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(Senior) Cloud Site Reliability Engineer (Scalability) (mfx)

Scalable GmbH

Berlin

Remote

EUR 60.000 - 80.000

Vollzeit

Gestern
Sei unter den ersten Bewerbenden

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Zusammenfassung

A leading fintech startup in Berlin is seeking an experienced engineer to optimize microservices and enhance scalability. The role demands strong AWS knowledge, proficiency in infrastructure as code, and collaboration with cross-functional teams to implement best practices. In return, the company offers competitive compensation, flexible remote work options, and opportunities for professional growth.

Leistungen

Attractive compensation package
Flexible vacation policy
Educational budget for personal development
Free German language classes
Monthly contribution for public transport

Qualifikationen

  • 4 years of experience with AWS and infrastructure as code.
  • Good working knowledge with Python and at least one additional programming language.
  • Full professional proficiency in English.

Aufgaben

  • Shape the way how microservices are run efficiently.
  • Collaborate with teams to identify scalability requirements.
  • Design and implement best practices around auto-scaling.

Kenntnisse

Kubernetes
Continuous Improvement
Elasticsearch
Go

Ausbildung

Degree in a relevant field of study

Tools

Terraform
GitHub Actions
Jenkins
Jobbeschreibung

Our teams 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 themselves. 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, auto‑scaling, 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 CI/CD 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
  • 4 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 and at least one additional general‑purpose programming language (preferably Java, Kotlin, JavaScript or Go) and build automation 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.

Remote Work: No

Employment Type: Full‑time

Key Skills
  • Kubernetes
  • FMEA
  • Continuous Improvement
  • Elasticsearch
  • Go
  • Root cause Analysis
  • Maximo
  • CMMS
  • Maintenance
  • Mechanical Engineering
  • Manufacturing
  • Troubleshooting

Department / Functional Area: Engineering

Experience: years

Vacancy: 1

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