San Francisco, California, United States · On-site
$210k–$250k/yr
This is not a ticket-taking SRE role. You will define how mission-critical machine learning and real-time analytics systems operate in production — influencing reliability strategy, deployment standards, and infrastructu…
Skills: Linux Infrastructure, Kubernetes, Docker, Infrastructure-as-Code, Python
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Define and manage the reliability strategy, deployment standards, and infrastructure architecture for mission-critical ML and real-time analytics systems. Own the CI/CD strategy, observability frameworks, and post-incident reviews to drive long-term systemic improvements.
Requires deep experience operating Linux infrastructure and distributed systems, specifically supporting data-intensive or ML-driven workloads. Must be proficient in Kubernetes, Docker, Infrastructure-as-Code, and modern observability stacks.
This is not a ticket-taking SRE role.
You will define how mission-critical machine learning and real-time analytics systems operate in production — influencing reliability strategy, deployment standards, and infrastructure architecture across engineering.
This team operates in a highly collaborative, in-person engineering environment in SOMA. Infrastructure, ML, and engineering leaders work side by side to design, build, and operate complex systems in real time. The pace is fast, the feedback loops are tight, and decisions happen quickly.
If you’ve grown from Linux systems → DevOps → Staff-level SRE, and you now think in terms of systemic risk, scalability, and long-term reliability strategy — this role gives you direct influence and visibility.
This role is intentionally in-person because:
Reliability decisions happen at architectural depth — not over Slack threads
ML, data, and infrastructure teams collaborate continuously in real time
Post-incident reviews, system design debates, and performance tuning sessions are hands-on and high impact
You will have direct access to engineering leadership and decision-makers
The infrastructure you’re operating is mission-critical and evolving quickly
If you value deep technical collaboration, tight feedback loops, and being at the center of high-scale ML systems — this environment is built for that.
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 that drive measurable, long-term reliability improvements
Reliability standards across teams — not just within a single service
You’ll partner directly with engineering and data science teams to ensure ML workloads are production-ready and reliable by design.
Deep experience operating Linux infrastructure and networking in production environments
Proven impact as a Staff SRE, Senior SRE, or senior-level DevOps/Platform Engineer supporting distributed systems
Experience supporting complex, data-intensive or ML-driven systems in production
Strong hands-on experience with Docker and Kubernetes
Infrastructure-as-Code expertise
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 who works effectively across engineering and data teams
Engineers who have evolved from infrastructure foundations into strategic reliability leaders will thrive here.
Experience operating ML platforms at scale (training + inference)
AWS or cloud-managed services experience
Exposure to data platforms such as Spark, Airflow, or Kafka
Experience in SOC 2 or regulated environments
Staff-level ownership of mission-critical ML infrastructure
Direct influence over reliability standards across engineering
High-visibility role with architectural impact
Collaborative engineering culture designed for speed and depth
Competitive base compensation ($210K–$250K)
If you're a Staff-level reliability engineer who wants real ownership and architectural influence — let’s start the conversation.
StratITech is partnering with our San Francisco client to build the next generation of high-scale ML infrastructure.
Delivering Transformative Technical Solutions - One Relationship at a Time
About StratITech At StratITech, we help businesses scale, innovate, and transform through technology. Working closely with clients across Silicon Valley and beyond, we specialize in IT consulting, staffing solutions, and project delivery tailored to each organization’s unique needs. From high-growth startups to Fortune 500 enterprises, we deliver flexible, results-driven solutions in cloud, infrastructure, application development, DevOps, data, and emerging technologies. Our expert team combines deep technical knowledge with a practical, business-first approach—ensuring every engagement delivers measurable value. What We Offer: Technology Consulting – Strategy, architecture, and transformation planning Specialized IT Staffing – Contract, contract-to-hire, and direct placement Project Solutions – End-to-end delivery of critical technology initiatives Our Mission: To empower businesses and professionals by connecting the right people, processes, and technologies—driving growth, innovation, and long-term success. Our Values: Integrity • Collaboration • Agility • Excellence 📢 Join Us – Be part of a collaborative, inclusive team where your expertise makes an impact. 🌐 Learn More: www.stratitechservices.com
Offices: Greater Silicon Valley, CA, US
Delivering Transformative Technical Solutions - One Relationship at a Time
About StratITech At StratITech, we help businesses scale, innovate, and transform through technology. Working closely with clients across Silicon Valley and beyond, we specialize in IT consulting, staffing solutions, and project delivery tailored to each organization’s unique needs. From high-growth startups to Fortune 500 enterprises, we deliver flexible, results-driven solutions in cloud, infrastructure, application development, DevOps, data, and emerging technologies. Our expert team combines deep technical knowledge with a practical, business-first approach—ensuring every engagement delivers measurable value. What We Offer: Technology Consulting – Strategy, architecture, and transformation planning Specialized IT Staffing – Contract, contract-to-hire, and direct placement Project Solutions – End-to-end delivery of critical technology initiatives Our Mission: To empower businesses and professionals by connecting the right people, processes, and technologies—driving growth, innovation, and long-term success. Our Values: Integrity • Collaboration • Agility • Excellence 📢 Join Us – Be part of a collaborative, inclusive team where your expertise makes an impact. 🌐 Learn More: www.stratitechservices.com
Offices: Greater Silicon Valley, CA, US