Senior Platform Engineer (DevX)

Responsibilities

• Build self-service Amazon EKS integration abstractions supporting segmentation, governed namespaces, workload scaling, multi-tenancy, adaptive ingress/egress, and traceable traffic.
• Create consistent application deployment processes for general and specialized development, including AI-assisted development.
• Establish secure AI adoption practices, AI guardrails, observability, governance, and AI operations support.
• Develop golden-path platform guardrails and built-in capabilities that accelerate application go-live and encourage low-friction platform adoption.
• Lead the long-term platform roadmap, incorporating AI capabilities and AI operations.
• Engineer resilient traffic paths with timeouts, retries, circuit breaking, failure isolation, chaos testing, automated remediation, and reduced MTTR.
• Drive observability standards covering request paths, identity, routes, outcomes, saturation, cost, and applied policies across environments.
• Provide documentation, diagrams, diagnostics, and connection-troubleshooting flows to shorten support loops.
• Optimize latency, cross-AZ transfer, IP consumption, and load-balancer efficiency while acting on anomalies.
• Steward code and resource lifecycles through versioning, migrations, deprecations, usage telemetry, and removal of unused resources.
• Mentor engineers and partner with adjacent teams to embed platform abstractions into golden paths and improve organizational consistency.
• Automate policies and processes for deployment practices, code hygiene, and testing practices.

Requirements

• Bachelor’s or master’s degree in Computer Science or equivalent experience, plus 8+ years building and operating distributed or platform systems with production Kubernetes/EKS ownership.
• Proficiency in at least one of Go, TypeScript, Python, or C# and disciplined source-control workflows involving branching, reviews, and automated gates.
• Working knowledge of Karpenter, Istio, ArgoCD, and KEDA for Amazon EKS.
• Working knowledge of CI/CD build pipelines using GitHub or GitLab.
• Competence in observability and SLOs, including metrics, tracing, structured logs, L4/L7 telemetry, request-path visibility, policy visibility, and SLI/SLO definition and enforcement.
• Experience with infrastructure as code and delivery using Terraform or CDK, GitOps with GitHub Actions or GitLab CI, progressive or canary rollouts, and policy-as-code integration.
• Experience with AI-assisted development processes and the benefits and challenges of using AI to accelerate deliverables.
• Experience evaluating AI platforms, AI models, and new products through proofs of concept.
• Preferred experience with production Karpenter, Istio, ArgoCD, or KEDA; chaos engineering and automated remediation; cost optimization; and mentoring or driving platform adoption across multiple teams.
• Must be a U.S. person under ITAR or otherwise eligible for a federally issued export control license.

Benefits

• Comprehensive benefits package including paid time off, medical, dental, vision coverage, life insurance, and paid parental leave.
• Equity in the company.
• The role includes additional perks and benefits.
• Applicants must be U.S. persons or otherwise eligible for a federally issued export control license under ITAR.
• Reasonable accommodations are available for the application or interview process.