Role Overview
You will be responsible for designing and developing scalable backend systems and robust applications using Python or Golang. You will work on server-side architecture, performance optimization, and cloud-native technologies while contributing to product development and engineering best practices.
Key Responsibilities
System Engineering
- Develop and implement scalable backend systems using Python or Golang.
- Design robust server-side solutions focused on reliability, scalability, and performance.
Performance Optimization
- Identify and resolve performance bottlenecks.
- Conduct experiments and implement solutions to improve system performance and efficiency.
Open-Source Contributions
- Research, evaluate, and integrate relevant open-source projects based on product requirements.
- Contribute to open-source communities where relevant.
Code Quality & Documentation
- Write clean, efficient, maintainable, and well-documented code.
- Establish and promote coding standards and engineering best practices.
Software Development Lifecycle
- Participate in product definition, system design, development, testing, deployment, and maintenance.
- Collaborate with cross-functional teams throughout the development lifecycle.
Architecture & Design
- Participate in architectural discussions and design scalable systems.
- Apply strong engineering and domain expertise to solve complex technical challenges.
Mentorship
- Guide and mentor junior and mid-level engineers.
- Foster a culture of ownership, collaboration, accountability, and continuous improvement.
Requirements
Technical Skills
- Strong proficiency in Python, with experience building scalable applications and frameworks.
- Good understanding of software architecture and backend system design.
Framework Development
- Hands-on experience designing and developing reusable framework components.
- Experience with building scalable and maintainable backend architectures.
Engineering Practices
- Strong understanding of code refactoring, design patterns, testing methodologies, and TDD.
- Experience with CI/CD pipelines and software security best practices.
- Strong understanding of software development lifecycle and engineering practices.
Cloud & Kubernetes
- Good understanding of Kubernetes architecture and cloud-native application development.
- Practical exposure to cloud platforms and containerized environments.
Performance Benchmarking
- Experience with performance optimization and benchmarking of applications or cloud environments is an advantage.
Open Source
- Contributions to CNCF or other open-source communities will be an added advantage.
Soft Skills
Problem-Solving
- Strong analytical and problem-solving abilities with attention to detail.
Team Collaboration
- Ability to work independently as well as effectively collaborate within a team.
Communication
- Strong ability to communicate and explain technical concepts clearly to technical and non-technical stakeholders.
Continuous Learning
- Proactive approach toward learning new technologies, engineering practices, and industry trends.
