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DevOps Developer

Job in Sioux Falls, Minnehaha County, South Dakota, 57101, USA
Listing for: Agfa-Gevaert
Full Time position
Listed on 2026-06-30
Job specializations:
  • IT/Tech
    SRE/Site Reliability, Cloud Computing: Infrastructure & Operations, Systems Engineer, Cybersecurity
Salary/Wage Range or Industry Benchmark: 90000 - 120000 USD Yearly USD 90000.00 120000.00 YEAR
Job Description & How to Apply Below

Location

  • Remote – United States / Canada
What You'll Do CI/CD, Build & Release Automation
  • Design, maintain, and improve CI/CD pipelines using tools such as Jenkins, Bitbucket, Gradle, and related technologies.
  • Improve build reliability, pipeline performance, test automation integration, and release automation.
  • Support development teams in improving their software delivery workflows.
  • Troubleshoot complex build, deployment, and environment issues.
  • Contribute to standardization and reuse of pipeline patterns across teams.
  • Improve deployment repeatability, traceability, and auditability.
  • Support and improve Kubernetes-based deployment and runtime environments.
  • Work with containerization technologies such as Docker and Kubernetes.
  • Develop and maintain automation for infrastructure, environments, and deployment workflows.
  • Contribute to infrastructure-as-code and configuration-as-code practices.
  • Support the adoption of Git Ops and declarative deployment models.
  • Help improve scalability, resilience, and maintainability of cloud-native systems.
  • Collaborate with Managed Services and Services teams to ensure platform capabilities are operable and supportable.
Dev Sec Ops  & Compliance Automation
  • Integrate security controls into CI/CD pipelines and development workflows.
  • Support vulnerability scanning, dependency checks, container image scanning, secrets management, and policy enforcement.
  • Collaborate with Security and Architecture teams to improve secure software delivery.
  • Help ensure pipelines and automation support auditability, traceability, and compliance requirements.
  • Promote secure‑by‑design practices within Dev Ops and development teams.
Observability, Reliability & Operational Feedback
  • Improve observability through metrics, logs, traces, dashboards, and alerting.
  • Support incident analysis, root‑cause investigation, and operational improvements.
  • Work with Managed Services and Services teams to translate operational feedback into better automation, monitoring, deployment practices, and documentation.
  • Identify recurring operational issues and automate solutions where possible.
  • Contribute to performance, reliability, and scalability improvements.
AI-Enabled Engineering Workflows
  • Use AI‑assisted tools responsibly to improve Dev Ops productivity, troubleshooting, documentation, automation, and pipeline analysis.
  • Identify practical use cases for AI in CI/CD, Dev Sec Ops , observability, incident analysis, and developer workflows.
  • Validate AI‑generated code, scripts, configurations, and recommendations through proper engineering review and testing.
  • Help define safe usage patterns and guardrails for AI‑assisted Dev Ops work.
  • Collaborate with development teams to integrate AI‑assisted tools into the software delivery lifecycle.
Who You Are
  • 4+ years of experience in Dev Ops, platform engineering, infrastructure engineering, or software delivery automation.
  • Strong hands‑on experience with CI/CD pipelines and automation.
  • Experience with Jenkins, Bitbucket, Gradle, Git, and related development tooling.
  • Experience with Docker, Kubernetes, and cloud‑native deployment patterns.
  • Good understanding of infrastructure-as-code, configuration management, and automation.
  • Knowledge of Git Ops concepts and tools such as ArgoCD, Flux, or similar.
  • Understanding of Dev Sec Ops  principles and security automation in CI/CD pipelines.
  • Experience with observability tools and practices, including logs, metrics, dashboards, and alerting.
  • Strong troubleshooting and problem‑solving skills.
  • Ability to work independently and take ownership of technical topics.
  • Good communication skills and ability to collaborate across distributed teams.
  • Understanding of AI tools and their application in Dev Ops, software development, and operational workflows.
  • Relevant certifications such as AWS Cloud Practitioner, AWS Certified Solutions Architect, ITIL, CISSP, or CISM.
  • Experience with AWS, Azure, GCP, or hybrid cloud environments.
  • Experience with Helm, Terraform, Ansible, or similar tooling.
  • Experience with Prometheus, Grafana, ELK/Open Search, or comparable observability platforms.
  • Experience with incident response, production support, managed services enablement, performance tuning, or…
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