Senior Lead Infrastructure Engineer - Market Data

Salary: £62,000 - 102,000 per year

Requirements:

• Formal training or certification in infrastructure engineering concepts with advanced applied experience in cloud technologies, including Kubernetes, Terraform, and AWS
• Experience with data lake technologies such as Snowflake, Databricks, AWS Glue/Athena, and Lake Formation
• Demonstrated experience using enterprise-authorized AI capabilities in infrastructure engineering workflows, with strong validation habits and awareness of data sensitivity
• Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align with resiliency, security, and auditability expectations
• Knowledge of network architecture and protocols
• Proficiency in programming languages such as Java, Python, or C++
• Experience with market data and messaging products such as TREP, Vela, RedLine, Bloomberg BPIPE, Solace, and AMPS
• Knowledge of market data vendors and their key products, including Bloomberg, LSEG, Factset, and S&P
• Experience with database technologies and SQL scripting
• Experience with monitoring tools such as ITRS Geneos, Dynatrace, or Datadog

Responsibilities:

• Apply deep technical expertise and problem-solving methodologies to analyze complex data and systems, anticipate issues, and advise on mitigation actions
• Use enterprise-authorized AI capabilities to accelerate analysis of complex infrastructure signals and document mitigation options, validating outputs and handling operational data according to sensitivity and security requirements
• Design and maintain critical data delivery systems, including real-time data, historical data, and AI/ML use cases
• Collaborate with product owners and stakeholders to ensure data solutions align with business and regulatory requirements
• Balance best-of-breed solutions with cost-effective approaches
• Act as a positive team player who can accept different intellectual points of view
• Communicate clearly and concisely, including presenting to senior management
• Analyze and articulate problems and provide input into solutions
• Provide 3rd level support to operational roles
• Maintain strong process and control management disciplines
• Lead reuse-first adoption of AI-assisted practices across delivery and automation routines to reduce recurring issues, ensuring changes are validated, traceable, auditable, and aligned to resiliency and security expectations

Technologies:

• AI
• AWS
• AWS Glue
• Cloud
• Databricks
• Dynatrace
• Support
• Java
• Kubernetes
• Network
• Python
• SQL
• Security
• Snowflake
• Terraform
• Datadog
• DevOps

More:

We are J.P. Morgan Chase, a global leader in financial services and part of the Commercial & Investment Bank, serving corporations, governments, institutions, wealthy individuals, and investors in more than 100 countries. Our Market Data Services team plays a pivotal role in designing, delivering, and maintaining critical data distribution systems across on-premises and cloud infrastructure to support multiple lines of business. We offer a collaborative Agile environment where you can work closely with cross-functional teams, contribute meaningfully to major initiatives, and help shape the future of a world-renowned company. We are committed to diversity, inclusion, and equal opportunity, and we value the strength that our people bring to our global workforce.

last updated 34 week of 2026