Job Search and Career Advice Platform

Aktiviere Job-Benachrichtigungen per E-Mail!

(Senior) Site Reliability Engineer – Data and ML Platform

Trade Republic

Berlin

Vor Ort

EUR 60.000 - 80.000

Vollzeit

Heute
Sei unter den ersten Bewerbenden

Erstelle in nur wenigen Minuten einen maßgeschneiderten Lebenslauf

Überzeuge Recruiter und verdiene mehr Geld. Mehr erfahren

Zusammenfassung

A leading savings platform in Europe is seeking a Software/System Engineer to enhance production-grade systems and manage critical infrastructure in the cloud. The ideal candidate will have a strong background in system design, knowledge of scaling strategies, and proficiency in tools like Kubernetes and Elasticsearch. This role demands excellent communication skills and a focus on collaborative growth. Join a dynamic team committed to closing the wealth gap for millions in Europe.

Qualifikationen

  • Background in Software/System Engineering with experience in data and computing systems.
  • Understanding of distributed systems orchestration and networking.
  • Proficiency in system design handling scalability and performance trade-offs.

Aufgaben

  • Define reusable patterns and tools for development and operational efficiency.
  • Manage business-critical systems in cloud infrastructure.
  • Work with real-time data streams and various data storage approaches.

Kenntnisse

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

Please note that this position is based in Berlin London or Paris relocation support is provided if required.

THE BEST WORK OF YOUR CAREER

Trade Republic is the largest savings platform in Europe - we operate in 18 countries serving 10 million customers who trusted us with over 150B in assets. But were striving for more.

We have a bold mission to empower everyone to build wealth with easy safe and free access to financial systems. You will have the opportunity to grow your career by collaborating with a team of outstanding talents and state of the art technology to build a lasting positive future for millions.

WHAT ARE WE LOOKING FOR
  • Background in Software / System Engineering with experience building and operating production-grade data and compute intensive systems.
  • Good understanding of distributed systems orchestration and networking.
  • Proficiency in system design handling scaling strategies and balancing trade-offs like availability vs consistency and latency vs throughput.
  • Define reusable patterns and build tools that accelerate development and improve operational excellence and efficiency.
  • Well-rounded understanding of managing business-critical systems in cloud infrastructure following best practices for observability and scalability.
  • Interested in real-time data streams low-latency systems and working with different data storage retrieval and processing approaches.
  • Strong communication and interpersonal skills self-starter with high autonomy and a focus on knowledge sharing and team growth.
WHY YOU SHOULD APPLY NOW

Our culture rewards ownership excellence and high energy. We care deeply about outcomes and hold each other accountable - were here to win and fix one of the largest challenges Europeans face - closing the pension gap and democratising wealth. If this gets you fired up reach out!

We believe its our teams varied identities and backgrounds that make us sharper and stronger. Were committed to creating an environment where everyone feels respected and has equal opportunity to thrive in their careers. For any questions on DEI during the interview process reach out to your recruitment partner.

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

Employment Type : Full Time

Experience : years

Vacancy : 1

Hol dir deinen kostenlosen, vertraulichen Lebenslauf-Check.
eine PDF-, DOC-, DOCX-, ODT- oder PAGES-Datei bis zu 5 MB per Drag & Drop ablegen.