Senior DevOps Engineer (P4 Cloud)
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Some ghost-posting signals
- open for 40 days (30+ days starts to look stale)
- 29 open roles at this company in 30 days (mass-hiring blitz)
- no salary disclosed (correlates with ghost postings)
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About the role
Responsibilities:
Responsible for building platforms and frameworks to create consistent, verifiable, and automatic management of applications and infrastructure between non-production and production environments
Mentored exceptional engineers and DevOps developers on Cloud technology and practice.
Implement application security best practices throughout the agile SDLC
Foster and advocate for a DevOps culture at Perforce to ensure efficient testing, delivery, and deployment of all software artifacts
Lead the development and enhancements of our CI/CD pipeline infrastructure/tools.
Establish technical design principles and practices and drive them across all product portfolios to make operation design a must-have phase of the development lifecycle
Your daily tasks will include developing a technical design for our cloud platform, developing a framework, and working with Dev and DevOps teams to ensure that the product meets our quality standards.
Design and implement platform capabilities that enable AI agents to securely automate operational workflows while maintaining governance & auditability.
Requirements:
BS/MS/BTech in Computer Science, Engineering, Management, or a related field preferred.
8+ years of experience in the SaaS software cloud operation & development space. 10+ years of industry experience
Deep understanding with solid experience of fundamental services on Azure/AWS/ GCP like Compute, Network, Database, Security, Management & Observability
Expertise in managing and building CI/CD pipelines for system software, Operating Systems & libraries
Expertise in one or more of the following programming languages: Python, Ruby, Go, Java
Excellent hands-on experience with Kubernetes, Docker container technology
Hands-on experience as a software developer and technical leader is a must
Deep technical knowledge of cloud-based scalable web application architectures and technologies; AWS, Azure and GCP
Proficiency in driving secure SDLC with DevSecOps practices and metrics
Hands-on development with infrastructure as code frameworks; Terraform and Serverless Framework a plus
Experience in DevOps IaC tools like Terraform.
Understanding of agentic AI concepts, autonomous workflows, orchestration frameworks, tool calling, and human-in-the-loop operational models.
Define guardrails, security controls, and governance mechanisms for AI-driven automation to ensure compliance, reliability, and responsible AI adoption.
Experience designing AI-assisted operational automation for incident response, infrastructure management, deployment workflows, or developer productivity.
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