Staff Software Engineer - Backend & AI Infra

Remote | Full-time

Location: Based in US to GMT timezones

Compensation: Competitive Compensation Package

Our client is a high-growth technology firm. They are seeking a Staff Software Engineer to spearhead two critical domains: the core agent runtime and backend infrastructure powering a high-frequency trading fleet, and the comprehensive migration of model hosting and agent deployment to in-house, proprietary infrastructure.

This is a foundational, high-impact building role. The successful candidate will design and implement the backend services, runtime engines, and deployment systems that enable a fleet of autonomous agents to operate with superior speed, reliability, and intelligence. By moving away from third-party LLM providers and hosted platforms, this role will establish the sovereign infrastructure necessary for the next generation of autonomous financial software.

Key Responsibilities

Agent Runtime & Backend Development

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 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 analytics global consulting team in the world.

We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization.

Requirements

Key Responsibilities

Tiger Analytics is looking for experienced Senior Data Analyst 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 Senior Data Analyst with strong experience in Python, SQL, ETL processes, and AWS cloud technologies. The ideal candidate will have hands-on experience working with Ab Initio for ETL, building data pipelines, and performing data analysis to support business insights and decision-making.

This role requires someone who is comfortable working with large datasets, transforming data, and collaborating with cross-functional teams in a fast-paced environment.

Key Responsibilities

About Signal Ocean: Signal Ocean is the technology arm of the Signal Group. Our primary product, The Signal Ocean Platform, helps shipping and commodities professionals navigate their complex decision making. Driven by advanced machine learning and artificial intelligence, our technology suite provides tailored, exclusive insights that support our clients in achieving performance and efficiency. By securely handling and combining private and public shipping data flows, and applying advanced analytics, insights are delivered over web and mobile applications, as well as through a rich set of APIs and SDKs. Our backend architecture is abstracted to modularly offer deep analytics capabilities that are leveraged in the solutions that we offer or can be directly embedded in our client’s system topologies.

Senior Backend Engineer

Location: US or Europe (Must have solid overlap with EST)

Remote | Full-time

Compensation: $150K - $200K

Our client is an industry-leading DeFi organization building the next generation of trading infrastructure. Operating as the largest builder-code product on a major decentralized exchange protocol, the company has processed over $65B in cumulative trading volume and generated eight-figure revenue over the past year. With a user base exceeding 400,000 registered traders, the platform is at the forefront of democratizing access to global financial markets across crypto, equities, and commodities.

The organization operates as a lean, highly technical team of individual contributors who prioritize autonomy, ownership, and rapid execution. This environment is designed for a Senior Backend Engineer who thrives in 0-to-1 environments and is capable of building ambitious systems from the ground up. This role is central to scaling trading interfaces that manage billions of dollars in daily volume while maintaining high-speed, intuitive user experiences.

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 Microsoft Fabric Solutions Architect to design, oversee, and deliver robust, scalable data solutions. The ideal candidate will drive the overall architectural strategy and lead the technical execution of our data platform, with a strong focus on the integration, optimization, and best practices implementation of Microsoft Fabric.

Senior AI Data Engineer (Agentic Systems)

Location: USA / Europe / Israel - with a 5hour overlap with EST hours

Compensation: $130K - $150K

We are hiring on behalf of our client who build the technology that powers safer, more accessible financial markets. Our risk management systems, oracles, and AI models currently secure over $200 billion in assets across the world's largest decentralized protocols, having processed more than $5 trillion in transaction volume. They recently launched a pioneering Financial Intelligence Platform that transforms complex market data into actionable insights, bringing institutional-grade intelligence to every participant in the ecosystem.

The Role: They are looking for a Senior AI Data Engineer to design and build the agentic systems powering their intelligence platform. You will work at the intersection of LLMs, financial data, and production infrastructure, creating intelligent agents that reason, plan, and execute across complex financial workflows.

Responsibilities:

Azumo is currently looking for a senior Platform Data Engineer to support and stabilize a modern cloud data platform during a period of growth and integration. This position is FULLY REMOTE based in Latin America-

This role sits at the intersection of data engineering and data operations (DataOps). Your primary responsibility will be to ensure that the frameworks used to build, deploy, and operate data pipelines are scalable, reliable, and maintainable, while reducing operational burden on the internal data team. This is a platform-centric role focused on orchestration and reliability rather than a pure BI or SQL-only data engineering position.

Requirements

The Platform Data Engineer (DataOps) will be based remotely.

Basic Qualifications:

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 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 analytics global consulting team in the world.

We are seeking an experienced Data Engineer with expertise in Dataiku to join our data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization.

Requirements

Data Scientist

Location: New York

On-site | Full-time

Compensation: Competitive

Our client is a high-performance technology development company responsible for the entire technical stack behind the world’s largest and most active digital asset launchpads. Operating at the absolute edge of crypto scale, the systems managed by this organization are defined by ultra-low latency, high throughput, and constant high-concurrency load. This is a mission-critical environment where technical precision is paramount and the impact of every deployment is immediate.

The organization is seeking an experienced, versatile Data Scientist who thrives in an intense, fast-paced setting. This role provides the autonomy to identify high-impact opportunities, design sophisticated analytical solutions, and measure their direct effect on a product used by massive global audiences. Joining this team means entering a high-density talent environment that values first-principles thinking, extreme ownership, and the ability to operate independently within a high-stakes ecosystem.

Key Responsibilities