Principal engineer jobs in Leesburg, VA - 6,319 jobs

Saalex is seeking a Senior Principal Safety Engineers in Bethesda, MD to support NSWC Carderock's requirements for engineering, IT, and technical support for data analysis, software development and modifications, control system development, IT and Information assurance (IA). The work performed will be in support of various projects related to surface ships, submarines, boats and combatant craft, air vehicles, other vehicles going through air and/or water, associated trainers and simulators from any of the above, and IT infrastructure. Senior Principal Safety Engineer provides software and system safety analysis, risk assessment, and safety verification in accordance with DoD policies and procedures. Responsibilities include but not limited to preparation of system/software safety requirements and verification, execution of system/software safety analyses, safety analysis reports, development of software documentation, and planning and performance of software quality evaluation throughout the software development cycle. Position Type: Full-Time Salary:$140k - $206k annually (depending on experience) Work Location:Onsite. Candidates are required to work onsite full-time in Bethesda, MD. Required: Bachelor's Degree from an accredited institution in Computer Science, Software or IT discipline, Engineering, or Mathematics. Desired: Fifteen (15) years of experience with software and system safety analysis, risk assessment, and safety verification in accordance with the requirements of MIL-STD-882E and the Department of Defense (DOD) Joint Software System Safety Engineering Handbook (JSSSEH) on a variety of systems and producing documentation of analysis results. The fifteen (15) years of experience shall include experience in all of the following: Preparation of system/software safety requirements and verification requirements, execution of system/software safety analyses, safety analysis reports and data packages/preparation material for safety review panels (such as Weapons System Evaluation Review Board (WSERBs) and Technical Review Panel (TRP)), preparation of System Safety Program Plans (SSPPs) and System Safety Management Plans (SSMPs), Fly-By-Wire (FBW) Audits, preparation of Safety Assessment Reports (SAR), analysis and assessment of Engineering Change Proposals (ECPs), Software Trouble Reports (STRs), and Software Change Notices (SCNs and development of safety test plans and review of safety test documentation. Development of software documentation that includes preparation of Software Development Plans (SDPs), Software Requirement Specifications (SRSs), Software Configuration. Management Plans (SCMPs), Software Detailed Design Documents (SDDDs), and Interface Design Documents (IDDs); and experience in the planning and performance of software quality evaluation throughout the software development cycle. Providing safety reviews of development and design documentation, as well as hazard analyses for Lithium-Ion battery systems such as the Critical Battery Management System (CBMS). Security Clearance: Active Secret clearance required. Requirements to obtain a clearance include US Citizenship, security investigation, etc. Education/Experience: Bachelor's Degree from an accredited institution in Computer Science, Software or IT discipline, Engineering, or Mathematics. Competitive Compensation: We offer a highly competitive salary package to attract and retain top talent in the industry. Our compensation structure is designed to reward exceptional performance and provide financial stability. Comprehensive Health Coverage: We provide a comprehensive health insurance plan that covers medical, dental, and vision expenses. Our goal is to ensure that our employees have access to quality healthcare and can take care of their well-being. Retirement Savings: We offer a robust retirement savings program, including a 401(k) plan, to help our employees plan for their future. We provide matching contributions to help accelerate their savings and build a solid financial foundation. Work-Life Balance: We believe in the importance of work-life balance and understand that our employees have personal commitments and responsibilities. We offer generous paid time off to support our employees in maintaining a healthy work-life integration. Professional Development: We are committed to the growth and development of our employees. We provide various opportunities for professional development, including training programs, and tuition reimbursement, to help them expand their skills and advance in their careers. Recognition and Rewards: We value the contributions of our employees and believe in recognizing their achievements. We have a robust recognition program in place, including employee appreciation events, and employee recognition awards, to acknowledge and reward exceptional work. Positive and Inclusive Work Environment: We foster a positive and inclusive work environment where diversity is valued, and employees feel respected and empowered. We promote collaboration, open communication, and teamwork to create a supportive atmosphere that enables everyone to thrive. Saalex Solutions, a division of Saalex Corp., is an Engineering and Information Technology Services company with a focus on Test Range Operations and Management, Engineering and Logistics Services, Data Analytics and Business Intelligence Services and Information Technology Services. Founded in 1999 by Travis Mack, Saalex Solutions is a Service Disabled Veteran-Owned and Operated business with prime and subcontract expertise serving the Navy, Army, Air Force, NASA, corporate clients, and local governments. We employ a workforce of over 600 at military and NASA installations nationwide and have offices in Camarillo CA, Rockledge FL, Newport RI, Ridgecrest CA, Corona CA and Keyport WA. Equal Opportunity Employer/Veterans/Disabled Pay Transparency Nondiscriminatory Provision #J-18808-Ljbffr

