Remote Senior Devops Engineer Jobs
Remote Senior Devops Engineer jobs are open across the U.S. in cloud infrastructure, fintech, SaaS, cybersecurity, and enterprise software, where distributed engineering teams need senior-level ownership of CI/CD pipelines, container orchestration, and cloud platforms. Companies hiring remotely right now include Five9, Ad Hoc, and Pacvue. Find a role that fits below and apply directly.
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Role: Senior DevOps / Cloud Engineer (AWS, GCP, AI Platform Operations)
Location: Remote - DMV
Position Summary
We are seeking a highly skilled Senior DevOps / Cloud Engineer to support and enhance our existing AWS-based workloads while helping establish and expand our upcoming Google Cloud Platform (GCP) environment. This role requires deep hands-on expertise in cloud infrastructure, CI/CD, automation, application deployment, security, compliance-driven engineering, and AI platform deployment and configuration management. The ideal candidate will have strong experience in designing, building, automating, and supporting cloud-native and hybrid environments across AWS and GCP. This individual must be capable of working independently, owning technical deliverables end-to-end, and driving implementation of reliable, secure, scalable, and compliant DevOps practices.
Key Responsibilities
- Support, maintain, and optimize existing AWS cloud workloads and infrastructure.
- Assist in building and operationalizing GCP support capabilities for new and future workloads.
- Design, implement, and manage CI/CD pipelines for application and infrastructure delivery.
- Deploy, manage, and troubleshoot applications across AWS and GCP environments.
- Automate infrastructure provisioning, configuration management, and operational tasks using tools such as Ansible and Python.
- Implement and support Infrastructure as Code and environment standardization practices.
- Support deployment, configuration, and operational management of AI and ML platforms and supporting infrastructure in cloud environments.
- Automate provisioning, configuration, and lifecycle management for AI-enabled infrastructure and services.
- Collaborate with engineering and platform teams to enable secure, scalable, and compliant environments for AI workloads, without requiring hands-on AI application or model development.
- Ensure cloud environments and deployment processes align with security and compliance requirements, including regulated frameworks such as FedRAMP or similar.
- Monitor system health, availability, and performance, and proactively resolve operational issues.
- Create and maintain technical documentation, runbooks, architecture diagrams, and standard operating procedures.
- Independently manage assigned work items, priorities, and deliverables with minimal supervision.
- Contribute to platform engineering best practices, cloud governance, and automation strategy.
Required Qualifications
- 10+ years of overall IT experience, with significant focus on DevOps, cloud engineering, systems engineering, or platform engineering.
- Strong hands-on experience supporting and deploying workloads in AWS.
- Working knowledge or hands-on experience with GCP, including deployment and support of applications and cloud services.
- Proven experience designing and implementing CI/CD processes and tools in enterprise environments.
- Strong hands-on experience with automation and scripting using Ansible and Python.
- Experience deploying, configuring, and supporting applications in cloud environments.
- Experience supporting AI and ML platform deployments and configuration management, focused on infrastructure, automation, and operations rather than application or model development.
- Strong understanding of infrastructure automation, configuration management, release engineering, and platform operations.
- Experience working in compliance-driven environments, such as FedRAMP, NIST-based environments, or similar regulated frameworks.
- Experience with source control and DevOps toolchains such as Git, Jenkins, GitLab CI, GitHub Actions, or similar platforms.
- Knowledge of containerization and orchestration technologies such as Docker and Kubernetes.
- Strong troubleshooting, problem-solving, and root cause analysis skills.
- Excellent verbal and written communication skills.
- Ability to work independently and deliver technical work items with minimal oversight.
Preferred Qualifications
- Experience with Terraform, CloudFormation, or other Infrastructure as Code tools.
- Experience supporting AI/ML infrastructure and operational environments in cloud platforms.
- Experience supporting multi-cloud environments.
- Familiarity with cloud networking, IAM, secrets management, logging, and observability tools.
- Experience with security scanning, policy enforcement, and DevSecOps practices.
- Experience supporting cloud-native AI services, MLOps-enabling infrastructure, GPU-based workloads, or model hosting environments.
- Familiarity with services such as Amazon SageMaker, Vertex AI, container-based AI platforms, or similar technologies.
- Experience in government, healthcare, or other highly regulated environments.
- Relevant AWS and/or Google Cloud certifications are preferred.
