{"schemaVersion":"jobsearcher.job.v1","id":"ecfb8f92c9dbf99ac9a3cf66","url":"https://jobsearcher.com/jobs/ecfb8f92c9dbf99ac9a3cf66","canonicalUrl":"https://jobsearcher.com/jobs/ecfb8f92c9dbf99ac9a3cf66","title":"Forward Deployed engineer","description":"Role summary:Owns an entire mid-size engagement or leads a major workstream on a strategic program (e.g., a workflow-modernization (Pega→Camunda) or data-modernization domain). Acts as the technical representative for Persistent to the client at the module level.Key Responsibilities:• Lead design and delivery of a program module; set code standards and module architecture• Scope new workstreams; translate vague executive asks into concrete engineering plans• Drive AIDLC adoption and measure Copilot / Speckit ROI on the module• Lead design and PR reviews; mentor L1/L2 FDEs• Own the client technical relationship at workstream/module levelEngineering Skills: • Java versions 8, 11, 17, 21, SOLID principles, OOP concepts, Design patterns, Functional interfaces Java migration patterns• Spring Framework – Core Concepts - Dependency Injection, MVC architecture, Controller responsibilities, Transaction management, Core Spring annotations)• Spring Boot - (Spring Boot features, Core annotations, Dependency Injection, Application context, @SpringBootTest, Global exception handling, Configuration management, Multi-environment setup, ORM best practices, Security basics, Multiple DB connections, Version upgrades)• Microservices Architecture (Monolith to microservices principles, Microservice patterns, Saga pattern, Orchestration vs Choreography, API Gateway, Distributed data consistency, Failure handling, Resilience strategies)• REST APIs & Integration (REST lifecycle, Spring REST annotations, External API calls, Timeout & fallback handling, API performance troubleshooting)• Caching & Performance Optimization (Redis caching, @Cacheable, Cache eviction strategies, Performance tuning)• Security (Authentication & Authorization, Spring Security basics, Secure configuration management, Certificates & credentials handling)AIDLC & GenAI Capability:• Understands the AIDLC stages and where AI accelerates the SDLC• LLM application basics: prompting, RAG concept, tool/function calling• Effective day-to-day use of GitHub Copilot; writes simple eval cases• Solid LLM application patterns — RAG, tool/function calling, MCP basics• Spec-driven development; prompt and context-engineering fundamentals• Designs RAG and agentic solutions; advanced context engineering• MCP integrations across enterprise tools; defines eval strategy• Drives measurable developer-productivity outcomes from AI toolingPrimary Tools & Stack:• Java/Spring Boot, GitHub + Copilot, Maven, PostgreSQL, Docker, Jira/Confluence, GCP fundamentals.• Harness, GKE/Cloud Run, Kafka, SonarQube, Vertex AI basics; IBM Watsonx for Z (Track 3).• Terraform, Camunda/Appian, Vertex AI, agentic frameworks (Agents + Skills, MCP).Client/Stakeholder Engagement:Trusted technical advisor at the module level; runs client design reviews and demos.Behavioral & Leadership Expectations:Technical challenges, Code reviews, Problem solving skills)• Technical leadership and accountability for outcomes• Mentoring and firm contribution (playbooks, reusable assets)","company":"Rivago Infotech","rawCompany":"rivago infotech","city":"Phoenix","state":"AZ","isRemote":false,"isActive":false,"createdAt":"2026-08-27T07:48:19.977Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Forward Deployed engineer","description":"Role summary:Owns an entire mid-size engagement or leads a major workstream on a strategic program (e.g., a workflow-modernization (Pega→Camunda) or data-modernization domain). Acts as the technical representative for Persistent to the client at the module level.Key Responsibilities:• Lead design and delivery of a program module; set code standards and module architecture• Scope new workstreams; translate vague executive asks into concrete engineering plans• Drive AIDLC adoption and measure Copilot / Speckit ROI on the module• Lead design and PR reviews; mentor L1/L2 FDEs• Own the client technical relationship at workstream/module levelEngineering Skills: • Java versions 8, 11, 17, 21, SOLID principles, OOP concepts, Design patterns, Functional interfaces Java migration patterns• Spring Framework – Core Concepts - Dependency Injection, MVC architecture, Controller responsibilities, Transaction management, Core Spring annotations)• Spring Boot - (Spring Boot features, Core annotations, Dependency Injection, Application context, @SpringBootTest, Global exception handling, Configuration management, Multi-environment setup, ORM best practices, Security basics, Multiple DB connections, Version upgrades)• Microservices Architecture (Monolith to microservices principles, Microservice patterns, Saga pattern, Orchestration vs Choreography, API Gateway, Distributed data consistency, Failure handling, Resilience strategies)• REST APIs & Integration (REST lifecycle, Spring REST annotations, External API calls, Timeout & fallback handling, API performance troubleshooting)• Caching & Performance Optimization (Redis caching, @Cacheable, Cache eviction strategies, Performance tuning)• Security (Authentication & Authorization, Spring Security basics, Secure configuration management, Certificates & credentials handling)AIDLC & GenAI Capability:• Understands the AIDLC stages and where AI accelerates the SDLC• LLM application basics: prompting, RAG concept, tool/function calling• Effective day-to-day use of GitHub Copilot; writes simple eval cases• Solid LLM application patterns — RAG, tool/function calling, MCP basics• Spec-driven development; prompt and context-engineering fundamentals• Designs RAG and agentic solutions; advanced context engineering• MCP integrations across enterprise tools; defines eval strategy• Drives measurable developer-productivity outcomes from AI toolingPrimary Tools & Stack:• Java/Spring Boot, GitHub + Copilot, Maven, PostgreSQL, Docker, Jira/Confluence, GCP fundamentals.• Harness, GKE/Cloud Run, Kafka, SonarQube, Vertex AI basics; IBM Watsonx for Z (Track 3).• Terraform, Camunda/Appian, Vertex AI, agentic frameworks (Agents + Skills, MCP).Client/Stakeholder Engagement:Trusted technical advisor at the module level; runs client design reviews and demos.Behavioral & Leadership Expectations:Technical challenges, Code reviews, Problem solving skills)• Technical leadership and accountability for outcomes• Mentoring and firm contribution (playbooks, reusable assets)","datePosted":"2026-08-27T07:48:19.977Z","dateModified":"2026-08-27T07:48:19.977Z","hiringOrganization":{"@type":"Organization","name":"Rivago Infotech","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Phoenix","addressRegion":"AZ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ecfb8f92c9dbf99ac9a3cf66"},"url":"https://jobsearcher.com/jobs/ecfb8f92c9dbf99ac9a3cf66"}}