Lead Software Engineer-Java/SpringBoot/AWS

JPMorgan Chase & Co.
Wilmington, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Wilmington, United States of America

Tech stack

Java
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Data analysis
Software Applications
Automation of Tests
Big Data
Mobile Application Development
Cloud Engineering
Software Quality
Code Review
Continuous Delivery
Continuous Integration
Distributed Systems
Amazon DynamoDB
Java Virtual Machine (JVM)
PostgreSQL
Machine Learning
Enterprise Messaging Systems
NoSQL
Oracle Applications
Performance Tuning
Systems Development Life Cycle
Software Tools
TensorFlow
Secure Coding
Software Engineering
Software Systems
SQL Databases
Strategies of Testing
Toolchain
Datadog
Sql Optimization
Grafana
Spring-boot
Event Driven Architecture
Containerization
Cassandra
Production Code
Kafka
Cloudwatch
Terraform
Splunk
Code Restructuring
Dynatrace
Docker
Databricks
Microservices

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 - Java/Spring Boot/AWS at JPMorgan Chase within the Corporate Technology's Consumer and Community Banking Risk Decision team, 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

  • 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
  • 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
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation, Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Requirements

Do you have experience in Tooling?, * Formal training or certification on software engineering concepts and 5+ years applied experience

  • Hands-on experience leading system design, application development, testing, deployment, and production operational stability in mission-critical environments
  • Advanced proficiency in Java (Java 17+) with Spring Boot, including writing thread-safe, highly concurrent code on the JVM
  • Proven experience building cloud-native Java microservices and large-scale distributed systems (real-time and batch), with deep end-to-end SDLC expertise from design and development through release, monitoring, and support, and a strong command of CI/CD, automation, resiliency, and security to enable continuous delivery and production excellence.
  • Extensive experience with event-driven architectures and distributed messaging platforms such as Kafka
  • Practical, hands-on experience running production workloads on AWS, leveraging services such as EKS, ECS, S3, ALB/NLB, DynamoDB, and Aurora
  • Advanced containerization and orchestration experience using Docker and Kubernetes in high-availability production environments
  • Proficiency with SQL and NoSQL databases (e.g., Oracle, PostgreSQL, DynamoDB) and performance tuning at scale
  • Strong experience with infrastructure as code (Terraform) and observability tooling including Grafana, Splunk, Dynatrace, Datadog, and CloudWatch
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

Preferred qualifications, capabilities, and skills

  • Experience with Databricks and large-scale data processing platforms
  • Exposure to mobile technologies and mobile application development ecosystems
  • Hands-on experience applying machine learning concepts in production systems
  • Familiarity with advanced SQL and NoSQL databases such as CockroachDB and Cassandra
  • Experience working with data-intensive or analytics-driven applications
  • Knowledge of AI/ML frameworks or cloud-native data services
  • Background in modern data architectures supporting real-time decisioning

Benefits & conditions

Pulled from the full job description

  • Tuition reimbursement
  • Health insurance
  • Retirement plan, 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.

About the company

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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