Generative Systems Architect (Golang) - INTL India

Insight Global is looking for a Generative Systems Architect (Golang) for one of our fastest growing start up clients local to Hyderabad, India. This role evolves the traditional architect position by leveraging a full-stack AI development ecosystem. You will fuse your software development experience and deep expertise in the Go programming language with a suite of sophisticated AI tools. Your mission is to steer the architectural design and automated development of mission-critical identity and access management (IAM) systems. Instead of direct, hands-on coding, you will be the strategic mind orchestrating our AI coding agents. You will translate complex business objectives into architectural blueprints and high-level prompts, guiding our AI from ideation to implementation. You will drive technical excellence by directing AI, not by writing code manually. This role can pay between 30-40 LPA depending on years of experience and skillset.

REQUIRED SKILLS AND EXPERIENCE

-Direct, hands-on experience with our AI-first toolchain, including devplan, ClaudeCode, and CodeRabbit, or similar generative development platforms.

-4-6 years of software development experience with strong programming and computer science fundamentals.

-4-6 years of deep expertise in the Go programming language and its ecosystem, enabling you to effectively guide, critique, and validate AI-generated Go code.

-Extensive experience designing microservices architectures and distributed systems.

-Strong architectural knowledge of cloud platforms (AWS/GCP/Azure) and containerization technologies (Docker, Kubernetes).

-Proficiency in defining schemas and interaction patterns for database technologies (SQL and NoSQL).

-Deep understanding of event-driven principles, including message queues and event streaming (Kafka, RabbitMQ). -Expertise in RESTful APIs, gRPC, and modern API design principles.

-Experience with identity and access management (IAM) solutions. Familiarity with identity providers like Auth0, Okta, or Azure AD is highly preferred.

-Solid understanding of CI/CD pipelines and DevOps practices as they apply to automating the deployment of AI-generated code.

-Knowledge of how to implement monitoring, logging, and observability using tools like Prometheus, Grafana, or the ELK stack.

Please reply if you are interested in learning more and we can set up a time to speak further!