Employment: Full-time via MLabs
Engagement: Contracted to a UAE-based enterprise blockchain / fintech client
Location: Remote (Eastern Europe / MENA / India preferred)

MLabs is hiring a Senior Protocol Engineer to contribute to the core infrastructure of a custom Layer-1 blockchain ecosystem supporting enterprise-grade financial systems.

You will work at the protocol layer, contributing to consensus mechanisms, node architecture, networking, and system-level performance. This role requires deep distributed systems expertise and hands-on experience working on blockchain infrastructure rather than application-layer smart contracts.

The ideal candidate is comfortable operating in performance-critical, security-sensitive environments and contributing to protocol evolution discussions.

Responsibilities

• Design and implement core blockchain protocol components
• Contribute to consensus performance, scalability, and reliability improvements
• Optimize node performance and system-level efficiency
• Work on P2P networking and state synchronization mechanisms
• Identify and mitigate protocol-level vulnerabilities
• Collaborate with smart contract, infrastructure, and backend teams
• Participate in architecture reviews and protocol evolution discussions

Requirements

Senior AI Data Engineer (Agentic Systems)

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

Compensation: $130K - $150K

We 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. We 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: We are looking for a Senior AI Data Engineer to design and build the agentic systems powering our 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:

Staff Mobile Engineer

Remote | Full-Time | Engineering

Compensation: $180K - $250K

We are hiring on behalf of our client, the largest ecosystem builder on a leading decentralized perpetual exchange, currently building the next generation of DeFi trading. Their mission is to democratize access to global financial markets—including crypto, equities, and commodities—by leveraging decentralized technology. To date, their platform has processed $65B+ in cumulative trading volume, generated eight figures in revenue, and supports over 400,000 registered traders.

They are a small, elite team of individual contributors who value autonomy, ownership, and rapid execution. They are looking for a Staff Mobile Engineer who views React Native as a craft. You will sit at the intersection of engineering, design, and product, turning raw speed into a premium mobile experience that feels intentional and indistinguishable from a native app.

Key Responsibilities:

About Us

At Zyte, we eat data for breakfast and you can eat your breakfast anywhere and work for Zyte. Founded in 2010, we are a globally distributed team of over 240 Zytans working from over 28 countries who are on a mission to enable our customers to extract the data they need to continue to innovate and grow their businesses. We believe that all businesses deserve a smooth pathway to data

For more than a decade, Zyte has led the way in building powerful, easy-to-use tools to collect, format, and deliver web data, quickly, dependably, and at scale. And today, the data we extract helps thousands of organisations make smarter business decisions, secure competitive advantage, and drive sustainable growth. Today, over 3,000 companies and 1 million developers rely on our tools and services to get the data they need from the web.

About the Job:

Are you interested in building web crawlers harnessing the Zyte platform, which powers crawls of over 3 billion pages a month?

Do you like working in a company with a strong open source foundation?

Zyte is looking for Software Engineers to join our Delivery team to work on web crawler development with Scrapy, our flagship, open source project.

Job Responsibilities:

Senior Validator Engineer (Solana)

Location: Remote - Europe only

Compensation: $180K - $300K

We are reengineering blockchain infrastructure from first principles to make global digital markets as precise and dependable as physical systems. Built on Solana, our platform delivers deterministic execution, guaranteed inclusion, and low-latency performance—solving the foundational failures that cause transactions to miss and systems to collapse under pressure.

By placing high-performance compute close to where transactions happen and coordinating execution through our advanced scheduling engine, we empower developers to build scalable applications and give institutions the reliability they demand. We believe financial infrastructure should behave like physics: fast, reliable, and predictable—every time, without exception.

As a Senior Validator Engineer, you will spearhead our engineering efforts surrounding the Solana Validator (both Agave and Firedancer), driving the innovation and implementation of next-generation high-performance distributed systems. You will join a highly proficient team of core engineers who have all contributed to foundational network components.

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

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Engineering, Data Science, Machine Learning 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.

We are seeking an experienced Lead Data Engineer 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 using Dataiku. 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

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. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure using Dataiku. 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

What You’ll Do:

Founding AI Engineer

Location: San Francisco, CA (In-person) Employment Type: Full-time

Compensation: $130K – $170K base salary + 0.5% – 1.5% equity.

Automating the Future of Human Connection We are building the first AI-powered platform designed to handle the complex logistics of corporate event planning—from intimate executive retreats to global conferences. Our software automates everything from venue sourcing to vendor negotiations, helping teams at companies like Google and Amazon gather in real life. We are on a mission to make it easier for teams to create meaningful moments together, and we need a founding engineer to lead the charge on our core AI systems.

The Role As a Founding AI Engineer, you will build and scale the systems that power our automated event planning workflow. This isn’t about simple wrappers; you will be developing autonomous agents that handle emails, phone calls, web scraping, and deep research. You will sit at the center of our product, turning complex, manual workflows into seamless, AI-driven experiences.

What You’ll Do: