Head of DevOps and Analytics

Location and Employment

• The role is based in Kochi and follows a hybrid work arrangement.
• The position is permanent and full-time.

About Cyncly

About the Role

Strategy and Platform Engineering

• Define and execute the enterprise strategy and roadmap for DevOps, Platform Engineering, AI Ops, developer experience, and engineering productivity.
• Build the Internal Developer Platform as a product with self-service infrastructure, environments, reusable capabilities, golden paths, and standard toolchains.
• Define engineering metrics and dashboards for platform adoption, deployment frequency, lead time, reliability, security, developer experience, and productivity.

AI Ops and Governance

• Lead AI Ops and Agentic DevOps adoption across planning, coding, review, testing, deployment, incident response, governance, and continuous improvement.
• Establish governance for AI models, agents, generated code, orchestration, security, compliance, auditability, enterprise AI gateways, MCP integrations, and observability.

Security and Reliability

• Own CI/CD and DevSecOps standards, including automated SAST, SCA, DAST, secrets detection, software supply chain security, policy enforcement, and SDLC compliance.
• Set cloud reliability, resilience, performance, disaster recovery, observability, incident management, SLI/SLO, and error-budget practices.
• Implement automated remediation and self-healing capabilities.

Leadership

• Build and mentor high-performing DevOps, Platform, SRE, and AI Ops teams.
• Manage budgets, vendors, partnerships, and organisational change.
• Work effectively with distributed global teams across multiple time zones and collaborate with stakeholders at different organisational levels.

Qualifications and Experience

• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field; relevant certifications are preferred.
• 12 or more years of experience in software engineering, infrastructure, cloud, or DevOps, including 10 or more years leading relevant teams.
• Proven success building enterprise engineering platforms, leading cloud transformation, implementing DevSecOps, and modernizing ways of working.
• Experience leading globally distributed teams and communicating with technical, security, product, and executive stakeholders.
• Hands-on experience with AI-powered engineering workflows, coding assistants, autonomous agents, LLM operations, AI governance, and operational controls.
• Working knowledge of MCP servers, agentic workflows, tool integrations, retrieval systems, AI observability, and responsible AI risk management.

Technical Knowledge

• Microsoft Azure experience is required, with expert-level experience in Microsoft Azure, AWS, or Google Cloud Platform.
• Experience with GitHub Actions, Azure DevOps, and enterprise workflow governance.
• Experience with Infrastructure as Code using Terraform or Bicep, Docker, Kubernetes, cloud-native architectures, and Internal Developer Platforms.
• Knowledge of SAST, SCA, DAST, container security, IAM, policy-as-code, compliance, observability, OpenTelemetry, incident management, and performance engineering.
• Knowledge of generative AI platforms, LLMOps, AI Ops, agent frameworks, vector databases, MCP architecture, RAG, AI governance, and AI security.
• Microsoft AZ-204 or AZ-400 certifications are advantageous.

Leadership Competencies