Principal Software Engineer – Data Systems & Algorithms

Location: Bengaluru, India

Department: Software Engineering

Experience: 12–18 Years

• Design and build highly scalable, low-latency backend systems capable of handling massive datasets.
• Architect storage and retrieval layers for structured, semi-structured, and unstructured data.
• Solve complex engineering problems involving advanced algorithms, indexing, search, caching, and distributed data systems.
• Drive technical strategy and architectural decisions for core platform components.
• Optimize system performance through efficient data structures, concurrency, memory management, and distributed computing techniques.
• Collaborate with AI/ML, Platform, and Product teams to build data-intensive applications.
• Mentor senior engineers and establish engineering best practices for scalability, reliability, and maintainability.
• Lead design reviews, technical discussions, and architectural governance across multiple teams.
• Continuously evaluate emerging technologies to improve platform performance and engineering productivity.
• Architect distributed data platforms that deliver predictable performance at billion-record scale and support mission-critical workloads.
• Design partitioning, sharding, replication, and data lifecycle strategies to ensure scalability, resiliency, and cost efficiency.
• Drive architecture for multi-region, highly available systems with strong disaster recovery and fault tolerance.
• Lead performance engineering initiatives across storage, compute, memory, and networking layers to optimize latency and throughput.
• Establish architectural standards for benchmarking, observability, capacity planning, and performance optimization.
• Evaluate and recommend database technologies, storage engines, and distributed computing frameworks based on evolving business needs.
• Drive architectural reviews for complex data-intensive systems and provide technical leadership on critical engineering decisions.

• 12–18+ years of experience architecting and building large-scale backend, distributed systems, or data platforms.
• Strong computer science fundamentals with deep knowledge of algorithms, data structures, complexity analysis, and system design.
• Expertise in designing systems for storing, indexing, querying, retrieving, and processing large-scale structured, semi-structured, and unstructured data.
• Deep understanding of database internals, including storage engines, query optimization, indexing strategies, transaction processing, concurrency control, and performance tuning.
• Strong understanding of distributed systems, including partitioning, sharding, replication, consistency models, fault tolerance, distributed caching, and messaging systems.
• Experience designing highly scalable storage and retrieval systems with predictable latency and high availability.
• Experience with SQL and NoSQL databases such as PostgreSQL, MySQL, Cassandra, DynamoDB, MongoDB, ClickHouse, or similar technologies.
• Hands-on experience designing high-performance backend services using Java, C++, Go, Rust, or similar systems programming languages.
• Experience optimizing large-scale systems through efficient data structures, memory management, concurrency, and distributed computing techniques.
• Experience building cloud-native, highly available, fault-tolerant applications on AWS, Azure, or GCP.
• Experience designing and optimizing high-throughput data pipelines, event-driven architectures, or streaming systems.
• Strong understanding of observability, benchmarking, capacity planning, and production performance analysis.
• Demonstrated ability to drive architecture decisions, influence technical strategy, and lead complex engineering initiatives across multiple teams.
• Excellent problem-solving skills with a passion for solving complex engineering challenges.
• Bachelor's or Master's degree in Computer Science or a related field from a reputed institution.

• Opportunity to lead large, high-impact projects for global Fortune 500 clients.
• Work in a high-growth startup environment with a flat, collegial culture.
• Best-in-class remuneration and benefits.
• A platform for personal and professional growth with ownership and autonomy.

• Ranked as one of America's Fastest-Growing Companies by Financial Times for five consecutive years: 2020-2024.
• Ranked as one of America's Fastest-Growing Private Companies by Inc. 5000 for seven consecutive years: 2018-2024.
• Voted #1 by more than 300 retailers worldwide in the RIS Software LeaderBoard 2024 report.
• Ranked #72 in America’s Most Innovative Companies list in 2023—by Fortune—alongside companies like Microsoft, Tesla, Apple, IBM, etc.
• Forged a strategic partnership with Google to equip retailers with cutting-edge generative AI tools.
• Recognized in multiple Gartner reports, including Market Guides and Hype Cycle, spanning assortments, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications.