Job DescriptionJob Description Tiger Analytics is looking for experienced Full Stack Engineer -Lead to join our fast-growing advanced analytics consulting firm. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are looking for a Full Stack Engineer / Lead with strong experience in modern web development, cloud-native architecture, and Generative AI (GenAI / LLM integration). This role requires hands-on expertise across frontend, backend, and cloud platforms, along with the ability to design scalable, production-grade systems. This role requires hands-on technical depth, strong architectural understanding, and the ability to work in a fast-paced hybrid environment. Responsibilities Design and develop full stack applications using Vue.js, Node.js, and Python Integrate GenAI / LLM-based solutions into applications (prompt engineering, APIs, model integration) Build and maintain RESTful APIs and/or GraphQL services Develop scalable, event-driven systems using Kafka Deploy and manage applications on AWS (Lambda, S3, RDS, Fargate) Implement CI/CD pipelines and containerized deployments using Docker & Kubernetes Work with relational databases such as Postgres, MySQL, or Oracle Collaborate with cross-functional teams including product, design, and data teams Ensure performance, scalability, and security of applications Requirements 10+ years of experience in Full Stack Development Strong hands-on experience with Vue.js, Node.js, and Python Proven experience in GenAI / LLM integration (must-have) Experience with AWS cloud services (Lambda, S3, RDS, Fargate) Solid experience building REST/GraphQL APIs Experience with Kafka or event-driven architecture Hands-on experience with Docker, Kubernetes, and CI/CD pipelines Strong knowledge of RDBMS (Postgres/MySQL/Oracle) Excellent problem-solving and communication skills Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
04/26/2026
Full time
Job DescriptionJob Description Tiger Analytics is looking for experienced Full Stack Engineer -Lead to join our fast-growing advanced analytics consulting firm. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are looking for a Full Stack Engineer / Lead with strong experience in modern web development, cloud-native architecture, and Generative AI (GenAI / LLM integration). This role requires hands-on expertise across frontend, backend, and cloud platforms, along with the ability to design scalable, production-grade systems. This role requires hands-on technical depth, strong architectural understanding, and the ability to work in a fast-paced hybrid environment. Responsibilities Design and develop full stack applications using Vue.js, Node.js, and Python Integrate GenAI / LLM-based solutions into applications (prompt engineering, APIs, model integration) Build and maintain RESTful APIs and/or GraphQL services Develop scalable, event-driven systems using Kafka Deploy and manage applications on AWS (Lambda, S3, RDS, Fargate) Implement CI/CD pipelines and containerized deployments using Docker & Kubernetes Work with relational databases such as Postgres, MySQL, or Oracle Collaborate with cross-functional teams including product, design, and data teams Ensure performance, scalability, and security of applications Requirements 10+ years of experience in Full Stack Development Strong hands-on experience with Vue.js, Node.js, and Python Proven experience in GenAI / LLM integration (must-have) Experience with AWS cloud services (Lambda, S3, RDS, Fargate) Solid experience building REST/GraphQL APIs Experience with Kafka or event-driven architecture Hands-on experience with Docker, Kubernetes, and CI/CD pipelines Strong knowledge of RDBMS (Postgres/MySQL/Oracle) Excellent problem-solving and communication skills Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
Job DescriptionJob Description Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Tiger Analytics, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. Requirements Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Qualifications: 6+ years of experience in application development including Python, SQL 4+ years of experience with Azure cloud 4+ years of experience with distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4+ years of experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation (Mongo, Cassandra) 4+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
04/26/2026
Full time
Job DescriptionJob Description Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Tiger Analytics, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. Requirements Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Qualifications: 6+ years of experience in application development including Python, SQL 4+ years of experience with Azure cloud 4+ years of experience with distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4+ years of experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation (Mongo, Cassandra) 4+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
Job DescriptionJob Description Tiger Analytics is looking for experienced Cloud Engineer to join our fast-growing advanced analytics consulting firm. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are looking for a skilled Cloud Engineer with strong AWS expertise to design, build, and support cloud-native applications and microservices. The ideal candidate will have hands-on experience developing primarily in Python (Java acceptable), building and supporting microservices in AWS, and collaborating across full-stack environments including Angular and Node.js applications Key Responsibilities Key Responsibilities Cloud Architecture & Engineering Design, develop, and maintain scalable microservices in AWS (majority C1 microservices environment). Build and deploy cloud-native applications using Python (Java acceptable). Implement secure, highly available, and fault-tolerant solutions in AWS. Support containerized deployments and CI/CD pipelines. Application Development Develop backend services using Python or Java. Work with Node.js for API development and service integrations. Collaborate with frontend teams working in Angular to ensure seamless integration. Build and manage RESTful APIs. Microservices & DevOps Develop and maintain microservices architecture. Participate in code reviews and enforce best practices. Implement logging, monitoring, and performance optimization strategies. Automate infrastructure and deployments using DevOps tools. Collaboration & Support Partner with cross-functional teams including DevOps, UI developers, QA, and Product. Troubleshoot production issues and perform root cause analysis. Continuously improve cloud reliability, scalability, and cost optimization. Requirements Strong programming experience in Python (Java acceptable). Hands-on experience with AWS cloud services. Experience building and supporting microservices architecture. Experience with Node.js for backend/API development. Exposure to Angular frontend framework. Strong understanding of REST APIs and distributed systems. Experience with CI/CD pipelines and DevOps practices. Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
