Senior Platform Engineer (DevX)

K2 Space•Los Angeles, CA

20h

About The Position

Our enterprise software team builds the digital backbone that powers K2 Space’s 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 and operating distributed/platform systems with production Kubernetes/EKS ownership
Comfortable performing PoCs to evaluate new technology: AI platforms, AI models, and new products
Proficiency in at least one language (Go, TypeScript, Python, C#) and disciplined SCM workflows (branching, reviews, automated gates)
Working knowledge of Karpenter, Istio, ArgoCD, and KEDA for Amazon EKS
Working knowledge of CI/CD build pipelines with GitHub or GitLab
Competence in observability & SLOs (metrics, tracing, structured logs, L4/L7 telemetry, end-to-end request path, visibility into applied policies, SLI/SLO definition & enforcement)
Experience with infrastructure as code and delivery: Terraform or CDK, GitOps (GH Actions, GitLab CI), progressive/canary rollouts, policy-as-code integration
Experience with AI-assisted development processes and understanding of how to navigate the benefits and challenges of leveraging AI to accelerate deliverables

Nice To Haves

Hands-on production experience (architecture through operational support) with Karpenter, Istio, ArgoCD, and/or KEDA
Experience with chaos engineering, tooling, and automated remediation frameworks
Familiarity with cost-optimization tooling for cross-AZ transfer, IP consumption, or load balancer efficiency
Experience mentoring engineers or driving platform adoption across multiple teams

Responsibilities

Build self-service integration capability for Amazon EKS functionalities through abstractions.
Enabling scoped segmentation, governed namespace, automated workload scaling, multi-tenancy, adaptive ingress/egress, and traceable traffic
Build a consistent application deployment process to enable both AI-assisted general application development and specialized application development work
Promote AI adoption in a secure and consistent model while supporting AI operational needs
Establish AI guardrails, observability, and governance
Build guardrails and out-of-the-box platform functionalities for a golden path development model, accelerating application go-live with low-friction adoption of platform tooling
Lead long-term platform roadmap incorporating AI capabilities and AI operations
Engineer resilient traffic paths (timeouts, retries, circuit breaking, failure isolation) and harden them via chaos tests, automated remediation, and MTTR reduction
Drive observability standards so end-to-end request paths and applied policies are visible (source, identity, route, outcome, saturation, cost) across environments
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
Build automated policies and processes to ensure good code deployment practices, code hygiene, and good code test practices