Java Backend Software Engineer II - Databricks / PySpark / AWS

JPMorgan Chase & Co.
Houston, TX, United States
14 days ago
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Role details

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

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Big Data Software Quality Code Review Information Engineering Relational Databases
+29 more
Programming Tools Distributed Systems Python (Programming Language) Machine Learning NoSQL Oracle (Applications) Service Development Studio Software Deployment Software Engineering SQL Databases Cloud Platform System GitHub Copilot ReactJS System Availability Multi-Agent Systems Backend Amazon Relational Database Service Containerization Pyspark Kubernetes Infrastructure Automation Frameworks Data Management Front End Software Development Functional Programming Restful APIs Data Pipelines Docker Databricks Microservices

Job description

  • Design and develop robust, scalable backend services and APIs using Java and Python to support client data platforms
  • Build and optimize data pipelines using PySpark and Databricks to process large volumes of structured and unstructured financial data
  • Deploy and manage cloud-based infrastructure and services on AWS, ensuring reliability, scalability, and security
  • Collaborate with cross-functional teams including data engineering, product, and analytics to deliver end-to-end solutions
  • Integrate and leverage AI-powered developer tools to accelerate development workflows and improve code quality
  • Participate in code reviews, technical design discussions, and architecture planning sessions
  • Monitor, troubleshoot, and resolve production issues, ensuring high availability and performance of backend systems
  • Contribute to engineering best practices, documentation, and continuous improvement of the software development lifecycle

Requirements

  • Formal training or certification on software engineering concepts and 2+ years applied experience
  • Proficiency in Java and/or Python for backend application and service development
  • Hands-on experience with PySpark and Databricks for large-scale data processing
  • Experience building and deploying applications on AWS (e.g., Lambda, S3, EC2, RDS, or equivalent services)
  • Demonstrated experience integrating or working with AI/machine learning models, APIs, or AI-powered tooling within backend systems
  • Familiarity with React or similar frontend frameworks to support full-stack collaboration
  • Proficiency in relational database management systems (RDBMS) such as SQL or Oracle, as well as NoSQL databases
  • Strong understanding of RESTful API design, microservices architecture, and distributed systems

Preferred qualifications, capabilities, and skills

  • Experience working with large language model frameworks or AI orchestration tools (e.g., LangChain, OpenAI APIs, or equivalent)
  • Familiarity with AI-assisted development tools (e.g., GitHub Copilot or similar) to enhance engineering productivity
  • Experience with CI/CD pipelines, containerization (Docker/Kubernetes), or infrastructure-as-code practices
  • Exposure to agile development methodologies and cross-functional product delivery teams

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

Join one of the world’s most innovative financial institutions and help shape the future of client data and intelligence. At JPMorganChase, we invest in our engineers - giving you access to cutting-edge tools, modern cloud infrastructure, and a collaborative culture where your contributions directly impact how we serve clients globally.

As a Software Engineer II at JPMorganChase within the Client 360 team in the Commercial & Investment Bank, you will design and develop scalable backend systems that unify and surface critical client data across the firm. You will work alongside talented engineers, data scientists, and product managers to build the data pipelines and services that power intelligent client insights. This is an opportunity to grow your engineering craft while solving complex, high-impact problems in a fast-paced financial technology environment.

The Client 360 team is focused on delivering a unified view of client relationships across the Commercial & Investment Bank. You will contribute to a platform that aggregates, processes, and delivers data at scale - enabling smarter decisions and stronger client outcomes across the firm., 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

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Apply on jpmc.fa.oraclecloud.com
Prepare application

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