Upwind is a next-generation Cloud Security Platform that leverages runtime context to identify and prioritize critical risks, providing precise insights and efficient cloud security management. Unlike traditional tools, Upwind uses runtime data proactively for risk prioritization and posture insights, ensuring teams focus on what truly matters. With industry-leading efficiency and eBPF-powered sensors, Upwind delivers comprehensive capabilities, including agentless cloud posture discovery, real-time threat protection, and integrated API security. From misconfigurations to malware defense, Upwind ensures end-to-end, cost-effective cloud infrastructure protection. At Upwind, you’ll have the opportunity to think creatively, explore new ideas, and use your skills to make a meaningful impact on our growth.
We are looking for an experienced Software Engineer to join our great Backend Engineering team.The team faces complex engineering issues on a daily basis, both solving new challenges and constantly improving the existing solutions. We work with all major cloud providers (AWS, GCP, Azure) and use cutting-edge technologies such as Kubernetes, Docker, Neo4j, ElasticSearch, Redis, TimescaleDB, RabbitMQ, and more.
Responsibilities
- Responsible for the entire lifecycle of various short-life projects, from initial design and development to deployment, monitoring and maintenance in a production environment
- Performing reliability and performance analysis on Golang / Java based applications
- Contributing to technical and architectural designs, performing capacity planning, defining SLOs and working with other teams to implement
- Conducting design and code reviews as part of a wider engineering group
- Interfacing with other teams (e.g. Frontend, DevOps, Product) to deliver best-in-class features
Requirements
- Bachelor of Science in Computer Science/Software Engineering or related field
- 1+ years of experience with Backend Engineering in a high-level programming language (e.g. ideally Golang and/or Java)
- Experience with cloud platforms and products (e.g. AWS, GCP and Azure)
- Experience implementing data-intensive systems (databases, event systems, messaging systems, etc)
- Experience with continuous integration and deployment (CI/CD)
- Experience with microservices based architecture
