At a Glance
- Tasks: Build AI-driven operations and automation tools from scratch in a dynamic environment.
- Company: Join Era4, a mission-driven start-up transforming energy sites into modern data centres.
- Benefits: Enjoy competitive pay, hybrid work, and opportunities for personal and professional growth.
- Other info: Be part of a diverse team committed to innovation and operational excellence.
- Why this job: Make a real impact on national infrastructure while working with cutting-edge technology.
- Qualifications: Strong Python skills and experience with observability platforms are essential.
The predicted salary is between 60000 - 80000 ÂŁ per year.
Era4 develops, owns and operates AI infrastructure across the UK, powered by renewable energy. Converting legacy industrial and energy sites into modern data‑centre facilities, Era4 is combining brownfield regeneration opportunities with cleaner, efficient, scalable compute capacity for healthcare, research, finance, enterprise, and public‑sector organisations.
This is a greenfield role, building a modern Agentic approach to Client and Infrastructure Operations.
Role Summary: We are seeking Automation & AIOps Engineers who sit at the intersection of Site Reliability Engineering and modern AI‑driven operations. Embedded within Era4's engineering‑led Operations Centre, this role exists to build a modern AI Platform Operations function from scratch, designing tooling, and agentic workflows. No legacy to deal with.
Runbook Automation & Agent Development:
- Build agentic, executable workflows capable of triaging, diagnosing, and where appropriate autonomously remediating known failure patterns.
- Build and maintain LLM‑backed agents targeting the observability stack, ITSM platform, and infrastructure APIs (e.g. DCIM, IPAM, hypervisor layers).
- Develop auditable Client‑focused automations, for Client interactions and workflows, with appropriate controls.
- Develop safe, auditable automation with appropriate controls for higher‑risk platform actions.
Operational Tooling & Self‑Service Enablement:
- Build internal tooling that empowers engineers and service desk analysts: CLI utilities, ChatOps integrations (Slack/Teams bots), status dashboards, and self‑service automation hooks.
- Reduce dependency on DevSecOps and engineering teams for routine operational tasks through automation.
- Maintain and contribute a library of automation assets, agent prompts, and runbook‑as‑code artefacts, version‑controlled and peer‑reviewed.
- Develop the automation layer around monitoring and event management: alert suppression logic, enrichment pipelines, correlation rules, and alert‑to‑ticket integrations.
- Continuously tune signal‑to‑noise ratios across monitoring tooling (Prometheus, Mimir, Grafana, or equivalent) to improve situational awareness.
- Design and implement event correlation and deduplication logic to reduce alert storms and improve incident context.
- Identify common Operational patterns and tasks as candidates for automation; maintain and prioritise a toil reduction backlog.
- Participate in post‑incident reviews and translate findings into updated automation, runbooks, or agent logic.
- Contribute to the evolution of Era4's operational standards, tooling architecture, and agent framework.
Technical – Core Element:
- Strong Python development skills, including scripting for automation, API integration, and data processing.
- Hands‑on experience with observability and monitoring platforms: Prometheus, Grafana, Mimir, or equivalent.
- Experience integrating with ITSM platforms (ServiceNow, Halo, Jira Service Management, or similar) via API.
- Solid understanding of event‑driven architectures, message queues, and webhook‑based automation patterns.
- Strong understanding of managing GPU infrastructure in production, key signals and metrics and the automation of workflows.
- Familiarity with Infrastructure‑as‑Code principles and cloud‑native environments (Kubernetes, Terraform, or similar).
Technical – Agent & AI:
- Demonstrable experience building LLM‑powered agents or automation using frameworks such as LangChain, LlamaIndex, the Anthropic SDK, OpenAI function calling, or comparable tooling.
- Understanding of agentic design patterns: tool use, structured output, human‑in‑the‑loop controls, and chain‑of‑thought reasoning for operational tasks.
- Comfort operating in an API‑first environment, integrating agents with infrastructure APIs, DCIM, IPAM, and hypervisor control planes.
Operational:
- Prior experience in an SRE, Senior Operations, or Platform Engineering environment, with exposure to on‑call operations and incident management processes.
- Experience in converting narrative runbooks into executable automation or codified decision trees.
- Understanding of ITIL‑aligned incident and change management principles and ITSM tooling.
One or more would be an advantage:
- Exposure to data centre or colocation operations, particularly high‑density compute or GPU infrastructure environments.
- Experience with ChatOps tooling: building Slack or Microsoft Teams bots for operational workflows.
- Familiarity with DCIM platforms and telemetry pipelines (power, thermal, network).
- Knowledge of OpenTelemetry, distributed tracing, or log aggregation platforms (Loki, ELK, Splunk).
- Contributions to open‑source observability or automation tooling.
- Experience in a start‑up or scale‑up environment where tooling is built from scratch.
Why Join Era4: You’ll be joining a mission‑driven start‑up building critical national infrastructure, where operational excellence directly enables growth. This role offers high visibility with leadership, real autonomy, and the chance to shape how a next‑generation company operates at scale.
Diversity & Inclusion: Era4 is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Executive & Operations United Kingdom - Hybrid (Occasional visit to London office)
SRE / AIOps Engineer employer: Era4
Contact Detail:
Era4 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SRE / AIOps Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with Era4 employees on LinkedIn. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to automation and AI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by diving deep into Era4’s mission and values. Understand their tech stack and think about how your experience aligns with their goals. Tailor your answers to show you’re not just a fit for the role, but for the company culture too!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Era4 team. Let’s get you that dream job!
We think you need these skills to ace SRE / AIOps Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the SRE/AIOps Engineer role. Highlight your Python development skills, automation experience, and any relevant projects you've worked on. We want to see how you can contribute to building our AI Platform Operations function!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your personality and passion for the role. Explain why you're excited about working at Era4 and how your background aligns with our mission of building critical national infrastructure. Keep it engaging and authentic!
Showcase Your Projects: If you've worked on any relevant projects, especially those involving automation or AI-driven operations, make sure to mention them. We love seeing practical examples of your work, so include links to GitHub repos or any live demos if possible!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're keen on joining our team at Era4. Don’t miss out on this opportunity!
How to prepare for a job interview at Era4
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, observability tools like Prometheus and Grafana, and automation frameworks. Brush up on your experience with APIs and cloud-native environments, as these will likely come up during technical discussions.
✨Showcase Your Automation Skills
Prepare to discuss specific examples of how you've built automation or LLM-powered agents in previous roles. Be ready to explain your thought process behind designing workflows and how you’ve tackled operational challenges through automation. This is a greenfield role, so demonstrating your innovative approach will be key.
✨Understand the Company’s Mission
Era4 is focused on building AI infrastructure powered by renewable energy. Familiarise yourself with their mission and values, and think about how your skills can contribute to their goals. Showing genuine interest in their work will set you apart from other candidates.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios, particularly around incident management and automation. Think of past experiences where you had to triage issues or improve operational efficiency, and be ready to share those stories in detail.