AWS Lead Software Engineer - Python, Terraform, and AI

Testing Site - JPMC

Plano (TX)

On-site

USD 120,000 - 170,000

Full time

14 days+

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Job summary

JPMorganChase is seeking a Lead Software Engineer in Plano to drive secure, scalable data lake and cloud-based solutions within the AI/ML & Data Platforms team.

The role focuses on building production-grade software, automating deployment with Terraform and Python, and delivering trusted technology in a fast-paced, agile environment. Collaboration across business functions is essential for success.

Qualifications

  • Formal training or certification in software engineering concepts and 5+ years of applied experience.

Responsibilities

  • Designs and implements secure Data Lake solutions within the AWS environment.
  • Build AI agents to enhance the software development lifecycle.
  • Create MCP servers to support and scale platform engineering capabilities.
  • Explores and evaluates new features offered by AWS.
  • Creates Terraform and Python scripts to optimize deployment processes.
  • Executes software solutions, design, development, and troubleshooting with an ability to think beyond routine approaches.
  • Creates secure, high-quality production code and maintains algorithms aligned with systems.
  • Produces architecture and design artifacts for complex applications and ensures design constraints are met.
  • Gathers, analyzes, and visualizes data from large datasets to drive software improvements.
  • Identifies hidden data patterns to improve coding hygiene and system architecture.
  • Contributes to software engineering communities of practice and events for new technologies.

Skills

Python
CI/CD
AWS
Terraform
Data processing
Security
Agile
Cloud architectures

Tools

AWS Glue
EMR
Athena
Redshift
Lake Formation
Terraform
Python

Job description

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 Software Engineer at JPMorganChase within the Corporate Sector's AI/ML & Data Platforms team, 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 firm's business objectives.

Job responsibilities
  • Designs and implements secure Data Lake solutions within the AWS environment.
  • Build AI agents to enhance the software development lifecycle.
  • Create MCP servers to support and scale platform engineering capabilities.
  • Explores and evaluates new features offered by AWS.
  • Creates Terraform and Python scripts to optimize deployment processes.
  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
  • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
  • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
  • Contributes to software engineering communities of practice and events that explore new and emerging technologies
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience.
  • Hands-on experience in AWS Glue, EMR, Athena, Redshift, and Lake Formation.
  • Experience in programming languages (Python), Terraform, and database querying languages.
  • Hands on experience with leveraging CI/CD to rapidly build & test application code
  • Experience designing, developing, or maintaining production-grade cloud solutions in Cloud ecosystems such as Amazon Web Services, Microsoft Azure or Google Cloud Platform
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Proficient in coding in one or more languages
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
  • Overall knowledge of the Software Development Life Cycle
  • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Preferred qualifications, capabilities, and skills
  • Conduct code reviews and strive for improvement in software engineering quality
  • Knowledge working with PCI and sensitive data workloads
  • AWS Solutions Architect / Developer or any advanced level certification.
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