GoMining is one of the largest Bitcoin mining ecosystems in the world, serving

millions of users globally. We run our own industrial-scale mining infrastructure

across the United States — a fleet of more than 80,000 machines — and we keep

expanding.

We're hiring a PSU Repair Engineer to diagnose and repair the power supplies that keep that fleet running.

Relocation support available! We welcome candidates from across the U.S. and provide a relocation package for those moving closer to one of our data center locations.

Responsibilities

• Diagnose and repair power supply units used in Bitmain and MicroBT mining equipment boards
• Perform component-level diagnostics on power supply circuits and electronic
• Troubleshoot IC failures, voltage irregularities, short circuits and PCB-level faults
• Perform SMD and BGA soldering, rework and component replacement
• Repair and restore power circuits, control boards and other electronic assemblies
• Configure, test and commission repaired equipment
• Keep accurate repair records, inventory information and technical documentation
• Work with technicians, engineers and site management to maximize fleet uptime
• Support preventive maintenance and equipment optimization

Requirements

At GoMining, a General Manager is the end-to-end owner of a business direction, responsible for its strategy, P&L, product, team, and overall results. A GM combines business, product, and operational ownership — setting priorities, managing unit economics, driving execution, and making decisions based on data. The goal is to run the direction as a business and take full responsibility for its growth, profitability, and performance.

We are looking for a General Manager to own Custody & Compliance at GoMining — the business line responsible for how customers move funds into and out of our ecosystem safely, quickly, and reliably.

This is not a traditional compliance role. You will own the entire direction as a business and product — from custody infrastructure and KYC/AML to deposits, withdrawals, Travel Rule, fraud controls, provider relationships, and customer experience.

Your goal is to build a system where compliance protects the company without becoming an unnecessary barrier for legitimate customers.

You will own the strategy, economics, product roadmap, delivery, key metrics, and engineering team behind the direction.

Location: London, United Kingdom (Hybrid) - 2 days per week onsite in London office

Hybrid | Full-time

Compensation: Competitive Compensation

We are hiring on behalf of our client, a pioneering scale-up in the UK credit data market, is seeking a early-career Product Engineer to build and maintain the Go services that power their real-time B2B APIs on AWS.

In this role, the successful candidate will join a collaborative and highly productive engineering team, reporting directly to the CTO. Working alongside and receiving mentorship from senior engineers, the candidate will take full ownership of real features end-to-end from day one. The role emphasizes a strong product mindset—focusing on user impact, problem-solving, and robust production design—alongside high standards for code quality and the responsible, effective use of modern AI tooling to complement engineering judgment.

Key Responsibilities:

Location: London, United Kingdom (Hybrid) - London based - some office presence / hybrid

Hybrid | Full-time

Compensation: £50K - £60K

We are hiring on behalf of our client, a dynamic financial technology organization who is seeking a Linux Desktop Support Engineer to join its Site Reliability Engineering (SRE) team in London. This position focuses on managing internal devices, supporting workplace technology, and maintaining office infrastructure, with a strong emphasis on Ubuntu/Linux environments.

The successful candidate will play a critical role in supporting employee onboarding, provisioning hardware, keeping developer and pairing stations running reliably, and leveraging automation to streamline support processes. This is an excellent opportunity for a hands-on, technical individual looking to own workplace technology within a high-performance engineering environment.

Key Responsibilities

Location: Remote - US Remote (Preference for NYC based candidates)

Remote | Full-time

Compensation: $200K - $250K

Our client operates shared financial infrastructure designed to enable businesses and institutional partners to launch and manage branded stablecoins and advanced digital asset issuance stacks. The platform provides fully interoperable, liquid on-chain solutions that grant businesses programmable control over payment ecosystems while meeting the stringent operational demands of regulated financial institutions.

To support rapid growth and expanding institutional partnerships, our client is seeking a sharp, execution-focused Head of Security & Risk. This is a foundational, individual contributor (IC) role at a critical inflection point for the organization. In this position, the Head of Security & Risk will build and own the information security and enterprise risk management functions from the ground up.

