL INCLUDE - Serve as the technical lead in pre-sales conversations-partnering with account executives to scope, solution, and articulate the value of LanceDB for customer-specific workflows. - Lead technical discovery and architecture design sessions with prospects across verticals including AI infra, LLM ops, and multimodal data pipelines. - Build and deliver custom demos and proof-of-concepts to highlight how LanceDB solves challenging RAG, vector search, and feature engineering problems. - Act as the bridge between customer pain points and our engineering/product teams-informing roadmap priorities with real-world feedback. - Partner closely with design partners and early adopters to ensure successful onboarding and expansion.

Principal Technical Program Manager, DynamoDB Seattle, Washington, USA Amazon DynamoDB is a fully managed, serverless, NoSQL database that does all this and more! It provides fast and predictable performance with seamless scalability. DynamoDB receives tens of millions of read and write requests per second to databases that are hundreds of terabytes in size. DynamoDB is one of the largest distributed database systems in the world, and we continue to believe it is Day 1 for the DynamoDB business. As a Principal Technical Program Manager for the DynamoDB, you will play a critical role in continually improving customers' experience with the service. The DynamoDB team is looking for a customer-obsessed, team-driven principal technical program manager to own capacity management, release coordination across different DynamoDB teams and building tracking mechanisms to improve operations of various services. Key job responsibilities How can you tell if you're the right fit for this role? For one, you live for metrics, benchmarking, and planning. You're always on the hunt to deliver results in any given system, and looking to solve complex problems. You lead cross-functional teams of engineers, analysts, and program managers to achieve organizational goals. You encourage others to tackle hard problems. You also hunger to give customers what they want: fast and predictable database performance at any scale. You will have the opportunity to work closely with service teams, infrastructure, and business development to design and deliver new features in front end services areas. You will collaborate with product teams to design solutions that

Software Development Engineer II, DynamoDB Fleet Services Seattle, Washington, USA Do you want to work on new scaling challenges for one of the largest databases on earth? Do you enjoy simplifying complex problems and working on distributed systems? Do you want to work on a product that can access petabytes of data in 9 milliseconds or less, back up hundreds of terabytes of data in seconds, even across continents? DynamoDB is a key-value and document database that delivers single-digit-millisecond performance at any scale. As one of the largest distributed database systems in the world, we continue to believe it is Day 1 for the DynamoDB business. We are looking for a deeply technical, team-first software development engineer to push this product even further. As our database continues to grow, we need to scale the product even further. We are rearchitecting DynamoDB's global footprint to make it even more scalable. DynamoDB engineers are constantly challenged to think of unique and innovative solutions. The quality bar is high. As an engineer here, you will work on building services that operate at a massive scale and are responsible for routing large amount of data. Our code is responsible for routing customer requests in the most efficient way across thousands of machines, while providing high throughput and low-latency experience. You will exercise your intellectual curiosity, work with motivated teams of sharp individuals, and get insightful guidance from senior and principal engineers. This is a hands-on position in which you will own everything from end

Sr. Software Development Engineer, DynamoDB Storage Engine Seattle, Washington, USA Come help us shape the future of one of the largest NoSQL database services on the planet! Amazon DynamoDB is one of the largest distributed database systems in the market, that delivers single-digit-millisecond performance at any scale. At DynamoDB, we continue to believe it is Day 1! The DynamoDB Storage Engine team is the custodian of all customer retrievable data stored on disk in DynamoDB and owns services, components and libraries that persist customer data on disk, keep it secure and make it available for timely retrieval. We are looking for senior software development engineers that are passionate about building software and making engineering decisions that have widespread impact across AWS, Amazon, and beyond. Many of the world's fastest growing businesses, such as Lyft, Airbnb, and Redfin, as well as enterprises, such as Samsung, Toyota, and Capital One, depend on the scale and performance of DynamoDB. The ideal candidate would have experience in building and operating large-scale distributed systems. Deep technical expertise and prior experience in systems development using C++ or Rust is preferred. Engineers say DynamoDB is a technically challenging space that requires unique and innovative solutions. As a senior engineer on the team you will be responsible for forging the strategy and architecture that provide the foundation for new services. In this role you will push the boundaries of what storage technology can achieve. You will ceaselessly innovate to remove abstractions to unlock crucial performance gains all while

Director, Eng, Amazon DocumentDB Seattle, Washington, USA Amazon DocumentDB is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. As a document database, Amazon DocumentDB makes it easy to store, query, and index JSON data. Amazon DocumentDB is a non-relational database service designed from the ground-up to give you the performance, scalability, and availability you need when operating mission-critical MongoDB workloads at scale. In Amazon DocumentDB, the storage and compute are decoupled, allowing each to scale independently, and you can increase the read capacity to millions of requests per second by adding up to 15 low latency read replicas in minutes, regardless of the size of your data. Amazon DocumentDB is designed for 99.99% availability and replicates six copies of your data across three AWS Availability Zones (AZs). You can use AWS Database Migration Service (DMS) for free (for six months) to easily migrate your on-premises or Amazon Elastic Compute Cloud (EC2) MongoDB databases to Amazon DocumentDB with virtually no downtime. As Director of Engineering for DocumentDB, you will be responsible for leading a group of top talent in the design and development of a product that enables customers to run MongoDB compatible workloads at scale, as a managed service on AWS. You'll also own the business strategy, P&L, and roadmap for the service and will be responsible for all aspects of its end to end engineering and growth. Leading the Amazon DocumentDB team gives you the opportunity to: • Work on a disruptive

Software Development Engineer, DynamoDB Storage Seattle, Washington, USA Do you want to work on new scaling challenges for one of the largest databases on earth? Do you enjoy simplifying complex problems and working on distributed systems? In this role you will work on a service that stores petabytes of data and maintains a very high bar for durability, availability, and performance. DynamoDB is a key-value and document database that delivers single-digit-millisecond performance at any scale. As one of the largest distributed database systems in the world, we continue to believe it is Day 1 for DynamoDB. We are looking for a deeply technical, team-first software development engineer to help us advance the product as our customer base continues to grow. DynamoDB engineers are constantly challenged to think of unique and innovative solutions. As an engineer here, you will exercise your intellectual curiosity, work with motivated teams of sharp individuals, and get insightful guidance from senior and principal engineers. Key job responsibilities - Design, build, operate, optimize highly distributed, large-scale services. - Translate requirements into detailed solution architectures and technical plans. - Work with others on the engineering team to perform day-to-day development activities, participate in design discussions, code reviews, and ongoing operations of the service. - Deliver quality engineering work on time and on budget. Execute against project plans and delivery commitments. - Scale distributed systems with optimal balance between performance and cost. - Automate and improve repetitive operational processes. - Support more junior members of the team as they

Software Engineer II, AWS DynamoDB Seattle, Washington, USA Want to help shape the future of one of the largest NoSQL database services on the planet? The Amazon DynamoDB team is looking for deeply technical, team-first-mentality software engineers who are willing to commit themselves to providing best in class database performance to AWS customers. DynamoDB is a key-value and document database that delivers single-digit-millisecond performance at any scale. As a fast-growing service at the core of the AWS Cloud, our business and engineering decisions have widespread impact across AWS, Amazon, and beyond. Many of the world's fastest growing businesses, such as Lyft, Airbnb, and Redfin, as well as enterprises, such as Samsung, Toyota, and Capital One, depend on the scale and performance of DynamoDB to support their mission-critical workloads. DynamoDB engineers are constantly challenged to think of unique and innovative solutions. The quality bar is high. As an engineer here, you will work on the hardest engineering problems in distributed systems at a massive scale and on multiple dimensions. You will exercise your intellectual curiosity, work with motivated teams of sharp individuals, and get insightful guidance from senior and principal engineers. Key job responsibilities This is a hands-on position in which you will own everything from end to end: requirements gathering, designs, design reviews, implementations, code reviews, incremental feature launches, operations, mentoring, and the driving of continuous improvement. A day in the life As an Software Development Engineer on DynamoDB Storage, you'll own features end-to-end in the storage engine powering every

Software Development Engineer II, AWS DynamoDB Seattle, Washington, USA Do you want to work on new scaling challenges for one of the largest databases on earth? Do you enjoy simplifying complex problems and working on distributed systems? Do you want to work on a product that can access petabytes of data in 9 milliseconds or less, back up hundreds of terabytes of data in seconds, even across continents? DynamoDB is a key-value and document database that delivers single-digit-millisecond performance at any scale. As one of the largest distributed database systems in the world, we continue to believe it is Day 1 for the DynamoDB business. We are looking for a deeply technical, team-first software development engineer to push this product even further. As our database continues to grow, we need to scale the product even further. We are rearchitecting DynamoDB's global footprint to make it even more scalable. DynamoDB engineers are constantly challenged to think of unique and innovative solutions. The quality bar is high. As an engineer here, you will work on building services that operate at a massive scale and are responsible for routing large amount of data. Our code is responsible for routing customer requests in the most efficient way across thousands of machines, while providing high throughput and low-latency experience. You will exercise your intellectual curiosity, work with motivated teams of sharp individuals, and get insightful guidance from senior and principal engineers. This is a hands-on position in which you will own everything from requirements gathering,

Sr Software Development Engineer, Amazon DocumentDB Seattle, Washington, USA Join us to advance the state-of-the art in database technology and serve customers all around the world. Our team develops Amazon DocumentDB (with MongoDB compatibility), a fully-managed cloud database that enables customers to persist and retrieve JSON documents. We are developing new query capabilities, pushing the bounds of performance, driving distributed systems innovation in scalability and high availability, and investing in user experience. As a Senior Software Development Engineer, you will be a critical part of our development team, responsible for optimizing storage, indexing and query performance of Amazon DocumentDB. You will take ownership of critical components, including the development of a query planner and executor, and index structures. This role places you at the heart of our core database technology team, where you will have the unique opportunity to collaborate directly with industry experts and drive the team's long-term vision forward. Your contributions will not only enhance our current database solutions but also shape the future of our technology. If you are excited by the prospect of making it easier for customers to store, query, and analyze data at scale; if you are interested in databases, operating systems, distributed systems, and/or developer tools; and if you are looking to work with teammates to propose ideas, experiment, learn, and build great software - we would love to hear from you. About the team AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed

Senior MongoDB Database Engineer 4 Locations posted: Posted 3 Days Ago

OrioleDB Developer (AMER) AMER | Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We're looking for an engineer to drive the evolution of OrioleDB https://www.orioledb.com and its collaboration with the upstream PostgreSQL community. OrioleDB is a next-generation storage engine for PostgreSQL, and this role sits at the intersection of database internals, open source community work, and Supabase's managed Postgres platform. This role requires strong working overlap with Americas time zones due to production support and on-call responsibilities. What you'll work on - New OrioleDB features. Design and implement new capabilities in OrioleDB - for example, native index access methods (GiST, GIN, HNSW for pgvector), disaster recovery tooling, and other storage-engine-level features that expand what OrioleDB can do. - Stability. Strengthen OrioleDB's reliability through deeper test coverage, fault injection, crash and recovery testing, and improvements to CI infrastructure. Ensure regressions are caught early and that OrioleDB behaves predictably under stress, replication, and failure scenarios. - Upstream collaboration. Contribute changes directly to PostgreSQL core. Part of OrioleDB lives as a patch on top of PostgreSQL - moving the right pieces upstream shrinks what we maintain ourselves and benefits the wider community. This happens through PostgreSQL's open development process: the pgsql-hackers mailing list, public code review, and commitfests. - Supabase integration. Work with Supabase's Postgres team to ensure OrioleDB

Database Support Engineer (APAC) Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We're looking for an experienced Database Support Engineer to join our Support Team and help developers unblock complex issues, build more reliably, and get the most out of the Supabase platform. You'll work closely with customers and engineering, helping us improve product quality and developer experience based on real-world usage. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions. WHAT YOU'LL BE RESPONSIBLE FOR In this role, you'll: - Resolve Technical Issues: Investigate and resolve advanced customer issues across Postgres, Auth, RLS, Storage, Realtime, Edge Functions, and client libraries. - Provide Consultative Advice: Offer proactive guidance to optimize workloads, avoid common pitfalls, and provide tailored advice to our most advanced users. - Bridge the Gap to Engineering: Reproduce bugs, isolate root causes, propose workarounds, and escalate to engineering with solid reproduction steps. - Investigate Deeply: Ask smart, targeted questions that turn incomplete reports into actionable cases. - Communicate Effectively: Communicate clearly and empathetically with users of all levels-especially during high-impact or time-sensitive situations. - Drive Product Improvement: Spot patterns across tickets and recommend improvements to documentation, tooling, and the product itself. - Mentor and Lead: Mentor junior team members and

