--- title: 'AI DevOps Engineer at BlueCrest Capital Management' canonical: 'https://feeny.ai/job/ai-devops-engineer-bluecrest-capital-management-london-england-yyafrrtnx311' type: 'job' last_seen: '2026-09-11' --- # AI DevOps Engineer at BlueCrest Capital Management - **Company:** BlueCrest Capital Management - **Location:** London England, United Kingdom - **Posted:** 2026-08-25 - **Last confirmed live:** 2026-09-11 - **Apply:** https://job-boards.greenhouse.io/bluecrestcapitalmanagement/jobs/7972490003 ## Job description 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: Experience, 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 - Strong Python skills - 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 - 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 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. ## About BlueCrest Capital Management ## Company Overview - **One-liner**: BlueCrest Capital Management is a global alternative asset manager, originally focused on fixed income macro trading, that now manages significant institutional assets across diversified strategies, primarily for its partners and employees after closing to external investors. - **Entity Type**: Private (limited liability partnership) - **Headquarters**: London, United Kingdom (with offices in Geneva, Jersey, Dubai, New York, Miami, and Singapore) - **Founded**: 2000 - **Founders**: Michael Platt and William Reeves (now retired) ## Core Business - Primary industry: Investment & Asset Management (Hedge Funds) - Target customers: Institutional investors (historically); currently focused on managing internal capital (partners and employees) - Mission/purpose: Not publicly stated; the firm prioritizes partner-aligned investing and technology-driven trading. ## Products & Services - **Multi-Strategy Investment Funds**: BlueCrest manages internal funds across fixed income macro, systematic trading, rates, equity index volatility arbitrage, emerging markets, and other strategies. - **Private Wealth Services**: Select portfolio administration and wealth management offerings for a limited client base. - **Technology & Quantitative Platforms**: In-house development of trading infrastructure, AI/ML models, cloud platforms, and quantitative research tools to support proprietary trading. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed (private partnership) - **Key Metric**: At its peak in 2013, BlueCrest had US$35.3 billion in global assets under management. Annual revenue is estimated between $13.4 million (Apollo estimate) and $100–500 million (Glassdoor self-reported). The higher range is more credible given the scale of the firm. - **Notable Investors/Partners**: The firm is fully owned and controlled by its principals. No external institutional investors currently. - **Growth Signals**: Active hiring (10+ open roles as of mid-2026, +25% monthly job posting growth); increasing investment in AI/cloud engineering; expansion of technology stack (Python, Kubernetes, Azure, Snowflake, Hugging Face, OpenAI). ## Competitive Advantages - **Talent Concentration**: Deep bench of alumni from top investment banks (Goldman Sachs, Morgan Stanley, UBS, Citi, Deutsche Bank, etc.) – 70 former Goldman Sachs employees currently at BlueCrest. - **Proprietary Technology**: Heavy internal tech investment with 91+ tools in stack, including AI, ML, cloud-native infrastructure, and quantitative platforms. - **Partner-Governed Structure**: Principals control the firm, aligning incentives and enabling long-term, high-risk strategies without external investor pressure. - **Global Presence**: Offices across major financial hubs (London, New York, Singapore, Geneva, Jersey, Dubai, Miami) providing 24/7 trading and operational coverage. ## Strategic Focus - **AI Transformation**: BlueCrest is actively hiring for AI Integration Lead, AI Cloud Platform Engineer, and AI Adoption SME roles, signaling a push to embed machine learning and LLMs across trading, risk, and operations. - **Technology Modernization**: Moving to cloud-native infrastructure (Azure, Kubernetes, Snowflake) and modern UI frameworks (Angular, React). - **Internal Capital Growth**: After returning external capital in 2015–2016, the firm focuses on growing the internal fund for partners and employees. ## Why Work Here - **Culture**: Described as “friendly team, nice people” by some employees on Glassdoor. The firm emphasizes intellectual rigor and risk-taking in trading. - **Work Environment**: Hybrid/office-based in major financial centers. Offices in London (Victoria/Belgravia), New York, Singapore, etc. - **Benefits & Perks**: Positive reviews mention good benefits and lunch provided. Compensation is competitive (industry-standard for hedge funds). - **Engineering Culture**: Strong emphasis on quantitative development, AI/ML, and modern infrastructure. Developers work directly with traders and quants. - **Glassdoor Ratings**: 3.0 out of 5 stars (based on 130 reviews); 46% would recommend to a friend; 52% approve of CEO. Reviews are mixed – some cite average interview difficulty (3/5) and decent work/life balance. ## Sources 1. [Greenhouse Jobs Page](https://job-boards.greenhouse.io/bluecrestcapitalmanagement) 2. [Apollo.io Company Profile](https://apollo.io) – revenue/employee data (note: may contain inaccuracies) 3. [LinkedIn Company Page](https://uk.linkedin.com/company/bluecrest-capital-management-llp) 4. [Glassdoor Overview](https://www.glassdoor.com/Overview/Working-at-BlueCrest-Capital-Management-EI_IE305621.11,39.htm) 5. [FCA Final Notice – BlueCrest Capital Management (UK) LLP (Oct 2025)](https://www.fca.org.uk/publication/final-notices/bluecrest-capital-management-2025.pdf) 6. 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