DevOps Architect

1 day ago


Bengaluru, Karnataka, India Tiger Analytics Full time
Desired Skills and Experience

Experience Range : 10 to 15 Years

Location : Chennai, Bangalore, Hyderabad

NP : Immediate to 30 Days

Who we are

Tiger Analytics is a global AI and analytics consulting firm. With data and technology at the core of our solutions, our 3900+ tribe is solving problems that eventually impact the lives of millions globally. Our culture is modelled around expertise and respect with a team-first mindset. Headquartered in Silicon Valley, you'll find our delivery centers across the globe and offices in multiple cities across India, the US, UK, Canada, and Singapore, including a substantial remote global workforce.

We're Great Place to Work-Certified. Working at Tiger Analytics, you'll be at the heart of an AI revolution. You'll work with teams that push the boundaries of what is possible and build solutions that energize and inspire.

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.

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

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

Every individual comes with a different set of skills and qualities so even if you don't tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. 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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