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Senior Software Engineer Observability Jobs

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E
Elastic
📍 United States• $133.1K – $210.6K/yr
3mo ago

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is the Role We are on the lookout for a Senior Software Engineer to join our Elasticsearch team and focus on ensuring that the shared platform functionalities of Elasticsearch are easy to use, performant, maintainable, and secure. The team’s mission is to create foundational infrastructure and shared functionality that enables engineers to develop, extend, and support Elasticsearch. The team owns common functionality such as services, settings, and scripting, and makes Elasticsearch extensible through plugins or the Painless scripting language. The team also makes Elasticsearch observable by providing logging and telemetry information. We also own the orchestration of Elasticsearch in serverless, the CI/CD workflows, and enable Elasticsearch developers to deliver Elasticsearch to customers - serverless, cloud, and on-premise alike. You will be a strong individual contributor on the team, but you will also contribute to and lead cross-team projects. We need someone who has great design skills, who can work at a low level of abstraction but can equally drive and communicate technical concepts across a variety of collaborators. What You Will Be Doing Contributing to large, impactful projects that evolve the core infrastructure that underpins Elasticsearch. Making Elasticsearch developers more productive by identifying and developing opportuniti

javakubernetesai
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Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role: We are on the lookout for a Senior Software Engineer to join our Elasticsearch - Distributed Systems team and focus on how Elasticsearch provides scale, performance, and resilience, especially in the context of our Serverless offering. You will be tackling deep distributed systems challenges in how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and managed across nodes. What You Will Be Doing: Leveraging your distributed systems expertise to build, and operate core pieces of our next-generation Serverless Elasticsearch offering, directly impacting the experience of customers worldwide. Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines. Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole. Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today. Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions. Supporting our support engineers with the harder problems. Owning operational investigations end-to-end, until performance or stability issues are successfully resolved. What You Bring:

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role: We are on the lookout for a Senior Software Engineer to join our Elasticsearch - Distributed Systems team and focus on how Elasticsearch provides scale, performance, and resilience, especially in the context of our Serverless offering. You will be tackling deep distributed systems challenges in how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and managed across nodes. What You Will Be Doing: Leveraging your distributed systems expertise to build, and operate core pieces of our next-generation Serverless Elasticsearch offering, directly impacting the experience of customers worldwide. Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines. Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole. Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today. Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions. Supporting our support engineers with the harder problems. Owning operational investigations end-to-end, until performance or stability issues are successfully resolved. What You Bring:

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role: We are on the lookout for a Senior Software Engineer to join our Elasticsearch - Distributed Systems team and focus on how Elasticsearch provides scale, performance, and resilience, especially in the context of our Serverless offering. You will be tackling deep distributed systems challenges in how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and managed across nodes. What You Will Be Doing: Leveraging your distributed systems expertise to build, and operate core pieces of our next-generation Serverless Elasticsearch offering, directly impacting the experience of customers worldwide. Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines. Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole. Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today. Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions. Supporting our support engineers with the harder problems. Owning operational investigations end-to-end, until performance or stability issues are successfully resolved. What You Bring:

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role: We are on the lookout for a Senior Software Engineer to join our Elasticsearch - Distributed Systems team and focus on how Elasticsearch provides scale, performance, and resilience, especially in the context of our Serverless offering. You will be tackling deep distributed systems challenges in how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and managed across nodes. What You Will Be Doing: Leveraging your distributed systems expertise to build, and operate core pieces of our next-generation Serverless Elasticsearch offering, directly impacting the experience of customers worldwide. Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines. Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole. Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today. Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions. Supporting our support engineers with the harder problems. Owning operational investigations end-to-end, until performance or stability issues are successfully resolved. What You Bring:

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role: We are on the lookout for a Senior Software Engineer to join our Elasticsearch - Distributed Systems team and focus on how Elasticsearch provides scale, performance, and resilience, especially in the context of our Serverless offering. You will be tackling deep distributed systems challenges in how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and managed across nodes. What You Will Be Doing: Leveraging your distributed systems expertise to build, and operate core pieces of our next-generation Serverless Elasticsearch offering, directly impacting the experience of customers worldwide. Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines. Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole. Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today. Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions. Supporting our support engineers with the harder problems. Owning operational investigations end-to-end, until performance or stability issues are successfully resolved. What You Bring:

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role: We are on the lookout for a Senior Software Engineer to join our Elasticsearch - Distributed Systems team and focus on how Elasticsearch provides scale, performance, and resilience, especially in the context of our Serverless offering. You will be tackling deep distributed systems challenges in how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and managed across nodes. What You Will Be Doing: Leveraging your distributed systems expertise to build, and operate core pieces of our next-generation Serverless Elasticsearch offering, directly impacting the experience of customers worldwide. Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines. Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole. Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today. Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions. Supporting our support engineers with the harder problems. Owning operational investigations end-to-end, until performance or stability issues are successfully resolved. What You Bring:

