This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Cloud Infrastructure Engineer in United States.
This role is an exciting opportunity to help scale and secure modern cloud infrastructure supporting AI-driven healthcare technology and mission-critical applications. You will work across cloud platforms, Kubernetes environments, and large-scale production systems to improve reliability, automation, observability, and deployment efficiency. The position combines infrastructure engineering, DevOps practices, and cloud security within a highly collaborative and fast-moving environment. You will partner closely with engineering, data, and security teams distributed across multiple time zones, contributing to systems that directly support advanced machine learning and data operations. The ideal candidate thrives in complex technical environments and enjoys solving infrastructure challenges at scale. This role also offers the chance to influence tooling, deployment strategies, and operational excellence in a rapidly growing organization.
Accountabilities:
- Build, maintain, and optimize scalable cloud infrastructure across AWS and Kubernetes production environments.
- Support and enhance machine learning infrastructure, data lake architectures, and large-scale distributed systems.
- Improve CI/CD pipelines, deployment automation, and infrastructure delivery processes to increase operational efficiency and reliability.
- Deploy, secure, and manage Kafka clusters and streaming systems running in Kubernetes environments.
- Collaborate with engineering, security, and data teams to strengthen platform reliability, scalability, compliance, and system security.
- Develop monitoring dashboards, alerting systems, logging frameworks, and observability solutions to proactively identify operational risks.
- Support containerized deployments using Docker and Kubernetes while maintaining high availability across production systems.
- Evaluate and implement new infrastructure tools and technologies that improve developer productivity and operational performance.
- Participate in troubleshooting, incident response, and ongoing infrastructure optimization initiatives.
Requirements:
- 5+ years of experience in DevOps, Cloud Infrastructure Engineering, Site Reliability Engineering, or related infrastructure-focused roles.
- Strong hands-on experience with AWS, Kubernetes, Docker, and production-grade cloud-native environments.
- Proficiency in at least one programming language such as Python, Scala, or Java.
- Experience with CI/CD pipelines, automation tools, and modern deployment workflows.
- Strong understanding of scalable system architecture, infrastructure reliability, security best practices, and production operations.
- Familiarity with monitoring and logging tools such as ELK, Prometheus, Grafana, or similar observability platforms.
- Experience managing Kafka clusters, Kafka streams, or event-driven architectures is considered a strong advantage.
- Comfortable working with globally distributed teams across multiple time zones in a collaborative environment.
- Experience leveraging AI-powered engineering tools to improve productivity, troubleshooting, and operational workflows is highly valued.
- Independent, proactive, and adaptable mindset with strong problem-solving and communication skills.
Benefits:
- Competitive base salary ranging from $150,000 to $170,000 USD, depending on experience and qualifications.
- Remote-friendly work environment with flexibility and collaboration across global teams.
- Opportunity to work on impactful AI and healthcare-focused technologies with real-world outcomes.
- Equity opportunities and comprehensive benefits package.
- Collaborative and inclusive company culture focused on innovation and continuous learning.
- Exposure to modern cloud-native technologies, machine learning infrastructure, and scalable distributed systems.
- Career growth opportunities within a fast-growing and mission-driven technology environment.
- Supportive team culture that values creativity, curiosity, and ownership.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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