Top 750 Cloud engineer worldwide Jobs in Remote

Principal DevSecOps / Platform Engineer
General Dynamics Information Technology —Indiana
- $113,900 - $154,100 a year
- Remote
- 5 years
- Bachelor's degree
- Travel
- Paid time off
- 401(k) matching
ITIL Automation / Orchestration Engineer
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- $144,500 - $195,500 a year
- Remote
- 8 years
- Bachelor's degree
- JavaScript
Solution Director for Digital Engineering
General Dynamics Information Technology —Indiana
- $191,250 - $258,750 a year
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- Up to 50% travel
- Customer service
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Software Engineer, Dev Velocity (all levels)
Render —Remote
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- Full-time
- Remote
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Solutions Engineer
Render —Remote
- $230,000 - $300,000 a year
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- 8 years
- AWS
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Azure Cloud Engineer
General Dynamics Information Technology —Remote
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- Azure
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8d
Cloud Engineer
SOSi —Myrtle Point, OR
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- Full-time
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- 5 years
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Software Engineer, Growth (all levels)
Render —Remote
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- Full-time
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- 6 years
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Cloud Engineer
Onyx CenterSource —Remote
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Senior Systems Software Engineer, Kubernetes Scale - DGX Cloud
NVIDIA —Seattle, WA
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- Full-time
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Software Engineer L2 - Cloud Infrastructure
Twilio —Remote
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4d
Software Engineer, Infrastructure (all levels)
Render —Remote
- $170,000 - $290,000 a year
- Full-time
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- 5 years
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AI & Automation Engineer
Minted —Remote
- $96,720 - $138,338 a year
- Full-time
- Remote
- DevOps
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- Mid-level
- Commuter assistance
- Paid parental leave
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Cloud Security Engineer
SOSi —Remote
- Part-time
- Remote
- 5 years
- Mid-level
- Bachelor's degree
Quick Apply
Software Engineer, Product (all levels)
Render —Remote
- $170,000 - $295,000 a year
- Full-time
- Remote
- 6 years
- Mid-level
- APIs
- Commuter assistance
- Paid parental leave
Software Engineer, Billing (all levels)
Render —Remote
- $170,000 - $290,000 a year
- Full-time
- Remote
- Mid-level
- 3 years
- SQL
- Commuter assistance
- Paid parental leave
Senior Cloud Engineer (Remote)
DV Trading —Chicago, IL
- Remote
- 5 years
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Cloud Architect/Engineer (AWS) Senior
General Dynamics Information Technology —Remote
- $169,604 - $229,464 a year
- Remote
- Computer Science
- DevOps
- Bachelor's degree
- Paid time off
- 401(k) matching
8d
Senior Cloud Engineer
Live Nation —Remote
- $120,000 - $150,000 a year
- Full-time
- 5 years
- Windows
- Continuous improvement
- Health savings account
- Paid holidays
F-35 Cloud Engineer Mid (Remote)
HII —Arlington, VA
- $110,000 - $140,000 a year
- Extended hours
- Remote
- Computer science
- Computer Science
- Writing skills
- Paid holidays
- Health insurance

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Principal DevSecOps / Platform Engineer

General Dynamics Information Technology -
Indiana

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Job Details

$113,900 - $154,100 a year

Benefits

Internal mobility program
Paid time off
401(k) matching

Qualifications

AI models
DevSecOps Practices
Test scanning software
Software engineering
Linux support
Tooling
Infrastructure as Code (IaC)
Cloud management tools
Application deployment
Machine intelligence
Model deployment
DevOps automation
AI-driven automation
Application security testing
Developer tools
Linux administration
Shell Scripting
Vuls

Full Job Description

Your Impact

Own your opportunity to support our nation's defense. Make an impact by connecting and securing critical operations across the globe, keeping our country safe and secure.

Job Description

Principal DevSecOps / Platform Engineer

We are seeking a developer-focused DevSecOps engineer to join a high-performing team building and operating software factories, security automation platforms, and AI-enabled development environments for Department of Defense and Federal customers. This role emphasizes hands-on software development within a DevSecOps context - you will write production code, build tooling, and develop applications, not just configure pipelines.

The team supports multiple concurrent internal R&D efforts and customer delivery engagements across defense and federal programs. You will contribute to a range of workstreams including agentic AI application development, software factory platform enhancements, security and compliance automation, and secure software delivery for classified environments.

