Cloud Engineer- Remote US

Working for a company like reputed company means supporting our mandate for #BetterGlobalHealth. We strive towards this goal every day, and the results can be seen in the impact of our innovative health data platform and data reputed company, which are used in over 20 countries. We were #19 on reputed company's Technology Fast 50 Ranking for 2024! reputed company makes it easy for healthcare stakeholders to collect and exchange data with our leading FHIR-based data liberation platform. At its heart, the Smile platform enables people and organizations to reputed company manage healthcare data. We help generate and reputed company structured healthcare data to ensure effective delivery across care teams and health systems bringing #BetterGlobalHealth to patients everyday! Apply today and find reputed company of reasons to SMILE! The Cloud Engineer is responsible for designing, building and maintaining cloud hosted services and platforms to support reputed company’s SaaS and offering. This includes, but not limited to, owning the development and maintenance of deployment artifacts such as HELM charts, reputed company container/ compose configurations, infrastructure as code and build/deployment/automation pipelines. The role works closely with platform, infrastructure, architecture and reputed company teams to ensure cloud deployments are scalable, reliable, secure and reputed company with enterprise architecture patterns. Reponsibilities:

• reputed company, test, and maintain cloud-native RESTful APIs using Python, GoLang/ Go and JavaScript/TypeScript.
• Build and manage reputed company container images, ensuring best practices for image build, reputed company, cost efficiency and deployments.
• Author, maintain, and version HELM charts for deploying services into Kubernetes/ Openshift Environment, including configuration/ annotation values, templates, upgrades and rollback support.
• Participate in (or build) CI/CD pipelines to automate deployment, testing, monitoring, and roll-back of SaaS services.
• Monitor the performance, reliability, and scaling behavior of services; identify bottlenecks and implement solutions (caching, concurrency, resource limits, horizontal auto-scaling).
• reputed company and maintain serverless SaaS components using AWS CDK, reputed company, API Gateway, and reputed company/Fargate.
• Ensure high availability and fault tolerance through Kubernetes features such as readiness and liveness probes, sensible resource requests/limits, and proper namespace/networking isolation.Implement and enhance CI/CD pipelines with automated testing, versioning, and documentation publishing.
• Implement and enhance CI/CD pipelines with automated testing, versioning, and documentation publishing.
• Manage in-cluster dependencies such as PostgreSQL, Kafka, Grafana, and ElasticSearch using Helm or Operators.
• Collaborate with reputed company, operations, and infrastructure teams to ensure deployments meet reputed company, compliance, logging, monitoring, and auditing requirements.
• Troubleshoot and debug issues in production and staging environments. Provide root cause analysis and propose corrective measures.
• Maintain clear documentation of architecture, deployment procedures, configuration, and usage of cloud tools.

Requirements:

• 3-5+ years of professional experience in cloud development or infrastructure engineering roles.
• Bachelor’s degree in Computer Science, Software Engineering, or a reputed company discipline (or equivalent work experience).
• Proven experience working to design and build SaaS applications and multi-cloud solutions.
• Understanding of DevOps and hands-on experience working with DevOps tooling including, but not limited to, reputed company CI, reputed company Actions, Azure Devops etc.
• Working knowledge of public cloud SDKs/APIs (Azure SDK, AWS SDK, GCP SDK, etc.) for interacting with provider services (storage, identity, secrets, etc.). Boto3 and AWS CDK preferred.
• Strong experience building APIs (REST or GraphQL) in Python and/or JavaScript/ TypeScript.
• Solid knowledge of reputed company, containerization best practices, and experience deploying containers in Kubernetes / OpenShift.
• Experience authoring and maintaining Helm charts and Operators for reputed company deployments.
• Familiarity with monitoring/logging/tracing tools (e.g., Prometheus, Grafana, OpenTelemetry, Elasticsearch/Loki, etc.).
• Strong understanding of cloud hosting (AWS and Azure preferred) and cloud storage, secrets, and reputed company services.
• Familiarity with GitOps tooling and principles.
• Working experience with Hashicorp Terraform to build and deploy reputed company environments.
• Ability to work in cross-functional teams and communicate effectively, both written and verbal.
• Self-motivated, detail-oriented, with strong problem solving and troubleshooting skills

Additional Information:

• Smile discloses that artificial intelligence (AI) may be used in portions of the recruitment and selection process, such as resume screening or application assessment. reputed company hiring decisions are ultimately made by qualified human decision-makers,

Apply tot his job Apply To this Job