Lead Java Backend Engineer | AWS, Microservices, AI-Driven

Next Frontier Capital; Plano (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorgan Chase in the United States seeks a Lead Software Engineer to drive secure, scalable technology products within an agile team. You will contribute across the SDLC and guide AI-assisted engineering practices.

The role emphasizes Java/Spring Boot backend development, cloud infrastructure as code (Terraform on AWS), containerization with Docker/Kubernetes, and strong focus on security, reliability, and observability with Splunk and Grafana.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Proficiency developing backend services in Java with Spring Boot within microservices architectures.
• Ability to design and implement RESTful web services and APIs.
• Hands-on experience defining cloud infrastructure as code with Terraform and operating services on AWS.
• Experience containerizing and orchestrating applications with Docker and Kubernetes.
• Practical experience with relational and NoSQL databases, including Postgres, Cassandra, MongoDB, and Redis.
• Experience building and maintaining event streaming solutions using Kafka or RabbitMQ.
• Well-versed in DevOps and SRE practices, including CI/CD with Jenkins and observability using Splunk and Grafana.
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems.
• Develops secure and high-quality production code, and reviews and debugs code written by others.
• 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.
• 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

Skills

Java

Spring Boot

REST APIs

Cloud Infrastructure as Code

Terraform

AWS

Docker

Kubernetes

Databases

Kafka/RabbitMQ

CI/CD

Observability

AI-assisted development

Secure coding

Responsible AI

Tools

Terraform

AWS

Docker

Kubernetes

Jenkins

Splunk

Grafana

Job description

JPMorgan Chase in the United States seeks a Lead Software Engineer to drive secure, scalable technology products within an agile team. You will contribute across the SDLC and guide AI-assisted engineering practices.

The role emphasizes Java/Spring Boot backend development, cloud infrastructure as code (Terraform on AWS), containerization with Docker/Kubernetes, and strong focus on security, reliability, and observability with Splunk and Grafana.