Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, mid-level cloud role in Bangalore with broad platform skills drives high candidate density.
Cloud, GCP, Kubernetes, and IaC skills are highly transferable across industries.
6+ years requirement plus mandatory GCP, Golang, IaC, and Kubernetes skills create high shortlisting rigidity.
Job Description
Structured overview of role & requirementsAbout This Role
Design, build, deploy, and support scalable cloud platform capabilities mainly on Google Cloud Platform with focus on reliability, security, automation, and developer experience.
Develop and maintain Infrastructure as Code based cloud infrastructure and build APIs, automation, and tooling to simplify cloud operations and improve engineering productivity.
Lead cloud strategy and technical direction, establish engineering standards, troubleshoot complex cloud infrastructure issues, and execute research on emerging technologies.
Minimum Requirements
Bachelor’s degree or equivalent practical experience required.
6+ years experience in software development (Golang), cloud engineering (Google Cloud), platform engineering, DevOps, SRE, or infrastructure engineering with cloud services focus.
Proficiency with Infrastructure as Code tools (e.g., Terraform, Pulumi), container orchestration (Kubernetes, GKE), and cloud observability tools (e.g., Prometheus, Grafana, OpenTelemetry).
Strong domain knowledge of Google Cloud platform including compute, storage, IAM, networking, security, and cost management.
Ideal Candidate Profile
Experienced software/cloud engineer skilled in Golang and cloud engineering on GCP environments, capable of contributing to platform architecture and strategy.
Comfortable with automation, API development, Infrastructure as Code, and operational tooling to enhance engineering productivity and cloud platform reliability.
Proficient in troubleshooting complex cloud environments, driving technical decisions, and evolving engineering standards in large-scale cloud infrastructure contexts.