Senior Lead Infrastructure Engineer – Cloud, Data Delivery & AI

Fairygodboss; Greater London; On-site; GBP 90,000 - 140,000; Full time

Job summary

J.P. Morgan is seeking a Lead Engineer to design, deliver and maintain critical data distribution systems across on-premises and cloud infrastructure within Market Data Services.

You will work in an Agile environment with cross-functional teams to provide reliable, scalable data solutions and to adopt AI-assisted practices while ensuring resiliency, security and auditability. This role demands deep technical expertise in data engineering, cloud technologies, and market data products, with strong

Qualifications

• Formal training or certification on infrastructure engineering concepts and advanced cloud technologies.
• Experience using enterprise-authorized AI capabilities to support infrastructure engineering workflows with strong validation habits.
• Knowledge of market data vendors and their key products, and data security considerations.

Responsibilities

• Applies deep technical expertise to analyze complex data and systems, anticipate issues, and advise on mitigations.
• Uses AI capabilities to accelerate analysis of infrastructure signals and document mitigation options.
• Designs and maintains critical data delivery systems for real-time and historical data and AI/ML use-cases.
• Collaborates with product owners and stakeholders to ensure data solutions meet business and regulatory requirements.
• Leads reuse-first adoption of AI-assisted practices to improve delivery, with validated, auditable changes.

Skills

Kubernetes

Terraform

AWS

Data Lake

Snowflake

Databricks

AI validation

Java/Python/C++

Tools

SQL

Bloomberg BPIPE

TREP/Vela

Datadog

Job description

J.P. Morgan is seeking a Lead Engineer to design, deliver and maintain critical data distribution systems across on-premises and cloud infrastructure within Market Data Services.

You will work in an Agile environment with cross-functional teams to provide reliable, scalable data solutions and to adopt AI-assisted practices while ensuring resiliency, security and auditability. This role demands deep technical expertise in data engineering, cloud technologies, and market data products, with strong