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Global Engineering Manager

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: Insight Global
Full Time position
Listed on 2026-02-28
Job specializations:
  • Software Development
    Cloud Engineer - Software, Full Stack Developer, Backend Developer, Software Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Job Description

Insight Global is hiring a Global IT Engineering Manager for our large consulting client. This role is hybrid, onsite in the clients office site in India (either Hyderabad or Gurugram)

Day to Day
  • Serve as a hands‑on technical leader within an application frameworks squad, guiding architecture and engineering standards.
  • Design, build, and optimize scalable, cloud‑native web applications using modern MEAN/MERN stacks.
  • Lead end‑to‑end solution delivery, from technical design through production readiness.
  • Build and maintain resilient APIs, microservices, and backend systems with a focus on performance, observability, and cost efficiency.
  • Collaborate closely with architects, product managers, designers, and QA to translate business needs into scalable solutions.
  • Mentor and coach frontend, backend, and full‑stack engineers on architecture, design patterns, and best practices.
  • Drive adoption of modern development patterns including microservices, serverless, and AI‑assisted development.
  • Own CI/CD pipelines, production readiness, incident response, and root‑cause analysis.
  • Ensure secure coding practices and compliance with enterprise security standards.

Compensation:
Max 36L - 30L base. + up to 16% variable

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  learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements
  • 10–14+ years of relevant full‑stack development experience.
  • Expert‑level experience with React and/or Angular, Node.js, Express.js or NestJS, and JavaScript/Type Script.
  • Strong background designing distributed systems and scalable web architectures.
  • Experience building APIs and microservices with a focus on performance and reliability.
  • Hands‑on knowledge of caching and data stores such as Redis, Mongo

    DB, Postgre

    SQL, or Dynamo

    DB.
  • Familiarity with AI‑driven development concepts such as GenAI, Lang Chain, vector databases, MCP server patterns, or LLM‑based automation.
  • Proven experience with CI/CD, Docker, Infrastructure as Code, and modern Dev Ops practices.
  • Strong testing discipline using tools such as Jest, Mocha, Jasmine, Cypress, or similar.
  • Experience leading and mentoring engineering teams.
  • Knowledge of authentication and authorization standards (JWT, OAuth, identity providers).
  • Strong cross‑functional communication skills and ability to lead technical initiatives. Experience using Python for backend services or AI components.
  • Familiarity with Graph

    QL, gRPC, Web Sockets, or real‑time communication frameworks.
  • Experience integrating CMS platforms (e.g., Contentful, Storyblok).
  • Performance engineering experience, including profiling and load testing.
  • Exposure to Kubernetes or ECS for container orchestration.
  • Background in consulting or fast‑paced, global engineering environments.
  • Interest in shaping AI‑powered application frameworks and shared platforms.
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