StarCompliance
Engineering Team Leader

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Role
Reporting to the Director of Engineering, the Engineering Team Lead is accountable for the leadership, technical direction, and end-to-end delivery of an engineering team responsible for key components of the StarCompliance Enterprise SaaS platform.
This role combines strong technical leadership with people management and delivery accountability. Success is achieved through the capability and output of the team, while maintaining sufficient technical depth to guide design, challenge decisions, and support complex engineering work.
You will own the full lifecycle of the software and services within your team's domain, from design and development through deployment, operation, modernisation, and continuous improvement.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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StarCompliance is moving towards an AI-first, agentic software development model. You will lead this transition within your team, establishing ways of working where engineers and AI agents collaborate effectively across the software development lifecycle.
How We Think About AI
AI is a foundational part of modern software engineering at StarCompliance.
We expect Engineering Team Leads to:
- Embed AI-assisted and agentic development into everyday engineering workflows.
- Enable appropriate engineering tasks to be safely delegated to AI agents.
- Ensure AI-generated changes are tested, validated, secure, and auditable.
- Use AI to improve delivery speed, quality, automation, and engineering capacity.
- Continuously adopt new AI capabilities where they provide measurable value.


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AI-generated output remains engineering output, and teams remain accountable for everything they deliver.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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