Golang Developer / Forward Deployment Engineer

Job Title: Golang Developer / Forward Deployment Engineer

Location: Remote
Job Type: Contract
Experience: 10+ Years

1. Role Overview 

We are looking for a highly skilled Forward Deployment Engineer- Golang to own the architecture and technical delivery of the Claim Validation Engine on the Target State Platform. This is a hands-on technical leadership role — the Lead owns the solution end-to-end, from architecture through implementation, working directly with client stakeholders and engineering teams to define platform architecture, set engineering standards, guide implementation, and ship scalable, secure, high-performance systems. 

Ideal candidates combine deep expertise in distributed systems, Go-based microservices, and cloud-native architecture with strong reverse-engineering instincts for legacy applications, and are fluent in modern AI-assisted software development practices. 

2. Key Responsibilities 

Technical Leadership & Solution Design 

• Own the end-to-end technical architecture of the Claim Validation Platform. 

• Design scalable, resilient, cloud-native microservices using Go and Azure. 

• Define architecture patterns, coding standards, API design principles, and engineering best practices. 

• Design extensible rule-engine capabilities to support evolving business requirements. 

• Lead architecture reviews and technical design discussions across teams. 

Platform Engineering 

• Architect and guide implementation of the Target State Platform Rule Engine. 

• Design and oversee development of the Validation API (POST /validate) and supporting services. 

• Ensure high-performance parallel rule execution with low latency and high throughput. 

• Define reusable frameworks and shared platform components. 

Reverse & Forward Engineering 

• Lead reverse engineering of legacy healthcare claim validation systems. 

• Translate business rules into scalable cloud-native microservices. 

• Drive modernization initiatives and define migration strategies for legacy platforms. 

• Establish reusable engineering patterns and accelerators. 

AI-Assisted Engineering 

• Drive adoption of AI-assisted development tools: GitHub Copilot, Cursor, LLMs, AI agents, AI skills, spec-to-code workflows. 

• Define governance for AI-generated code and engineering workflows. 

• Improve engineering productivity through AI-enabled automation. 

Engineering Excellence 

• Review architecture, code quality, security, and performance. 

• Establish CI/CD quality gates, automated testing, and deployment standards. 

• Mentor engineers through design reviews, code reviews, and technical guidance. 

• Ensure adherence to architecture standards and coding guidelines. 

Client Collaboration 

• Work directly with customer architects, product owners, and engineering leaders. 

• Lead technical workshops, architecture discussions, and solution demonstrations. 

• Translate business requirements into technical designs. 

• Resolve critical technical challenges and support delivery teams through implementation. 

3. Required Skills & Experience 

Technical Expertise (Must-Have) 

• 10+ years software engineering experience, including 3+ years as a Sr.Developer/Lead 

• Expert-level Go (Golang) and microservices architecture. 

• Full stack Development Exp is required(React and Angular)

• Strong distributed systems, REST API, and high-performance application design experience. 

• Python and modern web front-end experience (React or Angular). 

• Strong PostgreSQL / relational database design knowledge. 

• Azure, Kubernetes, Docker, Azure DevOps, cloud-native development. 

• Messaging platforms: Kafka or RabbitMQ. 

• API-first design and OpenAPI specifications. 

Architecture & Engineering 

• Proven experience designing enterprise-scale distributed systems. 

• Strong background in reverse engineering and modernizing legacy applications. 

• Experience defining architecture standards and technical governance. 

• Strong grasp of scalability, resiliency, observability, security, and performance optimization. 

AI & Modern Engineering (Differentiator) 

• Hands-on with GitHub Copilot, Cursor, LLMs, AI coding assistants, AI-driven workflows. 

• Experience integrating AI into the software development lifecycle. 

• Familiarity with AI-assisted code generation, prompt engineering, and engineering automation. 

Leadership 

• Excellent technical leadership and mentoring skills. 

• Strong communication and stakeholder management. 

• Able to lead architecture decisions while staying hands-on with implementation. 

• Experience working directly with enterprise customers in fast-paced delivery environments. 

4. Key Performance Indicators 

• Successful architecture and delivery of the Claim Validation Platform within agreed timelines. 

• High-quality, scalable, and maintainable solution architecture. 

• Successful migration of legacy business rules to the Target State Platform. 

• 85%+ automated test coverage with robust CI/CD pipelines. 

• High customer satisfaction through effective technical leadership and delivery. 

• Increased engineering productivity through adoption of AI-assisted development practices.