Чёткая зона ответственности для senior-инженера, современный инфраструктурный стек и конкретные задачи по миграции делают вакансию сильной; стоит учесть небольшую команду и дежурства.
Senior Infrastructure Engineer (Kubernetes/AWS): Designing, operating, and scaling secure infrastructure for an enterprise observability platform with an accent on Kubernetes, cloud infrastructure, GitOps delivery, and operational resilience. Focus on migrating ingress and deployment systems, building multi-tenant environments, automating infrastructure upgrades, and improving incident response and production security.
Location: Menlo Park, California, United States
Salary: $160K–$210K annually
Company
Snowflake provides the Snowflake AI Data Cloud; the role supports Observe by Snowflake, an AI-powered observability platform acquired by Snowflake in February 2026.
What you will do
Design, build, operate, and scale secure AWS and Kubernetes infrastructure across shared and dedicated customer environments.
Integrate Observe infrastructure with Snowflake platforms, including CI, source control, and container platform migrations.
Own CI/CD pipelines, developer tooling, and platform automation while moving delivery toward GitOps and independent service deployments.
Improve access controls, secrets management, production security, high availability, fault tolerance, and operational resilience with Security and Engineering teams.
Participate in on-call, incident response, root cause analysis, and post-incident improvements.
Lead ambiguous infrastructure projects from scope through delivery and mentor newer engineers through design and code reviews.
Requirements
5+ years of experience in Infrastructure Engineering, Site Reliability Engineering, DevOps, or related roles.
Experience designing and operating production systems at scale with deep ownership of reliability and operational excellence.
Strong Kubernetes experience, including architectural decision-making and operational tuning.
Hands-on experience with Infrastructure-as-Code using Terraform or similar tools and GitOps tooling such as ArgoCD or similar.
Experience with least-privilege IAM, secrets management, and securing production access.
Strong programming skills in Go, Python, or similar languages, with experience building automation and infrastructure systems.
Experience driving cross-team technical initiatives, influencing infrastructure best practices, balancing operational demands with long-term architecture, and prioritizing under high demand.
Experience thoughtfully applying AI tooling to infrastructure automation while keeping production changes safe and reviewable.
Nice to have
Experience leading large migrations involving CI systems, version control, or deployment platforms.
Experience with post-acquisition or platform-consolidation work.
Familiarity with observability platforms, telemetry pipelines, or monitoring infrastructure.
Experience building or evolving internal developer platforms.
Experience in high-growth, rapidly evolving engineering environments.
Culture & Benefits
Work within a small, highly collaborative infrastructure team with broad scope and high ownership.
Contribute to reliable, secure, and scalable infrastructure for an enterprise-scale observability platform.
Follow Snowflake confidentiality and data security standards as an essential part of the role.
Operate in an experimental, fast-moving environment focused on innovation and responsible use of AI tooling.
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