Observe.ai jobs

Support Engineer - China (Alibaba Cloud Strategic Accounts) 支持工程师 - 中国（阿里云战略客户） Mainland China (remote) About ClickHouse Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company's sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We're on a mission to transform how companies use data. Come be a part of our journey! SUPPORT ENGINEER - CHINA (ALIBABA CLOUD STRATEGIC ACCOUNTS) Location: Mainland China (remote) Department: Core Team / Support Engineering About ClickHouse Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company's sustained, accelerating momentum was recently validated by a $400M Series D financing round. We're on a mission to transform how companies use data. Come be a part of our journey! We are continuing to grow our global Support organization, and we

Measurement Scientist, AI Evaluation Platform Seattle, United States of America Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or App Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. Our team, part of Apple Services Engineering, is building the scientific foundation for how AI systems are evaluated across Apple. We are seeking a Measurement Scientist to ensure that our evaluation methods are not just sophisticated, but scientifically valid and trustworthy . In this role, you will apply psychometric theory , validity frameworks, and statistical rigor to establish measurement standards for AI evaluation - ensuring that when we claim an evaluator measures "helpfulness" or "safety ," it actually does. We are looking for individuals across a range of experience levels. This role uniquely bridges measurement science and cutting-edge AI evaluation. You will develop methods for validating LLM-as-judge evaluators, automated benchmarks, and human evaluations. And you will create statistical tools that help engineers trust their evaluation results. You will work

Site Reliability Engineer Toronto Requisition ID: 259528 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. We're looking for an SRE with deep experience in production observability and incident response to raise the reliability and transparency of our customer-facing services. You will own the end-to-end observability stack across Dynatrace, Splunk, Power BI, and Google Cloud (GCP) Monitoring, drive proactive detection and reduction of toil, and lead major incident response. This role focuses on operational excellence and service health and NOT platform engineering or DevOps provisioning. Is this role right for you? In this role you will: Design and maintain end-to-end monitoring for critical services using Dynatrace (APM, Real User Monitoring, Synthetic, Davis AI, Smartscape) and GCP Cloud Monitoring (metrics, alerting policies, SLOs/SLIs, uptime checks, dashboards). Build service maps, dependency models, and problem detection in Dynatrace; tune Davis AI problem rules and reduce alert noise through thresholds, baselining, and tagging. Implement SLOs/SLIs with error budgets; continuously review burn rates and align alerting to customer impact. Partner with application teams to instrument code paths (e.g., Dynatrace OneAgent), trace distributed transactions, and validate golden signals (latency, traffic, errors, saturation). Create and optimize Splunk data models, indexes, sourcetypes, ingestion pipelines, and SPL searches; build actionable dashboards for NO

Senior Manager, Site Reliability Engineering - Infrastructure Platform San Francisco, California Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Infrastructure Platform and Shared Services Team Okta authenticates, authorizes and provisions millions of users a day. The service is hosted on Amazon Web Services (AWS) across multiple availability zones and geographically separated regions. The service is designed for high throughput and 99.999 availability. We're looking for a technical leader to help us continue to scale the service with great people and reliable, cost-effective, and efficient infrastructure, processes, and tooling. As the Sr. Manager of Infrastructure Platform and Shared Services, you will oversee multiple teams focused on Edge networking, K8s platform, Observability, automation platform & tooling. What you'll be doing - Lead the Infra platform and shared services org and various initiatives across SRE & Infrastructure organization. - Build a world-class observability platform and monitoring capabilities enabled with self-service - Accelerate the velocity of SRE and product engineering by developing robust platforms, powerful tooling, and intuitive self-service capabilities. - Own the design and operation

