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cybersecurity engineer Jobs in Washington

cybersecurity engineer

network & security infrastructure engineer Jobs in Washington

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senior big data developer

senior cybersecurity engineer

Fusion Technology-LLC

<div>Who is Fusion Technology?
Fusion Technology is a performance-driven HUBZone Small Business concern residing in the heart of the beautiful mountainsides of West Virginia, steps away from the Federal Bureau of Investigation's Criminal Justice Information Services Division's Headquarters. Founded in 2007 by an Engineer-by-trade, Fusion Technology dedicates our valuable resources to providing comprehensive IT services and solutions to mission-critical US Government programs and the Intel Community.
Position Location: Washington, DC
Who are you?
Security-cleared Professional: An active TS Clearance is required to be considered for this position.
Education and Experience: You have a Bachelor's Degree from an accredited college or university in a related field. At least 3-5 year of experience are required for the following:<ul><li>
Strong proficiency with the Power Platform, SharePoint, and Infopath tool suite required.</li><li>
Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. required.</li><li>
Experience with common data science toolkits, such as R, Weka, NumPy, MATLAB, etc. required.</li><li>
Experience with data science tools and software such as Microsoft Power BI, Anaconda and Statistical Package for the Social Sciences (SPSS) required.</li><li>
In absence of years of experience, certifications or past work may be used to show the level of experience needed to perform at this level.</li></ul>
Preferred Qualifications:
Experience connecting to and extracting/manipulating data from the following systems strongly preferred:<ul><li>
Asset Management System (AMS), BigFix, Enterprise Process Automation System (EPAS), Facilities Integration Tool (FIT), Joint Cybersecurity Authorization and Management (JCAM), HR Source/HR Reports, Sentinel, Tenable, Unified Finance Management System (UFMS), Xacta, Microsoft Defender for Enterprise, JIRA, JIRA Service Manager, and CrowdStrike.</li></ul>
What you'll do:
This position develops solutions as part of a combined IT Business Intelligence development and data science team working to integrate the Agency's business intelligence reporting capabilities, with a particular focus on IT, cybersecurity, and finance business data. In addition to traditional data science techniques. This Position works to support the developer in the creation, maintenance, and improvement of products, primarily in the Power Platform suite, that facilitate comprehensive end-to-end data collection, transform raw data into actionable business insights through statistical analysis, KPI development, PowerBI dashboarding, and proven machine learning methods, and reduce or eliminate manual effort in data processing by automating common processes. The data scientist will propose, implement, and leverage AI and ML solutions to advance FBI's business intelligence capabilities. Data science tasks will include analysis, query, aggregation, visualization, extract/transform/load, complex statements, scripts, stored procedures, triggers, and implement business intelligence and data warehousing solutions. Mine data using state of the art methods.<ul><li>
Builds, maintains, and improves dashboards, applications, and automations within the Power Platform (PowerBI, Power Automate, and PowerApps), SharePoint, and InfoPath environments to reduce or eliminate manual effort in data processing by automating common processes.</li><li>
Connects to and leverages application programming interfaces (APIs), system-to-system connections, and manual transfer of data as part of business intelligence extract, transforms, and load (ETL).</li><li>
Builds predictive risk models backed by statistical analysis and support data-driven solutions.</li><li>
Identifies and applies usages of AI and ML to extract key insights from unstructured system documentation for analysis, to automate of processes, and to integrate with other applications.</li><li>
Develops and carry out full-service data calls, including creation of collection applications and forms, data normalization, data cleansing, and visualization.</li><li>
Creates insightful and impactful business intelligence analysis and visualizations to be consumed by FBI senior management, IT system owners, and Division and Field Office leaders.</li><li>
Develops and improves methodologies and tools to assess cybersecurity, financial, and strategic risk at the information system, division, branch, and enterprise level.</li><li>
Researches and recommends business data storage and data integration solutions specific to the FBI IT environment.</li><li>
Develops user guides and documents for business intelligence products.</li><li>
Finds and designs new approaches to handle, analyze, and use large data sets.</li><li>
Solves complex data and storage issues.</li><li>
Analyzes and reports results with actionable recommendations.</li><li>
Connects to and leverage application programming interfaces (APIs), system-to-system connections, and manual transfer of data as part of business intelligence extract, transform, and load (ETL).</li><li>
Incorporates data science tools such as scripting (SQL, R, Python, etc.) into existing and new services to continuously advance available offerings.</li><li>
Identifies, understands, and connects new sources of business intelligence from enterprise holdings that answer key business intelligence questions from FBI leadership.</li><li>
Develops and improves methodologies and tools to assess cybersecurity, financial, and strategic risk at the information system, division, branch, and enterprise level.</li><li>
Works on data collection for regular and ad-hoc data calls for internal and external customers, develops and enhances service requests portals, dashboards and visualizations integrating business data from SharePoint, applications, files, and internal and external data sources, creating and maintaining Power Automations supporting multiple business processes, integration of AI/ML into BI reporting, cleansing, and curation of business intelligence datasets, re-development of a quantitative cybersecurity risk assessment tool, and development of additional quantitative risk assessment tools.</li></ul>
What matters to you matters to us.
Fusion Technology values its employees and works hard to ensure proper care for them and their families. We desire to compensate employees in a competitive, motivational, fair, and equitable way with other employers in the marketplace. Salary is only one component of employee compensation but an integral part of recruiting and retaining qualified employees. However, at Fusion Technology, we take a comprehensive approach and consider each employee's needs to tailor a compensation plan that provides financial security and peace of mind. Our competitive package includes a best-in-class matching 401K program, a comprehensive healthcare plan through Cigna, a competitive employer contribution to a health savings account, vision and dental plans, life insurance, short- and long-term disability, and personal leave, in addition to paid certifications and training.
Fusion Technology LLC is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills, and experiences within our workforce.Qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.</div>

Mid-Level Data Scientist

ThinkTek

<div>Data Architecture Engineer (TS/SCI Cleared)
Who We Are: ThinkTek LLC is a fast-growing Certified SBA 8(a) and Service-Disabled Veteran-Owned Small Business (SDVOSB). We specialize in providing management and technology consulting services to support the business and technology modernization efforts of the Federal Government. ThinkTek was formed with the specific purpose of providing its clients a tailored solution around ProgramProject Management, Strategic Planning, and IT Services.
Position Description: ThinkTek is seeking a Senior Data Scientist to lead the development and application of advanced analytics, machine learning, and artificial intelligence solutions in support of large-scale Federal Government programs. The selected candidate will leverage extensive experience in data science, statistical modeling, and programming to deliver mission-critical insights, predictive capabilities, and decision-support tools. The ideal candidate will bring expertise in working with secure environments, large and complex datasets, and advanced data visualization techniques.
Responsibilities:<ul><li>
Develop and maintain a comprehensive Data Migration Plan.</li><li>
Document current (&quot;As-Is&quot;) and future state (&quot;To-Be&quot;) conceptual, logical, and physical data models and data dictionaries.</li><li>
Map legacy data elements from disparate systems to the future state data schema.</li><li>
Draft and propose data quality rules for approval, and support cleansing efforts under direction to identify and remediate duplicate, orphaned, or corrupted records prior to migration.</li><li>
Utilize data engineering best practices to build scalable, automated transformation pipelines.</li><li>
Coordinate with stakeholders to design, engineer, and oversee the technical interfaces and data pipelines required for continuous, secure data synchronization.</li><li>
Ensure all engineered data models, pipelines, and architectures comply with relevant architectures and DoD IL5 data security protocols.</li><li>
Design and engineer the underlying data structures and optimized data models necessary for generating high-level dashboards and executive metrics.</li><li>
Serve as primary expert and liaison (internal and external) for data architecture</li></ul>
Required Qualifications:<ul><li>
Bachelor's Degree or higher in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field (Master's or PhD preferred).</li><li>
5+ years of experience in data science, advanced analytics, or related fields.</li><li>
Demonstrated expertise with Python, R, or similar programming languages.</li><li>
Strong knowledge of machine learning, AI, and statistical modeling techniques.</li><li>
Experience with SQL and working with large-scale databases.</li><li>
Proficiency in data visualization tools (Tableau, Power BI, or equivalent).</li><li>
Experience working in secure federal or DoD environments.</li><li>
Active Top Secret Clearance with SCI eligibility required.</li></ul>
Pay Range
The anticipated annual salary range for this position is $150,030 &ndash; $163,020. This range is a good-faith estimate and not a guarantee of compensation. Final compensation will be based on factors including experience, education, skills, geographic location, internal equity, market data, and applicable contract requirements, and may fall outside the posted range.
ThinkTek LLC is proud to be an Equal Opportunity Employer (EOE), making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. ThinkTek offers medical, dental, and vision insurance to all full-time employees; PTO and a variety of other paid leave options are also available. You can read more about ThinkTek benefits at https://www.thinktekllc.com/careers/.</div>

