Top 3844 Cloud engineer Jobs in Belle Haven, Va

Cloud Engineer Senior
Freddie Mac —McLean, VA
- $122,000 - $184,000 a year
- Full-time
- 5 years
- Bachelor's degree
- Fair chance
4d
Cloud Platform Engineer - AI Trainer
DataAnnotation —Washington, DC
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Quick Apply
Cloud Engineer
CACI —Chantilly, VA
- $90,300 - $189,600 a year
- Full-time
- 5 years
- DevOps
- System design
- Health insurance
Cloud Engineer, Journeyman
CGI Group, Inc. —Arlington, VA
- $100,000 - $150,000 a year
- Azure
- System design
- Mid-level
- Paid parental leave
- Paid holidays
Cloud Infrastructure Engineer
CORAS —McLean, VA
- $128,000 - $145,000 a year
- Full-time
- Remote
- Mid-level
- 3 years
- Computer networking
- Health insurance
- Dental insurance
Quick Apply
Cloud Engineer
Stefanini —McLean, VA
- Contract
- Computer science
- Azure
- Computer Science
Quick Apply
Cloud Solutions Engineer
T and T Consulting Services Inc —Silver Spring, MD
- $101,000 - $113,000 a year
- Remote
- Azure
- Mid-level
- AWS
- Paid holidays
- Health insurance
Quick Apply
3d
Cloud Engineer
Ellumen —Silver Spring, MD
- $110,000 - $120,000 a year
- Full-time
- Remote
- 5 years
- Maintenance
- Bachelor's degree
- Health insurance
Quick Apply
DevOps Engineer I
Tesla Government —Falls Church, VA
- $85,000 - $95,000 a year
- Full-time
- Remote
- Java
- Computer networking
- Linux
- Paid holidays
- Health insurance
3d
DevOps Cloud Engineer
Rapid Finance —Bethesda, MD
- Full-time
- Research
- Mid-level
- Windows
- Tuition reimbursement
- Paid time off
Quick Apply
Cloud Engineer I
IFS Softeon —Reston, VA
- $75,000 - $90,000 a year
- Full-time
- Hybrid work
- Computer science
- Azure
- Computer Science
Junior Cloud Engineer (Hybrid)
ISI Enterprises —Herndon, VA
- $80,000 - $95,000 a year
- Full-time
- Hybrid work
- SharePoint
- Communication skills
- Entry level
- Paid time off
- Opportunities for advancement
Cloud Engineer (AWS)
Contact Government Services, LLC —Arlington, VA
- $99,008 - $134,368 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Mid-level
- Health insurance
- Dental insurance
Quick Apply
Cloud Platform Engineer
Credence —McLean, VA
- $100,000 - $180,000 a year
- Full-time
- Hybrid work
- Computer Science
- 5 years
- Windows
Quick Apply
IT Specialist (Systems and Cloud Engineer)
US Federal Communications Commission —Washington, DC
- $143,913 - $187,093 a year
- Online Application
- Background check
- 18 years or older
- Azure
- Health insurance
- Dental insurance
12d
Senior Marine Electronics Exterior Communication Engineer
Pantheon Data —Washington, DC
- $90,000 - $110,000 a year
- Full-time
- Hybrid work
- Microsoft Excel
- 6 years
- Microsoft Outlook
- Tuition reimbursement
Quick Apply
Cloud Engineer with TS/SCI
OneGlobe LLC —Washington, DC
- Full-time
- Hybrid work
- Background check
- Azure
- AWS
- Health insurance
- Dental insurance
Quick Apply
Cloud DevSecOps Engineer
General Dynamics Information Technology —Chantilly, VA
- $142,792 - $172,500 a year
- Hybrid work
- 8 years
- Bachelor's degree
- Travel
- Paid time off
- 401(k) matching
Platform DevSecOps Engineer (US citizen/Hybrid/Secret Clearance Required)
IvoryCloud —Rockville, MD
- $155,000 - $185,000 a year
- Full-time
- Hybrid work
- Computer Science
- System design
- Research
- Health insurance
- Dental insurance
Quick Apply
Senior Full Stack Engineer
General Dynamics Information Technology —Arlington, VA
- $147,050 - $198,950 a year
- Hybrid work
- Computer science
- Computer Science
- Office
- Paid time off
- 401(k) matching

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cloud engineer jobs near belle haven, va

Cloud Engineer Senior

Freddie Mac -
McLean, VA

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Job Details

Full-time
$122,000 - $184,000 a year
4 days ago

Qualifications

AI models
Containerization systems
AWS IAM
Continuous Delivery (CD) implementation
Tooling
Infrastructure as Code (IaC)
Generative models
Application deployment
AI platforms (beyond public GPTs)
Prompt engineering
Policy & process development
Developing data pipelines
System deployment
Cloud automation
DevOps automation
AI-driven automation
Python
Generative AI

Full Job Description

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.

Position Overview:

You are responsible for engineering, automating, and securing platform tools and secrets management infrastructure across enterprise environments. This role focuses on operational excellence for middleware platforms (Kafka, AMQ, Apigee, Control-M), secrets lifecycle management (HashiCorp Vault, AWS Secrets Manager), and driving AI-powered automation to modernize how platform services are provisioned, monitored, and governed.

Our Impact:

We ensure the reliability, security, and operational efficiency of enterprise platform services that underpin hundreds of applications across Freddie Mac. By standardizing secrets management, automating platform operations, and leveraging AI for intelligent insights, we reduce operational risk, accelerate onboarding, and enable teams to focus on delivering business value rather than managing infrastructure.

Your Impact:

Automate platform tool operations (Confluent Kafka, Amazon MQ, Apigee, Control-M, Athena, Dynatrace) through Infrastructure as Code, custom tooling, and CI/CD pipeline integration.
Design and implement AI-powered automation workflows using prompt engineering, LLM APIs, and agentic patterns to streamline platform operations, anomaly detection, and cost analysis.
Build observability and operational dashboards for platform health, cost allocation, and adoption metrics across the tool portfolio.
Standardize onboarding patterns for teams consuming platform services — secrets provisioning, connectivity.
Support cloud migration efforts by ensuring platform tools are properly configured, monitored, and optimized in AWS environments.

Qualifications:

5-7 years of experience in cloud infrastructure, platform engineering, or DevOps/SRE roles with production responsibilities; bachelor’s degree preferred.
3–5 years hands-on experience with secrets management platforms (HashiCorp Vault, AWS Secrets Manager, CyberArk) including policy authoring, dynamic secrets, and Kubernetes integration.
Strong experience with AWS services in production (EKS, IAM/IRSA, S3, Secrets Manager, CloudWatch, Lambda) and Infrastructure as Code (Terraform, CloudFormation, Helm).
Hands-on experience with at least 3 of the following: Confluent Kafka, Amazon MQ/ActiveMQ, Apigee API Gateway, Control-M scheduling, Dynatrace/APM.
Proficiency in Python scripting and API automation — building integrations, data pipelines, and operational tooling.
Demonstrated experience with AI/ML tools and prompt engineering — using LLM APIs (OpenAI-compatible, Claude, Bedrock) for automation, code generation, and operational intelligence.
Experience with Kubernetes (EKS), service mesh (Istio), and container-based deployment patterns.
Familiarity with CI/CD pipelines (Jenkins, Spinnaker, Gradle) and GitOps practices.

Preferred Qualifications:

Experience operating event-driven platform at scale – topic/queue provisioning, schema governance, consumer group monitoring, and capacity planning.
Proven ability to build API-driven automation against platform management for inventory, compliance, and self-service workflows.
Experience with agentic AI workflows, RAG (Retrieval-Augmented Generation), and tool-calling patterns.
AWS certifications (Solutions Architect, DevOps Engineer, or Security Specialty).

Keys to Success in this Role:

Automate everything: treat manual processes as technical debt and build self-service patterns that scale.
Stay hands-on: troubleshoot production issues, build prototypes, and iterate rapidly with working code.
Leverage AI as a force multiplier: use prompt engineering and LLM integration to accelerate documentation, analysis, and automation development.
Drive measurable outcomes with clear operational metrics (uptime, mean-time-to-provision, self-healing, cost optimization savings).
Partner effectively across security, application, and infrastructure teams to ensure smooth adoption of platform services and governance standards.

Current Freddie Mac employees please apply through the internal career site.

We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

A safe and secure environment is critical to Freddie Mac’s business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.

CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.

Time-type:Full time

FLSA Status:Exempt

Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.

This position has an annualized market-based salary range of $122,000 - $184,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.

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cloud engineer jobs in belle haven, va

Cloud Engineer Senior

Cloud Platform Engineer - AI Trainer

Cloud Engineer

Cloud Engineer, Journeyman

Cloud Infrastructure Engineer

Cloud Engineer

Cloud Solutions Engineer

Cloud Engineer

DevOps Engineer I

DevOps Cloud Engineer

Cloud Engineer I

Junior Cloud Engineer (Hybrid)

Cloud Engineer (AWS)

Cloud Platform Engineer

IT Specialist (Systems and Cloud Engineer)

Senior Marine Electronics Exterior Communication Engineer

Cloud Engineer with TS/SCI

Cloud DevSecOps Engineer

Platform DevSecOps Engineer (US citizen/Hybrid/Secret Clearance Required)

Senior Full Stack Engineer

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