How much do Software jobs in Washington, DC pay?

Based on 2033 listings with disclosed salaries, most software jobs in Washington, DC pay between $96k–$230k per year. Individual offers vary with seniority, company size, and specialization.

How many Software jobs are open in Washington, DC right now?

There are currently 2,619 open software positions in Washington, DC listed on Clera. New openings are added daily as companies post roles.

Which companies are hiring for Software roles in Washington, DC?

Companies currently hiring include Accenture Federal Services, Koniag Government Services, Booz Allen Hamilton, mouhamedzz, Shield AI, among others. Browse the listings above to see every active employer.

Are there remote or hybrid Software jobs in Washington, DC?

Yes — 1527 of the 2619 open software positions offer remote or hybrid work (631 remote, 896 hybrid).

How do I apply for Software jobs in Washington, DC?

Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.

Software Jobs in Washington, DC (Now Hiring) — 2,619 open — Page 36

VIATEQ Corporation

AI Security Engineer (Mid)

Washington, District of Columbia, United States · Hybrid

$110k–$140k/yr

Mid level

VIATEQ Corporation is looking for an AI Security Engineer (Mid) to support a comprehensive enterprise cybersecurity services program for a federal government client. This position requires the ability to obtain and maint…

Skills: AI security engineering, Machine learning, Cybersecurity, Python, PowerShell

Censys

Federal Account Executive, Named Accounts (DOW)

Washington, District of Columbia, United States · Remote OK

$300k–$360k/yr

Senior$198M raised

Company Background Censys’ mission is to be the one place to understand everything on the internet. Frustrated by the lack of trustworthy Internet intelligence, we set out to create the industry’s most comprehensive, acc…

Skills: Federal Sales, Department of Defense Sales, Cybersecurity, Threat Intelligence, Salesforce

VIA

Senior Data Analytics Engineer

Washington, District of Columbia, United States · Hybrid

$140k–$160k/yr

Senior$47M raised

VIA is making an impact, and so can you. Headquartered in Boston, Massachusetts, VIA is a mission-critical software company that enables organizations to share and analyze sensitive data at speed without compromising sec…

Skills: Python, R, SQL, PostgreSQL, NumPy

Axon

Senior Engineer – Robotics Middleware & Applications

Washington, District of Columbia, United States · Hybrid

$141k–$226k/yr

Senior$2.0B raised

Join Axon and be a Force for Good. At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our produ…

Skills: C++, Rust, Python, Embedded Linux, Robotics middleware

VIATEQ Corporation

Junior Endpoint Protection Analyst

Washington, District of Columbia, United States · Hybrid

$90k–$120k/yr

Entry level

VIATEQ Corporation is looking for a Junior Endpoint Protection Analyst to support enterprise cybersecurity operations and IT administrative support services for a federal government client. This position requires the abi…

Skills: Endpoint security, Cybersecurity operations, EDR, Antivirus, Anti-malware

PBA Group

AI Product Manager, Public Sector

San Francisco, California, United States · On-site

$147k–$185k/yr

Senior

AI Product Manager, Public Sector Compensation: $147,000 – $185,000 base salary, plus equity, company benefits, and incentive compensation. Location: Washington, DC or San Francisco, CA. These are the only two locations …

Skills: Generative AI, LLM systems, Product management, AI strategy, Red-teaming

PBA Group

Senior Forward Deployed Strategist, Public Sector

San Francisco, California, United States · On-site

$147k–$185k/yr

Senior

Senior Forward Deployed Strategist, Public Sector Compensation: $147,000 – $185,000 base salary, plus equity, company benefits, and incentive compensation. Location: Washington, DC or San Francisco, CA. These are the onl…

Skills: Generative AI, LLM systems, AI assurance, Red-teaming, Governance

Keysight Technologies

Territory Software Account Executive (Mid-Atlantic)

City Of Albany, Western Australia, Australia · Remote OK

Senior$1.4B raised

Overview Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16,800 employees cr…

Skills: Salesforce, Meddicc, Value-based selling, Account planning, Pipeline management

PBA Group

Senior Forward Deployed Engineer, Public Sector

San Francisco, California, United States · On-site

$167k–$203k/yr

Senior

Senior Forward Deployed Engineer, Public Sector Compensation: $167,000 – $203,000 base salary, plus equity, company benefits, and incentive compensation. Location: Washington, DC or San Francisco, CA. These are the only …