Data Architecture Engineer

Cognizant

***No Visa Transfer/c2c/Sponsorship available now or in the future, for this role** Job Summary We are seeking a highly skilled and innovative Senior AI/ML Engineer with strong expertise in Python, PySpark, Azure Machine Learning, Generative AI, and Full Stack Development to design and deliver advanced analytics and AI-driven solutions for global investment banking and brokerage operations. The ideal candidate will combine deep technical expertise in machine learning, distributed computing, cloud-native AI platforms, and modern AI frameworks such as LangChain, LangGraph, RAG, Agentic AI Frameworks, FastAPI, and Azure OpenAI Service . This role requires close collaboration with business stakeholders to transform complex financial data into actionable insights that improve decision-making, reduce operational risk, and enhance operational efficiency. Key Responsibilities Machine Learning & Advanced Analytics
 Design, develop, and deploy advanced machine learning models using Python and PySpark to analyze large-scale financial datasets and generate actionable business insights.
 Build predictive, classification, clustering, anomaly detection, forecasting, and risk models supporting investment banking and brokerage functions.
 Perform rigorous model validation, back-testing, and experimentation using historical and simulated market data.
 Evaluate and implement appropriate statistical, machine learning, deep learning, and AI techniques based on business requirements and regulatory considerations.
 Optimize model performance through feature engineering, hyperparameter tuning, algorithm enhancements, and distributed computing techniques. Generative AI & Agentic Solutions
 Design and implement enterprise-grade Generative AI solutions using Azure OpenAI Service .
 Build and deploy Retrieval-Augmented Generation (RAG) applications leveraging vector databases and knowledge retrieval systems.
 Develop intelligent agent-based systems using LangChain, LangGraph, and Agentic AI frameworks to automate business workflows and enhance decision support.
 Apply Natural Language Processing (NLP), Large Language Models (LLMs), document intelligence, and conversational AI to streamline surveillance, reporting, compliance, and advisory functions.
 Ensure safe, responsible, and governed adoption of Generative AI capabilities across the organization. Python Full Stack Development
 Design and develop scalable backend services and APIs using FastAPI .
 Build microservices and AI application frameworks that integrate machine learning and GenAI capabilities into enterprise ecosystems.
 Develop reusable and maintainable software components following modern software engineering best practices.
 Implement API integrations, authentication mechanisms, monitoring, logging, and performance optimization strategies. Data Engineering & MLOps
 Design and implement scalable data pipelines and feature engineering workflows using Azure Machine Learning and cloud-native services.
 Build reusable data products and machine learning components supporting multiple analytics and AI initiatives.
 Partner with Data Engineering teams to operationalize machine learning models and AI applications.
 Establish model monitoring, retraining strategies, experiment tracking, and lifecycle management processes.
 Ensure solutions are secure, reliable, scalable, and production-ready. Cloud & Azure AI Platform
 
Develop end-to-end ML and AI solutions using: 
Azure Machine Learning
 Azure OpenAI Service
 Azure Data Lake
 Azure Databricks
 Azure Storage Services
 Azure DevOps
 Manage model deployment, monitoring, governance, and operationalization on Azure platforms.
 Support enterprise-scale AI and analytics workloads while maintaining compliance and security standards. Business Collaboration
 Collaborate with product owners, business analysts, operations teams, and technology stakeholders to define high-value data science initiatives.
 Translate complex investment banking and brokerage business challenges into measurable analytical solutions.
 Present recommendations and analytical findings to both technical and non-technical audiences.
 Drive adoption of AI and machine learning solutions through effective communication and stakeholder engagement. Governance & Responsible AI
 Promote responsible AI practices by evaluating model fairness, explainability, bias, security, and data quality.
 Document assumptions, risks, methodologies, and limitations in a transparent and accessible manner.
 Ensure adherence to regulatory requirements, model governance frameworks, and enterprise AI policies. Leadership & Mentoring
 Mentor junior data scientists, machine learning engineers, and developers.
 Promote best practices in software development, experimentation, MLOps, AI engineering, and model governance.
 Contribute to a culture of innovation, continuous learning, and technical excellence. Required Qualifications Technical Skills
 8+ years of experience in Data Science, Machine Learning, AI Engineering, or related fields.
 Expert-level proficiency in Python and PySpark for large-scale data processing and model development.
 
