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Delivery Hero (talabat)

Senior Software Engineer, Go - (Global Recommendations and Ranking, Consumer)

Delivery Hero (talabat) is hiring a Senior Software Engineer, Go - (Global Recommendations and Ranking, Consumer) in Berlin, Germany. Level rates it ; you can apply on Delivery Hero (talabat).

Level's read on this job

  • On Level's scale, this software engineer role is Little AI ●○○○: aI is not part of the work.
  • Level classifies it as a senior role.
  • Level lists 904 other open roles at Delivery Hero (talabat).
  • The role was posted in the last few days.

AI in this role

As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in around 65 countries worldwide, powered by tech, designed by people. As one of Europe’s largest tech platforms, headquartered in Berlin, Germany, Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. We push hard, learn quickly and stay human along the way. It’s this wonderful mix of high performance and real community that makes Delivery Hero a place where ambition and belonging grow side by side. If you’re curious, collaborative and ready to dive deep into meaningful work, you’ll fit right in.

Big architecture. Bigger impact. As a Senior Software Engineer, you'll own the services that decide what millions of customers see when they open our apps, from low-latency serving paths to the ranking and model integrations behind them. You'll make the architectural calls, turn ambiguous problems into small releasable steps, and build a team that succeeds even when you're not there.

The engineering teams at the Global Recommendations and Ranking domain build systems that are behind what millions of customers see across the Delivery Hero apps every day, from vendors and products to ranking and personalisation. We build and run the services that serve, rank and orchestrate recommendations for all Delivery Hero brands and platforms, working closely with data scientists, machine learning engineers, product managers and platform teams.

At Delivery Hero, you'll shape the global consumer experience for millions of users. Your work will have a direct impact on how we attract and retain customers, creating data-driven, personalized interactions that keep them coming back. As part of our Consumer Team, you'll enhance customer satisfaction and drive global growth and profitability through innovative projects.

  • Own and drive multiple features in our recommendation and ranking services (Go and Python), from discovery through release and operation, including low-latency serving paths and model-serving integrations

  • Drive architectural decisions on the features you build: assess where each system is in its lifecycle, fix architecture deficiencies early, write clear RFCs and ADRs, and build consensus by laying out pros and cons

  • Break complex, ambiguous initiatives into milestones that deliver impact early and often, and parallelise work where resources allow

  • Raise the bar on observability, scalability, cost efficiency, security and code quality, resolve vulnerabilities within SLA, and handle on-call incidents with quality post-incident reports

  • Mentor less experienced engineers, take part in hiring, and partner with data scientists, machine learning engineers and product managers to bring models and experiments safely into production

  • Contribute to your team's development process by recommending coding standards, frameworks and tools, including agent-assisted engineering, and evangelise the practices that work so your team adopts them

  • Strong backend engineering experience in Go and/or Python, building and owning production services, including stateful APIs, gRPC/REST integrations and high-throughput request paths

  • Experience with event streaming (Kafka, Flink, Pub/Sub) and infrastructure as code such as Terraform, and with operating mission-critical services in production on AWS and/or GCP and Kubernetes, with observability, alerting and on-call processes in place

  • Experience recommending and evangelising engineering best practices and tools in a team, with a clear view of where agent-assisted development helps, where it fails, and how to review its output

  • Deep knowledge of the frameworks and tools your team uses, beyond what is documented, applied to critical decisions and problem solving

  • A track record of sound architectural trade-offs, explained clearly to engineers and non-engineers, and the ability to work autonomously on ambiguous problems, slicing them into releasable increments and judging trade-offs by business impact

  • A mentoring mindset and excellent written and verbal English: your team is stronger because of you and does not need you present to succeed

Nice to have

  • Background in recommendations, ranking, search, personalisation or relevance engineering

  • Experience with ML serving, feature stores, vector databases or real-time feature pipelines

  • Familiarity with A/B testing and experimentation platforms

Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you’re in good shape, then we’re in good shape.

  • 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.

  • 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 and Food Vouchers.

  • Wondering what relocating to Berlin is like? In this article, we’ve put together 10 things you should know about moving to Berlin and how Delivery Hero can support you. You can also visit our relocation hub and check out more information about moving to Berlin.

  • Ready to prepare for your interview? Check out the list of the 5 most common interview questions and answers created in collaboration with our recruiters.

Heads up: exact benefits may look a little different for intern, working student, fixed-term, and part-time roles.

Ready to join our team? If you’re excited to grow, collaborate and be part of the world’s leading delivery platform, we’d love to hear from you. Apply today!

We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you.

We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience—just let us know with an email to our Inclusion Officer at inclusion@deliveryhero.com.

You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.

How we rate this

Senior Software Engineer, Go - (Global Recommendations and Ranking, Consumer) at Delivery Hero (talabat) rates 28 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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