Max Budget for the role 35LPA

Role & Responsibilities

• Responsible for ensuring that the architecture and design of the platform remains top-notch with respect to scalability, availability, reliability and maintainability
• Act as a key technical contributor as well as a hands-on contributing member of the team.
• Own end-to-end availability and performance of features, driving rapid product innovation while ensuring a reliable service.
• Working closely with the various stakeholders like Program Managers, Product Managers, Reliability and Continuity Engineering(RCE) team, QE team to estimate and execute features/tasks independently.
• Maintain and drive tech backlog execution for non-functional requirements of the platform required to keep the platform resilient
• Assist in release planning and prioritization based on technical feasibility and engineering constraints
• A zeal to continually find new ways to improve architecture, design and ensure timely delivery and high quality

Ideal Candidate

• Thorough understanding of highly distributed, low latency and high throughput systems
• 4+ years of hands-on experience in Java and Springboot working on consumer facing internet products
• Knowledge of globally distributed disaster-recovery enabled architectures
• Solid understanding of cloud engineering (GCP preferably)
• Expert knowledge of micro services stack and principles (12-factor app) and related network architectures
• Experience of the best practices or REST(SpringBoot, jHipster, Dropwizard) and non-REST (gRPC) communication
• Experience of working with data streaming tech - Apache Spark, Flink
• Good to have experience on building Data Products and ML Platform
• Exceptional code reviewer and solid programmer (Java/Python)
• Exposure to multiple kinds of data storage and retrieval strategies - Relational, Non relational, Document, Graph, Object, Timeseries databases
• Solid grip on CAP theorem, transactional consistency, distributed transactions, eventual consistency
• Knowledge of essential distributed design patterns for backpressure, bulkhead, circuit breaker, event sourcing, CQRS, event driven architecture
• Good knowledge of mid tier caching strategies
• Understanding of Containerization, Orchestration and Service mesh frameworks (Kubernetes, Mesos, Ist.io, etc)
• Good understanding of the best practices of API design
• Champion of Engineering excellence - code reviews, unit tests, documentation of system design and architecture, etc
• Computer Science or equivalent engineering graduate from a reputed college