Datayaan Solutions Private Limited
Job Description
Cloud / DevOps Engineer
Cloud-Native Applications | Containers | CI/CD | Platform Reliability
Position Cloud/DevOps Engineer
Location Chennai, India
Experience 5 – 10 Years
Working Model Agile (Scrum)
Role Summary
We are seeking an experienced Cloud/DevOps Engineer to build and operate cloud-native infrastructure for our enterprise platform. The role involves developing containerized workloads, maintaining CI/CD pipelines, and supporting platform scalability, reliability, and operational excellence within an Agile delivery model.
Key Responsibilities
- Develop and deploy cloud-native applications on modern cloud platforms.
- Build and maintain containerized workloads using Docker and Kubernetes.
- Contribute to CI/CD pipelines, deployment automation, and release processes.
- Support platform scalability, reliability, resilience, and operational excellence.
- Implement Infrastructure as Code (e.g., Terraform, CloudFormation, ARM templates) for provisioning and configuration management.
- Set up and maintain monitoring, logging, and alerting to enable proactive issue detection and resolution.
- Collaborate with development teams to streamline build, test, and deployment workflows.
- Manage cloud cost optimization, security posture, and compliance best practices.
- Participate in incident response, root-cause analysis, and disaster recovery planning.
- Work within Agile/Scrum teams, contributing to sprint planning and continuous process improvement.
Required Skills & Experience
- 5–10 years of hands-on experience in Cloud/DevOps engineering.
- Strong expertise in at least one major cloud platform (AWS, Azure, or GCP).
- Hands-on experience with Docker and Kubernetes in production environments.
- Proven experience building and maintaining CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions, Azure DevOps).
- Experience with Infrastructure as Code tools such as Terraform, CloudFormation, or Ansible.
- Solid scripting skills in Bash, Python, or a similar language.
- Experience with monitoring and observability tools (Prometheus, Grafana, ELK, CloudWatch, or Datadog).
- Good understanding of cloud networking, security, and IAM best practices.
- Comfortable working within an Agile/Scrum delivery model.
Good to Have
- Experience deploying and operating AI/ML workloads or LLM inference infrastructure.
- Exposure to Kafka or messaging infrastructure operations.
- Relevant cloud certifications (AWS/Azure/GCP Associate or Professional level).
- Experience supporting B2B or enterprise integration platforms.
Educational Qualification
Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent practical experience).
Work Location: In person
