We’re building a safety intelligence platform to prevent workplace accidents before they happen. Backed by highly respected industry leaders and VCs, our AI-powered system helps industrial and infrastructural companies detect, predict, and act on real-world risks.
We’re a small, fast-moving team working at the intersection of AI, computer vision, and real-world safety. Our customers span manufacturing, logistics, chemical, and construction industries. If you thrive in a high-pace, high-responsibility environment and want to make workplaces safer than ever, Buddywise is the place for you.
We are building a platform that processes PetaBytes of Data. We need a Senior Engineer who doesn't just "use" tools, but understands the underlying mechanics of distributed state, clock synchronization, and data consistency
While our primary language is Python, we value polyglot engineers who bring deep architectural patterns from Go, Java, or Rust. If you have built user-facing analytic products or handled massive streaming workloads, we want to talk.
We are specifically looking for candidates who have "been there, done that" with:
Large-Scale Streaming: Experience managing high-cardinality data streams using Kafka, Flink, Spark, or Azure Event Hubs
Analytic Product Engineering: You’ve built systems that power real-time dashboards, complex aggregations, or OLAP workloads
Data Reliability: You know how to handle "exactly-once" delivery semantics and backpressure in a distributed environment.
Architect for Scale: Lead the design of our next-generation streaming and analytics backbone on Azure.
Async Performance: Optimize asynchronous Python services to handle massive concurrent I/O.
Fullstack Delivery: Bridge the gap between heavy-duty backend data processing and the frontend, ensuring our analytic interfaces are as fast as the data pipelines behind them. Integrate the ML models into real time processing pipelines.
Distributed Systems: Have expert knowledge of partitioning, replication, and consensus protocols.
Infrastructure: Show deep experience with Azure
Language Agnostic: Be an expert in at least one major backend language; highly proficient (or ready to lead) in Python.
Have a strong sense of ownership and accountability. You don’t wait to be told or until things are clearly defined. You exemplify resourcefulness, and a bias for action.
Are driven by curiosity about how things work, and how to make them better. While you’re an expert, you’re humble and open to feedback.
Are a clear communicator, both async and in-person. You bring clarity from ambiguity.
Are a great collaborator, working cross-functionally, with engineers, PMs, and customers
High ownership, high impact role in a purpose-driven, high-growth startup.
Opportunity to shape the backend function.
Berlin based hybrid setup with flexibility for focus work.
A committed team environment where your growth is a priority.
The chance to directly influence industrial safety and help employees go home safely every day.
We are:
Obsessed with creating amazing software for our Customers that solves real pains and realises tangible value
Positive by Default and thrive in doing hard things and solving problems
Biased for Action and approach what we do with a sense of urgency
Love to work as a team and Win Together, each contributing skill, fun and care
Can balance Thinking Holistically whilst Executing in the Details
Join us and be a part of reshaping industrial safety with Buddywise! 🚀
Don't meet every single requirement?
Studies have shown that women and people of colour are less likely to apply for jobs unless they meet every single qualification. At Buddywise, we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
We are a software company that understands the value of bringing technology to those who can really benefit from it.
At Buddywise we strive to make workplaces safer by improving and automating safety monitoring and risk mitigation. We utilise computer vision and machine learning to revolutionise how safe even a hazardous workplace can be.
