GoMining is looking for an experienced Team Lead DevOps / SRE - a hands-on technical leader who combines deep infrastructure expertise with team leadership. This role is for a playing coach: someone who designs and builds systems personally, while also guiding engineers, setting technical direction, and strengthening DevOps/SRE practices across the company.

You will be responsible not only for reliability, scalability, and security of our crypto & fintech products, but also for developing the team, improving processes, and participating in hiring and technical decision-making

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 an experienced GenAI Architect to design and lead the development of large-scale, cloud-native Generative AI platforms and solutions. This role requires deep architectural expertise in Azure, secure API-driven systems, and event-driven architectures, combined with the ability to translate business needs into scalable, production-ready GenAI systems.

The ideal candidate will bring strong hands-on and design experience across cloud architecture, security, and distributed systems, with the vision to architect GenAI solutions that are reliable, extensible, and enterprise-grade.

Requirements

Azure Microsoft Full Stack Manager

Azumo, a leading software development firm, is seeking a highly motivated **Azure Microsoft Manager** to join our technical leadership team. We specialize in delivering cutting-edge technology solutions, helping organizations build resilient and modern infrastructures powered by the Microsoft ecosystem.

As part of our team, you will collaborate with engineers, developers, and security experts across SaaS, cloud, and big data environments. You will oversee the design and maintenance of solutions that ensure the availability and scalability of our services, translating business requirements into a robust, production-ready infrastructure.

At Azumo, you will thrive if you enjoy the full infrastructure lifecycle—from ideation and architectural design to deployment, security hardening, and the optimization of cloud-based solutions.

Backend Developer (Hyperliquid Focus)

Location: Remote (EMEA Region Only) Type: Full-Time

Compensation: $130K - $165K

We are a mission-driven team simplifying multi-chain DeFi for financial institutions, fintechs, and service providers. By offering a unified API that accesses on-chain liquidity across major blockchains, we provide the best pricing for same-chain and cross-chain swaps. Beyond the technology, we are deeply committed to user experience, aiming to make complex decentralized technologies accessible to everyone.

We are looking for a Backend Developer to join our team with a dedicated focus on integrating Hyperliquid functionalities into our API platform. This is a pure backend role—no frontend or design work is required—allowing you to focus entirely on building and shaping core infrastructure.

The ideal candidate is passionate about the Hyperliquid ecosystem and eager to help distribute programmatic trading features (such as TWAP and perps) to the broader DeFi ecosystem through high-performance backend systems.

Key Responsibilities:

We are looking for a Merchandise & Physical Products Manager who will take ownership of branded products, logistics, and partnerships — and help scale this direction into a profitable business line.

Responsibilities

• Manage end-to-end merchandise operations: production, inventory, logistics, delivery.
• Launch new merchandise formats: branded items, VIP gifts, event products, limited editions.
• Work with suppliers, warehouses, and logistics partners (including international).
• Collaborate with product, UX, and marketing teams to improve user experience.
• Own pricing, margins, and overall profitability of the merchandise direction.

Requirements

• Experience in merchandise, e-commerce, or physical product operations.
• Strong organizational and operational skills.
• Experience working with suppliers and logistics partners.
• Business mindset with focus on margins and scalability.
• Ability to take ownership and build processes from scratch.

Benefits

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.

As a Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Key Responsibilities

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

Be a part of sharing special places and shaping lasting memories with Australia’s leading experiential tourism business.

About Journey Beyond

Australia’s leading experiential tourism group, Journey Beyond, is privileged to operate 20 brands spanning the country and New Zealand, connecting guests to the land, and to each other.

Headquartered in Adelaide, Journey Beyond formed in 2016 and now comprises tourism brands including: iconic trains The Ghan, Indian Pacific, Great Southern, The Overland; premium small-group outback operator Outback Spirit; eco-luxury lodge Sal Salis Ningaloo Reef; aquatic adventures Cruise Whitsundays, Rottnest Express, Sailaway Port Douglas, Horizontal Falls Seaplane Adventures, Darwin Harbour Cruises and Journey Beyond Cruise Sydney; our tallest members, Melbourne Skydeck and Eureka 89; the historic Vintage Rail Journeys; The Telegraph Station in Alice Springs; Monarto Safari Resort; Exmouth Dive & Whalesharks Ningaloo, New Zealand coach tour specialist Grand Pacific Tours, and Voyages Indigenous Tourism Australia.

About You

Tiger Analytics is looking for experienced Senior 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.

As a Data Scientist, you will apply strong expertise through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

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: