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

Location: Remote (United States)

Remote | Full-time

Compensation: $130K - $200K

Our client is a high-growth, early-stage developer infrastructure startup that has recently secured $5M in seed funding from top-tier venture capital firms and prominent angel investors from OpenAI, Google, and Databricks. The company provides a modern approach to infrastructure-as-code purpose-built for the AI era. Their platform enables startups and enterprise organizations to deploy complex software and AI agents directly into secure, private customer cloud environments, safely unlocking access to sensitive data that cannot leave strict compliance boundaries.

As the Founding Developer Relations (DevRel) Engineer, you will be the inaugural voice of the platform, taking a product with robust engineering roots and building out its entire developer content ecosystem from scratch. This is a high-ownership role within a lean, high-impact team where you will design tutorials, reference applications, videos, and guides that help developers seamlessly ship AI applications into cloud environments.

Key Responsibilities

We are looking for a Lead FullStack Engineer with strong backend expertise to help us build reliable, scalable, and high-quality products.

You will lead a small engineering team consisting of 3 engineers and 2 QA specialists. This is a hands-on role requiring deep involvement in architecture, complex technical challenges, and production development.

We expect you to actively leverage AI tools to improve engineering quality and development velocity.

Responsibilities

• Design and develop scalable backend services and APIs.
• Drive architecture decisions and ensure high engineering standards.
• Write production-ready code and actively use AI tools to accelerate development.
• Solve complex technical challenges and improve system reliability.
• Lead code reviews and maintain code quality across the team.
• Mentor engineers and help increase team productivity.
• Collaborate closely with Product, Design, and QA teams.
• Continuously improve development processes and engineering practices.

Requirements

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

We are hiring on behalf of our client, a leading firm operating at the intersection of advanced financial markets and digital asset infrastructure who is seeking a skilled Infrastructure/Backend Engineer to join its growing technical team in New York City. Operating in a hybrid capacity with a heavy emphasis on collaborative, in-office presence, the employer provides a state-of-the-art trading and data ecosystem that processes tens of billions in cumulative volume.

In this pivotal role, the successful candidate will spearhead the modernization and scalability of a high-performance infrastructure layer. This individual will focus on migrating systems to a robust, ultra-low-latency infrastructure stack built entirely on Infrastructure as Code (IaC) principles. The primary objective is to build an advanced, reliable, and secure self-service infrastructure platform that empowers developers to manage deployments, monitoring, and provisioning independently. This position requires an engineering mindset rooted in institutional financial systems, elite operational excellence, and high-velocity problem-solving.

Key Responsibilities

We are looking for a FullStack Engineer with a strong backend focus to help build and scale Enterprise products.

You will work closely with Product and Engineering teams to develop partner-facing experiences, widgets, and internal applications.

Responsibilities

• Build and maintain frontend applications, widgets, partner portals, and landing pages.
• Design and implement backend services and APIs.
• Prototype new partner integrations and B2B solutions.
• Work closely with Product Managers and Designers from requirements to production.
• Own features end-to-end, including deployment and support.
• Participate in code reviews and architecture discussions.
• Actively leverage AI tools to accelerate development and increase productivity.

Requirements

Backend

• Commercial experience with Node.js and TypeScript.
• Experience building and maintaining REST APIs.
• Good understanding of PostgreSQL and Redis.
• Understanding of asynchronous patterns and message queues.
• Familiarity with JWT and OAuth2.

Frontend

About Signal Ocean:

Signal Ocean is the technology arm of the Signal Group, providing market-leading advanced machine learning and AI-driven intelligence to shipping and commodities professionals worldwide. Our platform delivers tailored, exclusive insights through web, mobile, and API interfaces, enabling clients to make faster, better-informed commercial decisions.

Signal Ocean has recently acquired AXSMarine, a business with over 25 years of experience in the freight and commodities space - and is actively integrating the two companies. The combined business now offers the most comprehensive suite of freight market intelligence available, and we are actively building the team to realise the full potential of the integration.

About the role

As the Signal Ocean Platform continues to grow, we’re expanding our engineering team. We're looking for a Senior Full Stack Engineer with experience in React, someone who is curious, proactive, and passionate about building high-quality digital solutions. Signal’s Software Engineers work closely with data science, design, product, and business analysis professionals to develop robust solutions for the highly entrepreneurial domain of shipping.

Technology Stack

About Signal Ocean:

Signal Ocean is the technology arm of the Signal Group, providing market-leading advanced machine learning and AI-driven intelligence to shipping and commodities professionals worldwide. Our platform delivers tailored, exclusive insights through web, mobile, and API interfaces, enabling clients to make faster, better-informed commercial decisions.

Signal Ocean has recently acquired AXSMarine, a business with over 25 years of experience in the freight and commodities space - and is actively integrating the two companies. The combined business now offers the most comprehensive suite of freight market intelligence available, and we are actively building the team to realise the full potential of the integration.

About the role

As the Signal Ocean Platform continues to grow, we’re expanding our engineering team. We’re looking for a Software Engineer capable of building and maintaining scalable back-end data services (primarily in Python) within the Modelling & Data Services team. Signal’s Software Engineers work closely with data science, design, product, and business analysis professionals to develop robust solutions for the highly entrepreneurial domain of shipping.

Location: Remote - EST timezone

Remote | Full-time

Compensation: $100K - $130K

We are hiring on behalf of our client who is seeking an exceptional, production-proven Infrastructure & DevOps Engineer to take absolute ownership of the deployment, secure networking, architectural lifecycle, and overall reliability of this distributed agent fleet from day one. The client is engineering a sophisticated infrastructure designed to launch a highly distributed fleet of managed, single-tenant personal artificial intelligence (AI) trading agents. Operating non-stop, these isolated processes execute high-frequency, complex financial workflows natively on blockchain infrastructure, dedicated exclusively to individual user portfolios.

Key Responsibilities

As a SRE Lead, you will design, implement, and maintain our observability cloud infrastructure and infrastructure platform. You will also work closely with development teams to streamline deployment processes and ensure system reliability.

We are looking forward to your resume!

Requirements

- 5+ years of experience in DevOps/SRE roles;

- Strong experience with AWS cloud services;

- Advanced knowledge of Kubernetes and container orchestration;

- Solid understanding of DevOps principles and practices;

- Experience with Helm chart development and maintenance;

- Strong proficiency in monitoring, logging, alerting, cloud, platform, OS, CI/CD, repo storage, and management tools;

- Strong scripting skills (Bash, Python, or similar);

- Excellent problem-solving and communication skills.

Responsibilities

- Manage SRE teams;

- Technical excellence of teammates;

- Implement and maintain monitoring solutions using Prometheus, Victoria-Metrics, and Grafana to identify and address performance issues proactively;

- Manage logging infrastructure using Fluent, Fluent-bit, ElasticSearch, and Kibana, ensuring efficient log collection, analysis, and visualization;