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Engineer Manager information

See Silver Spring, MD salary details

$47.9K

$151.4K

$179.3K

How much do engineer manager jobs pay per year?

As of Jun 18, 2026, the average yearly pay for engineer manager in Silver Spring, MD is $151,364.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,100.00 and $178,300.00 per year, depending on experience, location, and employer.

What is an Engineering Manager?

An Engineering Manager is a professional who oversees engineering teams, guiding them to achieve project goals and company objectives. They are responsible for managing people, processes, and resources, ensuring that engineering projects are completed on time and within budget. Engineering Managers also collaborate with other departments, mentor team members, and help develop technical strategies. Their role bridges the gap between technical engineering tasks and organizational leadership.

How does an Engineer Manager typically support professional development within their team?

Engineer Managers play a key role in fostering the growth of their team members by providing regular feedback, identifying learning opportunities, and encouraging participation in training or mentorship programs. They often help engineers set clear career goals, guide them through skill development, and advocate for their advancement within the organization. By promoting a culture of continuous improvement and collaboration, Engineer Managers help team members stay motivated and aligned with both personal and company objectives.

What are the key skills and qualifications needed to thrive as an Engineering Manager, and why are they important?

To excel as an Engineering Manager, you need a strong technical background in engineering principles, project management experience, and often a relevant degree such as in engineering or computer science. Familiarity with project management tools (like Jira or Asana), version control systems (such as Git), and possibly certifications like PMP or Agile Scrum Master are typically required. Exceptional leadership, communication, and conflict-resolution skills help you motivate teams and manage stakeholders effectively. These competencies are crucial for delivering successful projects, fostering a productive team environment, and driving organizational goals.

What is the difference between Engineer Manager vs Software Engineer?

AspectEngineer ManagerSoftware Engineer
CredentialsBachelor's or higher in engineering or related field, often with leadership experienceBachelor's or higher in computer science, software engineering, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops software, writes code, tests applications
Employer & Industry UsageTech companies, engineering firms, startupsTech companies, software firms, IT departments

Engineer Managers oversee engineering teams, manage projects, and coordinate resources, while Software Engineers focus on designing, coding, and testing software. Both roles require technical skills, but Engineer Managers also handle leadership and strategic planning.

What are the most commonly searched types of Engineer jobs in Silver Spring, MD? The most popular types of Engineer jobs in Silver Spring, MD are:
What are popular job titles related to Engineer Manager jobs in Silver Spring, MD? For Engineer Manager jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Engineer Manager jobs in Silver Spring, MD look for? The top searched job categories for Engineer Manager jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Engineer Manager jobs? Cities near Silver Spring, MD with the most Engineer Manager job openings:
Engineer Manager jobs near you
Infographic showing various Engineer Manager job openings in Silver Spring, MD as of June 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $151,364 per year, or $72.8 per hour.
Cyber Forward Deployed Engineer - Manager

Cyber Forward Deployed Engineer - Manager

Deloitte

Baltimore, MD • On-site

Other

Posted 28 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 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

  • 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 $148,200 - $292,300.

#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

  • 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 $148,200 - $292,300.

#CyberCtBEngg

Education:Bachelor's DegreeEmployment Type:

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