Staff SRE: ML & Real-Time Analytics Reliability Leader

Stratitech Services LLC; San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

StratITech is hiring for a Staff-level reliability role focused on building and governing the next generation of high-scale ML infrastructure in San Francisco. You will own production reliability for ML and real-time analytics, drive CI/CD strategy, and set robust observability standards across teams.

The role requires hands-on leadership in Kubernetes, IaC, and incident response, with direct access to engineering leadership.

Qualifications

• Deep experience operating Linux infrastructure in production.
• Proven impact as a Staff SRE, Senior SRE, or senior DevOps/Platform Engineer.
• Experience supporting complex, data-intensive or ML-driven systems in production.
• Strong hands-on experience with Docker and Kubernetes.
• Strong scripting ability (Bash and/or Python).
• CI/CD ownership experience (GitHub Actions, ArgoCD, or similar).
• Experience with modern observability stacks (Prometheus, Grafana, Datadog, ELK, OpenTelemetry).
• Ability to debug systemic failures across infrastructure, deployments, and workloads.
• Clear communicator across engineering and data teams.
• Engineers who evolved from infrastructure foundations into reliability leaders will thrive here.

Responsibilities

• Production reliability for ML and real-time analytics workloads.
• CI/CD strategy, deployment automation, and rollback design.
• Observability frameworks (SLOs, alerting, monitoring, incident response).
• Infrastructure-as-Code and Kubernetes environments.
• Capacity planning and performance optimization.
• Post-incident reviews driving long-term reliability improvements.
• Reliability standards across teams, not just a single service.
• Partner with engineering and data science teams to ensure ML workloads are production-ready.

Skills

Linux

Staff SRE

Docker

Kubernetes

Scripting Bash/Python

CI/CD ownership

Observability stacks

Cross-team collaboration

Production ML/real-time

Tools

Docker

Kubernetes

Job description

StratITech is hiring for a Staff-level reliability role focused on building and governing the next generation of high-scale ML infrastructure in San Francisco. You will own production reliability for ML and real-time analytics, drive CI/CD strategy, and set robust observability standards across teams.

The role requires hands-on leadership in Kubernetes, IaC, and incident response, with direct access to engineering leadership.