We are seeking a proactive and experienced Engineering Manager to lead and scale our agile engineering team. This is a hands-on leadership role responsible for ensuring the timely delivery of high-performance, AI/ML powered Data Analytics solutions.

Key Responsibilities

- Team Leadership Mentorship: Lead, mentor, and grow a high-performing engineering team.
- Agile Delivery Management: Facilitate Agile ceremonies: daily standups, sprint planning, and retrospectives. Plan and manage sprints, monitor velocity, and track delivery metrics. Ensure alignment with the product roadmap and timely feature delivery. Balance task allocation and team workloads effectively.
- Hands-On Technical Oversight: Be hands-on when required in Python based projects and microservices. Enforce coding standards and modern development practices. Review code and ensure delivery of maintainable, high quality software. Troubleshoot and resolve performance, scalability, and deployment issues.
- Architecture Deployment: Own solution architecture with a focus on scalability, security, and performance. Oversee containerization and deployment processes, including Docker based on-premise deployments. Collaborate with DevOps to ensure smooth CI/CD and version control practices.
- Cross functional Collaboration: Work closely with Product Managers, Business Stakeholders, and QA teams.



Lead discussions on bugs, technical challenges, and product improvements.

Requirements

Required Skills Qualifications

- 15+ years of software development experience, including 4+ years in a leadership role.
- Strong Python development experience, especially in scalable, production-grade systems.
- Proficient in Python based frameworks such as Django, Flask, and FastAPI.
- Experience with Elasticsearch for search and analytics use cases.
- Hands-on experience in Docker and on-premise deployment of enterprise products.
- Familiarity with PostgreSQL and NoSQL databases.
- Good understanding of data engineering pipelines, ETL processes, and related tools (good to have).
- Strong background in Agile methodologies, sprint planning, and delivery oversight.
- Experience with version control systems like Git and CI/CD tools.
- Solid grasp of scalable architecture, high availability, and system performance optimization.
- Excellent communication, leadership, and problem-solving abilities.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Engineering Manager (Delhi)
🏢 Innefu Labs
📍 Delhi