Senior Software Engineer 10+ Years (MUST)

• Design and build scalable applications, APIs, distributed systems, and cloud-native services
• Implement DevOps practices, CI/CD pipelines, and deployment automation using tools like Jenkins, GitHub Actions, etc.
• Work with cloud platforms such as AWS and/or Azure to deploy and manage applications
• Utilize Docker, Kubernetes, and Infrastructure as Code for modern platform engineering
• Develop internal platforms, frameworks, libraries, or tooling to improve developer productivity
• Manage API management, gateway technologies, and infrastructure tooling
• Collaborate with teams to work on large-scale data platforms, ETL pipelines, and data processing environments
• Contribute to AI-enabled engineering, workflow automation, and modern software delivery practices
• Provide technical leadership on complex projects and platform initiatives
• Demonstrate strong analytical and problem-solving skills to drive outcomes
• Communicate effectively and collaborate across teams to achieve project goals

As a Senior Software Engineer with over 10 years of experience, you will be a key member of our technical team, responsible for designing, developing, and maintaining scalable applications, APIs, and cloud-native services. You will play a crucial role in implementing DevOps practices, CI/CD pipelines, and deployment automation to ensure efficient software delivery. Additionally, you will collaborate with cross-functional teams to drive innovation and enhance engineering efficiency., Required Skills: API Management, Continuous Integration, Data Processing, DevOps, Computer Science, Conflict Resolution, Continuous Delivery, C#, Cloud Computing, JavaScript, Jenkins, Extract, Transform, Load, IT Management, Kubernetes, Collaboration, Communication, Docker, GitHub, Amazon Web Services, Analytical Skill, Problem Solving, Artificial Intelligence, Java, Management, Microsoft Azure, Productivity, Python, TypeScript, Workflow

Preferred Skills: Experience with large-scale data platforms, ETL pipelines, or high-volume data processing environments

Educational Requirement: Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience