Remote DevOps Jobs
Remote DevOps jobs are open across the U.S. at remote-first firms and distributed engineering teams in software, cloud infrastructure, fintech, and healthcare technology. Employers hiring remotely right now include Enlighten, Convergint, and PEOPLECERT. See the openings below and apply to the ones that match your experience.
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Showing 5 of 227+ Remote DevOps jobs
Our Why At Dotmatics
At Dotmatics, a Siemens company, we believe science, data, and decision-making must be deeply intertwined for innovation to thrive. Our Portfolio includes Luma, LumaLab Connect, ELN Platform, Graphpad Prism, Geneious, SnapGene, Protein Metrics, OMIQ, FCS Express, LabArchives, NQuery, EasyPanel, SoftGenetics and Virscidian.
We have a vision for a new Lab of the Future that will change the future of scientific research.
We have created the world’s most comprehensive digital science platform – best-of-breed software applications already used by more than 2 million scientists, together in a single ecosystem united by a powerful, flexible enterprise data platform. This is not flat data buried away in digital graveyards. This is dynamic, multi-dimensional decision-making.
Scientific enterprises need a new level of effectiveness to achieve tomorrow’s breakthroughs. Illness will not wait. The biosphere will not wait. We are tireless in our vision, because the time for innovation is now.
Shaping the Future of Science At Dotmatics
Our global team of more than 800 colleagues are dedicated to supporting our customers in over 180 countries. Together, with our scientific community of users, we accelerate scientific innovation in order to make the world a healthier, cleaner, and safer place to live.
You’ll join a collaborative, global team pushing the boundaries of scientific innovation. Your ideas and efforts will have a tangible impact, accelerating scientific progress and discovery. We offer a dynamic, remote-friendly environment that fosters high integrity and collaboration, empowering you to excel. Dotmatics is a company built by scientists, for scientists. Combined, we are now the world’s largest cloud-based scientific research R&D platform. We need your help to keep growing and pioneering the future.
We are Science Driven. We are Customer Centric. We are Better Together.
What do we need
Dotmatics is seeking a DevOps Engineer to join our team working on ground-breaking Scientific Software products such as Luma. In this role, you will have the opportunity to apply your knowledge to help improve our processes, infrastructure and security by applying best practices with the latest technologies. You will be AI fluent and know how AI influences engineering and DevOps
In this role you will get to:
- Design and manage CI/CD and deployment pipelines for both AWS-native and Kubernetes-based applications
- Provide advice/assistance to the product teams, clarifying requirements for deployment
- Collaborate with product teams on cloud and container best practices
- Manage IT infrastructure in cloud computing environments
- Automation: Use CI tools to automate code changes, builds, testing, and analysis
- Monitoring: Monitor performance after release
- Develop and improve monitoring systems for automated alerts
- Strategy: Design and manage the DevOps infrastructure, pipelines, and processes
- SECURITY: Embed security into every stage of the delivery lifecycle (DevSecOps), including automated SAST, DAST, dependency, secrets, and container image scanning in CI/CD pipelines
- SECURITY: Implement and enforce least-privilege IAM, network segmentation, encryption in transit and at rest, and secrets management (e.g. AWS Secrets Manager, Vault, KMS)
- SECURITY: Harden Kubernetes clusters and cloud environments using policy-as-code, admission controls, runtime protection, and CIS/NIST benchmarks
- SECURITY: Support vulnerability management, incident response, audit readiness, and compliance efforts (e.g. SOC 2, ISO 27001)
- AI: Use AI-assisted tooling to accelerate pipeline development, infrastructure code, troubleshooting, and incident analysis
- AI: Apply AI/ML-driven capabilities to monitoring, including anomaly detection, alert noise reduction, and automated root-cause analysis
- AI: Build and operate deployment pipelines and infrastructure for AI/ML and LLM-based workloads, including model serving, GPU-enabled clusters, and cost controls
- AI: Establish guardrails for responsible AI use in engineering workflows, including data privacy, access controls, and review of AI-generated code and configuration
We are looking for people who have 8+ years of experience maintaining high-traffic applications and complex technical infrastructure. You will be someone with a proven background in supporting cloud environments, with hands-on experience translating AWS Well-Architected principles into action.
The key skills we are looking for:
- Kubernetes clusters/customer cloud environments
- AWS (ECS, EKS, ALB, EC2, S3, RDS, CloudFront, Route53, etc.)
- Infrastructure-as-code (Terraform, CloudFormation, Pulumi)
- CI/CD tools (Octopus Deploy, GitHub Actions, Jenkins, TeamCity, CodePipeline, etc.)