Consultative AI Sales Professional BEL - ANY CITY posted: Posted 30+ Days Ago

Developer Support Engineer London, UK, United Kingdom, San Francisco, Singapore About the company Braintrust is the AI observability platform. By connecting evals and observability in one workflow, Braintrust gives builders the visibility to understand how AI behaves in production and the tools to improve it. Teams at Notion, Stripe, Zapier, Vercel, and Ramp use Braintrust to compare models, test prompts, and catch regressions - turning production data into better AI with every release. About the Role At Braintrust, surprisingly good developer support is one of our most important strategic advantages. Our customers are developers building LLM-powered applications, and they move fast. We win by helping them move faster. We're looking for Developer Support Engineers - both mid-level and senior - who are obsessed with helping developers overcome challenging technical blockers to achieve their goals. You'll troubleshoot issues, identify workarounds, ship fixes, and document your findings to help future developers move faster. This role blends technical problem solving, developer empathy, and tight collaboration with Engineering, Solutions, and Product. If you love solving complex problems, explaining technical concepts clearly, and making developers' lives easier, we'd love to talk with you. Our preferred locations are in the San Francisco, New York, London, or Singapore metro areas for hybrid in person collaboration, but can be flexible for experienced candidates open to working matching timezone hours. What You'll Do - Diagnose, troubleshoot, and resolve API and SDK use issues alongside customers codebases (Python or TypeScript). - Reproduce customer-reported bugs, identify likely causes in our codebase,

Software Engineer, Developer Experience San Francisco, United States, New York City, Seattle About the company Braintrust is the AI observability platform. By connecting evals and observability in one workflow, Braintrust gives builders the visibility to understand how AI behaves in production and the tools to improve it. Teams at Notion, Stripe, Zapier, Vercel, and Ramp use Braintrust to compare models, test prompts, and catch regressions - turning production data into better AI with every release. About the role We're looking for an Engineer who loves building tools for other engineers. You'll own the systems we touch every day - local dev, CI, and the deploy pipeline - and make shipping to production fast, safe, and reliable. The work compounds across every engineer at the company and is very important to our whole team What you'll do - Work directly with the engineering team to find friction and remove it - help them be nimble, happy and productive - Drive CI runtime down: parallelization, caching, sharding, test selection, and killing flakes - Own the deploy pipeline: progressive rollouts, fast rollbacks, and clear signals when something is wrong - Own the our build toolchain - bundlers, compilers, monorepo tooling - and keep cold builds and rebuilds fast as the codebase and archictecture grows - Harden our supply chain: SBOMs, signed artifacts, locked-down GitHub Actions, secret hygiene, and provenance for every build - Build CLIs, GitHub Apps, and bots that make the right thing the easy thing Ideal candidate credentials - 5+ years

AI Research Scientist/Engineer (f/m/d) Bochum Position description At Sonar, we are seeking an innovative Machine Learning Scientist to join our Data & AI team and pioneer the next generation of our code analysis engine. You will be at the forefront of applying cutting-edge AI and Large Language Model (LLM) techniques to the complex domain of source code. Your work will directly shape our products, pushing the boundaries of static analysis to help millions of developers write better, more secure code. If you are driven to solve real-world problems by turning state-of-the-art research into practical, high-impact solutions, this is the role for you. Position description At Sonar, we are seeking an innovative Machine Learning Scientist to join our Data & AI team and pioneer the next generation of our code analysis engine. You will be at the forefront of applying cutting-edge AI and Large Language Model (LLM) techniques to the complex domain of source code. Your work will directly shape our products, pushing the boundaries of static analysis to help millions of developers write better, more secure code. If you are driven to solve real-world problems by turning state-of-the-art research into practical, high-impact solutions, this is the role for you. What you will do - Spearhead Research & Innovation: Stay on the cutting edge of ML, Deep Learning, and LLMs, specifically their application to the Software Development Lifecycle (SDLC), and identify novel opportunities to enhance our products. - Develop Advanced AI Models: Design, prototype, and validate novel ML models that identify

Senior Software Engineer - Observability Real User Monitoring (RUM) | US | Remote United States (Remote) Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers - including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce - trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we're backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We're scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that's okay. If this role excites you, we'd love you to raise your hand for what could be a truly career-defining opportunity. This is a full-time remote opportunity. We are considering candidates from US and Canada only. The

AI Software Engineer Seattle (WA) posted:

AI Governance Manager London, United Kingdom posted: Posted 17 Days Ago

Principal Architect - Cloud and Observability Work at Home, Illinois, United States Exciting opportunity for a Principal Architect to lead cloud and observability architecture at CVS Health. Drive enterprise observability, hybrid cloud, and multi-cloud standards, mentor teams, and shape the future of healthcare technology. Join us to innovate, optimize, and ensure reliable, scalable systems across private and on-prem environments.

