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 DevOps Engineer to join our team. Our DevOps team collaborates closely with every engineering unit within Upwind, delivering CI/CD and scalable infrastructure for all Upwind features. We leverage valued OSS solutions and employ a modern tech stack, including Kubernetes, Terraform, Argo, Helm, VictoriaMetrics, Neo4j, ElasticSearch, Redis, TimescaleDB, RabbitMQ, and more.
Responsibilities:
Take part, end to end on all features within upwind’s infrastructure, CI\CD pipelines and product features
Be part of our product’s architectural and infrastructure design, examine and implement new cloud technologies, and open-source tools to improve the delivery and availability of the product.
Plan and push to scale in DevEx and infrastructure efforts
Be responsible for stable and scalable execution of product feature's infrastructure
Monitor and maintain Production infrastructure that makes Upwind's magic happen.
Requirements
+3 years of experience as a DevOps engineer on a production high-scale distributed system, working in a Linux environment.
Hands-on experience with containerized environments - Kubernetes and its OSS ecosystem is used all over Upwind’s infrastructure.
Experience with maintaining and scaling various database, and queueing infrastructures (Elasticsearch, MySql, Neo4j, Postgres (Timescale), RabbitMQ, Redis or similar technologies)
The mindset of automation - push to automate as many of manual processes as possible
In-depth knowledge of build/release systems, CI/CD pipelines. (Github actions, ArgoCD)
Proven, hands-on experience with infrastructure as code in production environments (Terraform, Terragrunt,CDK etc..)
Proven hands-on experience with Helm templating language
Scripting/programming skills with Python/Bash/Go.
An innovative approach, with the ability to quickly learn technologies, and implement cutting edge technologies
A strong sense of ownership and accountability
Nice to have:
Deep knowledge of working with Prometheus monitoring stack (Grafana, AlertManager, Victoria Metrics)
Hands on experience with multiple cloud vendors
