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Job Title: Senior Engineering Manager
Location: Delhi 5 Day Work From office
Experience Required: 15+ years (including 6+ years in engineering leadership)
Employment Type: Full-time
Company Description – Innefu Labs (www.innefu.com)
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.
Job Description
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.
Key Responsibilities
Team Leadership & Mentorship
Agile & Delivery Management
Hands-On Technical Oversight
Architecture & Deployment
Cross-functional Collaboration
Required Skills & Qualifications
Job ID: 148341045
Skills:
database and system performance optimization, observability tools, AI adoption, AI-powered product features, MLOps practices, data engineering pipelines, microservices architecture, CI CD pipelines
Skills:
Spring Boot & AWS, Kafka & NoSQL Databases, System Design & Algorithms, Java Backend Development, Microservices Architecture
Skills:
Machine Learning, Ml, MLops, AWS, Python, Azure, Gcp, agentic frameworks, Ai, LLM APIs, time series forecasting, CI CD, conversational AI patterns, autonomous agent architectures, prompt engineering
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