Senior Software Engineer

7 - 12 years

45 - 50 Lacs

Posted:1 month ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Grade H - Office/ Core Responsible for supporting software / platform engineering activities (depending on specialism), working with users to capture requirements, using sound technical capabilities to lead the design, development and maintenance of the relevant systems and ensuring compliance with the relevant standards. Specialisms: Software Engineering; Platform Engineering.
 

About the Role

We are seeking an accomplished, high-calibre Senior Software Engineer with deep expertise as Fullstack developer, launching global mobile apps and a passion for creating seamless, scalable, and maintainable mobile experiences. In this role, you be part of global technical team for iOS and Android development, drive improvements to our tech stack, and evolve our mobile architecture to unify and simplify our global codebase. You will play a pivotal role in designing and implementing solutions that drive forward our mobile development standards and optimise cross-functional collaboration.
 
Extensive iOS and Android Development Experience:
  • 7+ years of hands-on iOS and Android development, with 3+ years in a tech lead role.
  • Strong Proficiency in Swift and Objective-C, with deep knowledge of modern iOS and Android frameworks. Proficiency in Kotlin and Java, with an in-depth understanding of modern Android frameworks and tools.
Server-Driven UI Expertise:
  • Experience designing and implementing server-driven UI architectures.
  • Familiarity with concepts like proto buffers, JSON-based configuration, schema-driven layouts, and server-defined workflows.
Mobile Architecture:
  • Proven track record to design scalable, maintainable architectures (VIPER, MVVM, Clean Architecture).
  • Strong understanding of dependency injection, modularisation, and how these practices give a simplified and unified codebase.
Testing & Quality:
  • Experience in TDD/BDD, XCTest, and continuous integration (CI) setups.
  • Demonstrated ability to create robust unit, integration and UI tests to maintain code quality.
Tech Stack Optimisation:
  • Strong ability to assess, evolve, and implement tools, frameworks, and patterns that enhance efficiency, scalability, and maintainability.
Backend Development:
  • 7+ years in backend development, with 3+ years of sophisticated proficiency in Golang and gRPC for robust, high-performance service communication.
  • Strong understanding of RESTful and gRPC APIs, microservices architecture, and event-driven design patterns.
AWS Cloud Architecture:
  • Proven experience designing and scaling backend services on AWS, including EC2, Lambda, S3, RDS, and CloudFront.
  • Proficiency in infrastructure-as-code tools like AWS CDK or CloudFormation to automate cloud infrastructure.
Distributed Systems:
  • Experience with distributed systems patterns and challenges, especially within high-availability, multi-region and low-latency applications.
Shared Codebase Management.
  • Proven experience unifying backend codebases and eliminating redundant, region-specific code to enable flawless code reuse across a global application.
  • Familiarity with modular architecture principles, helping to streamline component and service integration across multiple environments.
Component Library & Server-Driven UI.
  • Understanding of server-driven UI design patterns, with experience in defining and implementing shared page and component libraries that support scalable, reusable UI elements for mobile applications.
Security Best Practices:
  • Expertise in backend security protocols and practices, including data encryption, secure authentication, and access control measures.
Code Quality & Testing:
  • Proficient in writing clean, maintainable code with strong test coverage, including unit, integration, and performance testing.
  • Experience with Azure DevOps CI/CD pipeline tools for detailed integration of testing and deployment.
Monitoring and Optimisation:
  • Familiarity with performance monitoring tools (e.g., Prometheus, Grafana, AWS CloudWatch) to ensure system reliability and scalability under varying loads.

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