Software Engineering Manager Visa Sponsorship Jobs in Washington DC
Washington DC's software engineering manager market is anchored by federal contractors, defense tech firms, and government agencies, with major employers including Booz Allen Hamilton, Leidos, General Dynamics IT, and Amazon Web Services. The region's concentration of security-cleared technical work and policy-adjacent technology roles creates consistent demand for experienced engineering leaders who need visa sponsorship.
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Get Access To All JobsMake your mark at Comcast - a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You’ll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.)
Job Summary
About the Role
We are looking for a hands-on Software Engineering Manager to lead a backend engineering team building production grade AI Agent systems. This role sits one level above Senior Software Engineer (E4) and combines people management, execution ownership, and direct technical contribution. You are expected to remain deeply technical, spending at least ~30% of your time coding in the same production systems as your team. You will design, build, review, and operate backend services while also being accountable for team health, delivery, and growth. This is not a “manager only” role. Success comes from leading through context, example, and hands-on involvement, while scaling your impact through strong people leadership. You will partner with product, design, and leadership to turn ambiguous AI opportunities into dependable, customer facing systems—while building a high performing team that can sustain this work overtime.
Job Description
What You Will Do:
People Management & Team Health
- Directly manage a team of backend engineers, owning 1:1s, feedback, performance management, and career development.
- Coach engineers on technical growth, system design thinking, and operational ownership.
- Build a culture of trust, accountability, and continuous improvement—especially important in AI-heavy, probabilistic systems.
- Hire and onboard engineers who strengthen both technical capability and team dynamics.
Hands-On Technical Contribution (Minimum ~30%)
- Actively write and ship production code across core backend services and agent workflows.
- Take ownership of well-scoped technical areas or services, especially those critical to correctness, reliability, or cross-team interfaces.
- Model high standards in code quality, testing, observability, and operational readiness.
- Stay close enough to the codebase to make informed architectural, staffing, and execution decisions.
Technical Leadership Through Example
- Guide architectural decisions by contributing designs and implementations—not just reviewing others’ work.
- Ensure AI agent behavior is engineered responsibly: tool invocation, state management, memory strategies, reasoning control, failure handling, and evaluation.
- Treat prompts and agent policies as production code: versioned, tested, reviewed, and monitored for cost, latency, and reliability.
- Set and enforce engineering standards that keep AI-heavy systems understandable and supportable over time.
Execution Ownership & Delivery
- Own planning, prioritization, and execution for the team.
- Translate product goals into achievable technical plans while managing tradeoffs across scope, quality, and risk.
- Identify delivery and technical risks early and address them proactively.
- Ensure the team consistently delivers production-ready systems, not just proofs of concept.
Testing & Quality of Probabilistic Systems
- Lead the team in designing testing and evaluation strategies for non-deterministic AI components.
- Establish guardrails and regression testing that reduce unsafe or unstable behavior in production.
- Balance innovation with correctness, observability, and long-term maintainability.
Operational Excellence & Reliability
- Share ownership of production health: uptime, latency, incidents, and post-incident learning.
- Help build a strong on-call culture where engineers run what they build.
- Step in directly during complex incidents when needed—both technically and as a leader.
Cross-Functional Leadership
- Partner closely with product, design, and adjacent teams to align on goals and dependencies.
- Communicate clearly with leadership on progress, risks, and outcomes.
- Represent the team in technical and organizational forums.
What We’re Looking For:
Engineering Management Experience
- Prior experience as a technical lead or manager, with a demonstrated track record of mentoring and project delivery.
- A genuine interest in growing people—not just systems.
Strong Backend Engineering Depth
- Extensive experience designing, building, and operating backend systems in Python.
- Comfort working with asynchronous frameworks (e.g., FastAPI, asyncio) and distributed architectures.
- Ability and desire to remain hands-on with real production code.
AI Systems Judgment
- Hands-on experience integrating LLMs into real systems.
- Strong intuition for AI failure modes, operational risks, and safe system design.
- Thinks in workflows, control flow, and safeguards—not just prompt quality.
Execution & Ownership Mindset
- Proven ability to deliver complex systems with multiple stakeholders.
- Comfortable owning outcomes, not just tasks.
Operational Responsibility
- Experience owning customer-facing systems in production, including incidents and on-call.
- Designs systems that are “easy to wake up to” when something goes wrong.
Culture & Pragmatism
- Leads with empathy, clarity, and consistency.
- Excited about advanced AI capabilities, but prioritizes stability, debuggability, and long-term maintainability over novelty.
Disclaimer:
This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.
Comcast is an EOE/Veterans/Disabled/LGBT employer.
Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.
Skills:
- Software Engineering
- Curious Mindset
- Critical Thinking
- Adaptability
- People Leadership
Salary:
Primary Location Pay Range: $183,063.62 - $274,595.42
Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.
Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.
Education
Master's Degree
While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.
Relevant Work Experience
5-7 Years
Make your mark at Comcast - a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You’ll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.)
Job Summary
About the Role
We are looking for a hands-on Software Engineering Manager to lead a backend engineering team building production grade AI Agent systems. This role sits one level above Senior Software Engineer (E4) and combines people management, execution ownership, and direct technical contribution. You are expected to remain deeply technical, spending at least ~30% of your time coding in the same production systems as your team. You will design, build, review, and operate backend services while also being accountable for team health, delivery, and growth. This is not a “manager only” role. Success comes from leading through context, example, and hands-on involvement, while scaling your impact through strong people leadership. You will partner with product, design, and leadership to turn ambiguous AI opportunities into dependable, customer facing systems—while building a high performing team that can sustain this work overtime.
Job Description
What You Will Do:
People Management & Team Health
- Directly manage a team of backend engineers, owning 1:1s, feedback, performance management, and career development.
- Coach engineers on technical growth, system design thinking, and operational ownership.
- Build a culture of trust, accountability, and continuous improvement—especially important in AI-heavy, probabilistic systems.
- Hire and onboard engineers who strengthen both technical capability and team dynamics.
Hands-On Technical Contribution (Minimum ~30%)
- Actively write and ship production code across core backend services and agent workflows.
- Take ownership of well-scoped technical areas or services, especially those critical to correctness, reliability, or cross-team interfaces.
- Model high standards in code quality, testing, observability, and operational readiness.
- Stay close enough to the codebase to make informed architectural, staffing, and execution decisions.
Technical Leadership Through Example
- Guide architectural decisions by contributing designs and implementations—not just reviewing others’ work.
- Ensure AI agent behavior is engineered responsibly: tool invocation, state management, memory strategies, reasoning control, failure handling, and evaluation.
- Treat prompts and agent policies as production code: versioned, tested, reviewed, and monitored for cost, latency, and reliability.
- Set and enforce engineering standards that keep AI-heavy systems understandable and supportable over time.
Execution Ownership & Delivery
- Own planning, prioritization, and execution for the team.
- Translate product goals into achievable technical plans while managing tradeoffs across scope, quality, and risk.
- Identify delivery and technical risks early and address them proactively.
- Ensure the team consistently delivers production-ready systems, not just proofs of concept.
Testing & Quality of Probabilistic Systems
- Lead the team in designing testing and evaluation strategies for non-deterministic AI components.
- Establish guardrails and regression testing that reduce unsafe or unstable behavior in production.
- Balance innovation with correctness, observability, and long-term maintainability.
Operational Excellence & Reliability
- Share ownership of production health: uptime, latency, incidents, and post-incident learning.
- Help build a strong on-call culture where engineers run what they build.
- Step in directly during complex incidents when needed—both technically and as a leader.
Cross-Functional Leadership
- Partner closely with product, design, and adjacent teams to align on goals and dependencies.
- Communicate clearly with leadership on progress, risks, and outcomes.
- Represent the team in technical and organizational forums.
