✦ Luna Orbit — DevOps & SRE

Lead Software Engineer, DevOps / MLOps (Agentic Workflows, AI/ML Guardrails, Kubernetes, Python, AWS)

at Capital One Financial

📍 5 Locations Unknown 💰 $197K – $225K USD / year Posted April 15, 2026
Salary $197K – $225K USD / year
Type Full-Time
Experience lead
Exp. Years At least 4 years
Education Bachelor's degree
Category DevOps & SRE

This lead DevOps/MLOps role manages a portfolio of technology projects and leads developers to deliver cloud-based solutions that meet regulatory needs. You will drive infrastructure and deployment automation using Kubernetes, Docker, Ansible, and Terraform while supporting machine learning operationalization.

  • Lead a portfolio of technology projects and developers
  • Deliver cloud-based solutions that meet regulatory needs
  • Utilize Java, Python, SQL, Ruby and Go with Docker and Kubernetes
  • Apply CM tools including Ansible and Terraform
  • Use AWS tools and services and support MLOps/ML operationalization

You will lead DevOps Engineering efforts in cloud-native environments across Amazon Web Services, Microsoft Azure, and Google Cloud Platform. The technical stack emphasizes Kubernetes and Docker for container orchestration, Ansible and Terraform for automation and infrastructure as code, and Jenkins for build/deployment, with additional strengths in Linux/Unix administration and ML operations.

The ideal candidate is a lead-level DevOps/MLOps engineer with 4+ years of DevOps Engineering experience and at least 3 years of cloud-native experience on Amazon Web Services, Microsoft Azure, or Google Cloud Platform. They have 4+ years of Unix or Linux system administration experience and strong hands-on expertise with Kubernetes, Docker, Ansible, Terraform, and Jenkins. They can lead engineering teams, mentor others, and help operationalize AI/ML solutions while addressing regulatory needs.

Bachelor's degreeAt least 4 years of experience in DevOps Engineering (Internship experience does not apply)At least 3 years of experience in Cloud Native technologies (Amazon Web ServicesMicrosoft AzureGoogle Cloud Platform)At least 4 years of experience with Unix or Linux system administration experience
7+ years of DevOps Engineering experience4+ years of experience with coding and scripting (PythonSQLJavaJavaScriptGolangBashPerl or Ruby)4+ years of experience using build and deployment tools (JenkinsDockerKubernetes)2+ years of experience with distributed database systems (CassandraElasticSearch)2+ years of experience with deploying clustered web services2+ years of experience working within Agile Development Practices2+ years of Machine Learning Operations experience
DockerKubernetesAnsibleTerraformJenkinsAWS tools and servicesAmazon Web ServicesMicrosoft AzureGoogle Cloud Platform
DevOps Engineeringcloud native technologiesAmazon Web ServicesMicrosoft AzureGoogle Cloud PlatformUnixLinuxDockerKubernetesAnsibleTerraformJenkinsJavaPythonSQLRubyGodistributed microservicesAgile Development PracticesCassandraElasticSearchMachine Learning Operations (MLOps)regulatory needs
portfolio of diverse technology projectslead a team of developersdistributed microservicesfull stack systemsregulatory needscloud-based solutionsJavaPythonSQLRubyGoDockerKubernetesAnsibleTerraformAWS tools and servicesDevOps Engineeringcloud native technologiesAmazon Web ServicesAWSMicrosoft AzureGoogle Cloud PlatformUnixLinuxUnix or Linux system administrationcoding and scriptingJenkinsbuild and deployment toolsdistributed database systemsCassandraElasticSearchdeploying clustered web servicesAgile Development PracticesMachine Learning Operations experienceteam mentoring
leadershipmentoringcollaborationcross-functional collaborationstaying on top of tech trendsexperimenting with and learning new technologiesparticipating in internal & external technology communitiesiterative delivery
Industry Banking
Job Function Lead DevOps and MLOps engineering for regulated, cloud-native AI/ML and agentic workflow systems
Role Subtype DevOps Engineer
Tech Domains Amazon Web Services, Linux, Python, Java, Kubernetes, Docker
Visa Sponsorship No
Lead Software EngineerDevOpsMLOpsDevOps EngineerDevOps EngineeringCloud Nativecloud native technologiesAmazon Web ServicesAWSMicrosoft AzureGoogle Cloud PlatformUnixLinuxsystem administrationDockerKubernetesAnsibleTerraformJenkinsInfrastructure as Codebuild and deployment toolsdistributed microservicesfull stack systemsJavaPythonSQLRubyGoCassandraElasticSearchAgile Development PracticesMachine Learning Operations

Bachelor's degree, At least 4 years of experience in DevOps Engineering, At least 3 years of experience in Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform), At least 4 years of Unix or Linux system administration experience, No immigration sponsorship for this position

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