Senior Platform Engineer (DevX)
About The Position
Our enterprise software team builds the digital backbone that powers K2 Space’s ($1B raised to date) satellite design, manufacturing, and mission operations. We develop tools that connect engineering, production, and mission control into a seamless ecosystem — enabling our hardware to get from concept to orbit faster than ever before. As we continue to grow, we’re looking for a Senior Platform Engineer on our Enterprise Information Systems team, you must possess strong technical skills and a sense of empathy for your fellow engineers. You will work closely with other talented engineers, architects and senior stakeholders to design, implement, and deliver on our roadmap.
Requirements
- BS/MS in Computer Science (or equivalent) and 8+ years of experience building developer tooling and deployment patterns
- Comfortable with performing PoC to evaluate new technology: AI Platform, AI models, introducing new developer experience products.
- Proficiency in at least one language (Go, TypeScript, Python, C#) and disciplined SCM workflows (branching, reviews, automated gates)
- Deep working knowledge architecture knowledge of designing, developing and deploying application to Amazon EKS
- Deep working knowledge of CI/CD build pipeline with Github or Gitlab
- Competence leveraging observability & SLOs (metrics, tracing, structured logs, L4/L7 telemetry, end‑to‑end request path, visibility into applied policies, SLI/SLO definition & enforcement)
- Experience with using Terraform or CDK, GitOps (GH Actions, Gitlab CI), progressive/canary rollouts, policy-as-code integration
- Experience with AI-assisted development process and understand how to navigate benefits and challenges of leveraging AI to accelerate deliverables
Responsibilities
- Build consistent application patterns to deploy to Amazon EKS enabling both AI-assisted general application development and specialized application development work
- Promoting AI adoption in a secure and consistent model while supporting AI operational needs. Establishing AI guardrails, observability and governance within the context of software development ensuring AI assisted application development will be secured with industry best practices
- Build guard rails and out-of-the-box platform functionalities for golden path deployment model and accelerate applications go-live with low friction tooling
- Lead long term developer experience road map incorporating capabilities from multiple disciplines within software industry
- Engineer resilient traffic paths (timeouts, retries, circuit breaking, failure isolation) and harden them via chaos tests, automated remediation, and MTTR reduction
- Incorporate observability services for end‑to‑end application monitoring and alerting
- Provide approachable docs & diagnostics (guides, diagrams, ‘why can’t this connect?’ flows) to shorten support loops
- Optimize performance & cost (latency budgets, cross‑AZ transfer, IP consumption, LB efficiency) and act on anomalies
- Steward code lifecycle and adoption including versioning, safe migrations, deprecations, usage telemetry, and proactive pruning of unused resources
- Mentor engineers and partner with adjacent teams to embed application abstractions into golden paths, raising organizational fluency and consistency in software engineering
- Build automated policies and processes to ensure good code deployment practices, code hygiene, good code test practices
Benefits
- paid time off
- medical/dental/vision/ coverage
- life insurance
- paid parental leave
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What This Job Offers
Job Type
Full-time
Career Level
Senior