JOB DESCRIPTION: The Cloud Solutions Network Engineer is part of the Cloud Center of Excellence (CCOE) and responsible for delivering on the transport solutions that will align the use of cloud services technologies to the published product roadmap. The Cloud Solutions Network Engineer will partner with cross functional teams to deliver integrations and patterns across the defined product line for deployment teams to consume DTCC cloud platform in AWS to meet critical technology and business requirements. A key responsibility is to influence roadmaps, create best practices, automate and deliver on networking requirements within the cloud platform while cultivating an enterprise technical strategy for cloud networking. Responsibilities Provide experienced leadership in developing the solutions for highly scalable, highly available, Cloud (IaaS, PaaS, SaaS) patterns and platform integrations Product ownership of secure and scalable cloud network services for self-service by business aligned delivery teams Facilitate meetings with business partners and technologies teams to build consensus and creating solution decisions without compromising delivery and/or service Work with enterprise network team to create cloud network standards, identify and mitigate risks with technology, and help drive solutions for the enterprise. Develop, maintain, and evolve cloud networking automation as part of the cloud platform deployment. Create, modify, and adapt cloud network solutions to keep the organization aligned between the business requirements and technology capabilities. Provide standards and platform(s) for future application development and help develop team members to utilize the technologies Provide insight into best practices with automation, system communication, transit standards, application network dependencies, throughput capacity capabilities and tuning, within network management on AWS Align existing application portfolio to cloud standards and services Be a highly motivated and active technology leader within multiple work streams and manage deliveries accordingly across multiple projects Review and evaluate new technologies that could be beneficial to the enterprise Ability to analyze problems, define solutions, and articulate those in a clear discernible manner. Connect with all levels of the organization, senior leadership to professional staff Keeps abreast of business, operational, and technology trends that may affect the portfolio and strategy Qualifications 10+ years of Engineer, design, and implementation of highly scalable, highly available infrastructure, solutions and services 5+ years of experience with Cloud (IaaS, PaaS, SaaS) services and solutions. AWS Certified Solutions Engineer, CCSK, TOGAF, SOA, and ITIL Demonstrated experience in working with cloud-based technologies (Amazon Web Services & Azure) in an enterprise computing environment. Experience with Infrastructure automation technologies (Terraform, Git) Experience managing security groups, NACLs, transit gateways, direct connections, firewalls, DNS, and network security tooling Understanding of Software Development Lifecycle Methodologies and delivery processes (Agile, Scrum, Kanban) In depth knowledge of application development including application servers, middleware, systems management, monitoring, configuration management, capacity planning and performance tuning, highly availability architectures. Proven DevOps expertise including automation and continuous delivery model Consistent track record for solution design and implementation of scalable, reliable, and high-performance application and database #J-18808-Ljbffr

ABOUT ROCKET MONEY Rocket Money's mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money - ultimately giving them a leg up on their financial journey. ABOUT THE TEAM Machine Learning Engineers at Rocket Money further our mission by building products that deepen customer relationships with our many financial products. Our work ranges from transaction enrichment to personalization to cross-functional tools that support various AI product initiatives. We work closely with product teams to develop features that help customers understand, track, and improve their personal finances. We have a strong preference for team players that are comfortable collaborating across teams, know how to support strategy with ML and AI powered user experiences, can deliver scalable and high quality user experiences, and understand the effects of their products on end users. At the Staff level, Machine Learning Engineers are expected to build broad expertise into our products and the ML solutions that power them as well as drive