Description :

Location : Bangalore, India

Experience : 1014 years

About iMerit :

iMerit is a global leader in AI data solutions, trusted by the worlds most innovative companies to power mission-critical AI initiatives.

Our platforms, Ango Workflow Automation and 3D Point Cloud Multi-Sensor Fusion ,power data pipelines for some of the worlds most advanced Autonomous Vehicle (AV), Robotics, and Mobility programs.

We are building a next-generation annotation platform designed for AV and ADAS applications.

It unifies large-scale data ingestion, workflow orchestration, AI-assisted annotation, and high-performance visualization into a seamless, real-time web environment that handles complex multi-sensor and multi-modal data sources.

About the Role :

As Engineering Manager - Platform Architecture, you will architect and oversee the technical foundation of iMerits next-generation data annotation web application.

Your primary focus will be designing distributed backend systems, scalable data infrastructure, and streaming pipelines that support data ingestion, annotation workflows, and real-time feedback loops.

Your role will be highly technical, balancing architecture ownership, hands-on coding, and technical leadership for backend and data engineers.

You will work with backend, data, and frontend teams to build a high-performance web application that integrates advanced visualization technologies (WebGL/WebGPU), streaming data pipelines, and scalable APIs for AI-assisted operations.

Key Responsibilities :

- Architect and implement the end-to-end backend and data infrastructure powering a real-time, multi-sensor data annotation web application.

- Design and build event-driven microservices using Go/Python for task orchestration, object tracking, and asynchronous data workflows.

- Develop and optimize streaming data pipelines (Kafka, Kinesis, or equivalent) for ingestion, transformation, and continuous feedback from annotation and QA systems.

- Define and structure data models and flow contracts that describe how annotation data, quality metrics, and system telemetry are stored, versioned, and exchanged across services.

- Develop SDKs and REST/gRPC APIs to enable third-party system integration, ML pipeline connectivity, and client-side tool development.

- Establish observability and performance frameworks, including metrics for latency, throughput, and reliability (SLOs and error budgets).

- Collaborate with frontend teams to ensure backend APIs and data contracts support high-performance visualization interfaces using WebGL/WebGPU.

- Partner with DevOps/SRE to enable secure deployments, CI/CD pipelines, and environment scaling across tenants.

- Contribute directly to software development, including prototyping, debugging, and performance tuning of backend and data services.

Qualifications :

- 10 - 14 years of experience in software engineering, with strong emphasis on backend and data architecture for large-scale systems.

- Proven experience designing and deploying distributed, event-driven systems and streaming data pipelines.

- Expert proficiency in Go/Python, including experience with microservices, APIs, and concurrency models.

- Deep understanding of data flows across multi-sensor and multi-modal sources, including ingestion, transformation, and synchronization.

- Experience building real-time APIs for interactive web applications and data-heavy workflows.

- Familiarity with frontend ecosystems (React, TypeScript) and rendering frameworks leveraging WebGL/WebGPU.

- Hands-on experience with CI/CD, Kubernetes, Docker, and Infrastructure as Code (Terraform, Helm).

- Excellent problem-solving and leadership abilities with the capacity to balance hands-on engineering and team guidance.

- Strong debugging and troubleshooting skills across backend systems and web applications.

Additional Qualifications :

- Prior experience with Autonomous Vehicle, Robotics, or 3D visualization platforms.

- Understanding of OpenLABEL or similar schema standards for metadata.

- Experience designing developer SDKs or integration libraries.

- Exposure to GPU-accelerated data processing or rendering architectures.

Why Join Us :

At iMerit, you will architect the data backbone behind the future of autonomy and AI.

You will work on a high-performance web application where scalable backend systems meet real-time visualization and intelligent automation.

You will design the infrastructure that connects sensor data, human expertise, and AI models into a single, seamless ecosystem - processing millions of annotations across multi-sensor and multi-modal sources.

This role offers the opportunity to combine deep technical ownership with leadership impact - guiding engineers while remaining hands-on with the systems that power cutting-edge autonomy programs.

Join us to shape the engineering foundation of intelligent data systems at global scale