Strong experience with: 
FastAPI
 REST APIs
 Microservices Architecture
 Object-Oriented Programming
 Software Engineering Best Practices
 
Hands-on experience with: 
LangChain
 LangGraph
 RAG Architectures
 Agentic AI Frameworks
 LLM Application Development
 
Strong expertise in: 
Azure Machine Learning
 Azure OpenAI Service
 Azure Databricks
 Azure Data Lake
 MLOps and CI/CD Practices
 Experience developing and deploying enterprise-grade AI/ML solutions in cloud environments. Machine Learning & AI
 
Deep understanding of: 
Supervised Learning
 Unsupervised Learning
 Deep Learning
 Ensemble Methods
 NLP
 Time-Series Forecasting
 Anomaly Detection
 Risk Modeling
 Strong understanding of model evaluation, feature engineering, experimentation, validation, and explainability. Domain Experience
 
Prior experience supporting: 
Investment Banking
 Capital Markets
 Brokerage Operations
 Trade Surveillance
 Risk Management
 Front Office or Middle Office Functions
 Understanding of financial products, market data, and regulatory expectations is highly desirable. Soft Skills
 Excellent communication and stakeholder management skills.
 Ability to explain complex technical topics to non-technical audiences.
 Strong analytical and problem-solving capabilities.
 Experience working effectively within distributed and hybrid teams. Preferred Qualifications
 Experience with vector databases such as Pinecone, Azure AI Search, Weaviate, or ChromaDB.
 Knowledge of containerization technologies including Docker and Kubernetes.
 Experience with CI/CD pipelines and DevOps practices.
 Exposure to Responsible AI, Model Risk Management, and AI governance frameworks.
 Azure certifications in AI, Data Science, or Machine Learning.
 <ul>
<li>Please note this role is not able to offer visa transfer or sponsorship now or in the future* We're excited to meet people who share our mission and who can make an impact in a variety of ways. Don't hesitate to apply—even if you only meet the minimum requirements. Think about your transferable experiences and unique skills that make you stand out. Salary and Other Compensation: The annual salary for this position is between $100,000 $ 156,000+ depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans. Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:</li>
</ul>
Medical/Dental/Vision/Life Insurance
 Paid holidays plus Paid Time Off
 401(k) plan and contributions
 Long-term/Short-term Disability
 Paid Parental Leave
 Employee Stock Purchase Plan Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Gen AI Developer/Lead

Humana

<div>
 
 Become a part of our caring community
 
 
 
 The Lead Software Engineer codes software applications based on business requirements. The Lead Software Engineer works on problems of diverse scope and complexity ranging from moderate to substantial.
 
 
 The Lead Software Engineer standardizes the quality assurance procedure for software. Oversees testing and debugging and develops fixes. Researches complaints and makes necessary adjustments and/or recommendations to resolve complex software related issues. Advises executives to develop functional strategies (often segment specific) on matters of significance. Exercises independent judgment and decision making on complex issues regarding job duties and related tasks, and works under minimal supervision, Uses independent judgment requiring analysis of variable factors and determining the best course of action.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Technical Architecture and Ownership:** Design and own the end-to-end architecture of Centerwell's AI systems, including LLM-powered clinical tools, RAG pipelines, harnesses, agent-based workflows, and intelligent automation. Make and communicate foundational technical decisions in close collaboration with the broader engineering team.
 </li>
 <li>
 Model Development and Fine-Tuning:** Evaluate, select, and where appropriate guide the fine-tuning of foundation models. Establish model evaluation frameworks that prioritize safety, accuracy, and clinical relevance.
 </li>
 <li>
 Clinical and Product Partnership:** Collaborate closely with product managers, designers, clinicians, and data stakeholders to understand care delivery workflows and translate them into well-scoped, high-impact AI features.
 </li>
 <li>
 HIPAA Compliance and Responsible AI:** Ensure all AI systems are designed, deployed, and monitored in compliance with HIPAA and Humana's Responsible AI standards, including participation in AIRB and Responsible AI Council review processes where applicable.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 
 Use your skills to make an impact
 
 
 
