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: Bangalore, India
Employment Type: Full-time
Role Summary:
We are looking for a Customer Engineer (Pre-Sales) who combines strong technical understanding with excellent communication skills. In this role, you will partner with sales, product, and engineering teams to engage with customers, design technical solutions, and deliver Proofs Of Concept (PoCs) that demonstrate the value of Condense. This position requires strong aptitude, curiosity to learn new technologies, and openness to travel to customer sites for workshops, discovery sessions, and PoC deployments.
Key Responsibilities:
- Partner with the sales team during customer engagements to translate business requirements in technical solutions using Condense.
- Conduct technical discovery, solution workshops, and hands-on demonstrations with prospects.
- Design end-to-end architectures for real-time data streaming use cases — from ingestion and transformation to integration with backend and analytics systems.
- Lead proof-of-concepts (PoCs) that validate Condense’s technical fit, performance, and value.
- Prepare and deliver technical presentations, demos, and solution proposals tailored to customer needs.
- Collaborate with product and engineering teams by sharing customer insights, feature requests, and improvement ideas.
- Contribute to reusable demo assets, reference architectures, and best practice guides.
- Ensure smooth handoff of validated opportunities to customer success and post-sales teams.
- Travel as needed (within India and occasionally abroad) to meet customers, run workshops, and support PoCs.
Qualifications/Skills:
- Strong understanding of real-time data streaming architectures, especially Apache Kafka.
- Good working knowledge of Kubernetes and cloud-native concepts (containers, networking, scaling).
- Familiarity with at least one public cloud (AWS, Azure, GCP) and its streaming/data services.
- Exposure to backend stacks (Java, Python, Go, or Node.js) to understand integration patterns.
- Strong communication and presentation skills; ability to engage both technical and business stakeholders.
- Hands-on aptitude: comfortable building simple PoCs, demos, or architecture prototypes.
- Curiosity, quick learning ability, and eagerness to travel and interact directly with customers.
- A problem-solver with the ability to quickly grasp new technologies.
- Someone who thrives in customer-facing environments and can confidently represent Condense in discussions.
- A team player who collaborates across sales, engineering, and product functions.
Good to have skills:
- Knowledge of stream processing frameworks (Kafka Streams, Flink, Spark Streaming, Beam).
- Understanding of schema management, data serialization formats (Avro, Protobuf, JSON Schema).
- Familiarity with observability tools (Prometheus, Grafana, Open Telemetry).
- Experience with IoT, mobility, energy, or logistics domains.
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.