DevOps Practice Lead

We are seeking a dynamic and strategic Dev Ops Practice Lead to lead and expand our Dev Ops practice across multiple client engagements and internal transformation initiatives. This role is responsible for defining Dev Ops strategy, driving delivery excellence, building high-performing teams, developing innovative solutions, and enabling enterprise-scale cloud and Dev Ops transformations. This leadership role will drive enterprise modernization initiatives by combining Cloud, Automation, Dev Sec Ops , AI/ML Operations (MLOps), and Generative AI (GenAI) capabilities to accelerate software delivery, operational efficiency, and business innovation.

The ideal candidate will possess strong expertise in Dev Ops and Cloud Engineering along with emerging capabilities in AI-assisted software delivery, AIOps, MLOps, and GenAI-powered engineering productivity solutions. The candidate combines strong technical expertise with leadership, client engagement, business development, and organizational transformation experience.

• Define and execute the overall Dev Ops practice vision, roadmap, and growth strategy.
• Build scalable Dev Ops service offerings, accelerators, frameworks, and reusable assets.
• Establish enterprise Dev Ops standards, governance models, and best practices.
• Drive innovation across CI/CD, Infrastructure Automation, and Dev Sec Ops  capabilities.
• Lead adoption of AI-driven engineering and operational capabilities across the SDLC.
• Lead Dev Ops transformation initiatives for clients and internal teams.

• Serve as a trusted advisor to clients on Dev Ops strategy, cloud adoption, automation, and operational transformation.
• Lead Dev Ops assessments, maturity evaluations, workshops, and roadmap development engagements.
• Drive successful delivery of enterprise transformation programs involving Dev Ops automation, and AI adoption.
• Oversee successful delivery of Dev Ops programs across multiple accounts and portfolios.
• Ensure delivery quality, operational excellence, SLA adherence, and customer satisfaction.
• Manage executive stakeholder communication and strategic planning discussions.
• Create, Track and Deliver Dev Sec Ops  and Infra metrics.

• Build, mentor, and lead high-performing Dev Ops, MLOps and Cloud teams.
• Define career paths, competency models, training plans, and certification strategies for AI-enabled engineering practices.
• Foster a culture of automation, collaboration, innovation, continuous learning, and accountability.
• Support hiring, workforce planning, onboarding, and resource management activities.
• Guide enterprise adoption of CI/CD pipelines, Infrastructure as Code, Git Ops, containerization, and cloud-native architectures.
• Drive automation initiatives across build, release, deployment, testing, infrastructure provisioning, monitoring, and operations.
• Innovate and infuse GenAI solutions to the automation initiatives.
• Lead implementation of scalable and secure Dev Ops platforms using tools such as:
• Jenkins
• Git Hub Actions
• Terraform
• Docker
• Ansible
• Partner with Security teams to integrate Dev Sec Ops  and compliance automation practices. Integrate security and compliance into automated CI/CD pipelines.

• Support pre-sales activities including solutioning, estimations, proposals, RFP responses, and client presentations.
• Develop innovative offerings and AI-enabled accelerators to improve delivery efficiency and market differentiation.
• Identify opportunities to improve engineering productivity using AI and automation.
• Contribute to strategic partnerships, alliances, and technology evaluations.

• Define KPIs, metrics, dashboards, and governance processes for Dev Ops operations.
• Improve deployment frequency, release quality, platform reliability, and operational efficiency.
• Establish observability, incident management, and SRE best practices.
• Drive continuous improvement initiatives and operational maturity programs.

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field.
• 15+ years of experience in Dev Ops, Cloud Engineering, Infrastructure Engineering, and Software Delivery.
• 10+ years in leadership or practice management roles.
• Strong expertise in:
• CI/CD
• Infrastructure as Code
• Dev Sec Ops
• Experience implementing AI/ML or Generative AI solutions within engineering or operational workflows.
• Experience leading large-scale Dev Ops transformation programs.
• Deep understanding of Dev Ops, and SRE methodologies.
• Experience managing global teams and delivering enterprise client engagements.
• Support pre-sales activities including solutioning, estimations, proposals, RFP responses, and client presentations.
• Strong communication, presentation, stakeholder management, and leadership skills.

• Deep understanding of Agile, SAFe methodologies.
• Experience with:
• GPT
• Certifications such as:
• Kubernetes Certifications (CKA/CKS)
• ITIL
• Terraform Associate
• Dev Ops…