 <ul>
 <li>
 B.S. or M.S. in Computer Science, Engineering, or a related field (or equivalent experience)
 </li>
 <li>
 8+ years of software engineering experience, with 4+ years focused on production AI/ML systems
 </li>
 <li>
 Deep, hands-on experience building with large language models and orchestration frameworks (LangChain, LlamaIndex, or equivalent)
 </li>
 <li>
 Strong proficiency in Python, Typescript and modern ML tooling (Hugging Face, PyTorch, or similar)
 </li>
 <li>
 Proven experience designing and deploying RAG pipelines and vector search systems in production
 </li>
 <li>
 Working knowledge of model fine-tuning approaches (LoRA, RLHF, instruction tuning, or equivalent)
 </li>
 <li>
 Experience designing and implementing custom LLM and agent evaluation frameworks, including automated eval pipelines, benchmark construction, and output quality assessment at scale
 </li>
 <li>
 Experience designing and building multi-agent AI systems, including agent orchestration, tool use, and sandboxed execution environments
 </li>
 <li>
 Demonstrated ownership of complex AI systems end-to-end, from architecture through production operation
 </li>
 <li>
 Understanding of HIPAA requirements and secure handling of protected health information (PHI)
 </li>
 <li>
 Strong written and verbal communication skills across technical and non-technical audiences
 </li>
 <li>
 Hands-on experience with AI-assisted development tools and LLM coding harnesses (Claude Code, Pi Agent, Cursor, Codex, or similar)
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience in healthcare, clinical informatics, or other highly regulated industries
 </li>
 <li>
 Exposure to clinical NLP, medical coding, or EHR/FHIR data standards
 </li>
 <li>
 Experience operating AI systems at scale on cloud platforms (AWS, Azure, or GCP)
 
 
 </li>
 </ul>
 A
 
 dditional Information
 
 
 
 
 The candidate must live close to one of our designated IT locations: NYC, NY; Louisville, KY; Tampa, FL; Fort Lauderdale, FL; Dallas/Frisco, TX; Boston, MA; Washington, D.C: Atlanta, GA, Nashville, TN, Chicago, IL, or Charlotte, NC.
 
 
 
 
 Scheduled Weekly Hours
 
 
 
 40
 
 
 
 Pay Range
 
 
 
 The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.
 
 
 $129,300 - $177,800 per year
 
 
 This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.
 
 
 
 Description Of Benefits
 
 
 
 Humana, Inc. and its affiliated subsidiaries (collectively, &ldquo;Humana&rdquo;) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.
 
 
 
 About Us
 
 
 
 About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health &ndash; delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com.
 
 
 
 Equal Opportunity Employer
 
 
 
