Senior Platform Software Engineer

Team: IT

Location: Germany

Commitment: Full-time

Workplace Type: remote

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.