Sr. Site Reliability Engineer San Francisco, CA Your role in our mission You will be a senior technical contributor on the SRE team, responsible for the reliability, scalability, and security of Prosper's Cloud Platform portfolio. This is as much of a platform engineering role as it is SRE role - you will maintain the applications that run on our platform, drive alignment to platform standards, and ensure services stay current within the framework and dependency realm.We are building an agentic AI-first operations model where AI agents handle investigations, deployments, audits, and optimizations - and you will be at the center of designing and governing that system. You will share the ownership of application-layer reliability, CI/CD pipelines, and observability while simultaneously building the skills, rules, and guardrails that allow AI agents to operate safely alongside human engineers. How you'll make an impact Skills that will help you thrive Extra credit Resources to help you Prosper Interview Process

Applied AI, Forward Deployed Machine Learning Engineer - Palo Alto Palo Alto About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. About The Job Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. The Applied AI Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations. In this role, you'll manage daily customer relations involving multiple stakeholders (CEO/CTO, data scientists, and

Principal UX Designer, AWS Security, Search, Observability & Governance Santa Clara, California, USA We are looking for a Principal UX Designer to define and own the end-to-end design strategy for AWS's security, observability, and agentic AI product portfolio. This is a high-impact IC role with significant organizational influence. You will partner directly with VP-level Product and Engineering leaders to shape products used by millions of security practitioners worldwide. The ideal candidate combines elite visual craft with deep technical fluency, operates as an "architect of systemic solutions" rather than a feature designer, and has a track record of shipping design systems that scale across complex B2B enterprise environments. Key job responsibilities 1. Define the long-term UX vision and roadmap for AWS Security products (GuardDuty, Security Hub, Detective, Inspector, IAM) in partnership with senior product and engineering leadership 2. Architect and govern a unified design system across the security portfolio, ensuring consistency, accessibility, and scalability for high-density data interfaces 3. Lead the design of agentic AI interfaces - including intent-driven system actions, guided investigations, and human-in-the-loop approval workflows for automated security operations 4. Drive "design-as-code" practices: build production-quality prototypes using modern stacks (React, TypeScript) to collapse design-engineering feedback loops 5. Establish UX quality benchmarks and lead critique sessions across the organization, elevating design maturity and craft standards globally 6. Mentor and develop a team of senior designers, providing technical guidance and career development 7. Represent Design in executive reviews (VP, SVP) with data-driven recommendations and clear strategic narratives 8. Navigate complex stakeholder

AI Vision Engineer Chennai, India posted: Posted 30+ Days Ago

Observability Engineer New York, NY

Agentic AI Engineer USA VA Falls Church posted: Posted 30+ Days Ago

AI Developer Helsinki posted: Posted 24 Days Ago

Observability Analyst IN - India - Bangalore posted: Posted 10 Days Ago

Observability Specialist Hyderabad posted: Posted 30+ Days Ago

AI Research Engineer North America | Remote BUILD A SAFER WORLD. TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure. The AI Research Engineer will join our AI Engineering team, a group focused on advancing model selection, fine-tuning, and evaluation strategies for production-scale AI systems. As a senior individual contributor, this person will lead technical efforts to push the boundaries of model performance and orchestration, directly impacting the competitiveness of our AI Engineering platform. The impact you will have: - Design, build, and own a production-grade evaluation system that drives measurable improvements in model accuracy and latency. - Lead experimentation, fine-tuning, and feedback-based evaluation loops for continuous model optimization. - Advance the orchestration of AI/ML systems, ensuring scalable, resilient, and high-impact deployments. - Elevate technical standards through engineering craftsmanship, mentorship, and leadership as a senior IC. What we're looking for: - Advanced programming expertise in Python and SQL, with strong system design skills. - Deep experience deploying machine learning/deep learning models in production (LLM/GenAI strongly preferred). - Strong foundation in experimentation frameworks, evaluation metrics, and ML Ops practices. - Proven ability to own critical systems end-to-end and collaborate effectively with cross-functional partners. About the Team: - The AI Engineering team operates with a high level of collaboration and interdependence,

Senior AI/ML Engineer Amsterdam, Netherlands posted: Posted 30+ Days Ago

Full Stack ML Efficiency & Observability US