What We’re Looking For:
Engineering Management Experience
- Prior experience as a technical lead or manager, with a demonstrated track record of mentoring and project delivery.
- A genuine interest in growing people—not just systems.
Strong Backend Engineering Depth
- Extensive experience designing, building, and operating backend systems in Python.
- Comfort working with asynchronous frameworks (e.g., FastAPI, asyncio) and distributed architectures.
- Ability and desire to remain hands-on with real production code.
AI Systems Judgment
- Hands-on experience integrating LLMs into real systems.
- Strong intuition for AI failure modes, operational risks, and safe system design.
- Thinks in workflows, control flow, and safeguards—not just prompt quality.
Execution & Ownership Mindset
- Proven ability to deliver complex systems with multiple stakeholders.
- Comfortable owning outcomes, not just tasks.
Operational Responsibility
- Experience owning customer-facing systems in production, including incidents and on-call.
- Designs systems that are “easy to wake up to” when something goes wrong.
Culture & Pragmatism
- Leads with empathy, clarity, and consistency.
- Excited about advanced AI capabilities, but prioritizes stability, debuggability, and long-term maintainability over novelty.
Disclaimer:
This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.
Comcast is an EOE/Veterans/Disabled/LGBT employer.
Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.
Skills:
- Software Engineering
- Curious Mindset
- Critical Thinking
- Adaptability
- People Leadership
Salary:
Primary Location Pay Range: $183,063.62 - $274,595.42
Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.
Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.
Education
Master's Degree
While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.
Relevant Work Experience
5-7 Years
Software Engineering Manager Job Roles in Washington DC
See all Software Engineering Manager Jobs in Washington DC
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Search Software Engineering Manager Jobs in Washington DCSoftware Engineering Manager Jobs in Washington DC: Frequently Asked Questions
Which companies sponsor visas for software engineering managers in Washington DC?
Federal contractors and technology firms are the most active visa sponsors for software engineering managers in the DC area. Companies like Booz Allen Hamilton, Leidos, SAIC, General Dynamics IT, and Accenture Federal Services regularly file H-1B visa petitions for senior engineering leadership roles. Commercial tech employers with DC offices, including Amazon Web Services and Microsoft, also sponsor at the manager level.
Which visa types are most common for software engineering manager roles in Washington DC?
The H-1B visa is the most common sponsorship path for software engineering managers in Washington DC, as the role consistently qualifies as a specialty occupation requiring a bachelor's degree or higher in a relevant technical field. Candidates already holding L-1A visas through multinational transfers may also qualify, and those with extraordinary ability may pursue the O-1A. EB-2 and EB-3 employment-based green card sponsorship is also common at the manager level.
How to find software engineering manager visa sponsorship jobs in Washington DC?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can browse software engineering manager roles in Washington DC without sorting through positions that don't sponsor. The platform aggregates openings from federal contractors, commercial tech employers, and consulting firms active in the DC metro area, making it easier to identify employers who have a documented history of sponsoring engineering leadership candidates.
Which cities in Washington DC have the most software engineering manager sponsorship jobs?
DC itself is the primary hub, but the broader metro area includes major employment centers just across state lines. Tysons Corner and Reston in Northern Virginia host dense clusters of federal contractors and defense tech firms, while Bethesda and Rockville in Maryland attract biotech-adjacent engineering teams. Most visa-sponsored software engineering manager roles are concentrated along the I-495 corridor rather than in the District proper.
Are there any DC-specific considerations for software engineering managers seeking visa sponsorship?
A significant share of software engineering manager roles in the DC area involve work on federal contracts, which can require security clearances. Clearance eligibility is generally limited to U.S. citizens and lawful permanent residents, which means many sponsorship opportunities are at commercial or unclassified-program employers rather than agencies requiring active clearances. Engineering managers should prioritize roles explicitly listed as open to visa sponsorship, as clearance requirements can limit options for international candidates.
What is the prevailing wage for sponsored software engineering manager jobs in Washington DC?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.