D
Databricks
📍 San Francisco• $159.9K – $219.9K/yr
6mo ago

GAQ127R41 Location: San Francisco, CA (Hybrid) About the Role At Databricks Information Technology, we are a product-led organization transforming the way we work, from how easy it is to use our IT services to the applications we develop that help us scale seamlessly in the face of incredible growth. As a Senior Software Engineer (Infrastructure) , you will be a core technical contributor on the IT Infrastructure team, owning and driving the evolution of our core infrastructure and observability platforms. This role requires a strong software engineering mindset, deep technical breadth across SRE and infrastructure worlds, and the ability to deliver high-quality, scalable solutions for currently "immature" system problems. You will be responsible for building resilient, scalable, and automated infrastructure that empowers our development teams. As a senior member of the team, you will bridge the gap between software engineering and systems architecture, ensuring our AWS environment is cost-optimized, secure, and highly available. The Impact You Will Have Architect and Automate: Design and deploy production-grade infrastructure on AWS using Terraform or Pulumi. Orchestration: Manage and scale containerized workloads using AKS (Azure Kubernetes Service) or EKS, focusing on cluster security and resource efficiency. CI/CD Excellence: Architect robust deployment pipelines using GitHub Actions , managing both GitHub-hosted and self-hosted runners for specialized build requirements. Drive "Observable by Default" Frameworks: Create underlying infrastructure to ensure new internal applications are secure and have logging and metrics enabled by default Tooling, Scripting & AI : Build internal CLI tools,AI plugins and automation scripts to streamline developer workflows and enhance operational efficiency Partner Cross-Functionally: Collaborate with stakeholders across Security, Engineering, Infrastructure, and Support to deliver impactful projects with real business

pythonawsazure
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E
7mo ago

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role: We are on the lookout for a Senior Software Engineer to join our Elasticsearch - Distributed Systems team and focus on how Elasticsearch provides scale, performance, and resilience, especially in the context of our Serverless offering. You will be tackling deep distributed systems challenges in how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and managed across nodes. What You Will Be Doing: Leveraging your distributed systems expertise to build, and operate core pieces of our next-generation Serverless Elasticsearch offering, directly impacting the experience of customers worldwide. Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines. Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole. Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today. Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions. Supporting our support engineers with the harder problems. Owning operational investigations end-to-end, until performance or stability issues are successfully resolved. What You Bring:

C
Coinbase
📍 United States• Full-time• Remote• $218K – $256.5K/yr
4mo ago

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Staff Software Engineer, Core AI Infrastructure You'll join a high-performing team of engineers driving AI transformation at Coinbase as a Senior Software Engineer on the IT Operations team within ESTO. This team builds custom products through full-stack engineering and scales the infrastructure powering Coinbase's AI products, with direct exposure to senior leadership in a fast-paced, incubator-style environment. You'll own the reliability and automation of critical AI infrastructure, ensuring our systems are resilient, observable, and secure at scale. What you'll do: Own end-to-end delivery of AI products by building production-grade distributed systems, including serving infrastructure, data pipelines, and deployment orchestration across the full stack throughout the SDLC. Drive platform adoption by designing clean APIs, abstractions, and developer-facing tooling that enable product teams to integrate AI capabilities without bespoke infrastructure requests. Partner with engineering and product leadership across Platform and other product groups to align infrastructure requirements, resolve cross-team technical dependencies, and define shared platform contracts. Shape engineering standards and technical culture by establishing architectural patterns, mentoring engineers, and raising the bar on code quality, observability, and operational excellence. Build

REMOTEpythonawsdocker
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O
2mo ago

About the Team The Monetization Data Systems team builds the trusted data and product systems that power how the company develops, measures, and improves monetization products. We bring together product usage, pricing, billing, ads, payments, and financial data to help Product, Engineering, Finance, and GTM teams make better decisions and deliver reliable customer experiences. We work at the intersection of data engineering, product engineering, platform engineering, Finance, and GTM. Our goal is to turn complex monetization and financial data into accurate, explainable, and timely data products while building systems that scale with the growth and complexity of the business. About the Role We are looking for a Senior Software Engineer to design and build the next generation of our monetization data platform. You will own high-impact platform systems end to end, from architecture and implementation through testing, deployment, observability, and ongoing operation. This is a hands-on role for an engineer who enjoys solving ambiguous customer and business problems, designing durable systems, and partnering closely with Product, Data, Finance, Accounting, and GTM. You will help define technical direction, raise the engineering bar, and turn monetization opportunities into reliable, scalable product experiences and platform capabilities. In this role, you will: Design, improve, and operate reliable, scalable backend services that power pricing, billing, ads, payments, entitlements, and other monetization platform capabilities. Own the architecture and implementation of critical workflows relevant to monetization data, data contracts, and integrations across product and business systems. Establish strong guarantees for correctness, availability, security, performance, reconciliation, and auditability across business-critical systems. Build reusable platform capabilities and developer tools that enable product teams to launch, measure, and iterate on monetization products