04/24/2026
Full time
Job DescriptionJob Description Tiger Analytics is looking for experienced Cloud Engineer to join our fast-growing advanced analytics consulting firm. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are looking for a skilled Cloud Engineer with strong AWS expertise to design, build, and support cloud-native applications and microservices. The ideal candidate will have hands-on experience developing primarily in Python (Java acceptable), building and supporting microservices in AWS, and collaborating across full-stack environments including Angular and Node.js applications Key Responsibilities Key Responsibilities Cloud Architecture & Engineering Design, develop, and maintain scalable microservices in AWS (majority C1 microservices environment). Build and deploy cloud-native applications using Python (Java acceptable). Implement secure, highly available, and fault-tolerant solutions in AWS. Support containerized deployments and CI/CD pipelines. Application Development Develop backend services using Python or Java. Work with Node.js for API development and service integrations. Collaborate with frontend teams working in Angular to ensure seamless integration. Build and manage RESTful APIs. Microservices & DevOps Develop and maintain microservices architecture. Participate in code reviews and enforce best practices. Implement logging, monitoring, and performance optimization strategies. Automate infrastructure and deployments using DevOps tools. Collaboration & Support Partner with cross-functional teams including DevOps, UI developers, QA, and Product. Troubleshoot production issues and perform root cause analysis. Continuously improve cloud reliability, scalability, and cost optimization. Requirements Strong programming experience in Python (Java acceptable). Hands-on experience with AWS cloud services. Experience building and supporting microservices architecture. Experience with Node.js for backend/API development. Exposure to Angular frontend framework. Strong understanding of REST APIs and distributed systems. Experience with CI/CD pipelines and DevOps practices. Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
Job DescriptionJob Description Tiger Analytics is looking for experienced Machine Learning Engineer with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. Requirements We are looking for an experienced AI/ML Lead with deep expertise in designing and deploying high-performance APIs and microservices on AWS Fargate (ECS). The ideal candidate will have hands-on experience in generative AI integration, LLM API development, and AWS Bedrock services, contributing to building scalable GenAI and Agentic AI applications. Key Responsibilities: Design, build, and optimize high-performance APIs and microservices using Python (Fast API) deployed on AWS Fargate (ECS). Integrate LLM and Generative AI APIs using providers such as AWS Bedrock, OpenAI, and others. Collaborate with ML and DevOps teams to design CI/CD and MLOps pipelines within the AWS ecosystem. Contribute to architectural decisions around scalability, latency management, and backend efficiency for AI-powered systems. (Preferred) Leverage familiarity with Bedrock Agent Core services to integrate intelligent agent capabilities. Develop and maintain JSON RESTful APIs, adhering to OpenAI API conventions and best practices. Required Skills & Experience: 5+ years of hands-on software development experience with Python. Proven expertise in FastAPI and microservice architecture. Strong understanding of cloud-native applications, container orchestration (ECS, Docker), and AWS tools. Proficiency in LLM API integration and working with Generative AI frameworks. Experience implementing CI/CD, IaC, and ML pipelines across AWS environments. Familiarity with Bedrock AgentCore or other agentic systems (nice to have). Why Join Us: You'll be part of an innovative team building the next generation of AI-driven applications, where scalability, performance, and intelligent automation converge. This is an opportunity to push boundaries in Agentic AI infrastructure development in a supportive, fast-moving environment. Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
04/24/2026
Full time
Job DescriptionJob Description Tiger Analytics is looking for experienced Machine Learning Engineer with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. Requirements We are looking for an experienced AI/ML Lead with deep expertise in designing and deploying high-performance APIs and microservices on AWS Fargate (ECS). The ideal candidate will have hands-on experience in generative AI integration, LLM API development, and AWS Bedrock services, contributing to building scalable GenAI and Agentic AI applications. Key Responsibilities: Design, build, and optimize high-performance APIs and microservices using Python (Fast API) deployed on AWS Fargate (ECS). Integrate LLM and Generative AI APIs using providers such as AWS Bedrock, OpenAI, and others. Collaborate with ML and DevOps teams to design CI/CD and MLOps pipelines within the AWS ecosystem. Contribute to architectural decisions around scalability, latency management, and backend efficiency for AI-powered systems. (Preferred) Leverage familiarity with Bedrock Agent Core services to integrate intelligent agent capabilities. Develop and maintain JSON RESTful APIs, adhering to OpenAI API conventions and best practices. Required Skills & Experience: 5+ years of hands-on software development experience with Python. Proven expertise in FastAPI and microservice architecture. Strong understanding of cloud-native applications, container orchestration (ECS, Docker), and AWS tools. Proficiency in LLM API integration and working with Generative AI frameworks. Experience implementing CI/CD, IaC, and ML pipelines across AWS environments. Familiarity with Bedrock AgentCore or other agentic systems (nice to have). Why Join Us: You'll be part of an innovative team building the next generation of AI-driven applications, where scalability, performance, and intelligent automation converge. This is an opportunity to push boundaries in Agentic AI infrastructure development in a supportive, fast-moving environment. Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.