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YMinds.AI
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1 to 50 Employees · Bengaluru, India
9 open roles2 posted in 7d9 in 30d
Work-life balance 1.0Compensation & benefits 5.0Culture & values 3.0
Hiring: Engineering
What employees say
+ nothing as such young team a lot to learn
− no maintaining code false ai hype
More reviews on the company profile.
Interview experience · Python Backend Developer
Terrible intervew proess, they have an AI that takes the interview. First Round: It was fine, the AI bot asked some basic questions and itwas fine Second Round: It was supposed to be a 60 mins coding round by the AI,
Average difficulty · India · 3 reports
More interview insightsJob description
Remote
Overview
Location: Bengaluru, Karnataka
Responsibilities
- Design, deploy, automate and maintain highly available, secure and scalable cloud infrastructure across AWS, Azure and/or GCP.
- Build and maintain automated CI/CD pipelines supporting development, testing, staging and production environments.
- Implement Infrastructure as Code using Terraform and related technologies.
- Deploy, manage and troubleshoot containerized applications using Docker and Kubernetes.
- Manage Kubernetes environments across EKS, AKS, GKE or equivalent platforms.
- Automate infrastructure provisioning, deployment and operational processes using Python, Bash, PowerShell, Shell and cloud-native automation tools.
- Implement configuration management using Ansible, Chef, Puppet, SaltStack or equivalent technologies.
- Implement monitoring, logging, alerting and observability using tools such as Prometheus, Grafana, Datadog, Splunk, ELK/Elastic Stack, CloudWatch, Azure Monitor or Google Cloud Operations.
- Monitor production systems and troubleshoot infrastructure, application, networking, deployment and performance issues.
- Implement DevSecOps practices including IAM, RBAC, secrets management, vulnerability scanning, security controls and secure CI/CD pipelines.
- Support high availability, scalability, backup, disaster recovery, capacity planning and performance optimization.
- Participate in incident management, root cause analysis, postmortems and production reliability improvements.
- Collaborate with Engineering, Architecture, Security, QA and Product teams to improve deployment velocity, infrastructure reliability and engineering productivity.
- Minimum 5+ years of relevant hands-on DevOps experience is mandatory.
- Candidates with less than 5 years of relevant DevOps experience will not be considered.
- Strong production experience with AWS, Azure and/or GCP.
- Strong CI/CD pipeline implementation experience.
- Strong Infrastructure as Code experience, preferably Terraform.
- Strong Docker and Kubernetes experience.
- Strong Linux administration and scripting skills.
- Strong Git and version-control knowledge.
- Experience managing production cloud environments.
- Strong troubleshooting and problem-solving capabilities.
- Experience with monitoring, logging and observability platforms.
- Understanding of networking, DNS, load balancing, IAM, security, high availability and disaster recovery.
- Site Reliability Engineering (SRE), Platform Engineering, DevSecOps, GitOps, ArgoCD, FluxCD, Helm, Ansible, Jenkins, GitLab CI/CD, GitHub Actions, Azure DevOps, AWS CodePipeline, CloudFormation, Azure Bicep, Prometheus, Grafana, Datadog, Splunk, ELK Stack, OpenTelemetry, SonarQube, HashiCorp Vault, NGINX, Istio, Service Mesh, FinOps and Chaos Engineering.
- AWS, Azure, GCP, Kubernetes, Terraform or DevOps certifications are advantageous.
Qualifications
- Cloud Platform – AWS / Azure / GCP
- CI/CD and DevOps Tools
- Strong hands-on production experience with at least one major cloud platform:
- Strong hands-on experience designing, implementing, and maintaining automated CI/CD pipelines.
- Infrastructure as Code – Terraform
- Docker, Kubernetes and Container Orchestration
- Strong knowledge of Git, branching strategies, automated builds, testing, deployment, release management, rollback, and production deployments is required.
- Strong hands-on experience with Infrastructure as Code, with Terraform highly preferred.
- Strong production experience with Docker and Kubernetes.
- Automation, Scripting and Production Operations
- Strong scripting and automation experience using Python, Bash, Shell Scripting and/or PowerShell.
- Strong Linux administration and production troubleshooting capabilities are required.
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Job application FAQ
Last updated 22 October 2026
- How do I apply for Senior DevOps Engineer |AWS, Azure, GCP | 5+ Years Only at YMinds.AI?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. YMinds.AI may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Senior DevOps Engineer |AWS, Azure, GCP | 5+ Years Only role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Senior DevOps Engineer |AWS, Azure, GCP | 5+ Years Only remote or on-site in Anywhere?
- This listing is marked remote with location Anywhere. Confirm details on the job description before applying.
- What skills matter for this Senior DevOps Engineer |AWS, Azure, GCP | 5+ Years Only role at YMinds.AI?
- This is a senior Senior DevOps Engineer |AWS, Azure, GCP | 5+ Years Only role. Key skills include Remote. Feedback AI highlights matched vs missing skills on your profile after signup.