Forward Deployed engineer

Rivago Infotech Inc

Phoenix (AZ)

On-site

USD 130,000 - 170,000

Full time

4 days ago
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Job summary

Rivago Infotech Inc. seeks a senior software architect to own and deliver a major program module (e.g., workflow modernization or data modernization). You will set code standards, architecture, and drive client interactions at the module level.

You will lead design reviews, mentor junior engineers, and scope new workstreams. Proficiency in Java/Spring, microservices, REST, security, and AI-enabled tooling is essential.

Qualifications

  • Experience leading design and delivery of a program module; set code standards and module architecture.
  • Ability to translate executive asks into concrete engineering plans and scope new workstreams.
  • Experience driving AI/ML tooling adoption and measuring ROI for development modules.
  • Ability to lead design reviews and PR reviews; mentor junior engineers (L1/L2).
  • Own the client technical relationship at the workstream/module level.

Responsibilities

  • Lead design and delivery of a program module; set code standards and module architecture.
  • Scope new workstreams; translate vague 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 level.
  • Utilize Java versions 8, 11, 17, 21; apply SOLID principles and design patterns.

Skills

Java
Spring Boot
Microservices
REST APIs
Security
Design patterns
OOP
SOLID

Tools

GitHub Copilot
Maven
PostgreSQL
Docker
Jira/Confluence
GCP fundamentals
Kafka

Job description

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 level
  • 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
  • Effective day-to-day use of GitHub Copilot; writes simple eval cases
  • Spec-driven development; prompt and context-engineering fundamentals
  • Designs RAG and agentic solutions; advanced context engineering
  • Drives measurable developer-productivity outcomes from AI tooling
Primary 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)
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