15 beste Stellen als cloud engineer in olching – aktuell auf Personalsuche

(Senior) Cloud Site Reliability Engineer (Scalability) (m/f/x)
Scalable GmbH —München
- Vollzeit
- Hybrides Arbeiten
Direkt bewerben
Senior Azure DevOps Engineer (m/w/d)
OMMAX GmbH —München
- Azure
- Informatik
- Englisch
DevOps Engineer (m/w/d)
Skaylink —München
- Vollzeit
- Hybrides Arbeiten
- AWS
- Softwareentwicklung
- APIs
- Empfehlungsprogramm
Direkt bewerben
DevOps Consultant Kubernetes (m/w/d)
Devoteam Innovative Tech Germany —München
- Per E-Mail
- Hybrides Arbeiten
- DevOps
- Analysefähigkeit
- Scripting
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(Senior) DevOps Engineer w/m/d
Computacenter —München
- Online-Bewerbung
- Azure
- Informatik
- AWS
- Flexible Arbeitszeiten
(Senior) DevOps Platform Engineer w/m/d
Computacenter —München
- Online-Bewerbung
- Informatik
- DevOps
- Flexible Arbeitszeiten
Solution Architect - Agile Teams (w/m/d)
Altium —München
- Vollzeit
- Bachelor
- Mit Reiseanteil
- Elektrotechnik
- Kostenloser Parkplatz
Direkt bewerben
Platform & Software Engineer – DevOps & Java ( (m/w/d)
SBK Siemens-Betriebskrankenkasse —München
- 73.000 € – 94.000 € pro Jahr
- Vollzeit
- Informatik
- Softwareentwicklung
- Gleitzeit
- Weiterbildungsprogramme
1 Tag
Lead Mulesoft System Engineer (m/w/d)
E.ON Energie Deutschland GmbH —München
- Teilzeit
- Hybrides Arbeiten
- Mitarbeiter-Rabatt
- Weiterbildungsprogramme
6 Tage
(Senior) MLOps Engineer (m/w/d)
OMMAX GmbH —München
- Informatik
- Englisch
- Master
DevOps Engineering Lead (all genders)
Avelios Medical —München
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- Informatik
- Flexible Arbeitszeiten
Platform Engineer - Neuraverse (Mensch)
Neura Robotics —München
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- Englisch
- AWS
- Softwareentwicklung
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Senior Platform / DevOps Engineer (m/f/d) — CI/CD, Build Systems & Developer Environments
autonomous-teaming —München
- Vollzeit
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DevSecOps Engineer – AI Platform
CompuSafe Data Systems AG —München
- 82.000 € – 90.000 € pro Jahr
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- Informatik
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
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Internship - AI Engineering & MLOps (f/m/div)
Infineon Technologies AG —München
- Informatik
- Master
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8 Std.

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(Senior) Cloud Site Reliability Engineer (Scalability) (m/f/x)

Scalable GmbH -
München

Direkt bewerben

Details zur Stelle

Vollzeit

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Vollständige Stellenbeschreibung

Company Description

Scalable Capital is a leading digital investment and banking platform with a full banking licence, empowering people across Europe to shape their own finances. Scalable Broker makes it easy and affordable for clients to invest professionally in stocks, ETFs, cryptocurrencies, and derivatives, as well as set up savings plans. Scalable Wealth, the digital wealth management service, offers clients professional investment in ETF portfolios, and is also adopted as a white-label solution by banks and other B2B partners. The company’s offerings are rounded off by attractive interest rates, loans, and private equity. With the European Investor Exchange, Scalable Capital offers an exchange specifically for retail investors. Over one million clients have already entrusted more than €50 billion to the platform.

Founded in 2014, Scalable Capital now employs over 700 people across Munich, Berlin, Vienna, Milan, and London. Together with the founding and management team, including Erik Podzuweit and Florian Prucker, they are working on a new generation of financial services.

Visit our finance blog or check out our Social Media channels to find out what our Expert Teams have to say.

Our Company Values guide us every day in how we work and collaborate. To learn more about them, you can find our values here (English).

Job Description

Our team's mission is to ensure that teams can scale up their services while being performant, reliable and cost optimised through self-service tooling and transferring best-practices for observability, load-testing, services discoverability, chaos engineering and FinOps.

Scalable Capital was built in the cloud from day one. Our services currently run on various AWS services like ECS, Fargate and Lambda and are distributed across multiple accounts. We embrace a DevOps culture where the development teams manage their CI/CD pipelines and cloud infrastructure for their services themself. Our Scalability Engineering Team focuses on providing everything necessary to ensure Reliability and Scalability of our services and storages while being cost efficient. This includes solutions for Monitoring, AutoScaling, Load Testing, Chaos Engineering and FinOps.

Shape the way how Scalable runs microservices in the most performant, secure and cost efficient way.
Collaborate with cross-functional teams to identify and understand scalability requirements for our platform, both in terms of user growth and increasing data volume.
Design and rollout Monitoring best practices in Datadog including SLI, SLO and SLAs
Research and develop service and storage improvements by using serverless technologies and optimise our services and CICD to optimise scalability, cost and performance
Develop and maintain internal tooling around Monitoring, Developer Portal and Load Testing
Mentor and enable our software development teams to further foster our DevOps culture by educating them and providing reusable and unified building blocks which can be used to improve scalability, reliability and performance of existing and new services
Stay up-to-date with the latest industry trends, tools, and techniques related to scalability and performance engineering.
Design and implement best practices around auto scaling of our infrastructure
Run chaos engineering experiments to improve resilience of our services

Qualifications

Multiple years of experience with AWS and infrastructure as code (preferably Terraform)
Solid experience in Monitoring, Container Orchestration and Microservice setups is required
Good working knowledge with Python, at least one additional general purpose programming language (Preferably Java/Kotlin or JavaScript/Node.js) and build automations tools
Solid understanding of scalable system design principles, distributed systems, and cloud technologies
Experience with GitHub Actions and Jenkins would be beneficial
A passion for automating, improving processes and working together with other developer teams
A degree in a relevant field of study (e.g. computer science, engineering, sciences) or work experience in a role that typically requires a university degree
Full professional proficiency in English and the ability to communicate concisely in an international English-speaking environment
Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.

Additional Information

Be part of one of the fastest-growing and most visible Fintech startups in Europe, creating innovative services that have a substantial impact on the lives of our customers
Work with an international, diverse, inclusive, and ever-growing team that loves creating the best products for our clients
Work from our centrally located offices in the heart of Munich or Berlin, nestled in lively neighborhoods filled with vibrant restaurants, cozy cafés, and a wide range of convenient amenities or choose to work remotely within Germany (if eligible for the job)
Be productive with the latest hardware and tools
Learn and grow by joining our in-house knowledge sharing or career development sessions and spending your individual Education Budget
Learn and experience German culture first hand by joining our free German language classes
International relocation support is provided if required
Flexible vacation policy and the opportunity to work from abroad
Benefit from an attractive compensation package and from the company pension scheme
Monthly contribution of 50% for the ‘Deutschland Jobticket’
Say goodbye to order commissions and say hello to your complimentary subscription of Scalable Capital's PRIME+ Broker
Enjoy flexible and discounted sports activities with Urban Sports Club

Direkt bewerben

Erweiterte Suche

cloud engineer Jobs in olching

(Senior) Cloud Site Reliability Engineer (Scalability) (m/f/x)

Senior Azure DevOps Engineer (m/w/d)

DevOps Engineer (m/w/d)

DevOps Consultant Kubernetes (m/w/d)

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(Senior) DevOps Platform Engineer w/m/d

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DevSecOps Engineer – AI Platform

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