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Sr Lead Software Engineer - Go & RDF

JPMorgan Chase

Sr Lead Software Engineer - Go & RDF

JPMorgan Chase

GLASGOW, LANARKSHIRE, United Kingdom, GB

·

On-site

·

Full-time

·

2w ago

Join a high-performance agile team building industry-changing, world-class governance technology products.

As a Software Engineer at JPMorgan Chase within the Corporate Technology Office you will contribute to a high-performance agile team designing and delivering trusted, market-leading distributed technology products in a secure, reliable, and scalable way.

The Governance engineering team is working on the intersection of distributed systems, inference systems and agentic systems. The team has established a world-leading position in patented next-generation policy-driven distributed access management. Integration projects are complex and involve collaboration across multiple teams on different time schedules.

We’re looking for passionate engineers with broad exposure to multiple technologies, driven by the desire to learn, to understand, to invent, and to push boundaries.

We use scaled agile methodologies in our development practices. We believe that great software is developed through ongoing, thoughtful conversations about delivery against actual business and regulatory requirements, within a high-level framework which establishes a sound semantic model and long-lived APIs.

We work in a technically diverse ecosystem using a mixture of vendor products, open-source products, and custom in-house solutions. We define policy across information models expressed in RDF and UML, retrieve data via Graph and REST APIs, and deploy a reusable component across multiple points in the application flow, in both containerized and non-containerized patterns. We combine it all through a managed services layer.

Job responsibilities

  • Craft the tooling and process defining concept models

  • Decompose technical problems and build loosely coupled, highly cohesive solutions at the appropriate level of abstraction, with the ability to think beyond routine, conventional approaches.

  • Crafts secure, high-quality production code. Have an eye for detail and a passion for quality code.

  • Contribute to collaborative team culture of mutual respect and active leadership, and corresponding followership, from every member.

  • Learning mindset that contributes and explores new and emerging technologies.

Required qualifications, capabilities, and skills

  • Strong experience in working with information/data models

  • Strong software engineering fundamentals and programming skills

  • Demonstrated experience in Golang development and with distributed computing

Preferred qualifications, capabilities, and skills

  • Strong background in distributed systems, understanding the problems and know how to build consistent, reliable, scalable, and efficient systems.

  • Exposure to formal test methods, deterministic simulation testing, Satisfiability Modulo theories, Boolean Satisfiability

  • Experience with declarative model transformations or mappings – e.g. in a data pipeline

  • Exposure to RDF technologies such as SHACL or JSON-LD

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About JPMorgan Chase

JPMorgan Chase

JPMorgan Chase is a multinational investment bank and financial services company that provides banking, investment, and asset management services globally. It is one of the largest banks in the United States by assets and market capitalization.

300,000+

Employees

New York City

Headquarters

Reviews

4.2

10 reviews

Work Life Balance

4.2

Compensation

4.3

Culture

4.5

Career

4.4

Management

4.1

75%

Recommend to a Friend

Pros

Good pay and benefits

Work-life balance

Career advancement opportunities

Cons

Heavy workload at times

Career advancement takes time

Pay could be better in some roles

Salary Ranges

47 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analyst

21 reports

$126,500

total / year

Base

$110,000

Stock

-

Bonus

-

$95,450

$155,250

Interview Experience

4 interviews

Difficulty

2.8

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

HireVue Video Interview

3

Technical/Behavioral Assessment

4

Final Interview Round

5

Offer Decision

Common Questions

Behavioral/STAR

Technical Knowledge

Past Experience

Culture Fit

Case Study