Skills: Python, TypeScript, Java, Go, Bash

Accenture Federal Services

Forward Deployed Data Engineer - Databricks

Washington, District of Columbia, United States · Hybrid

$100k–$243k/yr

Senior

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the li…

Skills: Databricks, Apache Spark, LLM Integration, Cloud Platforms, CI/CD

Banyan Software

Senior Account Executive - Fully Remote

Washington, District of Columbia, United States · Remote Solely

Senior$20K raised

Banyan Software is the best permanent home for software businesses that serve specialized industries, their employees, and their customers. With a buy-grow-and-hold-for-life approach and a permanent capital base, Banyan …

Skills: B2B software sales, Full-cycle sales, Outbound prospecting, Cold outreach, Consultative selling

Ellucian

Assistant General Counsel, Product & AI Innovation | Hybrid | Reston, VA

Washington, District of Columbia, United States · Hybrid

Senior+$1.6B raised

About Ellucian Ellucian powers innovation for higher education, partnering with approximately 3,000 customers across 50 countries, serving more than 21 million students. Ellucian's AI-powered platform, trained on the ric…

Skills: Legal counseling, Product development, Artificial intelligence, SaaS, Data privacy

AutogenAI

Proposal Manager, Training Consultant

Washington, District of Columbia, United States · Hybrid

$100k–$120k/yr

Senior$62M raised

Join AutogenAI – Revolutionizing Proposal Writing with generative AI AutogenAI is a leader in generative AI SaaS, transforming how organizations draft and optimize winning proposals through cutting-edge natural language …

Skills: Proposal Management, Customer Onboarding, Project Management, Training Delivery, Stakeholder Management

Accenture Federal Services

Penetration Tester

Washington, District of Columbia, United States · Hybrid

$126k–$243k/yr

Mid level

Skills: Penetration Testing, Network Security, Cloud Security, Web Application Testing, Burp Suite

Accenture Federal Services

Software Developer/Engineer

Washington, District of Columbia, United States · On-site

$79k–$160k/yr

Mid level

Skills: Software Development, Software Integration, Infrastructure-as-Code, Configuration-as-Code, Unit Testing

Keyfactor

Principal Partner Enablement Manager

Washington, District of Columbia, United States · Remote OK

Senior$1.2B raised

About Keyfactor Our mission is to securely connect the world: humans, machines, and AI. Keyfactor is the leader in trust infrastructure for AI and machines, helping the world's largest enterprises and government agencies…

Skills: Partner enablement, Technical training, Project management, Public-key infrastructure, Cryptography

Datadog

Strategic Account Executive

Washington, District of Columbia, United States · Hybrid

$124k–$165k/yr

Senior$1.0B raised

Our Strategic Account Executives target and close new business with Datadog’s largest, most strategic customers and prospects. In this role you’ll be focused on uncovering the pain points organizations face as they opera…

Skills: Sales, Prospecting, Account management, Negotiation, Value-based selling

Datadog

Senior Capture Manager

Washington, District of Columbia, United States · Hybrid

$163k–$204k/yr

Senior+$1.0B raised

Senior Capture Manager, Federal Systems Integrators - Public Sector As the Senior Capture Manager, Federal Systems Integrators (FSI), you will lead joint capture and channel coordination across Datadog's federal systems …

Skills: Capture management, Federal sales, Channel management, Business development, Government contract vehicles

Datadog

Security Sales Engineer

Washington, District of Columbia, United States · Hybrid

$118k–$157k/yr

Senior$1.0B raised

Datadog is seeking a motivated and experienced Security Sales Engineer to join our dynamic enterprise sales engineering team. In this role, you will play a critical part in driving our security sales efforts by providing…

Skills: SIEM platforms, Detection pipelines, SOC workflows, Endpoint security, EDR

Datadog

Manager I, Documentation

Washington, District of Columbia, United States · Remote OK

$131k–$193k/yr

Senior$1.0B raised

The Documentation team creates engaging and informative technical content, particularly our public product documentation: Datadog Docs. This is an opportunity for a Documentation Manager to help us deliver high quality t…

Skills: Technical Writing, People Management, API Documentation, Documentation as Code, Ruby

Software Jobs in Washington, DC (Now Hiring) — 2,619 open — Page 36

AI Security Engineer (Mid)

Federal Account Executive, Named Accounts (DOW)

