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Popular DevOps role in a metro with a recognizable employer and mid-senior level increases competition.
Core DevOps skills are transferable, but AI-assisted tooling and enterprise compliance increase role specificity.
Explicit 6–9 years plus mandatory cloud, IaC, Kubernetes, observability, and certifications indicate high filtering.
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Design and implement AI-assisted Infrastructure as Code (IaC) tooling and AI-driven DevOps workflows to automate and optimize cloud infrastructure and deployment pipelines.
Engineer and manage scalable AWS/Azure cloud infrastructure focusing on proactive monitoring, disaster recovery, CI/CD modernization, and automated self-healing systems.
Champion DevOps standardization aligning with security and compliance frameworks while driving high-velocity automated releases and improving developer productivity through automation and metrics analysis.
6–9 years of hands-on experience in enterprise DevOps and Observability platforms in large-scale environments.
Proficiency in AWS and Azure cloud platforms, including certifications such as AWS/Azure Solutions Architect or DevOps Engineer.
Strong expertise in Infrastructure as Code tools like Terraform and AWS/Azure CloudFormation, container technologies (Docker, Kubernetes, ECS, EKS), and observability platforms (e.g., Datadog, Prometheus, ELK).
Experience applying AI-driven tools and automation, with knowledge of Agentic AI, Model Context Protocol (MCP), AI/ML lifecycle management, and governance in cloud environments.
Mid- to senior-level engineer with proven ability to integrate AI-driven automation into complex cloud infrastructure and DevOps workflows.
Experienced in operating within large, cross-functional teams, capable of independently delivering high-quality, customer-focused cloud solutions under compliance frameworks.
Strategic thinker with ability to align engineering practices with business goals, improve operational efficiency, and influence stakeholders through credibility and data-driven insights.