Senior SRE AI Engineer
Senior SRE AI Engineer responsible for operating reliable production infrastructure and AI-powered applications, with ownership of automation, observability, incident response, and provider integrations. Requires 5+ years of SRE or infrastructure engineering experience and hands-on cloud, platform, and AI operations expertise.
About the job
Responsibilities
- Support AI-based application solutions where reliability matters, partnering with development teams on development and production operations.
- Work with AI solutions, providers, and APIs, focusing on API reliability, authentication, quotas, rate limits, latency, and provider-specific operational constraints.
- Troubleshoot AI tools and provider issues across workflows, APIs, configuration, permissions, degraded responses, and related areas.
- Operate reliable production platforms and cloud infrastructure while helping product teams move quickly without compromising reliability.
- Improve observability by building dashboards, alerts, traces, logs, and runbooks tied to SLOs and customer impact.
- Apply AI to SRE workflows by prototyping and productionizing AI-assisted operational systems.
- Automate operational toil through tools, workflows, and automation that reduce repetitive manual work.
Requirements
- 5+ years of experience as a Senior SRE, Infrastructure Software Engineer, Production Engineer, or DevOps Engineer.
- 3+ years of experience operating production, 24x7 customer-facing systems.
- Hands-on experience delivering production infrastructure, platform tooling, and automation used by engineering teams.
- Strong software engineering skills in Python, Go, Java, or a similar language, with emphasis on production-quality code, testing, monitoring, and documentation.
- Experience with cloud infrastructure, container orchestration, Linux systems, networking, CI/CD, and infrastructure as code such as Terraform or CloudFormation.
- Experience building, tuning, and automating observability systems.
- Familiarity with SLOs, incident response, on-call practices, root cause analysis, and blameless postmortems.
- Practical experience or strong interest in AI solutions, AI providers, agents, AI APIs, provider integrations, or AI-assisted internal tools.
- Ability to troubleshoot AI tools and provider/API issues, including rate limits, quotas, authentication, permission errors, latency, SDK or API contract changes, content quality issues, and service degradations.
- Excellent communication skills and ability to work with stakeholders and domain experts across the company.
Benefits and Compensation
- This position is based out of the Tel Aviv office.
Skills
Python, Go, Java, Cloud Infrastructure, Kubernetes, Linux, Networking, CI/CD, Terraform, CloudFormation, Grafana, Prometheus, New Relic, Datadog, Splunk
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