GCP, GKE, Terraform

About Company: Our Client Corporation provides digital engineering and technology services to Forbes Global 2000 companies worldwide. Our Engineering First approach ensures we can execute all ideas and creatively solve pressing business challenges. With industry expertise and empowered agile teams, we prioritize execution early in the process for impactful results. We combine logic, creativity and curiosity to build, solve, and create. Every day, we help clients engage with new technology paradigms, creatively building solutions that solve their most pressing business challenges and move them to the forefront of their industry.

Job Title : GCP, GKE, Terraform

Job Locations : Bengaluru, Hyderabad, Pune

Experience : 7+ years

Education Qualification : Any Degree Graduation

Work Mode : Hybird

Employment Type : Contract

Notice Period : Immediate - 10 Days

Job Summary

We are seeking a highly skilled and motivated Cloud Platform Engineer with expertise in cloud infrastructure, container orchestration, observability, and AI/ML deployment. The ideal candidate will have hands-on experience with GCP, Kubernetes, and serverless architectures, and will play a key role in building scalable, secure, and intelligent cloud-native solutions.

Key Responsibilities

Design, implement, and manage cloud infrastructure using GCP

Deploy and manage containerized applications using Kubernetes (GKE, EKS, AKS).

Integrate and maintain observability tools such as Grafana, Splunk, and Datadog.

Architect and implement service mesh solutions using Istio or similar technologies.

Develop and deploy serverless applications using GCP Functions or AWS Lambda.

Collaborate with data scientists to operationalize AI/ML models using TensorFlow Serving and GCP ML.

Ensure high availability, scalability, and security of cloud services.

Participate in code reviews, architecture discussions, and DevOps best practices.

Required Skills

Proficiency in cloud platforms: GCP, AWS

Strong experience with Kubernetes and container orchestration.

Familiarity with logging and monitoring tools: Grafana, Splunk, Datadog.

Knowledge of networking concepts and service mesh technologies (e.g., Istio).

Experience with serverless computing frameworks.

Exposure to AI/ML deployment pipelines and tools like TensorFlow Serving and GCP ML.

Scripting and automation skills (Python, Bash, Terraform, etc.).

Preferred Qualifications

Certifications in GCP

Experience with CI/CD pipelines and GitOps workflows.

Understanding of security and compliance in cloud environments.

Excellent problem-solving and communication skills.