Senior Platform Engineer

The Role

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.

Our Ideal Candidate

Distills application development best practices into repeatable low friction patterns to enable users from multiple backgrounds to build high-quality applications and services
Practices surgical precision in feature development, delivering high value while avoiding complexity that delays or bloats
Delivers work with excellence including readable code, automated tests, clear documentation, consistent maintenance, and polished observability
Intuitively understands manufacturing domain functionality, service identity, and secure communication with a keen ability to simplify them
Understands the importance of resilience and reliability in production operations and upgrades

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

Qualifications

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

Compensation and Benefits

Base salary range for this role is $165,000 - $200,000 + equity in the company
Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level
Comprehensive benefits package including paid time off, medical/dental/vision/ coverage, life insurance, paid parental leave, and many other perks