Lead Software Engineer
About The Position
As a Lead Software Engineer at JPMorganChase within the AI/ML Data Platforms (AMDP) Data Governance Engineering team, you will help develop and deliver core data capabilities for the AMDP platform. You will work as part of an agile team to enhance, design, and deliver software components for secure, stable, and scalable technology products. The role includes end-to-end delivery of Java- and Python-based services, batch jobs, and data pipelines, from design and development through testing, deployment, and troubleshooting. You will create design artifacts for complex workflows, analyze data and pipeline execution to identify issues and improvement opportunities, and produce reports, metrics, and visualizations to support business and operational insights. You will also contribute to engineering communities and internal tools, evaluate emerging technologies, and use enterprise-authorized AI-assisted development tools while validating their outputs through reviews, tests, and secure coding practices. You will work independently or with a distributed agile team, coordinating across time zones and applying SDLC tools, Agile methods, and automation to improve delivery.
Requirements
- At least 5 years of experience with formal training or certification in software engineering concepts.
- Hands-on experience in system design, application development, testing, and operational stability in production environments.
- Full-stack development experience with Spring, Java, Python, Hibernate, Spark/PySpark, AWS cloud technologies, and Databricks.
- Experience with relational databases and SQL; familiarity with NoSQL databases and data modeling concepts.
- Ability and enthusiasm to learn other coding languages and technologies and to grow technical aptitude and business understanding.
- Knowledge of the data lifecycle, including ingestion, validation, transformation, storage, governance, lineage, and consumption patterns.
- Ability to develop, debug, and maintain code in large enterprise environments with established controls and standards.
- Familiarity with continuous integration and delivery, application resiliency, security best practices, observability, and monitoring.
- Hands-on experience with enterprise-authorized AI-assisted software development tools and ability to critically evaluate and validate AI-generated outputs.
- Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resiliency and security expectations.
Nice To Haves
- AWS Solutions Architect/Developer or advanced-level certification.
- Proficiency across the data management lifecycle.
- Skill in resolving code issues and proficiency with Git for repository management and team collaboration.
- Familiarity with modern front-end technologies, especially React.JS and Angular.
Responsibilities
- Execute end-to-end software delivery, including design, development, testing, deployment, and technical troubleshooting for Java- and Python-based services, batch jobs, and data pipelines.
- Apply data processing, API, scripting, and automation tools and frameworks with attention to performance, reliability, and testing discipline.
- Produce design artifacts for complex workflows covering pipeline orchestration, processing logic, dependencies, failure handling, and service-level objectives.
- Gather, analyze, and synthesize data to produce reports, metrics, and visualizations supporting business and operational insights.
- Identify data and pipeline issues such as data quality problems, drift, anomalies, and bottlenecks, and drive system improvements.
- Deliver projects on time with ownership and accountability, independently or as part of a distributed agile team working across time zones.
- Contribute to engineering communities, improve internal libraries and utilities, and evaluate emerging technologies where appropriate.
- Use enterprise-authorized AI-assisted software development tools to improve code quality, delivery speed, and productivity, validating outputs through peer review, automated testing, and secure coding standards.
- Apply SDLC toolchain knowledge, Agile methodology, and automation capabilities to improve delivery speed and the value realized from automation.
- Develop and maintain software in a secure, stable, and scalable manner.
Benefits
- Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
- Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
- Comprehensive health care coverage.
- On-site health and wellness centers.
- Retirement savings plan.
- Backup childcare.
- Tuition reimbursement.
- Mental health support.
- Financial coaching.
- Additional benefits and programs based on eligibility.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
