Lead Software Engineer - Python,AWS

Overview

The Wealth Management Controls Technology group is looking for a Python Lead Software Engineer to work on a new program using cutting-edge technology.

As a Lead Software Engineer at JPMorgan Chase within the Wealth Management Controls Technology organization, you will be an experienced member of an agile team, tasked with designing and delivering reliable, market-leading technology products that are secure, stable, and scalable. Your role involves implementing essential technology solutions across diverse technical domains, supporting various business functions to achieve the firm's strategic goals.

• 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
• Engineer a suite of performant, scalable and reusable RESTful micro-services and APIs using Python. Championing quality and owning the non-functional requirements.
• Apply knowledge of service level indicators and objectives to proactively address issues and improve system reliability.
• Support the adoption of SRE best practices within the team as needed.
• Contributes to software engineering communities of practice and events that explore new and emerging technologies

• Formal education and/or training in Computer Science or related field and applied experience.
• Hands-on practical experience in system design, application development, testing, and operational stability
• Strong Python programming experience is required
• Experience building and maintaining a microservices architecture using .
• Experience in developing, debugging and automated testing (e.g. PyUnit) within a commercial setting
• Basic python AI /ML knowledge required. (pandas, Num Py, scikit-learn, etc..)
• Strong communication skills and ability to work collaboratively in large teams. Proactive problem-solving mindset and eagerness to learn new technologies.
• Good knowledge of AWS offerings (S3, EC2, RDS, Lambda , Terraform etc).
• Ability to identify and implement innovative solutions to meet business needs.

• Good knowledge of Docker, Kubernetes.
• Experience applying site reliability engineering (SRE) principles to software development.
• Exposure to service level objective alerting and telemetry collection.
• Experience with observability tools (Grafana, Dynatrace, Prometheus, Datadog, Splunk) and monitoring best practices is a plus.