technical progress for the team. ABOUT THE ROLE As a Staff Machine Learning Engineer at Rocket Money, you will be at the forefront of our ML and AI product development, bringing your expertise to design, implement, and maintain sophisticated ML systems that drive our product experiences. You will : Lead the architecture and development of complex AI and ML powered features across Rocket Money's product suite, proactively identifying technical challenges before they become issues. Design, implement, and maintain robust evaluation frameworks. You ensure that ML / AI systems can be constantly improved and create frameworks so that others can do the same. Develop novel new product experiences that you are uniquely positioned to enable for users. Help Rocket Money capitalize on it's unique dataset and scale. Guide others to help generate impact through effective technical leadership and partnership with product. Own end to end development and implementation of ML and AI product features in collaboration with cross-functional product development teams. Rigorous technical critique and oversight coupled with effective communication of business impact are musts. Provide technical mentorship, fostering an environment where everyone can contribute to high-impact work. You will raise the level of everyone around you. Potential Projects Develop comprehensive evaluation and ML Ops frameworks that enable systematic assessment of model performance, supporting rapid iteration and improvement of AI / ML product features. Scale transaction metadata generation systems to billions of financial transactions in a consumer facing app. Implement AI assisted transaction management and personalization features such as personalized categories, income and rent detection, and subscription identification. Implement effective user feedback mechanisms that enable measurement of ML feature product quality and constant improvement. Architect user facing predictive features that depend on fast moving and large scale user transaction data. ABOUT YOU 8+ years of professional experience in machine learning engineering or data science roles, with a proven track record of designing and implementing ML systems at consumer tech scale and speed. Extensive hands-on experience integrating ML and AI methods into production workflows, including creating evaluation tooling and effective user feedback mechanisms to support rapid product development cycles and systematic model evaluation. Experience with prompt engineering and management, creating robust systems for testing and optimizing LLM-based applications. Expert-level proficiency in Python, SQL, and at least a handful of common ML frameworks. Working Typescript knowledge is a plus. You understand ML methods at a fundamental level - deep experience in NLP techniques is a plus. You are a master at taking ambiguous problems, creating clarity, and breaking down work into manageable chunks for implementation. You've owned the development, launch, and maintenance for several scaled ML / AI powered product experiences. You understand basic software engineering and computer science fundamentals and have applied them at consumer grade scale to build ML powered products in production environments. You are a technical leader who can identify both emergent technical opportunities and gaps relative to best practice. Your strong communication skills enable your team to capitalize on these opportunities and generate impact. You care about products and user experiences, not publications. You are a practitioner first and thrive at the (messy) intersection of the real world and cutting edge approaches. WE OFFER Health, Dental & Vision Plans Competitive Pay 401k Matching Unlimited PTO Lunch daily (in-office only) Snacks & Coffee (in-office only) Commuter benefits (in-office only) Additional information: Salary range of $210,000 - $260,000 / year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience. Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #J-18808-Ljbffr

We are seeking a highly experienced and security-minded Senior Staff Engineer - Backend & Cloud, Tech Lead to join our team in a hybrid capacity based in Seattle, WA. This role blends deep technical expertise with leadership responsibilities, requiring a strong foundation in backend development, cloud-native architecture, and infrastructure automation. The ideal candidate will lead engineering efforts while coordinating effectively with offshore teams to ensure delivery of scalable, secure, and maintainable systems. Responsibilities Participate in design, architecture and implementation of software systems solving complex problems. Includes defining, scoping and estimating stories and work artifacts. Ensure delivery of high quality, scalable, maintainable and well tested code Document designs. Provide on-call support for systems the team owns. Serve as the face of the offshore development team and stakeholders Act as the primary point of contact for Engineering Managers (EMs) and other onsite stakeholders Ensure effective communication and coordination between onsite and offshore teams Work with tech leads to align priorities, architecture decisions, and coding standards Break down epics and features into smaller technical stories for the offshore team Coordinate with other tech leads, ensuring