Engineering Manager - DevOps & AI Platform
Elliptic helps businesses detect and prevent financial crime in crypto through blockchain analytics and compliance solutions.
Funding history
Investors
About Elliptic
Elliptic provides blockchain analytics tools for financial institutions, crypto businesses, and regulators to manage risk and investigate crime. Their platform enables real-time wallet screening, transaction monitoring, and cross-chain investigations to ensure regulatory compliance and prevent financial crime.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will lead the DevOps and AI Platform functions, developing approximately twelve engineers while owning hiring, coaching, levelling, and career development. You will define the DevOps strategy for release safety, developer experience, observability, cost, reliability, and scalability. You will also guide shared AI agent frameworks, MCP management, evaluation capabilities, and AI infrastructure. You will spread reusable practices across product groups, incorporate their feedback, partner with technical leaders on direction and delivery, apply a FinOps mindset to infrastructure spending, champion SRE practices, and support infrastructure and process readiness for ISO 27001 and SOC 2 certifications.
Requirements
- Demonstrate a track record of managing DevOps, platform, or infrastructure engineers, including hiring and building a growing team
- Possess sufficient cloud, infrastructure as code, CI/CD, and observability expertise to make strategic decisions and guide senior engineers
- Demonstrate practical curiosity and emerging hands-on experience with AI, agents, and evaluations
- Understand the nuances of the AI-assisted software development lifecycle, including adoption, practices, and guardrails
- Possess Kubernetes literacy grounded in hands-on engineering experience
- Demonstrate practical and responsible use of AI in an engineering context and the ability to establish team norms
- Experience leading or building an internal platform, machine learning platform, developer-experience, or enablement function is preferred
- Exposure to agent frameworks, MCP, or evaluation frameworks is preferred
- Experience working during a company scaling phase is preferred
- Knowledge of ISO 27001 or SOC 2 infrastructure and process requirements is preferred
- Experience with high-throughput, low-latency systems in a regulated or financial context is preferred
Responsibilities
- Lead, grow, and develop approximately twelve engineers across the DevOps and AI Platform functions
- Own hiring, levelling, coaching, and career development across both functions
- Set the DevOps strategy and operating model for release safety, developer experience, observability, cost, and scalability
- Lead the AI Platform function and its shared agent-building frameworks, patterns, MCP management, evaluation framework, and AI infrastructure
- Disseminate reusable AI agent practices to product teams and incorporate their feedback into shared approaches
- Partner with the AI Platform technical lead and senior engineers to shape technical direction and delivery
- Own infrastructure cost, scalability, and efficiency as transaction volume grows
- Champion SRE and reliability practices across the business
- Support infrastructure and process maturity for ISO 27001 and SOC 2 certifications in partnership with information security
Benefits
- Hybrid working
- Option to work from almost anywhere for up to 90 days per year
- £500 remote-working budget for a home office
- 25 days of annual leave plus bank holidays
- Extra day of leave for your birthday
- 16 weeks of fully paid parental leave for eligible employees
- Private health insurance through Bupa
- Full access to Spill mental health support
- Life assurance worth four times your salary
- Cycle to Work Scheme