Senior Lead Software Engineer API Management Platform DevOps

JPMorganChase
London
11 months ago
Applications closed

Related Jobs

View all jobs

Senior AI/Machine Learning Engineer

Senior Lead Analyst - Data Science_ AI/ML & Gen AI

Senior Lead Analyst - Data Science - Machine Learning & Gen AI - UK

Senior ML Engineer - Production ML & MLOps Lead

Lead Software Engineer (Machine Learning)

Senior Software Engineer - MLOps

Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.

As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank specifically in the Payments Technology division your role will be pivotal in an agile team. You will be responsible for the enhancement creation and delivery of highquality technology products in a secure stable and scalable manner. As a significant technical contributor your tasks will include developing essential technology solutions across multiple technical domains within various business functions all to support the firms business goals.

Job responsibilities

  • Executes creative software solutions design development and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Develops secure highquality production code and reviews and debugs code written by others
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leads evaluation sessions with external vendors startups and internal teams to drive outcomesoriented probing of architectural designs technical credentials and applicability for use within existing systems and information architecture
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leadingedge technologies
  • Adds to team culture of diversity equity inclusion and respect
  • Expand the capabilities and adoption of the modern API gateway for external and internal Payments Web APIs
  • Pay high attention to nonfunctional requirements to ensure stability security and scalability of the API infrastructure
  • Actively participates in highly energy global agile team

Required qualifications capabilities and skills

  • Formal training or certification on API Management Platform concepts and proficient advanced experience
  • Handson practical experience delivering system design application development testing and operational stability
  • Advanced in one or more programming language(s)
  • Proficiency in automation and continuous delivery methods
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD Application Resiliency and Security
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g. cloud artificial intelligence machine learning mobile etc.
  • Indepth knowledge of the financial services industry and their IT systems
  • Practical cloud native experience
  • Professional experience in API management technology e.g APIGEE Kong Mulesoft
  • Strong understand of OpenAPI Specification (OAS) for RESTful APIs
Preferred qualifications capabilities and skills
  • AWS (ECS EKS MKS)
  • Kong API Gateway
  • Experience with Performance and Soak Testing
  • Golang programming language
  • Lua programming language



Required Experience:

Senior IC


Key Skills
Spring,.NET,C/C++,Go,React,OOP,C#,AWS,Data Structures,Software Development,Java,Distributed Systems
Employment Type :Full-Time
Experience:years
Vacancy:1

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.