Cloud Engineer

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Cloud Engineer in the United States.

This role offers the opportunity to design, build, and maintain cloud-hosted services that power innovative SaaS platforms in healthcare. The Cloud Engineer will work across infrastructure, platform, and security teams to ensure that cloud deployments are scalable, reliable, and secure. You will be responsible for developing APIs, managing containerized workloads, automating CI/CD pipelines, and optimizing cloud architectures. The role emphasizes hands-on technical expertise, collaboration across cross-functional teams, and a focus on operational excellence. You will contribute to building robust cloud infrastructure that enables efficient data management and seamless service delivery. This position is ideal for someone who thrives in a dynamic environment, enjoys solving complex technical challenges, and is passionate about cloud technologies.

Accountabilities

• Design, develop, and maintain cloud-native services, including RESTful APIs and serverless components
• Build, manage, and deploy Docker containers, ensuring best practices for security, cost, and performance
• Author, maintain, and version Helm charts for Kubernetes/OpenShift deployments, including upgrades and rollback support
• Develop and maintain CI/CD pipelines for automated deployment, testing, monitoring, and versioning
• Monitor and optimize cloud deployments for reliability, scalability, and performance, implementing caching, concurrency, and auto-scaling solutions
• Manage in-cluster dependencies such as PostgreSQL, Kafka, Grafana, and Elasticsearch using Helm or Operators
• Collaborate with security, operations, and infrastructure teams to meet compliance, auditing, and monitoring requirements
• Troubleshoot and resolve production and staging issues while maintaining clear documentation of architecture, deployment procedures, and cloud tools
  
  

Requirements

• 3–5+ years of professional experience in cloud development or infrastructure engineering roles

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• Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience)
• Proven experience designing and building SaaS applications and multi-cloud solutions
• Hands-on experience with DevOps tooling (e.g., GitLab CI, GitHub Actions, Azure DevOps)
• Strong proficiency with cloud SDKs/APIs (AWS, Azure, GCP); experience with Boto3 and AWS CDK preferred
• Experience developing APIs using Python, Go, and/or JavaScript/TypeScript
• Solid understanding of Docker, containerization, and Kubernetes/OpenShift deployments
• Experience authoring and maintaining Helm charts and Operators for complex deployments
• Familiarity with monitoring, logging, and tracing tools such as Prometheus, Grafana, OpenTelemetry, and Elasticsearch/Loki
• Knowledge of GitOps principles and Terraform for building complex cloud environments
• Excellent collaboration, communication, problem-solving, and troubleshooting skills
  
  

Benefits

• Fully remote work environment with flexible schedules

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• Competitive salary and comprehensive health/medical benefits
• Retirement contributions (e.g., RRSP/TFSA/401K)
• Paid time off, personal days, and sick leave
• Life and disability insurance
• Employee Assistance Program for well-being support
• Learning and development opportunities through FHIR study programs and Skillsoft
• Inclusive, diverse, and supportive workplace culture
  
  

Why Apply Through Jobgether?

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!

Why Apply Through Jobgether?

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.