software engineer

VERSA Integrated Solutions

<p>Position: AI/ML Engineer</p><p>Location: Washington, DC Metro Area (Hybrid/Onsite based on customer requirements)</p><p>Employment Type: Full-Time</p><p>Salary: Commensurate with Experience</p><p>About VERSA Integrated Solutions</p><p>VERSA Integrated Solutions is a premier provider of Information Technology, Artificial Intelligence, Cybersecurity, Cloud, Data Analytics, and Engineering services supporting Federal Government agencies. We help agencies modernize operations through innovative technologies, secure architectures, and mission-driven solutions. Our teams work on high-impact initiatives that improve decision-making, operational efficiency, and citizen services.</p><p>Position Summary</p><p>VERSA Integrated Solutions is seeking an experienced AI/ML Engineer to design, develop, deploy, and maintain Artificial Intelligence (AI) and Machine Learning (ML) solutions supporting Federal Government customers. The successful candidate will work closely with data scientists, software engineers, cloud architects, cybersecurity professionals, and business stakeholders to build intelligent applications that leverage predictive analytics, machine learning, generative AI, and large language models (LLMs).</p><p>The AI/ML Engineer will support the full lifecycle of AI solutions&mdash;from data preparation and model development to deployment, monitoring, optimization, and governance&mdash;while ensuring compliance with federal security, privacy, and Responsible AI requirements.</p><p>Position Objectives</p><p>The AI/ML Engineer will:</p><ul><li>Design and implement scalable AI and ML solutions.&bull; Build and optimize machine learning models for structured and unstructured data.&bull; Develop data pipelines to support AI workloads.&bull; Integrate AI capabilities into enterprise applications.&bull; Ensure AI solutions comply with federal security, privacy, and governance requirements.&bull; Collaborate with cross-functional teams to deliver mission-focused outcomes.</li></ul><p>Major Duties &amp; Responsibilities</p><p>AI &amp; Machine Learning Development</p><ul><li>Design, develop, train, test, and deploy machine learning models.&bull; Build supervised, unsupervised, reinforcement learning, and deep learning solutions.&bull; Develop predictive analytics and classification models.&bull; Optimize model performance and accuracy through feature engineering and hyperparameter tuning.&bull; Build reusable AI components and services.</li></ul><p>Generative AI &amp; Large Language Models</p><ul><li>Develop solutions using Large Language Models (LLMs).&bull; Implement Retrieval-Augmented Generation (RAG) architectures.&bull; Engineer prompts and fine-tune models where appropriate.&bull; Evaluate AI model outputs for accuracy, explainability, and bias.&bull; Support secure deployment of generative AI capabilities.</li></ul><p>Data Engineering &amp; Preparation</p><ul><li>Build and maintain data ingestion and transformation pipelines.&bull; Clean, normalize, and prepare structured and unstructured datasets.&bull; Collaborate with Data Engineers to optimize data availability and quality.&bull; Implement feature stores and model-ready datasets.</li></ul><p>MLOps &amp; Model Lifecycle Management</p><ul><li>Automate model training, testing, deployment, and monitoring.&bull; Develop CI/CD pipelines for machine learning solutions.&bull; Monitor model drift, performance degradation, and retraining needs.&bull; Maintain version control for models, datasets, and code.</li></ul><p>Responsible AI &amp; Governance</p><ul><li>Implement Responsible AI principles including fairness, transparency, explainability, and accountability.&bull; Ensure compliance with NIST AI Risk Management Framework, Executive Orders, and agency-specific AI policies.&bull; Document AI models, assumptions, limitations, and validation results.</li></ul><p>Collaboration &amp; Innovation</p><ul><li>Partner with software developers, cloud engineers, and business analysts to integrate AI into enterprise solutions.&bull; Present technical findings and recommendations to stakeholders.&bull; Evaluate emerging AI technologies and recommend improvements.</li></ul><p>Required Technical Skills</p><ul><li>Python&bull; SQL&bull; TensorFlow&bull; PyTorch&bull; Scikit-learn&bull; Pandas&bull; NumPy&bull; Hugging Face Transformers&bull; LangChain or similar orchestration frameworks&bull; Azure AI Services or Azure Machine Learning&bull; AWS SageMaker (preferred)&bull; Git/GitHub&bull; Docker&bull; Kubernetes&bull; RESTful APIs</li></ul><p>Preferred Skills</p><ul><li>Experience with Retrieval-Augmented Generation (RAG)&bull; Prompt engineering for LLMs&bull; Vector databases (e.g., Pinecone, Azure AI Search)&bull; Knowledge graph integration&bull; Natural Language Processing (NLP)&bull; Computer Vision&bull; Time-series forecasting&bull; Knowledge of FedRAMP and Zero Trust environments</li></ul><p>Required Qualifications</p><ul><li>Strong analytical and problem-solving skills.&bull; Excellent written and verbal communication skills.&bull; Ability to translate business requirements into AI-driven technical solutions.&bull; Experience working in Agile/DevSecOps environments.&bull; Experience supporting federal government customers is highly desirable.</li></ul><p>Education</p><p>Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, Mathematics, Statistics, or a related field. A Master's degree is preferred. Equivalent experience may be substituted for education.</p><p>Experience Levels</p><p>Junior (0&ndash;4 Years)</p><ul><li>Experience with Python and machine learning fundamentals.&bull; Exposure to cloud platforms and data science tools.&bull; Participation in AI/ML projects through coursework, internships, or professional experience.</li></ul><p>Intermediate (5&ndash;9 Years)</p><ul><li>Development and deployment of production AI/ML models.&bull; Experience with MLOps pipelines and cloud AI services.&bull; Collaboration with cross-functional software development teams.</li></ul><p>Senior (10&ndash;14 Years)</p><ul><li>Leadership in designing enterprise AI solutions.&bull; Expertise in generative AI, LLMs, and Responsible AI practices.&bull; Experience mentoring junior engineers and leading technical initiatives.</li></ul><p>Subject Matter Expert (15+ Years)</p><ul><li>Recognized authority in enterprise AI strategy and implementation.&bull; Experience shaping AI governance and modernization initiatives for large organizations.&bull; Trusted advisor to executive leadership on AI adoption and emerging technologies.</li></ul><p>Preferred Certifications</p><ul><li>Microsoft Certified: Azure AI Engineer Associate&bull; Microsoft Certified: Azure Data Scientist Associate&bull; AWS Certified Machine Learning &ndash; Specialty&bull; Google Professional Machine Learning Engineer&bull; TensorFlow Developer Certificate&bull; Databricks Certified Machine Learning Professional&bull; ITIL&reg; 4 Foundation (preferred)</li></ul><p>Desired Federal Experience</p><p>Experience supporting one or more of the following agencies is highly desirable:</p><ul><li>U.S. Census Bureau&bull; National Institutes of Health (NIH)&bull; Centers for Medicare &amp; Medicaid Services (CMS)&bull; Department of Commerce&bull; Department of Homeland Security (DHS)&bull; Department of Defense (DoD)&bull; Department of Labor (DOL)</li></ul><p>Security Clearance</p><ul><li>Ability to obtain and maintain a Public Trust or higherclearance, depending on customer requirements.</li></ul><p>Work Environment</p><ul><li>Hybrid or onsite within the Washington, DC Metro Area based on customer requirements.&bull; Collaborative, fast-paced environment supporting mission-critical federal AI initiatives.&bull; Occasional travel to customer sites may be required.</li></ul><p>Why Join VERSA?</p><p>At VERSA, you'll work alongside experts delivering innovative AI solutions that help federal agencies solve complex mission challenges. We invest in continuous learning, professional certifications, and opportunities to work with cutting-edge technologies, including machine learning, generative AI, cloud platforms, and advanced analytics.</p><p>Equal Employment Opportunity</p><p>VERSA Integrated Solutions is an Equal Opportunity Employer. We are committed to creating an inclusive workplace where all employees are respected, valued, and empowered to succeed. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other status protected by applicable law.</p><p>Pay: $118,467.98 - $142,671.13 per year</p><p>Benefits:</p><ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Health insurance</li><li>Paid time off</li><li>Retirement plan</li></ul><p>Work Location: Hybrid remote in Washington, DC 20591</p>

