We are looking for a proactive and skilled Software Infrastructure Developer to join our team, focusing on building robust and scalable infrastructure to support seamless automation and reliability across systems. This role is essential in ensuring efficient integration within our CI/CD pipelines, creating tools and frameworks for end-to-end automation, and working with engineering teams to continuously enhance system stability. The ideal candidate will bring strong technical expertise in automation, CI/CD (with hands-on knowledge of Jenkins), containerization, and cloud infrastructure, along with proficiency in Python and Node.js.
Key Responsibilities:
Software Infrastructure Design: Design, build, and maintain scalable infrastructure and frameworks to ensure consistency and reliability on various systems.
Tool and Library Development: Develop libraries and tools to simplify the creation and management of end-to-end automation, enabling efficiency and ease of use.
CI/CD Integration: Integrate and optimize CI/CD pipelines to streamline deployment and operational workflows.
Feature Ownership: Take ownership of new features and products from design to production, ensuring high-quality, reliable releases.
Cross-Team Collaboration: Collaborate with cross-functional engineering teams to gather insights and requirements, driving continuous improvement of automation tools and frameworks.
Documentation and Knowledge Sharing: Document best practices and usage guidelines for libraries and tools to promote effective adoption and knowledge sharing across teams.
Technology Evaluation: Continuously research, evaluate, and implement new technologies to maximize development efficiency and innovation.
Requirements: Experience: Minimum of 3 years hands-on experience with Python / TypeScript
Programming Skills: Strong understanding of software development principles, including writing clean, maintainable, and scalable code.
CI/CD Expertise: Proven experience designing, implementing, and managing CI/CD pipelines, particularly in cloud environments (e.g., AWS, Azure).
Containerization & Orchestration: Hands-on experience with Docker and Kubernetes.
Version Control: Strong knowledge of Git and best practices for collaboration, branching, and code management.
Problem-Solving: Excellent analytical and troubleshooting skills, with the ability to resolve complex infrastructure and system issues.
Web Technologies: Familiarity with web protocols and technologies, including HTTP, JSON, HTML, and JavaScript.
Adaptability: Ability to work effectively in a fast-paced, multi-tasking environment and rapidly adopt new tools and technologies.
Big Advantage: Experience with AI/GenAI technologies using Python libraries (e.g., LangChain) and familiarity with orchestration tools such as LangGraph, n8n, or similar frameworks.
This position is open to all candidates.