1 day ago
Remote, IrelandSenior
Responsibilities
- Design and manage CI/CD and deployment pipelines for AWS-native and Kubernetes-based applications.
- Advise product teams on deployment requirements, cloud practices, container practices, and infrastructure.
- Manage cloud infrastructure, DevOps pipelines, automation, monitoring, alerting, and operational processes.
- Implement DevSecOps controls including application, dependency, secrets, and container scanning.
- Enforce IAM, network segmentation, encryption, secrets management, cloud security, and Kubernetes hardening.
- Support vulnerability management, incident response, audit readiness, and compliance efforts.
- Build and operate infrastructure and deployment pipelines for AI/ML and LLM workloads, including model serving and GPU-enabled clusters.
- Apply AI-assisted tools to infrastructure development, troubleshooting, incident analysis, monitoring, and responsible AI governance.
Requirements
- 8+ years of experience maintaining high-traffic applications and complex technical infrastructure.
- Hands-on experience supporting cloud environments and applying AWS Well-Architected principles.
- Experience with Kubernetes, AWS services, infrastructure-as-code, CI/CD tools, monitoring, logging, networking, and version control.
- Knowledge of DevSecOps, AWS security services, container and software supply-chain security, vulnerability scanning, Kubernetes security, and secrets management.
- Practical experience with AI coding and operations assistants such as GitHub Copilot, Claude, or Amazon Q.
- Understanding of deploying and operating AI/ML workloads using technologies such as Amazon Bedrock, SageMaker, and Kubernetes model serving.
- Awareness of AI-specific risks including prompt injection, data leakage, and insecure AI-generated code.
- Scripting experience with Python or Bash and Linux administration and networking experience are advantageous.
- Experience with GitOps, internal tooling, AI-enabled DevOps workflows, databases, microservices, or serverless architectures is advantageous.
- Relevant certifications such as AWS Certified DevOps Engineer, AWS Security Specialty, CKA, or CKS are advantageous.
Benefits
- Remote-friendly work environment with a collaborative global team.
- Equal opportunity employer with an emphasis on inclusion, support, and connection.
Tech Stack
Argo CDAWSBashDatadogGitHub ActionsGrafanaJenkinsKubernetesLinuxMongoDBMySQLOctopus DeployPostgreSQLPrometheusPythonSonarQubeTeamCityTerraform
Categories
About Dotmatics
Dotmatics builds cloud-based R&D scientific software that unifies biology, chemistry, and data management workflows for biopharma, chemicals/materials companies, and academic labs; products include Luma, ELN, GraphPad Prism, Geneious, SnapGene, Protein Metrics, and LabArchives. The company sells SaaS and enterprise licenses for data integration, analysis, and decision support, is headquartered in Boston, and operates as a Siemens company following its acquisition.