DevOps Engineer

April 6

Cognigy

WebsiteLinkedInAll Job Openings

POWER UP Your Enterprise Contact Center to Exceed Customer Expectations and Improve Agent Satisfaction.

natural language processing • Enterprise artificial intelligence • machine learning • dialogue and chat systems • multi channel AI

51 - 200

💰 $15M Series B on 2022-02

Description

• You will be welcomed into our engineering department, which is divided into cross-functional, verticalized development teams, who are focused on delivering continuous improvements, features and developing new products. To support the delivery process and stability of our products, we can also count on our Product Support team, QA team, and SRE team who, alongside our Product and People team, Director/Architect and VP Engineering, are constantly looking to overcome new challenges, to innovate, and to ensure the success of our products and satisfaction of our customers. • Your mission will include automating provisioning processes of Kubernetes clusters and our microservices-based software application Cognigy.AI, monitoring product installations and our infrastructure to guarantee the stability of our SaaS product offerings, helping engineering teams automate recurring procedures, providing guidance to other DevOps engineers, taking a holistic approach as part of an agile development team, focusing on all phases of software engineering, boosting productivity by concentrating on aspects like observability, scalability, availability, maintainability, reliability, etc while keeping the customer in mind, leading postmortems after major incidents, engaging in continuous learning, seeking feedback from users while developing new features, and always keeping the code base deployable to production.

Requirements

• Several years of experience in Kubernetes and running containers in production, including building Kubernetes clusters from the ground up • Being available in case of emergencies is not a problem for you • Experience in running distributed systems like databases • Good networking knowledge: Like VPC, Subnets, Internet Gateways • Multiple years of experience with CI/CD systems like Jenkins – you love to automate whenever you can • Experience with automation tools: Terraform, Helm and Flux • Excellent communication skills in English, ideally also in German – we have many German customers who might need help with DevOps related questions • Knowledge in auto-scaling infrastructure by leveraging tools like the Horizontal Pod Autoscaler or the Cluster Autoscaler • You have used products like AWS EKS, Azure AKS or Google GKE – the managed Kubernetes services from leading cloud providers • You can use “the force” to proactively scale our infrastructure • Expertise in coding with one or more of the following languages: Golang, Python, Ruby, JavaScript, Java or Perl • Experience with cloud platforms (e.g. Google Cloud Platform, Amazon Web Services, Microsoft Azure) • Familiar with topics like Docker, Kubernetes, Elasticsearch, Cassandra, Postgres, Kafka, Jenkins, Gitlab • Basic knowledge of monitoring and experience with Datadog, Prometheus, Grafana, ELK-Stack or similar tools • Expertise around web security and networking • Your mindset: You have a systematic problem-solving approach, coupled with a strong sense of ownership and drive • Experience in dealing with difficult situations and making decisions with a sense of urgency • Want to work in an international, dynamic and highly motivated team and contribute to the development of Cognigy.AI

Benefits

• Attractive and performance-oriented salary • Company pension plan • 30 days paid leave • Discretionary virtual stock options plan, so you can benefit from the company’s success • Unique opportunity to help build and shape the company, with little hierarchy • Flexible and remote working options • Colleague recognition, reward and celebration events • Global Employee Assistance Program • ClassPass membership, giving you access to a variety of fitness and wellness experiences • Ongoing learning and development opportunities, including LinkedIn Learning