Engineering Director (GoMining Platform)

We are looking for an Engineering Director to own the technology platform behind the GoMining ecosystem.

This is a senior leadership role for someone who combines deep engineering expertise with strong product and business thinking.

You will own the Platform end-to-end — technology strategy, architecture, engineering organization, roadmap, reliability, delivery, and its impact on the wider business.

The Platform powers multiple GoMining products and includes core application infrastructure, authentication and authorization, integrations, shared services, analytics infrastructure, user restrictions, native applications, reliability, and other foundational capabilities.

This is not a role where success is measured simply by uptime, delivery, or engineering output.

We expect the Engineering Director to understand where technology creates or limits business value, make trade-offs between long-term architecture and immediate commercial priorities, and build a platform that allows the entire company to move faster.

Responsibilities

Platform Strategy & Architecture

• Own the technology strategy, architecture, and roadmap for the GoMining Platform.
• Build scalable shared infrastructure used across multiple products and engineering teams.
• Define which capabilities should be centralized at Platform level and which should remain within individual product teams.
• Drive major architectural and technical decisions.
• Identify scalability and architectural bottlenecks before they become business-critical.
• Balance long-term platform investments with immediate product and commercial priorities.

Reliability & Engineering Excellence

• Own platform reliability, availability, latency, scalability, and operational performance.
• Define and improve SLAs, DORA metrics, engineering performance, and incident-management practices.
• Improve release stability, engineering velocity, and system resilience.
• Lead post-incident improvements and eliminate systemic reliability issues.
• Maintain a high engineering bar without unnecessary bureaucracy.

Core Platform Capabilities

• Own shared authentication, authorization, registration, and 2FA infrastructure.
• Develop common account controls, user restrictions, and security mechanisms.
• Own integrations and shared backend capabilities required across GoMining products.
• Develop shared analytics and event infrastructure.
• Support common infrastructure across web and native applications.
• Partner with Product, Design, Security, and engineering teams on cross-company capabilities.

Product & Business Impact

Platform at GoMining is not an isolated infrastructure function.

You will work directly with product leaders, General Managers, and C-level stakeholders to understand where technology can unlock growth and where platform limitations are holding the business back.

• Prioritize engineering initiatives based on technical risk and business impact.
• Understand how platform decisions affect revenue, conversion, customer experience, and product velocity.
• Identify technical changes that can unlock meaningful business results.
• Balance competing priorities across multiple product teams.
• Make clear trade-offs between speed, scalability, reliability, security, and business value.
• Measure Platform not only through technical metrics, but through how effectively it accelerates the company.

Engineering Leadership

• Lead and develop the Platform engineering organization.
• Own team structure, hiring, performance, priorities, and execution.
• Build a culture of strong engineering ownership and accountability.
• Stay close enough to architecture and technology to challenge decisions and make informed trade-offs.
• Develop strong technical leaders within the team.
• Raise the technical and execution bar across the organization.

AI-First Engineering

• Actively use AI tools and agents in your own work.
• Introduce AI-assisted workflows across engineering, specifications, QA, analytics, and operations.
• Identify opportunities to automate repetitive engineering work.
• Use AI to increase engineering velocity and quality.
• Build a team where AI becomes part of the engineering operating model.