Enable job alerts via email!

Lead Software Engineering - Test Engineer

ZipRecruiter

England

On-site

GBP 80,000 - 120,000

Full time

5 days ago
Be an early applicant

Job summary

A leading global financial services firm is seeking a Lead Software Engineer to join their AI/ML Data Platform team. In this role, you will design high-performance tools for validating ML data pipelines, develop automation frameworks, and enhance platform resilience. The ideal candidate has over 8 years of software development experience, expertise in Python, and a strong understanding of CI/CD practices and AWS services. This position supports a collaborative environment focused on quality engineering.

Qualifications

  • 8+ years of hands-on software development experience.
  • Expert in Python and advanced object-oriented programming knowledge.
  • Solid experience with AWS services including Lambda, S3, and ECS/EKS.

Responsibilities

  • Design and build tools to validate ML data pipelines.
  • Develop automation frameworks using Python and Terraform.
  • Lead initiatives to enhance platform resilience and validation.

Skills

Python
Infrastructure as Code
Automation
CI/CD Systems
AWS Services

Education

Formal training or certification in Computer Science

Tools

Terraform
GitHub Actions
Jenkins

Job description

Job Description

Job Description

As a Lead Software Engineer at JPMorgan Chase within the AI/ML Data Platform team, you will play a pivotal role in promoting the Test Engineering Program. This strategic initiative focuses on building robust, intelligent validation frameworks and infrastructure that power our ML and data products. You will architect and develop tools, services, and automation that elevate platform assurance across large-scale distributed systems, collaborating with engineering, MLOps, and infrastructure teams to embed quality engineering deeply into platform components.

Job responsibilities

  1. Design and build high-performance tools and services to validate the reliability, performance, and correctness of ML data pipelines and AI infrastructure.
  2. Develop platform-level test solutions and automation frameworks using Python, Terraform, and modern cloud practices.
  3. Contribute to the platform's CI/CD pipeline by integrating automated testing, resilience checks, and observability hooks at every stage.
  4. Lead initiatives that drive testability, platform resilience, and validation as code across all layers of the ML platform stack.
  5. Collaborate with engineering, MLOps, and infrastructure teams to embed quality engineering deeply into platform components.
  6. Build reusable components that support scalability, modularity, and self-service quality tooling.
  7. Mentor junior engineers and influence technical standards across the Test Engineering Program.

Required qualifications, capabilities, and skills

  • Formal training or certification in Computer Science concepts and proficient advanced experience.
  • 8+ years of hands-on software development experience, including large-scale backend systems or platform engineering.
  • Expert in Python with a strong understanding of object-oriented programming, testing frameworks, and automation libraries.
  • Experience building or validating platform infrastructure, with hands-on knowledge of CI/CD systems, GitHub Actions, Jenkins, or similar tools.
  • Solid experience with AWS services (Lambda, S3, ECS/EKS, Step Functions, CloudWatch).
  • Proficient in Infrastructure as Code using Terraform to manage and provision cloud infrastructure.
  • Strong understanding of software engineering best practices: code quality, reliability, performance optimization, and observability.

Additional qualifications, capabilities, and skills

  • Exposure to machine learning workflows, model lifecycle management, or data engineering platforms.
  • Experience with distributed systems, event-driven architectures (e.g., Kafka), and big data platforms (e.g., Spark, Databricks).
  • Familiarity with banking or financial domain use cases, including data governance and compliance-focused development.
  • Knowledge of platform security, monitoring, and resilient architecture patterns.

About Us

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals, and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on protected attributes, including race, color, religion, sex, national origin, age, disability, or veteran status. We also make reasonable accommodations for applicants' and employees' practices and beliefs, as well as mental health or physical needs. Visit our FAQs for more information about requesting an accommodation.

About The Team

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services, and payments. Corporations, governments, and institutions worldwide entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk, and extends liquidity in markets around the world.

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.

Similar jobs