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Lead Software Engineer - Agentic
Backend Developer
Apache Airflow
Apache Spark
APIs
Artificial Intelligence
Automation
Big Data
Bigdata
Cloud
Data Architecture
Data Integration
Data Lake
Data Processing
Data Warehouse
Databricks
ETL
Frontend
Hadoop
Integration
Java Language
JavaScript
Prompt Engineering
PySpark
Snowflake
Software Engineering
Spark
SQL
Team Lead
Technical Lead
Job Description
The Lead Software Engineer - Agentic role at JPMorganChase, within the Corporate Sector, focuses on delivering secure, production-grade code and guiding architectural decisions across agentic and related domains to support the firm’s strategic objectives.
Responsibilities
- Develops innovative software solutions, participates in design, implementation, and debugging, and applies approaches that go beyond routine methods to resolve complex technical challenges
- Writes secure, production-ready code and conducts reviews and debugging of colleagues' work to maintain quality
- Identifies opportunities to automate repetitive remediation tasks to improve overall stability of software applications and systems
- Leads evaluation sessions with external vendors, startups, and internal teams to rigorously assess architectural designs, technical credentials, and suitability for integration with existing information architecture
- Champions communities of practice across Software Engineering to promote awareness and adoption of new and cutting-edge technologies
- Fosters an inclusive team culture that values diversity, opportunity, and respectful collaboration
Requirements
- Formal training or certification in Software Engineering and application development, plus 7+ years of hands-on experience
- Strong hands-on expertise in Python and/or Java with a track record of delivering secure, production-grade software
- Extensive experience building cloud-native solutions on AWS, including compute, storage, security/IAM, networking, and observability
- Solid background with LLMs and agentic systems, covering orchestration patterns, tool and function calling, retrieval, structured outputs, evaluations, and safety guardrails
- Experience developing data-intensive applications and workflows using Databricks (Spark, Delta, jobs/workflows)
- Proficiency in JavaScript/TypeScript and React for modern web application development
- Strong automation and continuous delivery expertise with disciplined SDLC practices (CI/CD, testing, code quality, release controls)
- Advanced understanding of agile delivery, application resiliency, and secure engineering practices
- Robust system design skills with the ability to make pragmatic trade-offs and secure stakeholder alignment
Technologies
- Python
- Java
- AWS (EC2, EKS, RDS, S3, Lambda, EMR, Glue)
- Databricks, Spark, Delta
- Snowflake
- PySpark, Hadoop, Airflow
- SQL
- JavaScript, TypeScript, React
- LLMs, agentic systems
Benefits
- Comprehensive health care coverage
- On-site health and wellness centers
- Retirement savings plan
- Backup childcare
- Tuition reimbursement
- Mental health support
- Financial coaching
- Commission-based pay and discretionary incentive compensation, paid in cash and/or forfeitable equity
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