10 дней назад
Infrastructure DevOps Software Engineer III (AI)
164 652 - 230 513$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Infrastructure DevOps Software Engineer III (AI) (AWS/Kubernetes/DevSecOps): Building and operating an internal cloud platform for aerospace engine software and data teams with an accent on reusable infrastructure-as-code, production Kubernetes, secure delivery, and AI-assisted automation. Focus on designing shared AWS and EKS services, establishing reliability and security controls, and solving complex scalability, incident response, and multi-tenant platform challenges.
Location: Greater Seattle Area; U.S. work authorization required
Base pay for Washington applicants: $164,652.00–$230,512.80 per year. Other site ranges may differ.
Company
develops reusable, safe, and low-cost space vehicles and systems, with this role supporting the Engines business unit’s propulsion design, manufacturing, and testing activities.
What you will do
- Design, build, and operate reusable Pulumi and Terraform infrastructure-as-code modules as versioned internal products.
- Build golden paths, self-service automation, and production-ready platform templates for software and data teams.
- Own shared AWS services and production Amazon EKS platforms, including networking, identity, autoscaling, upgrades, multi-tenancy, and resource governance.
- Develop CI/CD deployment patterns, microservice platform capabilities, observability, and automated security controls.
- Apply AI-assisted development and build AI-supported operational automation for triage, alert summarization, remediation suggestions, and change impact analysis.
- Define SLOs and error budgets, lead incident response and root cause analysis, and improve platform performance, resiliency, capacity, and cost efficiency.
Requirements
- Bachelor’s degree or higher in computer science, engineering, mathematics, physics, aerospace, or a related field.
- 5+ years of hands-on software or cloud infrastructure experience, including ownership of production systems and support for internal teams or tenants.
- Deep AWS experience with EC2, EKS, S3, VPC, IAM, RDS, CloudWatch, Route 53, and Secrets Manager or Parameter Store.
- Production Kubernetes, infrastructure-as-code with Pulumi and Terraform, containers, CI/CD, Linux, networking, observability, databases, and cloud security experience.
- Experience with TypeScript and/or Python plus at least one additional programming language, and professional use of AI coding assistants or agentic development tools.
- Must be a U.S. citizen or national, U.S. permanent resident, or lawfully admitted refugee or asylee.
Nice to have
- Experience with internal developer platforms, Backstage or Port, Kubernetes operators, GitOps, Helm, Kustomize, or policy-as-code.
- Experience building AI or LLM-based operations automation, MCP servers, agent frameworks, or AI-facing internal tooling.
- Experience with secure DevSecOps tooling, AWS landing zones, FinOps, chaos engineering, disaster recovery, or resiliency testing.
- Aerospace, propulsion, manufacturing, or other high-reliability engineering experience and relevant professional certifications.
Culture & Benefits
- Safety, collaboration, inclusion, technical ownership, and continuous process improvement are emphasized.
- Medical, dental, vision, life insurance, disability coverage, and paid parental leave.
- 401(k) with company matching of up to 5% and an Education Support Program.
- Stock options for regular employees working at least 20 hours per week.
- Up to four weeks of paid time off and up to 14 company-paid holidays.
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