Location: New York, United States (Hybrid)

Hybrid | Full-time

Compensation: $200K - $300K

Our client, a high-growth fintech venture backed by leading industry accelerators, is developing a next-generation institutional trading venue for foreign exchange (FX) hedging. To drive this technical vision forward, our client is seeking a Founding Engineer with co-founder-level ownership to architect and build core financial infrastructure.

This role offers up to 5% equity and is designed for an ambitious, highly skilled engineer who thrives in an intense startup environment, works at an exceptional speed using modern AI-native development workflows, and is based in, or willing to relocate to New York City.

Key Responsibilities:

Azumo builds and operates production AI systems for companies ranging from seed-stage startups to Meta. We are hiring a Data Engineer to own the layer everything else depends on: ingestion and transformation pipelines, storage and warehouse design, and the retrieval infrastructure that AI systems query. The role is fully remote across Latin America, aligned to your client's working day.

You will not be building pipelines that work until the schema changes. Azumo has shipped production data systems since 2016, and the work here is judged downstream: whether a model can be trained on what you deliver, whether a retrieval query returns the right passage, whether a number survives being questioned by the client.

Where this role sits

Azumo's engineering organization is built around four lanes. The Data Scientist lane owns the question and the method. The AI Engineer lane owns production behavior. The Software Engineer lane owns AI-augmented product delivery. This role is the Data Engineer lane, and it owns pipelines, storage, and the retrieval layer.

One question places the boundary: when the output is wrong, whose problem is it? "The data was missing, stale, or wrong by the time it arrived" is yours."The system did the wrong thing with data that was correct" is the AI Engineer's.

Not quite your profile? Check our other openings:

Purpose of the Role

The Project Controls Director holds overall accountability for designing, deploying, and directing a comprehensive, fit-for-purpose project controls system for a new nuclear new-build project.

The primary objective is to give the Project Director and executive leadership an objective, evidence-based picture of project health across scope, milestones, expenditure, actual progress, risks, and emerging changes. Operating within approved project governance, the role ensures that project data directly informs timely, corrective decisions rather than serving solely as historical documentation.

The Director establishes the governance baseline linking Work Breakdown Structures (WBS), organisational accountabilities, budgets, integrated schedules, and performance analytics. Controls must remain proportionate: rigorous enough to spotlight critical-path risks and schedule erosion early, yet sufficiently streamlined to drive action across site delivery teams without excessive administrative burden.

Core Accountabilities

Azumo builds and operates production AI systems for companies ranging from seed-stage startups to Meta. We are hiring a Senior Security Engineer to own the technical security posture of those systems once they are live: the infrastructure they run on, the pipelines that feed them, and the agents that act on their output. The role is fully remote across Latin America, aligned to your client's working day.

You will not be writing policy. Azumo has shipped production AI since 2016, and the work here is in the systems themselves — hardening infrastructure, closing vulnerabilities, and building the guardrails that keep AI-driven workflows safe in front of real users.

Where this role sits

Most engineering organizations split ownership by what's built: pipelines and data infrastructure, the model or the method behind a decision, the product itself, and — once AI systems are live — what they actually do in front of users. Security isn't one more slice next to those. It's the discipline that has to hold inside every one of them, and on any team large enough to carry a dedicated specialist, this is the role that owns it.

Azumo builds and operates production AI systems for companies ranging from seed-stage startups to Meta. We are hiring an AI Engineer to own what those systems do once they are live: retrieval pipelines, tool-using agents, evaluation harnesses, and the guardrails that keep them dependable in front of real users. The role is fully remote across Latin America, aligned to your client's working day.

You will not be building demos. Azumo has shipped production AI since 2016, and the work here starts where the prototype ends, making a system reliable, measurable, and affordable enough to put in front of customers.

Where this role sits

Azumo's engineering organization is built around four lanes. The Data Engineer lane owns pipelines, storage, and the retrieval layer. The Data Scientist lane owns the question and the method. The Software Engineer lane owns AI-augmented product delivery. This role is the AI Engineer lane, and it owns production behavior.

One question places the boundary: when the output is wrong, whose problem is it? "The method was inappropriate" is a Data Scientist question. "The system did the wrong thing with an appropriate method" is yours.

Not quite your profile? Check our other openings: