Top Tech Jobs & Startup Jobs in Mumbai

Validates HERE HD Map and Base Map products through functional, regression, manual, and automated testing. Develops test plans, cases, and datasets; validates geospatial data pipelines; analyzes results; and tracks defects. Collaborates with Product, Engineering, and QA teams to define scenarios, investigate inconsistencies, improve testing processes, and ensure product quality.

Lead development and deployment of production-grade internal and customer-facing software, including scalable Big Data pipelines and cloud-native services. Responsibilities include Agile delivery, CI/CD, automated testing, defect analysis, production monitoring, stakeholder demonstrations, backlog planning, and 24/7 product support. The role requires strong Java backend development, Flink and Kafka expertise, REST APIs, AWS and Kubernetes deployment, databases, and DevOps practices.

Drives strategic technology outcomes across interconnected initiatives. Establishes governance frameworks, roadmaps, delivery standards, investment priorities, and executive reporting. Manages dependencies, resources, risks, stakeholder alignment, benefit realization, adoption, and operational readiness across Engineering, Product, Architecture, Infrastructure, Security, Finance, and business teams. Uses AI capabilities to improve portfolio insights, forecasting, governance reporting, and executive decision support.

Leads planning and delivery of complex technology initiatives, managing schedules, budgets, resources, risks, dependencies, governance, and stakeholder alignment. Supports Agile and Waterfall practices, release planning, implementation readiness, executive reporting, delivery metrics, and benefit realization. Uses approved AI capabilities to enhance planning, forecasting, RAID management, reporting, and decision support.

Lead UI design across HERE’s global website ecosystem, delivering responsive, accessible, scalable visual and interaction experiences. Own design execution from discovery through handoff, establish reusable components and standards within the HERE Design System, support experimentation and A/B testing, and use user insights and performance data to refine solutions. Collaborate with UX, content, product, development, marketing, and agencies while mentoring designers and driving design quality without direct management responsibility.

Leads process systems engineering for global content operations, designing and scaling tools, workflows, and technical solutions. Responsibilities include mentoring engineers, improving database integrity, automating processes, performing root-cause analysis, supporting software development, leading pilots and launches, conducting spatial analytics, and managing cross-functional technical programs. The role requires expertise in geospatial technologies, software engineering, data analysis, cloud platforms, AI/ML, Agile delivery, and operational readiness.

Leads advanced data science and machine learning initiatives for global-scale digital map-making. Defines technical direction, develops predictive and statistical models, applies AI technologies, and drives deployment across scalable big data environments. Provides technical leadership for complex projects, collaborates with engineering and architecture teams, explains predictive solutions to executives, and mentors data scientists and engineers.

Create accessible, brand-consistent web graphics and digital visual assets for campaigns, launches, content updates, websites, and email. Translate complex technology concepts into compelling visual stories while collaborating with UX, UI, Content, Marketing, Product, Development, agencies, and subject matter experts. Manage design requests, optimize and publish assets through content systems, maintain reusable design libraries, participate in sprint workflows, and present design rationale to stakeholders.

Lead the architecture, development, deployment, and monitoring of production-grade machine learning systems for high-definition, ADAS, ISA, and IVI maps. Lead work across computer vision, NLP, deep learning, Generative AI, Agentic AI, MLOps, data ingestion, model training, inference, and scalable cloud or in-vehicle deployment. Provide technical leadership, conduct architecture and code reviews, integrate ML outputs with mapping workflows, and translate business requirements into reliable ML system designs.