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Cloud DevOps Engineer - AWS / Azure / Google Cloud Platform

Cloud DevOps Engineer - AWS / Azure / Google Cloud Platform

YO HR ConsultancyHyderabad
30+ days ago
Job description

Job Role : Cloud Devops Engineer

Location : Hyderabad (Work From Office Only)

Employment Type : Full-Time

Experience : 4 - 7 Years

Roles & Responsibilities :

As a Cloud Devops Engineer , you will be responsible for driving the design, development, and maintenance of large-scale cloud-native platforms and services. Your expertise will directly contribute to the success of SaaS and PaaS product offerings, ensuring enterprise-level reliability, performance, and scalability.

Backend Development & Infrastructure :

  • Architect, design, and maintain backend infrastructure for PaaS and SaaS solutions.
  • Ensure system scalability, performance optimization, and reliability.
  • Build and enhance Cloud GUIs such as Admin Portals & Graph Insights.
  • Cloud-Native Product Development
  • Drive development of cloud-native SaaS features including cloud billing, user and organization management, monitoring, and alerting.
  • Integrate services seamlessly across AWS and GCP environments.

Kubernetes & Container Management :

Build, manage, and optimize Kubernetes (K8s) clusters and containerized workloads.

Implement container orchestration strategies for highly available systems.

Collaboration & Architecture :

  • Work closely with cross-functional teams including Product Managers, Architects, and DevOps engineers.
  • Define and implement enterprise-grade deployment strategies.
  • Contribute to the architecture and technical direction of products.
  • Operational Excellence :

  • Provide end-to-end operational support for cloud infrastructure.
  • Diagnose and resolve issues related to distributed systems and cloud services.
  • Implement monitoring, observability, and incident response practices.
  • Must-Have Skills :

  • Strong command of programming languages such as Go, Java, Python, C++, or C, with the ability to design and optimize performance-critical code.
  • Proven expertise in microservices architecture and distributed systems, including experience in scaling services horizontally and managing inter-service communication.
  • Deep working knowledge of AWS and GCP cloud platforms with hands-on experience in deploying large-scale enterprise applications.
  • Advanced proficiency with Kubernetes (K8s), including design, deployment, cluster scaling, service mesh, and container orchestration.
  • Strong understanding of Linux / Unix systems, scripting (Bash, Shell), and low-level system troubleshooting.
  • Proficiency in relational databases such as MySQL or PostgreSQL, including schema design, optimization, and query performance tuning.
  • Solid knowledge of cloud computing concepts such as elasticity, scalability, load balancing, high availability, and cost optimization.
  • Hands-on experience in building SaaS platforms with focus on multi-tenancy, user authentication, access control, and billing modules.
  • Nice to Have Skills :

  • Hands-on with Docker, Helm, and other container tools for managing deployments.
  • Familiarity with observability stacks (Prometheus, Grafana, ELK, etc.) for monitoring and diagnostics.
  • Experience in cloud security practices including IAM, VPC design, encryption, and compliance frameworks.
  • Background in cloud operations, incident management, and reliability engineering (SRE).
  • Cloud certifications (AWS, Azure, or GCP) demonstrating expertise in cloud ecosystems.
  • Previous experience in leading small teams or projects, driving outcomes, and mentoring junior members.
  • Experience & Qualification :

  • 4 - 7 years of experience in software development, cloud engineering, and distributed systems.
  • Bachelor's or Master's degree in Computer Science, IT, or related field; cloud certifications (AWS / GCP / Azure) preferred.
  • Strong programming skills in Go, Java, Python, C++, or C.
  • Hands-on experience in microservices, Kubernetes (K8s), and cloud-native architecture.
  • Proficiency with AWS / GCP cloud platforms and relational databases (MySQL, PostgreSQL, etc.).
  • Solid knowledge of Linux / Unix systems and scripting with a strong grasp of cloud computing concepts.
  • (ref : hirist.tech)

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