Audacious Inquiry is looking for an experienced Cloud Engineer to play a key part in deploying technology that makes a real difference in healthcare across the US. By pioneering health information exchange technology that has shaped industry standards, we are continuously raising the bar for how health data is shared, managed, leveraged, and protected. Organizations turn to us to design and develop innovative solutions to healthcare information problems.
Develops tools and processes to enable automated deployment and monitoring of cloud and on-prem infrastructure and applications.
Automates images, systems/network configuration and orchestration using tools such as Cloud Formation, Terraform, Puppet, Ansible, etc.
Designs and implements CI/CD pipelines to include application and security testing and allowing for development teams to own the pipeline process from end-to-end.
Implements, improves, and augments infrastructure, application and security monitoring tools and overall platform stability.
Automating data resiliency and replication based on policies.
Responsible for managing and operation of environments.
Mentors engineers and peers.
Participates in the creation of strategic roadmaps by understanding the needs of the business and mapping technical objectives to those needs.
Creates high level reference architecture documentation to meet the technology needs of various stakeholders.
Works autonomously to build customized solutions to meet business needs.
Produces, enhances, and executes the deployment of automated tools to increase efficiencies across the organization.
Effectively communicates solutions architecture to management as well as to business stakeholders and the project teams.
Improves deployment and release management process.
Significant experience designing, deploying, and supporting production cloud environments, particularly multi-region/multi-AZ environments.
Continuous monitoring and logging of all applications layers and all infrastructure (e.g. CloudWatch, New Relic, Splunk)
Continuous alerting and notification based on monitors and logs (e.g. OpsGenie)
Hands-on experience with container technologies including Docker
Hands-on experience with Kubernetes a plus
Self-healing clusters using robust health-check services and cloud load balancers (e.g. ELB/ALB/ELB, ECS)
Horizontally scalable compute including autoscaling rules
Horizontally scalable databases including read replicas
Automated build, test, and deployment through modern CI/CD
Infrastructure-as-code via Terraform and CloudFormation
Configuration-as-code via tools like Ansible
Security at rest and in transit via encryption
Security automation using tools like OWASP-ZAP
Advanced networking concepts and implementation in AWS
Knowledge of VMWare a plus
Linux Administration experience a plus
This position may include access to protected health information (PHI) and confidential information. The successful candidate will be required to complete training and must handle all PHI appropriately according to Ai policies, and all applicable laws and regulations.
Ai is an Affirmative Action/Equal Opportunity Employer.
Ai provides equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other protected class status.