DevOps Engineer

Archesys

Posted 2mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Design, implement, and maintain robust CI/CD pipelines using Jenkins
Build automated workflows for build, test, security scanning, artifact publishing, and deployment
Integrate CI/CD with GitHub
Implement and maintain semantic versioning practices
Build, maintain, and continuously improve Docker base “gold images”
Apply container best practices
Establish an image lifecycle model
Manage artifact workflows using JFrog Artifactory
Build automation and operational patterns across AWS services
Develop and maintain Python tooling to automate cloud operations
Improve platform reliability and repeatability through automated provisioning patterns
Build and deploy AWS resources using Terraform
Integrate and operationalize SonarQube quality gates
Support and extend observability integrations with Grafana
Collaborate with engineering and SRE stakeholders to reduce toil
Implement and manage security controls
Work closely with the security team to monitor for vulnerabilities
Support compliance initiatives
Collaborate with cross-functional teams to develop cohesive solutions
Create and maintain comprehensive documentation
Document procedures, configurations, and specifications
Contribute to the maintenance of a knowledge base
Collaborate closely with cross-functional teams to understand their needs
Participate in knowledge-sharing sessions
Assist in the creation and maintenance of technical documentation

4–8+ years’ experience in DevOps / Platform Engineering / CI/CD / Cloud Engineering
Strong hands-on expertise in Jenkins, including Jenkins Shared Libraries and reusable pipeline modules
Strong knowledge of Docker and container fundamentals
Hands-on experience with JFrog Artifactory and JFrog Xray
Infrastructure as Code experience (Terraform / CloudFormation / Ansible)
Strong understanding of semantic versioning and release management discipline
Solid experience with AWS and familiarity with RDS, Glue, and QuickSight
Proficiency in Python for automation, tooling, and integrations
Experience with DevOps tools such as GitHub, SonarQube, and Grafana
Strong communication skills; comfortable collaborating in a fully remote environment
Bachelor’s degree in computer science, Software Engineering, or related field, or equivalent practical experience

AWS Certifications (e.g., Solutions Architect, DevOps Engineer)
Experience with other observability tools (e.g., Datadog, New Relic, OpenTelemetry)
Contributions to open-source projects related to Grafana or observability
Kubernetes/ECS/EKS experience
Experience in compliance-driven environments (e.g., secure baselines, audit evidence, change control)

Skills