At a Glance
- Tasks: Join us in revolutionising our DevOps environments with AI and cloud technologies.
- Company: Dynamic tech firm leading the charge in innovative trading solutions.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative team atmosphere with a focus on continuous improvement and innovation.
- Why this job: Be at the forefront of AI and cloud transformation in a fast-paced environment.
- Qualifications: Strong understanding of AI infrastructure and DevOps; experience with Azure and AWS.
Department Overview: 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 AI infrastructure and DevOps
- Experience with RAG pipelines, MLOps frameworks (Kubeflow, MLflow, Argo, Airflow), data pipelines and versioning
- Predictive operations tools (prophet, Dynatrace etc)
- AI tools integration, for example embedding LLMs APIs or agents in pipelines
- Very strong, AI-focused, Azure and AWS expertise
- Experience orchestrating GPU workloads
- Experience with Azure Foundry and Bedrock
- AI Automation: Experience building or using agents
- Experience integrating DevOps infrastructure with MCPs
- Terragrunt and Terraform
- Python
- Very good understanding of containerisation technologies
- Nice to have, but willing to learn otherwise:
- 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
- Artifact repository management (Nexus, Artifactory)
- 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, passionate about emerging technologies, and constantly improving their environment. The environment is fast moving with minimal process, so you’ll need to be comfortable supporting live systems, critical to the hedge funds operations, with minimal guardrails. 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 in London employer: BlueCrest Capital Management
BlueCrest is an exceptional employer, offering a dynamic and inclusive work environment that fosters innovation and collaboration. As an AI DevOps Engineer, you will be at the forefront of our technology modernisation journey, with ample opportunities for professional growth and development in a fast-paced setting. Our commitment to leveraging cutting-edge technologies and providing equal opportunities ensures that every team member can thrive and contribute meaningfully to our mission.
Contact Details:
BlueCrest Capital Management Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI DevOps Engineer in London
✨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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We think you need these skills to ace AI DevOps Engineer in London
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.
