DevOps Engineer at TestMu AI (Formely LambdaTest) Ā· Noida Ā· 1 - 5 years Ā· ā¹6L - ā¹25L / yr Ā· Raised funding Ā· Posted 24 Apr 2026

DevOps Engineer (Cloud & Infrastructure)
š Noida | š Full-Time | š§ Experience: 2ā4 years
About TestMu AI
TestMu AI (formerly LambdaTest) is an AI-native platform designed to move software testing beyond simple automation into the era of agentic intelligence. It provides end-to-end AI agents that manage the entire Quality Engineering lifecycle.
- Full-Stack AI Agents:Ā Autonomously plan, author, execute, and analyze tests across the SDLC.
- Comprehensive Coverage:Ā Supports web, mobile, and enterprise applications.
- Real-World Testing:Ā Scale execution across real devices, browsers, and custom environments.
About the Role
This isn't a role for someone who just wants to "maintain" systems. As aĀ DevOps EngineerĀ at TestMu AI, you are the architect of the automated highways that power our AI agents. You will step into a fast-paced environment where you bridge the gap between cloud-native automation and core infrastructure.
You will manage complex CI/CD pipelines, troubleshoot deep-seated Linux issues, and ensure our hybrid-cloud environment (AWS/Azure) is as resilient as the code it runs.
Key Responsibilities: The Pillars of Growth
A. DevOps & Automation (50% Focus)
- Platform Orchestration: Lead the migration to modular, self-healingĀ TerraformĀ andĀ HelmĀ templates.
- Agentic CI/CD: ArchitectĀ GitHub ActionsĀ workflows that treat AI agents as first-class citizens, automating environment promotion and risk scoring.
- Kubernetes Mastery: Advanced management ofĀ DockerĀ andĀ K8sĀ clusters to support scalable production workloads.
- Predictive Observability: UseĀ Prometheus, Grafana, and ELKĀ to move from reactive alerts to autonomous anomaly detection.
B. Networking & Data Center Mastery (30% Focus)
- Hybrid Networking: Design and troubleshoot VPCs and subnets inĀ Azure/AWS/GCP, paired with physicalĀ VLANsĀ and switches in our data centers.
- Bare-Metal Lifecycle: Automate hardware provisioning, RAID setup, and firmware updates for our real-device cloud.
- Remote Admin: Master out-of-band management (iDRAC, iLO, IPMI) to ensure 100% remote operational capability.
- Core Protocols: Own the lifecycle of DNS, DHCP, Load Balancing, and IPAM across distributed environments.
C. Development & Scripting (20% Focus)
- Backend Integration: Debug and optimizeĀ Python or GoĀ code; understanding how logic interacts with system-level resources.
- Advanced Scripting: Write idempotentĀ Bash/PythonĀ scripts to automate complex, multi-server operational tasks.
- Agentic Tooling: Support the integration of LLM-based developer tools into DevOps workflows to eliminate "toil".
The Interview Journey
We value your ability to solve problems under pressure more than your ability to memorize documentation.
- Technical Round 1 (DevOps Leads): A live session focused on real-world debugging scenarios and Linux fundamentals.
- Technical Round 2 (Hiring Manager / Pod Lead): An assessment of your architectural thinking, automation strategy, and team alignment.
- Technical Round 3 (SVP Engineering / VP DevOps): Strategic discussion on scalability, infrastructure vision, and technical leadership.
- Final Round (CEO): Mission alignment, cultural fit, and the "big picture" at TestMu AI.
Growth Timeline
This is a high-visibility role. You will receive direct mentorship from our senior engineering leadership. As you master our production environment, you will have a clear path to move intoĀ Senior DevOps EngineerĀ orĀ Infrastructure ArchitectĀ roles as our pods scale.
Perks That Matter
Health Cover: Comprehensive insurance for you and your family.
Fresh Meals: Daily catered meals at the office.
Transport: Safe cab facilities for eligible shifts.