Senior Data Analytics Engineer

Senior Engineer – Robotics Middleware & Applications

Junior Endpoint Protection Analyst

AI Product Manager, Public Sector

Senior Forward Deployed Strategist, Public Sector

Territory Software Account Executive (Mid-Atlantic)

Senior Forward Deployed Engineer, Public Sector

Forward Deployed Data Engineer - Databricks

Senior Account Executive - Fully Remote

Assistant General Counsel, Product & AI Innovation | Hybrid | Reston, VA

Proposal Manager, Training Consultant

Penetration Tester

Software Developer/Engineer

Principal Partner Enablement Manager

Strategic Account Executive

Senior Capture Manager

Security Sales Engineer

Manager I, Documentation

AI Security Engineer (Mid)

Tired of cold applications?

Responsibilities

Requirements

Full job description

Responsibilities:

AI Security Engineering & Implementation

Support the design, development, testing, deployment, and maintenance of AI-powered security solutions for real-time threat detection, automated incident response, behavioral analytics, and compliance monitoring within the client's enterprise cybersecurity environment.

Automate cybersecurity workflows using AI and scripting technologies to improve the efficiency and speed of security incident response, vulnerability prioritization, compliance assessment, and risk management activities across the enterprise.

Develop and implement automated compliance monitoring tools leveraging AI to continuously assess adherence to NIST SP 800-53 controls, FISMA requirements, and agency-specific security standards, reducing manual assessment burden and enhancing continuous monitoring effectiveness.

Support the implementation of AI-driven risk assessment methodologies, developing automated data pipelines, scoring models, and visualization capabilities that provide actionable risk intelligence to cybersecurity leadership and Government stakeholders.

Assist in the implementation of AI capabilities for fraud detection, policy enforcement, and risk mitigation across cybersecurity operations, developing and tuning automated detection algorithms and behavioral models aligned with agency requirements.

Support the enhancement of regulatory reporting capabilities by leveraging AI to analyze compliance data, identify trends, and generate automated reports supporting FISMA, FITARA, and other federal reporting requirements.

Assist in the secure integration of Perplexity and related AI tools within the agency enterprise environment, supporting configuration, access control implementation, data handling governance, and compliance verification activities.

AI Model Development & Optimization

Develop, train, evaluate, and operationalize machine learning models for cybersecurity use cases, following rigorous model development practices including data preprocessing, feature engineering, model selection, hyperparameter tuning, cross-validation, and performance evaluation.

Implement and maintain CI/CD pipelines for automated AI model updates, security enhancements, and performance monitoring, ensuring models remain accurate, effective, and aligned with the evolving threat landscape throughout the period of performance.

Monitor deployed AI model performance on an ongoing basis, detecting and remediating model drift, accuracy degradation, false positive/negative rate changes, and adversarial manipulation risks that could reduce the effectiveness of AI-powered security capabilities.

Identify and implement algorithmic optimizations to improve the computational efficiency, resource utilization, and detection accuracy of deployed AI and machine learning models within the enterprise environment.

Conduct regular testing and validation of AI model outputs, collaborating with SOC analysts and security engineers to verify that model predictions and automated decisions align with operational security requirements and acceptable risk thresholds.

Document all model development activities, including data sources, preprocessing steps, model architectures, training parameters, evaluation metrics, and deployment configurations, maintaining comprehensive model documentation in the program's designated knowledge management repository.

AI Governance & Compliance Support

Support the implementation and maintenance of the program's AI governance framework, assisting the AI Security Engineer Lead in assessing AI tools, models, and capabilities for security, privacy, and compliance risks prior to deployment and throughout their operational lifecycle.

Conduct AI risk assessments for proposed and existing AI integrations, aligning assessments with NIST AI RMF guidelines and documenting identified risks and mitigation strategies in the enterprise risk register and applicable system security documentation.

Assist in ensuring all AI capabilities and integrations comply with applicable federal privacy laws, Executive Orders on AI, OMB AI governance policies, agency AI policies, and records management requirements, coordinating with privacy and compliance teams on cross-cutting requirements.

Assist in integrating AI risk management activities into the broader enterprise RMF and FISMA compliance programs, ensuring AI-related risks and controls are accurately reflected in system security plans, POA&Ms, and continuous monitoring reporting.

Support supply chain risk assessments for AI tools, third-party AI models, and external AI data sources, documenting findings and recommendations in accordance with applicable federal supply chain risk management requirements.