Technical Skills
- Cloud Platforms: AWS, GCP
- Automation/Scripting: Ansible, Python, Bash
- CI/CD Tools: Jenkins, GitLab CI, GitHub Actions, or similar
- Source Control: Git
- Infrastructure as Code: Terraform, CloudFormation, CDK, GCP Deployment Manager or similar
- Containers/Orchestration: Docker, Kubernetes
- Compliance/Security: FedRAMP, NIST, security hardening, audit support
- Monitoring/Logging: Cloud-native and third-party monitoring and observability tools
Desired Characteristics
- Self-starter with a strong ownership mindset.
- Able to independently plan and execute technical tasks.
- Detail-oriented with strong documentation discipline.
- Comfortable working in fast-paced, evolving cloud environments.
- Strong collaboration skills across engineering, security, and operations teams.
Role: Senior DevOps / Cloud Engineer (AWS, GCP, AI Platform Operations)
Location: Remote - DMV
Position Summary
We are seeking a highly skilled Senior DevOps / Cloud Engineer to support and enhance our existing AWS-based workloads while helping establish and expand our upcoming Google Cloud Platform (GCP) environment. This role requires deep hands-on expertise in cloud infrastructure, CI/CD, automation, application deployment, security, compliance-driven engineering, and AI platform deployment and configuration management. The ideal candidate will have strong experience in designing, building, automating, and supporting cloud-native and hybrid environments across AWS and GCP. This individual must be capable of working independently, owning technical deliverables end-to-end, and driving implementation of reliable, secure, scalable, and compliant DevOps practices.
Key Responsibilities
- Support, maintain, and optimize existing AWS cloud workloads and infrastructure.
- Assist in building and operationalizing GCP support capabilities for new and future workloads.
- Design, implement, and manage CI/CD pipelines for application and infrastructure delivery.
- Deploy, manage, and troubleshoot applications across AWS and GCP environments.
- Automate infrastructure provisioning, configuration management, and operational tasks using tools such as Ansible and Python.
- Implement and support Infrastructure as Code and environment standardization practices.
- Support deployment, configuration, and operational management of AI and ML platforms and supporting infrastructure in cloud environments.
- Automate provisioning, configuration, and lifecycle management for AI-enabled infrastructure and services.
- Collaborate with engineering and platform teams to enable secure, scalable, and compliant environments for AI workloads, without requiring hands-on AI application or model development.
- Ensure cloud environments and deployment processes align with security and compliance requirements, including regulated frameworks such as FedRAMP or similar.
- Monitor system health, availability, and performance, and proactively resolve operational issues.
- Create and maintain technical documentation, runbooks, architecture diagrams, and standard operating procedures.
- Independently manage assigned work items, priorities, and deliverables with minimal supervision.
- Contribute to platform engineering best practices, cloud governance, and automation strategy.
Required Qualifications
- 10+ years of overall IT experience, with significant focus on DevOps, cloud engineering, systems engineering, or platform engineering.
- Strong hands-on experience supporting and deploying workloads in AWS.
- Working knowledge or hands-on experience with GCP, including deployment and support of applications and cloud services.
- Proven experience designing and implementing CI/CD processes and tools in enterprise environments.
- Strong hands-on experience with automation and scripting using Ansible and Python.
- Experience deploying, configuring, and supporting applications in cloud environments.
- Experience supporting AI and ML platform deployments and configuration management, focused on infrastructure, automation, and operations rather than application or model development.
- Strong understanding of infrastructure automation, configuration management, release engineering, and platform operations.
- Experience working in compliance-driven environments, such as FedRAMP, NIST-based environments, or similar regulated frameworks.
- Experience with source control and DevOps toolchains such as Git, Jenkins, GitLab CI, GitHub Actions, or similar platforms.
- Knowledge of containerization and orchestration technologies such as Docker and Kubernetes.
- Strong troubleshooting, problem-solving, and root cause analysis skills.
- Excellent verbal and written communication skills.
- Ability to work independently and deliver technical work items with minimal oversight.
Preferred Qualifications
- Experience with Terraform, CloudFormation, or other Infrastructure as Code tools.
- Experience supporting AI/ML infrastructure and operational environments in cloud platforms.
- Experience supporting multi-cloud environments.
- Familiarity with cloud networking, IAM, secrets management, logging, and observability tools.
- Experience with security scanning, policy enforcement, and DevSecOps practices.
- Experience supporting cloud-native AI services, MLOps-enabling infrastructure, GPU-based workloads, or model hosting environments.
- Familiarity with services such as Amazon SageMaker, Vertex AI, container-based AI platforms, or similar technologies.
- Experience in government, healthcare, or other highly regulated environments.