Database Engineer, Postgres Remote, East Coast USA Joining Collibra's Product & Database Reliability Team We are seeking an experienced and skilled Database Engineer to join our dynamic team. The ideal candidate will be responsible for ensuring the optimal performance, scalability, and reliability of our database systems. This role involves collaborating with cross-functional teams, providing technical leadership, and implementing best practices to enhance the overall efficiency of our database infrastructure. Database Engineers at Collibra are responsible for - Performance Optimization: Analyze and optimize database performance through monitoring, tuning, and query optimization to ensure optimal response times and efficient resource utilization. Collaborate with our engineering teams to brainstorm, assist with resolution. - Right Sizing: Conduct capacity planning and forecasting to anticipate future database requirements and ensure scalability. Automate a way to do that sizing with scalability. - Troubleshooting and Problem Resolution: Diagnose and resolve complex database issues, including performance bottlenecks, scalability problems, and data inconsistencies. Analyze observability data to identify patterns, trends, and potential performance bottlenecks. - Collaboration: Work closely with developers, system administrators, and other stakeholders to understand application requirements and provide guidance on database-related concerns. - Automation: Implement automation for repetitive tasks, and performance monitoring to streamline processes and enhance efficiency. Develop and maintain automated solutions for continuous workload analysis at scale, allowing for proactive identification of potential issues. - Best practices & documentation: Best practices for developing the overall database architecture, database configurations, processes, and troubleshooting procedures. You have - A bachelor's degree in Computer Science, Information Technology, or

Platform Database Engineer (MONGO DB) Colombia - Remote Platform Database Engineer Location: Colombia - Remote About the Role The Platform Database Engineer is responsible for designing, deploying, administering, and optimizing MongoDB (Atlas and on‑premise) within a large-scale, cloud-based enterprise ecosystem. This role blends deep database engineering expertise with SRE principles to ensure performance, reliability, scalability, and automation across mission‑critical data platforms. What You Will Do - Architect, implement, and maintain MongoDB Atlas and non‑Atlas environments, ensuring high availability, scalability, and security. - Design and enforce resiliency and disaster recovery strategies, including backup, restore, and multi‑region failover. - Optimize database performance and query execution to support application development teams throughout all SDLC phases. - Develop and manage infrastructure‑as‑code solutions (Terraform, GitOps) for database provisioning and automation. - Implement and refine observability and monitoring solutions using Dynatrace, CloudWatch, and MongoDB native telemetry. - Manage access control, auditing, and encryption to meet enterprise security and compliance requirements. - Collaborate closely with application, DevOps, and platform teams to continuously improve reliability, performance, and operational excellence. - Lead incident response for database‑related issues, drive root cause analysis, and implement corrective and preventative measures. - Mentor and guide technical teams, contributing to documentation, standards, and design reviews. Minimum Qualifications - 4+ years of experience as a MongoDB DBA, including 4+ years administering MongoDB Atlas. - Strong experience with the AWS ecosystem (EC2, EKS, CloudWatch, IAM, KMS, VPC, Lambda). - Proficiency in Terraform, GitOps, CI/CD automation, and containerized workloads (EKS/Kubernetes). - Experience with Dynatrace, Prometheus, or equivalent

Sr PostgreSQL DBA Ashburn, VA posted: Posted 21 Days Ago

PostgreSQL Database Administrator Ashburn, VA posted: Posted 30+ Days Ago

Software Engineer, Databases (Technical Leadership) Bellevue, WA; Menlo Park, CA Meta is seeking a distinguished Software Engineer specializing in database internals to drive the technical direction of our MySQL infrastructure that powers Meta's family of products and platforms. In this role, you will architect and evolve critical database systems within our MySQL team - including our custom storage layer (MyRocks) and replication layer (MyRAFT) - that underpin billions of user interactions daily. You will identify and solve the hardest database-level challenges across the organization, define multi-year technical strategy to adapt our relational database systems to support Meta's AI needs, and serve as a force multiplier for engineering teams through deep database expertise, AI-native workflows, and cross-functional leadership. Responsibilities: - Define and drive the long-term technical vision and architecture for Meta's MySQL infrastructure, including the MyRocks storage engine and MyRAFT replication layer - Architect database system enhancements to support Meta's evolving AI workloads and large-scale data requirements - Identify and resolve the most complex database-level performance, reliability, and correctness challenges that span storage, replication, query execution, and transaction processing - Lead the design and implementation of critical database internals - including storage engine optimizations, replication protocols, query planning, and transaction management - ensuring correctness, efficiency, and long-term maintainability - Establish extensible technical foundations, coding standards, and architectural patterns that improve consistency and velocity across database engineering teams - Develop and operationalize testing frameworks, verification methodologies, and data integrity checks that prevent database bugs and reliability regressions at scale - Leverage AI

