SDE III - Backend

Key Responsibilities: Component Ownership: Own one or more critical components/services end-to-end responsible for architecture, development, deployment, operations, and evolution Technical Ownership: Own the entire lifecycle of your components design, implementation, testing, deployment, monitoring, incident response, and continuous improvement Low-Level Design: Create detailed technical designs (LLD) for complex systems defining data models, APIs, concurrency patterns, and failure modes Hands-on Development: Write production-grade code daily this is not a purely architectural role; youll be deep in the codebase Infrastructure Ownership: Own and operate the infrastructure your components run on capacity planning, scaling, reliability improvements Cost Management: Drive cost optimization for owned components analyze spending, identify waste, implement efficient architectures Scale & Performance: Build and optimize systems handling 200K+ QPS and petabyte-scale data processing Observability: Design and implement comprehensive monitoring, alerting, and debugging capabilities for owned components Incident Leadership: Lead incident response for your components and related services, conduct post-mortems, drive systemic improvements On-Call Excellence: Participate in on-call rotations and ensure your components are operationally sound (runbooks, alerts, dashboards) Technical Roadmap: Define and drive the technical roadmap for your owned components balancing feature development, tech debt, and operational improvements Technical Mentorship: Guide junior and mid-level engineers on system design, code quality, and production best practices Cross-functional Collaboration: Work with product, infra, and other eng teams to define requirements and deliver solutions Agile Execution: Break down complex projects, deliver incrementally in daily cadence, iterate based on feedback Required Qualifications: Experience: 4-5+ years building and operating backend systems in production environments at scale Education: B.E./B.Tech in Computer Science or equivalent practical experience Component Ownership: Proven track record of owning significant components or services from inception to maturity demonstrable end-to-end ownership Low-Level Design (LLD): Proven ability to create detailed technical designs data structures, algorithms, API contracts, concurrency models, failure handling Programming Mastery: Expert-level proficiency in at least one modern language (Go, Python, Java, etc.) with track record of writing maintainable, performant production code Databases: Deep hands-on experience with SQL and NoSQL databases schema design, query optimization, indexing strategies, operational troubleshooting Microservices at Scale: Extensive experience building, deploying, and operating microservices handling high throughput and large data volumes Data Pipelines: Strong background designing and running data processing pipelines at scale (batch and/or streaming) Observability: Expert understanding of metrics, logging, tracing, and alerting you know how to make systems debuggable Production Operations: Significant experience with incident response, on-call rotations, debugging live issues under pressure Infrastructure Knowledge: Hands-on experience managing infrastructure, understanding resource utilization, capacity planning Cost Consciousness: Experience analyzing and optimizing infrastructure costs at scale Distributed Systems: Strong fundamentals in distributed systems, concurrency, consistency models, and failure scenarios Accountability: Track record of taking full ownership from design through deployment to ongoing operations and improvements Preferred Qualifications: Experience with cloud platforms (GCP, AWS, or Azure) including cost management tools Kubernetes and container orchestration at scale Infrastructure as Code (Terraform, Pulumi, etc.) Streaming data systems (Kafka, Pub/Sub, Kinesis, Flink, etc.) SRE principles and reliability engineering practices Experience with FinOps or infrastructure cost optimization Performance profiling and optimization (CPU, memory, I/O) Technical leadership experience including mentorship of teams and driving multi-component initiatives Open source contributions or recognized technical writing