Lead Software Engineer - Data/ Python/ AWS

JPMorgan Chase & Co.•Jersey City, NJ

78d

About The Position

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 Technology Division, 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.

Requirements

Formal training or certification on Software Engineering concepts and 5+ years applied experience in Python and/ or Data engineering space.
Hands-on practical experience delivering system design, application development, testing, and operational stability
Strong proficiency in Python. Hands-on experience with AWS services (ECS, EKS, Lambda, S3, IAM, RDS, Fargate, Glue, etc.).
Experience with data lake technologies, especially Apache Iceberg, Databricks, AWS Glue, and DuckDB.
Experience with monitoring and alerting tools (CloudWatch, X-Ray, Prometheus, Grafana, Splunk).
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
In-depth knowledge of the financial services industry and their IT systems
Practical cloud native experience

Nice To Haves

AWS Certifications (e.g., Solutions Architect, Developer, Data Analytics)
Experience with NLP, AI/ML workflow orchestration, or advanced analytics pipelines
Prior experience in building enterprise-scale data platforms or analytics solutions
Experience with containerization (Docker, Kubernetes) and cloud-native patterns

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. Build scalable, robust, and secure data infrastructure solutions using Python on AWS.
Architect and implement data pipelines and platform components using Apache Iceberg, Databricks, AWS Glue, and DuckDB.
Use tools like AWS CloudFormation and Terraform to automate deployment and management of cloud resources.
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

Benefits

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.
Additional details about total compensation and benefits will be provided during the hiring process.

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