pythonjavaaws
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Opportunity Overview: This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events. We’re seeking a Senior Software Engineer to join our Data Platform team and take ownership of designing and delivering large-scale, reliable, and governed data pipelines that power analytics, operations, and clinical intelligence across Cohere Health. This role is ideal for an engineer who thrives on solving complex data challenges, mentoring others, and raising engineering standards while contributing to scalable and sustainable platform growth. As a Senior Software Engineer of the data platform team, you’ll operate across the end-to-end data lifecycle—from ingestion to transformation to integration—driving solutions that align with architectural best practices, governance needs, and business outcomes. You’ll partner closely with analytics engineers, architects, and product stakeholders to ensure that data products are performant, compliant, and trustworthy. What you’ll do: Lead the design and implementation of complex data pipelines and infrastructure across multiple domains Mentor junior engineers, sharing expertise and raising team-wide engineering standards Implement and enforce data quality, schema validation, and observability practices to ensure trustworthy outputs Contribute to architecture discussions and tool evaluation, helping to shape platform scalability and governance alignment Write clean, maintainable, and testable code in Python and SQL, following best practices in version control, CI/CD, and documentation Optimize and monitor production workflows using tools such as Airflow, dbt, Athena, EMR, Kafka, and Iceberg/Parquet Collaborate with cross-functional stakeholders (analytics, product, compliance) to ensure technical solutions meet business needs Participate in on-call rotations to support critical platform jobs and reduce operational disruptions Champion a culture of exce

pythonsqlaws
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Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Product Security Data Platforms team is a newly established engineering team within Stripe Security. Our mission is to build the foundational infrastructure that provides our users with unprecedented visibility into the security posture of their Stripe integration. While Stripe is renowned for industry-leading payment protection, we are expanding our focus to provide a comprehensive security telemetry platform that helps businesses protect their entire digital ecosystem on Stripe. As a founding member of this team, you'll architect a large-scale customer-facing security data pipeline and presentation layer. Much like modern security observability platforms and data lakes that have transformed cloud infrastructure, we're building an API-first service that transforms massive streams of behavioral data into actionable security intelligence. This team operates at the intersection of high-throughput data engineering and cybersecurity, creating the systems that will allow the world’s most sophisticated companies to monitor, detect, and respond to threats in real time. What you’ll do As a Senior Software Engineer on this founding team, you'll lead the technical design and implementation of our core security data pipelines. You'll define how we capture security signals, process them at scale, and deliver them to our users through robust, developer-friendly interfaces. If you have security domain knowledge, you'll have opportunities to help shape

typescriptjavareact
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Position Summary SingleStore engineers build the real-time data platform that enables some of the world's most demanding applications. Our cloud-native database architecture enables high-performance transactional and analytical workloads at scale. As a Senior Software Engineer on the Managed Service (Helios) team, you will build and own release-defining projects at the intersection of distributed systems, cloud infrastructure, networking, and database technology. Helios runs thousands of SingleStore clusters across AWS, Azure, and GCP — autonomously deployed, scaled, secured, and healed on top of Kubernetes — operating at the frontier of multi-cloud, multi-region, multi-tenant, low-latency, always-on systems. You will work across the control plane, the data plane, the operator, networking, storage, and the customer portal, with true end-to-end ownership. Note: This role is open across multiple levels. Final leveling (Senior, Staff, or Principal) will be determined based on experience, scope of impact, and demonstrated technical leadership throughout the interview process. What you’ll do: Lead complex, cross-functional technical initiatives from conception to deployment. Work closely with product managers, designers, customers, and other engineers to ensure we deliver a high-quality experience. Drive the team's engineering standards, championing best practices in system design, code quality, testing, observability, and CI/CD pipelines to ensure we scale reliably. Solve complex, mission-critical system problems with solutions that are scalable, maintainable, and resilient. Mentor and guide more junior team members, coordinate with other stakeholders and contribute to process improvements, raising the technical bar across the team. Communicate complex technical decisions and trade-offs clearly, including their impact on system performance, reliability, and business outcomes. Partner cross-functionally with teams including Sales, Marketing, and G&A to support produc

typescriptreactsql
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L
10 days ago

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the role: We're looking for a Senior Fullstack Engineer for our commercial product LangSmith, an observability and evals platform. In this role, you'll have the opportunity to shape the technical direction of our platform while working closely with enterprise customers, developer end-users and internal stakeholders. What You Will Do: Lead the technical architecture and implementation of key product features for LangSmith, working across our entire Go, Python, and Typescript stack. Collaborate closely with product and design teams to iterate on new features. Mentor and guide more junior members of the team. Drive aggressive project timelines while ensuring high engineeri

typescriptpythonreact
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