Description

Tiger Analytics is looking for experienced Forward Deployment Engineer (Generative AI) 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.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

Role Overview

The Forward Deployment Engineer (FDE) drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across multi-cloud environments (AWS, Azure, GCP). You will bridge the gap between AI research and production-grade cloud infrastructure.

You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Requirements

Tiger Analytics is looking for experienced Forward Deployed Engineer (Generative AI) 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.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

Role Overview

The Forward Deployed Engineer (FDE) drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across multi-cloud environments (AWS, Azure, GCP). You will bridge the gap between AI research and production-grade cloud infrastructure.

You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Requirements

Key Responsibilities-

We are looking for an experienced and motivated Senior Site Reliability Engineer (SRE) to join our team. In this role, you will be responsible for the reliability, scalability, performance, and stability of our systems and applications. You will work closely with cross-functional teams to automate processes, improve infrastructure, and support continuous product delivery.

Requirements

- Minimum of 3 years of experience in a similar SRE role;

- Strong proficiency in monitoring, logging, alerting, cloud, platform, OS, CI/CD, repostorage, and management tools;

- Solid understanding of DevOps principles and practices;

- Bachelor's degree in Computer Science, Engineering, or a related field;

- Excellent problem-solving and troubleshooting skills;

- Strong communication and collaboration skills.

Responsibilities:

- Implement and maintain monitoring solutions using Prometheus, Victoria-Metrics, and Grafana to identify and address performance issues proactively;

- Manage logging infrastructure using Vector, ElasticSearch, and Kibana, ensuring efficient log collection, analysis, and visualization;

Role Overview

We are seeking a high-caliber Site Reliability Engineer (SRE) to join our Forward Engineering team. You will be the guardian of our production ecosystems, ensuring that our complex, data-driven AI platforms remain resilient, scalable, and highly performant. This role is a hybrid of software engineering and systems architecture, with a specialized focus on MLOps—bridging the gap between model development and production-grade reliability.

Robusta assists organizations in transitioning to a digital-first approach, crafting unforgettable experiences for their customers. We provide strategy, design, product, and technology services to prominent businesses and brands, utilizing our go-to-market expertise to facilitate seamless customer experiences and enhance conversion rates.

About the Role

We are looking for a skilled DevOps Engineer with strong hands-on experience in Google Cloud Platform (GCP) to join our growing engineering team. In this role, you will be responsible for building, scaling, and maintaining reliable cloud infrastructure while driving automation and improving deployment efficiency across the platform.

You will collaborate closely with software engineers and technical teams to ensure system reliability, security, scalability, and operational excellence.

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

If you are passionate about solving business problems that can be solved using systems thinking, AI engineering and data driven Insights, Tiger Analytics would like to talk to you. Now hiring for multiple roles across solution architecture, consulting and forward deployed engineering teams

Requirements

Please note this is a Hybrid role with 3-4 days a week onsite.

·       Proficiency in SQL, Python, and core Google Cloud services (BigQuery, Dataflow, and Cloud Storage) for building scalable ELT/ETL pipelines.

·       Experience with GCP Data Transfer service, Cloud Transfer Servie, Pub/Sub, Cloud Data Flow, Cloud Data Proc, Cloud Data Prep, Cloud Composer etc

·       Strong in Python.

·       Key skills include designing data models, implementing real-time processing (Pub/Sub), managing security (IAM), and automating infrastructure (Terraform)

·       Experience in, Alloy DB Setup, Vertex DB setup, Microservices, Terraform, Cloud Run, Cloud Scheduler

We develop the mission-critical services that drive our company's operations, covering everything from the gaming platform to data-driven analytics. We operate as a small, highly experienced unit where architectural discussion and R&D are central to our workflow.

The Mission: We are looking for a proactive engineer to help us scale our high-load platform. Your focus will be a mix of stability, performance engineering, and new feature development. If you enjoy working with distributed systems and conducting performance-based R&D, you’ll fit right in.

Requirements

• 4+ years of commercial experience with Python;
• Strong understanding of algorithms and data structures;
• Solid experience with relational databases (PostgreSQL or similar);
• Experience designing scalable backend systems;
• Good written English (for documentation and communication);
• Native Ukrainian (spoken and written);

Would be plus

• Experience with non-relational databases (Cassandra, Redis/KeyDB, etc.);
• Hands-on experience with Docker and Kubernetes;
• Experience working with high-load or distributed systems.

Location: Remote - NYC preferred. Also open to US remote.

Remote | Full-time

Compensation: $200K - $275K

We are hiring on behalf of our client, a leading innovator in the blockchain space who is seeking a Senior Golang Engineer/ Staff Backend Engineer (with deep Go expertise) to join their core backend team. Our client has developed a real-time parimutuel prediction market platform built on Solana, designed to integrate ultra-fast, 60-second to 30-minute prediction markets directly into livestream environments and web platforms.

Following a successful $1M pre-seed round in April 2026 led by prominent venture participants in the Solana ecosystem, the organization is scaling its infrastructure to handle high-concurrency, traffic patterns. As one of the first backend engineering hires, the successful candidate will own critical systems responsible for market creation, settlement, and automated payouts during high-stakes global livestream events.

Key Responsibilities:

WHO WE ARE

We are Harbor Lab, an innovative B2B software startup that aims to bring new value to the Shipping community. Our vision is to completely reshape how Shipping Companies and Port Agents operate, provide transparency, and ensure efficiency for all involved parties. We add value to both sides by helping save time, cut costs and make informed decisions. 

Harbor Lab has also been recognized as one of the Best Workplaces in 2022 & 2023 by the Great Place to Work Institute. 

ABOUT THE ROLE

As a Frontend Engineer, you will be working as a member of a software developer team delivering new features, which are part of Harbor Lab’s Software-as-a-Service offering. Our cross-functional teams handle both front and back-end related tasks. Moreover, you will be writing automated tests, as well as investigating bugs and providing fixes. Collaborating with other engineers, product managers and designers will be part of your day-to-day work. You will also be participating in the team’s Sprint ceremonies. 

Our engineering team plays a pivotal role in the success of our company, and contributing to delivering high quality work on time is a key factor in achieving our goals. 

WHAT YOU WILL BE DOING

Location: Remote - +/- 3 hours from CET (EST / Europe preferred)

Remote | Full-time

Compensation: $90K - $150K

We are hiring on behalf of our client in the high-growth Web3 and DeFi sector who is seeking a Senior Backend Engineer to join its core Platform team. This organization builds and evolves the distributed backend systems that power its primary products and customer-facing solutions.

The successful candidate will design and operate complex systems, manage Web3 infrastructure, and collaborate closely with product and platform engineers to deliver reliable, scalable solutions. This role is ideal for an engineer who values strong ownership, thoughtful system design, and maintains a high bar for code quality. The client fosters an environment that prioritizes building solid systems and moving quickly without compromising standards, leveraging modern tools—including AI—to maximize efficiency.

Key Responsibilities: