Golang Developer

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.