Salary: $61,000 - 101,000 per year Requirements:
- We require formal training or certification in software engineering concepts, along with 5+ years of applied experience
- We need strong Java development expertise with object-oriented programming principles and substantial Spring Boot experience
- We value proven experience designing and tuning distributed systems for low-latency production processing
- We look for hands-on experience with AWS services such as MSK/Kafka, SQS, S3, ECS, EKS, Lambda, Kinesis Video/Data Streams, RDS, DynamoDB, and Redshift in resilient, large-scale architectures
- We require practical experience delivering alerting, monitoring, and reporting solutions with Datadog, Dynatrace, and/or Splunk in production environments
- We expect solid engineering fundamentals, including API design, disciplined testing, and debugging in live systems
- We seek proficiency in one or more modern programming languages, with strong emphasis on Java, and the ability to write clean, maintainable, testable code
- We require strong experience with containerization and orchestration tools, including Docker and Kubernetes
- We need the ability to communicate engineering tradeoffs clearly to both technical and non-technical stakeholders
- We expect demonstrated experience leading approved AI-assisted software development tools for coding, code review, test acceleration, and troubleshooting, with strong validation standards for correctness, performance, and security
- We look for a strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling, resiliency, and security controls, plus experience coaching others on compliant usage
- We architect and deliver low-latency, high-throughput Java Spring Boot distributed services with production-grade APIs
- We design and build resilient cloud-native service architectures with high-availability targets using AWS compute, messaging, streaming, database, and storage services
- We create and maintain infrastructure-as-code solutions with Terraform and/or CloudFormation for scalable, repeatable, and auditable cloud deployments
- We implement and continuously improve observability capabilities, including alerting, monitoring, and reporting, using Datadog, Dynatrace, and Splunk
- We translate ambiguous or evolving requirements into stable, well-modeled service designs and explain engineering tradeoffs to diverse stakeholders
- We lead technical design reviews, define engineering best practices, and promote standards that improve operability, reliability, and maintainability
- We own production outcomes end to end by identifying and resolving performance bottlenecks, reliability gaps, and scalability constraints through automation and runbook-driven operations
- We partner with machine learning engineers and data scientists to understand platform needs and deliver production-ready solutions
- We mentor engineers across the team and foster a culture of ownership, continuous learning, and engineering excellence
- We drive governance and adoption of approved AI-assisted engineering practices to improve code quality, delivery speed, and operational results
- AI
- API
- AWS
- Lambda
- Redshift
- Architect
- Cloud
- Datadog
- Docker
- Dynatrace
- Support
- Java
- Kafka
- Kubernetes
- Machine Learning
- Marketing
- Security
- Splunk
- Spring
- Spring Boot
- Terraform
- Backbone
- DevOps
- microservices
More:
We are JPMorganChase, one of the oldest financial institutions, and we deliver innovative financial solutions to millions of consumers, small businesses, and some of the worlds most prominent corporate, institutional, and government clients under the J.P. Morgan and Chase brands. Our history spans more than 200 years, and we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing, and asset management. We offer a competitive total rewards package that may include base salary, incentive compensation, and a range of benefits such as comprehensive health care coverage, on-site wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching. We value diversity and inclusion, provide reasonable accommodations where needed, and this role sits within our Corporate Functions team, which supports our businesses, clients, customers, and employees across finance, risk, human resources, marketing, and related areas.
last updated 41 week of 2026
Lead Software Engineer - Python & AWS in jersey city at Unknown Company
This position is listed as full time and onsite.