DevOps Engineer

Upstream delivers a cloud-based, AI-powered data management platform purpose-built for connected vehicles, smart mobility, and the IoT ecosystem. By leveraging mobility data, Upstream empowers customers with advanced, AI-driven applications across various use cases, including proactive vehicle quality monitoring and detection, cybersecurity detection and response (XDR), misuse detection, usage-based insurance, and more.

Upstream is looking for a talented, hands-on and experienced DevOps Engineer to join our Operations team.

In this role, you will be responsible for ensuring the availability, reliability, and scalability of our production environments, proactively monitoring systems in real time and troubleshooting complex technical challenges. You’ll work with modern cloud-native technologies, help improve operational efficiency, and play a key role in maintaining and evolving our infrastructure.

This is an opportunity to work on a fascinating and challenging product, gain exposure to innovative and diverse technologies, and join a fast-growing company that is leading its field. At Upstream, we invest in our people and support both personal and professional growth.

We’re looking for someone with strong technical skills, a positive mindset and a constant drive for excellence.

This is a full-time, hybrid role based in Herzliya, Israel.

Requirements:

5+ years of experience as a DevOps / SRE Engineer
Strong hands-on experience with Kubernetes, Helm, Docker and GitOps in production environments
Experience working with AWS / Azure / GCP
High-level scripting skills in Python and/or Bash
Experience with Terraform / Terragrunt
Solid understanding of microservices architecture
Experience with monitoring systems (preferably Datadog)
Experience working with Linux systems
Experience with MySQL / PostgreSQL
Experience with OpenShift operators — advantage
Strong troubleshooting skills, positive mindset, service-oriented approach, and ability to learn quickly and work independently

Upstream is an equal opportunity employer. All candidates for employment will be considered without regard to race, color, religion, sex, national origin, physical or mental disability, veteran status, or any other basis protected by applicable federal, state or local law.

Responsibilities:

Implement and operate large-scale Kubernetes and cloud solutions
Build and maintain infrastructure across AWS / Azure / GCP
Monitor customer infrastructure and production environments
Roll out processes for new services and applications
Enforce and maintain cloud and product security standards
Troubleshoot and resolve technical issues in customer environments
Develop and maintain infrastructure automation tools and workflows
Implement automation processes and AI-driven tools to improve operational efficiency