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ยท DevOps / Platform Engineer

DevOps Test Bench Engineer

Weekday AI ยท India ยท India

Full time Posted Open until 28 Oct 2026

The job, in the employer's words

๐—ง๐—ต๐—ถ๐˜€ ๐—ฟ๐—ผ๐—น๐—ฒ ๐—ถ๐˜€ ๐—ณ๐—ผ๐—ฟ ๐—ผ๐—ป๐—ฒ ๐—ผ๐—ณ ๐˜๐—ต๐—ฒ ๐—ช๐—ฒ๐—ฒ๐—ธ๐—ฑ๐—ฎ๐˜†'๐˜€ ๐—ฐ๐—น๐—ถ๐—ฒ๐—ป๐˜๐˜€

๐—ฆ๐—ฎ๐—น๐—ฎ๐—ฟ๐˜† ๐—ฟ๐—ฎ๐—ป๐—ด๐—ฒ: ๐—ฅ๐˜€ ๐Ÿฎ๐Ÿฎ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ - ๐—ฅ๐˜€ ๐Ÿฏ๐Ÿฏ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ (๐—ถ๐—ฒ ๐—œ๐—ก๐—ฅ ๐Ÿฎ๐Ÿฎ-๐Ÿฏ๐Ÿฏ ๐—Ÿ๐—ฃ๐—”)

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 highโ€‘availability services, ensuring rapid feedback loops and high product quality. You will collaborate with crossโ€‘functional teams, leveraging advanced Linux proficiency and infrastructureโ€‘asโ€‘code 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 costโ€‘efficiency in a fastโ€‘paced, remoteโ€‘first culture.

Requirements

๐—ž๐—ฒ๐˜† ๐—ฅ๐—ฒ๐˜€๐—ฝ๐—ผ๐—ป๐˜€๐—ถ๐—ฏ๐—ถ๐—น๐—ถ๐˜๐—ถ๐—ฒ๐˜€

โ€ข Design and build endโ€‘toโ€‘end test benches on AWS, GCP, and Azure using IaC tools such as Terraform or Pulumi.

โ€ข Automate provisioning, scaling, and teardown of test environments using Ansible, Chef, or Puppet.

โ€ข Integrate test benches with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins) to enable automated endโ€‘toโ€‘end testing.

โ€ข Monitor and analyze system metrics, logs, and traces with Prometheus, Grafana, ELK, and CloudWatch to ensure test bench reliability.

โ€ข Optimize cost and performance of cloud resources by implementing rightโ€‘sizing, spot instances, and reserved capacity plans.

โ€ข Develop and maintain security hardening policies, IAM roles, and compliance checks for all cloud infrastructure.

โ€ข Collaborate with SRE teams to define SLAs, incident response plans, and disaster recovery procedures for test environments.

โ€ข Mentor junior engineers and provide thought leadership on emerging DevOps and SRE best practices.

โ€ข Conduct capacity planning, load testing, and resilience testing to validate infrastructure under realโ€‘world scenarios.

โ€ข Document architecture, procedures, and runbooks to facilitate knowledge transfer and audit compliance.

๐—ช๐—ต๐—ฎ๐˜ ๐— ๐—ฎ๐—ธ๐—ฒ๐˜€ ๐—ฌ๐—ผ๐˜‚ ๐—ฎ ๐—š๐—ฟ๐—ฒ๐—ฎ๐˜ ๐—™๐—ถ๐˜

โ€ข 2+ years of handsโ€‘on cloud engineering experience across AWS, GCP, and Azure.

โ€ข Strong command of Linux system administration and shell scripting.

โ€ข Proficiency with DevOps tooling: Docker, Kubernetes, Helm, CI/CD orchestrators, and IaC frameworks.

โ€ข Experience implementing monitoring, alerting, and observability solutions for distributed applications.

โ€ข Demonstrated ability to troubleshoot complex failure scenarios in production environments.

โ€ข Solid understanding of SRE principles, including incident management, postโ€‘mortem analysis, and reliability engineering.

โ€ข Excellent communication skills and a collaborative mindset suited for remote, crossโ€‘functional teams.

โ€ข Ability to balance speed of delivery with security, scalability, and costโ€‘efficiency considerations.

โ€ข A proactive stance on continuous learning and an eagerness to adopt new technologies.

โ€ข Proven track record of delivering reliable, automated testing infrastructure that reduces release risk.

Requirements mentioned

  • Key Responsibilities
  • โ€ข Design and build endโ€toโ€end test benches on AWS, GCP, and Azure using IaC tools such as Terraform or Pulumi.
  • โ€ข Automate provisioning, scaling, and teardown of test environments using Ansible, Chef, or Puppet.
  • โ€ข Integrate test benches with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins) to enable automated endโ€toโ€end testing.
  • โ€ข Monitor and analyze system metrics, logs, and traces with Prometheus, Grafana, ELK, and CloudWatch to ensure test bench reliability.
  • โ€ข Optimize cost and performance of cloud resources by implementing rightโ€sizing, spot instances, and reserved capacity plans.
  • โ€ข Develop and maintain security hardening policies, IAM roles, and compliance checks for all cloud infrastructure.
  • โ€ข Collaborate with SRE teams to define SLAs, incident response plans, and disaster recovery procedures for test environments.
  • โ€ข Mentor junior engineers and provide thought leadership on emerging DevOps and SRE best practices.
  • โ€ข Conduct capacity planning, load testing, and resilience testing to validate infrastructure under realโ€world scenarios.
  • โ€ข Document architecture, procedures, and runbooks to facilitate knowledge transfer and audit compliance.
  • What Makes You a Great Fit
  • โ€ข 2+ years of handsโ€on cloud engineering experience across AWS, GCP, and Azure.
  • โ€ข Strong command of Linux system administration and shell scripting.
  • โ€ข Proficiency with DevOps tooling: Docker, Kubernetes, Helm, CI/CD orchestrators, and IaC frameworks.
  • โ€ข Experience implementing monitoring, alerting, and observability solutions for distributed applications.
  • โ€ข Demonstrated ability to troubleshoot complex failure scenarios in production environments.
  • โ€ข Solid understanding of SRE principles, including incident management, postโ€mortem analysis, and reliability engineering.
  • โ€ข Excellent communication skills and a collaborative mindset suited for remote, crossโ€functional teams.
  • โ€ข Ability to balance speed of delivery with security, scalability, and costโ€efficiency considerations.
  • โ€ข A proactive stance on continuous learning and an eagerness to adopt new technologies.
  • โ€ข Proven track record of delivering reliable, automated testing infrastructure that reduces release risk.

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