Software Development Engineer II/III - Distributed Systems (4-10 yrs)

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