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AI Solutions Engineer

Storm2 · storm2.com
United StatesHybridMid level3+ yrs
Apply on Storm2’s site
Posted 30 days ago. 756 more Machine Learning / AI Engineer jobs in the United States went up on company career pages this week. See the newer ones

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Straight from the company’s own careers site.

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

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