[Hiring] Azure DevOps Engineer @Element 84

Role Description

Element 84 is seeking an experienced and motivated DevOps Engineer with a strong background in building and maintaining reliable, scalable cloud systems in AWS and Azure and a proven record of utilizing infrastructure as code in complex deployments to support our innovative projects.

In this role, you'll be instrumental in the design, implementation, and operation of cloud-native solutions for complex operational systems, collaborating closely with technical teams and customers.

The ideal candidate will possess expertise in designing, deploying, and supporting enterprise-grade software within cloud environments, with a strong emphasis on Azure specific environments. While direct experience with geospatial applications isn't required, a curiosity and aptitude for working in this domain will be beneficial.

Primary 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.

Qualifications

• 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.

Preferred Qualifications

• 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.

Requirements

• This position requires that applicants be authorized to work in the United States without sponsorship now or at any time in the future, and be able to pass a general background check.

Benefits

• Competitive medical, dental and vision benefits.
• Life Insurance, Short & Long Term disability insurance.
• Voluntary Accident, Critical Illness & Hospital Insurance.
• 401(k) and Roth 401(k) retirement plans with a fixed 3% of salary employer contributions (paid regardless of employee participation).
• Health savings account with a company contribution.
• Flexible spending accounts (medical, dependent care and transportation).
• Company-paid parental leave after one year of employment.
• Flexible work schedules.
• Paid employee assistance program.
• 6 paid floating holidays.
• 4 weeks + 1 day paid Vacation Time Off per calendar year (prorated first year).
• 40 hours paid Sick Leave.
• Cell phone stipend.