Senior Site Reliability Engineer joining SaaS - Ops team at Magnet Forensics. Overseeing Kubernetes clusters and operational reliability in cloud environments for law enforcement customers.
About the role
- Senior Platform Engineer at ActiveProspect focused on improving developer experience through tooling, automation, and infrastructure management. Leading technical direction and incident response for scalable systems.
Responsibilities
- 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
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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