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Deloitte Devops Jobs in Virginia (NOW HIRING)

Guidewire PolicyCenter Sr Developer

Rosslyn, VA · On-site

$62 - $82/hr

You'll work alongside talented professionals reimagining and re-engineering operations and ... Deloitte's Financial Services Industry consulting practice is the largest in the world, serving ...

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help ... You'll work alongside talented professionals reimagining and reengineering operations and processes ...

... Developer Certification For individuals assigned and/or hired to work in Virginia, Deloitte is ... You'll work alongside talented professionals reimagining and reengineering operations and processes ...

Cloud Integrated Infrastructure Engineer

Richmond, VA · On-site

$106K - $139K/yr

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help ... You'll work alongside talented professionals reimagining and reengineering operations and processes ...

IFS Cloud Solution Architect

Mclean, VA · On-site

$64.25 - $88/hr

... operations. We deliver integrated business expertise with scalable, repeatable technology solutions specifically engineered for each sector. Deloitte's Power, Utilities & Renewables practice is at ...

Showing results 41-60

Deloitte Devops information

See Virginia salary details

$16

$60

$85

How much do deloitte devops jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for deloitte devops in Virginia is $60.01, according to ZipRecruiter salary data. Most workers in this role earn between $50.29 and $68.89 per hour, depending on experience, location, and employer.

What is the difference between Deloitte Devops vs Deloitte Cloud Engineer?

AspectDeloitte DevopsDeloitte Cloud Engineer
Required CertificationsCertifications like AWS, Azure, or Google Cloud, along with DevOps toolsCloud platform certifications (AWS, Azure, GCP), plus scripting and automation skills
Work EnvironmentCollaborative teams focusing on CI/CD pipelines, automation, and deploymentDesigning, implementing, and managing cloud infrastructure and services
Industry UsageUsed across tech, finance, and consulting sectors for automation and deploymentPrimarily in cloud service providers, tech firms, and consulting projects

Both roles require cloud platform knowledge and certifications, but Deloitte Devops focuses more on automation, CI/CD, and deployment pipelines, while Deloitte Cloud Engineer emphasizes cloud infrastructure design and management. They often collaborate but serve different technical functions within organizations.

What does a Deloitte DevOps professional do?

A Deloitte DevOps professional is responsible for bridging the gap between software development and IT operations within Deloitte's client projects. They automate processes, manage continuous integration and delivery pipelines, and ensure applications are deployed reliably and efficiently. Their work often involves using tools like Jenkins, Docker, Kubernetes, and cloud platforms to streamline workflows, increase collaboration, and improve the scalability and security of software solutions. Additionally, they collaborate with both developers and operations teams to troubleshoot issues and optimize performance.

How does a Deloitte DevOps professional typically collaborate with development and operations teams to streamline project delivery?

At Deloitte, DevOps professionals act as a vital bridge between development and IT operations teams. They facilitate communication by implementing automation tools, managing CI/CD pipelines, and ensuring seamless code deployments. Collaboration involves participating in agile ceremonies, conducting regular check-ins with cross-functional teams, and proactively identifying bottlenecks. This role requires strong interpersonal skills and a proactive approach to problem-solving, as DevOps specialists often lead the integration of new technologies and process improvements that accelerate project delivery.

What are the key skills and qualifications needed to thrive as a Deloitte DevOps professional, and why are they important?

To thrive as a Deloitte DevOps Engineer, you need expertise in software development, cloud infrastructure, automation, and continuous integration/continuous deployment (CI/CD), typically supported by a relevant degree and experience in DevOps environments. Proficiency with tools like Jenkins, Docker, Kubernetes, Azure/AWS/GCP, and relevant certifications such as AWS Certified DevOps Engineer or Microsoft Azure DevOps Solutions are commonly expected. Strong problem-solving abilities, collaboration, and effective communication are essential soft skills that help bridge development and operations teams. These skills and qualifications are crucial for delivering reliable, scalable, and efficient solutions that drive digital transformation for clients.
Infographic showing various Deloitte Devops job openings in Virginia as of August 2026, with employment types broken down into 85% Full Time, 3% Part Time, and 12% Contract. Highlights an 75% Physical, 9% Hybrid, and 16% Remote job distribution, with an average salary of $124,828 per year, or $60 per hour.

