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Experience: 10–14 yearsiMerit is a global leader in AI data solutions, trusted by the world's 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 world's 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.
As Engineering Manager – Platform Architecture, you will architect and oversee the technical foundation of iMerit's 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.
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.
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.
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.
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.
