We have an opportunity to impact your career and provide an adventure where you can push the limits of what’s possible.
As a Lead Software Engineer at JPMorganChase within Commodities Technology (Energy), you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
JPMorganChase Commodities Technology is hiring a hands-on Local Development Lead in Singapore to build and run mission-critical software for the Energy franchise. You will partner closely with front office traders, Quants/QR, Sales, Middle Office, and Production Management to deliver high-quality capabilities across trading, risk, P&L, inventory, and logistics workflows in fast-moving markets (e.g., power, natural gas/LNG, emissions/environmental products).
Job Responsibilities
- Lead delivery for Singapore Energy tech: own end-to-end execution from requirements and design through build, test, release, and production support.
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems.
- Develops secure and high-quality production code, and reviews and debugs code written by others; sets a high bar for code review quality and engineering craftsmanship.
- Build inventory & logistics capabilities on the Athena platform to support expanding physical/structured energy activities (state, movements, costs, constraints, controls, and integrations).
- Engineer for reliability and performance: design resilient, observable services and workflows with clear failure modes, safe rollouts/rollbacks, and strong operational readiness.
- Raises team standards across testing strategy, CI/CD discipline, documentation/runbooks, and incident/post-incident practices.
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- 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.
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
- Mentors and grows engineers: develops technical capability, coaches on ownership and operating discipline, and helps shape hiring/onboarding as the local team evolves.
- Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture.
Required Qualifications, Capabilities, and Skills
- Bachelor’s degree in Computer Science/Engineering/Math (or equivalent experience).
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability.
- Proficient in all aspects of the SDLC; advanced understanding of agile/modern engineering practices including CI/CD, application resiliency, and security.
- Advanced in one or more programming languages; strong coding skills in at least one of: Python, TypeScript, Scala, C++, C#; willingness to become highly proficient in Python.
- Experience designing large-scale systems with complex data models and integrations (object and/or transactional databases).
- Proven leadership in raising engineering quality: reviews, testing, release discipline, and operational excellence.
- Strong fundamentals in data structures, algorithms, and system/enterprise architecture.
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.
- In-depth knowledge of the financial services industry and its IT systems.
- Practical cloud-native experience.
Preferred Qualifications, Capabilities, and Skills
- Commodities/energy trading and risk domain experience (power/gas/LNG/emissions) and/or physical logistics/inventory systems.
- Experience building software used directly by traders or tightly coupled to pricing/risk/P&L.
- Practical experience introducing AI/agentic development workflows with robust guardrails and measurable quality outcomes.
Skills Required
- Bachelor's degree in Computer Science, Engineering, Math or equivalent experience
- Formal training or certification on software engineering concepts
- 5+ years applied experience in software engineering
- Hands-on experience delivering system design, application development, testing, and operational stability
- Proficient in SDLC and modern engineering practices (CI/CD, resiliency, security)
- Advanced skills in one or more languages; strong coding in at least one of: Python, TypeScript, Scala, C++, C#
- Experience designing large-scale systems with complex data models and integrations (transactional/object databases)
- Proven leadership raising engineering quality: code reviews, testing, release discipline, operational excellence
- Strong fundamentals in data structures, algorithms, and system/enterprise architecture
- Demonstrated experience leading effective use of approved AI-assisted software development tools with validation practices
- Strong understanding of responsible AI use, data sensitivity, secure handling, and compliant adoption
- In-depth knowledge of the financial services industry and its IT systems
- Practical cloud-native experience
- Commodities/energy trading, risk domain or physical logistics/inventory systems experience
- Experience building software used directly by traders or tightly coupled to pricing/risk/P&L
- Practical experience introducing AI/agentic development workflows with robust guardrails
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental health coverage are comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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