Jobgether
Senior Site Reliability Engineer (Hardware Automation)

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Senior Site Reliability Engineer (Hardware Automation)
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Site Reliability Engineer (Hardware Automation) based in United Kingdom.
This is an exciting opportunity to build and operate the automation platforms that enable reliable, large-scale hardware infrastructure operations. In this role, you will develop tools and systems that reduce manual processes, improve operational visibility, and increase the reliability of critical infrastructure environments. Working as part of a product-focused engineering team, you will own solutions from initial design through deployment and long-term maintenance. You will collaborate closely with hardware engineers, data center operations teams, and infrastructure specialists to solve complex technical challenges. This position offers the chance to work with modern technologies, improve large-scale systems, and directly contribute to the evolution of AI infrastructure. If you enjoy automation, troubleshooting, and building resilient platforms, this role provides a high-impact environment for technical growth.
Accountabilities
- Build and maintain automation platforms and internal tooling that support large-scale hardware infrastructure operations.
- Develop solutions that eliminate manual processes, reduce operational risks, and improve visibility and control across infrastructure systems.
- Ensure high availability, fault tolerance, and reliable operation of critical services supporting hardware environments.
- Design, implement, and improve CI/CD processes to enable efficient and dependable software delivery.
- Troubleshoot complex infrastructure issues involving hardware, software, and networking components.
- Collaborate with hardware infrastructure teams, data center operations, and engineering stakeholders to gather requirements and deliver scalable solutions.
- Own the complete lifecycle of engineering projects, including design, development, deployment, monitoring, and ongoing reliability improvements.
- Continuously optimize system performance and operational workflows through automation and engineering best practices.
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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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
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.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
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.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Requirements
- Strong experience working with Linux-based systems and production infrastructure environments.
- Proficiency in Python and Bash scripting for automation, tooling, and system management.
- Demonstrated ability to diagnose and resolve complex technical issues across hardware, software, and networking layers.
- Strong analytical and problem-solving skills with a focus on improving reliability, scalability, and performance.
- Experience designing, developing, or operating reliable infrastructure services and automated systems.
- Good communication skills and professional working proficiency in English.
- Ability to collaborate effectively within international, cross-functional engineering teams.
- Experience with backend development or building high-load distributed systems is considered an advantage.
Benefits
- Competitive compensation package based on experience and expertise.
- Flexible working environment with a strong focus on autonomy and ownership.
- Opportunities for professional growth, continuous learning, and career development.
- Opportunity to contribute to impactful AI infrastructure projects.
- Collaborative and innovative international team culture.
- Exposure to challenging technical problems involving large-scale systems and automation.
- Environment built around trust, meaningful impact, and the opportunity to shape future technologies.


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How Jobgether Works
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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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