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Engineering Head/Director - Video Intelligence in Bangalore, भारत

Pivotal

  • On-siteWork from the office
  • ContractFixed-term or freelance

Bangalore, भारत

Head/Director of EngineeringExperience: 20+ years in Software EngineeringLocation: Kolkata/BangaloreReporting to: CTOTeam Size: 50+ Engineering professionalsAbout Company:Company is an Indian video intelligence and technology company building solutions across Video Management Systems (VMS), AI Video Analytics, Traffic Management, Face Recognition, Cloud/VSaaS and Edge https://jobeax.com/link/LeZXMo8QlBebCewp technology is deployed across 150+ cities, enterprises, public-sector organisations and critical infrastructure, with more than 300,000 cameras streaming through our platform. Our engineering organisation works across video streaming, computer vision, AI, cloud, edge, embedded systems and enterprise-scale https://jobeax.com/link/Q1Gr1JP7ymVGDwYK are looking for an experienced Head/Director of Engineering to lead our engineering organization and play a critical role in scaling our technology platform for the next phase of growth across India, the US, MEA and https://jobeax.com/link/o29Ww7KiYI0ZlJ2B Opportunity:This is a hands-on engineering leadership role for someone who enjoys solving complex technology and scale problems not simply managing https://jobeax.com/link/YcBGAlO8WAHpMbP4 will own engineering across a large, mission-critical video platform where performance, reliability, scalability, security and cost efficiency directly impact customer https://jobeax.com/link/cN4UBhHcg1xWtyoM platform operates across on-premise, edge and cloud environments, supporting demanding video workloads and large-scale deployments. The role will involve modernizing a mature technology platform while continuing to deliver for existing https://jobeax.com/link/gjz9TklvIHnTZhSf Responsibilities:1. Engineering Strategy & Architecture:- Define and execute the 2 - 3 year engineering and architecture roadmap in partnership with the CTO/founder.- Drive convergence across on-premise, edge and cloud architectures.- Build scalable architectures for video streaming, AI/ML inference, analytics and distributed platforms.- Drive the evolution towards multimodal video intelligence and GenAI-enabled capabilities.- Ensure technology decisions balance innovation, scalability, reliability and cost.2. Engineering Delivery:- Own engineering delivery across the complete product portfolio.- Ensure predictable releases, high quality and adherence to engineering commitments.- Establish strong engineering processes around planning, development, testing, release and production support.- Work closely with Product, R&D, Presales, Sales and Technical Support to deliver customer commitments.- Lead engineering execution for large government and enterprise programmes.3. Performance & Scalability:- Make performance, latency, channel density and cost per camera core engineering metrics.- Improve video processing and inference efficiency across GPU, edge and cloud environments.- Drive optimisation of video pipelines and distributed systems at scale.- Ensure the platform can support increasing camera volumes without compromising reliability or customer experience.4. Technology & Product Engineering:- Lead engineering across: Video Management Systems, Video Streaming, AI/Computer Vision, Video Analytics, Traffic Management, Face Recognition, Cloud/VSaaS, Edge Computing, Embedded Systems, QA & Automation.- Ensure architectural consistency across multiple deployment environments.- Modernise legacy systems while continuing to support a large installed customer base.5. Reliability, Security & Quality:- Own engineering standards for uptime, data integrity, backward compatibility and security.- Establish robust engineering practices for mission-critical and large-scale deployments.- Ensure compliance with relevant government and security standards, including STQC and government-grade benchmarks.- Build engineering systems that can operate reliably under real-world field conditions.6. AI & Engineering Productivity:- Drive responsible adoption of AI-assisted software development and agentic engineering tools.- Establish guidelines for the use of AI-generated code, including code review, security, provenance and quality controls.- Identify opportunities to improve engineering productivity without compromising reliability or security.- Partner with R&D on productization of deep-learning and computer-vision systems.7. People & Organisation Leadership:- Lead and develop a 50+ member engineering organisation across systems, AI/CV, platform, embedded engineering and QA.- Build a strong second line of Engineering Managers, Senior Managers and Architects.- Hire, develop and retain high-quality engineering talent.- Build succession and leadership capability within the engineering organisation.- Address organisational bottlenecks, single points of failure and capability gaps.- Create a culture of ownership, accountability, technical excellence and continuous improvement.8. Customer & Business Partnership:- Act as the engineering face of the organisation for strategic customers, partners and system integrators.- Participate in critical customer escalations and solution discussions.- Translate customer and market requirements into engineering priorities.- Partner with Product and Business teams to align technology investments with business https://jobeax.com/link/cxnB3j31LxfyG34t We Are Looking For:Essential Experience & Skills:- 20+ years of experience in designing software architecture for distributed computing platform with at least 8+ years leading large engineering teams, including managers.- Strong experience leading engineering organisations of 50+ professionals.- Proven experience owning products at scale across architecture, quality, performance and cost.- Strong understanding of cloud technologies and distributed systems.- Hands-on technical depth in one or more of: C++, Java, Golang, Real-time video/streaming, High-performance computing, Distributed platforms.- Strong understanding of image processing, AI and computer vision.- Ability to review architecture and code and challenge technical decisions credibly.- Experience with production-grade deep-learning systems, including: Model accuracy, Inference performance, Cost optimisation, Evaluation methodology, Production monitoring.- Demonstrated experience hiring, developing and retaining strong engineering talent.- Experience turning around a challenging engineering team, product or programme.- Strong experience working in a high-ownership, fast-paced technology https://jobeax.com/link/JbMAed480y15fZGM Preferred:- Experience in one or more of the following will be highly valuable: Video Management Systems / Video Analytics, Video streaming and media pipelines, GStreamer / FFmpeg, ONVIF / RTSP, Edge AI / inference, NVIDIA Jetson / TensorRT, ONNX Runtime / OpenVINO, MLOps and model drift detection, On-premise to multi-tenant SaaS transformation, Public-sector / government technology deployments, Large-scale enterprise or critical-infrastructure programmes, Tender-driven technology environments and compliance https://jobeax.com/link/CmaTUKy1KBTfj9rP Expectations:- We are looking for a leader who is technically credible and intellectually curious.- Remains close enough to technology to understand complex engineering problems.- Communicates bad news early and transparently.- Takes ownership rather than waiting for perfect processes or information.- Can balance short-term delivery with long-term architecture.- Is comfortable making difficult technology and people decisions.- Builds strong leaders rather than becoming the single point of decision-making.- Treats privacy, security and responsible AI as fundamental engineering https://jobeax.com/link/sUsHHDgzAOUpK2U1 Join Company?:- Lead engineering for a large-scale video intelligence platform.- Work across AI, computer vision, cloud, edge, video streaming and distributed systems.- Influence technology strategy across India and international markets.- Work directly with senior leadership and the technology leadership team.- Own technology that operates in the real world across smart cities, transportation, banking, manufacturing, education, aviation and retail.- Opportunity to build and scale a strong engineering organisation from Kolkata.- Leadership role with visibility across research, product development, production and field deployment.- If you are passionate about leading an innovative, energetic, and technology-driven engineering team, we invite you to be part of Company' growth journey! (ref:hirist.tech)

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