Devops Platform Engineer

Job highlights

• Location: PAN India . Work Type: Hybrid . Job Type: Full Time . DevOps,Platform Engineer: . Lead Infrastructure-as-Code practices using Terraform,including modules,state management,conventions,and governance. . Design,build,and own scalable,secure platform infrastructure on AWS (EC2,IAM,EKS / ECS,S3,VPC,CloudWatch,Storage). . .

Overview:

TekWissen is a global workforce management provider throughout India and many other countries in the world. The below job opportunity is to one of our clients who is a part of a trusted global innovator of IT and business services headquartered in Tokyo. We help clients transform through consulting, industry solutions, business process services, IT modernization and managed services. This client enables us to move confidently into the digital future. This client committed to Long Term success and combine global reach with local client attention to serve them in over 50 Countries.

Position: Devops Platform Engineer

Location: PAN India

Work Type: Hybrid

Job Type: Full Time

DevOps, Platform Engineer:

• Lead Infrastructure-as-Code practices using Terraform, including modules, state management, conventions, and governance.
• Design, build, and own scalable, secure platform infrastructure on AWS (EC2, IAM, EKS/ECS, S3, VPC, CloudWatch, Storage).
• Define and standardize platform patterns for computer, networking, deployments, and observability.
• Build, enhance, and architect CI/CD pipelines using GitHub, GitLab, Jenkins, and Azure DevOps.
• Own container orchestration platforms (Docker, ECS/EKS), including networking, upgrades, resilience, and reliability.
• Design and develop automation-first solutions using Python, Shell, PowerShell, or Go.
• Build internal tooling for deployments, operational housekeeping, diagnostics, and self-service capabilities.
• Drive clean, modular, and reusable automation patterns that can be adopted and extended across teams.
• Own observability standards using Prometheus, Grafana, Splunk, ELK, Datadog, and CloudWatch.
• Awareness of AIOps concepts such as anomaly detection, alert correlation, and predictive insights.
• Exposure to MLOps pipelines including model deployment and containerized ML workloads

TekWissen Group is an equal opportunity employer supporting workforce diversity.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.