Senior Infrastructure Software Engineer

Location: Hybrid in Miami, Florida

Compensation: $200,000 - $250,000 (Base Salary) + Competitive Equity

We are the world's leading AI medical information platform, backed by top-tier investors and trusted by healthcare professionals at over 10,000 care centers worldwide. Our mission-critical platform powers medical AI used by healthcare providers globally. We are seeking a Senior Infrastructure Software Engineer to architect and scale our infrastructure ecosystem in a demanding, rapid-iteration environment.

As a key member of the Core Engineering team, you will have significant autonomy to make architectural decisions and drive initiatives across service reliability, data pipelines, and security for our large-scale medical AI platform.

Responsibilities:

Location: New York, NY (100% On-site)

Compensation: $150,000 - $200,000 (Base Salary) + Competitive Equity

We are a rapidly growing, well-funded technology company operating at the intersection of AI, data, and life sciences. Our mission is to accelerate the path for patients to receive life-changing therapies by simplifying insurance, affordability, and pharmacy supply chain complexities. We are seeking a high-impact Analytics Engineer to build the data foundation that powers how we operate, measure, and grow.

As an Analytics Engineer, you'll be an owner of our data infrastructure, ensuring that clean, trustworthy, and decision-grade data is available across the company. This is a highly autonomous, cross-functional role that directly impacts company growth and client success.

If you join, you will:

Tiger Analytics is one of the fastest growing advanced analytics consulting and Engineering services firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and Al, and our engineers bring innovative engineering techniques to enable scalable data platforms and data products that are insights driven. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking to hire a Data Architecture Lead to design, develop, and govern the organization’s end-to-end data ecosystem. This role will define the vision, strategy, and roadmap for how data is collected, integrated, stored, and accessed to enable digital transformation, AI/ML, and advanced analytics initiatives.

Requirements

Software Engineer (Early Team Member)

Location: San Francisco, CA (On-site)

We are a rapidly growing, well-funded startup building an innovative AI-powered productivity tool for professional teams. We help users capture, organize, and utilize insights from their daily conversations, making every meeting more valuable. You'll be joining a small, high-impact team of experienced engineers as employee #5 and play a crucial role in shaping our product and technical foundation.

This is an end-to-end engineering role where you will take ownership of features from conception to deployment. We're looking for a highly motivated and quality-focused individual who takes pride in their craft.

What You'll Do:

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for an experienced Project Manager – Data Engineering to lead and deliver large-scale data transformation and migration initiatives across Talend, Databricks, and cloud data ecosystems. The role demands a strong blend of technical depth and project delivery leadership, working closely with onshore and offshore teams to ensure timely, high-quality delivery across complex data programs.

RESPONSIBILITIES:

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. 

As an Innovation engineer, you will play a pivotal role in driving ideation, rapid prototyping, and early-stage incubation of AI and GenAI initiatives. We are obsessed with customer centricity and strongly believe in an "outside in" human centered approach. You will help craft the innovation lifecycle—from problem discovery to proof-of-concept and transition to path 2 pilot — working closely with business partners, platform engineers, product, and researchers.

This is a hands-on, highly collaborative role that bridges the gap between imagination and implementation—leveraging platform capabilities, reference architectures, standards, and starter kits. You’ll also play a key role in shaping strategy and recommendations through experimentation and assessment, presenting insights to stakeholders with clarity and impact. Strong storytelling skills and the ability to craft compelling slide decks and pitch presentations are essential to success in this role.

Our team is searching for a skilled Middle Python Developer to strengthen our backend and help evolve our product architecture. You’ll work closely with experienced engineers, bring fresh ideas to the table, and take ownership of key components.

Your responsibilities will include:

• Writing, maintaining, and optimizing high-quality code;
• Analyzing the existing solution architecture and taking an active role in designing a new one;
• Leading a small team of two backend developers.

What we’re looking for:

• 3-4 years of experience in backend development with Python 3.x (FastAPI or Flask);
• Strong skills in designing and building RESTful APIs;
• Solid understanding of OOP principles, data structures, and algorithms;
• Hands-on experience with asynchronous programming (asyncio, aiohttp) and API integrations;
• Strong knowledge of SQL and experience with ORMs (SQLAlchemy or Django ORM);
• Practical experience with caching tools (Redis, Memcached) and database migrations;
• Good understanding of Docker, CI/CD pipelines, and version control (Git);
• Familiarity with cloud platforms (AWS, GCP, or Azure) and web servers (Nginx, Gunicorn, Uvicorn);
• Knowledge of design patterns, SOLID principles, and system design;
• Strong communication skills.

Our team is searching for a skilled Middle Python Developer to strengthen our backend and help evolve our product architecture. You’ll work closely with experienced engineers, bring fresh ideas to the table, and take ownership of key components.

Your responsibilities will include:

• Writing, maintaining, and optimizing high-quality code;
• Analyzing the existing solution architecture and taking an active role in designing a new one;
• Leading a small team of two backend developers.

What we’re looking for:

• 3-4 years of experience in backend development with Python 3.x (FastAPI or Flask);
• Strong skills in designing and building RESTful APIs;
• Solid understanding of OOP principles, data structures, and algorithms;
• Hands-on experience with asynchronous programming (asyncio, aiohttp) and API integrations;
• Strong knowledge of SQL and experience with ORMs (SQLAlchemy or Django ORM);
• Practical experience with caching tools (Redis, Memcached) and database migrations;
• Good understanding of Docker, CI/CD pipelines, and version control (Git);
• Familiarity with cloud platforms (AWS, GCP, or Azure) and web servers (Nginx, Gunicorn, Uvicorn);
• Knowledge of design patterns, SOLID principles, and system design;
• Strong communication skills.

Tiger Analytics is looking for a skilled and innovative Machine Learning Engineer with hands-on experience in Google Cloud Platform (GCP) and Vertex AI to design, build, and deploy scalable ML solutions. You will play a key role in operationalizing machine learning models and driving the end-to-end ML lifecycle, from data ingestion to model serving and monitoring.

Key Responsibilities:

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.

We are seeking a highly experienced and technically proficient MLOps Architect to lead the design, development, and implementation of our next-generation machine learning platforms. This role requires a unique combination of deep technical expertise in MLOps, a strong background with cloud technologies, and the ability to effectively manage complex client relationships. The ideal candidate will be a strategic thinker who can translate business needs into scalable and robust MLOps solutions.

Responsibilities: