Software Engineer III- Java/Python, SQL, Databricks

JPMorgan Chase & Co.
Houston, TX, United States
4 days ago
Apply on jpmc.fa.oraclecloud.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Java (Programming Language) Artificial Intelligence Amazon Web Services Software Applications Automation of Tests Unit Testing Cloud Computing Code Generation Software Quality Relational Databases Database Queries Software Debugging
+21 more
Python (Programming Language) Microsoft SQL Server Oracle (Applications) Software Tools Secure Coding Software Engineering Software Systems SQL Databases Systems Architecture Tableau (Software) Toolchain Transact-SQL Snowflake Apache Spark Sybase Sap Business Objects Production Code Maintaining Code Apache Kafka Databricks Programming Languages

Job description

As a Software Engineer III at JPMorgan Chase within the Corporate Sector - Credit Risk Technology organization, 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 carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives., * Participate in modernization and upgrade of the Credit Risk technology stack in accordance with the industry best practices

  • 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 and 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 by 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
  • 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.

Requirements

  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Proficient in coding ( Java or Python)
  • Strong knowledge of relational databases/ Transact SQL (Oracle/Sybase/SQL Server)
  • Strong Knowledge of Databricks
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
  • Overall knowledge of the Software Development Life Cycle
  • 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

  • Exposure to cloud technologies (e.g. AWS, Databricks, Snowflake)
  • Business Intelligence Tools (Tableau/Business Objects/ThoughtSpot)
  • Kafka Messaging
  • Scala, Apache Spark

Benefits & conditions

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.

About the company

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on jpmc.fa.oraclecloud.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

3:12 min

Integrating toolchains to improve engineering efficiency and culture

Amir Friedman Amir Friedman +2 · World Congress 2025

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

2:25 min

Engineering career path from embedded systems to banking

John Woods John Woods · LIVE

2:11 min

Promoting an open toolchain to maximize developer choice

Anu Bharadwaj Anu Bharadwaj · World Congress 2023

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

Videos

See all

Related articles

See all