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 competitivenessMid-level SRE title, 3+ years, and broad cloud/CI/CD/Kubernetes skillset increase candidate competition.
Core cloud, CI/CD, and Kubernetes skills are broadly transferable across industries.
Explicit years, mandatory SRE/CI-CD/cloud skills, and production/on-call experience make shortlisting strict.
Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and maintain scalable, secure, and highly available cloud platform solutions with a focus on CI/CD pipelines, deployment automation, and infrastructure-as-code.
Drive operational excellence through proactive monitoring, incident response, and continuous reliability improvements in production systems.
Develop and deploy AI/ML models and pipelines, contribute to cloud architecture decisions, and mentor other engineers in platform and DevOps best practices.
Minimum Requirements
3+ years of hands-on experience with CI/CD tooling, automation, and deployment strategies.
2+ years of experience in AI/ML engineering, SRE, or DevOps roles.
Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).
Strong scripting or programming skills (e.g., Python, Bash, PowerShell) and experience with observability, monitoring, and incident management.
Ideal Candidate Profile
Experienced in operating and improving production cloud platforms balancing short-term delivery with long-term platform health.
Technical depth in cloud-native infrastructure (AWS/Azure/GCP) and infrastructure-as-code tools such as Terraform or ARM templates.
Ability to collaborate cross-functionally and influence platform direction while mentoring others and addressing scalability, security, and operational risks.
