Platform Engineer
Role details
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Tech stack
Job description
Platform Engineering exists for one reason: to make every engineering team in the organization faster, more reliable, and more confident in how they build and ship. This has never been more critical than right now - AI is fundamentally changing where solution contribution originates, and teams across the organization need a platform that enables them to harness that shift safely, consistently, and at speed. We've hired our Lead Platform Engineer - a hands-on builder who will be in the code daily, building right alongside you. Now we need a second strong engineer to double the team's output and accelerate the mission. The mission is enablement. Every team that touches infrastructure should move faster because of what we build: golden-path pipelines that eliminate guesswork, Terraform modules that encode best practices, security guardrails built in rather than bolted on, and AI-powered workflows that eliminate toil and accelerate decision-making. When we do our job well, teams iterate faster, ship more reliably, operate more securely, and have full transparency into their infrastructure. This is an AI-forward position. Senior leadership is all-in on AI, and we want someone genuinely excited to apply AI tooling and agentic patterns to infrastructure automation, delivery workflows, and operational excellence - as a daily multiplier, not a checkbox. The Specifics of the Role
- Everything you build has one measure: did it make teams faster, more reliable, more secure, and more transparent?
- Build and ship Terraform modules alongside the lead - reusable building blocks that let teams provision infrastructure quickly, consistently, and without reinventing patterns.
- Build IaC testing and validation frameworks (Terratest, checkov, tflint) so consuming teams trust modules implicitly and move fast with confidence.
- Write clear module documentation and self-service guides so teams adopt capabilities independently.
- Build and ship GitHub Actions workflows - golden-path patterns giving teams a fast, proven, secure path from commit to production.
- Implement pipeline guardrails - linting, secret scanning, testing gates, approvals, deployment safety - speed and safety in one path.
- Own pipeline reliability and drive adoption: monitor, troubleshoot, work directly with teams, capture friction, and feed learnings back into improvements.
- Integrate AI tooling (GitHub Copilot, ChatGPT, Claude, agent frameworks) into your daily work and into platform capabilities - a multiplier for your productivity and every consuming team's.
- Build AI-assisted automation into delivery and operations - intelligent PR generation, code review assistance, AI-powered incident triage, runbook execution.
- Explore and prototype agentic AI patterns alongside the lead - workflow engines, autonomous tasks, and intelligent automation. Champion AI adoption across consuming teams.
- Implement security scanning (tfsec, checkov, Trivy) in CI/CD so security is built into delivery, not a gate that slows teams down.
- Build Datadog dashboards, monitors, and alerts as code - transparent, real-time visibility into infrastructure health and pipeline performance.
- Create developer documentation, onboarding guides, and runbooks that make the platform self-service. Support container workloads (Kubernetes/Docker) as the platform expands.
Requirements
- Terraform hands-on experience (2+ years): modules, state management, workspace patterns.
- CI/CD pipeline experience: GitHub Actions preferred; Azure DevOps, GitLab CI, or Jenkins transfers well.
- Cloud platform familiarity - Azure or AWS (Azure preferred): real workloads, core services, networking, IAM.
- Scripting and automation: clean Python, Bash, or PowerShell to automate tasks and eliminate toil.
- Testing and quality mindset: comfortable with or eager to learn Terratest, checkov, tflint, or similar. Git proficiency with branching strategies, PR workflows, and daily code review.
- AI-forward mindset: actively using AI tools (Copilot, ChatGPT, Claude) as daily multipliers, excited to build AI-assisted workflows into platform capabilities.
- Enablement orientation: you measure success by whether teams are faster and more self-sufficient because of what you built.
- Security scanning tools (tfsec, checkov, Trivy, Snyk)
- Datadog or equivalent observability platform
- Kubernetes / Docker (container ops, Helm, cluster maintenance)
- Ansible or configuration management tools
- Agentic AI or workflow automation (n8n, LangChain, or similar)
- Networking fundamentals or developer portals (Backstage, mkdocs)
Benefits & conditions
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Discretionary Annual Bonus: Subject to company and individual performance.
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Comprehensive Benefits Package Including: Medical, dental and vision plans, 401k, generous PTO and paid company holidays, employee assistance program, flexible spending accounts, life insurance, disability coverage, learning & development programs and more! Compensation
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The salary range for this position considers a wide range of factors in making compensation decisions including but not limited to: Education, qualifications, skills, training, experience, certifications, internal equity, and location. Compensation decisions are dependent on the facts and circumstances of each case.