16h ago
New

Senior Lead, Site Reliability Engineering

IndiaIndia·Chennaisenior
EngineeringReliability Engineer
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Quick Summary

Key Responsibilities

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

Technical Tools
EngineeringReliability Engineer

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.

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.
  • 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.

Requirements

~1 min read
  • 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
  • Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, Data Science, or related field.
  • 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.
  • Generative AI, LLMs, RAG, Agentic AI frameworks
  • AI orchestration platforms
  • Prompt engineering and workflow automation
  • AI governance and responsible AI practices
  • Microsoft Azure
  • Google Cloud Platform (GCP)
  • Multi-cloud architecture and operations
  • Kubernetes
  • AKS / GKE
  • Docker
  • Infrastructure as Code (Terraform preferred)
  • GitHub
  • GitHub Actions
  • CI/CD pipelines
  • REST APIs
  • Event-driven architectures
  • OpenTelemetry
  • Prometheus
  • Grafana
  • Datadog
  • Splunk
  • Dynatrace
  • New Relic
  • Jira
  • Confluence
  • Agile/Scrum frameworks
  • Python
  • Go
  • Java
  • JavaScript/TypeScript
  • Bash/Shell scripting
  • 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

Offers of employment are conditional upon passage of screening criteria applicable to the job

Integrated into our shared values is NCR Voyix’s commitment to equal employment opportunity.  All qualified applicants will receive consideration for employment without regard to sex, age, race, color, creed, religion, national origin, disability, sexual orientation, gender identity, veteran status, military service, genetic information, or any other characteristic or conduct protected by law.  NCR Voyix is committed to being a globally inclusive company where all people are treated fairly, recognized for their individuality, promoted based on performance and encouraged to strive to reach their full potential.  We believe in understanding and respecting differences among all people.  Every individual at NCR Voyix has an ongoing responsibility to respect and support a globally diverse environment.

Statement to Third Party Agencies
To ALL recruitment agencies: NCR Voyix only accepts resumes from agencies on the preferred supplier list. Please do not forward resumes to our applicant tracking system, NCR Voyix employees, or any NCR Voyix facility. NCR Voyix is not responsible for any fees or charges associated with unsolicited resumes

“When applying for a job, please make sure to only open emails that you will receive during your application process that come from a @ncrvoyix.com email domain.”

Location & Eligibility

Where is the job
Chennai, India
On-site at the office
Who can apply
IN

About this job

Who can apply
India
Posted
Today
Employer
has 153 open jobs on Jobera in 6 countries.

Listing Details

Posted
October 26, 2026
First seen
October 26, 2026
Last seen
October 26, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
51%
Scored at
October 26, 2026

Signal breakdown

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Senior Lead, Site Reliability Engineering