Principal DevOps Engineer, AI/ML Infrastructure
Revvity
Posted: 10/21/2026AnsibleAWSAzureCloudDockerGoogle Cloud PlatformJenkinsKubernetesPython+2 more
Cloud Solutions Engineer, Site Reliability Undergrad Intern
The Aerospace Corporation
Posted: 10/21/2026AWSAzureCloudDockerGoogle Cloud PlatformJavaJenkinsKubernetesLinux+4 more
Senior SRE Engineer
Astreya
Posted: 10/21/2026AWSCloudGoogle Cloud PlatformPythonRubyTerraformGo
Design Release Engineer – Bumper, Grille, Fascia, Exterior Trim
General Motors
Posted: 10/21/2026Assembly
Architect – DevOps
3Cloud
Posted: 10/21/2026AnsibleAWSAzureCloudDockerGoogle Cloud PlatformGroovyKubernetesPython+1 more
Director Release Engineering
Patterson Companies, Inc.
Posted: 10/21/2026Cloud
Senior Site Reliability Engineer – Cloud Database Platform
MariaDB
Posted: 10/21/2026AWSCloudGrafanaKubernetesLinuxMariaDBPrometheusPythonTerraform+1 more
DevSecOps
Zapata Technology
Posted: 10/21/2026DockerElasticSearchJavaJavaScriptKubernetesLinuxMavenNode.jsPython+2 more
Systems Administrator, Software Deployment Engineer
Columbus Technologies and Services
Posted: 10/21/2026DNSMS SQL ServerSQLTCP/IP
DevOps Engineer
Upwind Security
Posted: 10/21/2026CloudElasticSearchGrafanaKubernetesLinuxMySQLNeo4jPostgresPrometheus+4 more
Senior Technical Trainer – AI, DevOps
OnHires
Posted: 10/21/2026AWSAzureCloudKubernetesLinux
DevOps Engineer
Mission Technologies, a division of HII
Posted: 10/21/2026AnsibleAWSCloudEC2ElasticSearchFluxHadoopKafkaKubernetes+4 more
Site Reliability Engineer, Observability Consultant
Blue United Sourcing
Posted: 10/21/2026Python
GitHub & GitLab Administrator, DevOps Administrator
Blue United Sourcing
Posted: 10/21/2026Python
Senior Systems Operations Engineer
Wells Fargo
Posted: 10/20/2026AnsibleCloudGrafanaJavaJenkinsMongoDBNoSQLOracleRDBMS+3 more
Deployment Engineer
Leidos
Posted: 10/20/2026CloudDistributed SystemsDockerKubernetesLinuxNode.jsPostgresPythonRedis
Principal/Sr. Principal DevOps Engineer
Northrop Grumman
Posted: 10/20/2026AWSDynamoDBFluxGrafanaJenkinsKubernetesLinuxPrometheusTerraform
Senior Linux, Infrastructure Automation Engineer
RR Donnelley
Posted: 10/20/2026AnsibleCloudLinuxOpenStackPuppet
DevSecOps Engineer
SAIC
Posted: 10/20/2026AWSCloudCyber SecurityEC2GrafanaKubernetesPrometheusPythonTerraform
Principal System Safety and Reliability Engineer
Honeywell Aerospace Technologies
Posted: 10/20/2026Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive expertise in architecting and managing scalable AI/ML infrastructure, with a strong focus on CI/CD pipeline development and cloud services. Proven ability to mentor teams and drive best practices in AI/ML platform development and deployment.
Highest-signal resume keywords
AI/ML Infrastructure ArchitectureCI/CD Pipeline DevelopmentCloud Provider Expertise (AWS, Azure, GCP)ML Orchestration Tools (Kubeflow, MLflow, Amazon SageMaker)Containerization (Docker, Kubernetes)
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Architect, design, and lead scalable, secure, and resilient infrastructure for AI/ML workloads
- Build and maintain CI/CD pipelines for AI models, from data ingestion through model serving and monitoring
- Act as a subject matter expert and mentor junior engineers
- Drive best practices for AI/ML platform development, code management, and deployment
- Collaborate with AI researchers and software engineers to optimize performance and streamline development and experimentation
- Ensure the reliability, security, and performance of AI systems
- Monitor industry trends and introduce innovative AI solutions
- Integrate and orchestrate the full lifecycle of AI and ML projects, bridging researchers and software development teams
Requirements
What you’ll need- 5+ years of experience in DevOps, ML Infrastructure, or Platform Engineering, with several years in a senior or leadership capacity
- 5+ years of deep, expert-level knowledge of at least one major cloud provider (e.g., AWS, Azure, or GCP), including AI/ML and containerization services
- 5+ years of hands-on experience with ML orchestration and platform tools like Kubeflow, MLflow, or Amazon SageMaker
- 5-8+ years of deep expertise with Docker and Kubernetes for managing and scaling AI/ML workloads
- 5-8+ years of strong coding skills in Python, Go, or Bash for automation
- Proficiency with Terraform or Ansible
- Experience building automated CI/CD pipelines using GitHub Actions, GitLab CI/CD, or Jenkins
- Valid LinkedIn profile and added work links on the resume
- Capability to interview in person at the headquarters in Waltham, MA, USA
- Ability to work EST hours
- Must be a remote US candidate
Benefits
Comp & perks- Medical, Dental, and Vision Insurance Options
- Life and Disability Insurance
- Paid Time-Off
- Parental Benefits
- Compassionate Care Leave
- 401k with Company Match
- Employee Stock Purchase Plan
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonGoBashTerraformAnsibleGitHub ActionsGitLab CI/CDJenkinsML OrchestrationAI/ML Workload Management
Soft Skills
MentoringCollaborationProblem-SolvingCommunication
Tools & Technologies
DockerKubernetesAWSAzureGCPKubeflowMLflowAmazon SageMakerTerraformAnsible
Industry Keywords
AI SolutionsML WorkloadsDevOpsPlatform EngineeringCI/CD Best Practices