Location: Remote (United States)

Remote | Full-time

Compensation: $130K - $200K

Our client is a high-growth, early-stage developer infrastructure startup that has recently secured $5M in seed funding from top-tier venture capital firms and prominent angel investors from OpenAI, Google, and Databricks. The company provides a modern approach to infrastructure-as-code purpose-built for the AI era. Their platform enables startups and enterprise organizations to deploy complex software and AI agents directly into secure, private customer cloud environments, safely unlocking access to sensitive data that cannot leave strict compliance boundaries.

As the Founding Developer Relations (DevRel) Engineer, you will be the inaugural voice of the platform, taking a product with robust engineering roots and building out its entire developer content ecosystem from scratch. This is a high-ownership role within a lean, high-impact team where you will design tutorials, reference applications, videos, and guides that help developers seamlessly ship AI applications into cloud environments.

Key Responsibilities

Location: New York, United States (Hybrid) 

Hybrid | Full-time

Compensation: $180K - $320K

We are hiring on behalf of our client, a leading firm operating at the intersection of advanced financial markets and digital asset infrastructure who is seeking a skilled Infrastructure/Backend Engineer to join its growing technical team in New York City. Operating in a hybrid capacity with a heavy emphasis on collaborative, in-office presence, the employer provides a state-of-the-art trading and data ecosystem that processes tens of billions in cumulative volume.

In this pivotal role, the successful candidate will spearhead the modernization and scalability of a high-performance infrastructure layer. This individual will focus on migrating systems to a robust, ultra-low-latency infrastructure stack built entirely on Infrastructure as Code (IaC) principles. The primary objective is to build an advanced, reliable, and secure self-service infrastructure platform that empowers developers to manage deployments, monitoring, and provisioning independently. This position requires an engineering mindset rooted in institutional financial systems, elite operational excellence, and high-velocity problem-solving.

Key Responsibilities

Location: New York, United States • London, United Kingdom (Office)

On-Site | Full-time

Compensation: Competitive Compensation

Our client is a high-growth software development organization and a key contributor to one of the largest and fastest-growing decentralized crypto social networks globally. The platform has achieved massive scale, generating significant revenue and global attention since its inception.

To support this rapid expansion and ensure the continuous uptime of its high-stakes, high-throughput environment, our client is seeking a battle-tested Site Reliability Engineering (SRE) Expert. This individual will be handed ambiguous, critical infrastructure challenges and will be trusted to navigate them end-to-end—scoping solutions, making sound architectural trade-offs, and executing with precision.

Key Responsibilities

GoMining is looking for a proactive and reliable System Administrator to manage access rights, IT infrastructure, and employee support across the company.

This role is ideal for someone passionate about security, automation, and operational efficiency — ensuring employees have the right tools and access while maintaining a secure and well-managed IT environment.

The System Administrator will play a key role in access management, hardware and software asset administration, and day-to-day IT support across the organization.

Responsibilities

Access Management & Account Administration

• Process access requests, approvals, and role assignments across corporate systems and services.
• Maintain least-privilege access policies and follow security best practices.
• Manage employee onboarding and offboarding — account creation, access provisioning, device setup, and equipment return.
• Conduct regular access audits and review logs for anomalies or policy violations.
• Maintain an up-to-date access registry across all systems.

Hardware & Infrastructure

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-

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

Senior Software Engineer (.Net)

Location: Ukraine, Europe

Remote | Full-time

Compensation: Competitive

Our client is seeking an experienced Senior .NET Engineer to join a high-performing engineering team dedicated to developing a sophisticated enterprise asset management solution. This platform is engineered to boost operational efficiency, extend asset lifespans, and significantly reduce maintenance costs for global organizations. By leveraging advanced features, the solution transforms traditional asset management into a strategic competitive advantage. The successful candidate will play a critical role in evolving this enterprise-grade system, ensuring it remains performant and scalable as it serves companies worldwide.

Key Responsibilities