Design, develop, and maintain advanced CI/CD pipelines and automation tools to streamline development and deployment processes
Create and improve tools for continuous integration, automated testing, and release management , predominantly using Python
Build and maintain robust infrastructure using Kubernetes, BareMetal, AWS, GKE, and Azure
Improve the Software Development Lifecycle with a robust code review process and gatekeeping process/tools
Proficiency in using AI-powered tools (e.g., Cursor, GitHub Copilot, etc.) to enhance productivity, problem-solving, and workflow efficiency.

Experience with automating CI/CD processes
Experience programming in one or more general-purpose programming languages, preferably Python, Java, Go, Shell, JavaScript, Typescript, or React and Vite
Experience with Kubernetes, AWS, GCP, and Azure environments and strong system fundamentals
Experience with infrastructure languages like Terraform, Ansible, or Helm and Java-based build tools like Maven, Gradle, or Ant
AI Coding Assistant Proficiency: Experience using and configuring AI-powered development tools like GitHub Copilot, Cursor, or Claude code to accelerate code authoring and refactoring
Engineering Lifecycle Knowledge: Deep understanding of the entire Software Development Life Cycle (SDLC), with a focus on where friction commonly occurs during coding, testing, and deployment
Automation & Scripting: Strong proficiency in scripting languages (e.g., Python, Bash, or Go) to automate repetitive manual tasks and setup procedures
Product Thinking for Internal Tools: Ability to treat internal platforms and tools as products, ensuring they are usable, well-documented, and solve real developer pain points
Collaboration & Advocacy: Excellent communication skills to act as a bridge between engineering teams and stakeholders, advocating for developer needs.

Senior Software Engineer – Developer Productivity

Key skills