Cyber Forward Deployed Engineer - Manager

Deloitte

Richmond, VA • On-site

Full-time

Re-posted 20 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services


Job description

Deloitte Cyber understands the unique challenges and opportunities businesses face in cybersecurity. Deloitte's Cyber team helps our clients navigate the ever-changing threat landscape. We simplify complexity, and enable businesses to operate with resilience, grow with confidence, and proactively manage their security posture.

Recruiting for this role ends on 12/31/2026.

Work you will do:

As a Cyber Forward Deployed Engineer (FDE) Manager, you will lead delivery of cybersecurity and AI-enabled solutions at the intersection of client engagement and hands-on engineering. You will lead teams on delivering high-quality solutions while playing a key role in deal shaping, scaling delivery practices, and enabling long-term client and team capability.

Solution Delivery & Engineering (Primary Focus)

  • Translate business and cybersecurity needs into high-quality technical solutions (including AI/GenAI-enabled capabilities where applicable), and deploy them for clients in alignment with their requirements and architecture
  • Identify, troubleshoot, and resolve technical issues within scope

Pre-Sales & Deal Shaping

  • Partner with stakeholders to help shape technical solutions during pursuits, including leading demos/POCs/prototypes
  • Contribute to solution design, ensuring alignment between client needs and delivery feasibility.
  • Partner with leadership to influence technical win strategy, including pricing inputs, and effort estimation, ensuring alignment between client needs, feasibility, and commercial viability.

Customer Delivery Leadership

  • Own overall customer satisfaction, proactively managing expectations, delivery quality, and outcomes to ensure a strong client experience.
  • Build and maintain trusted client relationships, addressing escalations effectively and driving continuous improvement based on client feedback.
  • Ensure delivery aligns with agreed scope, timelines, and cost estimates, proactively managing deviations to protect margins and client outcomes.
  • Drive delivery efficiency and unit economics by optimizing team structure, utilization, and effort allocation across engagements

Product Feedback & Continuous Improvement

  • Capture and translate delivery learnings into actionable product or platform improvements, distinguishing reusable enhancements from client-specific needs.
  • Enable client teams through structured knowledge transfer, clear documentation, and practical runbooks.

The Team

Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today.

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
  • Limited immigration sponsorship may be available.
  • Ability to travel up to 20% on average, based on the work you do and the clients and industries/sectors you serve.

We require 8+ years of experience for all areas below:

  • Hands-on experience in full stack development across frontend and backend technologies.
  • Experience in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js).
  • Backend experience in Node.js, Python (Django/Flask), or Java (Spring Boot).
  • Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis).
  • Experience building and integrating REST APIs, microservices, and serverless architectures.
  • Experience conducting code reviews and guiding teams on best practices.
  • Experience delivering and scaling applications on AWS, Azure, or GCP.
  • Experience with Docker, CI/CD pipelines, and development lifecycle tools (e.g., Git, Azure DevOps).

We require 1+ years of experience for all areas below:

  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with one of the following Frontier Gen AI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents 
  • Experience guiding teams on AI architecture, platform selection and integration into production systems.
  • Experience with scalability, governance, and performance considerations for AI-enabled solutions.

Client-Facing & Delivery Ownership

  •  8+ Years experience leading technical solutioning in pursuits, including demos, POCs, and proposal inputs.
  • 8+ Years experience defining scope, estimating effort, and aligning solutions with delivery feasibility and business goals.
  • 8+ Years experience working with senior client stakeholders to translate requirements into scalable technical solutions.
  •  8+ Years experience articulating technical concepts, risks, and trade-offs.
  • 8+ Years experience demonstrating accountability and ownership mindset in achieving client outcomes.

Preferred Qualifications

  • Anthropic experience and/or certification STRONGLY preferred
  • Familiarity with cybersecurity concepts (e.g., application security, cloud security, identity, detection engineering).
  • Experience with DevSecOps practices and secure software development lifecycle.
  • Exposure to search/analytics platforms (Elasticsearch/OpenSearch) or graph databases (Neo4j).
  • Knowledge of Kubernetes, GitOps, or advanced cloud-native patterns.
  • Cloud certifications (AWS, Azure, GCP).
  • Basic familiarity with ML frameworks (TensorFlow, PyTorch).

Compensation
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 - $306,800.

