Top Biotech DevOps & Platform Engineering Jobs

Reposted 20 Days AgoSaved
In-Office
Fremont, CA, USA
125K-150K Annually
Senior level
125K-150K Annually
Senior level
Biotech
The Senior Linux Systems Engineer will design and maintain high-performance Linux systems, optimize performance, automate tasks, and ensure system reliability. Responsibilities include troubleshooting, collaboration, and documentation.
Top Skills: AnsibleAWSBashDockerLinuxPythonTcp/Ip
21 Days AgoSaved
In-Office
Eagan, MN, USA
101K-152K Annually
Senior level
101K-152K Annually
Senior level
Biotech
As a Senior DevOps Engineer, you will design and implement CI/CD pipelines, cloud-native infrastructure, and improve deployment workflows while collaborating with engineering teams to enhance observability, scalability, and resilience of digital solutions.
Top Skills: Azure DevopsBashCi/CdDastDevOpsDockerGitKubernetesLinux Embedded SystemsPythonSast
23 Days AgoSaved
In-Office
San Diego, CA, USA
133K-182K Annually
Senior level
133K-182K Annually
Senior level
Healthtech • Biotech • Pharmaceutical
The Principal Cloud Engineer is responsible for designing and optimizing hybrid cloud environments across Azure and AWS, leading transformation initiatives, and ensuring compliance with security standards.
Top Skills: Arm/BicepAWSAzureCloudFormationInfrastructure As CodeKubernetesSQLTerraformVirtual Desktop InfrastructureVMware
Reposted 23 Days AgoSaved
In-Office
Menlo Park, CA, USA
196K-294K Annually
Senior level
196K-294K Annually
Senior level
Biotech
Lead the platform engineering team to enhance software delivery for sequencing systems, overseeing infrastructure, CI/CD pipelines, and collaborating across departments for quality and efficiency.
Top Skills: AnsibleC#C++ChefCi/CdDevOpsDockerLinuxPodmanPuppetPython
Reposted 24 Days AgoSaved
In-Office or Remote
2 Locations
165K-259K Annually
Mid level
165K-259K Annually
Mid level
Biotech • Pharmaceutical
You will design and optimize distributed compute infrastructure for ML applications, improve resource utilization, and collaborate with ML engineers on large-scale workloads.
Top Skills: AWSAzureCeleryDaskDistributed ComputingGCPJaxKubernetesMl FrameworksPyTorchRaySlurmTensorFlow
Reposted 24 Days AgoSaved
In-Office or Remote
7 Locations
Mid level
Mid level
Artificial Intelligence • Information Technology • Software • Biotech
The Platform Engineer will build and manage scalable infrastructure for ML systems, focusing on enterprise applications in drug discovery, ensuring reliability and customer integration.
Top Skills: AirflowArgoAWSAzureCi/CdDaskDockerElasticsearchGCPGoKubernetesMl InfrastructurePostgresPrefectPythonRayRustSnowflakeSparkTerraformTypescript
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