Principal Architect - DevOps (Multicloud)

Tiger Analytics

Hyderabad, Chennai District, Bengaluru

On-site

INR 3,000,000 - 5,200,000

Full time

14 days+

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Job summary

Tiger Analytics is seeking a senior DevOps Architect to lead a small team and collaborate with program leads, technology architects and data scientists across global locations. The role focuses on multi-cloud automation, DevSecOps, and scalable infrastructure.

You will mentor engineers, drive RFP responses, and advance GenAI-enabled DevOps initiatives while ensuring robust security and performance across AWS, Azure, and GCP.

Qualifications

  • 12 to 17 years of experience in DevOps or cloud architecture.
  • Experience across AWS, Azure, and GCP in multi-cloud environments.
  • Strong knowledge of Kubernetes and containerization.
  • Proven experience automating infrastructure with Terraform and Python.
  • Ability to lead small DevOps teams and mentor juniors.
  • Experience with GenAI services and ML workflows is a plus.

Responsibilities

  • Design and implement DevSecOps pipelines across projects.
  • Mentor and guide DevOps engineers.
  • Drive RFPs and proposals for DevOps solutions.
  • Collaborate with program leads and data scientists globally.
  • Lead infrastructure automation and release management.

Skills

Cloud AWS (multi-cloud)
Kubernetes
Terraform
CI/CD
Security
GenAI
Python
Shell
Docker
Azure DevOps

Tools

Artifactory
Nexus
JFrog
Grafana
Prometheus
SonarQube
Terraform

Job description

About the role -

As a DevOps Architect, you will be responsible for supporting the DevOps capability and managing small teams of DevOps engineers. In doing so, you will closely collaborate with program leads, technology architects and data scientists across global locations. On a typical workday, you could be doing one or more of the following:

  • Estimate for Cloud Platform automation and DevOps activities and build proposals.
  • Multi Cloud exposure : AWS, Azure, GCP
  • Adept understanding of different Cloud services and platform and their associated limitations, with special focus on Network and Application security considerations.
  • Plan and perform Infrastructure automation, Build, Deploy and Release automation on various Cloud platforms.
  • Design and configure DevSecOps pipeline for various projects, working with the Client and Project teams.
  • Define, articulate, and evangelize Cloud Platform Automation activities.
  • Mentor and guide fresh talent in the capability.
  • Serve as a thought leader and SME for DevOps industry trends, new and existing technology offerings, and architectural concepts.
  • Experience in developing Agentic solution for DevOps use-cases
  • Experience in using GenAI Cloud Services - on Azure, AWS and GCP AI services
  • Identify the use cases which can be converted into reusable assets and with the help of engineering team convert that to assets
  • Conduct the sessions in DevOps tools best practices, emerging technologies etc
  • Help the team in RFP in solution DevOps approach, estimation, solution
  • Independently drive the client projects in DevOps implementations
Desired Skills and Experience -

Experience Range : 12 to 17 Years

Location : Chennai, Bangalore, Hyderabad

Technical Skills
  • Cloud : AWS, Azure, GCP
  • Containers/Orchestration : Docker, Kubernetes, AKS, EKS
  • Infra as Code : Terraform, AWS CDK or Azure Biceps
  • CI/CD Tool : AWS Code Repo, Azure DevOps
  • Repository Management : Artifactory, Nexus, JFrog
  • Code Analysis : SonarQube
  • Security Tools : Fortify/Blackduck/Checkmarx
  • Monitoring / Security : Grafana, Prometheus
  • Database : MySQL, MongoDB, DynamoDB
  • Scripting/Languages : Shell, Python, Groovy, YAML
Good to Have
  • GenAI & LLMs: LLM Fundamentals (architecture, tuning, limitations), Prompt Engineering, Agent Frameworks (LangChain, LangGraph, MCP), RAG (Retrieval-Augmented Generation) design and implementation,
  • GenAI Cloud Services : AWS Bedrock, Azure OpenAI, Google Vertex AI
    API Integration (REST, GraphQL for LLM-driven workflows), Security & Governance for GenAI (prompt injection prevention, compliance, data governance)
What do we expect?
  • Drive DevOps adoption by implementing CI/CD tool sets and best practices for automation.
  • Managing cloud AWS, Azure and GCP
  • Hands on experience with containerization and orchestration platforms using Docker, and Kubernetes on Cloud (AKS, EKS)
  • Automating tools/infra provisioning using Ansible, Terraform
  • Automate provisioning and repetitive tasks using Terraform and Python.
  • Provide mentorship and guidance to team members.
  • Experience in developing proposals and responding to Requests for Proposals (RFPs).
  • LLM Fundamentals Understanding how large language models work, their architecture, capabilities, and limitations.
  • Prompt Engineering – Designing and iterating effective prompts for automation, coding assistance, operational queries, and troubleshooting scenarios.
  • Agentic Framework – Hands-on experience with Model Context Protocol (MCP), LangGraph/ LangChain for building LLM-powered agents, multi-step reasoning workflows, and tool-augmented automation.
  • RAG (Retrieval-Augmented Generation) – Designing and implementing solutions that combine LLMs with internal documentation, operational runbooks, or logs for contextual responses.
  • GenAI Cloud Services – Hands-on experience with AWS Bedrock, Azure OpenAI Service, and Google Vertex AI Generative AI.
  • API Consumption – Proficiency in integrating GenAI models into workflows using REST and GraphQL APIs - using Python FastAPI.
  • Integration & Automation – Embedding Generative AI into CI/CD pipelines, ChatOps workflows, and ticketing systems for DevOps efficiency.
  • Security & Governance for GenAI – Implementing measures to prevent prompt injection, ensuring compliance, managing sensitive data, and setting up governance frameworks.

You are important to us, let’s stay connected!

We are an equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.

Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.

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