Join a team where your engineering skills directly shape the technology powering millions of customers and businesses worldwide. At JPMorganChase, we invest in our engineers, offering the tools, mentorship, and scale to help you grow from a strong individual contributor into a well-rounded technologist.
As a Software Engineer III at JPMorganChase, you will contribute to the design, development, and delivery of scalable software solutions that support critical business operations. You will work within a collaborative engineering team, applying your technical expertise to solve complex problems while growing your skills across the full software development lifecycle. Your work will directly impact the reliability, performance, and innovation of systems used by clients and colleagues across the firm.
Job responsibilities
- Design and develop high-quality, scalable software solutions aligned with business and technical requirements
- Contribute to all phases of the software development lifecycle, including design, coding, testing, and deployment
- Collaborate with cross-functional teams including product, architecture, and operations to deliver end-to-end solutions
- Identify and resolve technical issues, performing root cause analysis to prevent recurrence
- Write clean, maintainable code and participate in peer code reviews to uphold engineering standards
- Support continuous integration and continuous delivery pipelines to improve deployment frequency and reliability
- Contribute to technical documentation, ensuring clarity and accuracy for internal and external stakeholders
- Participate in agile ceremonies, providing input on sprint planning, estimation, and retrospectives
- 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 or certification on software engineering concepts and 3+ years applied experience
- Proficiency in one or more programming languages such as Java, Python, or equivalent
- Experience with software design patterns, data structures, and algorithms
- Hands-on experience with version control systems such as Git
- Familiarity with cloud platforms and distributed systems concepts
- Ability to write and maintain automated unit and integration tests
- Strong problem-solving skills with the ability to debug and resolve complex technical issues
- Effective communication skills with the ability to collaborate across technical and non-technical teams
- 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
- Experience working in an agile or scrum delivery environment
- Exposure to containerization and orchestration technologies such as Docker or Kubernetes
- Familiarity with CI/CD tooling and DevOps practices
- Experience with relational or NoSQL databases and query optimization
- Knowledge of financial services technology or regulated industry environments
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
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 place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Similar Jobs
What you need to know about the Seattle Tech Scene
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
