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Lead Software Engineer - Python, AWS, Data, Agentic AI
Backend Developer
Python
Amazon Emr
Amazon Web Services
Apache Airflow
APIs
Automation
AWS
Aws Glue
Big Data
Bigdata
Cloud
Cloud Operations
Cloud Platform
Cloud Platforms
Data Analysis
Data Architecture
Data Engineer
Data Integration
Data Lake
Data Lakehouse
Data Pipeline
Data Platform
Data Processing
Data Warehouse
Data Warehousing
Databases
Databricks
Engineering
ETL
Frontend
Hadoop
Informatica
Information Technology (IT)
Java Language
JavaScript
Programming Language
Programming Languages
Pyspark
Snowflake
Software Development
Software Engineer
Software Engineering
Spark
SQL
Technical Lead
Job Description
Lead Software Engineer at JPMorganChase in Houston, TX, focused on delivering secure, scalable technology across multiple business functions with emphasis on Python, AWS, data-intensive workflows, and agentic AI.
Responsibilities
- Architect and implement creative software solutions, handling development and debugging to address non-standard problems and decompose complex technical challenges.
- Write secure, production-grade code and perform code reviews and debugging for teammates.
- Proactively identify recurring issues and automate remediation to boost stability across applications and systems.
- Lead evaluation sessions with external vendors, startups, and internal teams to assess architectures, credentials, and fit within the existing information architecture.
- Foster communities of practice among software engineers to promote awareness and adoption of cutting-edge technologies.
- Contribute to an inclusive, diverse, and respectful team culture.
Requirements
- Formal training or certification in software engineering and application development with at least seven years of hands-on experience.
- Hands-on expertise in Python and/or Java with a track record of delivering secure, production-quality code.
- Extensive experience building cloud-native solutions on AWS covering compute, storage, security/IAM, networking, and observability.
- Experience with LLMs and agentic systems, including orchestration patterns, tool calls, retrieval, structured outputs, evaluations, and safety/guardrails.
- Background building data-intensive applications and workflows with Databricks (Spark, Delta, jobs/workflows).
- Proficiency in JavaScript/TypeScript and React for modern web applications.
- Experience with automation and continuous delivery practices; strong SDLC discipline including CI/CD, testing, code quality, and 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 align stakeholders.
Technologies
- Python
- Java
- JavaScript
- TypeScript
- React
- AWS
- EC2
- EKS
- RDS
- S3
- Lambda
- EMR
- Glue
- Databricks
- Spark
- Delta Lake
- PySpark
- Hadoop
- Snowflake
- Airflow
Benefits
- Comprehensive health care coverage
- On-site health and wellness centers
- A retirement savings plan
- Backup childcare
- Tuition reimbursement
- Mental health support
- Financial coaching
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