Location: Remote - UK working hours

Remote | Full-time

Compensation: £90K - £110K

We are hiring on behalf of our client, a high-performance financial technology organization specializing in advanced integration service products. The client develops and delivers an innovative, hosted integration platform that enables global financial institutions to maintain a flexible operational infrastructure without requiring internal engineering resources to address connectivity challenges across diverse trading venues.

The successful candidate will join a multi-disciplinary Site Reliability Engineering (SRE) team that actively champions a comprehensive automation culture. The mandate of this department is broad and impactful, covering everything from desktop and laptop infrastructure support to sophisticated data center server provisioning and global vendor network connectivity. While each team member brings distinct areas of technical specialization, the department operates under a shared-responsibility model for the entire production environment. The client is seeking a collaborative, growth-oriented professional who can meaningfully contribute to operational excellence while continuously developing their technical capabilities.

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

Location: London, United Kingdom (Hybrid) 

Hybrid | Full-time

Compensation: £50K - £60K

We are hiring on behalf of our client who develops high-performance financial technology infrastructure, offering market-leading integration service products that deliver flexible, hosted connectivity solutions to institutional financial customers. By resolving complex connectivity challenges across multiple trading venues, our client eliminates the need for internal software engineering and operations resources on the customer side to build bespoke trading infrastructure.

The successful candidate will take operational ownership of provisioning laptops, facilitating employee onboarding, configuring high-performance developer stations, and providing advanced desktop support across multi-platform environments including macOS, Linux, and Windows. This position is highly visible internally and serves as the technical foundation for long-term growth into production engineering.

Key Responsibilities

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 working on business problems that can be solved using structured and unstructured data on a large scale, Tiger Analytics would like to talk to you.

We are seeking experienced and hands-on software architects with a builders mindset, to lead the modernization, design and build of applications ranging from consumer facing digital applications with real time, high volume, low latency and embedded intelligence, to intelligent operations applications supporting critical decision making and operations used by a range of personas for AI first re-imagined processes.

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.

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.

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.

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

DevOps Engineer - Stablecoin Platform Infrastructure

Location: Remote - US based (Would consider South America/Canada if can work EST timezones)

Compensation: $170K - $200K

We are a stablecoin platform for builders, providing a superior digital-dollar building block that developers can extend to create customizable, application-specific stablecoins in minutes. Our platform empowers businesses to monetize their digital dollar use cases and maintain control over their money tech stack, without being burdened by operational heavy-lifting. We are seeking an experienced DevOps Engineer to play a key role in ensuring the security, reliability, and scalability of our systems through automation, monitoring, and encryption-first architectures.

You will be responsible for building, scaling, and securing the cloud infrastructure that underpins our stablecoin platform. This position requires hands-on expertise with cloud-native security best practices, a focus on performance optimization, and strong proficiency in automating deployments across a distributed system environment.

Key Responsibilities:

Position Overview:

The Head of Engineering focuses on backend excellence, ensuring the implementation of high-end engineered solutions and serves as the principal technical authority on all backend engineering matters.

Requirements

Key Responsibilities

·      Lead the backend engineering team and establish technical direction

·      Define and implement backend architecture and best practices

·      Drive adoption of modern technologies (Node.js, MongoDB, Redis, AI)

·      Establish scalability, performance, and reliability standards

·      Review and approve critical backend design decisions

·      Mentor and develop backend engineering talent

·      Collaborate with other technical leaders to ensure end-to-end integration

·      Research and evaluate new backend technologies and approaches

Required Skills & Experience

·      8+ years of backend development experience

·      4+ years in a backend leadership role

·      Deep expertise in Node.js, MongoDB, Redis, and other backend technologies

·      Experience with applied AI/ML in production systems

·      Strong understanding of scalability, performance, and reliability engineering

·      Track record of building high-performance backend systems

·      Bachelor's degree in Computer Science or related field; Master's preferred