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Низкая зарплатаТрендовый доменЧеткая роль
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Platform Engineer (AWS/Kubernetes): Building and operating enterprise platform capabilities for satellite design, manufacturing, and mission operations with an accent on Amazon EKS self-service, multi-tenancy, deployment governance, and end-to-end observability. Focus on automating workload scaling and traffic policies, supporting safe code lifecycle practices, and creating diagnostics for distributed systems.
Location: Los Angeles, CA, United States
Salary: $123,000–$160,000 annual base salary plus equity
Company
hirify.global develops high-power satellite platforms for commercial and U.S. government missions across multiple orbits, including deep space.
What you will do
Operate and improve Amazon EKS self-service capabilities, including scoped segmentation, governed namespaces, workload scaling, multi-tenancy, and adaptive ingress and egress.
Implement observability standards that expose request paths, identities, routes, policies, outcomes, saturation, and cost across environments.
Create documentation, diagrams, and diagnostics to help engineers troubleshoot connectivity and platform issues.
Support platform code lifecycle management through versioning, safe migrations, deprecations, usage telemetry, and resource cleanup.
Build automated policies and processes for reliable deployments, code hygiene, and effective testing.
Requirements
Bachelor’s degree in Computer Science or equivalent experience and 2–5 years of experience building and operating distributed systems.
Proficiency in at least one of Go, TypeScript, Python, or C#.
Experience with disciplined source-control workflows, including branching, code reviews, and automated gates.
Working knowledge of CI/CD pipelines using GitHub or GitLab, Amazon EKS, and Datadog, Splunk, or OpenTelemetry.
Must qualify as a U.S. Person under ITAR or otherwise be eligible for a federally issued export-control license.
Nice to have
Experience with Kubernetes CRDs and operators, admission guardrails, linting, simulation, and automated tests.
Infrastructure as code and delivery experience with Terraform or CDK, GitOps, progressive or canary rollouts, and policy-as-code.
Familiarity with observability and SLOs, including metrics, tracing, and structured logs.
Culture & Benefits
Paid time off, medical, dental, and vision coverage.
Life insurance and paid parental leave.
Equity in the company and additional benefits.
Reasonable accommodations are available during the application and interview process.
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