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Tiger Analytics

Delivers Data and AI transformation

Lead Full Stack Engineer

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeMcLean, VA, USANo salary listed

About the Job

Requirements

  • At least 10 years of experience in full stack development.
  • Strong hands-on experience with Vue.js, Node.js, and Python.
  • Proven experience with generative AI or large language model integration is required.
  • Experience with AWS cloud services, including Lambda, S3, RDS, and Fargate.
  • Experience building REST or GraphQL APIs.
  • Experience with Kafka or event-driven architecture.
  • Hands-on experience with Docker, Kubernetes, and continuous integration and continuous delivery pipelines.
  • Strong knowledge of relational database management systems, including Postgres, MySQL, or Oracle.
  • Strong problem-solving and communication skills.

Responsibilities

  • Design and develop full stack applications using Vue.js, Node.js, and Python.
  • Integrate generative AI and large language model-based solutions into applications, including prompt engineering, APIs, and model integration.
  • Build and maintain RESTful APIs and/or GraphQL services.
  • Develop scalable, event-driven systems using Kafka.
  • Deploy and manage applications on AWS, including Lambda, S3, RDS, and Fargate.
  • Implement continuous integration and continuous delivery pipelines and containerized deployments using Docker and Kubernetes.
  • Work with relational databases such as Postgres, MySQL, or Oracle.
  • Collaborate with cross-functional teams, including product, design, and data teams.
  • Ensure application performance, scalability, and security.

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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