2 days 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, automation, monitoring, and alerting systems.
- Embed DevSecOps practices including security scanning, IAM, network segmentation, encryption, secrets management, 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.
- Use AI-assisted tools for pipeline development, infrastructure code, troubleshooting, incident analysis, and monitoring improvements.
- Establish responsible AI guardrails covering data 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, AWS cloud services, infrastructure-as-code, CI/CD tools, monitoring, logging, networking, and version control.
- Experience with 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.
- Familiarity with Python or Bash, Linux administration, networking, GitOps tooling, microservice or serverless architectures, databases, or AI-enabled DevOps workflows is beneficial.
- Relevant certifications such as AWS Certified DevOps Engineer, AWS Security Specialty, CKA, or CKS are beneficial.
Benefits
- 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 for US exempt employees.
- Remote-friendly work environment.
- Base pay range of $122,187-$165,311 USD, with certain positions potentially eligible for variable pay.
Tech Stack
Argo CDAWSBashDatadogGitHub ActionsGrafanaJenkinsKubernetesLinuxMongoDBMySQLOctopus DeployPostgreSQLPrometheusPythonSonarQubeTeamCityTerraformVault
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.