At Licious, we are building a scalable and reliable data platform that powers critical business decisions, operational intelligence, and next-generation data products. /n /n As an SDE II – Data Platform , you will play a key role in designing, building, and optimizing large-scale distributed data systems that process and serve data across the organization. This role is ideal for someone who is passionate about distributed systems, streaming architectures, and platform engineering. /n /n What You'll Be Doing /n /n /n

- Build Scalable Data Platforms : Design, develop, and maintain large-scale data pipelines and distributed systems that support real-time and batch data processing across the organization.

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- Streaming & Data Processing: Build and optimize data processing solutions using contemporary streaming and distributed computing frameworks to ensure high throughput, reliability, and scalability.

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- Platform Engineering : Contribute to the development and evolution of the data platform, improving system reliability, operational efficiency, observability, and developer experience.

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- System Design & Architecture : Participate in the design and implementation of scalable data architectures and distributed systems while making informed engineering trade-offs around performance, reliability, and cost.

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- Infrastructure & Cloud Automation : Leverage modern infrastructure and orchestration tools to build, deploy, and operate highly available data services and platform components.

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- Performance & Optimization : Identify bottlenecks and continuously improve data processing efficiency, system performance, platform costs, and resource utilization.

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- Cross-Functional Collaboration : Partner closely with software engineers, platform engineers, product teams, and business stakeholders to understand data requirements and deliver scalable solutions

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- Operational Excellence : Participate in monitoring, troubleshooting, root cause analysis, and production support activities to ensure platform stability and reliability.





/n /n /n What You'll Bring to the Team /n /n Experience: /n 3–5 years of experience in Software Engineering, Data Engineering, Platform Engineering, or related backend engineering roles, with hands-on experience building distributed systems and data infrastructure. /n Distributed Systems & Data Engineering: /n Strong experience with: /n /n

- Apache Spark

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- Apache Flink

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- Apache Kafka

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- Streaming data architectures

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- Batch processing systems

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- Distributed computing concepts

/n /n Programming Skills: /n /n

- Strong proficiency in Python (must-have)

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- Experience with modern programming languages such as Golang or Rust is a plus

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- Strong understanding of data structures, algorithms, and software engineering fundamentals

/n /n Infrastructure & Platform Engineering: /n Hands-on experience with: /n /n

- Kubernetes

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- Terraform

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- Docker

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- CI/CD pipelines and automation tools such as Jenkins

/n /n Experience deploying, operating, and troubleshooting applications in cloud-native environments. /n Databases & Data Modeling: /n /n

- Strong SQL skills

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- Experience working with large-scale datasets

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- Understanding of data modeling and data pipeline design principles

/n /n System Design & Problem Solving: /n /n

- Strong understanding of low-level system design concepts

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- Ability to reason about distributed systems, scalability challenges, and architectural trade-offs

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- Strong debugging, troubleshooting, and root cause analysis skills

/n /n Impact-Oriented Mindset: /n Demonstrated ability to deliver measurable business outcomes through engineering initiatives, such as: /n /n

- Platform cost optimization

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- Reliability improvements

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- Performance enhancements

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- Reduced processing latency

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- Increased operational efficiency

/n /n Collaboration & Ownership: /n /n

- Strong ownership mindset and accountability

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- Ability to work independently on complex engineering problems

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- Excellent communication and stakeholder management skills

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- Passion for learning new technologies and solving challenging technical problems

/n /n /n Good to Have /n /n /n

- Experience with AI-enabled platforms, RAG systems, LLM-based applications, or modern AI infrastructure

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- Exposure to data platform architecture and platform engineering practices

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- Experience building developer platforms or internal tooling

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- Knowledge of observability, monitoring, and distributed tracing systems

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- Experience mentoring junior engineers or leading small technical initiatives

/n /n /n Qualification and Experience /n /n

- 3–5 years of experience in Software Engineering, Data Engineering, Backend Engineering, or Platform Engineering.

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- Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.

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- Proven experience building and operating distributed systems in a product or technology-driven environment.

/n /n /n /n Why Join Licious? /n /n /n

- High Impact : Build and scale data systems that power critical business operations and decision-making across the organization.

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- Engineering Challenges: Work on large-scale distributed systems, real-time streaming platforms, and cloud-native infrastructure challenges.

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- Ownership: Take end-to-end ownership of impactful engineering initiatives and contribute to the evolution of the company's data platform.

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- Future-Focused Technology: Be part of a team investing in modern data engineering, platform capabilities, and AI-driven technologies.

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- Culture of Excellence: Work alongside high-performing engineers in a collaborative environment that values innovation, learning, and technical excellence.

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📌 SDE 2 - Data Engineering (Bengaluru)
🏢 Licious
📍 Bengaluru