that PR approvals follow defined processes Ensure offshore team participation in daily stand-ups and facilitate transparent status reporting Oversee delivery ownership for offshore contributions, ensuring timely and quality outcomes Manage knowledge transfer and attrition handling within the offshore team Handle issue escalation and proactively resolve blockers impacting the offshore team Provide progress updates and ensure accountability for the offshore team's commitments Qualifications 10+ years professional hands on experience delivering quality software Excellent proficiency in Java and Spring boot framework Experience with messaging technologies and streaming platforms (Kafka) Experience with RESTful architecture and micro services Proficiency with Cloud technologies (AWS, Kubernetes) GCP is a plus Must know modern infrastructure tools and pipelines (GitLab, CI/CD, Terraform) Test automation experience at all levels (Unit, Integration, Regression and Performance/Load) Familiar with logging and metrics tools (New Relic, Splunk) Should be able to articulate and architect a well-designed system Familiarity with relation databases is a plus Retail experience is a plus Understanding of modern warehouse management systems is a bonus Experience with messaging technologies and streaming platforms (Kafka) Experience with RESTful APIs, micro services and event driven architecture Proficiency with Cloud technologies (AWS, Kubernetes, Docker) GCP is a plus Must know modern infrastructure tools and pipelines (Github, GitLab, CI/CD, Terraform) Familiar with logging and telemetry tools (New Relic, Splunk, Dynatrace) Familiarity with relation databases We have a global team of amazing individuals working on highly innovative enterprise projects & products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast growth fintech, and multiple Silicon Valley startups. What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM) and ISO 14001:2015 (EMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun. People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves. To know more about Confiz Limited, visit *************************************** #J-18808-Ljbffr

About Us: SwarmInt is a defense AI startup developing cutting‑edge computer vision and edge AI capabilities for military expeditionary forces. We strive to develop operator‑in‑the‑loop solutions for warfighters with active contracts supporting the Department of Defense and Intelligence Community. Job Description: We're seeking a Senior Elasticsearch Engineer to architect and optimize search infrastructure for a large‑scale enterprise data solution supporting our Intelligence Community customer. You'll design systems that enable real‑time search and retrieval across petabytes of data to support operational intelligence analysis and decision‑making. This role requires regular on‑site work at customer facilities in Bethesda, Maryland, including work in classified facilities (SCIF). Responsibilities: Design and implement high‑performance search infrastructure for large‑scale data ingestion and retrieval Architect indexing strategies for diverse data types including time‑series, geospatial, and vector embeddings Build and optimize real‑time data pipelines for continuous index population Performance tune queries and clusters for sub‑second response times on massive datasets Integrate search capabilities with AI/ML pipelines and analytics platforms Design data retention, archival, and lifecycle management strategies Deploy and manage search infrastructure in containerized environments and on‑premises deployments Work in restricted and air‑gapped network environments Mentor engineers on search architecture and optimization techniques Collaborate across teams on data architecture and integration patterns Required Qualifications: Bachelor's degree in Computer Science, Engineering, or related field 8‑12 years experience with Elasticsearch in production environments Deep understanding of search engine internals, indexing, and query optimization Experience designing and scaling distributed search clusters Strong programming and scripting skills for automation and tooling Experience building data ingestion pipelines Proficiency with cluster monitoring and performance analysis Understanding of distributed systems and data replication Active TS/SCI with Single Scope (CI) Polygraph Required (Do not apply unless you have this) U.S. Citizenship required Ability to work on‑site in Bethesda, Maryland 2‑4 days/week including at classified facilities Preferred Qualifications: Experience with vector search and similarity queries Knowledge of OpenSearch or experience with multiple search platforms Familiarity with AI/ML workflows and embedding‑based search Experience with streaming data platforms and message queues Knowledge of data lakehouse architectures and technologies Experience with complementary data stores and caching systems Understanding of workflow orchestration tools Experience with containerization technologies (Docker) Knowledge of government data systems and security requirements (NIST 800‑171, CMMC) Experience in air‑gapped or restricted environments Experience with enterprise‑scale data solutions at petabyte scale Benefits: Competitive salary (~$200K based on experience) Annual performance bonus 401k with competitive company match Comprehensive health, dental, and vision insurance Clearance retention bonuses Work on high‑impact search problems at petabyte scale Professional development budget Collaborative startup environment with experienced technical leadership Direct impact on intelligence capabilities for national security #J-18808-Ljbffr

