Forward Deployed Engineer: Java, AWS & Vertex AI

Relha LLC

Columbus (OH)

Hybrid

USD 116,000 - 174,000

Full time

5 days ago

Be an early applicant

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

The Hartford is seeking a Forward Deployed Engineer to modernize enterprise applications across Java, AWS, and GCP-based AI enablement. You will partner with cross-functional teams to deliver secure, scalable solutions and lead AWS infrastructure standards with reusable cloud patterns.

Responsibilities include building GenAI and agentic AI solutions, developing IaC with CloudFormation, Terraform/CDK, YAML, and Python Lambda, and integrating DevOps practices to ensure production readiness and

Qualifications

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline.
5+ years of hands-on Java/J2EE experience, including Spring Boot, REST/SOAP services, JMS, XML, JSON, JDBC, Flink, Apache Camel, or related frameworks.
Experience with Infrastructure as Code, cloud automation, build specifications, and repeatable deployment patterns.
Strong software engineering experience designing, building, and supporting secure, scalable, maintainable applications in an enterprise environment.
Strong AWS experience across application infrastructure, including Lambda, SQS, SNS, S3, API Gateway, IAM, CloudWatch, CI/CD, observability, and production readiness; AWS certifications are a plus.
Experience applying GenAI or agentic AI across engineering workflows, including code generation, test automation, workflow orchestration, and productivity improvements.
Ability to communicate across the organization and influence leadership, architecture, product, business, and engineering stakeholders.

Responsibilities

Modernize enterprise applications using Java, J2EE, Spring Boot, REST/SOAP services, JMS, XML, JSON, JDBC, Flink, and Apache Camel.
Partner with business, architecture, and engineering teams to translate outcomes into secure, scalable, production-ready solutions.
Lead AWS infrastructure standards, reusable cloud patterns, and deployment practices that improve delivery speed and reliability.
Build GenAI and agentic AI solutions, including development agents, test agents, and workflow automation.
Develop Infrastructure as Code and automation using CloudFormation, Terraform/CDK, YAML build specs, and Python Lambda.
Integrate DevOps practices, automated testing, deployment pipelines, monitoring, and operational readiness into delivery work.
Collaborate with architecture and security teams to ensure solutions meet enterprise standards for compliance, resilience, maintainability, and scalability.
Mentor engineers, share technical learnings, contribute to reusable patterns, and help improve overall engineering practices across teams.