Senior Platform Engineer – DevOps
Location
Worldwide
Posted
10 hours ago
Salary
$110K - $150K / year
Seniority
Senior
Job Description
Senior Platform Engineer – DevOps
ActiveProspect
• Own outcomes end-to-end • Frame the problem, design the solution, ship it, and own whether it actually moved the metric • Descope to the cheapest version that works, and prototype in days, not weeks • Build for self-service, not for tickets • Treat the platform as a product and internal engineers as your customers • Understand their friction, then solve it with reusable, well-documented tooling • Own and evolve the paved road • Set the direction for our GitOps, Kubernetes (AWS EKS / ArgoCD), and serverless (AWS Lambda) patterns • Own reliability • Lead incident response for the systems you own • Architect AI-driven leverage • Design and operate AI agents and automation • Own access, security, and compliance • Design how we manage credentials and permissions for developers and automated processes • Make things cheaper • Own initiatives that measurably reduce infrastructure cost • Mentor on judgment and systems thinking
Job Requirements
- 5+ years building, operating, and owning production infrastructure at scale
- Deep expertise in a cloud environment (AWS) and with containers and orchestration (Docker, Kubernetes / EKS, Helm)
- Strong command of CI/CD and GitOps (GitHub Actions, ArgoCD) and Git-based workflows
- Hands-on expertise with Infrastructure as Code (Terraform) and configuration automation
- Solid grasp of Linux (Ubuntu), production databases (PostgreSQL/RDS, DynamoDB, MySQL, MongoDB), and networking (load balancers, firewalls, routing, VPN)
- A track record of shipping something you cared about end-to-end and owning the outcome
- Treats developer experience as a product — measures adoption and delivery metrics (e.g., DORA) and iterates on tooling the way a PM iterates on a feature
- Strong systems-design judgment in ambiguous contexts
- Experience leading incidents and operating customer-facing production environments with a focus on uptime and service quality
- Uses AI agents and coding tools as a daily driver
- Clear written and verbal communication, plus mentorship experience
- A security and reliability mindset that fits working with sensitive consumer data
- A 4-year degree in engineering or computer science
Benefits
- Flexible work arrangements
- Professional development opportunities
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