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM Anduril's Lattice software platform integrates together many sensors into a single cohesive view of the world, providing needed context for our users. AI Engineers on Anduril's Frontier AI team build edge-compatible, generative AI systems into the Lattice software platform to provide features and products that improve autonomy and reduce cognitive burden on the warfighter. Specific applications include but are not limited to automating mission planning, battle-space understanding, voice-control of assets, and enabling higher-levels of autonomy. WHAT YOU'LL DO Distill and fine-tune transformer architectures so they can be deployed onto edge devices or compute denied environments Propose and prototype LLM-based Agentic systems that help solve real world problems, leveraging the latest state-of-the-art techniques in the field Develop and maintain mission relevant benchmarks Work cross-functionally with different business lines across Anduril to help discover and scope new research problems REQUIRED QUALIFICATIONS BS in Computer Science, Machine Learning, Electrical Engineering, or related field 5+ years experience developing and benchmarking ML algorithms Experience pushing and maintaining ML algorithms in production Strong Python skills with experience in ML frameworks such as PyTorch Eligible to obtain and maintain an active U.S. Secret security clearance PREFERRED QUALIFICATIONS Experience fine-tuning transformer-based model Experience deploying deep-learning based models to edge devices or air gapped environments Prior experience in defense tech or start-up US Salary Range $220,000 - $292,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Healthcare Benefits US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you. UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents. IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents. Additional Benefits Income Protection: Anduril covers life and disability insurance for all employees. Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs. Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting. Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available. Professional Development: Annual reimbursement for professional development. Commuter Benefits: Company-funded commuter benefits based on your region. Relocation Assistance: Available depending on role eligibility. Retirement Savings Plan US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options. UK & IE Roles: Pension plan with employer match. AUS Roles: Superannuation plan. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. To view Anduril's candidate data privacy policy, please visit ********************************************** #J-18808-Ljbffr

A leading tech company is seeking a Senior Software Engineer to enhance user experience through strategic design of APIs and systems. This role offers a competitive salary of $140,000-$200,000/year, and focuses on Kotlin Multiplatform development. Join a diverse team that champions innovation and flexibility while impacting users with learning differences. Apply to help shape a transformative product! #J-18808-Ljbffr

We're looking for a Lead Azure Cloud Engineer to play a pivotal role in designing, implementing, and optimizing our Azure cloud infrastructure. In this strategic position, you'll collaborate with enterprise technology leaders and cross-functional teams-development, operations, and security-to build a secure, scalable, and high-performing cloud environment. What You'll Do Architect and manage scalable, secure Azure solutions across multiple environments. Ensure availability, performance, and security of all Azure resources. Develop and maintain Infrastructure as Code (IaC) using Terraform, Bicep, or ARM templates. Deploy and configure hybrid solutions integrating on-premises and cloud environments. Monitor and optimize infrastructure for cost efficiency and reliability. Troubleshoot and resolve complex system issues escalated from support or design phases. Stay ahead of emerging Azure technologies and best practices to drive innovation. Maintain comprehensive documentation-requirements, architecture diagrams, design specs, and test plans. Bonus: Experience with M365, Intune, PP&C, UEM, and IAM is highly valued. What You Bring Bachelor's degree in Computer Science, Engineering, or related field. 4+ years of experience as an Azure Cloud Engineer or similar role. Strong knowledge of Azure service models (Serverless, IaaS, PaaS, SaaS). Expertise in cloud security, compliance, and cost optimization. Azure certifications (minimum: Azure Administrator). Excellent problem-solving, troubleshooting, and collaboration skills. Why You'll Love This Role You'll lead cloud innovation, work with cutting-edge technologies, and help shape the future of our enterprise infrastructure. If you're passionate about Azure and thrive in a fast-paced, collaborative environment, we want to hear from you.

