Backend Software Engineer III - Python/JAVA
JPMorgan Chase7 hours ago
Responsibilities
- Design, develop, troubleshoot, and support secure, stable, and scalable software solutions.
- Build modular, production-grade Python applications with reusable classes, structured logging, and automated testing.
- Develop and optimize batch and distributed ETL/ELT pipelines using technologies such as PySpark.
- Create and maintain dbt macros, Jinja templates, seeds, and custom data-quality tests.
- Orchestrate reliable workflows with Airflow, MWAA, Astronomer, or Kubernetes, including scheduling, retries, alerting, and runbook readiness.
- Implement AWS data-processing solutions using Glue, Athena, Lambda, and CloudWatch.
- Automate infrastructure provisioning and deployment workflows with Terraform.
- Apply lakehouse concepts and manage large-scale datasets using Iceberg, Hudi, and Delta Lake.
- Use Snowflake streams, tasks, roles, and warehouses for scalable data operations.
- Use enterprise-authorized AI-assisted development tools for coding, refactoring, testing, troubleshooting, and documentation while validating outputs for correctness, performance, and security.
- Apply SDLC, CI/CD, resiliency, security, code review, and production-support practices.
Requirements
- Formal training or certification in software engineering concepts and at least 3 years of applied experience.
- Hands-on proficiency in Python and/or Java, including system design, application development, testing, and production support.
- Experience building solutions on AWS and working in a large corporate engineering environment.
- Understanding of SDLC, agile delivery, CI/CD, application resiliency, and security practices.
- Experience with modern databases and strong SQL/data-querying skills.
- Exposure to streaming technologies such as Kafka and/or Flink.
- Hands-on experience with enterprise-authorized AI-assisted software development tools and the ability to critically evaluate, validate, and refine generated outputs.
- Understanding of responsible AI use, data sensitivity, secure input/output handling, and resiliency and security expectations.
- Ability to guide peers on safe and effective AI-assisted engineering practices.
- Preferred familiarity with prompt engineering, LLMs, model evaluation, embeddings, vector search, responsible AI, and AI tools for engineering productivity or data-driven solutions.
Benefits
- Competitive total rewards and benefits package, with eligibility-based health care coverage, on-site health and wellness centers, retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.
- Eligible roles may receive commission-based pay and/or discretionary incentive compensation, including cash or forfeitable equity.
- Additional compensation and benefits details are provided during the hiring process.
Tech Stack
Categories
BackendData Engineering
About JPMorgan Chase
JPMorgan Chase provides consumer and commercial banking, payments, credit card, wealth management, and corporate and investment banking services to individuals, businesses, institutions, and governments. The public company (NYSE: JPM) earns revenue from interest, fees, trading, and asset management across operations in more than 100 markets. Headquartered in New York City with roots dating to 1799, it serves retail customers and prominent corporate and government clients through brands including Chase and J.P. Morgan.