We're expanding our DevSecOps team. You'll build secure delivery pipelines, run infrastructure as code on AWS, keep our Kubernetes workloads reliable — and help bring every team along to the same standard.
What Will You Do
- Build and maintain CI/CD pipelines (GitHub Actions) with a shift-left approach — security and quality scanning (SAST, dependency/SCA, secrets, container images) integrated from the developer's machine through every stage of the SDLC.
- Build, improve, and maintain infrastructure as code with Terraform/Terragrunt on AWS, following the Landing Zone Architecture.
- Bring the agentic AI age into every layer of our work — apply AI coding agents and automation across CI/CD, code, and cloud infrastructure so we build and maintain systems more effectively, and help define the guardrails to use them safely.
- Operate containerized workloads on Kubernetes (EKS) and keep them secure, cost-effective, and reliable.
- Automate repetitive operational work — if we do it by hand more than once, you design the solution to solve it.
- Triage findings from security scanners and monitoring alerts; work with dev teams to verify fixes.
- Shine a light on the blind spots — build and tune monitoring, alerting, and availability dashboards so we know about issues before our customers do.
- Support security incident response — help investigate, contain, and follow up on findings through to remediation.
- Support compliance work — collect evidence, implement controls, and keep security configurations documented.
- Help drive adoption of DevSecOps standards across teams — demonstrate practices with working examples, document them clearly, and patiently bring skeptical teams on board.
Who We Are Looking For
- Bachelor's degree in Computer Science, Information Security, or a related field
- Hands-on with AWS (GCP a plus) — able to build, deploy, and maintain a service end to end
- Hands-on Kubernetes experience (we run EKS) and solid container fundamentals
- Scripting in Python, NodeJS, or shell
- Linux and networking fundamentals (TCP/IP layers, DNS, routing, firewalls) for troubleshooting
- Git-based workflows and CI/CD experience
- Hands-on use of AI-assisted engineering tools (coding agents, LLM tooling) in daily work — with the judgment to verify what they produce
- Automation mindset, systematic problem-solving, and self-drive — with something concrete to show for it
- Clear communicator who inspires teams to adopt new practices — leading with evidence and working examples, not authority
What's great if you have:
- Terraform/Terragrunt, GitHub Actions
- GitOps with ArgoCD
- Cloud security and OWASP basics
- Datadog or similar observability platforms
- Experience building agentic workflows — MCP integrations, AI-driven pipeline automation, or custom agents/skills
- Home lab, consistent self-paced learning, or open-source contributions
ABACUS digital