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Hybrid Engineering Jobs in Virginia (NOW HIRING)

Leidos

Hybrid Multi-Cloud Engineer SME

Fort Belvoir, VA · On-site

$63 - $84.25/hr

This position is responsible for the architecture, engineering, implementation, and sustainment of secure hybrid cloud solutions across Microsoft Azure and Amazon Web Services (AWS) environments. The ...

Leidos

Hybrid Multi-Cloud Engineer SME

Fort Belvoir, VA · Hybrid

$63 - $84.25/hr

This position is responsible for the architecture, engineering, implementation, and sustainment of secure hybrid cloud solutions across Microsoft Azure and Amazon Web Services (AWS) environments. The ...

New

stanleyreid

CNO Developer - Hybrid - TS

Arlington, VA · Hybrid

$145K - $199K/yr

Our client has deep expertise in Vulnerability Research, CNO Development, Reverse Engineering, and ... They are located in Arlington, VA and offer a hybrid work schedule. If you have a TS or higher, it ...

IsI Enterprises LLC

Cloud Engineer (Hybrid)

Herndon, VA · On-site

$110K - $125K/yr

Cloud & Server Migration Engineering * Develop and support solutions for migrating customer data ... Hybrid work opportunities. * Mentorship and training opportunities to support professional ...

ISI Enterprises

Cloud Engineer (Hybrid)

Herndon, VA · On-site

Cloud & Server Migration Engineering * Develop and support solutions for migrating customer data ... Hybrid work opportunities. * Mentorship and training opportunities to support professional ...

stanleyreid

CNO Developer - Hybrid - TS/SCI

Arlington, VA · Hybrid

$145K - $199K/yr

Our client has deep expertise in Vulnerability Research, CNO Development, Reverse Engineering, and ... They are located in Arlington, VA and offer a hybrid work schedule. If you have a TS or higher, it ...

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All JobsHybrid Engineering JobsHybrid Engineering Jobs in Virginia

Hybrid Engineering information

See Virginia salary details

$46.1K

$145.6K

$172.5K

How much do hybrid engineering jobs pay per year?

As of Aug 1, 2026, the average yearly pay for hybrid engineering in Virginia is $145,608.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $171,500.00 per year, depending on experience, location, and employer.

What is a Hybrid Engineering job?

A Hybrid Engineering job combines expertise from multiple engineering disciplines, such as mechanical, electrical, and software engineering, to develop integrated systems and solutions. These roles are common in industries like automotive, aerospace, and renewable energy, where interdisciplinary knowledge is essential. Hybrid engineers work on projects that require both hardware and software integration, optimizing performance across different domains. Their work often involves designing, testing, and troubleshooting complex systems.

What are the typical daily responsibilities of someone working in Hybrid Engineering?

Hybrid Engineers are often involved in designing, testing, and optimizing components or systems that integrate both mechanical and electrical technologies, such as hybrid vehicle powertrains or renewable energy systems. On a daily basis, you may collaborate with design, software, and manufacturing teams, conduct system simulations, troubleshoot performance issues, and validate prototypes. The role typically requires analyzing data, documenting results, and ensuring projects meet regulatory and safety standards. This multidisciplinary approach keeps the work engaging and allows you to see your contributions at multiple stages of the product development cycle.

What are the key skills and qualifications needed to thrive in the Hybrid Engineering position, and why are they important?

To excel in Hybrid Engineering, you need a solid understanding of both mechanical and electrical engineering principles, often supported by a relevant engineering degree. Familiarity with industry-standard CAD software, simulation tools, and hybrid system diagnostics is essential, while certifications like Professional Engineer (PE) can be advantageous. Strong problem-solving ability, cross-disciplinary collaboration, and effective communication are critical soft skills in this dynamic field. These competencies enable professionals to innovate solutions and coordinate across teams in the rapidly evolving landscape of hybrid technologies.

What are popular job titles related to Hybrid Engineering jobs in Virginia? For Hybrid Engineering jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Hybrid Engineering jobs in Virginia look for? The top searched job categories for Hybrid Engineering jobs in Virginia are:
What cities in Virginia are hiring for Hybrid Engineering jobs? Cities in Virginia with the most Hybrid Engineering job openings:
Hybrid Engineering jobs near you
Infographic showing various Hybrid Engineering job openings in Virginia as of July 2026, with employment types broken down into 89% Full Time, 7% Part Time, 2% Temporary, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $145,608 per year, or $70 per hour.

Cloud Security Engineer/Architect (Hybrid)

A.C. Coy

Falls Church, VA • Hybrid

$70 - $92.75/hr

Contractor

Re-posted 14 days ago

Job description

  • Tier One Technologies has an immediate need for a Cloud Security Engineer/Architect for our US Government client.
  • This hybrid Contract-to-Hire position will be available to start in Falls Church, VA, Morrisville, NC or Eagan, MN
  • SELECTED CANDIDATES WITHOUT REQUIRED CLEARANCE WILL BE SUBJECT TO A FEDERAL GOVERNMENT BACKGROUND INVESTIGATION TO RECEIVE IT.

