DevOps Engineer

About Cognigy

Cognigy is transforming the customer service industry with the most advanced AI Agent platform for enterprise contact centers. Its award-winning solution, Cognigy.AI, empowers enterprises to deliver instant, hyper-personalized, multilingual service on any channel. By integrating Generative and Conversational AI to create Agentic AI, Cognigy delivers AI Agents that redefine customer experiences, drive satisfaction, and support contact center employees in real-time.

Our skilled #CognigyCrew are the people behind our leading technology and we are now looking for more talented people to join our global team.

Why you’ll love working at Cognigy - Our promise to you

We empower our people to be successful as part of a diverse, passionate and respectful team who are proud to be enabling customer and employee service that is loved by everyone.

We do this by challenging each other to succeed and being enabled to do our best work. Encouraging and supporting growth is at the heart of our success, founded on a culture of mutual respect and trust – always! It’s no wonder that the values that inspire and drive our #CognigyCrew are our 4Ts - Team, Trust, Transparency, Technology.

Your new role - DevOps Engineer

Location: On-site in Düsseldorf or remote in Germany

You’ll be joining our Engineering department, a dynamic environment where cross-functional development teams drive continuous improvements, build new features, and develop cutting-edge products. Supporting this innovation, our Product Support, QA, and SRE teams work alongside our Product, People, and Leadership teams - including our Director/Architect and VP of Engineering - to tackle new challenges, push the boundaries of technology, and ensure our products remain stable, innovative, and customer-centric. Together, we’re committed to delivering excellence and shaping the future of our industry.

 Your responsibilities will include

• Automate Everything – Streamline the provisioning of Kubernetes clusters and automate deployment processes for Cognigy.AI, ensuring efficiency and scalability.
• Ensure Stability & Reliability – Proactively monitor product installations and infrastructure to guarantee high availability and seamless performance for our SaaS offerings.
• Optimize & Reduce Costs – Help engineering teams automate repetitive tasks, improving efficiency, reducing operational overhead, and driving cost-effective solutions.
• Mentor & Guide – Provide expertise and mentorship to fellow DevOps engineers, fostering a culture of knowledge sharing and continuous improvement.
• Full Lifecycle Involvement – Be part of an agile development team, engaging in all phases of software engineering—from inception and coding to testing, deployment, and operations. Drive automation at every level.
• Performance & Scalability Focus – Enhance development team productivity by optimizing observability, scalability, availability, and reliability. Lead postmortems after major incidents to drive continuous improvement.
• Embrace Continuous Learning – Stay ahead of industry trends, continuously develop your skills, share knowledge, and take ownership of new challenges—all while enjoying the journey.
• User-Centric Mindset – Seek and incorporate customer feedback into development processes, ensuring new features enhance user experience while keeping the codebase deployment-ready at all times.

Growth Potential

At Cognigy we are committed to your professional growth. This role offers significant opportunities for career development, including access to ongoing training, and involvement in high-impact projects allowing you to showcase and advance your unique skills and experience.

About you

• Kubernetes & Containerization Expertise – You have several years of experience running containers in production, including building Kubernetes clusters from the ground up. You’re also experienced with managed Kubernetes services like AWS EKS, Azure AKS, or Google GKE.
• Infrastructure Auto-Scaling – You know how to leverage tools like the Horizontal Pod Autoscaler and Cluster Autoscaler to ensure seamless scaling and performance.
• Cloud Proficiency – You have hands-on experience with major cloud platforms like AWS, Microsoft Azure or GCP.
• Strong Networking & Security Knowledge – You understand concepts like VPCs, subnets, internet gateways, and web security best practices.
• Passion for Automation – You have multiple years of experience with CI/CD systems (e.g., Jenkins, GitLab) and believe in automating whenever possible.
• Infrastructure as Code Enthusiast – You’re proficient with tools like Terraform, Helm, and Flux for managing infrastructure and deployments.
• Programming Skills – You have expertise in one or more programming languages such as Golang, Python, Ruby, JavaScript, Java, or Perl.
• Hands-on with Key Technologies – You’re familiar with Docker, Kubernetes, Message brokers, NoSQL and SQL databases and other core technologies.
• Monitoring & Observability – You have experience with monitoring tools like Prometheus, Grafana, and the ELK Stack, ensuring system reliability and performance.
• Proactive & Solution-Oriented Mindset – You anticipate scaling needs, take full ownership of challenges, and apply a systematic approach to problem-solving.
• Incident Response & Decision Making – You stay calm under pressure, make decisions with urgency when necessary, and are comfortable being on call for emergencies.
• Team-Oriented & Globally Minded – You’re eager to collaborate in an international, dynamic, and highly motivated team, contributing to the growth of Cognigy.AI.