20 beste Stellen als site reliability engineer observability in berlin neukölln – aktuell auf Personalsuche

Site Reliability Engineer
deepset —Berlin
- Vollzeit
- Homeoffice
- Master
- AWS
- Machine Learning
- Flexible Arbeitszeiten
Direkt bewerben
Site Reliability Engineer (f/m/d) – Observability & Internal Tools
smartclip Europe GmbH —Berlin
- Homeoffice
- AWS
Senior Site Reliability Engineer - Observability (x/f/m)
Doctolib —Berlin
- Vollzeit
- Azure
- Java
- AWS
Direkt bewerben
Site Reliability Engineer
Zattoo —Berlin
- Bereitschaftsdienst
- DevOps
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
(Senior) Cloud Site Reliability Engineer (Scalability) (m/f/x)
Scalable GmbH —Berlin
- Vollzeit
- Hybrides Arbeiten
- Systemdesign
- Java
- AWS
Direkt bewerben
Site Reliability Engineer - Data Platform
N26 —Berlin
- Bereitschaftsdienst
- AWS
- Kommunikationsfähigkeit
- Python
- Umzugskostenzuschuss
- Homeoffice-Möglichkeit
Senior Site Reliability Engineer (SRE / Backend) f/m/d
nilo —Berlin
- Bereitschaftsdienst
- Hybrides Arbeiten
- DevOps
- AWS
- APIs
3 Std.
Senior Site Reliability Engineer / Cloud Operations Engineer (m/f/d)
Thales —Berlin
- Vollzeit
- Forschungserfahrung
- Scripting
DevOps Engineer (w/d/m)
EWE Go GmbH —Berlin
- Vollzeit
- DevOps
- AWS
- JavaScript
- Homeoffice-Möglichkeit
8 Tage
Senior DevOps Engineer (m/w/d)
Collaboration Betters The World GmbH —Berlin
- 75.000 € – 95.000 € pro Jahr
- Hybrides Arbeiten
- Azure
- Informatik
- DevOps
- Employee Assistance Program
- Weiterbildungsprogramme
Direkt bewerben
Senior DevOps Engineer / SRE (m/f/d)
voize —Berlin
- Vollzeit
- Homeoffice
- AWS
- Erfahrung mit Netzwerken
- Linux
- Flexible Arbeitszeiten
Senior Platform Engineer (f/m/d)
bunch —Berlin
- Vollzeit
- DevOps
- AWS
- Flexible Arbeitszeiten
Senior DevOps Engineer, Infrastructure
Rivian and Volkswagen Group Technologies —Berlin
- Vollzeit
- DevOps
- Softwareentwicklungszyklus
Senior Product Engineer (TS/NodeJS/Vue)
n8n —Berlin
- Vollzeit
- Homeoffice
- JavaScript
- APIs
- Softwareentwicklungszyklus
- Lebensversicherung
DevOps Engineer (f/m/d)
Verwaltungssprung GmbH —Berlin
- Hybrides Arbeiten
- Informatik
- DevOps
- Scripting
Direkt bewerben
Backend Engineer
Clera —Berlin
- 70.000 € – 110.000 € pro Jahr
- Vollzeit
- Master
- Rechnungswesen
Direkt bewerben
4 Tage
AI Infrastructure & Platform Operations Engineer (remote in the EU)
Mirantis —Berlin
- Vollzeit
- Homeoffice
- AWS
- Machine Learning
- Erfahrung mit Netzwerken
Direkt bewerben
Senior Sales Engineer (remote, Europe)
Checkly —Berlin
- 115.000 € – 150.000 € pro Jahr
- Vollzeit
- Homeoffice
- Vertrieb
- Künstliche Intelligenz
9 Tage
Sr Cloud Engineer | Infrastructure & Networking | Europe remote
n8n —Berlin
- Vollzeit
- Homeoffice
- Azure
- AWS
- Erfahrung mit Netzwerken
- Lebensversicherung
Staff Platform Engineer (all genders)
GROPYUS —Berlin
- Windows
- Mit Reiseanteil
- Linux
- Homeoffice-Möglichkeit
Direkt bewerben

