Senior DevOps Engineer (f/m/d)

Short Description

At SPREAD, we're fueling digital innovation for companies that build real things!

Our platform streamlines engineering and product lifecycle processes, empowering businesses in the automotive, defense, and machinery sectors to innovate faster without sacrificing efficiency.

Join our agile, cross-functional team, working closely alongside Backend, QA, and internal stakeholders. This role balances hands-on customer deployments and continuous enhancement of our Kubernetes-driven infrastructure—making a direct, tangible impact every day.

Your input will ensure robust and seamless operations, supporting clients who operate in demanding, high-compliance environments.

Your Mission

• Deploy and establish robust Kubernetes-based infrastructure, customized to diverse client requirements.
• Directly engage with customers, adapting solutions for both cloud and on-prem environments, clearly navigating complex compliance and security requirements.
• Automate deployment and operational workflows, optimizing CI/CD pipelines with carefully chosen tools and strategies.
• Conduct code and infrastructure reviews, offering actionable insights to improve performance, reliability, and security.
• Efficiently resolve technical challenges, manage timely software updates, and implement dependable solutions.
• Provide technical insights during project planning, emphasizing secure deployment methodologies and best practices in infrastructure.
• Implement and maintain comprehensive monitoring, logging, and reporting systems to guarantee stability in client and internal environments.
• Champion a culture of excellence in DevOps practices, collaboration, and proactive communication across teams.

Your Experience

Must-Haves:

1. 5+ years as a DevOps Engineer, or equivalent role, ideally in security-sensitive or compliance-driven environments.
2. Hands-on customer-facing deployment experience, including both cloud and on-prem infrastructure setups.
3. Deep Kubernetes proficiency, building environments from scratch, and managing hybrid or multi-cloud scenarios with Terraform.
4. Strong scripting capabilities (Python, Bash) and hands-on expertise with secure and compliant CI/CD processes.
5. Experience managing critical database environments with complex migration strategies.
6. Solid Linux, networking, security, and Git version control skills.
7. Demonstrated ability to work autonomously and collaboratively in cross-functional, compliance-aware teams.
8. Fluent in spoken and written English.

Nice-to-Haves:

• Experience with Golang, Rust, C++, or TypeScript.
• Familiarity with distributed systems.
• Experience implementing highly available and fault-tolerant infrastructures.
• Strong project management skills and effective use of collaboration tools.

Why us?

• Write Your Own Success Story: Explore new markets, industries, and regions with the freedom to carve out new opportunities.
• Learning & Development: Benefit from an annual €1,000 professional development budget and access to our internal career framework offerings.
• Wellbeing: Enjoy Urban Sports membership, 30 days of vacation, remote work, and workation options, plus a dedicated volunteering day each year. You can also choose your hardware setup to match your working preferences.
• Company Culture: Participate in exciting team weeks, experience a supportive feedback culture, and live our company values every day.

Contact

Dmytro Iefymenko
recruiting@spread.ai


SPREAD GmbH
Prinzessinnenstraße 8-14
10969 Berlin

About us

SPREAD's mission is to make product data the most accessible, intuitive, and actionable for every engineer through Agentic Engineering Intelligence. Our Agentic Engineering Intelligence software connects all types of product data to help engineering teams gain an objective understanding of highly complex systems such as automobiles, industrial and precision machinery, aircraft, and beyond. With use cases from R&D to aftersales, SPREAD helps customers like Mercedes, VW Group, and Infineon to accelerate development cycles, improve quality and eliminate millions in inefficiencies.

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