Full-Time DevOps Engineer
Element 84, Inc. is hiring a remote Full-Time DevOps Engineer. The career level for this job opening is Expert and is accepting USA based applicants remotely. Read complete job description before applying.
Element 84, Inc.
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A Few Other Things You Should Know
- Element 84's values are: We Invest in Each Other, We are Reliable, and Our Work Benefits our World.
- Element 84 works on meaningful projects that are challenging—from a technical, people, and team perspective. We make an impact on large projects through our leadership and expertise, both formal and informal.
- Element 84 values life outside of work. We offer parental leave for everyone and support each other through family challenges like medical problems, adoptions, and new babies.
- Element 84 has had a flexible work schedule since our founding in 2010.
- Element 84 is committed to building an inclusive, diverse and equitable workplace. We expect the entire team to share that same commitment.
About You
You are curious about the world, are constantly learning, driven to lead (formally or informally), and have a strong work ethic. You're interested in solving impactful problems in science, medicine, and other projects that have a societal good. You can work independently or with a team, prioritize your projects, and be effective without micromanagement.
You'll care about writing. Our team is remote and written communication is essential. In addition to caring about a well-crafted email and a succinct conference abstract, you understand that good writing is good design and engineering.
Job Description
Element 84 is looking for experienced DevOps engineers with strong AWS experience to support multiple projects, primarily working in the Remote Sensing domain. This engineer will work with teams to deliver continuous deployment, continuous testing, and continuous monitoring processes and technologies for complex operational systems. The ideal candidate would have experience deploying and supporting enterprise software within AWS.
Here are examples of things you might be working on:
- Managing automated infrastructure for handling dozens to hundreds of AWS accounts.
- Maintenance of GitHub Actions, Gitlab Pipelines, or similar and creation of new pipelines for automation.
- Writing and maintaining code for automated creation of AWS Infrastructure.
- Writing automation scripts in Python, bash/zsh, JavaScript, and other languages.
- Designing cloud-native architectural approaches.
- Implementing systems for managing a collection of metrics and logs from potentially thousands of instances and other cloud infrastructure.
- Automating the creation of operating system images and containers.
- Working with security experts to understand organizational security requirements and create secure implementations.
- Writing and maintaining code to support Generative AI applications on domain-specific datasets.
- Plan, assist, and perform migration of on-prem systems into AWS.
- Automating the creation of operating system images and containers.
- Defining standards for DevOps success across Element 84 and customer organizations.
Qualifications
Required Qualifications
- 3+ years of experience working in software development, 2+ years working with Cloud Technologies.
- 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.
- Willingness to support 24x7 operations (with help, of course!) as needed
- 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)
- An AWS foundational level certification, like AWS Cloud Practitioner or AI Practitioner.
Preferred Qualifications
- Associate-level or beyond certifications, like AWS Solutions Architect, AWS DevOps, and/or Certified Kubernetes Administrator certifications
- B.S. in Computer Science, Computer Engineering, or related fields (will consider equivalent professional experience in lieu of degree)
- Experience with Generative AI technologies (e.g. AWS Bedrock, GCP Gemini, LLMs, etc.)
- Experience working in regulated contexts (e.g. NIST 800-53, PCI, HIPAA)
- Experience with authentication and authorization technologies (SAML, SSO, AWS Cognito, JWT, OAuth, etc.)
- Demonstrated ability to proactively learn new technologies while performing job duties
- Experience supporting a migration from on-prem into a cloud-based solution
- Experience administering and configuring Windows
- Experience with Google Cloud and/or Azure