serve as the technical lead for the AI Platform Enablement team
drive actionable insights and develop AI models that deliver value to business partners
collaborate closely with the Enterprise GenAI Platform team to establish new capabilities
accelerate development alongside GenAI tools with a strong emphasis on high-impact use cases such as intelligent agents
enhance operational efficiency

Requirements

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field
6–10 years of hands-on software development experience, including 3–5 years of technical leadership
Expertise in microservices architecture and building distributed systems for high throughput and low latency
Experience with Java, Spring Boot, Oracle, Postgres, and messaging frameworks
Strong knowledge of SQL, RESTful APIs, system design, data structures, and algorithms
Hands-on experience with AWS, Kubernetes, CI/CD pipelines, and containerization (Docker)
5+ years of experience developing web services (SOAP/REST) on Java frameworks such as Spring MVC, Java EE
Hands-on project experience building server-side Java web services and enterprise integration business logic frameworks
Experience building multi-threaded batch applications (Spring Boot/Spring Batch)
Experience building modern REST APIs in Java EE container hosted applications (Jetty, Tomcat with Spring MVC or JAX-RS or Jersey)
Experience with database frameworks such as JDBC or JDBI. As well as familiarity with object-relational mapping frameworks like Hibernate, iBatis
Legacy knowledge of Java EE containers (BEA, JBoss)
Legacy knowledge creating and consuming SOAP-based web services and Service Oriented Architecture
Legacy knowledge of Message Bus (Message Broker, IBM Enterprise Service Bus)
1+ year Hands-on project experience building applications hosted in AWS (configuring, deploying, managing, monitoring) services and distributed applications
Hands-on project experience with test automation frameworks Protractor, Cypress, Jest, Junit, REST Assured, Cucumber
Hands-on project experience creating new CI/CD pipelines with tools like Jenkins or equivalent
Experience automating code quality metrics using tools like Sonar and Veracode
Experience documenting REST APIs and code generation Open API standards and tools (Swagger)
Understands good REST API design practices
Solid knowledge of network protocols
Comfortable connecting disparate systems built in multiple languages, multiple operating systems, on-premise, or cloud
Able to identify and troubleshoot network communication problems outside of the application
Familiarity working with OAuth 2.0 framework and scope
Knowledge of Artificial Intelligence architecture and ML Ops is a plus
Working knowledge of GitHub Copilot or other Generative AI tools to accelerate development and improve code quality

Benefits

comprehensive health care coverage and emotional well-being support
market-leading retirement
generous paid time off and parental leave
charitable giving employee match program
educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

microservices architecturedistributed systemsJavaSpring BootOraclePostgresSQLRESTful APIsAWSKubernetes

Soft skills

technical leadershipcollaborationproblem-solvingcommunicationoperational efficiency