Software Engineer - Data, AI/ML & Analytics

hatch IT

<div><p>hatch I.T. is partnering with Expression to find an<b> AI/ML Engineer</b>. See details below:</p>
<p><b>
About The Role:</b></p>
<p>
Expression is seeking an experienced AI/ML Engineer to design, optimize, and evaluate machine learning capabilities that operate efficiently on heterogeneous edge computing platforms. Working closely with software engineers, you will develop AI pipelines that enable intelligent signal characterization, data prioritization, distributed inference, and decision support while operating within constrained compute, bandwidth, and communications environments.</p>
<p>
The ideal candidate has strong expertise in applied machine learning, modern LLM technologies, edge AI optimization, and production deployment of AI systems.</p>
<p><b>
Security Clearance</b>: Eligible to obtain Secret or Top Secret Clearance (U.S citizenship required)</p>
<p><b>
About the Company:</b></p>
<p>
Founded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, software engineering, information technology, and electromagnetic spectrum management solutions to the U.S. Department of Defense, Department of State, and national security community. Expression&rsquo;s &ldquo;Perpetual Innovation&rdquo; culture focuses on creating immediate and sustainable value for their clients via agile delivery of tailored solutions built through constant engagement with their clients. Expression was ranked #1 on the Washington Technology 2018's Fast 50 list of fastest growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.</p>
<h3 class="jobSectionHeader"><b>
Responsibilities:</b></h3><div>
<ul><li>Design and implement AI capabilities supporting intelligent data characterization, classification, prioritization, and decision support.</li>
<li>Evaluate, optimize, and deploy open-weight foundation models appropriate for resource-constrained edge environments.</li>
<li>Develop efficient inference pipelines supporting heterogeneous compute environments ranging from embedded processors to workstation-class systems.</li>
<li>Implement Retrieval-Augmented Generation (RAG), semantic search, and knowledge retrieval capabilities where appropriate.</li>
<li>Design AI orchestration workflows supporting distributed inference across multiple edge devices.</li>
<li>Develop evaluation methodologies for AI accuracy, latency, resource utilization, and operational performance.</li>
<li>Implement model monitoring, observability, testing, and automated evaluation frameworks.</li>
<li>Collaborate with software engineers to integrate AI models into production software platforms.</li>
<li>Optimize models using quantization, pruning, distillation deployment technologies.</li>
<li>Support experimentation involving multimodal data sources, sensor-derived features, and structured mission data.</li>
<li>Develop AI governance practices including model evaluation, explainability, responsible AI, and secure deployment.</li>
<li>Document model development, evaluation results, and technical recommendations.</li>
<li>Support customer demonstrations and prototype evaluations.</li>
</ul></div><h3 class="jobSectionHeader"><b>Qualifications:</b></h3><div>
<ul><li>Bachelor degree in Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, Applied Mathematics, or related discipline. An advanced degree is preferred.</li>
<li>5-8+ years of professional experience developing production AI or machine learning applications.</li>
<li>Strong Python programming experience.</li>
<li>Experience with PyTorch.</li>
<li>Experience deploying LLMs in production environments.</li>
<li>Experience with LangGraph, LangChain, CrewAI, Semantic Kernel, or similar orchestration frameworks.</li>
<li>Experience implementing Retrieval-Augmented Generation (RAG).</li>
<li>Experience with vector databases and semantic search.</li>
<li>Experience deploying AI models on edge or resource-constrained devices.</li>
<li>Experience with model optimization techniques including quantization, model compression, or inference acceleration.</li>
<li>Experience designing evaluation frameworks for AI systems.</li>
<li>Experience with Docker and cloud-native AI deployment.</li>
<li>Excellent communication and collaboration skills.</li>
</ul></div><h3 class="jobSectionHeader"><b>Preferred Qualifications:
</b></h3><div><ul><li>Experience applying AI to sensor analytics, time-series data, or signal processing.</li>
<li>Experience with software-defined radio data, RF analytics, or geospatial data analytics.</li>
<li>Experience developing multimodal AI applications.</li>
<li>Experience deploying AI across distributed edge computing environments..</li>
<li>Experience supporting DoD, Intelligence Community, or Federal customers.</li>
<li>Experience working in bandwidth-constrained or disconnected operational environments.</li>
<li>Experience supporting National Security or Federal Civilian customers.</li>
</ul>
</div><div><div><p><b>Benefits:</b></p>
<p>
Expression offers competitive salaries and benefits, such as:</p>
<ul>
<li>401k matching</li>
<li>PPO and HDHP medical/dental/vision insurance</li>
<li>Education reimbursement up to $10,000/yr</li>
<li>Complimentary life insurance</li>
<li>Generous PTO and 11 days of holiday leave</li>
<li>Onsite gym facility and trainer</li>
<li>Commuter Benefits Plan</li>
<li>In-office Cold Brew Coffee</li>
</ul>
</div></div><p>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

AI/ML Engineer

Shield AI

<div><div><div>Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI&rsquo;s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.</div><div></div><h3 class="jobSectionHeader"><b><br>
Job Description:</b></h3>
<div>
<p>As a Software Engineer on the HMS Factory Team, you will develop, implement, and maintain the automated testing frameworks, log analysis tools, and scenario-generation scripts built on top of the Hivemind Platform (HMP) SDK. Your work is highly technical and hands-on, directly enabling hundreds of autonomy and systems developers to rapidly verify AI Pilot behaviors across our expansive portfolio set. In this role, you will navigate complex environment boundaries between secure GovCloud and commercial ecosystems, tackling deep build-system challenges such as dependency migrations and establishing reliable artifact and source-mirroring pipelines across isolated networks.</p>
<p>
You will write python-based analytics libraries, build custom wrappers around the HMP Forge test orchestrator, and programmatically generate complex testing environments using domain randomization. You will also participate in the hands-on prototyping and deployment of new distributed testing technologies like on top of the Forge Server to support massive batch-testing runs. Additionally, you will serve as a critical technical bridge, translating raw simulation telemetry into structured, high-fidelity insights while keeping mainline branches unified and stable in the face of varying program upgrade cadences.</p>
</div></div>
<div><div><h3 class="jobSectionHeader"><b>What you'll do:</b></h3><div><div><div>
<ul><li>Write, optimize, and maintain advanced Python-based data analysis pipelines and custom analyzers (such as the Shared Analysis Tool) to parse simulation runs, extract log data, and calculate mission performance metrics.</li>
<li>Develop, debug, and maintain custom C++ or Python adapters and automated test orchestration wrappers around core HM Forge to satisfy program-specific validation requirements.</li>
<li>Implement programmatic scenario-generation pipelines and write domain-randomization scripts to systematically test autonomy behaviors under highly varied environmental conditions.</li>
<li>Analyze simulation log files, rosbags, and network captures to isolate, reproduce, and debug autonomy software defects or simulator failures.</li>
<li>Build, test, and write Terraform or Kubernetes configuration files to prototype and deploy distributed orchestration templates on top of the Forge Server.</li>
<li>Write reusable, clear step-by-step developer guides, API documentation, and workspace templates to help program engineers implement automated simulation tests.</li>
<li>Design and evolve common telemetry ingestion, analysis, and reporting frameworks that enable consistent performance evaluation across HMS programs.</li>
</ul></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Required qualifications:</b></h3><div><div><div>
<ul><li>Typically requires a Bachelor's degree in Computer Science, Computer Engineering, Aerospace Engineering, Systems Engineering, or related technical discipline, or equivalent practical experience.</li>
<li>Strong software development background in Python, particularly for data analysis, scripting, and automation tooling (utilizing libraries like NumPy, Pandas, or similar).</li>
<li>Hands-on experience with automated test orchestration, CI/CD, simulation environments, and container-based architectures (Docker, Kubernetes).</li>
<li>Solid software engineering fundamentals, including version control (Git), automated testing, and disciplined debugging practices in a Linux environment.</li>
<li>Familiarity with distributed compute frameworks or container orchestration tools is highly preferred.</li>
<li>Strong technical problem-solving skills, with the ability to troubleshoot complex, asynchronous software systems.</li>
<li>Ability to obtain and maintain an active U.S. SECRET security clearance (U.S. citizenship required).</li>
</ul></div></div></div></div></div><div><div>$150,000 - $220,000 a year</div></div>
<div><div>#LI-LD1</div>
<div>#LD</div><div></div><div><br>
Full-time regular employee offer package:</div>
<div>Pay within range listed + Bonus + Benefits + Equity</div>
<div></div>
<div>Temporary employee offer package:</div>
<div>Pay within range listed above + temporary benefits package (applicable after 60 days of employment)</div>
<div></div>
<div>Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.</div>
<div></div>
<div>###</div>
<div></div>
<div>Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.</div></div>
<div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div></div></div>

Staff Engineer, HMS Factory (R5276)

<p>Position: Data Engineer</p><p>Department: Federal Programs</p><p>Location: Washington, DC Metro Area (Hybrid/Onsite based on customer requirements)</p><p>Employment Type: Full-Time</p><p>Salary: Commensurate with Experience</p><p>About VERSA Integrated Solutions</p><p>VERSA Integrated Solutions delivers innovative Cloud, Data, Artificial Intelligence, Cybersecurity, and Enterprise IT solutions to Federal Government agencies. We help agencies modernize mission-critical systems by implementing secure, scalable, cloud-native technologies that enable advanced analytics, operational excellence, and data-driven decision making.</p><p>Position Summary</p><p>VERSA Integrated Solutions is seeking a highly motivated Data Engineer to design, build, optimize, and maintain enterprise data platforms supporting Federal Government customers. The Data Engineer develops robust ETL/ELT pipelines, cloud-based data integration solutions, and enterprise data repositories that support business intelligence, artificial intelligence, reporting, and operational analytics.</p><p>The successful candidate will collaborate closely with Data Architects, AI/ML Engineers, Database Administrators, Software Developers, Cloud Engineers, and Business Analysts to ensure high-quality, secure, and scalable data solutions.</p><p>Position Objectives</p><p>The Data Engineer will:</p><ul><li>Design enterprise data pipelines.&bull; Integrate structured and unstructured data sources.&bull; Support cloud data modernization initiatives.&bull; Improve enterprise data quality.&bull; Enable analytics and AI initiatives.&bull; Automate data processing workflows.</li></ul><p>Major Duties &amp; Responsibilities</p><p>Data Pipeline Development</p><ul><li>Design, develop, and maintain scalable ETL/ELT pipelines.&bull; Integrate internal and external data sources.&bull; Automate ingestion, transformation, and validation processes.&bull; Optimize data movement across enterprise platforms.&bull; Monitor pipeline performance and reliability.</li></ul><p>Cloud Data Engineering</p><p>Support enterprise cloud platforms including:</p><ul><li>Azure Data Factory&bull; Azure Synapse Analytics&bull; Azure Data Lake&bull; Microsoft Fabric&bull; AWS Glue&bull; AWS Redshift&bull; Databricks</li></ul><p>Develop cloud-native data integration solutions supporting modernization initiatives.</p><p>Data Integration</p><ul><li>Develop APIs supporting enterprise integrations.&bull; Process structured, semi-structured, and unstructured data.&bull; Build real-time and batch processing solutions.&bull; Support streaming technologies such as Apache Kafka and Azure Event Hub.</li></ul><p>Data Quality</p><ul><li>Validate incoming datasets.&bull; Develop automated quality checks.&bull; Monitor completeness and accuracy.&bull; Resolve data anomalies.&bull; Implement data lineage and audit capabilities.</li></ul><p>Analytics Support</p><p>Provide data services supporting:</p><ul><li>Power BI&bull; Tableau&bull; AI/ML models&bull; Executive dashboards&bull; Predictive analytics&bull; Operational reporting</li></ul><p>DevSecOps</p><p>Collaborate with engineering teams to:</p><ul><li>Automate deployments&bull; Implement Infrastructure as Code&bull; Support CI/CD pipelines&bull; Improve monitoring and observability&bull; Secure enterprise data environments</li></ul><p>Required Technical Skills</p><p>Languages</p><ul><li>Python&bull; SQL&bull; Spark&bull; PySpark&bull; PowerShell</li></ul><p>Cloud</p><ul><li>Azure&bull; Azure Data Factory&bull; Azure Synapse&bull; Azure SQL&bull; Azure Storage&bull; Microsoft Fabric</li></ul><p>Databases</p><ul><li>SQL Server&bull; PostgreSQL&bull; Oracle&bull; Snowflake&bull; Databricks</li></ul><p>Tools</p><ul><li>Git&bull; GitHub&bull; Azure DevOps&bull; Terraform&bull; Docker&bull; Kubernetes</li></ul><p>Preferred Skills</p><ul><li>Apache Kafka&bull; Azure Event Hub&bull; REST APIs&bull; JSON/XML&bull; Delta Lake&bull; Data Lakehouse Architecture&bull; AI data preparation&bull; MLOps</li></ul><p>Education</p><p>Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, Mathematics, or a related discipline.</p><p>Experience Levels</p><p>Junior (0&ndash;4 Years)</p><ul><li>SQL development&bull; Python programming&bull; ETL fundamentals&bull; Database experience</li></ul><p>Intermediate (5&ndash;9 Years)</p><ul><li>Cloud data engineering&bull; Azure or AWS experience&bull; Production ETL development&bull; API integration</li></ul><p>Senior (10&ndash;14 Years)</p><ul><li>Enterprise cloud modernization&bull; Data platform leadership&bull; Performance optimization&bull; Mentoring junior engineers</li></ul><p>SME (15+ Years)</p><ul><li>Enterprise Data Engineering strategy&bull; Federal modernization leadership&bull; AI-enabled data platforms&bull; Large-scale cloud migration</li></ul><p>Preferred Certifications</p><ul><li>Microsoft Certified: Azure Data Engineer Associate&bull; Databricks Certified Data Engineer&bull; AWS Certified Data Engineer&bull; SnowPro Core&bull; ITIL&reg; Foundation</li></ul><p>Desired Federal Experience</p><p>Experience supporting NIH, CMS, Census Bureau, Commerce, DHS, DOD, or other Federal agencies is highly desirable.</p><p>Security Clearance</p><p>Ability to obtain and maintain a Public Trust or higher clearance, depending on customer requirements.</p><p>Why Join VERSA?</p><p>Join a team building modern data platforms that enable Federal agencies to leverage artificial intelligence, cloud computing, and enterprise analytics to accomplish mission objectives.</p><p>Equal Employment Opportunity</p><p>VERSA Integrated Solutions is an Equal Opportunity Employer committed to diversity, inclusion, and equal opportunity for all qualified applicants.</p><p>Pay: $120,000.00 - $150,000.00 per year</p><p>Benefits:</p><ul><li>401(k) matching</li><li>Health insurance</li><li>Life insurance</li><li>Paid time off</li><li>Vision insurance</li></ul><p>Work Location: Hybrid remote in Washington, DC 20591</p>

Data Engineer

BOAB Ventures

<div>
 Sr. Network Engineer III Washington, DC (100% onsite)
 <br/>
 <br/>
 Clearance: Top Secret
 <br/>
 <br/>
 Certifications Required: CCNP The Sr. Network Engineer III provides senior-level engineering support for mission-critical enterprise networks. This position is responsible for designing, implementing, and maintaining secure, reliable, and scalable network solutions that support organizational objectives and ensure optimal performance and availability.
 <br/>
 <br/>
 We know that you can&rsquo;t have great technology services without amazing people. We are obsessed with our people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers.
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below! What you&rsquo;ll do:
 <br/>
 <br/>
 <ul>
  <li>
   Design, implement, and troubleshoot enterprise network solutions for federal government customers.
  </li>
  <li>
   Serve as a technical SME, support routing and switching technologies, resolve complex issues, contribute to Agile delivery, and provide innovative solutions that build customer trust and support mission success. What you&rsquo;ll need to succeed:
  </li>
  <li>
   An active Top Secret security clearance.
  </li>
  <li>
   10+ years of experience in network engineering with hands-on responsibility for core enterprise routing and switching infrastructure.
  </li>
  <li>
   Bachelor&rsquo;s degree in a technical field is preferred. Relevant experience may substitute for education requirements.
  </li>
  <li>
   Subject matter expertise in designing, implementing, and troubleshooting complex routing protocols, including BGP and OSPF.
  </li>
  <li>
   Experience with software-defined WAN architectures and implementations.
  </li>
  <li>
   Experience with Peplink products.
  </li>
  <li>
   Proven experience supporting enterprise switching environments, including VLANs, STP, and related Layer 2 technologies.
  </li>
  <li>
   Experience managing and maintaining high-availability, high-performance network backbones in mission-critical environments.
  </li>
  <li>
   Hands-on experience with Cisco ASR, ISR, Catalyst, and Nexus platforms.
  </li>
  <li>
   Explicit experience performing network traffic analysis.
  </li>
  <li>
   Ability to contribute immediately with minimal ramp-up in a mission-critical operational environment.
  </li>
  <li>
   Required technical certifications include CCNP Enterprise The salary range for this position is determined based on qualifications, skills, and relevant experience. The final salary offered will be determined based on several factors including:
  </li>
  <li>
   The candidate's professional background and relevant work experience
  </li>
  <li>
   The specific responsibilities of the role and organizational needs
  </li>
  <li>
   Internal equity and alignment with current team compensation
  </li>
  <li>
   This role is also eligible for additional compensation, subject to the terms and policies, which may include:
  </li>
  <li>
   Performance-based bonuses
  </li>
  <li>
   Company-paid training and/or certifications
  </li>
 </ul>
</div>


Sr. Network Engineer with Security Clearance

ITC Federal

<div>Overview:
<p><b>
Senior Network Engineer (Cisco/Juniper)</b></p><p><i>
Top Secret Clearance Required | 100% Onsite &mdash; Washington, DC</i></p><p><b>
Government Agency: </b>U.S. Department of Justice, National Security Division (DOJ NSD)</p><p><b>
Position Type: </b>Full-Time, Government Contractor Support</p><p><b>
Location: </b>100% Onsite &mdash; Washington, DC (no remote or hybrid option for this role)</p><p><b>
Clearance: </b>Active Top Secret required, with the ability to obtain a DOJ Sensitive Compartmented Information (SCI) eligibility</p><p><b>
Benefits: </b>Medical, dental, and vision coverage; 401(k); Flexible Spending Account (FSA); 11 paid federal holidays; PTO; education reimbursement</p><p><b>
About ITC Federal</b></p><p>
ITC Federal, LLC (ITC) connects technology advancements in automation and AI, customer experience, and financial services to solve government mission challenges, enabling smoother operational efficiency and bolstering national security. We leverage the latest technology innovations and proven approaches to better serve the mission and support the DHS, DOJ, and DoW workforce, customers, and programs, regardless of scale or complexity. ITC is located in Fairfax, VA and offers outstanding compensation and benefits plan and a challenging and rewarding professional work environment.</p><p><b>
Mission Overview</b></p><p>
The National Security Division (NSD) carries out the Department of Justice's highest priority: combating terrorism and other threats to national security. NSD's Infrastructure Support and Software Development Services division delivers the full range of IT services required to sustain NSD's infrastructure and operations, including network engineering, software development, systems engineering, and service desk support. The Senior Network Engineer plays a direct role in keeping this mission-critical infrastructure secure, available, and performing at the standard a national security environment demands.</p><p><b>
Position Summary</b></p><p>
The Senior Network Engineer is responsible for the design, administration, and sustained operation of NSD's wide area and local area network infrastructure. This is a hands-on engineering role that combines day-to-day operational support with higher-level responsibilities such as evaluating the impact of proposed network changes, troubleshooting complex connectivity and performance issues, and ensuring the network environment remains compliant with DoD Security Technical Implementation Guide (STIG) standards.</p>
Responsibilities:
<div><b>
Responsibilities</b></div><ul><li><b>
Network administration and support &mdash; </b>Administer, support, and maintain enterprise network capabilities across wide area and local area networks, ensuring consistent uptime and performance for a high-security mission environment.</li><li><b>
Operations and sustainment &mdash; </b>Perform day-to-day network operations and support activities, including monitoring, configuration management, and routine maintenance of routing and switching infrastructure.</li><li><b>
Change impact evaluation &mdash; </b>Evaluate proposed network changes for operational impact prior to implementation, identifying risks to availability, security, or performance and recommending mitigations.</li><li><b>
Performance and connectivity troubleshooting &mdash; </b>Evaluate network performance trends and resolve network and connectivity problems, applying structured troubleshooting methodology across Layer 1 through Layer 3.</li><li><b>
LAN performance management &mdash; </b>Manage local area network performance and proactively troubleshoot degradations before they affect end users or mission systems.</li><li><b>
Security compliance &mdash; </b>Maintain network infrastructure configurations in accordance with applicable STIG guidelines, supporting the organization's continuous compliance and audit readiness posture.</li><li><b>
Cross-functional support &mdash; </b>Partner with applications programmers and engineering staff working within the networking environment to ensure infrastructure changes align with application and system requirements.</li><li><b>
Documentation and reporting &mdash; </b>Maintain accurate, up-to-date records of network configurations, changes, and incidents using Excel-based tracking tools and other documentation standards required by the program.</li></ul>
Qualifications:
<p><b>
Required Qualifications</b></p><ul><li><b>
10+ years </b>of progressive Network Administration/Engineering experience, including direct responsibility for enterprise-scale routing, switching, and security infrastructure in a production environment.</li><li><b>
Demonstrated, hands-on professional experience with Cisco and Juniper </b>technologies, including configuration, troubleshooting, and lifecycle management of routers, switches, and firewalls in an operational network.</li><li><b>
Hardware and platform experience </b>with some combination of the following (not all required):</li><li>
Cisco routers: 2500, 2600, 3600, 3800, 4500, 9200, 9300, and 1200 series</li><li>
Cisco Catalyst switches: 2900, 3500, 3700, 4500, 5500, 6500 series</li><li>
Cisco Nexus switches (1000V, 2000, 5000, 7000), ASA 5500 series, Firepower Threat Defense (FTD), Cisco ACS, and ASR 1004 routers</li><li>
Juniper routers, switches, and firewalls (SRX and EX series)</li><li><b>
Strong working knowledge of core network protocols and technologies, </b>including OSPF, BGP, IS-IS, RIP, IGRP/EIGRP, IPv6, HSRP, VRRP, AAA, TACACS, RADIUS, ACL, IPSec, GRE, PPTP, PPP, HDLC, ISL, 802.1Q, and 802.1X &mdash; with the ability to apply this knowledge to real-world design and troubleshooting scenarios, not just textbook familiarity.</li><li><b>
Solid grounding in Layer 1 and Layer 2 troubleshooting and technologies, </b>with the ability to isolate physical-layer and data-link-layer issues quickly in a live operational environment.</li><li><b>
Ability to work 100% onsite in Washington, DC. </b>This position does not support remote or hybrid work; candidates must be able to report to the DOJ NSD facility in Washington, DC on a daily basis.</li></ul><p><b>
Desired Qualifications</b></p><ul><li><b>
Cisco certifications </b>such as CCNA or CCNP, demonstrating formal validation of routing, switching, and network engineering competencies.</li></ul><p><b>
Education Requirements</b></p><ul><li>
Bachelor's degree preferred; equivalent additional professional experience (2+ years beyond the required experience above) may be substituted in lieu of a degree.</li></ul><p><b>
Security Clearance Requirements</b></p><ul><li>
Active Top Secret clearance required, with the ability to obtain DOJ Sensitive Compartmented Information (SCI) eligibility.</li></ul><p><b>
Work Environment and Physical Demands</b></p><p>
This position is performed 100% onsite at the DOJ NSD facility in Washington, DC, in a general office environment. Candidates must be able to function effectively in a standard office setting on a full-time, in-person basis.</p><p><b>
Equal Opportunity Employer</b></p><p>
ITC Federal is an equal opportunity employer and will not discriminate against any applicant for employment on the basis of age, race, color, gender, national origin, religion, creed, disability, veteran status, marital status, sexual orientation, genetic information, military status, disability, or sex including pregnancy and childbirth or related medical condition, or on any other basis prohibited by law.</p></div>

Senior Network Engineer (Cisco/Juniper)

Humana

<div><h1 class="jobSectionHeader"><b>Become a part of our caring community</b><br>
</h1>
The Lead Cloud Solutions Engineer provides senior-level solutions engineering leadership for Humana's cloud-based CCaaS platforms, including Genesys Cloud and Google CX Agent Studio. This role drives implementation, integration, migration, and modernization efforts, including the Nuance Migration Project, by translating business needs into secure, scalable, and reliable technical solutions.<br>
The role partners across product, engineering, operations, architecture, security, compliance, and vendor teams. This partnership delivers cloud-enabled contact center capabilities aligned with Humana's modernization standards, approved design patterns, and operational expectations.This position represents a senior technical leadership role combining deep hands-on engineering expertise, architecture ownership, and cross-functional leadership. The Lead Cloud Engineer sets technical direction, defines standards, and ensures successful delivery of scalable, secure, and high-performing cloud-based customer experience platforms. The role handles highly complex challenges, influences enterprise technology strategy, and operates with broad autonomy.<p></p><p>
The Lead Cloud Solutions Engineer is a senior hands-on technology leader within Humana's Customer Experience Center Platform ecosystem. This leader is focused on delivering practical, scalable, and secure cloud-based solutions across platforms such as Genesys Cloud and Google CX Agent Studio.</p><p>
This role partners closely with product teams, engineering teams, operations, enterprise architecture, and vendor partners to translate business needs into effective technical solutions. The Lead Cloud Solutions Engineer drives solution design, implementation planning, platform integration, automation, and delivery execution while ensuring alignment with enterprise standards for security, reliability, compliance, and performance.</p><p>
The role emphasizes <b>solutions engineering, hands-on technical leadership, platform enablement, and delivery outcomes</b> rather than enterprise architecture ownership. The Lead serves as a technical problem-solver and engineering advisor, helping teams modernize contact center capabilities, improve customer and associate experiences, and maximize the value of Humana's cloud-based CCaaS investments.</p><p></p><h3 class="jobSectionHeader"><b>
Primary Responsibilities</b></h3><ul><li>
Lead solutions engineering and technical delivery for Humana's cloud-based <b>Contact Center as a Service</b> platforms, including <b>Genesys Cloud</b>, <b>Google CX Agent Studio / Dialogflow CX</b>, and related GCP services.</li><li>
Translate business, product, and operational requirements into secure, scalable, and supportable technical solutions.</li><li>
Provide hands-on technical guidance for platform configuration, application integration, API enablement, automation, testing, deployment readiness, troubleshooting, and production stabilization.</li><li>
Support major modernization and migration initiatives, including legacy platform exits and the <b>Nuance migration</b>, by driving technical execution and removing delivery blockers.</li><li>
Partner with product, software engineering, cloud engineering, operations, enterprise architecture, security, compliance, and vendor teams to deliver high-quality CCaaS and conversational AI capabilities.</li><li>
Lead implementation of omnichannel customer engagement solutions, including voice, chat, routing, authentication, virtual agents, automation, reporting, and analytics.</li><li>
Promote reusable engineering patterns, implementation standards, documentation, and operational best practices.</li><li>
Evaluate and pilot emerging capabilities in conversational AI, cloud-native platforms, analytics, and automation to improve customer and associate experiences.</li><li>
Ensure delivered solutions meet enterprise expectations for security, compliance, reliability, scalability, observability, performance, and cost efficiency.</li><li>
Serve as a senior technical advisor and escalation point for complex platform, integration, and production issues.</li><li>
Mentor engineers and contribute to a collaborative engineering culture focused on delivery quality, operational stability, and continuous improvement.</li></ul><h1 class="jobSectionHeader"><br>
<b>
Use your skills to make an impact
</b><br>
</h1><h3 class="jobSectionHeader"><b>Required Qualifications</b></h3><ul><li>
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.</li><li>
10+ years of experience delivering complex software, cloud, SaaS, or platform-based technology solutions.</li><li>
Experience leading technical delivery for cloud, SaaS, CCaaS, customer experience, or enterprise integration platforms.</li><li>
Hands-on experience with solution implementation, application integration, APIs, cloud services, automation, testing, troubleshooting, and production support.</li><li>
