Senior Platform Engineer (DevOps)

Job summary

ActiveProspect is seeking a Senior Platform Engineer to build self-service tooling, paved roads, and automation to accelerate product engineers. This role involves enhancing deployment, observability, security, and infrastructure operations, with a focus on judgment to prioritize and implement effective solutions.

Qualifications

• 5+ years building, operating, and owning production infrastructure at scale.
• Track record of platform work that improved engineer efficiency.
• Deep expertise in AWS cloud environment, 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.
• Track record of shipping and owning end-to-end outcomes, with an instinct for reusable solutions.
• Treats developer experience as a product, measuring adoption and delivery metrics.
• Strong systems-design judgment in ambiguous contexts, with ability to descope and push back on low-value work.
• Experience leading incidents and operating customer-facing production environments with focus on uptime and service quality.
• Uses AI agents and coding tools daily, critically reading output and building automation.
• Clear written and verbal communication, with mentorship experience.
• Security and reliability mindset for sensitive consumer data.
• A 4-year degree in engineering or computer science.

Responsibilities

• Own outcomes end-to-end, framing problems, designing solutions, shipping, and ensuring metric movement.
• Descope to the most efficient version and prototype rapidly.
• Build for self-service, treating the platform as a product for internal engineers.
• Solve friction with reusable, well-documented tooling for broad adoption.
• Own and evolve the paved road, setting direction for GitOps, Kubernetes (AWS EKS / ArgoCD), and serverless (AWS Lambda) patterns.
• Lead migrations to secure, reliable, and cost-aware patterns.
• Own reliability, leading incident response, blameless postmortems, and durable fixes.
• Set on-call practices to meet SLAs without burnout.
• Architect AI-driven leverage, designing and operating AI agents and automation for production.
• Set guardrails, evaluations, and cost controls for AI systems.
• Evolve team practices with changing AI tooling.
• Own access, security, and compliance, designing credential and permission management.
• Lead SOC 2 and GDPR work and remediation.
• Reduce infrastructure cost through measurable initiatives.
• Multiply the team by mentoring on judgment and systems thinking.
• Write decision memos and ADRs, set standards, and share context across the organization.

Skills

Degrees

Relocation