- Relevant AWS and/or Google Cloud certifications are preferred.
Technical Skills
- Cloud Platforms: AWS, GCP
- Automation/Scripting: Ansible, Python, Bash
- CI/CD Tools: Jenkins, GitLab CI, GitHub Actions, or similar
- Source Control: Git
- Infrastructure as Code: Terraform, CloudFormation, CDK, GCP Deployment Manager or similar
- Containers/Orchestration: Docker, Kubernetes
- Compliance/Security: FedRAMP, NIST, security hardening, audit support
- Monitoring/Logging: Cloud-native and third-party monitoring and observability tools
Desired Characteristics
- Self-starter with a strong ownership mindset.
- Able to independently plan and execute technical tasks.
- Detail-oriented with strong documentation discipline.
- Comfortable working in fast-paced, evolving cloud environments.
- Strong collaboration skills across engineering, security, and operations teams.
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Who's Hiring
Top Industries Hiring
- Technology & Software
- Healthcare & Medical Services
What Employers Look For
The qualifications that appear most often in remote senior devops engineer jobs.
- 5+ years of experience with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI
- Hands-on expertise with container orchestration platforms, primarily Kubernetes
- Proficiency with infrastructure-as-code tools including Terraform or Pulumi
- Deep experience with at least one major cloud provider: AWS, GCP, or Azure
- Strong scripting ability in Python, Bash, or Go for automation and tooling
- Familiarity with observability stacks including Prometheus, Grafana, or Datadog
Tips for Your Remote Senior Devops Engineer Job Search
Apply early to remote roles that fit
Migrate Mate lists remote senior devops engineer openings from across the U.S. in one place, so you can find roles that match your cloud platform experience and apply directly without sorting through on-site listings mixed in.
Show async communication as a core skill
Remote devops teams run on written handoffs, documented runbooks, and asynchronous incident postmortems. Include concrete examples of Confluence documentation, Slack-based on-call coordination, or structured pull request reviews that show you communicate clearly without real-time back-and-forth.
Build a public infrastructure portfolio
Remote hiring managers can't watch you work, so they evaluate your GitHub. Publish Terraform modules, Helm charts, or GitHub Actions workflows that demonstrate real production thinking. A repository showing opinionated infrastructure decisions is stronger than a resume bullet.
Prepare for remote-first technical screens
Remote senior devops interviews commonly involve live pairing in shared terminals using tools like VS Code Live Share or a shared Kubernetes sandbox. Practice debugging a broken CI pipeline or tracing a latency spike out loud so your reasoning is audible, not just your keystrokes.
Remote Senior Devops Engineer Jobs: Frequently Asked Questions
How do I get a remote senior devops engineer job?
Target remote-first companies and distributed engineering teams in SaaS, fintech, and cloud infrastructure, where async-heavy workflows are standard for senior devops engineers. Remote employers screen heavily for self-direction, clear written communication, and demonstrated ownership of production systems without in-person oversight. A strong GitHub history, public infrastructure-as-code work, and evidence of async incident response all give you a concrete edge.
Which companies hire remote senior devops engineers?
Employers currently hiring remote senior devops engineers include Five9, Ad Hoc, and Pacvue, per current remote listings on Migrate Mate as of August 2026. Remote-first firms and distributed engineering teams across SaaS, fintech, and enterprise cloud infrastructure tend to hire this role remotely most consistently.
Can you get a remote senior devops engineer job with no experience?
Yes, but remote entry-level devops roles are harder to land because employers expect you to troubleshoot and make infrastructure decisions independently from day one. Candidates who build public projects using Terraform, Kubernetes, or CI/CD pipelines and contribute to open-source infrastructure tooling give hiring managers something concrete to evaluate. Smaller remote-first startups and contract-to-hire roles are the most realistic starting points.
Do you need a degree for remote senior devops engineer jobs?
Not always. Remote employers hiring senior devops engineers consistently weight hands-on cloud and automation skills, certifications like AWS Solutions Architect or Certified Kubernetes Administrator, and a demonstrable history of owning production infrastructure over formal credentials. A portfolio showing real incident management, pipeline architecture, and reliability improvements carries more weight than a degree at the senior level.
Which industries hire the most remote senior devops engineers?
Most remote senior devops engineer openings sit in Technology & Software and Healthcare & Medical Services, per current remote listings on Migrate Mate as of August 2026. These sectors rely on distributed engineering teams that need senior devops engineers to manage cloud infrastructure, deployment automation, and system reliability across time zones without requiring on-site presence.
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