Delivery Engineer — Cloud & AutomationDesign and Integrate Systems for Mission Success

Bluestaq is hiring a Delivery Engineer to operate and evolve our Kubernetes-based platform on AWS. You will own the deployment automation, day-to-day production health, and incident response for the services that power the Unified Data Library (UDL) — a mission-critical data platform used across government and commercial space operations.

This is a hands-on platform/SRE role. You will spend your time deploying infrastructure with Terraform/Terragrunt, debugging failed rollouts in EKS, chasing latency and error spikes through Grafana and traces, and remediating production issues in Kubernetes directly.

Why This Role Matters

Bluestaq delivers integrated, secure, and reliable systems for customers operating in mission-critical and commercially demanding environments. Systems engineering is at the core of how we win, deliver, and scale. Without strong systems engineering execution, our teams can't move fast, our systems can't stay secure, and our customers can't rely on the technology that supports their operations.

This role is foundational to the team and the organization. Your work spans defined features, environments, and components within a team, with growing independence, which means your decisions, your designs, and your technical judgment have a direct and measurable effect on what Bluestaq delivers. We're building a culture of ownership and technical excellence, and we need people who bring both depth and the right mindset to do it.

What Success Looks Like in the First 90 Days

Comfortable deploying and updating services across our EKS environments via Terragrunt and Argo CD

Independently triaging Grafana alerts and resolving common production issues

Contributing improvements to runbooks, dashboards, or automation based on at least one real incident

Participating in the on-call rotation

Key Responsibilities

Deploy and maintain UDL platform infrastructure on AWS EKS using Terraform and Terragrunt

Manage application rollouts via Argo CD / GitOps workflows; troubleshoot failed deployments, upgrades, and sync issues

Monitor production service health using Grafana dashboards, logs, and distributed traces; drive incidents to root cause

Perform live remediation in Kubernetes — pod restarts, rolling updates, scaling, node draining, debugging stuck workloads

Improve observability coverage, alert quality, and runbooks based on what you learn from real incidents

Automate repetitive operational toil using Python, Bash, or PowerShell