Backend Engineer

About us

Trusted by the Fortune 500 and many of the world's largest companies, BeamUP is the world's first Enterprise Facility Intelligence Platform to provide full facility observability and insights for data-driven decision making.‍ The BeamUP platform is a global strategic solution that leverages unified, aggregated facility data and AI to empower physical security, IT and facilities management teams to make better decisions.

Our Mission:

Our mission is to enable enterprises to be more strategic, proactive, and make data-driven decisions to optimize their facility security, IT infrastructure and sustainability operations.

Job Summary:

We are looking for an experienced Backend engineer to join a team of creative and experienced engineers working on state-of-the-art web applications and help us design and build a flexible and scalable system that will allow our business to move fast and innovate. You will be expected to show ownership and responsibility for the code you write, but it doesn't stop there. at BeamUP, you are encouraged to think big and help out in other areas.

Key focuses:

• Design and implement robust APIs and distributed systems to meet business needs.
• Optimize web applications for performance and scale.
• Write high-quality code and tests, prototype solutions, analyze bottlenecks, and resolve production issues.
• Lead and mentor developers, launch initiatives, and research new technologies.
• Design and build tools to help developers deliver reliable features with speed and ease.
• Work closely with product managers, peer engineers, data scientists, and business stakeholders
  
  

• 6+ years of experience as a hands-on software engineer (Typescript, Node.JS, Python)
• Hands-on experience in managing major cloud vendors' infrastructure (AWS, GCP, Azure)
• 6+ years of hands-on experience with designing and implementing reliable and secure distributed web applications and Restful APIs.
• Experience working with Git, CI/CD, and Cloud infrastructure - Docker, AWS, S3, Kubernetes.
• Experience with Data Modelling and non-relational databases.
  
  

• Working with several off-the-shelf tools such as Neo4j, Spark, MongoDB, but often push them past their limits
• Professional experience in machine learning engineering