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.

Tiger Analytics is looking for a highly experienced Senior Data & Analytics Solution Architect to lead enterprise-scale modernization and digital transformation initiatives. The ideal candidate will have deep expertise in AWS and Databricks, extensive experience designing enterprise data platforms, and the ability to engage with CXO-level stakeholders to define future-state architectures. This role requires strong consulting, advisory, and technical leadership skills to drive large-scale Data & AI transformation programs.

Key Responsibilities

Robusta Technology Group (RTG) is a key driver of digital transformation by providing a holistic tech ecosystem. RTG works with its local and international partners to help build digital customer experiences, establish engineering hubs and build ventures across multiple industries and domains. In this pursuit, RTG serves as a catalyst for impact and growth through events, spaces and content focused on creating impact and growth across the different interactions.

Octopus is proud to be part of the Robusta Technology Group (RTG), a leading tech consultancy group. With a decade of experience and a successful track record of delivering over 300 projects across Europe, the Middle East, and North America, RTG has established itself as a preferred employer in the Egyptian market. Octopus and Robusta are building a bridge between Europe and Africa, creating tailored hub solutions to connect companies with top talent across the globe.

Job Overview

We are seeking an experienced Senior Salesforce Agentforce to lead the design and delivery of enterprise-grade AI agent solutions using Salesforce Agentforce. This role requires deep expertise in Agentforce architecture, Salesforce Data Cloud (Data 360), Retrieval-Augmented Generation (RAG), and the Salesforce platform.

Location: Remote - Based in the United States

Remote  | Full-time

Compensation: $220K - $300K

Job Description

We are hiring on behalf of our client, an elite team of engineers and cryptographers building the infrastructure behind the next generation of financial systems who are seeking a Senior Infrastructure Engineer. This position is responsible for designing, operating, and scaling the core systems that power a highly secure, high-performance platform.

The successful candidate will build and maintain the infrastructure supporting wallet services, transaction processing, and blockchain integrations. Operating at the intersection of distributed systems, cybersecurity, and cloud infrastructure, this individual will ensure the platform remains exceptionally reliable, secure, and performant. This role extends beyond routine infrastructure operations; it requires a strategic mindset to design resilient architectures, automate complex operations, and continuously optimize deployment, monitoring, and security protocols. The engineer will collaborate closely with cross-functional engineering, product, and security teams to deliver an infrastructure capable of handling intensive, real-world financial workloads.

Key Responsibilities

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 a MDM Lead who will be responsible for designing, implementing, and governing enterprise Master Data Management solutions supporting Commercial operations in Life Sciences industry. This role requires deep hands-on expertise in MDM platforms (primarily Informatica), strong understanding of Pharma Commercial data domains, and the ability to translate business strategy into scalable data architecture and operating models..

RESPONSIBILITIES:

The Platform team is the foundation of GoMining’s ecosystem. It owns the services that every product depends on — custody, KYC, compliance, core application components, and platform reliability.

As Head of Platform, you will own this domain end-to-end. You will define the platform strategy, lead a cross-functional engineering organization, establish engineering standards, and ensure the platform remains secure, scalable, and highly available.

This is a hands-on leadership role requiring a combination of technical expertise, product ownership, and operational excellence.

Responsibilities

Platform Ownership

• Own the Platform domain as an internal product serving multiple product teams.
• Define the platform strategy, roadmap, priorities, and success metrics.
• Drive platform scalability, reliability, and engineering excellence.

Custody & Financial Infrastructure

• Own custody infrastructure, including Fireblocks, Uphold, and similar providers.
• Ensure secure asset storage, withdrawals, deposits, and fund movements.
• Improve operational reliability across wallet infrastructure.

Compliance Platform

About us:

Soar is a global fintech startup that specializes in financing and investment. Currently headquartered in Saudi Arabia, Soar is growing throughout the region with a mission to help people achieve their financial goals with innovative financial and property investment solutions and tools through its multi-purpose platform, designed to offer a simple and seamless user experience.

Role Summary:

The Senior Product Manager owns the vision, strategy, and delivery of enterprise systems, core platforms and integrations that enable secure, compliant, and scalable fintech products. This role has end-to-end ownership of shared capabilities and operational platforms—including 3rd-party integrations, CRM, customer support systems, admin portals, and data platforms—used across multiple product and business squads.

This is a senior, high-impact role requiring strong judgment in regulated environments, the ability to lead through influence, and a deep understanding of how platform decisions affect customer experience, operational efficiency, and regulatory posture.

Key Responsibilities:

Platform & Internal Systems Strategy:

About the Role

We are looking for a highly skilled Senior Software Engineer (Full Stack) to join our Engineering team. In this role, you will be responsible for designing, developing, and maintaining scalable backend systems, managing databases, implementing DevOps practices, ensuring security compliance, and collaborating closely with frontend teams.

You will play a key role in shaping system architecture, optimizing performance, automating deployments, and mentoring junior engineers while ensuring the delivery of secure, high-quality software solutions.

Location: New York, United States (Hybrid)

Hybrid | Full-time

Compensation: $180K - $320K

Our client is the largest decentralized perpetual exchange on Arbitrum, having processed over $20 billion in cumulative trading volume since its launch in late 2024. The platform enables leveraged trading of real-world assets, including commodities, forex, indices, and stocks—alongside cryptocurrency, bringing global markets on-chain with full self-custody.

A mid- to senior-level Backend Engineer is required to join an ambitious team focused on scaling a state-of-the-art infrastructure layer. This infrastructure is designed to allow engineering teams to self-serve 90% of their needs, enabling this role to focus entirely on high-level, high-impact projects. The successful candidate will collaborate closely with quants, infrastructure specialists, and data engineers to build a centralized pricing plane and an extremely dynamic pricing system that determines market competitiveness in real time.

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.

This role sits at the intersection of artificial intelligence and robust enterprise integration. Define the technical blueprint for scaling AI adoption across the organization, focusing specifically on LLMs, RAG, and predictive analytics, while building the high-performance API and messaging backbones required to fuel these real-time systems.

Requirements

Job Description

Tiger Analytics is looking for experienced Data Scientists to join our 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 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 also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are seeking a highly skilled and experienced Lead Data Scientist with a strong background in Recommendation Systems and Machine Learning Engineering (MLE). The ideal candidate will have a proven track record in designing, implementing, and deploying large-scale recommendation solutions, while also leading projects and mentoring teams. This role requires technical depth, hands-on coding, and the ability to engage directly with clients and stakeholders .

Key Responsibilities