  • Security Architecture Vision: Lead the design of a global Zero Trust architecture, ensuring robust identity governance (IAM), network micro-segmentation, and data encryption across AWS, Azure, or GCP.
  • Security Posture & Compliance Automation: Design and implement automated compliance assessments to enforce hardening standards (CIS, NIST) across cloud accounts and on-premises virtualized environments.
  • AI/ML Security Governance (Adversarial Defense): Establish security guardrails for the enterprise’s internal and customer-facing AI models. This includes protecting Databricks training pipelines from data poisoning and implementing mitigations for LLM-specific threats like prompt injection and sensitive data leakage.
  • Automated Guardrails (Policy as Code): Develop and enforce enterprise-wide security policies using Terraform, etc., ensuring that non-compliant infrastructure is automatically remediated or blocked from deployment.
  • Cloud Posture Management: Design and oversee the integration of CNAPP and CSPM tools to provide real-time visibility into misconfigurations, vulnerabilities, and excessive permissions.
  • Threat Modeling & Resilience: Conduct deep-dive threat modeling for complex cloud-native systems, simulating advanced persistent threats (APTs) and "blast radius" scenarios to strengthen system resilience.
  • Asset & Data Security: Architect and maintain the security of our sprawling asset inventory. Implement data-at-rest and data-in-transit encryption strategies that span from physical data center servers to cloud-native storage.
  • Identity & Fraud Mitigation: Develop and secure the "Identity Fabric" linking 600k+ employees and millions of commercial customers. Collaborate with Fraud teams to integrate signals from SIEM and Databricks to detect and block malicious account activity.
  • Hybrid Engineering: Build and manage secure connectivity (Transit Gateways, Service Mesh) between on-premises hypervisors and multi-cloud environments, ensuring consistent policy enforcement.
  • Threat Detection & Response: Partner with the SOC to develop high-fidelity detection logic. Build SOAR playbooks that automate the isolation of compromised cloud workloads or on-premises VMs.
  • Efficacy Assessment: Support ongoing "Purple Team" exercises and control testing to validate that security tools (EDR, WAF, DLP) are performing as intended across all tenants.
  • Hyper-Automation of Security Operations: Drive the transition from manual "click-to-operate" security to Autonomous Security Operations. This involves building advanced SOAR playbooks that use ML-based triggers to perform auto-remediation across hybrid environments without human intervention.
  • Business Process Streamlining: Partner with business units to integrate security "invisibly" into their workflows. Use automation to reduce "security friction" in logistics and retail operations, ensuring that compliance checks (like PCI or SOC2) are performed continuously and programmatically.
  • AI Asset Management: Discover and catalog "Shadow AI" usage across the enterprise, ensuring all third-party AI tools meet the enterprise’s privacy and security standards.

  • Bachelor’s or Master’s degree in Computer Science, Information Security or related field. If the individual's degree is not in the applicable field then four additional years of related experience is required.
  • 12+ years of experience in Cybersecurity.
  • 6+ years of experience focused on architecting secure cloud environments at scale.
  • Deep understanding of Artificial Intelligence (AI) and machine learning (ML) to develop, implement, and manage secure AI-driven solutions.
  • Cloud Fluency: Expert-level knowledge of security architectures in AWS, Azure, and Google Cloud.
  • Infrastructure as Code (IaC): Mastery of Terraform, Ansible, or CloudFormation to deploy and manage security configurations at massive scale.
  • Big Data Analytics for Security: Ability to leverage Databricks to perform deep-dive analysis on billions of logs for threat hunting and efficacy reporting.
  • Container & Orchestration Security: Experience securing Kubernetes (EKS/AKS/GKE) and Docker environments, focusing on runtime protection and image integrity.
  • Identity Mastery: Proficiency with OAuth 2.0, SAML, and CIAM solutions for large-scale customer and employee authentication.
  • Security Data Science: Proficiency in using Python (PySpark/Pandas) within Databricks to build custom anomaly detection models that go beyond standard SIEM correlation rules.
  • Generative AI Security: Knowledge of the OWASP Top 10 for LLMs and experience implementing AI gateways or "firewalls" to monitor and filter AI-generated traffic.
  • API-First Automation: Deep expertise in building "glue code" that connects disparate COTS and custom applications via secure, automated APIs to streamline cross-functional business activities.
  • Algorithmic Literacy: The ability to explain to non-technical stakeholders how AI-driven security decisions (like blocking a suspicious $1M commercial transaction) are made and how to handle "false positives" at scale.
  • Efficiency Mindset: A relentless focus on identifying repetitive manual tasks (e.g., firewall rule reviews, access audits) and replacing them with self-healing, automated systems.
  • Excellent communication skills.
  • Must be a US Citizen or Permanent US Resident (Green Card Holder).
  • Must be able to obtain Public Trust Clearance.
  • Be able to pass a drug screening, criminal history, and credit checks.
  • Must have lived in the United States for the past 5 years.
  • Cannot have more than 6 months travel outside the United States within the last five years. Military Service excluded. (Exception does not include military family members.)
A.C. Coy Company- Staffing & Consulting Services logo

About A.C. Coy Company- Staffing & Consulting Services

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Since 1986, our mission is to be the “Always on Target” staffing and consulting provider by helping people and companies achieve their hiring goals. The team is dedicated to achieving these goals by attracting and retaining top talent that meets our clients’ culture and environment. We are fully engaged with our people and companies through ongoing communication to ensure expectations are met.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Canonsburg, PA, US

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