Posted on: 16/10/2026
Head/Director of Engineering
Experience: 20+ years in Software Engineering
Location: Kolkata/Bangalore
Reporting to: CTO
Team Size: 50+ Engineering professionals
About 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 Computing.
Our 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 platforms.
We 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 APAC.
The Opportunity:
This is a hands-on engineering leadership role for someone who enjoys solving complex technology and scale problems not simply managing delivery.
You will own engineering across a large, mission-critical video platform where performance, reliability, scalability, security and cost efficiency directly impact customer outcomes.
Our 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 customers.
Key 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 objectives.
What 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 environment.
Strongly 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 audits.
Leadership 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 responsibilities.
Why 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!
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Posted by
Aravinthu
Executive Search recruiter at Talent Scout Management Solutions/ PIVOTAL
Last Active: 16 Oct 2026
Posted in
AI/ML
Functional Area
Engineering Management
Job Code
1678945