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Tiger Analytics

Delivers Data and AI transformation

Application Architect

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listedRemote

About the Job

Requirements

  • 12+ years of experience in enterprise application architecture and modernization.
  • Strong hands-on full-stack experience across modern frontend frameworks, backend services, APIs, and databases.
  • Proven experience building high-volume, transaction-heavy systems with strict latency requirements.
  • Deep expertise in microservices, event-driven architecture, API management, and gateway design.
  • Strong experience with microservices architectures, including React or Angular, Spring Boot, Node.js or FastAPI, NoSQL databases, PostgreSQL, REST or GraphQL, Kafka, Kubernetes, Okta, Elastic, Grafana, Prometheus, and similar technologies.
  • Experience with Site Reliability Engineering techniques, such as chaos engineering, performance engineering, toil reduction, and reliability engineering.
  • Experience with containerization and orchestration using Docker and Kubernetes.
  • Strong understanding of distributed systems, caching strategies, and resiliency patterns.
  • Solid experience in security architecture and compliance.
  • Familiarity with real-time streaming technologies.
  • Strong stakeholder communication and cross-functional leadership skills.

Responsibilities

  • Lead modernization initiatives, transforming legacy systems into cloud-native, scalable architectures.
  • Design and architect API-first ecosystems, including RESTful and event-driven APIs.
  • Build and optimize event-driven architectures using messaging and streaming platforms.
  • Define and implement API gateways for routing, security, throttling, and monitoring.
  • Architect high-throughput, low-latency distributed systems with strong resiliency.
  • Design end-to-end full-stack solutions across frontend, backend services, APIs, and data layers.
  • Ensure strong security architecture, including authentication, authorization, encryption, and zero-trust principles.
  • Drive deployments across cloud platforms including AWS, Azure, and Google Cloud Platform, as well as on-premises and hybrid environments.
  • Ensure responsive, intuitive user experiences compatible with desktop and mobile platforms.
  • Establish architecture standards, scalability patterns, and performance benchmarks.

About the Company

Tiger Analytics

Delivers Data and AI transformation

Tiger Analytics helps large organizations plan and execute Data and AI–led transformations at scale. It works with clients to translate business needs into data and AI initiatives, using an approach that combines business value mapping, agile operating models, and a platforms-based architecture, backed by partnerships with major hyperscalers. The company designs and delivers end-to-end data and AI solutions—from strategy and data engineering to model development and deployment—so that AI can be applied to tough, real-world problems. Unlike firms that rely mainly on standard playbooks, Tiger Analytics builds custom approaches and accelerators to suit each client’s value chain and operating model. With a global team of 5000+ technologists and consultants, the goal is to enable measurable value and practical outcomes through data and AI programs that work at enterprise scale.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
San Jose, CA
Founded
2010

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