About the Role

Hello Heart is growing, and we are looking for a Cloud Infrastructure Engineer to help build, scale, and secure the systems that power our product. Reporting into our Cloud-Infra Engineering Manager, you will take a lead role in strengthening our infrastructure, improving deployment processes, and supporting the reliability of our cloud environment.

You will partner closely with Engineering, Data, and Security teams based in both the US and Tel Aviv. You will scale production systems , support machine learning and data infrastructure, and improve the tools and processes that help our teams move quickly and safely.

Our Tech Stack: Scala, Python, React Native, AWS, Kubernetes, Nginx, ELK, Prometheus, Kafka, MongoDB, PostgreSQL, Redis, Jenkins, and more.

Responsibilities

• Build, maintain, and scale production-ready cloud infrastructure across AWS and Kubernetes.
• Support the development of machine learning pipelines and a full data lake architecture.
• Improve build automation processes and help move the team from continuous integration to continuous delivery.
• Secure, scale, and operate Kafka clusters on Kubernetes.
• Partner with Engineering and Security teams to improve infrastructure reliability, security, and compliance.
• Develop dashboards, alerts, internal tools, and response processes to identify and address security and reliability risks.
• Improve logging, monitoring, and observability across production systems.
• Support containerized application deployments using Docker and Kubernetes.
• Help evaluate and adopt new tools that improve developer productivity, system reliability, and infrastructure scalability.

Qualifications

• Experienced using AI tools in your daily engineering workflow to accelerate development, troubleshoot systems, and improve operational efficiency.
• 5+ years of experience as a DevOps Engineer, Cloud Infrastructure Engineer, or similar infrastructure-focused engineering role.
• Ideally located in a Central or Eastern Time Zone US state, as well as previous experience working with globally-distributed teams across multiple time zones.
• Production experience with Kubernetes and AWS, or a similar major cloud provider, is required.
• Production experience building and running Docker containers is required.
• Programming experience with at least one of the following languages: Scala, Java, or Python.
• Experience with logging and monitoring stacks such as ELK, Prometheus, or similar tools.
• Experience with continuous integration and continuous delivery processes and tools.
• Deep understanding of production systems, scalable architecture, reliability, and security best practices.
• Experience deploying and managing Kafka clusters and Kafka streams is a strong advantage.
• Experience using AI coding tools, such as Claude Code, is a strong advantage.
• Independent, curious, and excited to learn and apply new technologies in a fast-paced environment.

The US base salary range for this full-time position is $150,000 to $170,000. Salary ranges are determined by role and level. Compensation is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the salary only, and do not include equity or benefits.