JPMorganChase
Software Engineer III - Backend / Data Engineer - Java, Python, Databricks
Be an Early Applicant
Develop secure, scalable backend and data solutions using Java, Python, Spring Boot, Databricks, Kafka, and cloud technologies. Responsibilities include designing microservices and event-driven architectures, integrating SQL and NoSQL databases, building data workflows, writing automated tests, reviewing code, troubleshooting production systems, and improving operational stability through automation. The role also contributes to agile practices, AI-assisted development, communities of practice, and enterprise software engineering standards.
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III (Java/Python Developer) at JPMorgan Chase within the Commercial and Investment Banking Emerging Markets Team, 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 an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.
As a Software Engineer III (Java/Python Developer) at JPMorgan Chase within the Commercial and Investment Banking Emerging Markets Team, 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 an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.
Job responsibilities
- Partners with product and design teams to build functionality that meets core business outcomes.
- 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 high-quality 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.
- Apply agile methodologies and use collaborative tools for effective teamwork and knowledge sharing.
- Implement and maintain unit and integration tests to ensure reliability and performance.
- Participate in code reviews to improve quality and share knowledge.
- Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies.
- 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.
- Adds to team culture of diversity, opportunity, inclusion, and respect.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and applied experience in Core Java, J2EE, and Spring Boot with strong coding skills.
- Good working knowledge of AWS, Databricks and Python.
- Experience across the data lifecycle.
- Strong proficiency using Spring framework and understanding of inversion of control and dependency injection.
- Hands-on experience designing and implementing event-driven architectures with different message brokers, including Kafka.
- Experience creating RESTful microservices and handling asynchronous data.
- Experience integrating with both SQL Databases (Oracle) and No-SQL Databases (DynamoDB, MongoDB).
- Advanced at SQL, including joins and aggregations.
- Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns for analysis.
- Experience with Maven/Gradle.
- Experience using version control with GitHub/Bitbucket.
- Experience with modern testing tools (JUnit, Mockito, Spring Test Framework, Cucumber)
- Hands-on practical experience delivering application development, testing, and operational stability.
- Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
- 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.
Preferred qualifications, capabilities, and skills
- Develop workflows and ELT pipelines using Python and Databricks.
- Familiarity with the Standardised data layer practices (Medallion architecture)
- Familiarity with modern backend technologies including Java 21+.
- Familiarity with Domain Driven Design as an approach to begin implementing system designs.
- Proficiency with AI code assistants for rapid prototyping and end delivery of Backend functionality.
- Experience with deploying Backend services to cloud providers (e.g. AWS, Google Cloud, Azure).
- Skills in designing efficient data models including normalization, denormalization, and schema design and an understanding around relational and star schemas
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.
Similar Jobs
Fintech • Payments • Financial Services
Owns Teya’s end-to-end merchant retention and recovery pipeline, from early churn signals through collections, terminal recovery, write-off, or debt sale. The role designs automated retention and collections journeys, builds metrics and queues, coordinates Risk, Commercial, Finance, Billing, Legal, Logistics, and Customer Relations, and leads remediation of the existing portfolio. It will initially operate hands-on before hiring and managing a credit control team while applying AI, automation, fair-treatment principles, and data-driven testing.
Top Skills:
AIAutomationCard-On-File PaymentsDirect DebitPayment LinksPayment Plans
Fintech • Payments • Financial Services
Own and centralize payments and merchant settlement operations across SEPA, Faster Payments, and SWIFT. Standardize processes, create runbooks, manage reconciliations and exceptions, oversee banking partners, coordinate funding and liquidity with Treasury, maintain payment controls, handle incidents, and improve operations through automation and AI. The role also tracks service levels, resolves payment issues, supports payment rail testing, and builds a scalable operations capability.
Top Skills:
AIAutomationConfirmation Of PayeeFaster PaymentsReconciliation ToolsSanctions ScreeningSepaSpreadsheetsSwift
Artificial Intelligence • Cloud • Information Technology • Machine Learning • Software
Supports professional services engagements by scoping, designing, estimating, and deploying LogicMonitor observability solutions. Works with customers, sales, customer success, project managers, and solution architects on requirements, integrations, custom solutions, statements of work, technical feasibility, implementation guidance, and escalations. Researches technologies, develops prototypes and documentation, supports product enablement, and contributes to new services offerings and product feedback.
Top Skills:
AWSAzureGCPGroovyHTTPItilJavaJSONLogicmonitor Lm EnvisionMib FilesNagiosOidsPowershellPythonRegexRest ApisSciencelogicSnmpSolarwindsWmiZenoss
What you need to know about the Edinburgh Tech Scene
From traditional pubs and centuries-old universities to sleek shopping malls and glass-paneled office buildings, Edinburgh's architecture reflects its unique blend of history and modernity. But the fusion of past and future isn't just visible in its buildings; it's also shaping the city's economy. Named the United Kingdom's leading technology ecosystem outside of London, Edinburgh plays host to major global companies like Apple and Adobe, as well as a growing number of innovative startups in fields like cybersecurity, finance and healthcare.
