12 hours ago
Base Salary
$122k - $165k/yr
Responsibilities
- Design and manage CI/CD and deployment pipelines for AWS-native and Kubernetes-based applications.
- Advise product teams on deployment requirements and cloud and container best practices.
- Manage cloud infrastructure, DevOps processes, monitoring systems, automated alerts, and post-release performance monitoring.
- Implement DevSecOps controls including security scanning, least-privilege IAM, network segmentation, encryption, secrets management, policy-as-code, 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, GPU-enabled clusters, and cost controls.
- Use AI-assisted tools for pipeline development, infrastructure code, troubleshooting, incident analysis, and monitoring automation.
- Establish responsible AI guardrails covering privacy, access controls, and review of AI-generated code and configuration.
Requirements
- 8+ years of experience maintaining high-traffic applications and complex technical infrastructure.
- Proven experience supporting cloud environments and applying AWS Well-Architected principles.
- Hands-on experience with Kubernetes clusters and customer cloud environments.
- Experience with AWS services, infrastructure-as-code, CI/CD tools, observability platforms, and cloud networking.
- Knowledge of DevSecOps, AWS security services, container and software supply-chain security, security scanning, Kubernetes security, and secrets management.
- Practical experience using AI coding and operations assistants such as GitHub Copilot, Claude, or Amazon Q.
- Understanding of deploying and operating AI/ML workloads, including Amazon Bedrock, SageMaker, and model serving on Kubernetes.
- Awareness of AI-specific risks such as prompt injection, data leakage, and insecure AI-generated code.
- Scripting experience with Python or Bash and Linux administration and networking knowledge are beneficial.
- Experience with GitOps tooling, internal AI-enabled DevOps tooling, databases, microservice or serverless architectures, and relevant certifications is beneficial.
Benefits
- Remote-friendly work environment.
- Medical, dental, vision, and other insurance benefits.
- Health Spending Accounts and wellness benefits including mental health apps and fitness perks.
- Company-paid life and disability insurance.
- 401(k) retirement plan with a 4% company match and immediate vesting.
- Flexible Time off Plan for US exempt employees.
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.