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 Germany.

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.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.