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Engineering Manager (India)

Code and Theory
CompanyCode and Theory
CategoryEngineering
LocationBengaluru
RemoteOn-site (inferred)
EmploymentNot stated
LevelManager
SalaryNot stated by the employer
Posted11 Jun 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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Description
Our engineering team ensures Code and Theory delivers innovative, immersive web experiences that delight our clients and their customers. We are always striving to balance the demanding nature of working on cutting-edge technologies with the real-world demands of high performance, high security, and accessibility. Working in collaboration with our multi-disciplinary engineering, design, and quality assurance teams, you will build software that solves real-world problems for incredible clients. React is our most frequently implemented frontend framework and we have built up substantial skill in implementing React and its ecosystem of technologies. Our Engineering Managers partner with our cross-functional teams to identify and implement innovative technologies that enhance customer experiences and drive business growth. WHAT YOU’LL DO Lead and grow a high-performing team of engineers, fostering a culture of ownership, innovation, continuous learning, and engineering excellence Drive the delivery of scalable, secure, and maintainable products while balancing technical quality, business impact, and speed of execution Actively participate in architecture, system design, code reviews, and critical technical decision-making, serving as a technical leader for the team Hands on coding as part of the client projects in multiple technologies Champion AI-enabled software development practices, leveraging tools such as Claude, Cursor, and Vercel/V0 to improve productivity, quality, and developer experience Continuously evaluate and introduce modern engineering practices, tools, automations, and workflows that enhance team effectiveness and accelerate delivery Mentor and coach engineers through hands-on guidance, technical leadership, and career development, helping them grow their technical and problem-solving capabilities Partner closely with Product, Design, Architecture, and other cross-functional stakeholders to align engineering efforts with strategic business outcomes Build and scale engineering teams through hiring, performance management, and fostering an inclusive, collaborative, and high-accountability culture Establish and uphold engineering standards around architecture, testing, CI/CD, observability, security, and operational excellence Represent the engineering team with senior leadership, customers, and partners, effectively communicating technical strategy, progress, risks, and opportunities WHAT YOU'LL NEED Total 12–15 years of IT experience, including a minimum of 5+ years in an Engineering Management role, with a proven track record of success as a Lead/Senior Engineer prior to that Deep expertise in ReactJS, NextJS, TypeScript, JavaScript, NodeJS, Design Systems, HTML/CSS, Storybook, and Tailwind CSS Mandatory current experience in hands-on coding in the above technologies and beyond Strong experience working with Headless CMS platforms such as Contentful or Sanity Experience deploying and operating applications on platforms such as Vercel Hands-on experience in system design and architecture, including leading technical discussions, evaluating trade-offs, and making informed architectural decisions Experience working in modern product engineering environments, embracing iterative delivery, continuous experimentation, rapid feedback loops, and outcome-driven execution Demonstrated expertise in AI-assisted software development is mandatory Extensive hands-on experience using AI engineering tools such as Claude, Cursor, GitHub Copilot, ChatGPT, or equivalent platforms to accelerate software delivery, architecture design, debugging, code reviews, testing, documentation, and developer productivity Hands-on experience developing agents, sub-agents, workflow orchestration and automation with agents Proven ability to effectively integrate Agentic Engineering into day-to-day engineering workflows and establish best practices for AI-enhanced processes across teams
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