 It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.
</div>

Lead Software Engineer - AI

The Washington Post

<div><h1 class="jobSectionHeader">Join the future of news</h1>
We&rsquo;re on a mission to deliver riveting storytelling for all of America. At The Washington Post, you&rsquo;ll help reinvent news. Our work is driven by a deep investigative spirit and enhanced by innovation to bring audiences closer to the stories that matter most.<h2 class="jobSectionHeader">
About Our Team</h2>
The Washington Post is powered by the passion and talent of our people. It takes all of us to reinvent news. Beyond our award-winning Newsroom and Opinions teams, we work across many departments, including Brand &amp; Events, Communications, Customer Care, Engineering &amp; Product, Finance, Human Resources, Legal, Marketing &amp; Advertising, Print Operations, and Sales.<h2 class="jobSectionHeader">
Why This Role Matters</h2> 
The Washington Post is looking for a senior design leader with exceptional product judgment, a strong point of view about the future of digital experiences, and the ability to translate ambitious ideas into products that create meaningful value for customers and the business.
As a senior member of the Product organization, you will set the design vision for The Washington Post's product portfolio and help define how millions of people discover, experience, and engage with our journalism. You will work with leaders across Product, Technology, Newsroom, Opinion, and business units to ensure design is a strategic driver of product direction, subscriber value, and growth.
This is a pivotal moment for The Post and the broader media industry. Artificial intelligence, changing consumer behaviors, platform disruption, and evolving expectations for digital products are reshaping how people find and interact with information. You will help The Post respond to these changes by creating experiences that are more useful, distinctive, intuitive, and essential to people's daily lives.
Design is central to how we differentiate our products, build lasting relationships with audiences, and translate the quality and credibility of our journalism into experiences people value and trust.<h2 class="jobSectionHeader">
What Motivates You</h2><ul><li>
You are energized by the opportunity to define the future of a globally recognized digital product and shape how people experience high-quality journalism.</li><li>
You enjoy setting an ambitious long-term vision and building the organizational alignment and momentum needed to turn that vision into meaningful customer experiences.</li><li>
You see design as a strategic business capability and are motivated by using it to improve customer value, engagement, conversion, retention, and growth.</li><li>
You thrive at the intersection of product, technology, journalism, and business strategy and enjoy bringing different perspectives together around a shared customer experience.</li><li>
You care deeply about craft and believe enduring product quality comes from strong leaders, teams, systems, and standards.</li><li>
You are curious about how AI, personalization, and emerging interaction models will reshape digital experiences and want to help define what those changes mean for journalism.</li><li>
You want to build experiences that are distinctive, useful, and worthy of audiences' time and trust.</li></ul><h2 class="jobSectionHeader">
How You'll Support the Mission</h2><ul><li>
Sets the design vision and long-term strategy for The Washington Post's product portfolio, establishing a distinctive and cohesive customer experience and driving sustained progress and iteration against that vision.</li><li>
Shapes product and business strategy with senior leaders across Product, Technology, Newsroom, Opinion, and business units, using design to advance audience growth, engagement, retention, and other strategic priorities.</li><li>
Drives the design strategy for premium subscriber experiences and products that convert new audiences into paying customers, ensuring customer needs, business objectives, and The Post's journalistic mission inform product decisions.</li><li>
Leads the product expression of The Post's visual identity in partnership with Product and Editorial leadership, creating consistent, recognizable, and differentiated experiences across customer touchpoints.</li><li>
Oversees the strategy and evolution of The Post's design system, interaction patterns, and emerging experience frameworks, establishing scalable standards that improve product quality, consistency, accessibility, and speed across teams.</li><li>
Advances new approaches to experiencing journalism, including personalization, adaptive experiences, and emerging interaction models, positioning The Post to respond to changing customer expectations and technology.</li><li>
Builds and leads a high-performing product design organization, developing leaders and talent while establishing the priorities, practices, and cross-functional partnerships required to deliver exceptional customer experiences at scale.</li></ul><h2 class="jobSectionHeader">
The Skills and Experience You Bring</h2><ul><li>
A clear track record of 5+ years leading and improving user-facing digital products and experiences, with experience in direct-to-consumer, media, subscription, or similarly complex digital businesses.</li><li>
Demonstrated success defining and advancing a long-term product design vision and strategy across multiple products, platforms, or customer journeys.</li><li>
Experience leading and developing high-performing product design teams and design leaders while strengthening organizational capability and performance.</li><li>
Demonstrated ability to use design to influence meaningful customer and business outcomes, including acquisition, conversion, engagement, retention, and subscription growth.</li><li>
Experience partnering with senior leaders across Product, Technology, Editorial or Content, and business functions to establish priorities, influence strategy, navigate trade-offs, and make consequential product decisions.</li><li>
Deep expertise in digital product, interaction, and visual design, with strong judgment across customer journeys, design systems, and emerging experience models.</li><li>
Experience establishing and evolving scalable design systems, interaction standards, and practices across multiple products and customer touchpoints.</li><li>
Strong understanding of direct-to-consumer customer journeys and how product experience creates differentiated value for prospective and existing subscribers.</li><li>
Experience operating effectively in complex and ambiguous environments, creating clarity and alignment across teams with different priorities and perspectives.</li><li>
A thoughtful perspective on how AI and emerging technologies are changing digital interfaces, customer expectations, and the practice of product design.</li><li>
A portfolio or body of work demonstrating significant impact on customer experience, product strategy, design quality, and business outcomes.</li><li>
Demonstrated commitment to building inclusive teams and creating accessible experiences that serve audiences with a wide range of backgrounds, needs, and abilities.</li></ul><h2 class="jobSectionHeader">
</h2><h2 class="jobSectionHeader">Collaboration makes us stronger. That&rsquo;s why our offices are designed with open layouts, modern technology, and easy access to transportation. With certain exceptions for newsgathering and business travel, we work on-site five days a week.</h2><h2 class="jobSectionHeader">
Compensation and Benefits</h2>
Wherever you are in your life or career, The Washington Post offers comprehensive and inclusive benefits for every step of your journey:<ul><li>
Competitive medical, dental and vision coverage</li><li>
Company-paid pension and 401(k) match</li><li>
Three weeks of vacation and up to three weeks of paid sick leave</li><li>
Nine paid holidays and two personal days</li><li>
20 weeks paid parental leave for any new parent</li><li>
Robust mental health resources</li><li>
Backup care and caregiver concierge services</li><li>
Gender affirming services</li><li>
Pet insurance</li><li>
Free Post digital subscription</li><li>
Leadership and career development programs</li></ul>
Benefits may vary based on the job, full-time or part-time schedule, location, and collectively bargained status.
The salary range for this position is:
$211,700 - $352,900 Annual
The actual salary within this range will depend on individual skills, experience, and qualifications as they relate to specific job requirements. This position may be eligible for a bonus or incentive program, and a member of the Talent Acquisition team will discuss bonus payment terms and conditions during the interview process.<div><div><div><div><div><div><div><h1 class="jobSectionHeader">
Your story awaits. Apply today!
</h1>Learn more about The Post at careers.washingtonpost.com.</div></div></div></div></div></div></div></div>

