DevOps - Senior Hiring - Multicloud
Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Aug 12, 2026. Tiger Analytics scores B on the Alion truth index.
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
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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.
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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
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GenAI & LLMs: LLM Fundamentals (architecture, tuning, limitations), Prompt Engineering, Agent Frameworks (LangChain, LangGraph, MCP), RAG (Retrieval-Augmented Generation) design and implementation,
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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.
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Prompt Engineering ? Designing and iterating effective prompts for automation, coding assistance, operational queries, and troubleshooting scenarios.
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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.
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RAG (Retrieval-Augmented Generation) ? Designing and implementing solutions that combine LLMs with internal documentation, operational runbooks, or logs for contextual responses.
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GenAI Cloud Services ? Hands-on experience with AWS Bedrock, Azure OpenAI Service, and Google Vertex AI Generative AI.
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API Consumption ? Proficiency in integrating GenAI models into workflows using REST and GraphQL APIs - using Python FastAPI.
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Integration & Automation ? Embedding Generative AI into CI/CD pipelines, ChatOps workflows, and ticketing systems for DevOps efficiency.
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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.