(Senior) Site Reliability Engineer (m/f/d) in Berlin or Konstanz at KNIME Inc.

Berlin, Baden-Württemberg, Germany -

Full Time

Start Date

Immediate

Expiry Date

01 Oct, 26

Salary

0.0

Posted On

03 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Kubernetes, Terraform, AWS, Azure, Helm, Python, Shell Scripting, Linux, Networking, SaaS, Infrastructure as Code, OAuth/OIDC, Postgres, CloudFormation, Azure ARM, Service Telemetry

Industry

Description

Why join the talent pool Mission The Site Reliability Engineer at KNIME ensures that our next-generation cloud platform is built, operated, and scaled with reliability, security, and cost-efficiency as first-class engineering outcomes. Through active on-call ownership and hands-on engagement with engineering teams, this role sets and drives the operational standards that keep KNIME SaaS stable, observable, and production-ready at scale. Role Overview We are currently designing, building and launching our next generation of products and services in the cloud. We are looking for someone eager to be a part of this innovative process. This includes adapting our industry leading data science and analytics platform into a managed platform capable of serving thousands of users. The ability to handle Infrastructure as Code development is crucial as we strive to match our quality and functionality with innovative solutions that can address growth, cost and durability concerns. You will work in a cloud platform team interfacing with multiple development teams to drive KNIME products into production ready environments. Responsibilities Using code to automate the deployment and operations of large scale SaaS systems. Experience with Kubernetes operators is a plus. Building out infrastructure as code using tools such as Helm, Terraform, Amazon CloudFormation and Azure ARM. Participating in on-call rotations, incident triage and mitigation, troubleshooting issues in live environments, providing root cause analysis and issue resolution. Setting standards for product deployments including reliability, scalability, traceability and monitoring. Communicate with product and development teams to help drive adoption. Instrument deployed systems for performance, reliability and cost effectiveness. Embeds with product and engineering to lead planning, own dependency risk, and drive consistent adoption of reliability and operational standards across teams. Requirements You hold one or more current certifications on a cloud platform such as AWS, Kubernetes, Linux or similar technologies Strong cloud experience with at least one among AWS and Azure cloud providers. The ideal candidate would master both. You possess in-depth knowledge of VPC, IAM, EKS, ECR, EC2, S3, RDS, CloudWatch and their counterparts in the Azure environments. Have experience deploying software systems to a Kubernetes environment. Have a working knowledge of Kubernetes concepts and the ability to craft deployment solutions using common Kubernetes patterns. Scripting knowledge in Python, Shell are required, additional programming experience in Go, Java are a plus. Systems level knowledge and experience with Linux. Expertise in networking, including security, routing, load balancers, and firewalls. Knowledge of best practices around service telemetry, including metrics aggregation, distributed logging, and tracing in large, distributed systems Working knowledge of OAuth/OIDC identity providers such as Keycloak Working knowledge of relational databases such as Postgres Ability to work independently and within a team environment. This includes clear and concise communication across an organization that is geographically and culturally dispersed Leveling What Success Looks Like Platform stability at scale: The multi-tenant SaaS platform maintains its availability SLO across all tenant tiers as the infrastructure grows from its current state toward a globally distributed commercial release. Operational excellence embedded in engineering: Every team shipping to the platform follows a shared production readiness standard, reducing escaped defects and repeated incidents. Automated, scalable operations: Tenant onboarding, deployments, and incident remediation are pipeline-driven, eliminating manual toil and enabling the team to scale without growing headcount at the same rate. Commercial readiness: The platform meets enterprise security and compliance gates, supports consumption-based metering, and can sustain the onboarding velocity required for a commercial launch without operations becoming the bottleneck. What we offer Purpose-driven impact: The opportunity to be a driving force and cloud advocate as we design and build our next generation of service offerings Craft & collaboration: Work alongside experienced engineers in a systems-first culture that values simplicity, maintainability, and clean design. Learning: Continuous growth through hands-on challenges, peer exchange, and exposure to cutting-edge AI and data analytics topics. Flexibility, health and wellbeing: Hybrid working, flexible hours, subsidised sports or yoga courses, physiotherapy, and flu shots at select locations. About us KNIME is a leading AI platform that enables organisations to make sense of their data through intuitive, scalable, and collaborative data science. We empower data professionals and business users alike to build, deploy, and manage AI and data workflows that drive better decisions. Hundreds of global enterprises use the KNIME platform including Citi, Bosch and P&G. KNIME is an equal opportunity employer. We’re all about providing opportunities for different perspectives to come together, where everyone feels included no matter their background.

Responsibilities

The SRE is responsible for automating the deployment and operation of a large-scale SaaS platform using Infrastructure as Code. This includes managing on-call rotations, setting reliability standards, and collaborating with engineering teams to ensure production readiness.