AIOps & Automation Lead
| Company: | Government Recruitment Service |
|---|---|
| Salary: | £57,367 to £57,367 a year |
| Hours: | Full-time |
| Location: | Ipswich |
| Job type: | Permanent |
| Posting date: | 15 Sept 2026 |
| Closing date: | 23 Sept 2026 |
Summary
We have an exciting opportunity to join the Insolvency Service as a AIOps & Automation Lead within our Corporate and Operational Services Team. This role offers the chance to make a meaningful contribution to the delivery of key services that support individuals, businesses and the wider economy. Working alongside a range of internal and external stakeholders, you will play an important role in delivering high-quality outcomes, driving continuous improvement, and helping the organisation achieve its strategic objectives. This is an excellent opportunity for someone who enjoys working in a collaborative environment, taking ownership of their work, and making a positive impact through their expertise and innovative thinking.
The Insolvency Service is a leading government agency which plays a crucial role in providing essential services to the public and to business. The work we do is important to the proper functioning of markets, the economy in general and support for thousands of people each year who are in financial difficulty.
Inclusive and diverse teams are important to us. We welcome and encourage applications from everyone, including groups underrepresented in our workforce. The Insolvency Service strives to ensure that the agency is a safe, inclusive, and welcoming place for everybody to bring their true self to work and to help the agency to achieve its diversity objectives. We have 9 active employee network groups available to join or become an ally, these include, Carers Network, Disability network group, Employee Assistance, Representatives, FACES Network Group, LGBT+, Mind Matters, Part Time Workers, The Shed - Men’s Network Group and Women’s Network Group.
We offer full-time, part-time, job share and flexible ways of working. We value capability, technical skills and experience and we place great emphasis on lifetime development to support our people. We encourage our employees to become more involved in areas they feel strongly about, whether it be for the benefit of the agency, through our Engagement network or in their own local communities via volunteering opportunities.
The Insolvency Service is a great place to work, learn and grow your career!
This role sits within the Technology & Data team, within Corporate & Operations Services. As AIOps & Automation Lead you will be responsible for defining, implementing, and managing the Agency’s AIOps strategy to deliver predictive, automated, and intelligent operations across cloud and infrastructure environments.
You will work with colleagues across Technology, finance, and operational teams to introduce tools and processes that spot problems early, respond to issues automatically, and reduce manual effort. This helps the organisation meet its service standards, run more efficiently, and manage its IT systems more proactively.
The role ensures observability, telemetry, and automated response processes are in place to support business SLAs, improve operational efficiency, and enable proactive management of IT systems.
Responsibilities
- lead deployment, tuning, and ongoing management of AIOps platform
- implement observability, monitoring, and alerting across cloud and infrastructure environments
- develop predictive analytics to anticipate incidents, capacity constraints, and performance issues
- automate incident response, performance management, and routine operational tasks
Collaboration & Integration
- work with Deputy Head and Architecture teams to integrate automation into enterprise systems
- partner with FinOps to provide actionable insights for cost-efficient infrastructure use
- collaborate with outsourced BAU teams to ensure smooth operational handover and knowledge transfer
Reporting & Governance
- maintain dashboards, metrics, and documentation for leadership and governance purposes
- track KPIs to measure automation coverage, predictive alerting effectiveness, and operational efficiency improvements
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