> Markdown version of [/jobs/ext/4621890-ai-solutions-engineer](https://www.wearedevelopers.com/jobs/ext/4621890-ai-solutions-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Solutions Engineer - **Company:** TWO STORMS, LLC - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $220,000.0 - $300,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Systems Engineering, Bash Shell, Configuration Management, Computer Programming, Continuous Integration, DevOps, Disaster Recovery, Distributed Systems, Python (Programming Language), Linux System Administration, Network Protocols, Reliability Engineering, Prometheus, Ruby, Software Engineering, Datadog, Data Logging, Scripting, Grafana, Git, Containerization, Kubernetes, Information Technology, Deployment Automation, New Relic (SaaS), Docker, Golang - **Published:** November 7, 2026 - **Apply:** https://www.juju.com/job/28_25196_231e3c37b480828f7eb753b7dd66255c ## About the Role * 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., * 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. ## Description 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., * 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.