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.

Job responsibilities

Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problemsCreates 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

Required qualifications, capabilities, and skills

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 stabilityStrong Python programming experience is requiredExperience building and maintaining a microservices architecture using .Experience in developing, debugging and automated testing (e.g. PyUnit) within a commercial settingBasic python AI /ML knowledge required. (pandas, NumPy, 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.Preferred qualifications, capabilities, and skills 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.