The RoleOur 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
If you don't meet 100% of the preferred skills and experience, we encourage you to still apply! Building a spacecraft unlike any other requires a team unlike any other and non-traditional career twists and turns are encouraged!
If you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know.
