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Jobshare Software engineer Assoc - Jobshare/Part - time

JPMorgan

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This role on the market

4 open jobshare roles across 1 companies are on ApplySarthi right now.

What jobshare roles keep asking for: Agile (25%), C# (25%), C++ (25%), CI/CD (25%), Go (25%), Java (25%), LLMs (25%), Machine learning (25%) — counted across their open postings here.

C# jobs · C++ jobs · CI/CD jobs · Go jobs

JPMorgan has 7,494 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for jobshare roles keep coming back to Agile, C#, C++, CI/CD. Practise those questions before you sit with JPMorgan.

Questions you are likely to be asked

  1. Why do you want to join JPMorgan?
  2. What is your experience with Agile? Tell me one thing you learned the hard way.
  3. Tell me about a hard bug you tracked down. How did you find the cause?
  4. How do you decide what to test, and what does good code review look like to you?
  5. Describe a time a deadline forced a trade-off in quality. What did you choose and why?

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This is an exciting opportunity to join JPMorgan, this role is a Jobshare (part-time hours where 2 people share the responsibility of the role) if this is the flexibility you need this could be the role for you. This is Jobshare/ Part-time role - Schedule required is - 18hrs - Tuesday, Wednesday, Thursday & Friday either working AM/PM there is flexibility on these days & hours We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorganChase within CIB, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for delivering critical technology solutions across multiple technical areas within various business functions, in support of the firm’s business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure, high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met through software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Contributes to a team culture of diversity, opportunity, inclusion, and respect Formal training/certification in Software Engineering (or equivalent experience) with 3+ years of applied, hands-on development experience. Hands-on experience across system design, application development, automated testing, and production support, with a focus on operational stability (monitoring, alerting, incident triage, root-cause analysis). Proficiency in one or more modern object-oriented, compiled languages (e.g., Java, C#, C++, Go, Rust) and the ability to write clean, maintainable, well-structured code. Experience in developing, debugging, and maintaining code in a large corporate environment using one or more modern programming languages and database querying languages. Overall knowledge of the Software Development Life Cycle. Solid understanding of agile methodologies and practices such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) AI-enabled productivity: Demonstrated ability to use AI/LLM tools responsibly to improve day-to-day engineering work while adhering to applicable data privacy, security, and usage guidelines. Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Required qualifications, capabilities, and skills Formal training/certification in Software Engineering (or equivalent experience) with 3+ years of applied, hands-on development experience. Hands-on experience across system design, application development, automated testing, and production support, with a focus on operational stability (monitoring, alerting, incident triage, root-cause analysis). Proficiency in one or more modern object-oriented, compiled languages (e.g., Java, C#, C++, Go, Rust) and the ability to write clean, maintainable, well-structured code. Experience in developing, debugging, and maintaining code in a large corporate environment using one or more modern programming languages and database querying languages. Overall knowledge of the Software Development Life Cycle. Solid understanding of agile methodologies and practices such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) AI-enabled productivity: Demonstrated ability to use AI/LLM tools responsibly to improve day-to-day engineering work while adhering to applicable data privacy, security, and usage guidelines. Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security. Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices. Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Familiarity with Java Spring Boot services. Exposure to cloud technologies Your Pathway to Jobsharing at JPMorgan – IT’S A 2 BRAINER! At JPMorgan we are passionate about supporting different ways of working to support our talent in the flexibility they need. We know that Jobshare is a fantastic way to hire talent for the firm that offers both the flexibility that you need whilst providing the consistency that our business requires. Jobshare is 2 people working part time hours with full time powers. This role is part of a Jobshare opportunity and therefore a part-time role.

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Listed on oraclehcm · posted 2026-09-25. ApplySarthi collects openings and links to application pages; the role is advertised by JPMorgan, not by us.