Senior Director, Product Design

Soft Tech Consulting

<div>Overview:

UNITED STATES CITIZEN
MUST HAVE AN ACTIVE TOP SECRET CLEARANCE
100% ONSITE - WASHINGTON, DC
NO THIRD PARTY VENDORS<div> 
Salary range is ___ BUT dependent upon the candidate's skills, experience, education and certifications.</div><div></div><div> 
Soft Tech offers competitive BENEFITS in the areas of: Medical, Dental, Vision, 401K, Short Term Disability, Long Term Disability, Life Insurance, PTO, and Paid Holidays</div><div></div><div> 
Soft Tech Consulting is seeking a highly motivated, self-directed individual to fill the role of a DevSecOps Engineer, who will maintain multiple client-managed cloud application stacks (Tomcat, Drupal, React, Node.js, Nginx, etc.) running as Linux containers on Amazon ECS clusters and support the IaC (AWS Cloudformation) and functional CI/CD Gitlab runner pipelines. Should have a foundational multi-tier architectural knowledge, deployment, and maintenance, and a have foundational knowledge of AWS cloud engineering. This role requires experience in building and supporting container applications running Apache Tomcat, Nginx, Drupal, and Node.js, supporting the remediation of security vulnerabilities, supporting and managing PKI certs, and basic REST and SOAP API integration experience.</div>
Responsibilities:
<ul><li>Maintain multiple client-managed cloud application stacks (Tomcat, Drupal, React, Node.js, Nginx, etc.) running as Linux containers on Amazon ECS clusters and support the IaC (AWS Cloudformation) and functional CI/CD Gitlab runner pipelines.
</li><li>Build and maintain Linux-based Docker Containers (Advanced proficiency level)</li><li>
Develop and maintain IaC using Cloudformation (Intermediate proficiency level)</li></ul>
Qualifications:
<ul><li>Bachelor's Degree in Computer Science or equivalent</li><li>
Should have a foundational multi-tier architectural knowledge, deployment, and maintenance, and a have foundational knowledge of AWS cloud engineering.
</li><li>Requires experience in building and supporting container applications running Apache Tomcat, Nginx, Drupal, and Node.js, supporting the remediation of security vulnerabilities, supporting and managing PKI certs, and basic REST and SOAP API integration experience.</li><li>
AWS Cloud engineering skills with ECS and/or EKS experience (Advanced proficiency level)</li><li>
Experience working with CI/CD pipelines such as GitLab CI/CD, GitHub Actions, Jenkins, or similar tools (Advanced proficiency level)</li><li>
Experience with SSL/TLS certificate and PKI management (Advanced proficiency level)</li><li>
AI Code Assist (Claude Code, Codex, etc.) (Intermediate proficiency level)</li><li>
Tomcat, Drupal, Nginx, Node.js administration and deployment (Intermediate proficiency level)</li><li>
Git (Intermediate proficiency level)</li><li>
Linux (Intermediate proficiency level)</li><li>
Ability to read application and system logs and perform basic troubleshooting (Intermediate proficiency level)</li><li>
REST and SOAP API Integration experience (Intermediate proficiency level)</li><li>
Basic scripting experience with Bash, Python, or PowerShell (Intermediate proficiency level)</li><li>
Basic understanding of relational databases and SQL (Beginner proficiency level)</li><li>
Container vulnerability and security remediations (Beginner proficiency level)</li><li>
AWS Cloud Operations (Advanced)</li><li>
Infrastructure AS Code (IaC) (Advanced)</li><li>
Docker Container (Advanced)</li><li>
Certificate Management Implementation (SSL/TLS)</li><li>
AI Code Assist (Claude Code, Codex, etc.(Intermediate)</li><li>
Able to work with minimal supervision with little to no oversight</li><li>
Excellent interpersonal/communication and written skills</li></ul><div>
PREFERRED:</div><ul><li>
AWS Solution Architect Associate Certification
</li></ul>About Us:
<div>
Soft Tech Consulting, Inc. is a woman and minority-owned small business headquartered in Chantilly, VA. With contracts in both the public and private sectors in the DC metro area and across the country, Soft Tech is an organization made up of highly successful and talented Information Technology professionals offering enterprise class solutions for any size organization at great value. Soft Tech&rsquo;s mission is to help government organizations design, implement, and maintain mission critical Information Technology solutions. By focusing jointly on our employees and our customers, we are able to achieve our mission by providing each and every one of our customers with continuous quality customer support. 
 