- APMs and logging (e.g. Datadog, Grafana, Prometheus, Loki, ELK, App Insights)
- Networking concepts in cloud environments
- Software development lifecycle processes/version control
- Security: DevSecOps practices, AWS security services (IAM, GuardDuty, Security Hub, WAF, Config, KMS), container and supply chain security (image signing, SBOMs), and security scanning tools (e.g. Trivy, Snyk, SonarQube, Checkov)
- Security: Familiarity with Kubernetes security (RBAC, network policies, Pod Security Standards, OPA/Kyverno) and secrets management
- AI: Practical experience using AI coding and operations assistants (e.g. GitHub Copilot, Claude, Amazon Q) to improve engineering productivity
- AI: Understanding of how to deploy and operate AI/ML workloads (e.g. Amazon Bedrock, SageMaker, model-serving on Kubernetes) and observe their performance and cost
- AI: Awareness of AI-specific risks such as prompt injection, data leakage, and insecure AI-generated code
You may also have:
- Scripting languages (e.g. Python, Bash)
- Linux administration and networking (e.g. HTTP/2)
- Microservice and serverless architectures
- Experience with GitOps tooling (e.g. Argo CD, Flux)
- Experience building internal tooling or agents that apply AI to DevOps workflows (e.g. automated incident triage, ChatOps)
- Relevant certifications (e.g. AWS Certified DevOps Engineer, AWS Security Specialty, CKA/CKS)
- Databases (e.g. PostgreSQL, MySQL, MongoDB)
- Exposure to AI-enabled tooling or workflows, with openness to incorporating AI into day-to-day work
Total Rewards
Dotmatics utilises a national market-based approach to base pay benchmarking and pay band development. The candidate's final starting pay is based on job-related skills, experience, job specific qualifications & location. In addition to base salary, Dotmatics has implemented a total rewards strategy, which is the combination of compensation, benefits and recognition.
Certain positions are also eligible for variable pay; your recruiter will discuss the full compensation package details.
Other Total Rewards Offered
- Medical, Dental, Vision, Insurance
- Health Spending Accounts
- Wellness Benefits (Mental Health Apps and Fitness Perks)
- Company-paid Life and Disability Insurance
- 401k Retirement Plan (with 4% company match; immediate vesting)
- Flexible Time off Plan (for US exempt employees)
This is the range that we, in good faith, believe is the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future.
Base Pay Range
$122,187 - $165,311 USD
Research shows us the confidence gap and imposter syndrome can get in the way of meeting outstanding candidates, so please don’t hesitate to apply — we’d love to hear from you.
By submitting your application, you agree that Dotmatics may collect your personal data for recruiting, global organization planning, and related purposes. Dotmatics Privacy Notice explains what personal information we may process, where we may process your personal information, our purposes for processing your personal information, and the rights you can exercise over Dotmatics use of your personal information.
Dotmatics is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work.
Our Why At Dotmatics
At Dotmatics, a Siemens company, we believe science, data, and decision-making must be deeply intertwined for innovation to thrive. Our Portfolio includes Luma, LumaLab Connect, ELN Platform, Graphpad Prism, Geneious, SnapGene, Protein Metrics, OMIQ, FCS Express, LabArchives, NQuery, EasyPanel, SoftGenetics and Virscidian.
We have a vision for a new Lab of the Future that will change the future of scientific research.
We have created the world’s most comprehensive digital science platform – best-of-breed software applications already used by more than 2 million scientists, together in a single ecosystem united by a powerful, flexible enterprise data platform. This is not flat data buried away in digital graveyards. This is dynamic, multi-dimensional decision-making.
Scientific enterprises need a new level of effectiveness to achieve tomorrow’s breakthroughs. Illness will not wait. The biosphere will not wait. We are tireless in our vision, because the time for innovation is now.
Shaping the Future of Science At Dotmatics
Our global team of more than 800 colleagues are dedicated to supporting our customers in over 180 countries. Together, with our scientific community of users, we accelerate scientific innovation in order to make the world a healthier, cleaner, and safer place to live.
You’ll join a collaborative, global team pushing the boundaries of scientific innovation. Your ideas and efforts will have a tangible impact, accelerating scientific progress and discovery. We offer a dynamic, remote-friendly environment that fosters high integrity and collaboration, empowering you to excel. Dotmatics is a company built by scientists, for scientists. Combined, we are now the world’s largest cloud-based scientific research R&D platform. We need your help to keep growing and pioneering the future.
We are Science Driven. We are Customer Centric. We are Better Together.
What do we need
Dotmatics is seeking a DevOps Engineer to join our team working on ground-breaking Scientific Software products such as Luma. In this role, you will have the opportunity to apply your knowledge to help improve our processes, infrastructure and security by applying best practices with the latest technologies. You will be AI fluent and know how AI influences engineering and DevOps
In this role you will get to:
- Design and manage CI/CD and deployment pipelines for both AWS-native and Kubernetes-based applications
- Provide advice/assistance to the product teams, clarifying requirements for deployment
- Collaborate with product teams on cloud and container best practices
- Manage IT infrastructure in cloud computing environments
- Automation: Use CI tools to automate code changes, builds, testing, and analysis
- Monitoring: Monitor performance after release
- Develop and improve monitoring systems for automated alerts
- Strategy: Design and manage the DevOps infrastructure, pipelines, and processes
- SECURITY: Embed security into every stage of the delivery lifecycle (DevSecOps), including automated SAST, DAST, dependency, secrets, and container image scanning in CI/CD pipelines
- SECURITY: Implement and enforce least-privilege IAM, network segmentation, encryption in transit and at rest, and secrets management (e.g. AWS Secrets Manager, Vault, KMS)
- SECURITY: Harden Kubernetes clusters and cloud environments using policy-as-code, admission controls, runtime protection, and CIS/NIST benchmarks
- SECURITY: Support vulnerability management, incident response, audit readiness, and compliance efforts (e.g. SOC 2, ISO 27001)
- AI: Use AI-assisted tooling to accelerate pipeline development, infrastructure code, troubleshooting, and incident analysis
- AI: Apply AI/ML-driven capabilities to monitoring, including anomaly detection, alert noise reduction, and automated root-cause analysis
- AI: Build and operate deployment pipelines and infrastructure for AI/ML and LLM-based workloads, including model serving, GPU-enabled clusters, and cost controls
- AI: Establish guardrails for responsible AI use in engineering workflows, including data privacy, access controls, and review of AI-generated code and configuration
We are looking for people who have 8+ years of experience maintaining high-traffic applications and complex technical infrastructure. You will be someone with a proven background in supporting cloud environments, with hands-on experience translating AWS Well-Architected principles into action.
The key skills we are looking for:
- Kubernetes clusters/customer cloud environments
- AWS (ECS, EKS, ALB, EC2, S3, RDS, CloudFront, Route53, etc.)
- Infrastructure-as-code (Terraform, CloudFormation, Pulumi)
- CI/CD tools (Octopus Deploy, GitHub Actions, Jenkins, TeamCity, CodePipeline, etc.)
- APMs and logging (e.g. Datadog, Grafana, Prometheus, Loki, ELK, App Insights)
- Networking concepts in cloud environments
- Software development lifecycle processes/version control
- Security: DevSecOps practices, AWS security services (IAM, GuardDuty, Security Hub, WAF, Config, KMS), container and supply chain security (image signing, SBOMs), and security scanning tools (e.g. Trivy, Snyk, SonarQube, Checkov)
- Security: Familiarity with Kubernetes security (RBAC, network policies, Pod Security Standards, OPA/Kyverno) and secrets management
- AI: Practical experience using AI coding and operations assistants (e.g. GitHub Copilot, Claude, Amazon Q) to improve engineering productivity
- AI: Understanding of how to deploy and operate AI/ML workloads (e.g. Amazon Bedrock, SageMaker, model-serving on Kubernetes) and observe their performance and cost
- AI: Awareness of AI-specific risks such as prompt injection, data leakage, and insecure AI-generated code
You may also have:
- Scripting languages (e.g. Python, Bash)
- Linux administration and networking (e.g. HTTP/2)
- Microservice and serverless architectures
- Experience with GitOps tooling (e.g. Argo CD, Flux)
- Experience building internal tooling or agents that apply AI to DevOps workflows (e.g. automated incident triage, ChatOps)
- Relevant certifications (e.g. AWS Certified DevOps Engineer, AWS Security Specialty, CKA/CKS)
- Databases (e.g. PostgreSQL, MySQL, MongoDB)
- Exposure to AI-enabled tooling or workflows, with openness to incorporating AI into day-to-day work
Total Rewards
Dotmatics utilises a national market-based approach to base pay benchmarking and pay band development. The candidate's final starting pay is based on job-related skills, experience, job specific qualifications & location. In addition to base salary, Dotmatics has implemented a total rewards strategy, which is the combination of compensation, benefits and recognition.
Certain positions are also eligible for variable pay; your recruiter will discuss the full compensation package details.
