Responsibilities
- Design and manage CI/CD pipelines for Terraform infrastructure, AI platform services, configuration deployment, and environment promotion.
- Implement pull-request checks, policy gates, environment approvals, build validation, security scans, and deployment controls.
- Automate Terraform plan/apply workflows, state handling, module versioning, infrastructure validation, and drift detection.
- Support deployment automation for AI Gateway, orchestration services, RAG components, observability configuration, and integration assets.
- Enable LLMOps practices including evaluation gates, prompt and configuration versioning, canary or blue-green rollouts, rollback procedures, and operational feedback loops.
- Create runbooks, release checklists, deployment dashboards, incident-support scripts, and standardized operational procedures.
- Integrate secret scanning, code scanning, IaC validation, policy checks, compliance reporting, and secure credential handling into delivery pipelines.
- Coach engineers on Git practices, branching strategies, pipeline standards, release hygiene, and automation-first ways of working.
Requirements
- Strong experience designing and operating CI/CD pipelines with Azure DevOps, GitHub Actions, Jenkins, GitLab CI, or similar platforms.
- Hands-on experience automating Terraform workflows, environment promotion, state handling, and infrastructure validation.
- Strong experience with Git, branching, pull-request governance, artifact management, and release management.
- Experience integrating quality, security, and compliance gates into automated delivery pipelines.
- Strong scripting skills using Bash, PowerShell, Python, or equivalent automation languages.
- At least 8 years of experience in DevOps, release engineering, platform automation, or cloud delivery roles.
- At least 5 years of experience building enterprise CI/CD pipelines and automated deployment frameworks.
- At least 3 years of experience with Terraform, Azure infrastructure automation, or cloud-native DevOps practices.
- Experience supporting regulated or high-availability platforms with controlled releases, auditability, and rollback requirements.
- Experience with artifact repositories, pipeline templates, reusable task libraries, Terraform state backends, tfvars management, plan validation, drift detection, policy-as-code, and environment promotion gates.
- Container and platform deployment awareness, including OpenShift and Kubernetes deployment patterns, image promotion, configuration management, and secrets handling.
- Experience integrating SAST, dependency scanning, IaC scanning, secret detection, and compliance reporting into pipelines.
- Knowledge of canary or blue-green deployment, rollback, runbooks, release dashboards, incident support, and deployment audit logs.
- Ability to collaborate with architects, cloud engineers, security, SRE, application engineering, and client IT teams.
Tech Stack
About Brillio
Brillio is The Enterprise AI Accelerator helping Fortune 1000 companies move from AI ambition to scaled impact, faster. Powered by our AI accelerator platform - Agentic Data and Application Management (ADAM), Brillio is one of the fastest-growing digital technology service providers, delivering transformation across five core workstreams: business-led transformation, customer experience transformation, AI and data engineering, digital engineering, and infrastructure engineering. With 14 delivery locations across North America, Europe, and Asia and a team of over 6,000 customer-obsessed professionals, Brillio combines deep industry expertise, modern engineering, and accelerators to deliver measurable outcomes. Brillio accelerates AI by industrializing it across every layer of the business so companies don't just use AI, they operate by it, at reliable enterprise scale.