Engineer III - AI Powered SRE (UK Shift Timing)

Job Summary

Engineer III to the TechOps SRE team with a focus on AI agent development and intelligent automation. We're looking for a technically curious, hands-on engineer who is eager to eliminate operational toil through the development and deployment of AI-driven automation systems. In this role, you will contribute to building intelligent agents capable of reasoning, decision-making, and self-healing across our large-scale, mission-critical distributed infrastructure, working alongside senior engineers and architects to grow your impact over time.

If youre excited about the intersection of AI and infrastructure and want to build the next generation of autonomous operations tooling, lets talk.

What You'll Do:

• Contribute to the design and development of AI agents that autonomously detect, diagnose, and remediate operational issues across bare metal servers and virtual machines, helping reduce repetitive human toil
• Identify and help eliminate TOIL by documenting manual operational workflows and contributing to intelligent, event-driven automation pipelines powered by LLMs and agentic frameworks (e.g., LangChain, AutoGen, CrewAI, or custom-built solutions)
• Build and maintain agentic workflows that integrate with monitoring and telemetry stacks (ELK, Prometheus, Grafana) to support anomaly detection, incident analysis, and incident response
• Support AI-assisted incident response systems by contributing to tooling that correlates signals across distributed systems and generates remediation recommendations
• Support operational aspects of our platform including Availability, Latency, Throughput, Monitoring, and Issue Response, with a focus on automating routine tasks
• Assist in instrumenting and evaluating agent performance, helping establish feedback loops that improve agent accuracy and reliability over time
• Participate in incident analysis for operational events, leveraging AI tooling to help accelerate resolution and contribute to post-incident reviews
• Collaborate with a globally distributed team of engineers to learn best practices, contribute to shared automation solutions, and grow your technical expertise
• Gather and analyze metrics from operating systems and applications to help feed AI models and agents with high-quality signals for performance tuning and predictive operations
• Write and maintain technical documentation for automation systems, agent workflows, and operational runbooks

What You'll Need:

• Bachelors degree and/or equivalent experience in Computer Science, Engineering, or a related field
• 5+ years of experience in software engineering, with exposure to systems and infrastructure concepts
• 5+ years of hands-on experience in one or more of: Python, Go, Java, C++, with Python strongly preferred for AI/ML and agent development
• Foundational experience or strong interest in building AI agents or LLM-powered automation, including prompt engineering, tool/function calling, and retrieval-augmented generation (RAG)
• Familiarity with agentic frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, or equivalent
• Exposure to integrating automation with operational tooling such as ticketing systems, monitoring platforms, or CI/CD pipelines
• Working knowledge of Linux engineering and administration
• Familiarity with infrastructure technologies such as Linux, VMware, Docker, Kubernetes, or related platforms
• Familiarity with modern monitoring and telemetry stacks such as ELK, Prometheus, or Grafana
• Familiarity with configuration management tools such as Puppet, Chef, Ansible, or equivalent
• Solid understanding of software engineering fundamentals and a desire to learn distributed systems concepts
• Solid understanding of Kubernetes
• Strong analytical and problem-solving skills with a sense of ownership and curiosity
• Ability to communicate clearly and collaborate effectively in a diverse, globally distributed, team-focused environment
• Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.

Bonus Points:

• Experience with MLOps or AI observability tooling (e.g., LangSmith, Weights Biases, Arize)
• Prior exposure to SRE, Platform Engineering, or DevOps practices and workflows
• Experience contributing to self-healing infrastructure or autonomous remediation projects
• Contributions to open-source AI or SRE tooling

Why This Role:

Operational toil is the enemy of innovation. In this role, youll have the opportunity to grow alongside a team that is fundamentally changing how SRE operates at CrowdStrike, replacing manual, repetitive work with intelligent systems that learn, adapt, and act. Youll be at the intersection of AI and infrastructure at one of the most impactful cybersecurity companies in the world, with senior engineers and architects invested in your development.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.