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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Infrastructure Engineer, Observe by Snowflake - **Company:** Snowflake Inc. - **Location:** Menlo Park, CA, United States - **Experience:** Experienced - **Salary:** $160,000.0 - $230,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Apache HTTP Server, Microsoft Azure, Cloud Computing, Cloud Engineering, Computer Programming, DevOps, Distributed Systems, Graph Database, Python (Programming Language), Systems Development Life Cycle, Reliability Engineering, Ansible, Google Cloud, System Availability, Snowflake, Reliability of Systems, Data Lakes, Kubernetes, Infrastructure Automation Frameworks, Terraform - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=a058390bba109e20 ## About the Role * 2+ years of experience in Infrastructure Engineering, Site Reliability Engineering (SRE), DevOps, or related roles. * Experience operating container orchestration platforms such as Kubernetes * Hands-on experience managing cloud infrastructure using Infrastructure-as-Code tools such as Terraform, Ansible, or similar. * Strong programming skills in Go, Python, or similar languages, with a focus on automation and systems development. * Experience supporting production systems at scale, with a focus on reliability and operational excellence. * Strong problem-solving skills and the ability to balance short-term operational needs with long-term infrastructure design. * Experience with AWS, GCP, and Azure NICE TO HAVE * Experience operating large-scale distributed systems. * Familiarity with observability platforms, telemetry pipelines, or monitoring infrastructure. * Experience improving developer platform tooling or internal infrastructure platforms. * Experience working in high-growth or rapidly evolving engineering environments. ## Description At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Observe by Snowflake is an AI-powered observability platform built on the Snowflake Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lake using open formats like Apache Iceberg, delivering deep correlation and long-term analytics at dramatically lower cost. A dynamic Knowledge Graph and chat-based AI SRE provide rich context and guided workflows so teams can move from detection to root cause and resolution significantly faster. The Infrastructure team at Observe by Snowflake is responsible for building, scaling, and operating the development and production environments that power our observability platform. We are a small, highly collaborative team with a broad scope, focused on delivering reliable infrastructure while continuously improving the systems that support our engineers and customers. WHAT YOU'LL DO * Design, build, and operate scalable cloud infrastructure in AWS supporting a high-scale observability platform. * Improve system reliability, performance, and operational visibility across development and production environments. * Develop and maintain CI/CD pipelines and internal tooling to improve developer productivity and deployment safety. * Identify and mitigate security risks, and help maintain internal security standards and compliance requirements. * Build infrastructure that supports high availability, scalability, and operational resilience * Participate in an on-call rotation, contributing to incident response and post-incident improvements. * Partner closely with engineering teams to ensure infrastructure supports evolving product and platform needs. ## Related Videos - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Dev & Test in the Cloud? 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