Clearance: TS/SCI Metric5 is seeking a highly experienced Senior DevSecOps Engineer to support the Cache team, leading efforts to design, automate, secure, and optimize mission‑critical cloud infrastructure in AWS GovCloud. The ideal candidate will have deep technical expertise in CI/CD pipelines, Infrastructure as Code (IaC), and security automation, with a proven track record of enabling secure and scalable solutions in compliance‑driven environments. This is a hands‑on engineering role requiring on‑site presence five days per week at the client location in Washington, DC. Responsibilities Architecture, Automation, and CI/CD Leadership Design and Implement CI/CD Pipelines: Lead the design, development, and maintenance of CI/CD pipelines (e.g., Jenkins, GitLab CI) to automate and accelerate application delivery, testing, and deployment into secure AWS environments. Infrastructure as Code (IaC): Architect, build, and manage scalable and resilient infrastructure using IaC tools such as Terraform or CloudFormation. AWS GovCloud Engineering: Design and maintain secure, compliant, and highly available systems in AWS GovCloud, ensuring adherence to FedRAMP and agency‑specific security requirements. Containerization & Serverless: Develop and manage containerized and serverless solutions using AWS Fargate, Lambda, and related services. System Optimization: Continuously monitor, troubleshoot, and optimize application performance, scalability, and cost efficiency. Security, Compliance, and Automation DevSecOps Integration: Embed security controls, vulnerability scanning, and compliance automation directly into CI/CD pipelines and infrastructure provisioning processes. Access Control and Monitoring: Implement and manage robust IAM policies, auditing mechanisms, and security posture assessments across environments. Compliance Adherence: Enforce FedRAMP and organizational security policies, ensuring full compliance of deployed infrastructure. Collaboration, Mentorship, and Problem Solving Cross‑Team Collaboration: Partner with development, cybersecurity, and operations teams to align DevSecOps strategies with mission goals. Technical Leadership: Provide mentorship to junior engineers, fostering a culture of automation, continuous improvement, and security‑first development. Incident Response: Lead root cause analyses and implement preventive measures to strengthen reliability and operational resilience. Required Qualifications 10+ years of DevOps or DevSecOps engineering experience with a focus on AWS services, CI/CD, and automation Expertise in AWS GovCloud and services such as Lambda, CloudFormation, Fargate, RDS, and ElastiCache Hands‑on experience implementing FedRAMP‑aligned or equivalent compliance frameworks Proficiency with Terraform or CloudFormation for IaC Strong scripting skills in Python, Java, or JavaScript/TypeScript Proven experience integrating security automation into DevOps processes Excellent communication and collaboration skills with both technical and non‑technical stakeholders Ability to lead complex technical initiatives and manage competing priorities Education & Certifications Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or a related field, or equivalent experience Preferred Certification: AWS Certified DevOps Engineer - Professional Years of Experience: 10+ years of relevant experience Salary: $150,000 - $160,000 Annually Clearance: US Citizen with TS/SCI Clearance Location: The candidate must be local to the Washington, D.C. area and able to report on‑site. About Metric5 Metric5 is a small business with big company benefits. We have a passionate team of smart, fun, caring professionals, and we are here for the long haul. Join our growing team in a business where your contributions make an enormous impact. Our organization offers a comprehensive employee benefits package, continuous professional development, with a best in class company culture that is enjoyable to work in and supports the growth of each of our professionals. Benefits Health & Dental Insurance with 100% of individual coverage paid for by the company Vision Insurance Life & Short Term Disability Insurance 401k with company match (employees are immediately vested) Paid Vacation 9 Paid Holidays per year (plus 2 paid floating holidays) Parental Leave Employee Bonuses Professional Development Reimbursement Program Tuition Assistance Program Metric5 is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Metric5 is an Equal Opportunity/Affirmative Action employer. All qualified candidates will receive consideration for employment without regard to disability, protected veteran status, race, color, religious creed, national origin, citizenship, marital status, sex, sexual orientation/gender identity, age, or genetic information. Metric5's commitment to diversity and inclusive selection practices includes ensuring qualified long‑term unemployed job seekers receive equal consideration for employment. Equal employment opportunity, including veterans and individuals with disabilities. PI279548995 #J-18808-Ljbffr