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site reliability engineer observability jobs near berlin neukölln

Site Reliability Engineer

deepset
Berlin

Direkt bewerben

Details zur Stelle

Vollzeit

Leistungen

Flexible Arbeitszeiten

Qualifikationen

CI/CD
Kubernetes
Master
AWS
Machine Learning
Terraform
GitHub
Künstliche Intelligenz

Vollständige Stellenbeschreibung

TL;DR

We're hiring a Site Reliability Engineer to own and evolve deepset's cloud and customer infrastructure end to end. You'll work across SaaS, private cloud, and on-prem environments to make our self-hosted platform production-ready, drive CI/CD and GitOps maturity, and reduce complexity at scale. Your work will directly shape how deepset's AI platform is built, deployed, and scaled for our own cloud and for customers running it in their own environments.

Why deepset

At deepset, we’re making sovereign AI accessible to every organization. With Haystack, thousands of developers build advanced AI applications, while our Enterprise platform helps teams scale across use cases, users, and environments. We’re remote-first, flexible, and built on trust and ownership. You’ll work alongside strong technical talent, take on meaningful challenges, and help turn complex AI into solutions that are practical, reliable, and ready for the real world.

What you will do

You won’t just “keep things running” - you’ll help define how our platform is built, deployed, and scaled across cloud and customer environments.

Build and operate real-world infrastructure. Design, configure, and evolve infrastructure that runs both in our cloud and inside customer environments (SaaS, private cloud, on-prem).
Make self-hosted production-ready. Help us deliver a production-grade, self-hosted platform that can be deployed on any Kubernetes setup in weeks - not months.
Drive automation & platform maturity. Improve CI/CD pipelines, GitHub workflows, and GitOps setups so teams can ship faster with confidence.
Reduce complexity and cost. Continuously simplify systems and optimize infrastructure spend without compromising performance or reliability.
Shape how we build. Champion best practices in reliability, scalability, and security across the organization, not as rules, but as working systems.

Requirements

2-5 years of experience working with large-scale production infrastructure
Experience with distributed or service-oriented architectures
Hands-on expertise with:
- AWS
- Kubernetes
- CI/CD and GitOps (e.g. ArgoCD)
Working knowledge of Infrastructure as Code (Terraform preferred)
Solid troubleshooting skills - you can debug across systems, not just within one layer
A pragmatic mindset: you balance speed, simplicity, and reliability
Ownership and accountability - you take responsibility for systems end-to-end
Ability to work independently while staying aligned with the team’s goals

Nice to have

Familiarity with observability stacks (e.g. Datadog, Prometheus)
Experience optimizing cloud costs at scale
Interest or experience in Machine Learning / LLM systems
Experience improving developer experience and platform tooling using AI agents
Contributions to SRE practices like postmortems, SLIs/SLOs, and reliability engineering culture

Benefits

Remote-first setup with flexible hours & tech of your choice
30 days vacation + extra days for family sick leave
Competitive salary & stock options for every team member
Monthly sports & mental health support allowance with Oliva
Annual learning & development budget
Monthly team socials & in-person meetups
Dog-friendly Berlin HQ

About us

Founded in 2018, deepset builds open and enterprise-grade tools that help teams build AI with purpose. From Haystack, our open-source framework, to the Haystack Enterprise Platform, we give developers and organizations the building blocks to solve complex, high impact challenges with AI with full control, transparency, and sovereignty. Backed by GV and Balderton, we’re growing the world’s production AI community and customer base solving challenges too critical to get wrong.

Direkt bewerben

Erweiterte Suche

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Sr Cloud Engineer | Infrastructure & Networking | Europe remote

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Ich möchte aktuelle Job-E-Mails für Stellen als site reliability engineer observability in berlin neukölln erhalten

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