Engineering Manager - Infrastructure

This position is listed on behalf of a partner company, who manages all applications and next steps.

Our partner is looking for a Engineering Manager - Infrastructure based in Germany.

This is an opportunity to lead a high-impact infrastructure team building the foundation that enables engineering organizations to deliver software faster and more reliably.

The role focuses on evolving internal platforms, CI/CD systems, and automation capabilities to support large-scale engineering operations.

You will guide a remote team of infrastructure engineers while driving improvements in scalability, efficiency, and developer experience.

The position combines technical leadership, people management, and strategic platform ownership in a fast-moving technology environment.

You will play a key role in reducing operational complexity through automation and AI-driven engineering practices.

This role is ideal for a servant leader who enjoys empowering teams, solving complex infrastructure challenges, and shaping the future of engineering productivity.

Accountabilities

The Engineering Manager - Infrastructure will lead the development and continuous improvement of a scalable infrastructure platform while enabling engineering teams to work efficiently and autonomously.

The role requires a balance of technical expertise, leadership, and strategic thinking to create reliable systems, reduce operational overhead, and support business growth.

• Lead and mentor a high-performing remote infrastructure engineering team, fostering autonomy, collaboration, accountability, and continuous improvement.
• Define and execute strategies for CI/CD platforms, artifact distribution systems, and infrastructure capabilities to support increased engineering scale.
• Drive automation initiatives focused on reducing manual processes, improving reliability, and creating a zero-toil engineering environment.
• Guide the adoption of AI-driven engineering practices to improve areas such as dependency management, incident resolution, cloud optimization, and developer support.
• Own the evolution of internal infrastructure platforms as products, ensuring they provide a seamless and effective experience for engineering teams.
• Translate technical needs into actionable roadmaps while collaborating with stakeholders across engineering and product teams.
• Review and contribute to technical architecture decisions, ensuring solutions are scalable, secure, and aligned with long-term goals.
• Support improvements to cloud infrastructure, Kubernetes environments, infrastructure-as-code practices, and CI/CD workflows.
• Promote engineering excellence through strong processes, technical reviews, and effective remote collaboration practices.

Requirements

The ideal candidate is an experienced engineering leader with strong infrastructure knowledge, a track record of developing engineering talent, and the ability to operate effectively in remote, asynchronous environments.

They should combine technical depth with strong communication and strategic leadership skills.

• Proven experience leading and growing engineering teams, including mentoring engineers toward senior and advanced roles.
• Strong stakeholder management skills with the ability to align technical initiatives with business objectives.
• Senior-level technical expertise with cloud platforms such as AWS, GCP, or similar environments.
• Hands-on experience with Kubernetes and modern infrastructure management practices.
• Experience with Infrastructure as Code tools such as Terraform, Argo CD, or comparable technologies.
• Background scaling CI/CD systems, including solutions such as Git Hub Actions with self-hosted runners or similar platforms.
• Backend engineering experience with proficiency in at least one programming language, such as Python.
• Ability to review complex architectures and contribute technically when needed, including workflow automation initiatives.
• Experience building efficient teams in remote-first and async working environments.
• Strong understanding of automation, platform engineering, and developer experience principles.
• Excellent written and verbal communication skills.

Preferred qualifications

• Experience transforming teams into AI-native or automation-first engineering organizations.
• Background in technical product management or strong product-oriented thinking.
• Experience implementing Fin Ops practices and improving cloud cost accountability.

Benefits

• Competitive compensation package with location-based salary ranges.
• Equity opportunities through a company stock option program where applicable.
• Fully remote work environment with flexibility to work from anywhere.
• Home office support, co-working space assistance, and flexible time off.
• Comprehensive healthcare and wellbeing programs, including mental health support.
• Retirement and pension plans, with company contributions where applicable.
• Life and disability insurance coverage where relevant.
• Annual company gatherings, team offsites, and opportunities for in-person collaboration.
• Learning and development budget of up to $1,000 annually for courses, certifications, books, and professional growth.
• Opportunity to join an ambitious technology organization working on large-scale engineering challenges.
• Inclusive workplace culture focused on collaboration, diversity, and equal opportunity.

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

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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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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.