DevOps Lead – Azure/AWS (Multi-Cloud)

Bengaluru, Karnataka

About SAIGroup

SAIGroup is a private investment firm that has committed $1 billion to incubate and scale revolutionary AI-powered enterprise software application companies. Our portfolio, a testament to our success, comprises rapidly growing AI companies that collectively cater to over 2,000+ major global customers, approaching $800 million in annual revenue, and employing a global workforce of over 4,000 individuals.

SAIGroup invests in new ventures based on breakthrough AI-based products that have the potential to disrupt existing enterprise software markets. SAIGroup’s latest investment, JazzX AI, is a pioneering technology company on a mission to shape the future of work through an AGI platform purpose-built for the enterprise. JazzX AI is not just building another AI tool—it’s reimagining business processes from the ground up, enabling seamless collaboration between humans and intelligent systems. The result is a dramatic leap in productivity, efficiency, and decision velocity, empowering enterprises to become pacesetters who lead their industries and set new benchmarks for innovation and excellence.

Job Summary 

We are looking for a seasoned DevOps Lead with strong expertise in Azure and/or AWS to design, build, and manage scalable, secure, and automated infrastructure for cloud-native applications. This role will lead a team of DevOps engineers and work closely with software development, security, and IT operations teams to accelerate innovation and ensure operational excellence across cloud environments. 

 Key Responsibilities 

  • Lead and mentor a high-performing team of DevOps engineers across Azure and AWS cloud platforms.
  • Design and manage CI/CD pipelines using Azure DevOps, GitHub Actions, or AWS CodePipeline/CodeBuild.
  • Automate infrastructure using Terraform, CloudFormation, or Bicep/ARM templates.
  • Manage container orchestration using Kubernetes (AKS/EKS) and implement GitOps workflows.
  • Define and implement monitoring, alerting, and logging solutions using CloudWatch, Azure Monitor, Prometheus, Grafana, or Datadog.
  • Optimize cloud costs and resource usage through governance policies, tagging strategies, and FinOps practices.
  • Implement cloud security best practices, identity and access management, secrets management, and policy-as-code.
  • Drive operational excellence by setting up proactive alerting, incident response, RCA, and continuous improvement.
  • Collaborate cross-functionally to embed DevOps and SRE principles into the software development lifecycle.
  • Stay current with cloud platform enhancements and recommend strategic improvements. 

 Required Skills & Qualifications 

  • Bachelor's or Master’s degree in Computer Science, Engineering, or a related discipline.
  • 8+ years of experience in DevOps, Cloud, or Platform Engineering roles.
  • 3+ years in a technical leadership or DevOps lead role.
  • Strong expertise in either Azure or AWS, with working knowledge of the other.
    • Azure: Azure DevOps, AKS, App Services, Azure Monitor, Key Vault, ARM/Bicep.
    • AWS: EC2, ECS/EKS, S3, Lambda, CloudFormation, IAM, CloudWatch. 
  • Expertise in Infrastructure as Code using Terraform or native tools.
  • Experience with containerization (Docker) and orchestration (Kubernetes).
  • Proficiency in scripting languages (Bash, PowerShell, Python).
  • Hands-on experience with observability, CI/CD automation, and deployment strategies (blue/green, canary).
  • Strong understanding of DevSecOps and cloud compliance (SOC2, HIPAA, ISO27001). 

 Preferred Qualifications 

  • Certifications:
    • Azure: Azure DevOps Engineer Expert / Azure Solutions Architect
    • AWS: AWS Certified DevOps Engineer / Solutions Architect 
  • Experience with hybrid cloud environments and tools like Azure Arc, Outposts, or VMware Cloud.
  • Knowledge of service mesh (Istio, Linkerd) and API gateways.
  • Experience managing multi-cloud or cloud-migration projects. 

Why Join Us

At JazzX AI, you have the opportunity to join the foundational team that is pushing the boundaries of what’s possible to create an autonomous intelligence driven future. We encourage our team to pursue bold ideas, foster continuous learning, and embrace the challenges and rewards that come with building something truly innovative.

Your work will directly contribute to pioneering solutions that have the potential to transform industries and redefine how we interact with technology. As an early member of our team, your voice will be pivotal in steering the direction of our projects and culture, offering an unparalleled chance to leave your mark on the future of AI.

We offer a competitive salary, equity options, and an attractive benefits package, including health, dental, and vision insurance, flexible working arrangements, and more.

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Can you describe your experience working with Machine Learning (ML), Artificial Intelligence (AI), or Artificial General Intelligence (AGI) technologies? 

Specifically, share:

- The types of ML/AI models you've worked on (e.g., deep learning, reinforcement learning, LLMs, generative AI, etc.).
- Your role in developing, training, or deploying these models.
- Any specific tools, frameworks, or cloud platforms you’ve used (e.g., TensorFlow, PyTorch, Hugging Face, LangChain, OpenAI API, AWS/GCP/Azure ML).
- A challenging ML/AI problem you solved and the impact it had.
- If applicable, any experience contributing to AGI research or advanced autonomous AI systems.