Senior Platform Software Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Platform Software Engineer based in Spain.As a Senior Platform Software Engineer, you will take ownership of the cloud infrastructure, deployment pipelines, and production reliability that underpin a growing software platform. You will play a key role in building scalable, resilient, and secure systems that enable teams to deliver product improvements quickly and confidently. Working in a collaborative, seed-stage environment, you will help shape architectural decisions and establish the foundations for long-term technical growth. You will work across AWS infrastructure, CI/CD automation, distributed systems, and PostgreSQL performance optimization. The role offers significant autonomy, hands-on technical challenges, and the opportunity to influence engineering practices from the ground up. You will also explore AI-assisted development tools to improve productivity and streamline engineering workflows. This is an opportunity to make a tangible impact on both platform reliability and the overall product experience.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.#J-*****-Ljbffr

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.

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. #J-*****-Ljbffr