MEANINGFUL WORK AND PERSONAL IMPACT

Work across a broad portfolio rather than a single narrow program - variety and exposure to cutting-edge problems in government software delivery
Significant investment in AI, automation, and modern platform engineering - not legacy maintenance
Small, senior team where individual contributions have outsized impact
Opportunity to shape how the our customers' missions are built and delivered using secure software at scale
Exposure to Growth activities (proposals, customer engagements) for engineers who want to develop business acumen alongside technical depth

KEY RESPONSIBILITIES

DevSecOps Engineering - Primary Focus

Utilize AI-assisted Development tools and frameworks to:

Design, develop, and maintain CI/CD pipelines for build, test, security scanning, and release across unclassified and classified environments
Integrate and operate security scanning toolchains (SAST, SCA, container scanning, SBOM generation) as automated pipeline stages
Use AI-assisted development workflows daily — code generation, automated testing, intelligent code review, and documentation — and champion their adoption across teams
Contribute to the development of agentic AI capabilities including tool orchestration, prompt engineering, and workflow automation
Build tooling and automation to support continuous Authority to Operate (cATO) processes, including automated evidence collection, compliance reporting, and policy enforcement
Develop and maintain hardening pipeline templates that product teams consume for secure-by-default software delivery
Support platform's security pipeline layer — build, test, and release process for software packages that include both application code and runtime platform components
Implement and enforce software supply chain security controls (signing, provenance, artifact integrity)
Troubleshoot build and deployment failures, support development teams consuming shared pipeline services

Platform Engineering

Deploy and operate Kubernetes clusters (Big Bang / Iron Bank baseline) in classified (CUI/IL5) environments
Deploy, configure, and support AI-powered development tools (GitLab Duo, LLM-based code assistants, agentic AI frameworks) for platform consumers and internal team use
Support AI/ML platform infrastructure (model serving, GPU workloads, data pipelines) as part of the broader platform offering
Stand up and maintain shared platform services: Harbor (container registry), Nexus (artifact repository), Vault (secrets management), ArgoCD (GitOps deployment)
Implement Infrastructure-as-Code for environment provisioning, cluster lifecycle, and configuration management (Terraform, Ansible)
Support multi-cluster management and hub/spoke deployment models — build in shared services, deploy into downstream accounts
Configure and troubleshoot network connectivity, Zscaler integration, and Okta/SAML identity federation for platform consumers
Contribute to platform evolution including self-service namespaces, developer onboarding, and golden-path templates
Maintain and improve multiple production software factory environments serving diverse federal customers
Contribute to runbooks, operational documentation, and incident response procedures

WHAT YOU’LL NEED TO SUCCEED - REQUIRED SKILLS
Bring your engineering expertise along with a drive for innovation to GDIT. The DevOps Engineer Principal must have:

Education: Bachelor's degree and 8+ years experience. In lieu of degree 12+ years of hands-on experience
Experience: 5+ years of related experience in Software Engineering, DevOps / DevSecOps technologies; 3+ years of hands on experience with Kubernetes

Experience using AI-powered development tools (code assistants, LLM-based tooling, AI-augmented workflows) in daily engineering work — and enthusiasm for pushing their adoption forward
Hands-on experience with CI/CD pipeline development — GitLab CI strongly preferred; Jenkins, GitHub Actions, or similar accepted
Experience integrating security scanning tools into automated pipelines (SAST, DAST, SCA, container image scanning)
Proficiency with Infrastructure as Code (Terraform and/or Ansible)
Experience with containerization (Docker, Helm, OCI artifacts) and container registry management
Strong Linux systems skills — administration, shell scripting, troubleshooting
Solid understanding of Git-based workflows, branching strategies, and GitOps deployment patterns
Experience working in or deploying to classified or air-gapped environments
Ability to work across multiple concurrent projects with shifting priorities
Strong written and verbal communication skills
Security clearance level: Secret Clearance required to start
Location: Remote with travel up to 10%
Citizenship: US Citizenship

PREFERRED QUALIFICATIONS

Experience with Platform One / Big Bang, Iron Bank baselines, or DoW-hardened Kubernetes distributions
Familiarity with DoW security and authorization frameworks (NIST 800-53, RMF, cATO, software factory authorization patterns)
Knowledge of software supply chain security practices — artifact signing, attestation, and SBOM generation (e.g., Sigstore/Cosign, Syft, in-toto)
Experience deploying or operating AI/ML infrastructure or AI development platforms in enterprise or air-gapped environments (model serving, GPU scheduling on K8s, enterprise code-assistant rollout)
Experience supporting growth activities — contributing to proposals, RFI responses, or technical briefings, and engaging customers as a technical SME

GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.

Growth: AI-powered career tool that identifies career steps and learning opportunities
Support: An internal mobility team focused on helping you achieve your career goals
Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
Community: Award-winning culture of innovation and a military-friendly workplace

OWN YOUR OPPORTUNITY
Explore a career in software development at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your dedication to advancing innovation.

Work Requirements

Years of Experience

8 + years of related experience

may vary based on technical training, certification(s), or degree

Certification

Travel Required

Less than 10%

Citizenship

U.S. Citizenship Required

Salary and Benefit Information

The likely salary range for this position is $113,900 - $154,100. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
View information about benefits and our total rewards program.

Our Identity Verification Process

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.

Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Apply Now

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