Engineering Manager
3 days ago
Experience Required: 12+ years (including 4+ years in engineering leadership)
Employment Type: Full-time
Company Description – Innefu Labs ()
Founded in 2010 , Innefu Labs is a cutting-edge AI-driven R&D organization focused on delivering advanced Data Analytics and Information Security solutions. With innovation at its core, the company was established with a mission to drive high-end R&D that results in globally competitive products and contributes to national economic growth.
With over 100+ successful deployments across the Indian Subcontinent , Middle East , and Southeast Asia , Innefu has emerged as a de facto leader in AI for National and Cyber Security . Our proprietary product suite serves a diverse clientele, including Defense & Intelligence agencies, Law Enforcement, Financial Intelligence Units, BFSI , and several Fortune 500 companies .
Trusted by some of the most sensitive and mission-critical organizations, we bring unparalleled expertise in handling secure and large-scale installations. Our core philosophy revolves around building state-of-the-art, problem-solving products backed by exceptional customer support to ensure 100% client satisfaction.
We are seeking a proactive and experienced Engineering Manager to lead and scale our dynamic engineering team. This is a hands-on leadership role responsible for ensuring the timely delivery of high-performance, AI/ML-powered Data Analytics solutions.
Lead, mentor, and grow a high-performing engineering team.
~ Drive performance management including quarterly appraisals.
~ Manage resource planning, hiring, and team structure.
~(Good to have) Experience leading Data Engineering teams, including ETL pipeline development.
Agile & Delivery Management
Facilitate Agile ceremonies: daily standups, sprint planning, and retrospectives.
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.
12+ 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.
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