Other Total Rewards Offered
- Medical, Dental, Vision, Insurance
- Health Spending Accounts
- Wellness Benefits (Mental Health Apps and Fitness Perks)
- Company-paid Life and Disability Insurance
- 401k Retirement Plan (with 4% company match; immediate vesting)
- Flexible Time off Plan (for US exempt employees)
This is the range that we, in good faith, believe is the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future.
Base Pay Range
$122,187 - $165,311 USD
Research shows us the confidence gap and imposter syndrome can get in the way of meeting outstanding candidates, so please don’t hesitate to apply — we’d love to hear from you.
By submitting your application, you agree that Dotmatics may collect your personal data for recruiting, global organization planning, and related purposes. Dotmatics Privacy Notice explains what personal information we may process, where we may process your personal information, our purposes for processing your personal information, and the rights you can exercise over Dotmatics use of your personal information.
Dotmatics is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work.
See All 227+ Remote DevOps Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote DevOps JobsRemote DevOps Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software12
- Law & Legal Services1
- Banking & Financial Services1
- Non-Profit & Social Services1
- Healthcare & Medical Services1
What Employers Look For
The qualifications that appear most often in remote DevOps jobs.
- Hands-on experience with container orchestration platforms such as Kubernetes or Docker Swarm
- Proficiency with at least one major cloud provider, typically AWS, Azure, or GCP
- Experience building and maintaining CI/CD pipelines using tools like Jenkins, GitLab CI, or GitHub Actions
- Infrastructure-as-code skills using Terraform, Ansible, or CloudFormation
- Scripting ability in Python, Bash, or Go to automate operational tasks
- Familiarity with monitoring and observability tooling such as Prometheus, Grafana, or Datadog
Tips for Your Remote DevOps Job Search
Apply early to remote roles that fit
Migrate Mate lists remote devops openings from across the U.S. in one place, so you can find roles that match your stack and apply directly. Applying in the first 48 hours of a posting going live consistently improves your response rate.
Show your async documentation skills
Remote devops teams run on written clarity. Include links to runbooks, incident postmortems, or architecture decision records you have authored. Employers hiring remotely treat your ability to document infrastructure decisions as a core job skill, not a bonus.
Build a public infrastructure portfolio
Push real projects to GitHub: Terraform modules, Helm charts, CI/CD pipeline configs, or container orchestration setups. Remote hiring managers use your public repositories to evaluate hands-on ability before they ever schedule a call with you.
Prepare for remote-first technical interviews
Remote devops interviews often include live troubleshooting sessions over screen share and async take-home infrastructure challenges. Practice explaining your diagnostic process out loud while working through Kubernetes failures, misconfigured pipelines, or cloud cost anomalies.
Remote DevOps Jobs: Frequently Asked Questions
How do I get a remote devops job?
Target remote-first companies and distributed engineering teams that build their workflows around async collaboration from day one. Remote devops employers screen heavily for self-direction, written communication, and hands-on fluency with tools like Terraform, Kubernetes, CI/CD pipelines, and cloud platforms such as AWS or GCP. Candidates who can document their infrastructure decisions clearly and troubleshoot independently without a nearby team give themselves a real edge.
Which companies hire remote devopss?
Companies hiring remote devopss right now include Enlighten, Convergint, and PEOPLECERT, based on current remote listings on Migrate Mate as of November 2026. Remote devops roles are concentrated at remote-first software companies, cloud-native startups, and distributed teams in fintech, healthcare technology, and enterprise SaaS.
Can you get a remote devops job with no experience?
Yes, but remote entry-level devops roles are harder to land because employers expect you to troubleshoot and ship independently from day one. Your strongest path is building a public portfolio on GitHub that demonstrates real infrastructure work: automated pipelines, containerized deployments, or cloud provisioning scripts. Remote-first startups and smaller distributed teams are more willing to hire junior devopss who can show concrete, self-directed project work.
Do you need a degree for remote devops jobs?
Not always. Remote devops employers care far more about what you can build and automate than what your diploma says. Demonstrated fluency with tools like Kubernetes, Terraform, Docker, and a major cloud provider carries more weight than a degree in most hiring conversations. Certifications from AWS, Google Cloud, or the Linux Foundation can substitute effectively for a traditional computer science background.
Which industries hire the most remote devopss?
The sectors hiring the most remote devopss are Technology & Software, Law & Legal Services, and Banking & Financial Services, based on current remote listings on Migrate Mate as of November 2026. These industries rely on distributed engineering teams that depend on devops to automate deployments, maintain uptime, and scale infrastructure without requiring anyone to be on-site.
See All 227+ Remote DevOps Jobs
Find roles that match your experience and apply in just a few clicks.
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