Golang developer

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.

1. 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.

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.

1. 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.

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