Experience working with cross-functional teams, including product, engineering, operations, architecture, security, compliance, and vendor partners.</li><li>
Strong analytical, problem-solving, communication, and technical leadership skills.</li><li>
Ability to guide engineering teams, influence technical decisions, and drive delivery outcomes in a matrixed environment.</li><li>
Commitment to improving customer, member, and associate experiences through reliable and modern technology solutions.</li></ul><p></p><h2 class="jobSectionHeader"><b>
Preferred Qualifications</b></h2><ul><li>
Experience with CCaaS platforms such as <b>Genesys Cloud</b>, <b>NICE</b>, <b>Five9</b>, <b>Amazon Connect</b>, or similar customer engagement platforms.</li><li>
Experience with <b>Google CX Agent Studio</b>, <b>Dialogflow CX</b>, <b>Vertex AI</b>, <b>BigQuery</b>, <b>Cloud Run</b>, <b>GKE</b>, or other GCP services.</li><li>
Experience delivering conversational AI, IVR, virtual agent, speech recognition, routing, chat, messaging, or contact center automation solutions.</li><li>
Experience integrating CCaaS platforms with enterprise systems such as <b>Salesforce</b>, <b>ServiceNow</b>, <b>Microsoft Dynamics</b>, identity providers, data platforms, and API gateways.</li><li>
Experience with cloud migration, platform modernization, vendor transition, or legacy platform retirement initiatives.</li><li>
Understanding of cloud security, IAM, networking, monitoring, logging, cost optimization, and operational support practices.</li><li>
Experience with Agile, SAFe, or hybrid delivery models.</li><li>
Experience creating technical documentation, implementation patterns, operational runbooks, and engineering best practices.</li><li>
Healthcare or regulated industry experience preferred.</li></ul><p></p><h3 class="jobSectionHeader"><b>
Google Cloud Platform (GCP) &amp; Conversational AI &ndash; Preferred Skills</b></h3><ul><li>
Hands-on experience with <b>Google Cloud Platform</b> services for customer experience, contact center, conversational AI, or enterprise integration use cases.</li><li>
Experience with <b>Google CX Agent Studio</b> or <b>Dialogflow CX</b>, including agent design, conversation flows, intents, entities, fulfillment, integrations, and environment management.</li><li>
Experience with <b>Vertex AI</b> or other AI/ML capabilities for customer experience use cases, including model consumption, prompt-based solutions, inference, and AI-enabled automation.</li><li>
Experience using <b>BigQuery</b> for reporting, analytics, operational insights, conversation analysis, or large-scale data processing.</li><li>
Experience with <b>Cloud Run</b>, <b>Google Kubernetes Engine</b>, <b>Compute Engine</b>, or similar services for scalable application and integration deployments.</li><li>
Understanding of GCP security and operational practices, including <b>IAM</b>, service accounts, networking, logging, monitoring, alerting, and cost management.</li><li>
Experience integrating GCP services with CCaaS platforms, APIs, webhooks, event streams, enterprise applications, data platforms, and identity services.</li><li>
Exposure to speech recognition, text-to-speech, natural language processing, conversation analytics, sentiment analysis, and AI-driven contact center insights.</li><li>
Experience implementing observability, logging, monitoring, and troubleshooting practices for cloud-based conversational AI and contact center solutions.</li></ul><p><b>
Additional Information</b></p><p></p><p><b>
Work-At-Home Requirements</b></p><ul><li>
WAH requirements: Must have the ability to provide a high speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.</li><li>
A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.</li><li>
Satellite and Wireless Internet service is NOT allowed for this role.</li><li>
A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information</li></ul><p></p>
Work at Home Requirements To ensure Home or Hybrid Home/Office employees&rsquo; ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested. In certain roles, the minimum recommended internet speed required by Humana may not be sufficient for business needs. Humana reserves the right to require associates to upgrade their internet service if necessary. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information. Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.<p></p><p><b><br>
Scheduled Weekly Hours</b></p><p></p>
40<p></p><p><b>
Pay Range</b></p>
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.<br>
<p></p>
$129,300 - $177,800 per year<br>
<p></p>
This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.<p></p><p><b>
Description of Benefits</b></p>
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.<p></p><h1 class="jobSectionHeader"><b><br>
About us</b><br>
</h1>
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.<p></p><p><br>
<br>
<b>Equal Opportunity Employer</b></p><p></p><p>
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.</p></div>

Lead Cloud Engineer - Contact Center Technology

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