Senior DevOps Engineer
New
E
Element 84Cloud Geospatial Data
Remote candidates are encouraged, but only in states/localities where E84 is already set up for business. Applications will only be considered if candidate is located in one of the following states: AZ, CA, CO, DC, FL, IL (excluding Chicago), IN, KS, MD, MI, MN, MT, NH, NJ, OH, OK, OR, PA, SD, TX, UT, VA, or VT.Full-TimeSenior
Salary$145,000 – $175,000 / year
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Job Details
- Experience
- 6+ years of experience in software development, with 3+ years specifically focused on Cloud Technologies.
- Required Skills
- AWSPythonAgileBashJavascriptAzureCI/CDLinux
Requirements
- 6+ years of experience in software development, with 3+ years specifically focused on Cloud Technologies.
- Strong, hands-on experience with IaC, including writing, maintaining, and troubleshooting complex configurations.
- Strong experience developing in one or more programming languages (e.g., Python, Bash, JavaScript).
- Demonstrable experience designing, deploying, and managing infrastructure and services on a major cloud platform.
- Ability to clearly document and communicate intricate architectural concepts.
- Demonstrated experience in negotiating tradeoffs between critical factors such as security, performance, maintainability, and cost.
- Extensive experience working within an Agile Development software team.
- Solid experience with Linux environments.
- Deep understanding of cloud architecture patterns and tradeoffs (e.g., serverless vs. provisioned).
- Expertise with build and deployment automation tools.
- Proficiency with infrastructure monitoring tools (e.g., CloudWatch, AWS Config, Kibana, Splunk, Grafana).
- Active NOAA CAC badge.
Responsibilities
- Lead the design and implementation of robust, scalable, and secure cloud-native solutions on AWS.
- Collaborate with security experts to translate organizational security requirements into secure and compliant cloud implementations.
- Develop and maintain infrastructure-as-code to manage and provision infrastructure across numerous Azure and AWS accounts.
- Maintain and optimize CI/CD automation pipelines to facilitate rapid and reliable software deployments.
- Craft automation scripts in Python, Bash, JavaScript, and other relevant languages to streamline operational workflows.
- Contribute to the development and maintenance of infrastructure supporting Generative AI applications on domain-specific datasets.
- Automate the creation and management of front and back-end applications, pipelines, and security tooling.
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