17 beste Stellen als software engineer in ludwigsfelde, bb – aktuell auf Personalsuche

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GROPYUS —Berlin
- Microsoft Excel
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Interhyp AG —Berlin
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software engineer jobs near ludwigsfelde, bb

(Senior) Site Reliability Engineer (m/f/d) in Berlin or Konstanz

KNIME AG
Berlin-Kreuzberg

Jetzt bewerben

Details zur Stelle

Vollzeit

Leistungen

Flexible Arbeitszeiten

Qualifikationen

Azure
Go
Kubernetes
Relationale Datenbanken
Java
Datenbanken
AWS
PostgreSQL
Verteilte Systeme
Terraform
Scripting
Erfahrung mit Netzwerken
S3
Linux
SaaS
Python
Identitätsmanagement

Vollständige Stellenbeschreibung

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

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.

Jetzt bewerben

Erweiterte Suche

software engineer Jobs in ludwigsfelde, bb

(Senior) Site Reliability Engineer (m/f/d) in Berlin or Konstanz

Solution Engineer (m/w/d) für Betrieb kritischer Infrastruktur

Operations Lead (m|w|d) - Mobile Application Development

IT BACKEND ARCHITECT (M/W/D)

Working Student (m/f/d) Product Management

Engineering Lead (f/m/d)

Product Manager (all genders)

Senior Fullstack Developer (m/w/d)

Senior QA Engineer (m/w/d)

Senior AI Software Engineer (m/w/d)

DevOps Engineer - Network & Systems (m/w/x)

Support Specialist in Tech (m/w/d)

Senior Software Engineer / Product Engineer (m/w/d)

DevOps / CloudOps Engineer mit IAM Erfahrung (m/w/d) 60-100%

Senior Platform / DevOps Engineer (m/w/d)

Senior Data Engineer (w/m/d) – Data Integration, Data Warehouse

Technical Product Manager (m/w/d) – Softwareentwicklung & interne Systeme

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