Senior PostgreSQL Database Engineer, RDS Dallas, Texas, USA Do you want to work in Relational Database Service (RDS) for PostgreSQL which is one of the fastest growing AWS businesses? PostgreSQL is the only DBMS that has been named the database of the year 3 times by DB-Engines DBMS of the year. It is one of the fastest growing databases in the industry where related expertise and experience is highly sought after. Our team's (the Database Engineering Team for RDS and Aurora PostgreSQL) mission is to build, improve and manage PostgreSQL as a fully managed database service. This is not a typical DBA or DBE role where you manage databases for specific customers. Instead, you are an integral part of the core database engineering team as you will work closely with developers and product and program managers. You will engage and contribute in the full product cycle: feature brainstorming, design, implementation, validation and customer escalation. AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services 10031 Key job responsibilities - You work closely with our customers to understand

Contract: Machine Learning Operations Specialist Remote: Argentina; Brazil; Chile; Colombia; Costa Rica; Mexico Why You'll Love This Role: We're looking for an experienced Machine Learning Engineer to join the ML team at Newsela. This team works on projects ranging from classical Machine Learning to AI / Generative pipelines. This is a hands-on role. You'll work closely with ML/AI, data and site reliability engineers to take models from prototype to production, build robust data pipelines, and keep our services running smoothly as we continue to scale. What You'll Be Doing: - Design and maintain CI/CD pipelines for ML model training, packaging, and deployment across our microservices. - Manage containerized services on AWS ECS, optimizing for cost, latency, and availability. - Automate infrastructure provisioning and service configuration with Terraform. - Work to maintain and scale services that make use of third party LLM providers. - Build and improve data pipelines that feed models from BigQuery, S3, and DynamoDB into training and inference workflows. - Instrument services with observability tooling (Datadog, OpenTelemetry, Langfuse) and establish SLOs for model-serving endpoints. - Collaborate with ML engineers to productionize new models using BentoML, FastAPI, and container-based serving. About You: - 2-3 years in ML Ops supporting ML/AI features, systems and workflows with 3-4 years prior experience in DevOps, CloudOps or SRE. - Strong proficiency in Python. - Hands-on experience with Docker containerization and container orchestration. - Solid understanding of CI/CD for ML workflows in an enterprise production environment. - Experience with Infrastructure as Code, preferably Terraform.

Platform Database Engineer Argentina - Remote Platform Database Engineer Location: Colombia - Remote About the Role The Platform Database Engineer is responsible for designing, deploying, administering, and optimizing MongoDB (Atlas and on‑premise) within a large-scale, cloud-based enterprise ecosystem. This role blends deep database engineering expertise with SRE principles to ensure performance, reliability, scalability, and automation across mission‑critical data platforms. What You Will Do - Architect, implement, and maintain MongoDB Atlas and non‑Atlas environments, ensuring high availability, scalability, and security. - Design and enforce resiliency and disaster recovery strategies, including backup, restore, and multi‑region failover. - Optimize database performance and query execution to support application development teams throughout all SDLC phases. - Develop and manage infrastructure‑as‑code solutions (Terraform, GitOps) for database provisioning and automation. - Implement and refine observability and monitoring solutions using Dynatrace, CloudWatch, and MongoDB native telemetry. - Manage access control, auditing, and encryption to meet enterprise security and compliance requirements. - Collaborate closely with application, DevOps, and platform teams to continuously improve reliability, performance, and operational excellence. - Lead incident response for database‑related issues, drive root cause analysis, and implement corrective and preventative measures. - Mentor and guide technical teams, contributing to documentation, standards, and design reviews. Minimum Qualifications - 4+ years of experience as a MongoDB DBA, including 4+ years administering MongoDB Atlas. - Strong experience with the AWS ecosystem (EC2, EKS, CloudWatch, IAM, KMS, VPC, Lambda). - Proficiency in Terraform, GitOps, CI/CD automation, and containerized workloads (EKS/Kubernetes). - Experience with Dynatrace, Prometheus, or equivalent observability platforms.