Title: INTL India - Java/AI Developer Location: India Job Description: ZIP/Postal Code: 02895 Job Type: Contract Category: Programmer / Developer Req #: BOS-b21acec6-510d-4334-8bb1-ea5b920ad63d Pay Rate: $10 - $12 (hourly estimate) Job Description Insight Global is seeking a remote senior INTL (India) Java/AI Developer to join a Fortune 10 retail pharmacy client. We are seeking someone with strong backend expertise in Java (Spring Boot) and React and recent hands on experience using Python/AI tools to accelerate development. Compensation: $10/hr to $13/hr Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401K retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Required Skills & Experience -6+ years engineering experience, including 2+ designing AI-assisted or agent-driven systems -Expert in Java (Spring Boot), Python, and React for building scalable digital services -Strong cloud engineering skills (Kubernetes, Cloud Run, IAM, networking) (GCP preferred) -Proficient with Terraform IaC for module creation, remote state, and environment automation -Hands-on experience integrating LLMs (GPT 4.x, Claude, Gemini, SWE 1.5) into backend or UI flows -Knowledge of Kafka, GraphQL schema design, resolvers, and API gateway patterns -Knowledge of Elasticsearch, SQL and NoSQL databases -Ability to leverage Google Antigravity for agent first development workflows (multi agent orchestration, autonomous code execution, Artifacts for verification) -Experience with Anthropic Claude Sonet,Clawd Bot / Clawdbot or other open source , understanding AI agents that run locally, integrate with Claude/GPT models, and execute real system tasks -Demonstrated ability to lead architecture, mentor engineers, and improve AI augmented engineering Nice to Have Skills & Experience -Prior experience with Windsurf, autonomous coding agents, or MCP-based developer workflows _Familiarity with vector databases, embeddings, retrieval pipelines, or agentic automation -CI/CD design with GitHub Actions + Workload Identity Federation, Snyk, Sonar, and performance testing Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

• Design, develop, and maintain scalable and reliable backend services using Go • Contribute to the technical roadmap and evolution of core integration platforms • Collaborate with engineering teams to integrate services across the platform • Design and optimize data transformation processes to ensure accuracy and efficiency • Architect, deploy, and manage containerized services using Kubernetes and Terraform • Implement best practices for code quality, security, observability, and scalability • Build and maintain monitoring solutions to ensure system performance and reliability • Troubleshoot and resolve issues related to integration, data processing, and deployments • Participate in technical discussions, design reviews, and solution definition • Support team growth through knowledge sharing and mentoring when needed

• Develop and maintain backend services using Go • Contribute to integration of services across the platform • Support the design and implementation of data transformation processes • Help optimize systems for performance, reliability, and scalability • Work with containerized environments using Kubernetes and Terraform • Follow best practices for code quality, security, and observability • Assist in building and maintaining monitoring solutions • Troubleshoot and resolve issues related to integration, data processing, and deployments • Collaborate with engineering and architecture teams on technical solutions

• Design and implement backend-heavy features using TypeScript and Node.js • Build and evolve REST APIs, focusing on correctness, consistency and clear boundaries between services • Work with SQL (PostgreSQL): data modeling, migrations, and consistency guarantees • Participate in tech spikes: explore unclear problems and turn them into concrete technical plans • Take full ownership of one or more services - from requirements and implementation to production support • Help drive integration work with external partners (vendors, clients) when needed • Work with production systems: investigate incidents, debug API failures, analyze data issues • Improve observability: logs, metrics, visibility into system behavior • Identify weak spots in reliability, performance or monitoring and propose improvements • Apply reliability patterns: timeouts, retries, idempotency, graceful degradation • Handle incidents responsibly and help improve processes to prevent problems to occur again • Collaborate with Product and EM to clarify requirements and reduce ambiguity early • Contribute to technical discussions, raise risks, explain trade-offs and propose balanced solutions • Review code and mentor mid-level engineers • Share knowledge via pairing, documentation and internal discussions • Help improve engineering practices: testing, code quality, reliability patterns • Contribute to React code when features require UI updates or customer-facing flows