This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a (Senior/Staff) Platform Engineer based in Germany.
In this role, you will take ownership of a critical cloud infrastructure platform, ensuring the reliability, security, and scalability of services supporting enterprise customers. You will design, build, and continuously improve the systems and tools that empower engineering teams to develop and deploy software efficiently. Working across cloud infrastructure, Kubernetes, networking, automation, and observability, you will help establish robust engineering foundations while simplifying everyday development workflows. You will also play a key role in incident management, infrastructure security, and the adoption of AI-powered engineering tools. Joining a remote-first, fast-moving environment, you will have significant autonomy and influence over technical decisions and platform strategy. This is an opportunity to shape infrastructure within an ambitious technology business operating in a demanding, security-conscious environment.
Accountabilities:
- Own, maintain, and continuously evolve the cloud infrastructure platform, covering AWS, Kubernetes, networking, Terraform, CI/CD pipelines, and observability.
- Design and implement scalable, reliable, and secure infrastructure solutions that support enterprise-level requirements for availability, auditability, and performance.
- Improve the developer experience by optimizing engineering workflows, including local development environments, preview environments, and deployment processes.
- Establish streamlined development and delivery practices that enable engineers to ship software quickly without compromising reliability or security.
- Lead incident response activities, coordinate troubleshooting efforts, identify root causes, and implement sustainable solutions to prevent recurring issues.
- Identify repetitive manual processes and transform them into automated workflows, self-service tools, and efficient infrastructure operations.
- Support the safe adoption of AI agents within engineering workflows by developing appropriate sandbox environments, security controls, and operational guardrails.
- Drive continuous improvements across platform reliability, infrastructure security, monitoring, and operational efficiency.
- Collaborate closely with software engineers and other technical stakeholders to understand infrastructure needs, communicate architectural decisions, and deliver effective platform solutions.
- Take ownership of technical challenges from identification through implementation, ensuring that infrastructure decisions support long-term business and engineering objectives.
Requirements:
- Significant professional experience in platform engineering, DevOps, site reliability engineering (SRE), cloud infrastructure, or a closely related technical discipline, at Senior or Staff level.
- Strong hands-on expertise in production cloud infrastructure, particularly Kubernetes, cloud networking, and infrastructure as code.
- Practical experience designing, deploying, and operating infrastructure in production environments, with a strong understanding of reliability, scalability, and security principles.
- Proficiency with infrastructure automation and modern deployment practices, including tools and technologies such as Terraform and CI/CD pipelines.
- Experience improving developer experience and engineering productivity through better tooling, automation, and streamlined development workflows is a strong advantage.
- Knowledge of observability, monitoring, incident management, and infrastructure security, with the ability to identify and address operational risks.
- Previous experience working in a startup or scale-up environment, demonstrating the ability to take ownership of complex problems and deliver solutions independently.
- Strong technical judgment and decision-making skills, with the confidence to challenge existing approaches, explain trade-offs clearly, and advocate for effective engineering practices.
- Adaptability and curiosity when working with different cloud providers, technologies, and tools, with a strong willingness to learn new systems and approaches.
- Excellent communication and collaboration skills, combined with a proactive, autonomous, and solutions-oriented mindset.
- Experience working in regulated industries such as fintech, payments, or digital identity is considered a plus.
- Familiarity with AWS, Kubernetes, Terraform, PostgreSQL, RabbitMQ, Node.js, TypeScript, or event-driven architectures is beneficial, although expertise across the entire technology stack is not required.
- Interest in emerging AI-powered engineering tools and the ability to approach their adoption with a strong focus on security and operational best practices.
- Curiosity, authenticity, kindness, and a collaborative attitude, with a genuine passion for building high-quality products and infrastructure.
Benefits:
- Full-time employment opportunity within a remote-first working environment.
- Location flexibility, with remote opportunities across Europe.
- Opportunity to work on critical infrastructure supporting enterprise customers with demanding reliability, security, and compliance requirements.
- Significant ownership and autonomy over platform architecture, infrastructure strategy, and technical decisions.
- Opportunity to shape engineering practices, developer experience, and deployment workflows across the organization.
- Exposure to modern cloud-native technologies, including AWS, Kubernetes, Terraform, and AI-powered engineering tools.
- Opportunity to contribute to the safe and effective adoption of emerging AI technologies.
- Collaborative environment focused on transparency, ambition, continuous learning, and high-quality engineering.
- Opportunity to work alongside an experienced team supported by leading international investors and industry experts.
- Inclusive culture that values diverse professional backgrounds, curiosity, authenticity, and kindness.
- Encouragement to apply even if you do not meet every listed requirement, with an emphasis on potential, technical depth, and willingness to learn.
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?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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