Unknown Company

AI Solutions Engineer

ca • Posted 3 days ago
Hybrid Full Time Science

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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AI Solutions Engineer in ca at Unknown Company

This position is listed as full time and hybrid.

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