AI Solutions Engineer
Storm2 · storm2.com
United StatesHybridMid level3+ yrs
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The job in short
Building AI solutions for clients.
PythonJavaJavaScriptAWSKubernetesDockerLinuxDevOpsNetworking
Details
- Found
- 6 d ago · posted 2026-10-09
- Location
- California
Full description
Senior DevOps Engineer
Location: SF
Type: Full-time | Hybrid
Salary – 220,000-300,000
About Our Client
Our client is a rapidly growing technology company at the forefront of digital infrastructure innovation. They partner with leading organizations to deliver secure, scalable, and high-performance platforms that support millions of users nationwide. Their mission is to build and safeguard the technology backbone that powers the modern economy.
The Opportunity
You’ll play a key role in building and maintaining resilient systems that scale to meet future demand. You’ll work with cross-functional teams to design, automate, and optimize complex distributed systems, ensuring customers experience fast, reliable, and secure services at all times.
What You’ll Do
• Drive reliability, automation, and scalability across mission-critical applications.
• Build tooling and frameworks for deployment automation, configuration management, and disaster recovery.
• Implement observability solutions (monitoring, alerting, tracing, and logging) to proactively identify and address issues.
• Partner with engineering teams to influence software design, microservice best practices, and CI/CD workflows.
• Diagnose and resolve performance bottlenecks in large-scale distributed systems.
• Provide runbooks, documentation, and technical guidance to operational support teams.
• Participate in a 24/7 on-call rotation and drive improvements that reduce incident frequency and impact.
• Establish repeatable patterns and standards that improve service delivery and operational efficiency.
What We’re Looking For
• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
• 3+ years in a site reliability, DevOps, or systems engineering role within a mid-to-large-scale enterprise.
• Strong Linux systems administration background.
• Solid knowledge of scripting (Python, Bash, Ruby, or similar).
• Hands-on experience with observability tools (e.g., Prometheus, Grafana, ELK, Datadog, New Relic).
• Familiarity with CI/CD pipelines, Git, and modern software delivery practices.
• Knowledge of networking protocols (TCP/UDP/IP) and security/encryption standards.
• Excellent communication and collaboration skills, with the ability to work across engineering and product teams.
Preferred Qualifications
• Proficiency in programming (Java, Go, Python, Ruby, or JavaScript).
• Experience supporting production applications in a 24/7 customer-facing environment.
• Strong background with containerization and orchestration (Docker, Kubernetes, Swarm).
• Hands-on experience with AWS or other cloud platforms.
Why Join
• Competitive healthcare, dental, and vision coverage
• 401(k) with company match
• Generous PTO and paid holidays, plus volunteer days
• 12 weeks paid parental leave
Machine Learning / AI Engineer jobs in the United States · All Storm2 jobs