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-reputed company.
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 reputed company-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: reputed company Copilot, reputed company, 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 reputed company Copilot, reputed company, 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 tech
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