- Workplace
- Remote, Onsite
- Department
- IT
- Source
- Keka
Description
About Zeliot
At Zeliot, we are redefining the future of real-time data streaming, empowering enterprises and developers to unlock the full potential of their data with speed, simplicity, and scale. We envision a world where data moves seamlessly, insights are delivered instantly, and innovation happens at the speed of thought.
To bring this vision to life, we created Condense, a next-generation all-in-one data streaming platform that radically simplifies how real-time applications are built, deployed, and scaled. Condense eliminates the complexities traditionally associated with infrastructure management through fully managed Kafka, intelligent autoscaling, and a Bring Your Own Cloud (BYOC) deployment model, freeing developers from operational overhead and enabling them to focus entirely on creating new real-time experiences.
With an AI-driven development framework and a Custom Transformation Framework, Condense allows developers to write, test, and deploy stream processing logic in their preferred programming languages, accelerating innovation and shortening development cycles. This approach enables enterprises to bring new applications to market faster and operate at true cloud-native speed, supported by optimized infrastructure utilization and up to 40–60% reduction in total cost of ownership (TCO), all while maintaining data sovereignty, performance, and scalability across cloud environments.
Driven by deep domain expertise across connected mobility, IoT, and large-scale data ecosystems, Zeliot extends beyond platform innovation to deliver the complete ecosystem enterprises need to realize their real-time data ambitions. By combining advanced streaming technology with contextual intelligence and industry focus, Zeliot enables organizations to build, scale, and manage real-time applications with exceptional efficiency and measurable business impact.
At Zeliot, streaming becomes effortless, development becomes frictionless, and innovation becomes continuous, transforming how enterprises turn data into decisions and vision into value.
Location: Onsite - Gurugram, India
Role Summary:
Zeliot is looking for an experienced Solution Architect to lead the architecture and technical execution of an Automotive Cloud initiative at a leading automotive OEM.
The candidate should have strong expertise in cloud-native software architecture, distributed systems, and real-time data processing, along with experience in automotive, connected vehicles, or telematics. The role involves working closely with OEM stakeholders and Zeliot's engineering teams to deliver scalable solutions while aligning with emerging automotive technologies such as Software-Defined Vehicles (SDV).
Key Responsibilities:
- Lead architecture and solution design for automotive cloud applications, connected vehicle platforms, and associated integrations.
- Gather and evaluate functional and non-functional requirements, define technology stacks, and create high-level and low-level architecture designs.
- Design scalable, secure, and reliable cloud-native systems for real-time vehicle data ingestion, processing, and distribution.
- Guide engineering teams through technical design, code reviews, performance optimization, and troubleshooting.
- Collaborate with OEM stakeholders, technology partners, and Zeliot engineering teams to drive technical execution and resolve integration challenges.
- Evaluate emerging automotive technologies and align platform architecture with the OEM's long-term SDV and connected vehicle roadmap.
- Ensure adherence to engineering best practices covering scalability, security, availability, observability, and software quality.
Qualifications/Skills:
- 10+ years of software engineering experience, with proven experience in software or solution architecture.
- Strong proficiency in Java and/or Node.js, microservices, REST APIs, and distributed application design.
- Hands-on experience with Apache Kafka, Docker, Kubernetes, and event-driven architectures.
- Experience with GCP Cloud.
- Good understanding of databases, real-time data processing, CI/CD, and cloud infrastructure.
- Experience in automotive, connected vehicles, IoT, or telematics, including vehicle-to-cloud communication and telemetry processing.
- Understanding of Software-Defined Vehicles (SDV), emerging automotive software architectures, and their implications for automotive cloud platforms.
- Strong problem-solving, technical leadership, communication, and stakeholder management skills.
Good to have skills:
- Experience working directly with automotive OEMs or Tier-1 suppliers.
- Knowledge of automotive protocols and technologies such as CAN, DTC, MQTT, and OTA/FOTA.
- Awareness of emerging SDV technologies, including AUTOSAR Adaptive, zonal architectures, SOAFEE, and vehicle data standards.
- Exposure to AI-driven automotive applications, predictive diagnostics, digital twins, and edge-to-cloud architectures.
What We Offer
- Competitive compensation and comprehensive benefits.
- Opportunity to work on a cutting-edge real-time data platform.
- High ownership, autonomy, and impact.
- Collaborative, fast-paced, deep-tech environment.
- Strong focus on learning, growth, and long-term career development.
Want to build the future of real-time systems?
Join Zeliot and help shape how enterprises turn streaming data into real-world impact.
Skills
JavaNode.jsGCPDockerKubernetesCI/CDRESTMicroservices