Senior Lead Infrastructure Engineer - Market Data - AWS / Snowflake in London

Senior Lead Infrastructure Engineer - Market Data - AWS / Snowflake in London

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Jpmorgan Chase & Co.

At a Glance

  • Tasks: Design and maintain critical data systems using AWS and Snowflake in a collaborative Agile environment.
  • Company: Join JPMorgan Chase, a world-renowned company shaping the future of finance.
  • Benefits: Competitive salary, career growth, and the chance to work with cutting-edge technology.
  • Other info: Dynamic team culture with opportunities for innovation and professional development.
  • Why this job: Make a meaningful impact on data distribution systems that drive business success.
  • Qualifications: Experience in cloud technologies, AI capabilities, and strong problem-solving skills required.

The predicted salary is between 60000 - 80000 £ per year.

Become a member of a team where you can contribute significantly to shaping the future of a world-renowned and influential company. Among top performers, you can make a direct and meaningful impact. As a Lead Engineer at JPMorgan Chase within our Market Data Services team you will play a pivotal role in designing, delivering and maintaining critical data distribution systems within the firm. These systems encompass both on-premises and cloud based infrastructure to deliver third party data to multiple lines of business.

You will be working within an Agile project environment collaborating closely with cross-functional teams to deliver high-quality solutions to our clients.

Job Responsibilities

  • Applies deep technical expertise and problem-solving methodologies focused on analyzing complex data and systems, anticipating issues, considering upstream and downstream implications, and advising on mitigation actions.
  • Uses enterprise-authorized AI capabilities within the work environment to accelerate analysis of complex infrastructure signals and documentation of mitigation options, validating outputs and handling operational data according to sensitivity and security requirements.
  • Designing and maintaining critical data delivery systems - encompassing both realtime data, historical data and AI/ML use-cases.
  • Collaboration with product owners and stakeholders to ensure data solutions align with business and regulatory requirements.
  • Capable of finding a balance between best of breed and cost effective solutions.
  • Act as a positive team player who is capable of accepting different intellectual points of view.
  • Clear and concise communicator; ability to present to senior management.
  • Ability to analyze and articulate problems and provide input into solutions.
  • Provide 3rd level support to operational roles.
  • A respect for strong process and control management disciplines.
  • Leads reuse-first adoption of AI-assisted practices across delivery and automation routines to reduce recurring issues, ensuring changes are validated, traceable and auditable, and aligned to resiliency and security expectations.

Required qualifications, capabilities, and skills

  • Formal training or certification on infrastructure engineering concepts and advanced applied experience in Cloud technologies including Kubernetes, Terraform and AWS.
  • Data Lake technologies (e.g. Snowflake, Databricks, AWS Glue/Athena, Lake Formation).
  • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support 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 to resiliency, security, and auditability expectations.
  • Network architecture and protocols.
  • Programming languages (e.g. Java, Python, C++).
  • Market Data / messaging products (e.g. TREP, Vela, RedLine, Bloomberg BPIPE, Solace, AMPS, etc.).
  • Market Data vendors and their key products (e.g. Bloomberg, LSEG, Factset, S&P).
  • Database technologies and SQL scripting.
  • Monitoring tools (ITRS Geneos, Dynatrace, Datadog).

Senior Lead Infrastructure Engineer - Market Data - AWS / Snowflake in London employer: Jpmorgan Chase & Co.

At JPMorgan Chase, we pride ourselves on fostering a dynamic and inclusive work environment where innovation thrives. As a Senior Lead Infrastructure Engineer, you will not only have the opportunity to work with cutting-edge technologies like AWS and Snowflake but also benefit from our commitment to employee growth through continuous learning and collaboration within Agile teams. Our culture encourages diverse perspectives and values your contributions, making it an ideal place for those seeking meaningful and impactful careers in the financial services sector.

Jpmorgan Chase & Co.

Contact Details:

Jpmorgan Chase & Co. Recruitment Team

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We think you need these skills to ace Senior Lead Infrastructure Engineer - Market Data - AWS / Snowflake in London

Cloud Technologies
Kubernetes
Terraform
AWS
Data Lake Technologies
Snowflake
Databricks

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