At a Glance
- Tasks: Join our team to innovate and automate AI-driven DevOps environments.
- Company: Dynamic tech firm leading in AI and cloud technology.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Fast-paced environment with a focus on collaboration and continuous improvement.
- Why this job: Be at the forefront of technology transformation and make a real impact.
- Qualifications: Strong understanding of AIOps, DevOps, and cloud services; eager to learn.
The predicted salary is between 63000 - 77000 £ per year.
Our Technology Infrastructure team operates globally and is responsible for every aspect of the firm's hybrid platform. This ranges from our EUC/Office environments to Trading and Core service Co-Location Data Centres, and extends to Public Cloud, delivering top-tier technology services to a dynamic and demanding Trading organisation.
In addition to meeting the round-the-clock operational demands of the platforms, we continuously evolve and transform our platforms to maintain a competitive edge that our business requires. We innovate to provide valuable solutions and leverage our skilled Technology teams to deliver against rapidly changing business requirements.
Role Overview: The AI DevOps Engineer is a very technical, hands‑on role, responsible for end to end delivery and operations of our DevOps environments. They will be joining the team as we lead an ambitious technology modernisation journey, moving to greater adoption of AI, microservices and public cloud. We’re continuing to evolve our global infrastructure - spanning multiple global data centres - into a modern hybrid architecture that leverages both existing on‑prem and multi‑cloud environments and capabilities across Azure and AWS.
Over the past four years, we’ve modernised our core trading systems and introduced a range of key technologies including AI, Kubernetes, Kafka, ELK, Prometheus, and more. As we expand and enhance the platforms, our focus is on automating and standardising to ensure consistency, scalability and reliability across all environments.
Experiences and Skills Required:
- Must have:
- Very good understanding of AIOps and DevOps: AgentOps/DataOps frameworks (e.g. LangGraph, Dagster) and OpenTelemetry Predictive operations tools (e.g. Prophet, Dynatrace)
- AI tool integration, including embedding LLM APIs and agents into pipelines
- Strong expertise across Azure and AWS, with a solid understanding of AI-native services
- Experience with Azure AI Foundry and Amazon Bedrock
- Cloud automation experience
- AI Automation: Experience building and deploying AI agents
- Infrastructure as Code (IaC): Experience with Terragrunt, Terraform, and Ansible
- Excellent understanding of containerisation technologies, ideally Kubernetes
- Experience with GitHub Actions
- Delivery‑focused mindset, with priorities aligned to business needs.
- Nice to have, but willing to learn otherwise:
- Experience integrating DevOps infrastructure with MCPs
- Experience with infrastructure testing frameworks (Terratest, Terraform Test, Molecule, JUnit, pytest)
- Kubernetes engineering and support across on-prem, VMware, AKS and EKS environments
- Linux and Windows administration and network automation
- Java and/or C# troubleshooting capability
- CI/CD experience with GitHub Actions and/or TeamCity
- Observability, monitoring and tracing (OpenTelemetry, Prometheus, ELK, Tempo, Jaeger)
- Platform engineering on Azure and/or AWS
- Data platform experience (Kafka, Redis)
- Chaos engineering and resilience testing (Gremlin, LitmusChaos)
About You: We’re looking for a very strong individual contributor who is passionate about emerging technologies. You’ll need to be comfortable working in a very dynamic, fast‑paced environment. Enabling the business is our number one priority – this means working on any part of the delivery stack, from routine o/s IaC, to documentation, instrumentation all the way to automating work through Python microservices or LangChain based agents.
You should be passionate about AI and other emerging technology trends, innovations and directions, and eager to suggest and implement new solutions to enhance our technology performance. You should also understand the need for rapid delivery while appreciating business risk and constraints to ensure adherence to service levels.
The candidate should have extensive experience working both independently and as part of a diverse team, meeting both broad and specific project/BAU objectives. This role requires excellent organisational skills, open communication, and a collaborative approach. Your commitment to continuous improvement should be evident, both in learning from others and sharing knowledge to enhance our team's capability and function.
BlueCrest is committed to providing an inclusive environment for its workforce. As an employer, we provide equal opportunities to all people regardless of their gender, marital or civil partnership status, race, religion or ethnicity, disability, age, sexual orientation or nationality.
AI DevOps Engineer employer: BlueCrest Capital Management
BlueCrest Capital Management is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the rapidly evolving field of AI and DevOps. With a strong commitment to employee growth, you will have access to cutting-edge technologies and training opportunities, all while working in a hybrid environment that promotes work-life balance. Join us in our global data centres and be part of a team that values your contributions and supports your professional development.
Contact Details:
BlueCrest Capital Management Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI DevOps Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at BlueCrest Capital Management or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
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Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like BlueCrest Capital Management that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI DevOps Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at BlueCrest Capital Management.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at BlueCrest Capital Management and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at BlueCrest Capital Management
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If BlueCrest Capital Management uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
