Forward Deployed Engineer - JAVA / AWS / Vertex AI

18 days ago

Chicago, IL, USA +3 moreStaff+

Base Salary

$116k - $174k/yr

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 deliver secure, scalable, production-ready solutions.
Lead AWS infrastructure standards, reusable cloud patterns, and application deployment practices.
Build GenAI and agentic AI solutions, including development agents, test agents, and workflow automation.
Develop Infrastructure as Code and cloud automation using CloudFormation, Terraform/CDK, YAML build specifications, and Python Lambda.
Integrate automated testing, deployment pipelines, monitoring, operational readiness, and DevOps practices into delivery work.
Collaborate with architecture and security teams on compliance, resilience, maintainability, and scalability.
Mentor engineers, share technical knowledge, and improve reusable engineering patterns and practices.

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline.
At least 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 enterprise applications.
Strong AWS application infrastructure experience, including Lambda, SQS, SNS, S3, API Gateway, IAM, CloudWatch, CI/CD, observability, and production readiness.
Experience applying GenAI or agentic AI to engineering workflows such as code generation, test automation, workflow orchestration, and productivity improvement.
Ability to communicate across the organization and influence leadership, architecture, product, business, and engineering stakeholders.
Experience with Vertex AI, Google ADK, GCP services, agentic AI frameworks, or AI-assisted engineering tools is advantageous.
Experience with CI/CD, automated testing, observability, reliability engineering, and modern DevOps operating models is advantageous.
Candidates must be authorized to work in the US without company sponsorship.

Hybrid work schedule with an expectation of working in an office 3 days per week.
The company does not support the STEM OPT I-983 Training Plan endorsement for this position.
The total compensation package may include bonuses, long-term incentives, and on-the-spot recognition in addition to base pay.

10,000+ employees