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Software Engineer

Netflix - 1d ago

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Senior Software Engineer

Reddit - 4d ago

Senior Software Engineer (Machine Learning) - Quick commerce

AI Summary ✨

Requirements

  • Expert Proficiency in Go & Python: 4+ years of professional software development experience, with a focus on building high-performance, concurrent backend services in Go and integrating with data/ML libraries in Python.
  • System Design: Proven experience designing and implementing new, scalable applications from scratch (e.g., gRPC services, GraphQL).
  • Streaming technologies: Experience with high-throughput data streaming technologies (e.g., Kafka, Pub/Sub).
  • Technical Evaluation: Experience in technical explorations to evaluate technologies, conducting comprehensive pros and cons analyses, and proposing solutions for complex system design challenges.
  • DevOps Practices: Experience with CI/CD pipelines and Infrastructure as Code (Terraform or equivalent).
  • Containerization: Expertise with containerization and orchestration tools like Docker and Kubernetes.
  • Communication Skills: Fluency and clarity in English communication, both written and verbal.

Nice to Haves

  • Strong conceptual understanding of the MLOps lifecycle, including model serving, monitoring, and pipeline orchestration.
  • Prior hands-on experience in ML Engineering or MLOps, including tools like Metaflow, MLflow, Argo Workflows, or Cloud Notebooks.
  • Experience in deep-diving into existing complex systems for performance investigations and improvements.

What You'll Be Doing

  • Scale and Perform: Architect and build solutions at scale, optimizing for low-latency performance and high efficiency in production.
  • System Ownership: Take end-to-end ownership of the backend serving layer, from design through deployment and maintenance.
  • Collaborate and Optimize: Work closely with Data Scientists, Analysts, and Data Engineers to understand needs and build solutions that optimize their workflows and transition models to production.
  • Innovate and Suggest: Proactively suggest how the team can leverage new technologies and architectures to support new use cases.
  • Leverage Cloud: Utilize modern technologies and public cloud infrastructure to build highly available systems for multiple teams using CI/CD and Infrastructure as Code.

Perks and Benefits

  • Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week.
  • We offer 27 days holiday with an extra day on 2nd and 3rd year of service.
  • We will support you in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support, and access to the Udemy Business platform to explore a variety of online courses.
  • Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Gym & Bicycle Subsidy.
  • Cash. Dough. Cheddar. Whatever you call it, we’ll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan.
  • The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts. Courses.
Apply here
Delivery Hero logo

Delivery Hero

Berlin, Germany

Experience: Senior
Posted: December 4, 2025
Docker
Golang
Graphql
Kubernetes
Python
Terraform
backend

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