Devops Consultant

Job summary

The DevOps Consultant role focuses on leading enterprise clients in adopting AI-enabled engineering practices and modern DevSecOps capabilities. Key responsibilities include analyzing IT environments for efficiency improvements, architecting intelligent DevOps tooling infrastructure, and managing cloud platforms like AWS, Azure, and GCP, while driving automation and engineering excellence initiatives.

Qualifications

• Minimum 12 years of information technology experience, including substantial experience in DevOps, DevSecOps, and platform engineering.
• Proven experience leading enterprise consulting engagements and implementation programs.
• Strong understanding of CI/CD/CT, release engineering, and deployment automation.
• Practical experience with engineering platforms and tools such as Git, Maven, and Azure DevOps.
• Experience with Terraform, Ansible, Chef, Puppet, and comparable automation technologies.
• Experience with Kubernetes, OpenShift, EKS, AKS, and Docker.
• Strong cloud experience across AWS, Azure, or GCP, including architecture and operational optimization.
• Strong SRE knowledge, including SLIs, SLOs, and incident management.
• Hands-on experience with observability and APM platforms such as Prometheus and Grafana.
• Experience enabling AI-assisted engineering workflows using Copilot capabilities.

Responsibilities

• Analyze client IT environments for efficiency improvements using DevOps, DevSecOps, cloud-native platforms, automation, and AI-powered engineering tools.
• Prepare gap assessments and design roadmaps for AI-integrated DevOps automation, covering CI/CD/CT pipelines.
• Architect and implement intelligent DevOps and DevSecOps tooling infrastructure, including integrations across platforms.
• Design, build, and optimize CI/CD/CT pipelines across Java, .NET, ERP platforms, and cloud-native applications.
• Drive automation across build, release, deployment, infrastructure provisioning, and operational processes.
• Support platform engineering initiatives focusing on scalable, secure, and intelligent engineering environments.
• Work with cloud platforms such as AWS, Azure, and GCP, including auto-scaling and capacity planning.
• Manage and support container platforms and cloud-native environments including Kubernetes and Docker.
• Drive Engineering Excellence initiatives through adoption of DORA metrics and continuous improvement frameworks.

Skills

Degrees

Relocation