Senior Lead, Site Reliability Engineering

Job Summary

We are seeking an experienced AI Senior Lead to drive the design, implementation, and operationalization of enterprise AI solutions across Observability, Troubleshooting, Store Deployment, Program Management, and Edge Infrastructure domains. This role will lead the development of AI-powered agents, automate business-as-usual (BAU) operations, and integrate AI capabilities with enterprise platforms including Kubernetes, Jira, Confluence, GitHub, Azure, and Google Cloud Platform (GCP).

The ideal candidate combines expertise in AI/ML, SRE, cloud platforms, automation engineering, platform operations, and enterprise tooling integration to deliver scalable agentic solutions that improve operational efficiency, reliability, and business outcomes.

Platform & Integration Leadership

Lead integrations between AI platforms and enterprise ecosystems including:

• Kubernetes
• GitHub / GitHub Copilot
• Jira
• Confluence
• Azure AI Services
• Azure OpenAI
• Azure Kubernetes Service (AKS)
• Google Cloud Platform (GCP)
• Monitoring platforms (Datadog, Splunk, Dynatrace, New Relic, Prometheus, Grafana, etc.)
• CI/CD platforms and DevOps toolchains

Responsibilities include:

• Building agent frameworks and orchestration layers.
• Developing APIs and workflow integrations.
• Creating reusable AI services and enterprise accelerators.
• Ensuring scalability, reliability, security, and compliance.

Technical Leadership

• Define enterprise AI architecture standards and reference patterns.
• Mentor engineering teams on AI, automation, SRE, and cloud-native technologies.
• Evaluate emerging AI platforms, LLMs, agent frameworks, and automation technologies.
• Partner with business leaders, architects, and engineering teams to align AI investments with strategic goals.
• Establish KPIs and success metrics for AI adoption and operational excellence.

Required Qualifications

Education

• Bachelors or Masters degree in Computer Science, Engineering, Information Technology, Data Science, or related field.

Experience

• 10+ years of experience in software engineering, cloud infrastructure, platform engineering, or SRE.
• 5+ years of experience leading enterprise automation or AI initiatives.
• Proven experience building and operating large-scale cloud-native platforms.
• Demonstrated success leading cross-functional technical teams.

Technical Skills

AI & Automation

• Generative AI, LLMs, RAG, Agentic AI frameworks
• AI orchestration platforms
• Prompt engineering and workflow automation
• AI governance and responsible AI practices

Cloud Platforms

• Microsoft Azure
• Multi-cloud architecture and operations

Container & Platform Engineering

• AKS / GKE
• Docker
• Infrastructure as Code (Terraform preferred)

DevOps & Integration

• GitHub
• GitHub Actions
• CI/CD pipelines
• REST APIs
• Event-driven architectures

Observability

• OpenTelemetry
• Prometheus
• Grafana
• Datadog
• Splunk
• Dynatrace
• New Relic

Collaboration Tools

• Agile/Scrum frameworks

Programming

• Python
• Go
• Java
• JavaScript/TypeScript
• Bash/Shell scripting

Preferred Qualifications

• Experience implementing enterprise AI agents in production.
• Knowledge of Microsoft Copilot ecosystem and Azure OpenAI.
• Experience with AIOps platforms and autonomous remediation.
• Experience managing edge infrastructure and distributed computing environments.
• Relevant certifications:
  • Azure Solutions Architect
  • Google Professional Cloud Architect
  • Certified Kubernetes Administrator (CKA)
  • AI/ML certifications

Leadership Competencies

• Strategic thinking and innovation
• Executive stakeholder management
• Technical architecture leadership
• Cross-functional collaboration
• Operational excellence mindset
• Data-driven decision making
• Strong communication and presentation skills

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.