ZipRecruiter

Log In

2

Remote Devsecops Engineer Jobs in Richmond, VA (NOW HIRING)

Digital Links Inc

Senior DevOps Engineer

Ruther Glen, VA · Remote

$133K - $170K/yr

Remote - DMV Position Summary We are seeking a highly skilled Senior DevOps / Cloud Engineer to ... Experience with security scanning, policy enforcement, and DevSecOps practices. Experience ...

3E

Manager, Security and Trust Engineering

Richmond, VA · Remote

$160K - $175K/yr

This position supports remote work, preferably in EST or CST. What You'll Do As the AI Security ... Experience working directly with Engineering, DevSecOps, Platform, Infrastructure, Security ...

All JobsDevsecops Engineer JobsRemote Devsecops Engineer JobsRemote Devsecops Engineer Jobs in Richmond, VA

Remote Devsecops Engineer information

See Richmond, VA salary details

$37.6K

$114.7K

$189.5K

How much do remote devsecops engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote devsecops engineer in Richmond, VA is $114,663.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,100.00 and $149,900.00 per year, depending on experience, location, and employer.

What is a remote DevSecOps engineer?

A Remote DevSecOps Engineer is responsible for integrating security practices into the development and operations (DevOps) lifecycle while working from a remote location. They ensure secure CI/CD pipelines, automate security testing, and enforce compliance standards across cloud and on-premise infrastructure. Their role involves collaboration with developers, operations teams, and security personnel to identify vulnerabilities, implement security controls, and respond to threats efficiently. By leveraging tools like container security, infrastructure as code (IaC) scanning, and automated security monitoring, they help maintain a secure and agile software development process.

What are the key skills and qualifications needed to thrive as a remote DevSecOps engineer?

To excel as a Remote Devsecops Engineer, you need strong expertise in cloud platforms, CI/CD pipelines, security best practices, and Infrastructure as Code, typically backed by a degree in computer science or a related field. Familiarity with tools such as AWS, Azure, Jenkins, Docker, Kubernetes, Terraform, and certifications like AWS Certified DevOps Engineer or Certified Kubernetes Security Specialist is highly valuable. Excellent problem-solving abilities, proactive communication, and a collaborative mindset are critical soft skills. These capabilities enable seamless integration of security into development and operations, ensuring robust, scalable, and secure systems in distributed teams.

What are some common challenges faced by remote DevSecOps engineers and how can they be managed?

Remote Devsecops Engineers often encounter challenges such as coordinating security practices across globally distributed teams, ensuring continuous security monitoring in dynamic cloud environments, and quickly responding to incidents. Effective communication, clear documentation, and regular virtual meetings help bridge gaps and align team efforts. Utilizing automated security tools and centralized monitoring systems is essential for maintaining consistent security standards. Proactively seeking collaboration and ongoing professional development can help overcome these hurdles and lead to a rewarding remote work experience.

What are popular job titles related to Remote Devsecops Engineer jobs in Richmond, VA?

For Remote Devsecops Engineer jobs in Richmond, VA, the most frequently searched job titles are:

What job categories do people searching Remote Devsecops Engineer jobs in Richmond, VA look for?

The top searched job categories for Remote Devsecops Engineer jobs in Richmond, VA are:

What cities near Richmond, VA are hiring for Remote Devsecops Engineer jobs?

Cities near Richmond, VA with the most Remote Devsecops Engineer job openings:

Remote Devsecops Engineer jobs near you
Infographic showing various Remote Devsecops Engineer job openings in Richmond, VA as of August 2026, with employment types broken down into 69% Full Time, and 31% Part Time. Highlights an 100% Remote job distribution, with an average salary of $114,663 per year, or $55.1 per hour.

Senior DevOps Engineer

Digital Links Inc

Ruther Glen, VA • Remote

$133K - $170K/yr

Contractor

Posted 9 days ago

Job description

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 troubleshooting 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.