Software Engineer II - Platform Engineer​/Databricks

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision‑making. The CDAO is also responsible for developing and implementing solutions that support the firm’s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.

As a Software Engineer within the Chief Data Analytics Office - AIML Data Platforms 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 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.

• Execute software solutions, design, development, and technical troubleshooting with an ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
• Solving the company’s most challenging cloud data platform problems by building innovative technical solutions around Data Lake tools.
• Proactively identifying hidden problems and patterns in data and using these insights to drive improvements to coding hygiene and system architecture.
• Designing, implementing, and maintaining a managed AWS Databricks platform, and providing engineering and operational support for the platform to SRE and application teams.
• Performing platform design, set‑up and configuration, workspace administration, resource monitoring, and providing engineering support to data engineering teams, Data Science/ML, and Application/integration teams.
• Adding to team culture of diversity, opportunity, inclusion, and respect.

• Formal training or certification on software engineering concepts and 2+ years of applied experience.
• Hands‑on practical experience in system design, application development, testing, and operational stability.
• Hands‑on experience with Python and/or Java application program development with use of automated unit testing.
• Hands‑on experience with AWS services including provisioning infrastructure using automated tools.
• Hands‑on experience with Git Hub / Bitbucket code versioning tools, Jenkins build tool, and PyPI / Maven artifactory integrations.
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
• Knowledge of Big Data distributed compute frameworks like Spark and Terraform.

• Hands‑on experience with Big Data Spark Data Pipeline development.
• Hands‑on experience with Terraform Enterprise infrastructure provisioning.
• Hands‑on experience with Databricks.
• Knowledge about Platform Administration, Monitoring, and Resiliency.

JPMorgan Chase, 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.

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…