A leading media organization is seeking a talented Senior Engineer to join their team in Washington, D.C. You will contribute to enhancing their Pulitzer Prize-winning journalism through technology, focusing on mobile development using React Native. The ideal candidate will have extensive experience in full-stack development, including solid skills in JavaScript and cloud-based infrastructure. The role offers a competitive salary range of $115,000 to $150,000 and emphasizes teamwork, innovation, and communication. #J-18808-Ljbffr

Blue Energy's mission is to unlock energy abundance, energy affordability, energy security, and turn-key decarbonization by developing the fastest path to deploying new nuclear MWs at scale. We are utilizing shipyard manufacturing supply chains and techniques from offshore oil and wind to reduce the cost of nuclear plants by over 60% and the manufacturing timeline to 24 months. Blue Energy is a platform technology that makes use of the latest NRC-approved reactors and is in negotiations with existing nuclear and industrial sites, enabling a much faster regulatory pathway to deploy our first unit. With our innovative centralized shipyard manufacturing approach, we can put nuclear power on a cost-reduction learning curve akin to wind, solar, and lithium-ion batteries. Job Overview We are seeking a talented Senior Licensing Engineer - Safety to join our regulatory team and help bring our innovative nuclear power plant designs through the regulatory approval process. You will play a critical role in Blue Energy's mission by supporting the regulatory strategy, collaborating with the engineering team, and engaging with the NRC and international agencies. You will support critical NRC engagements, spanning from topical report submissions to licensing applications. You will lead key regulatory projects, directly contributing to submissions and managing external vendors used to support our regulatory efforts. Key Responsibilities Support VP of Regulatory and Chief Licensing Engineering in developing and executing Blue Energy's licensing strategy for nuclear power plant deployment. Perform and lead licensing work (e.g., topical report development and RAI response) collaboratively with Blue Energy licensing staff and contractors. Prepare, submit, and track regulatory filings, including Blue Energy's Construction Permit Application (CPA), and amendments to support the NRC licensing process. Develop topical reports and Safety Analysis Reports (SARs). Work closely with multidisciplinary teams to ensure alignment between regulatory requirements and engineering designs, site selection, and plant construction timelines. Interface with the NRC and international regulatory bodies to address regulatory questions, provide data, and manage requests for additional information (RFIs). Participate in regulatory meetings, audits, and inspections, representing Blue Energy's interests to ensure smooth and timely licensing. Stay up-to-date with evolving regulatory standards and frameworks, including NRC regulations (10 CFR), NUREGs, and relevant international guidelines, to anticipate their impact on Blue Energy's projects. Collaborate with engineering teams and vendors to develop and review documentation supporting regulatory submissions and design certification applications. Build and maintain relationships with regulators, policymakers, and external stakeholders to advocate for policy changes that enable more efficient nuclear power deployment. Qualifications Education: Bachelor's degree or higher in Science (Physics, Chemistry, etc) or Engineering (Nuclear, Mechanical, Electrical, or a related field). Experience: 8+ years of experience in regulatory affairs or licensing within the nuclear industry or a relevant governmental agency (e.g., NRC). Deep knowledge of NRC regulations, licensing processes, and safety standards. Experience with CP application processes; experience with advanced reactor designs is a plus. Strong