Lead Software Engineer - Python, AWS, Data, Agentic AI

JPMorgan Chase & Co.
Houston, TX, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) JavaScript (Programming Language) Airflow Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Software Applications Big Data Cloud Computing Software Quality Continuous Delivery Continuous Integration
+23 more
Extract Transform Load (ETL) Apache Hadoop Identity and Access Management Python (Programming Language) Systems Development Life Cycle Software Engineering Software Systems SQL Databases TypeScript Web Applications ReactJS Large Language Models Snowflake Multi-Agent Systems Apache Spark Electronic Medical Records AWS Lambda Amazon Relational Database Service Pyspark Production Code Virtual Agents Data Pipelines Databricks

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what’s possible.

As a Lead Software Engineer at JPMorganChase within the Corporate Sector, 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.

Job responsibilities

  • 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
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
  • Adds to team culture of diversity, opportunity, inclusion, and respect, Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

Requirements

  • Formal training or certification on Software Engineering and application development and 7+ years applied experience
  • Strong hands-on expertise in Python and/or Java with demonstrated delivery of secure, high-quality production code
  • Strong experience building cloud-native solutions on AWS (compute, storage, security/IAM, networking, observability)
  • Strong experience with LLMs and agentic systems, including orchestration patterns, tool/function calling, retrieval, structured outputs, evaluations, and safety/guardrails
  • Experience building data-intensive applications and workflows using Databricks (Spark, Delta, jobs/workflows)
  • Proficiency in JavaScript/TypeScript and React for building modern web applications
  • Proficiency in automation and continuous delivery methods; strong SDLC discipline (CI/CD, testing, code quality, release controls)
  • Advanced understanding of agile delivery, application resiliency, and secure engineering practices
  • Strong system design skills with the ability to make pragmatic trade-offs and drive alignment across stakeholders

Preferred qualifications, capabilities, and skills

  • Exposure to cloud technologies - AWS EC2, EKS, RDS, S3, Lambdas, EMR, Glue, S3
  • Big Data Technologies such as PySpark, Hadoop, Databricks, ETL, Snowflake
  • Proven experience in designing and building data pipelines (ETL/ELT) using modern technologies (e.g., Python, SQL, Spark, Airflow, etc.)

Benefits & conditions

Pulled from the full job description

  • Tuition reimbursement
  • Health insurance
  • Retirement plan, 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

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