Senior Site Reliability Engineer – Infra Ops

Circle

. Design, build, and operate Kubernetes platforms for secure, highly available, and scalable critical production services across hybrid and public-cloud environments .

Posted 10/1/2026full-timeRemote • California • United StatesSenior💰 $152,500 - $205,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in Kubernetes platform design and operation, with strong capabilities in Terraform for infrastructure as code. Proficient in backend development using Go, Python, or JavaScript/TypeScript, and skilled in implementing observability practices and incident management processes.

Highest-signal resume keywords

Kubernetes ExpertiseTerraform ProficiencyBackend Development in Go, Python, or JavaScript/TypeScriptObservability and Troubleshooting SkillsCI/CD and Deployment Automation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

KubernetesTerraformGoPythonJavaScriptTypeScriptCI/CDGitOpsSLIsSLOs

Soft Skills

Clear CommunicationStrong OwnershipJudgment

Tools & Technologies

Cloud InfrastructureIncident Management ToolsAI-assisted Tooling

Industry Keywords

Site Reliability EngineeringDevOpsInfrastructure EngineeringProduction SystemsSecurity and Compliance

Tech Stack

Tools & technologies

CloudDistributed SystemsDNSJavaScriptKubernetesPythonTerraformTypeScriptGo

About the role

Key responsibilities & impact

Design, build, and operate Kubernetes platforms for secure, highly available, and scalable critical production services across hybrid and public-cloud environments
Build infrastructure as code with Terraform using reusable modules, safe delivery workflows, and governed infrastructure changes
Develop backend services, internal tools, and operational automation in Go, Python, or JavaScript/TypeScript
Partner with engineering and product teams to translate workload requirements into pragmatic solutions for reliability, performance, capacity, security, and cost
Improve the production lifecycle through CI/CD, deployment automation, progressive delivery, and clear operational ownership
Define and evolve observability practices across metrics, logs, traces, alerting, and dashboards
Participate in on-call, lead incident response, perform root-cause analysis, and drive blameless postmortems and corrective actions
Establish reliability targets using SLIs, SLOs, error budgets, capacity planning, disaster-recovery testing, and resilience improvements
Embed security and compliance into platform operations
Apply AI-assisted and data-driven operational techniques to improve signal detection, reduce alert noise, accelerate root-cause analysis, and identify automation opportunities
Contribute through code reviews, documentation, knowledge sharing, and mentorship
Mentor and support team growth

Requirements

What you’ll need

5+ years of experience in Site Reliability Engineering, DevOps, Infrastructure Engineering, or a closely related software engineering role supporting production systems
Deep, hands-on Kubernetes expertise, including designing, operating, securing, and troubleshooting production clusters and containerized workloads at scale
Strong Terraform experience, including authoring reusable modules, managing state and environments, and delivering infrastructure changes through reviewable, automated workflows
Production software-development experience in Go, Python, or JavaScript/TypeScript
Demonstrated success improving the reliability, performance, scalability, or cost efficiency of distributed systems in production
Experience with cloud infrastructure and core networking concepts, including IAM, DNS, load balancing, routing, service networking, and secure connectivity
Strong observability and troubleshooting skills using metrics, logs, traces, alerting, and incident data
Experience defining and operating against SLIs, SLOs, error budgets, incident-management processes, postmortems, and disaster-recovery practices
Familiarity with CI/CD, GitOps or deployment automation, and canary or blue-green deployments
Security-minded approach to infrastructure and experience partnering with Security and engineering teams in regulated or high-availability environments
Clear written and verbal communication, strong ownership, and judgment to balance speed, risk, and operational excellence
Experience applying AI-assisted tooling to engineering or operations workflows is a plus

Benefits

Comp & perks

Flexible work environment
Remote-first work arrangement