Key skills
AWS EKSAWS EC2AWS LambdaAWS API GatewayAWS S3AWS DynamoDBAWS RDSAWS Route 53AWS CloudWatchAWS WAFAWS KMSAWS Secrets ManagerAWS IAMAWS CloudTrailInfrastructure-as-CodeCloudformationTerraformAWS CDKDockerKubernetesHTTPDNSTCPIP routingCI/CD pipelinesJenkinsArgoCDGitHub ActionsDatadogPrometheusGrafanaJWTOAuthOpen Policy AgentML/AI workloads deploymentOAuth/OIDC flowsRBACACLsOWASP Top 10HIPAA regulationsProactive mentalityTypeScriptPythonJavaGoAIMLLLMRAGAWSServerlessECSEKSCloudFormationEC2LambdaS3DynamoDBRDSIAMCloudWatchAPI GatewayCodePipelineGitHubSaaSCI/CDOWASPCloud SecurityWAF
About this role
CopilotIQ is a health tech innovation company transforming in-home care with an AI-driven platform. They are seeking a DevOps Engineer responsible for designing and developing infrastructure solutions to ensure scalability, high availability, and cost-efficiency for their cloud-based services.
Responsibilities:
- Build and manage our cloud infrastructure for scalability, high availability and cost-efficiency
- Design and implement Infrastructure-as-Code (IaC) driven deployments for cloud-native services, enabling fully automated continuous deployments across Staging, Test, and Production environments
- Proven experience in AWS microservices and serverless deployments
- Build and maintain efficient CI/CD pipelines (Jenkins, ArgoCD, Github Actions)
- Own monitoring and alerting flows, ensure general observability metrics and maintainability of all our critical services
- Implement disaster recovery and backup/restore strategies
- Strengthen the AWS infrastructure security by managing AWS WAF, KMS keys, Secrets Manager, SSL/TLS certificates, IAM, CloudTrail logs and more
- Heavily contribute to system reliability, including being on-call
Requirements:
- Bachelor's degree in Computer Science or related field
- 3-5 years combined Software Engineering/DevOps experience, with at least 2 years in DevOps focused on running and maintaining cloud-deployed SaaS application
- You are a mission driven strong collaborator that has product passion and deeply cares for growth, learning and adding meaningful impact through your efficient technical work
- Self-motivated with a proactive, 'go-getter' mentality
- Demonstrates and applies broad knowledge of software engineering concepts, practices, and procedures for product and solution development and deployment at scale
- Experience with user authentication and authorization technologies and general security practices (definitely a plus, familiarity with any of JWT, Oauth, Open Policy Agent, IAM Roles)
- Documentation of Cloud infrastructure and associated processes
- Solid fundamentals of networking and container technologies, especially as related to Docker and Kubernetes – working knowledge of major Internet protocols such as HTTP, DNS, TCP and IP routing
- Solid foundation in AWS services and best practices, including EKS, EC2, Lambda, API Gateway, S3, DynamoDB, RDS, Route 53, and CloudWatch
- Solid Expertise with at least one of the IaC tools (e.g. Cloudformation, Terraform, CDK)
- Experience with Datadog or Prometheus/Grafana (ELK/Loki a plus)
- AWS CDK, Cloud Development Kit (TypeScript/Java/Python) and AWS Solutions Constructs
- Experience deploying and maintaining ML/AI workloads in production (batch + real-time inference) and experience supporting LLM-based systems (prompt pipelines, RAG, embeddings, etc.). Integrate ML workflows into standard CI/CD systems (GitHub Actions, CodePipeline, etc.)
- Building or integrating OAuth/OIDC flows; general familiarity in the authentication/authorization space with RBAC/ACLs and OPA
- Exposure to microservices/serverless patterns (ECS/Lambda/API Gateway)
- Awareness of OWASP Top 10 and cloud security scanning (image/code)
- Work experience in the healthcare space and familiarity with HIPAA regulations (at least, as it pertains to ingestion, processing, storage and serving of patient data)