Soft Tech Consulting, Inc. is an Equal Opportunity Employer.</div></div>

DevSecOps Engineer

Affirm

<div>
 Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.
 
 
 On the Servicing ML team, you will build and improve machine learning and AI systems that automate customer operations such as disputes, returns, fraud, and chargebacks to make the best decisions for Affirm and our customers. You will work closely with experienced ML engineers, platform partners, and cross-functional stakeholders to take models from idea to prototype to production, and to keep them healthy with strong measurement and monitoring.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 You will develop AI systems that automate dispute and chargeback handling using structured evidence and business logic, creating a better experience for our customers.
 </li>
 <li>
 You will build models that automate refunds, getting money back to our customers faster.
 </li>
 <li>
 You will build and maintain evidence extraction pipelines that process unstructured data using LLM-powered workflows to produce structured, actionable outputs.
 </li>
 <li>
 You will prototype new modeling ideas, run offline experiments, and drive the best-performing approaches into production with appropriate risk controls.
 </li>
 <li>
 You will collaborate across Engineering, Servicing Operations, Product, and ML Platform to define requirements, evaluate tradeoffs, and communicate results clearly to both technical and non-technical audiences.
 
 
 </li>
 </ul>
 
 What We Look For
 
 
 
 <ul>
 <li>
 You have a total of 2+ years of experience as a machine learning engineer
 </li>
 <li>
 Strong Python skills and experience writing production-quality code
 </li>
 <li>
 Experience building and evaluating models for tabular classification problems (preferably gradient-boosted decision trees like LightGBM/XGBoost/CatBoost).
 </li>
 <li>
 Experience building applications with LLM APIs (e.g., OpenAI, Anthropic), including structured extraction, prompt engineering, and orchestration frameworks like LangChain or LangGraph.
 </li>
 <li>
 Familiarity with document and unstructured data processing (PDF/image extraction, text parsing, or similar).
 </li>
 <li>
 Experience with ML lifecycle tooling for training orchestration, experimentation, and model monitoring (e.g., Kubeflow, Airflow, MLflow, or equivalent internal platforms).
 </li>
 <li>
 Proficient in using AI-powered developer tools (e.g., Claude Code, Cursor, or similar) to accelerate iteration, debugging, and code quality as part of day-to-day development workflows.
 </li>
 <li>
 You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code.
 </li>
 <li>
 You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews.
 </li>
 <li>
 Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.
 </li>
 <li>
 You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
 </li>
 <li>
 This position requires either equivalent practical experience or a Bachelor&rsquo;s degree in a related field
 
 
 </li>
 </ul>
 
 Base Pay Grade
 
 - L
 
 
 
 Equity Grade
 
 - 6
 
 
 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
 
 
 Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
 
 
 USA base pay range (CA, WA, NY, NJ, CT) per year: $165,000 - $225,000
 
 
 USA base pay range (all other U.S. states) per year: $146,000 - $206,000
 
 
 Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.
 
 
 
 Benefits
 
 
 
 We&rsquo;re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:
 
 
 <ul>
 <li>
 Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
 </li>
 <li>
 Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
 </li>
 <li>
 Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
 </li>
 <li>
 ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount
 
 
 </li>
 </ul>
 We believe It&rsquo;s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.
 
 
 [For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.
 
 
 By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.
 
 
</div>

Machine Learning Engineer II (Servicing ML)

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