Description

• Develop and maintain the KaaS platform ensuring high availability, performance, and scalability.
• Develop robust and efficient code using Go or Python.
• Leverage Docker and Kubernetes for deployment and scalability.
• Use ArgoCD for deployment and Helm for manifest specification.
• Utilize Terraform for infrastructure as code and optimization.
• Implement DevOps practices to enhance operational efficiency and reliability.
• Work with AWS services such as S3, DynamoDB, and IAM.
• Promote best practices and knowledge sharing within the team.

Qualifications:
Core Experience

• Proven, hands-on experience building, operating, and scaling enterprise integration platforms.
• Deep production-level expertise in Kafka and Confluent Cloud including cluster management, performance tuning, and data streaming architecture.
• Infrastructure & Cloud
• Strong proficiency in containerization and orchestration (Kubernetes, Docker).
• Strong experience with cloud infrastructure (AWS).
• Familiarity with Infrastructure as Code (Terraform).
• Professional Background
• Experience working within continuous product or platform engineering teams with focus on long-term platform reliability.

Engineering Skills

• Strong software engineering fundamentals with coding abilities in Go or Python.
• Ability to build robust platform tooling and automation.

Soft Skills

• Clear and concise communication.
• Ability to work independently, mentor others, and drive platform adoption.

Key Qualifications

• Proficiency in Go or Python programming.
• Experience with Docker and Kubernetes.
• Strong Terraform expertise.
• Strong understanding of DevOps practices and pipeline development.
• Familiarity with Kafka concepts including topics, partitions, schemas, and architecture.
• Understanding of AWS services including Lambda, S3, DynamoDB, and IAM.
• Experience working in Agile development teams

Key Skills

Education

Bachelor's degree