Pod Budgets: Dedicated engagement budgets for team building and offsites.

About TestMu AI (Formely LambdaTest)
About
TestMu AI (formerly LambdaTest) is the worldās first full-stack Agentic AI Quality Engineering Platform.
We built TestMu AI for a reality where software is written by AI and must be shipped at machine speed.
Tech stack
Connect with the team
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Job SummaryĀ
We are looking for an experienced DevOps & Cloud Engineer with 4+ years of experience in cloud infrastructure management, Kubernetes administration, CI/CD pipeline automation, and containerization. The ideal candidate should have hands-on experience with Azure cloud services, Azure Kubernetes Service (AKS), Azure DevOps, Jenkins, Docker, Terraform, and infrastructure automation.Ā
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Ā
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We are looking for a proactive and skilled DevOps Engineer to join our team and play a key role in building, managing, and scaling infrastructure for high-performance systems. The ideal candidate will have hands-on experience with Kubernetes, Docker, Python scripting, cloud platforms, and DevOps practices around CI/CD, monitoring, and incident response.
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- Excellent understanding of Ruby, Python, Perl, and Java
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Applications on this job are not being reviewed actively. You may apply but please follow up with the company via other channels too.
Job Description :
DevOps Engineer (Linux, Kubernetes & CI/CD)
Experience:
3ā5 Years
Job Summary:
We are seeking a skilled and proactive DevOps Engineer with 3ā5 years of hands-on experience in Linux administration, Kubernetes, containerization, and CI/CD automation.
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- CI/CD: Hands-on experience building and maintaining pipelines using GitLab CI/CD, Jenkins, or similar tools.
- GitOps & Deployment: Working knowledge of Argo CD, Helm, Docker, and Git.
- Automation: Experience with Bash/Shell scripting; knowledge of Ansible, Terraform, or Python is an advantage.
- Monitoring & Troubleshooting: Ability to diagnose production issues, analyze logs, and support incident resolution.
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Qualifications
Must-Have Skills
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- Cloud: AWS (Active Directory, ECS, EC2, CloudFront, S3, VPC, IAM, RDS, Lambda basics).
- Source Control: Git ā branching, merge/rebase, PR reviews.
- CI/CD (Jenkins): Pipeline creation and basic Groovy scripting.
- Containerization (Docker + ECS): Task definitions, services, and clusters.
- IaC: Terraform.
- Monitoring: New Relic.
- Scripting: Bash and Python scripting for automation.
- Networking Basics: DNS, load balancers, security groups, VPNs.
- Logging: ELK stack / CloudWatch Logs.
- Database: MSSQL administration ā backups, restores, basic performance troubleshooting.
- Infrastructure Automation: Hands-on experience automating infrastructure provisioning, configuration, and deployment end-to-end.
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Nice-to-Have Skills
ā¢Ā Ā Ā Ā Ā Configuration Management: Ansible.
ā¢Ā Ā Ā Ā Ā Additional IaC: CloudFormation.
ā¢Ā Ā Ā Ā Ā Architecture: Knowledge of microservices architecture.
ā¢Ā Ā Ā Ā Ā Cloudflare: DNS, CDN, WAF.
ā¢Ā Ā Ā Ā Ā Artifact Repositories: Nexus, JFrog Artifactory, ECR.
ā¢Ā Ā Ā Ā Ā Other CI/CD Tools: GitHub Actions.
ā¢Ā Ā Ā Ā Ā AWS cost optimization / FinOps awareness.
ā¢Ā Ā Ā Ā Ā Datadog, CloudWatch, or Prometheus/Grafana.
ā¢Ā Ā Ā Ā Ā AIOps: Exposure to AI-driven anomaly detection, root-cause analysis, or incident triage (e.g., Dynatrace Davis AI, Datadog Bits AI, Harness AIDA).
ā¢Ā Ā Ā Ā Ā Database Basics: RDS backups, restores, performance tuning.














