DevOps Test Bench Engineer (India)

DevOps Test Bench Engineer (India) Company: Weekday AI Job Location: India Employment Type: Full-time Experience Required: 2+ years ' : - ( - ) Experience: 2+ yrs Location: Remote As a DevOps Test Bench Engineer, you will design, implement, and maintain secure, scalable, and reliable cloud-based environments across AWS, GCP, and Azure to support automated testing and continuous integration workflows for our highavailability services, ensuring rapid feedback loops and high product quality. You will collaborate with crossfunctional teams, leveraging advanced Linux proficiency and infrastructureascode principles to orchestrate workloads, monitor system health, and troubleshoot production anomalies while driving operational excellence and resilience. Your role will serve as the bridge between development, SRE, and QA, continuously improving deployment pipelines, performance optimization, and costefficiency in a quickpaced, remotefirst culture. Design and build endtoend test benches on AWS, GCP, and Azure using IaC tools such as Terraform or Pulumi. Automate provisioning, scaling, and teardown of test environments using Ansible, Chef, or Puppet. Integrate test benches with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins) to enable automated endtoend testing. Monitor and analyze system metrics, logs, and traces with Prometheus, Grafana, ELK, and CloudWatch to ensure test bench reliability. Optimize cost and performance of cloud resources by implementing rightsizing, spot instances, and reserved capacity plans. Develop and maintain security hardening policies, IAM roles, and compliance checks for all cloud infrastructure. Collaborate with SRE teams to define SLAs, incident response plans, and disaster recovery procedures for test environments. Mentor junior engineers and provide thought leadership on emerging DevOps and SRE best practices. Conduct capacity planning, load testing, and resilience testing to validate infrastructure under realworld scenarios. Document architecture, procedures, and runbooks to facilitate knowledge transfer and audit compliance. 2+ years of handson cloud engineering experience across AWS, GCP, and Azure. Strong command of Linux system administration and shell scripting. Proficiency with DevOps tooling: Docker, Kubernetes, Helm, CI/CD orchestrators, and IaC frameworks. Experience implementing monitoring, alerting, and observability solutions for distributed applications. Demonstrated ability to troubleshoot complex failure scenarios in production environments. Solid understanding of SRE principles, including incident management, postmortem analysis, and reliability engineering. Excellent communication skills and a collaborative mindset suited for remote, crossfunctional teams. Ability to balance speed of delivery with security, scalability, and costefficiency considerations. A proactive stance on continuous learning and an eagerness to adopt new technologies. Proven track record of delivering reliable, automated testing infrastructure that reduces release risk. .