Technical Collaboration & Documentation

Participate in technical working sessions, architecture reviews, and sprint planning activities, contributing AI security engineering expertise and providing accurate technical input to support program planning and delivery activities.

Prepare and contribute to AI-related program deliverables, including status reports, recommendation documents, project plans, hardware and software review reports, and assessment reports, in accordance with required timelines and Government quality standards.

Provide technical support and expertise to ISSO and Security Control Assessor (SCA) personnel in the development of security documentation supporting AI system FISMA activities, including SSP inputs, control implementation descriptions, and assessment evidence.

Support the development and delivery of AI security awareness briefings and training materials for Government stakeholders and agency personnel under the direction of the AI Security Engineer Lead.

Required Education and Experience:

Bachelor’s degree in computer science, Artificial Intelligence, Cybersecurity, Information Systems, Data Science, or a related field from an accredited college or university.

Minimum of 4 years of experience in information technology or cybersecurity, with at least 2 years of demonstrated hands-on experience in AI security engineering, machine learning development, or AI governance within a complex enterprise IT environment.

Demonstrated experience developing, training, and deploying machine learning models for security or data analytics applications, including anomaly detection, behavioral analytics, predictive modeling, or classification use cases.

Experience integrating AI or machine learning capabilities into enterprise security tools or operational workflows.

Familiarity with federal cybersecurity frameworks and standards, including FISMA, NIST SP 800-53, and applicable AI governance guidelines.

Ability to obtain and maintain a Minimum Background Investigation (MBI) or higher, PIV credentials, and all requisite IT access authorizations; must be eligible for Top Secret clearance access should such a requirement arise during the period of performance.

Preferred Education and Experience:

Master's degree in Artificial Intelligence, Machine Learning, Cybersecurity, Computer Science, Data Science, or a related field.

Prior experience supporting federal civilian agency AI security or cybersecurity programs in an engineering or technical contributor capacity.

Experience working on GSA Multiple Award Schedule (MAS) HACS SIN contracts or comparable federal IT cybersecurity contract vehicles.

Familiarity with the NIST AI Risk Management Framework (AI RMF) and its practical application within a federal agency cybersecurity program.

Required Skills and Competencies:

Strong communication skills in English, both written and oral, with the demonstrated ability to clearly explain AI security engineering concepts, model development findings, and technical recommendations to both technical peers and non-technical Government stakeholders.

Proficiency with AI and machine learning development frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn, or equivalent) for developing, training, evaluating, and operationalizing machine learning models for cybersecurity applications.

Proficiency with scripting and automation languages, including Python, PowerShell, SQL, and JSON, for AI model development, data pipeline construction, feature engineering, and cybersecurity workflow automation.

Experience with AI-driven SIEM capabilities, including the development of machine learning-based detection rules, behavioral analytics models, and automated response playbooks within enterprise SIEM platforms such as Microsoft Sentinel or equivalent solutions.

Experience developing and maintaining CI/CD pipelines for automated AI model updates and performance monitoring within a DevSecOps delivery environment.

Familiarity with AI governance principles, including AI risk assessment, AI model inventory management, AI lifecycle management, and responsible AI practices aligned with NIST AI RMF or equivalent federal AI governance standards.

Knowledge of federal cybersecurity frameworks and standards, including FISMA, NIST SP 800-53, NIST SP 800-207 Zero Trust Architecture, OMB M-22-09, and FedRAMP, as they relate to AI security engineering and governance responsibilities.

Familiarity with enterprise cybersecurity functional areas including SOC operations, incident response, threat intelligence, vulnerability management, and security engineering, sufficient to effectively develop and integrate AI capabilities into operational cybersecurity workflows.

Experience developing and maintaining technical documentation for AI systems and cybersecurity capabilities, including architecture diagrams, data flow diagrams, model documentation, and standard operating procedures meeting applicable federal standards.

Strong analytical and problem-solving skills with the ability to diagnose AI model performance issues, integration failures, and data quality problems, and develop effective corrective actions under the direction of the AI Security Engineer Lead.

Familiarity with privacy and data protection requirements applicable to AI systems, including Privacy Act considerations, data minimization principles, and privacy risk assessment processes for AI-enabled capabilities.

Experience assessing supply chain risks associated with third-party AI tools, models, and data sources within a federal IT environment.

Preferred Skills and Competencies:

CompTIA Security+, Certified Ethical Hacker (CEH), Certified Information Systems Security Professional (CISSP), or equivalent cybersecurity certification.