Cloud Infrastructure Engineer

Hello Heart

Cloud Infrastructure Engineer building, scaling, and securing cloud infrastructure for Hello Heart's AI health platform. Collaborating with product and engineering teams to enhance service reliability.

Posted 5/21/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $150,000 - $170,000 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudDockerJavaKafkaKubernetesPrometheusPythonScala

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Remote work options

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AWSKubernetesDockerScalaJavaPythonELKPrometheuscontinuous integrationcontinuous delivery

Soft Skills

independentcuriousexcited to learnteam collaborationproblem-solving