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HYDROGRID

Senior Backend Developer (m/w/d)

成为HYDROGRID在奥地利维也纳的高级后端开发人员。使用Python和PostgreSQL开发docker化的网络服务,并支持机器学习技术的数据基础设施。期待在多元化团队中工作,并为可再生能源的创新解决方案做出贡献。
HYDROGRID
HYDROGRID
维也纳,奥地利   灵活   全职   EUR 75k–85k yearly  UTC+01:00   51-100   25 天前

HYDROGRID

公司概况

HYDROGRID

奥地利维也纳

2016

商业模式

可再生能源

水电站优化和管理

软件解决方案和咨询服务

地点与地理

奥地利、德国、瑞士、意大利、法国

公司文化

他们的使命是通过智能化的水电管理来推动可再生能源的使用。

他们提供一个创新和协作的工作环境,鼓励员工提出新想法。

他们重视员工的职业发展,提供培训和进修机会。

活动与项目

他们正在进行多个水电站的数字化转型项目。

开发了基于云的水电管理平台。

致力于减少水电站的碳足迹。

职业机会

软件工程师、项目经理、数据分析师

提供灵活的工作时间、健康保险和职业发展支持。

联系信息

LinkedIn

HYDROGRID 职业机会


最后更新于 2025-01-31 | 报告问题

Job Description

We are looking for a Senior Backend Developer (f/m/x) driven by the quality and pragmatism of their work. Eager to work in a fast-paced technology scale-up, share their knowledge and experience with our team, and continue their own development sparring with colleagues.

Key goals

  • Develop dockerized web services in Python (Flask, SQLAlchemy), PostgreSQL, Kubernetes & Helm.
  • Support research engineers with data infrastructure and data pipelines for our latest ML tech.
  • Collaborate with colleagues from frontend, backend, optimization and ML.
  • Drive and own feature implementation for in-time delivery.
  • Deliver well-tested production components using a pragmatic choice of best practices.

Your profile

  • At least 6 years’ professional experience delivering scalable and maintainable backend applications.
  • Experience with event-based architectures & message brokers (e.g. Kafka, NATS, RabbitMQ).
  • Experience with Python, or similar dynamically typed stacks and strong motivation to learn Python.
  • Solid understanding of software design for data-manipulation and distributed systems.
  • Excellent communication in English and the ability to work in an agile, cross-functional environment.

Differentiators/nice-to-haves

  • (Big) Data (Platform) engineering experience.
  • DevOps/ML-Ops experience (e.g. MLFlow).
  • Previous experience collaborating and supporting data / optimization / machine learning engineers.
  • Orchestration and ETLs tech (e.g. Spark, Delta Lake, Airflow, Argo Workflows, Celery, Luigi, Dask).

Why us?

At HYDROGRID, we transform renewable power plants into ‘smart power plants’ that reliably and intelligently deliver energy on demand to enable grid balancing with purely green energy.

  • Climate Impact – Hydro power delivers 60% of all renewable energy worldwide and will remain by more than 10x the largest source of grid-scale storage way past 2035. HYDROGRID unleashes this huge potential with the power of digitalisation.
  • Exciting Technology – Our SaaS product ‘HYDROGRID Insight’ solves complex optimisation problems and controls hydro power plants around the globe in real-time, similar to autonomous driving for cars. What could possibly be more cool than that?
  • International – We are currently active in 12 countries on 3 continents with ambitions to expand further. Our team counts 17 nationalities.
  • Team of A-Players – We consider the #HYDROGREAT team to be our most important asset and it shows in the positivity, spirit and excellence of every single team member.
  • Strong Growth & Huge Potential – HYDROGRID has proven Product-Market-Fit in 12 Countries with rapid growth and addresses a largely untapped 25B cARR market.
  • Backed by Top Investors – HYDROGRID closed its 8M USD Series A in November 2023 backed by top investors who are eager to support our further growth. More: https://hydrogrid.ai/press-series-a/

Learn all about HYDROGRID Insight in 2 minutes here: https://www.hydrogrid.ai/#1

Salary

We offer market conform salaries with appropriate payment based on individual skills and experience. For this position, for candidates with 8+ years’ experience and fulfilling the above-mentioned must-haves & majority nice-to-haves, we envision a yearly (fulltime) salary ranging 75,000 to 85,000 EUR.

关于这个角色

2025年1月7日

全职

公司

HYDROGRID

2025年3月25日

灵活

EUR 75k–85k yearly

  •  维也纳,奥地利

At least 6 years

UTC+01:00

立即申请

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