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Lead Software Engineer designing & delivering secure, scalable market-leading tech solutions across diverse business functions at JPMorgan Chase. 5+ years of hands-on experience in Python & AWS required.

Compensation: Not specified USD
City: Houston
Country: United States

Full Job Description

Location: Houston, TX, United States

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 Data Software Engineer at JPMorganChase within the Commercial and Investment Bank, 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 firms 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

Required qualifications, capabilities, and skills

Formal training in software engineering concepts and 5+ years of applied experience
Extensive experience building and operating AWS/public cloudbased applications
Strong Python (Pyspark) programming skills
Proven handson delivery across system design, application development, testing, and operational stability.
Proficiency in automation, CI/CD, and all aspects of the SDLC
Experience with pipelines and DAGs for data processing and/or machine learning
Demonstrated proficiency in cloud and AI/ML software practices
Experience driving adoption of AI engineering tools (e.g., GitHub Copilot) for JIRA, documentation, coding, and releases, with measurable productivity and quality gains

Preferred qualifications, capabilities, and skills

AWS (hands-on): Glue, EventBridge, Step Functions, Lambda, ECS, EKS, Kinesis, CloudWatch
Outside AWS: Python, Terraform, TigerGraph, graph databases, GitHub Copilot, Airflow, Kubernetes
JPMC platforms/tools (highly preferred): Jules/JET, GKP (Gaia Kubernetes), Fusion MLOps

Carry out critical tech solutions across multiple technical areas as an integral part of an agile team

Full Job Description

Location: Houston, TX, United States

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

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

Required qualifications, capabilities, and skills

Formal training in software engineering concepts and 5+ years of applied experience
Extensive experience building and operating AWS/public cloudbased applications
Strong Python (Pyspark) programming skills
Proven handson delivery across system design, application development, testing, and operational stability.
Proficiency in automation, CI/CD, and all aspects of the SDLC
Experience with pipelines and DAGs for data processing and/or machine learning
Demonstrated proficiency in cloud and AI/ML software practices
Experience driving adoption of AI engineering tools (e.g., GitHub Copilot) for JIRA, documentation, coding, and releases, with measurable productivity and quality gains

Preferred qualifications, capabilities, and skills

AWS (hands-on): Glue, EventBridge, Step Functions, Lambda, ECS, EKS, Kinesis, CloudWatch
Outside AWS: Python, Terraform, TigerGraph, graph databases, GitHub Copilot, Airflow, Kubernetes
JPMC platforms/tools (highly preferred): Jules/JET, GKP (Gaia Kubernetes), Fusion MLOps

Carry out critical tech solutions across multiple technical areas as an integral part of an agile team

Lead Software Engineer

Full Job Description

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Lead Software Engineer

Full Job Description

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