Senior Software Engineer (Consumer) (Recommendations)

Location: Berlin, Germany; hybrid working model with face-to-face collaboration at the Berlin campus 2 days per week

Company

hirify.global operates a local delivery platform across around 65 countries, building technology for vendors, products, recommendations, ranking, and personalised consumer experiences.

What you will do

• Own multiple features in recommendation and ranking services built with Go and Python, from discovery through release and operation.
• Design low-latency serving paths and model-serving integrations for production consumer platforms.
• Make architectural decisions, write RFCs and ADRs, assess system lifecycles, and resolve architecture deficiencies.
• Break ambiguous initiatives into milestones, parallelise work where possible, and optimise observability, scalability, cost efficiency, security, and code quality.
• Handle on-call incidents, resolve vulnerabilities within SLA, and produce quality post-incident reports.
• Mentor engineers, participate in hiring, and collaborate with data scientists, machine learning engineers, product managers, and platform teams.

Requirements

• Strong backend engineering experience in Go and/or Python, building and owning production services.
• Experience with stateful APIs, gRPC/REST integrations, and high-throughput request paths.
• Experience with event streaming using Kafka, Flink, or Pub/Sub; infrastructure as code such as Terraform; and mission-critical services on AWS and/or GCP with Kubernetes.
• Experience operating observability, alerting, and on-call processes in production.
• Experience recommending and evangelising engineering practices and tools, including understanding where agent-assisted development helps or fails and how to review its output.
• Deep knowledge of the frameworks and tools used by the team, applied to critical decisions and problem solving.
• Track record of sound architectural trade-offs, clear communication with engineers and non-engineers, autonomous work on ambiguous problems, and delivery of releasable increments based on business impact.
• Mentoring mindset and excellent written and verbal English.

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.

Culture & Benefits

• Hybrid work with regular face-to-face collaboration in the Berlin campus.
• 27 days of holiday, plus an additional day in the second and third years of service.
• €1,000 educational budget, language courses, parental support, and Udemy Business access.
• Health checkups, meditation, gym support, life and accident insurance, and a corporate pension plan.
• Employee Share Purchase Plan, sabbatical bank, public transportation ticket discount, and digital meal and food vouchers.
• Relocation support and information for moving to Berlin.

Hiring process

• Apply through the hirify.global careers process and prepare for the interview using the provided interview guidance.
• Accessibility accommodations can be requested during the interview process.