Cloud Solution Architect
Location: Chennai, Bangalore, Hyderabad
Who we are
Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.
Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.
We are a Great Place to Work-Certified™ (2022-25), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.
About the role:
We are seeking a highly skilled Cloud Solutions Architect to design, build, and evolve a scalable, multi-market, tenant-aware platform leveraging Azure Kubernetes Service (AKS). This role demands deep technical expertise, strong architectural decision-making capabilities, and the ability to lead teams while owning the end-to-end system design, performance, and delivery timelines. The architect will collaborate closely with engineering, DevOps, data, and product teams to ensure the platform is secure, performant, cost-efficient, and future-ready.
What do we expect?
Architecture & System Design
- **8–12+ years*of professional software engineering experience, with **3–5+ years*in an architect or technical leadership role, owning system design and delivery decisions.
- Design and maintain a single codebase, multi-market architecture with a roadmap toward tenant-aware deployments, ensuring market-specific infrastructure is avoided.
- Define scalable REST API architecture to support both web and mobile clients.
- Architect high-availability, fault-tolerant systems using AKS with Horizontal Pod Autoscaler (HPA) and Kubernetes Event-driven Autoscaling (KEDA).
- Drive memory-optimized and performance-efficient API designs for handling large data volumes.
Cloud & Kubernetes (Azure)
- Lead the architecture on Azure Kubernetes Service (AKS), including:
* Pod autoscaling (HPA)
* Event-driven scaling (KEDA)
* Resource optimization and cost control
- Implement secure secret management using Azure Key Vault.
- Design cloud-native deployment patterns aligned with Azure best practices.
Backend & API Engineering
- Oversee the development of Django-based REST APIs.
- Architect background processing using Celery and Redis.
- Optimize Gunicorn worker configurations for performance and memory efficiency.
- Ensure APIs maintain efficient response times when dealing with large datasets.
Data Architecture
- Design and optimize data storage utilizing:
* Azure SQL for structured, high-volume transactional data, including indexing strategies, partitioning, and query optimization.
* Cosmos DB for NoSQL workloads.
- Define comprehensive caching strategies using Redis, including API response caching and cache invalidation when underlying data changes.
- Work with Azure Data Factory (ADF) and Azure Databricks (ADB) for reporting and data pipelines.
Security & Integration
- Integrate and manage APIGEE as the API Gateway.
- Handle Okta token validation and manage authentication/authorization flows.
- Ensure platform security, compliance, and best practices across all services.
Observability & DevOps
- Implement centralized logging and monitoring using the Elastic Stack.
- Define CI/CD pipelines using Azure DevOps Pipelines.
- Manage repositories, branching strategies, and code quality validation.
- Enforce best practices for code reviews, testing, and release management.
Leadership & Delivery
- Provide technical leadership and mentorship to engineering teams.
- Participate in architecture reviews and technical decision-making.
- Collaborate with product and project managers to estimate work, define milestones, and manage delivery against project timelines.
- Use Azure DevOps Boards for planning, tracking, and execution.
- Act as the bridge between business requirements and technical solutions.
Required Technical Skills
Must Have
- Azure Cloud Architecture (AKS, Key Vault, Azure SQL, Cosmos DB)
- Kubernetes, HPA, KEDA
- Django REST Framework
- Celery, Redis
- APIGEE API Gateway
- Okta authentication & token validation
- Azure DevOps (Boards, Repos, Pipelines)
- SQL performance tuning (indexing, partitioning, query optimization)
- Designing APIs for large data volumes
- Logging and monitoring (Elastic Stack)
Nice to Have
- Multi-tenant SaaS architecture experience
- Cost optimization strategies in Azure
- Event-driven architectures
- Experience supporting high-traffic mobile applications
Soft Skills & Leadership
- Strong ownership mindset and decisive decision-making ability.
- Excellent communication skills with both technical and non-technical stakeholders.
- Proven experience managing and mentoring teams.
- Ability to balance short-term delivery goals with the long-term architectural vision.
- Comfortable working in fast-paced, evolving environments.
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.