Responsibilities
- Design and build the deployment vehicle of our cloud and AI infrastructure.
- Set the standards the rest of the team will build on.
- Grow the surrounding engineers into a capable platform team.
- Make foundational decisions — cloud architecture, IaC conventions, CI/CD, observability, on-call.
- Codify decisions to scale beyond individual contributions.
- Serve as DevOps mentor for engineers lacking deep expertise.
- Design, implement, and maintain CI/CD pipelines and self‑service tooling.
- Automate infrastructure provisioning and configuration management using Terraform and Helm.
- Instrument monitoring, logging, and alerting across services and infrastructure.
- Implement security best practices across infrastructure and deployment workflows.
- Mentor engineers and run design reviews.
- Build the MLOps foundation for AppGate's AI products.
- Collaborate cross‑functionally with data scientists, product teams and leadership.
Requirements
- Extensive DevOps, platform, infrastructure, or SRE engineering experience with a track record of operating production systems at scale.
- Hands‑on experience standing up infrastructure and CI/CD pipelines in a greenfield or early‑stage environment.
- Hands‑on experience implementing observability across APIs, cloud services and distributed systems using tools such as Prometheus, Grafana, OpenTelemetry, the ELK stack or comparable.
- Familiarity with implementing security best practices in infrastructure and deployment workflows.
- Fluency in a primary backend language (Python, Go or similar) and a strong bias toward automation, testing and reliable, maintainable systems.
- A demonstrated record of growing engineers and setting technical direction.
- Pragmatic, rigorous and ownership‑driven. You thrive in a small, fast‑moving environment.
Core Competencies
Demonstrates expertise in designing and implementing cloud architecture, CI/CD pipelines, and infrastructure automation while mentoring engineers and fostering a collaborative platform team environment.
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