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Senior TypeScript Developer (Backend / Full-Stack)

BidMachine
CompanyBidMachine
CategoryEngineering
LocationBarcelona
RemoteOn-site (inferred)
EmploymentNot stated
LevelSenior
SalaryNot stated by the employer
Posted7 Apr 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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Description
BidMachine Exchange – a fast-growing global programmatic exchange built for the future of in-app advertising. BidMachine operates with a strong US foundation and an international presence, with teams across Warsaw, Barcelona, Parkland (FL), and remote experts around the world. We combine deep AdTech expertise, proprietary technology, and a data-driven mindset to deliver transparency, performance, and efficiency in the mobile advertising ecosystem. Why BidMachine? At BidMachine, we are building more than an exchange — we are shaping the infrastructure that powers fair, efficient, and scalable in-app programmatic advertising. Our mission is to create a high-performance marketplace where publishers maximize value and advertisers access premium inventory with full transparency and control. We are proud of our technology, our ambitious vision, and our globally distributed team of talented professionals who continuously raise the bar in AdTech. Here’s what we value, and what we hope you do too: Ownership & Accountability We move fast, take responsibility, and think like builders. Every team member has a direct impact on product growth and market success. Data-Informed Excellence We leverage data to make smarter decisions, optimize performance, and build scalable solutions that deliver measurable results. Innovation & Technical Depth We solve complex programmatic challenges with cutting-edge technology and a deep understanding of the ecosystem. Global Collaboration We work across cultures, time zones, and disciplines — united by shared goals and high standards. Ambition & Impact We are here to build something significant — a best-in-class exchange that competes with the strongest players in the market. MGP - End-to-end ecosystem designed to empower mobile app developers to acquire, monetize, and retain users. The platform combines a sophisticated Mediation, Exchange and DSP with integrated analytics and insights, powered by proprietary know-how, continuous innovation, and cutting-edge AI. Your job will be focused on building MGP UI — a next-generation control plane that brings configuration, experimentation, and operational tooling into a single cohesive interface for our products. This is a greenfield project where you'll define the architecture, set technical standards, and shape how the team works. We’re looking for someone who is AI-native . You’ve integrated LLMs into your daily workflow — for coding, documentation, learning, and thinking through problems. But it goes beyond personal productivity: you’re excited about building AI-powered features into products. Natural language interfaces. Assistants that reduce cognitive load for users. You understand that AI is a tool with sharp edges — you know its failure modes, you validate its outputs, and you can teach others to use it effectively. About the role: Own the architecture of MGP UI — make foundational decisions on stack, patterns, and boundaries that will scale with the product. Write production TypeScript — backend services, APIs, and full-stack features when needed. Establish engineering practices — code review culture, testing strategies, CI/CD standards, documentation norms. Integrate AI into workflows — both internal tooling and product features. Mentor engineers, conduct design reviews, and raise the technical bar across the team. Collaborate cross-functionally with product, data, and platform teams. Requirements: 5+ years of experience in software engineering. Deep TypeScript expertise — generics, conditional types, mapped types, type inference, type-safe API design. Backend architecture experience — scalable services, distributed systems, PostgreSQL, message queues, caching. AI fluency — you actively use Claude, GPT, Copilot, or similar tools in your daily work and can articulate where AI helps and where it fails. Str
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