Azure DevOps Engineer (Hub-Remote: DC or Philly Metro)

Element 84 is a woman-owned small business that develops geospatial data processing pipelines and builds software for various sectors. They are seeking an experienced Azure DevOps Engineer to design, implement, and operate cloud-native solutions, collaborating with technical teams and customers.

Responsibilities:

• Collaborating with development teams for the design and implementation of robust, scalable, and secure cloud-native solutions on Azure and AWS
• Developing and maintaining infrastructure-as-code to manage and provision infrastructure across numerous Azure and AWS accounts, ensuring consistency and efficiency
• Maintaining and optimizing CI/CD automation pipelines to facilitate rapid and reliable software deployments
• Collaborating with security experts to translate organizational security requirements into secure and compliant cloud implementations
• Participate in all aspects of the software development lifecycle from user story generation, through design, development, automated testing and operational support
• Improve quality by actively participating in code-reviews and adhering to team quality standards
• Own execution of small-medium sized features with higher-level technical support
• You describe the details of your work fluidly and accurately to technical peers

Requirements:

• 4-6 total years of experience as a DevOps Engineer, including 2+ years working with Azure Tools and Environments
• Proven experience provisioning, configuring, and managing secure, scalable cloud environments within Microsoft Azure, utilizing Infrastructure as Code (IaC) principles
• Hands-on experience deploying and maintaining workloads using core Azure tools and services (such as Azure Pipelines, Azure Resource Manager (ARM) templates or Bicep, Azure Monitor, and Microsoft Entra ID)
• Writing and maintaining infrastructure as Code (Cloudformation, Terraform, CDK)
• Working experience with deploying and managing containerized applications and platforms in Kubernetes, Helm Charts, Docker, etc
• Ability to clearly document and communicate architectural concepts, cloud architecture patterns, and tradeoffs at multiple levels, including delivering presentations, creating visual designs, and writing white papers
• Experience working with an Agile Development software team
• Experience with infrastructure monitoring tools (Grafana, Prometheus, CloudWatch, ELK stack, New Relic, Splunk, etc.)
• Strong experience with data engineering tools and technologies (SQL, NoSQL, DynamoDB, Postgres, Redshift, Athena, Glue, etc.)
• Strong experience with Linux environments
• Working experience with cloud architecture patterns and tradeoffs (Serverless, Docker, Kubernetes, etc.)
• Working understanding of code and script (Python, Go, Javascript, and TypeScript)
• Experience with web server technologies (Nginx, Puma, Unicorn, and/or Tomcat)
• Outstanding all-round communication skills and ability to work collaboratively and proficiently in a remote environment
• An AWS foundational level certification (e.g. Azure DevOps Engineer Expert, AWS Cloud Practitioner or AI Practitioner) or willingness to obtain one
• Experience with Generative AI technologies
• Experience working in regulated contexts (e.g., NIST 800-53, PCI, HIPAA)
• Experience developing on MacOS X
• Experience with authentication and authorization technologies (e.g., SAML, SSO, AWS Cognito, JWT, OAuth, OPA, Ranger)
• Demonstrated ability to proactively learn and integrate new technologies into existing workflows
• Familiarity with geospatial data processing, analysis, or visualization tools and concepts