Staff Software Engineer

1 - 8 years

0 Lacs

Posted:1 day ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

As the Technical Architect/Lead Engineer, you will have the end-to-end ownership of multiple components design and architecture. Your responsibilities will include: - Designing, building, unit testing, and deploying critical product areas and features, while also improving existing features. - Conducting code reviews with the team to ensure the highest quality of the codebase. - Establishing and owning relevant healthy DevOps processes and practices within the team. - Collaborating and sharing knowledge within the team to promote technical and self-sufficient teams. - Documenting and demonstrating solutions through the development of documentation, flowcharts, layouts, diagrams, charts, code comments, and clear code. - Solving deep technical challenges at scale with innovation. - Working closely with senior leadership to align technical direction with business goals. Qualifications required for this role include: - 8+ years of experience in successfully building scalable backend systems. - 1+ year of experience working as a technical architect/lead engineer. - Expertise in architecting large-scale, high-performance, and fault-tolerant systems (preferably in Java/Golang). - Mastery of cloud-native development, container orchestration, and infrastructure as code. - Experience working with large-scale SQL and NoSQL databases (MongoDB, etc.). - Proficiency in system performance, scalability, and observability practices. - Experience with REST APIs and GraphQL API design and development. - Familiarity with healthy DevOps processes and practices (Docker, Kubernetes, CI/CD, etc.). - Ability to define and drive long-term technical vision despite evolving business needs. - Ability to lead and influence the team with tech transformation and architecture evolution. Nice to have skills for this role include: - Advanced knowledge of concurrency, distributed algorithms, and multi-threading. - Extensive experience with large-scale data processing and analytics pipelines.,

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