{"id":2846603,"url":"https://alion.io/job/zeliot-solution-architect-automotive-cloud","title":"Solution Architect, Automotive Cloud","company":{"id":4442702,"name":"Zeliot","domain":"zeliot.in","url":"https://alion.io/company/zeliot","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Node JS","optional":false},{"name":"Rest API","optional":false},{"name":"Digital Twin","optional":true},{"name":"JavaScript","optional":true},{"name":"MQTT","optional":true}],"status":"live","first_seen_at":"2026-10-19T08:00:46Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-22T20:53:01Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"About Zeliot\nAt 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.\nTo 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.\nWith 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.\nDriven 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.\nAt Zeliot, streaming becomes effortless, development becomes frictionless, and innovation becomes continuous, transforming how enterprises turn data into decisions and vision into value.\nLocation: Onsite - Gurugram, India\nRole Summary:\nZeliot is looking for an experienced Solution Architect to lead the architecture and technical execution of an Automotive Cloud initiative at a leading automotive OEM.\nThe 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).\nKey Responsibilities:\nLead architecture and solution design for automotive cloud applications, connected vehicle platforms, and associated integrations.\nGather and evaluate functional and non-functional requirements, define technology stacks, and create high-level and low-level architecture designs.\nDesign scalable, secure, and reliable cloud-native systems for real-time vehicle data ingestion, processing, and distribution.\nGuide engineering teams through technical design, code reviews, performance optimization, and troubleshooting.\nCollaborate with OEM stakeholders, technology partners, and Zeliot engineering teams to drive technical execution and resolve integration challenges.\nEvaluate emerging automotive technologies and align platform architecture with the OEM's long-term SDV and connected vehicle roadmap.\nEnsure adherence to engineering best practices covering scalability, security, availability, observability, and software quality.\nQualifications/Skills:\n10+ years of software engineering experience, with proven experience in software or solution architecture.\nStrong proficiency in Java and/or Node.js, microservices, REST APIs, and distributed application design.\nHands-on experience with Apache Kafka, Docker, Kubernetes, and event-driven architectures.\nExperience with GCP Cloud.\nGood understanding of databases, real-time data processing, CI/CD, and cloud infrastructure.\nExperience in automotive, connected vehicles, IoT, or telematics, including vehicle-to-cloud communication and telemetry processing.\nUnderstanding of Software-Defined Vehicles (SDV), emerging automotive software architectures, and their implications for automotive cloud platforms.\nStrong problem-solving, technical leadership, communication, and stakeholder management skills.\nGood to have skills:\nExperience working directly with automotive OEMs or Tier-1 suppliers.\nKnowledge of automotive protocols and technologies such as CAN, DTC, MQTT, and OTA/FOTA.\nAwareness of emerging SDV technologies, including AUTOSAR Adaptive, zonal architectures, SOAFEE, and vehicle data standards.\nExposure to AI-driven automotive applications, predictive diagnostics, digital twins, and edge-to-cloud architectures.\nWhat We Offer\nCompetitive compensation and comprehensive benefits.\nOpportunity to work on a cutting-edge real-time data platform.\nHigh ownership, autonomy, and impact.\nCollaborative, fast-paced, deep-tech environment.\nStrong focus on learning, growth, and long-term career development.\nWant to build the future of real-time systems?\nJoin Zeliot and help shape how enterprises turn streaming data into real-world 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