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Closed on August 13, 2026.
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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
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Job Description
Lead Software Engineer role at JPMorganChase in Houston, TX, onsite, focused on secure, scalable Python and AWS data workflows with agentic AI capabilities across multiple business functions.
Responsibilities
- Design, implement, and troubleshoot software solutions with innovative approaches to tackle complex problems.
- Deliver secure, production-grade code; review and debug code produced by teammates.
- Identify and automate recurring remediation to boost the stability of applications and systems.
- Lead evaluation sessions with external vendors, startups, and internal teams to assess architectures, credentials, and fit within existing information architecture.
- Drive communities of practice across Software Engineering to promote adoption of new and leading-edge technologies.
- Support a team culture centered on diversity, opportunity, inclusion, and respect.
Requirements
- Formal training or certification in software engineering and application development, plus 7+ years of hands-on experience.
- Hands-on expertise in Python and/or Java with a proven record of secure, production-quality code.
- Extensive experience building cloud-native solutions on AWS, including compute, storage, security/IAM, networking, and observability.
- Strong background with large language models and agentic systems, covering orchestration patterns, tool calls, retrieval, structured outputs, evaluations, and safety guardrails.
- Experience delivering data-intensive applications and workflows using Databricks (Spark, Delta Lake, jobs/workflows).
- Proficiency in JavaScript/TypeScript and React for modern web applications.
- Automation and continuous delivery proficiency, with solid 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 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 coverage, including medical, dental, and vision
- On-site health and wellness facilities
- Retirement savings plan
- Backup childcare support
- Tuition reimbursement
- Mental health resources and support
- Financial coaching and planning services
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