SDE III - Glance

We are looking for a Senior Backend Software Development Engineer (SDE 3) with deep technical expertise in building and operating production systems at scale. You'll own entire components/services within microservices and data pipelines that handle ~200K queries per second and process petabytes of data daily. This role demands hands-on coding excellence, strong Low-Level Design (LLD) skills, and complete ownership from component architecture through infrastructure management to cost optimization. You'll architect solutions, lead technical decisions, and drive operational excellence while shipping code daily.
Responsibilities:
Component Ownership: Own one or more critical components/services end-to-end and be 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; you'll be deep in the codebase.
Infrastructure Ownership: Own and operate the infrastructure your components run on, including capacity planning, scaling, and reliability improvements.
Cost Management: Drive cost optimization for owned components, analyze spending, identify waste, and implement efficient architectures.
Scale and 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, and 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 engineering teams to define requirements and deliver solutions
Agile Execution: Break down complex projects, deliver incrementally in daily cadence, iterate based on feedback
Requirements:
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 with demonstrable end-to-end ownership.
Low-Level Design (LLD): Proven ability to create detailed technical designs, data structures, algorithms, API contracts, concurrency models, and failure handling.
Programming Mastery: Expert-level proficiency in at least one modern language (Go, Python, Java, etc. ) with a track record of writing maintainable, performant production code.
Databases: Deep hands-on experience with SQL and NoSQL database schema design, query optimization, indexing strategies, and 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, and debugging live issues under pressure.
Infrastructure Knowledge: Hands-on experience managing infrastructure, understanding resource utilization, and 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.

Experience
5-9 yrs