We are looking for an Engineering Manager - Backend to design and develop user-friendly, scalable, and high-performance web applications. This role requires deep expertise in backend technologies, attention to detail, and the ability to collaborate with cross-functional teams.

Responsibilitie

• sDesign, develop, and maintain scalable backend systems, APIs, and data pipelines
• .Collaborate closely with frontend engineers, product managers, and AI teams to deliver cohesive features and seamless user experiences
• .Ensure the reliability, security, and performance of backend systems
• .Write clean, maintainable, and efficient code using modern backend practices
• .Implement automated testing, CI/CD workflows, and infrastructure as code (where applicable)
• .Own the end-to-end lifecycle of backend features, from architecture to deployment
• .Monitor production systems and resolve performance and scalability issues
• .Contribute to architectural decisions and help evolve our engineering best practices
• .Lead and define backend architecture decisions, ensuring systems are built for long-term scalability and maintainability
• .Mentor and guide junior and mid-level engineers through code reviews, technical discussions, and design feedback
• .Act as a technical anchor for cross-functional initiatives, translating ambiguous product requirements into clear engineering plans

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Qualificatio

• ns
  9-13 years of overall experience in backend development, preferably in SaaS or AI-driven produc
• ts.1-2 years of experience working as an Engineering Manag
• er.2-4 years of experience in working at startup [Seed/Series A or B – Require
• d].Hands-on experience building or operating AI/LLM infrastructure in production — including RAG pipelines, vector databases, LLM serving, or inference optimization — not limited to API integrations [Require
• d].Proficiency in Node.js, Python, or
• Go.Deep understanding of RESTful API desi
• gn.Strong experience with databases: PostgreSQL, MongoDB, ElasticSear
• ch.Exposure to message queues, job schedulers, or event-driven architectures (e.g., SQS, Celery, et
• c).Familiarity with cloud platforms like AWS, GCP, or Azure and containerization tools (Docker, Kubernete
• s).Experience with Git, CI/CD tools, and writing unit/integration tes
• ts.Familiarity with agentic workflows, multi-LLM orchestration, prompt evaluation frameworks, or AI observability tools is strongly preferr
• ed.Strong problem-solving skills and a mindset geared toward performance and securi
• ty.Excellent communication and collaboration abiliti