Back
Senior DevOps with cloud/Kubernetes skills but non-remote and mid-tier brand yields moderate competition.
Core DevOps and cloud skills transfer across industries, though SaaS and agentic-AI specifics raise domain sensitivity.
Explicit 10+ years requirement plus mandatory cloud, Kubernetes, IaC, and security skills increases filter strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and implement next-generation cloud platforms ensuring security, reliability, and high availability for SaaS production and CI/CD environments.
Build and enhance automated tools, CI/CD pipelines, and frameworks for consistent management of applications and infrastructure across environments.
Lead adoption of AI-assisted cloud operations and automation to improve operational efficiency, security, and incident response throughout the software delivery lifecycle.
8+ years experience in SaaS software cloud operations and development; total industry experience 10+ years.
Proficient with fundamental cloud services on Azure, AWS, or GCP including Compute, Network, Database, Security, Management, and Observability.
Hands-on experience with Kubernetes, Docker, CI/CD pipelines, programming languages (Python, Ruby, Go, Java), and DevOps infrastructure as code tools like Terraform.
Bachelor's or Master's degree in Computer Science, Engineering, Management, or related field preferred.
Experienced in designing cloud-based scalable web application architectures and leading technical teams in secure SDLC and DevSecOps practices.
Strong background in AI-assisted operational automation including AI agents for autonomous workflows, governance, and secure incident response.
Capable of mentoring engineers, establishing technical design principles across product portfolios, and driving platform innovation with AI integration.