Lead Software Engineer, Java Microservices/API

JPMorgan Chase & Co. • Plano, TX

2h

About The Position

As a Lead Software Engineer at JPMorganChase within the Corporate Sector – Corporate Technology, you will be an integral technical contributor on an agile team that enhances, builds, and delivers secure, stable, scalable technology products. You will lead the design, development, and delivery of cloud-native backend services and RESTful APIs using Java, Spring Boot, and microservice architecture, and provide technical leadership throughout the software development lifecycle.

The role includes developing and deploying AWS services, working with Docker, ECS, CI/CD practices, and PostgreSQL, while producing and reviewing architecture and implementation artifacts. You will lead engineering quality, resiliency, operational stability, and continuous improvement, and guide adoption of enterprise-authorized AI-assisted engineering tools and practices. This includes establishing standards to validate AI-generated outputs for correctness, security, performance, and responsible data handling.

You will also lead technical discussions and evaluations with stakeholders, vendors, and external partners; analyze telemetry, operational data, quality metrics, and delivery patterns; and contribute to engineering communities and initiatives in cloud-native development, automation, AI-assisted delivery, and emerging technologies.

Requirements

• Formal training or certification in software engineering concepts and at least 5 years of applied experience.
• Strong hands-on experience designing, developing, and maintaining enterprise-grade applications using Java and Spring Boot.
• Demonstrated experience building and supporting RESTful APIs, microservices, and distributed service-oriented systems.
• Practical cloud-native development experience, preferably with AWS, including ECS, containers, and cloud deployment patterns.
• Experience leading effective use of approved AI-assisted software development tools, with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and security and resiliency expectations; experience coaching engineers on safe, compliant adoption.
• Hands-on experience with Docker, containerized applications, and modern deployment practices.
• Strong understanding of CI/CD pipelines, automated testing frameworks, release automation, and DevOps engineering practices.
• Experience with PostgreSQL, including relational data modeling, query optimization, indexing strategies, and performance tuning.
• Advanced understanding of the software development lifecycle, agile methodologies, application resiliency, observability, and secure software delivery.
• Ability to lead technical design discussions, evaluate implementation options, and make sound engineering decisions for complex systems.
• Experience reviewing code, mentoring engineers, and promoting engineering best practices across a team.
• Strong analytical, debugging, and problem-solving skills, including diagnosing complex technical issues across applications, infrastructure, and data layers.
• Excellent communication and collaboration skills, with the ability to influence technical direction and partner with cross-functional stakeholders.

Nice To Haves

• Experience with synchronous REST integration patterns for latency-sensitive credit or bureau calls, and event-driven or asynchronous processing using Kafka, Amazon SQS, or similar; experience with dual-persistence patterns such as Aurora PostgreSQL for transactional data and Snowflake for analytics and long-term audit.
• Familiarity with API gateway technologies, service mesh concepts, IDAnywhere / ADFS OAuth2 authentication and authorization patterns, edge-proxy vendor integration patterns, and API lifecycle management for third-party bureau integrations.
• Experience with infrastructure-as-code tools such as Terraform (Atlas / TFE) or similar automation frameworks, and CI/CD delivery with blue/green deployments.
• Hands-on experience with observability tools for logging, metrics, tracing, dashboards, and alerting, such as Splunk, Dynatrace, CloudWatch, or Grafana, and driving production readiness for regulated, high-availability services.
• Experience designing systems for high availability, fault tolerance, scalability, and operational resilience, including ECS NextGen cluster migrations, multi-AZ resiliency, and graceful degradation for downstream vendor outages.
• Familiarity with performance testing, load testing, and application tuning using BlazeMeter, JMeter, or similar tools for high-throughput, low-latency distributed systems under real-time credit-decisioning SLAs.
• Experience with modern security practices, including secrets management (AWS Secrets Manager, Hera KMS, AppProtect), vulnerability remediation, dependency management, secure API design, and controls for 15-year audit retention and consumer credit data.
• Experience leading technical modernization, platform migration, cloud adoption, and application resiliency initiatives in a regulated environment.
• Track record of contributing to engineering communities of practice, reusable frameworks, and technical standards, and mentoring engineers toward consistent, secure, and scalable delivery.

Responsibilities

• Lead the design, development, and delivery of scalable, secure, cloud-native backend services and RESTful APIs using Java, Spring Boot, and microservice architecture.
• Provide technical leadership across the software development lifecycle, including architecture, solution design, coding standards, implementation, testing, deployment, observability, and production support.
• Drive team adoption of enterprise-authorized AI-assisted engineering practices and establish standards for validating AI-generated outputs, including secure coding review, correctness checks, performance validation, automated testing, and responsible data handling.
• Use software development lifecycle toolchain capabilities, including authorized AI-assisted development and automation tools, to improve the value realized by automation.
• Produce high-quality production code, conduct code reviews, improve test coverage, and ensure compliance with secure coding and organizational engineering standards.
• Design and implement resilient distributed systems that meet performance, scalability, availability, and maintainability requirements.
• Develop and deploy cloud-native services on AWS, leveraging services such as ECS, Docker containerization, and automated CI/CD delivery practices.
• Design, optimize, and maintain PostgreSQL data models, schemas, and queries to support data integrity, performance, and scalability across distributed services.
• Produce and review architecture, technical design, and implementation artifacts for complex applications, ensuring alignment with enterprise architecture, security, and operational standards.
• Identify recurring technical or operational issues and lead automation, remediation, and resiliency improvements to reduce toil and improve application stability.
• Lead technical evaluation sessions with internal stakeholders, vendors, and external partners to assess architecture designs, integration approaches, technical feasibility, and alignment with existing systems.
• Analyze application telemetry, operational data, quality metrics, and delivery patterns to identify trends and drive continuous improvement in engineering practices and system reliability.
• Contribute to engineering communities of practice and support initiatives focused on modern software engineering, cloud-native development, automation, AI-assisted delivery, and emerging technologies.

Benefits

• Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation in the form of cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed