6 reasons to work @ Beamy 🔥

• Work with the best technology and the best technologists.
• Be a strong voice in the product development lifecycle.
• A key role within our organization with the opportunity to be a decisive player in transitioning Beamy from startup to scale up, while being part of the biggest startup campus of the world (indeed, we are located @ Station F)
• Have a wide scope of responsibilities : take part in the architecture design process, develop and release new features, meaning a lot of opportunities to learn.
• Attractive salary and benefits package (starting from 48K€ for a junior engineer + stocks options + benefits)
• Full ownership and strong autonomy, free of micro-management.

How we work ⚙️

• We build a tech product, by tech people, for tech customers.
• You’ll be in contact with peers: developers, product engineers, designers, data engineers, business teams.
• We work with a scrum workflow: sprint planning, 2 week sprints, daily meetings, sprint reviews, sprint retrospectives… We demonstrate the work accomplished during demos at the end of each sprint.
• Communication, peer programming and reviews are important for the team.
• We work remotely most of the time : only 2 days per sprint are required to be worked on-site.

Your role 👉

We’re looking a Data Ops Engineer to help us build and develop the data architecture allowing Beamy to offer its users an ever more efficient service. You will :

• Build and maintain the Beamy Data architecture ;
• Guarantee the maintainability and scalability of the various components by relying on the services of the Beamy cloud provider and all of DevOps best practices ;
• Adapt the technical stack to anticipate user needs and the limitations of existing systems ;
• Collaborate with our Machine Learning Engineer and developers in order to develop future features, driven by Data, within Beamy product ;
• Participate in the improvement of the team and its agile rituals.
• Design, develop and maintain robust and scalable data flows, from R&D to production.
• Design and develop tools to ensure the quality of data flows
• Industrialize and automate Data processes with a CI / CD approach
• Ingesting clients datas in our solution

Tech environment 🛠

Github, Docker, Kubernetes, Helm, Azure, Google Cloud Platform, Terraform, Python, Pyspark.

Team spirit 👨‍👩‍👦‍👦

• We have people from different horizons, cultures and backgrounds. There are several channels on slack that you can join to talk about different subjects: wellness, food, sports, fun and random things. We want our teams to be inclusive and diverse.
• We have a product and tech oriented culture : everybody understands each other and speak the same language.
• We’re still a small team with a huge solidarity, helping each other is always a priority.
• We regularly organize team events with the entire team, we get on very well and like to spend time together.

About you 🤩

• You have at least 2 years of experience in software or data engineering using Python.
• You have a strong interest in innovation, like to take initiatives, and continuously check on the latest technology trends.
• You enjoy big human and technical challenges, and you want to hack a market (joining an early stage startup is more than a job, it’s an adventure!).
• You give a lot of importance to team spirit.
• You have an entrepreneurial spirit, are highly proactive, and are not scared to take on topics you do not master.

• Introductory call with Romane, our HR ;
• Remote technical evaluation ;
• Lifelike challenge and interview with Tahir, our Head of Engineering ;
• Half-day of immersion at Station F and team-fit validation ;
• Reference check.