Job Description

At Licious, we are building a scalable and reliable data platform that powers critical business decisions, operational intelligence, and next-generation data products.

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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.

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What You'll Be Doing

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- 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 modern 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 contemporary 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.
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What You'll Bring to the Team

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Experience:

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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.

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Distributed Systems & Data Engineering:

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Strong experience with:

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- 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
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Programming Skills:

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- 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
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Infrastructure & Platform Engineering:

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Hands-on experience with:

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- Kubernetes
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- Terraform
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- Docker
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- CI/CD pipelines and automation tools such as Jenkins
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Experience deploying, operating, and troubleshooting applications in cloud-native environments.

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Databases & Data Modeling:

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- 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
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System Design & Problem Solving:

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- 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
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Impact-Oriented Mindset:

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Demonstrated ability to deliver measurable business outcomes through engineering initiatives, such as:

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- 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
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Collaboration & Ownership:

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- 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
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Good to Have

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- 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
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Qualification and Experience

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- 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.
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Why Join Licious?

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- 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