Senior Platform Software Engineer

Accountabilities:: Design and manage cloud infrastructure: Architect, deploy, and operate AWS services across compute, messaging, storage, networking, and observability to support scalable and reliable applications. Develop deployment automation: Build, maintain, and optimize CI/CD pipelines that enable safe, efficient, and automated releases from code commit to production. Own database reliability and performance: Manage production PostgreSQL environments, including configuration, connection pooling, performance tuning, database migrations, and backup and recovery strategies. Strengthen distributed systems: Investigate complex production issues, identify root causes, and implement robust solutions that address ordering, retries, idempotency, partial failures, and message delivery guarantees. Balance speed and technical quality: Make pragmatic engineering decisions that support rapid product delivery while maintaining system stability, maintainability, and long-term scalability. Influence technical direction: Collaborate with product teams and stakeholders to define architectural approaches, prioritize infrastructure improvements, and align technical decisions with business needs. Integrate AI-assisted workflows: Evaluate and adopt AI-powered development tools where they can improve coding efficiency, testing, build processes, and deployment workflows without compromising engineering quality. Requirements: Professional experience: Typically 5–10+ years of relevant software engineering or platform engineering experience, including hands-on ownership of production infrastructure and systems. Cloud infrastructure expertise: Strong practical knowledge of AWS services and experience designing, deploying, and operating cloud environments in production. Infrastructure as Code: Proven experience with Terraform or comparable tools for automating and managing infrastructure consistently and reliably. Distributed systems knowledge: Solid understanding of distributed systems principles, including message ordering, idempotency, retries, at-least-once delivery, and recovery from partial failures. Database engineering: Demonstrated production experience with PostgreSQL, including connection pooling, schema migrations, query and performance optimization, and backup and restore procedures. Software development familiarity: Ability to read, understand, and navigate TypeScript and Node.js codebases, with familiarity with NestJS and modern backend application architectures. Reliability and troubleshooting: Experience operating high-traffic, highly available systems, combined with strong independent debugging, incident investigation, and problem-solving skills. AI development tools: Comfort using AI coding assistants and integrating AI-enabled tools into engineering workflows while applying sound technical judgment and maintaining high-quality standards. Collaboration and ownership: Strong communication skills, a proactive and independent working style, and the ability to collaborate effectively across engineering, product, and other stakeholder teams. Product mindset: Genuine curiosity about the product and its users, with an interest in connecting infrastructure decisions to customer outcomes and business objectives. Location eligibility: Ability to work remotely from within Europe, with a location within three hours of Central European Time. Visa sponsorship is not available. Benefits: Competitive compensation: A competitive salary package aligned with experience and technical expertise. A specific salary range has not been disclosed. Equity participation: Employee stock options offering the opportunity to share in the company's long-term growth. Remote flexibility: Work remotely from within Europe, provided you are located within three hours of Central European Time. Meaningful technical ownership: Take responsibility for core infrastructure, deployment systems, and production reliability in a growing software environment. Engineering autonomy: Influence architectural decisions, improve development practices, and help establish scalable technical foundations. Modern tooling: Explore AI-assisted development tools and identify practical ways to improve engineering productivity and delivery quality. High-impact environment: Work closely with engineering and product stakeholders, with the opportunity to make visible contributions to platform performance, reliability, and product delivery.