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Job Description

About the Role:

Engineering Manager

As an Engineering Manager, you will be responsible for driving the engineering execution, aligning technical efforts with business outcomes, and leading a cross-functional team of developers, ML engineers, and DevOps specialists. You’ll play a key role in building scalable, secure, and intelligent systems that deliver real-world impact.

Responsibilities:

  • Lead, mentor, and grow a high-performing engineering team working on complex, AI-enabled enterprise solutions.
  • Collaborate with product, design, and data science teams to define and execute the technical roadmap.
  • Own end-to-end delivery, ensuring code quality, system performance, and architectural integrity.
  • Oversee sprint planning, technical documentation, and release management.
  • Manage stakeholder expectations and ensure alignment across business and technical teams.
  • Implement engineering best practices, including CI/CD, automated testing, and infrastructure-as-code.
  • Provide hands-on technical guidance where necessary, especially in system design and architecture.

Requirements:

  • 10+ years of overall experience in software engineering with at least 3+ years in a people management or tech leadership role.
  • Solid experience with backend technologies (Node.js, Python), frontend frameworks (React/Angular), and relational databases (PostgreSQL/MySQL).
  • Strong understanding of microservices architecture, cloud infrastructure (preferably AWS), containerization (Docker, Kubernetes).
  • Experience working on AI/ML or LLM-integrated applications is highly desirable.
  • Proven track record of delivering complex products in agile environments.
  • Excellent communication and leadership skills, with experience in client or stakeholder-facing roles.

Nice to Have:

  • Experience working on enterprise SaaS platforms.
  • Exposure to tools like Apache Airflow, Redis, Kafka, or GraphQL.
  • Familiarity with MLOps and cloud-native data platforms.

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