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Innefu Labs - Engineering Manager - Software Development Job Opening In Delhi Division – Now Hiring Innefu Labs Pvt. Ltd.


Job description

<p><p><b>About the job :</b><br/><br/>Job Title : Engineering Manager <br/><br/>Location : Delhi 5 Day Work From office<br/><br/> Experience Required : 12+ years (including 4+ years in engineering leadership)<br/><br/> Employment Type : Full-time<br/><br/>Company Description - Innefu Labs (www.innefu.com)<br/><br/>Founded in 2010, Innefu Labs is a cutting-edge AI-driven R&D organization focused on delivering advanced Data Analytics and Information Security solutions.<br/><br/> 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.<br/><br/>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.<br/><br/> Our proprietary product suite serves a diverse clientele, including Defense & Intelligence agencies, Law Enforcement, Financial Intelligence Units, BFSI, and several Fortune 500 companies.<br/><br/>Trusted by some of the most sensitive and mission-critical organizations, we bring unparalleled expertise in handling secure and large-scale installations.<br/><br/> Our core philosophy revolves around building state-of-the-art, problem-solving products backed by exceptional customer support to ensure 100% client satisfaction.<br/><br/><b>Job Description :</b><br/><br/>We are seeking a proactive and experienced Engineering Manager to lead and scale our dynamic engineering team.<br/><br/> This is a hands-on leadership role responsible for ensuring the timely delivery of high-performance, AI/ML-powered Data Analytics solutions.<br/><br/><b>Key Responsibilities :</b><br/><br/><b>Team Leadership & Mentorship :</b><br/><br/>- Lead, mentor, and grow a high-performing engineering team.<br/><br/>- Drive performance management including quarterly appraisals.<br/><br/>- Manage resource planning, hiring, and team structure.<br/><br/>- (Good to have) Experience leading Data Engineering teams, including ETL pipeline development.<br/><br/><b>Agile & Delivery Management :</b><br/><br/>- Facilitate Agile ceremonies : daily standups, sprint planning, and retrospectives.<br/><br/>- Plan and manage sprints, monitor velocity, and track delivery metrics.<br/><br/>- Ensure alignment with the product roadmap and timely feature delivery.<br/><br/>- Balance task allocation and team workloads effectively.<br/><br/><b>Hands-On Technical Oversight :</b><br/><br/>- Be hands-on when required in Python-based projects and microservices.<br/><br/>- Enforce coding standards and modern development practices.<br/><br/>- Review code and ensure delivery of maintainable, high-quality software.<br/><br/>- Troubleshoot and resolve performance, scalability, and deployment issues.<br/><br/><b>Architecture & Deployment :</b><br/><br/>- Own solution architecture with a focus on scalability, security, and performance.<br/><br/>- Oversee containerization and deployment processes, including Docker-based on-premise deployments.<br/><br/>- Collaborate with DevOps to ensure smooth CI/CD and version control practices.<br/><br/><b>Cross-functional Collaboration :</b><br/><br/>- Work closely with Product Managers, Business Stakeholders, and QA teams.<br/><br/>- Lead discussions on bugs, technical challenges, and product improvements.<br/><br/><b>Required Skills & Qualifications :</b><br/><br/>- 12+ years of software development experience, including 4+ years in a leadership role.<br/><br/>- Strong Python development experience, especially in scalable, production-grade systems.<br/><br/>- Proficient in Python-based frameworks such as Django, Flask, and FastAPI.<br/><br/>- Experience with Elasticsearch for search and analytics use cases.<br/><br/>- Hands-on experience in Docker and on-premise deployment of enterprise products.<br/><br/>- Familiarity with PostgreSQL and NoSQL databases.<br/><br/>- Good understanding of data engineering pipelines, ETL processes, and related tools (good to have).<br/><br/>- Strong background in Agile methodologies, sprint planning, and delivery oversight.<br/><br/>- Experience with version control systems like Git and CI/CD tools.<br/><br/>- Solid grasp of scalable architecture, high availability, and system performance optimization.<br/><br/>- Excellent communication, leadership, and problem-solving abilities</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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