#CyberCtBEngg

Qualifications:

Deloitte Cyber understands the unique challenges and opportunities businesses face in cybersecurity. Deloitte's Cyber team helps our clients navigate the ever-changing threat landscape. We simplify complexity, and enable businesses to operate with resilience, grow with confidence, and proactively manage their security posture.

Recruiting for this role ends on 12/31/2026.

Work you will do:

As a Cyber Forward Deployed Engineer (FDE) Manager, you will lead delivery of cybersecurity and AI-enabled solutions at the intersection of client engagement and hands-on engineering. You will lead teams on delivering high-quality solutions while playing a key role in deal shaping, scaling delivery practices, and enabling long-term client and team capability.

Solution Delivery & Engineering (Primary Focus)

  • Translate business and cybersecurity needs into high-quality technical solutions (including AI/GenAI-enabled capabilities where applicable), and deploy them for clients in alignment with their requirements and architecture
  • Identify, troubleshoot, and resolve technical issues within scope

Pre-Sales & Deal Shaping

  • Partner with stakeholders to help shape technical solutions during pursuits, including leading demos/POCs/prototypes
  • Contribute to solution design, ensuring alignment between client needs and delivery feasibility.
  • Partner with leadership to influence technical win strategy, including pricing inputs, and effort estimation, ensuring alignment between client needs, feasibility, and commercial viability.

Customer Delivery Leadership

  • Own overall customer satisfaction, proactively managing expectations, delivery quality, and outcomes to ensure a strong client experience.
  • Build and maintain trusted client relationships, addressing escalations effectively and driving continuous improvement based on client feedback.
  • Ensure delivery aligns with agreed scope, timelines, and cost estimates, proactively managing deviations to protect margins and client outcomes.
  • Drive delivery efficiency and unit economics by optimizing team structure, utilization, and effort allocation across engagements

Product Feedback & Continuous Improvement

  • Capture and translate delivery learnings into actionable product or platform improvements, distinguishing reusable enhancements from client-specific needs.
  • Enable client teams through structured knowledge transfer, clear documentation, and practical runbooks.

The Team

Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today.

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
  • Limited immigration sponsorship may be available.
  • Ability to travel up to 20% on average, based on the work you do and the clients and industries/sectors you serve.

We require 8+ years of experience for all areas below:

  • Hands-on experience in full stack development across frontend and backend technologies.
  • Experience in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js).
  • Backend experience in Node.js, Python (Django/Flask), or Java (Spring Boot).
  • Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis).
  • Experience building and integrating REST APIs, microservices, and serverless architectures.
  • Experience conducting code reviews and guiding teams on best practices.
  • Experience delivering and scaling applications on AWS, Azure, or GCP.
  • Experience with Docker, CI/CD pipelines, and development lifecycle tools (e.g., Git, Azure DevOps).

We require 1+ years of experience for all areas below:

  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with one of the following Frontier Gen AI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents 
  • Experience guiding teams on AI architecture, platform selection and integration into production systems.
  • Experience with scalability, governance, and performance considerations for AI-enabled solutions.

Client-Facing & Delivery Ownership

  •  8+ Years experience leading technical solutioning in pursuits, including demos, POCs, and proposal inputs.
  • 8+ Years experience defining scope, estimating effort, and aligning solutions with delivery feasibility and business goals.
  • 8+ Years experience working with senior client stakeholders to translate requirements into scalable technical solutions.
  •  8+ Years experience articulating technical concepts, risks, and trade-offs.
  • 8+ Years experience demonstrating accountability and ownership mindset in achieving client outcomes.

Preferred Qualifications

  • Anthropic experience and/or certification STRONGLY preferred
  • Familiarity with cybersecurity concepts (e.g., application security, cloud security, identity, detection engineering).
  • Experience with DevSecOps practices and secure software development lifecycle.
  • Exposure to search/analytics platforms (Elasticsearch/OpenSearch) or graph databases (Neo4j).
  • Knowledge of Kubernetes, GitOps, or advanced cloud-native patterns.
  • Cloud certifications (AWS, Azure, GCP).
  • Basic familiarity with ML frameworks (TensorFlow, PyTorch).

Compensation
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 - $306,800.

#CyberCtBEngg

Education:Bachelor's DegreeEmployment Type:

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