Engineering Technical Lead - Full Stack Development

You are looking for a Tech Lead position at Impacteers where you will be responsible for leading the design, development, and delivery of scalable, reliable, and high-quality technology solutions across the platform. Your role will involve collaborating closely with product, design, engineering, and cross-functional teams to translate business and product requirements into practical technical solutions. This position requires strong engineering fundamentals, hands-on development experience, system design maturity, ownership mindset, and the ability to guide engineers while maintaining close involvement in execution. Role Overview: As a Tech Lead, you will: - Lead the technical planning, architecture, and execution of product features across web, backend, and platform systems - Translate product and business requirements into scalable, maintainable, and technically sound solutions - Work closely with product managers, designers, and engineers to define implementation approaches, technical trade-offs, and release plans - Own technical quality across assigned modules, including code structure, performance, reliability, security, and maintainability - Guide engineers through code reviews, design discussions, implementation planning, debugging, and delivery - Break down complex technical problems into clear tasks, milestones, and engineering plans - Contribute hands-on to development where required, especially for complex, high-impact, or foundational work - Improve engineering processes, development standards, documentation, and release discipline - Ensure smooth integration between frontend, backend, APIs, databases, third-party tools, and AI-enabled systems - Identify technical risks early and propose practical solutions or phased approaches - Collaborate with cross-functional teams to balance speed, quality, scalability, and business priorities - Contribute to AI-enabled product development by identifying where AI systems, automation, integrations, or intelligent workflows can improve product value - Work with teams to translate AI capabilities into reliable, usable, and production-ready technical solutions Why This Role Might Be for You: - You want to build products that create real career and hiring impact - You're excited by the opportunity to work on AI-powered platforms and future-of-work products - You enjoy solving complex technical problems and turning ambiguous requirements into working systems - You like staying hands-on while also guiding engineers and improving team execution - You want to work with a fast-moving team shaping products across career tech, hiring tech, AI, and workforce transformation - You're looking for a role where engineering quality, ownership, speed, and product thinking all matter Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field - 5-8 years of experience in software engineering, full-stack development, backend engineering, or platform engineering - Prior experience leading a small engineering team, module, product pod, or technical workstream - Strong programming fundamentals and hands-on experience with modern backend and/or frontend technologies - Experience designing and building scalable web applications, APIs, services, and data-driven systems - Strong understanding of system design, database design, API design, application architecture, and integration patterns - Ability to review code, guide engineers, debug complex issues, and maintain technical quality - Comfortable working cross-functionally with product, design, QA, business, and leadership teams - Strong communication and collaboration skills with a practical problem-solving mindset - Comfortable working in a fast-paced, evolving environment with ambiguity and changing priorities - Awareness of how AI-enabled products influence architecture, reliability, user trust, data handling, and system behavior Preferred Qualifications: - Experience working with technologies such as Node.js, Python, React, Next.js, PostgreSQL, MongoDB, Redis, AWS, Docker, Kubernetes, or similar stacks - Experience building SaaS platforms, marketplaces, HR tech, edtech, career tech, hiring tech, or workflow automation products - Experience with cloud infrastructure, deployment pipelines, monitoring, logging, and production support - Strong understanding of authentication, authorization, security basics, data privacy, and performance optimization - Experience integrating third-party APIs, AI APIs, LLM workflows, automation systems, or data pipelines - Ability to make pragmatic architecture decisions while balancing speed, scalability, and maintainability - Experience mentoring engineers and improving team engineering practices - Familiarity with tools such as GitHub, Jira, Notion, Linear, Postman, Figma, CI/CD tools, and observability platforms - Interest in AI-powered products and practical understanding of AI considerations such as latency,