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7 дней назад

Software Engineer (Python)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Software Engineer (Python): Building and scaling backend services, data products, and processing pipelines for satellite analytics with an accent on geospatial data, observability, and service reliability. Focus on improving Kubernetes-based production systems, detecting pipeline and contract failures, and designing safer releases through testing, monitoring, and staged rollouts.

Location: Berlin, Germany; hybrid work model with flexible working hours.

Company

hirify.global develops satellite analytics applications using deep learning, geospatial data, and other data sources to help companies and governments fight deforestation, monitor critical infrastructure, and respond to natural disasters.

What you will do

  • Own the maintenance, performance, scalability, data models, APIs, and storage of core Python backend services.
  • Maintain visibility into the health of the end-to-end product pipeline and ensure regressions and failures are detected early.
  • Build monitoring, alerting, automated quality checks, and cross-service testing practices.
  • Stabilize service interfaces by identifying schema drift, contract failures, and version incompatibilities.
  • Improve release safety through backward compatibility, feature flags, staged rollouts, and workflow automation.
  • Turn system behavior into improvement work, contribute to planning, and mentor engineers through code review and pairing.

Requirements

  • At least 5 years of experience building and operating production backend services or data pipelines in Python.
  • Experience maintaining and scaling production services, including performance work, observability, testing, and incident handling.
  • Strong relational database skills and confidence with API design and service-to-service contracts.
  • Hands-on experience deploying and operating services on Kubernetes, including troubleshooting and incident response.
  • Regular practical use of AI-assisted coding in day-to-day engineering work.

Nice to have

  • Geospatial data experience, including PostGIS or similar technologies.
  • Experience with raster processing or satellite imagery.
  • Spec-driven or test-driven development, including agentic approaches.
  • Experience with workflow orchestrators such as Prefect or Airflow.
  • Experience running workloads on AWS.
  • Experience working across multiple teams on shared interfaces or contracts.

Culture & Benefits

  • Flexible working hours and a hybrid work model focused on work-life balance.
  • Career development autonomy, initiative, and freedom to be creative and bold.
  • Overtime is limited to necessity and offset with time off and rest.
  • Collaborative learning environment with internal workshops, knowledge-sharing sessions, journal clubs, and hackathons.
  • Berlin Kreuzberg office with free fruit, nuts, and drinks; Urban Sports membership, BVG subsidy, corporate pension program, and potential employee stock options.
  • International environment with more than 30 nationalities and an emphasis on improving diversity in engineering.

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