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Lead Software Engineer

Plano, TX, US • Posted 20 hours ago • Updated 9 hours ago

Full Time

On-site

Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Job Details

Skills

Innovation
Software Development
Requirements Analysis
Development Testing
Software Design
Design Review
Data Flow
DevOps
Emerging Technologies
Presentations
Leadership
Machine Learning (ML)
Training
Software Engineering
Microservices
Docker
Jenkins
Python
SQL
JSON
Kubernetes
Electronic Health Record (EHR)
Amazon EC2
RDBMS
PostgreSQL
Oracle
Apache Spark
PySpark
TensorFlow
Software Architecture
Technical Drafting
Finance
Pair Programming
GitHub
Prototyping
Agile
Software Development Methodology
Continuous Integration
Continuous Delivery
Problem Solving
Conflict Resolution
Mentorship
Amazon Web Services
Machine Learning Operations (ML Ops)
Artificial Intelligence
Production Management
Splunk
Dynatrace
Grafana

Summary

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 JPMorgan Chase within the Corporate Technology, 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

Design, Develop and implement software solutions.
Solve business problems through innovation and engineering practices.
Engage in the full Software Development Life Cycle (SDLC), from requirements analysis through design, development, testing, and deployment.
Incorporate architectural standards into application design specifications, translating technical requirements into programmed application modules, and developing and enhancing software application modules.
Identify and troubleshooting application code-related issues.
Take active role in code reviews to ensure solutions are aligned to predefined architectural specifications.
Assist with Design reviews by recommending ways to incorporate requirements into designs and data flows.
Perform development and DevOps in a distributed environment.
Utilize AI agents and emerging technologies to build prototypes for demonstration purposes, presenting to peer groups, business partners, and senior leadership.
Define standards, best practices, and governance guidelines for the ML Platform.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience
Experience building Microservices using python, Docker, Jenkins, Python-Streamlit, SQL, JSON, Kubernetes, AWS EMR, AWS EC2, AWS RDBMS (Postgres, Oracle) , Apache Spark, Pyspark, Tensorflow
Application architecture disciplines and technical design for financial applications.
Experienced with pair programming agents such as GitHub Copilot to accelerate prototyping.
Solid grasp of Agile SDLC, CI/CD, and security best practices
Experience developing in large-scale corporate environments
Excellent problem-solving skills and the ability to think critically and creatively
Experience in mentoring and guiding junior engineers

Preferred qualifications, capabilities, and skills

AWS Certified Solutions Architect certification
Experience in MLOps and building model serving applications
Experience with Agentic AI architecture and agents to solve business challenges
Experience in observability and production management tools (ex. Splunk / Dynatrace / Grafana)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10125746
Position Id: ebb4857204c2588c1459bf3e25322627
Posted 20 hours ago

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