Director, AI-Enabled DevOps Transformation

Own executive relationships across a portfolio of strategic enterprise accounts; serve as the single point of accountability for client outcomes, satisfaction, and growth.

Co-develop and execute account strategies that expand Valiantys' footprint across SDLC tooling (Atlassian, GitHub/GitLab), AI-enabled delivery, DevOps, and cloud infrastructure.

Lead solutioning for complex pursuits — partnering internally to scope DevOps, platform engineering, and AI-augmented SDLC engagements.

Shape and communicate target architectures spanning CI/CD, security, compliance, resilience, and AI copilots integrated into the delivery lifecycle.

Govern delivery quality in partnership with engagement managers; intervene on escalations and ensure architectural integrity.

Represent Valiantys in executive briefings, QBRs, industry events, and joint go-to-market activities.

Mentor consultants and architects, contributing to Valiantys' practice development in AI-enabled SDLC and DevOps.

Do you have what it takes to be our new Director, AI-Enabled DevOps Transformation ?

10+ years in consulting, professional services, or enterprise technology roles, with at least 5 years in client-facing leadership (Client Partner, Engagement Director, or equivalent).

SDLC expertise: proven track record modernizing software delivery lifecycles — requirements, source control, CI/CD, test automation, release management, and value stream metrics.

AI-enabled delivery: demonstrated experience embedding AI/LLM capabilities (e.g., code assistants, agentic workflows, AI-driven testing, intelligent ITSM) into enterprise SDLC and DevOps practices.

DevOps Solution Architect background: hands-on or architectural depth in CI/CD pipelines, GitOps, container platforms (Kubernetes/EKS), IaC (Terraform, CloudFormation), and observability tooling.

Infrastructure expertise: strong foundation in cloud and platform infrastructure — networking, identity, security, scalability, and reliability engineering at enterprise scale.

AWS credentials: active AWS certification — minimum AWS Certified Solutions Architect – Professional or AWS Certified DevOps Engineer – Professional or equivalent in Azure or GCP.

Demonstrated ability to lead multi-million-dollar account portfolios and complex pursuits.

Excellent executive communication, commercial acumen, and consultative selling skills.

Bachelor's degree in Computer Science, Engineering, or related field; advanced degree a plus.

Preferred Qualifications

• Experience within the Atlassian ecosystem (Jira, Jira Service Management, Confluence, Rovo).

• Additional preferred certifications: Certified Kubernetes Administrator (CKA), ITIL, SAFe, HashiCorp Cloud Engineer.

• Experience scaling AI platform capabilities (RAG, MCP, agent orchestration) in regulated industries.

• Experience with or exposure to AWS industry specializations

• Established network within AWS partner organizations and joint GTM motions.

• Prior P&L ownership in a consulting or systems integrator environment.

• Location: This role can be located in Canada or in the United States. We offer flexible remote working policy.