ability to interpret complex regulatory requirements and translate them into actionable tasks. Excellent communication (both verbal and written) and project management skills, with a proven track record of working effectively with engineering, legal, and regulatory teams. Ability to manage multiple projects in a fast-paced startup environment. Preferred Qualifications Experience with international regulatory bodies (e.g., ONR, CNSC) and their nuclear licensing processes. Experience working on small modular reactors (SMRs) or other advanced reactor technologies. Professional Engineering (PE) license Experience working in a collaborative, high-growth startup environment where problem-solving and adaptability are crucial. We look forward to your application and helping foster an era of safe, clean, affordable, and abundant energy. Blue Energy is dedicated to building a diverse and inclusive workplace. If you're excited about this role but your experience doesn't perfectly align with every requirement, we encourage you to apply anyway. You might be the right candidate for this or other roles at Blue Energy now or in the future. #J-18808-Ljbffr

Analytica LLC is seeking a highly skilled Senior MLOps Engineer to lead the design, development, and deployment of machine learning operations infrastructure for defense applications. The role requires expertise in systems integration, ML pipeline development, and responsible AI practices within government environments. The position focuses on building scalable data and AI capabilities that support DoD mission‑critical operations while ensuring compliance with responsible AI principles. Analytica has been recognized by Inc. Magazine as one of the fastest‑growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day‑to‑day lives. The company offers competitive compensation with opportunities for bonuses, employer‑paid health care, training and development funds, and 401(k) match. Responsibilities Systems Integration & Command‑and‑Control Development: Serve as subject matter expert for systems integration supporting the design, development, and deployment of command‑and‑control products Lead networking and integration efforts for AI/ML systems deployed in operational and exercise environments Design and implement robust MLOps pipelines that support real‑time decision‑making capabilities for defense applications Collaborate with testing teams to ensure ML systems perform effectively during military exercises and operational scenarios Provide senior technical expertise in modeling, designing, and delivering advanced data tools and ML platforms for DoD‑wide adoption Build and maintain scalable infrastructure to handle massive‑scale video, image, structured and unstructured text data processing Develop automated data ingestion, preprocessing, and feature engineering pipelines that support diverse data types and formats Work with engineers, commercial vendors, government agencies, and academic partners to identify and implement cutting‑edge ML capabilities Advanced Technology Pipeline Development: Establish and maintain an enterprise‑level advanced technology pipeline to accelerate AI/ML adoption across the agency. Implement data quality monitoring, validation, and governance frameworks to ensure high‑quality training datasets Design and optimize ML model training, testing, and deployment workflows that reduce implementation cycles Develop automated testing and validation processes for ML models to ensure reliability and performance in operational environments Partnership Optimization & Process Development: Support the development of optimization models for government engagement with external partners and technology vendors Create and maintain integration workflows that leverage external capabilities while maintaining security and compliance standards Develop vendor assessment criteria and integration protocols for AI/ML technologies and services Documentation & Knowledge Management: Create, iterate, and publish comprehensive guidance materials for data science and AI development practices Develop and maintain coding standards and best practices documentation for ML development teams Establish documentation standards for model versioning, experiment tracking, and deployment procedures Design and implement data integration solutions that support enterprise data mesh architecture Develop real‑time data feed integration capabilities for live operational data streams Build APIs and microservices that enable seamless data sharing across DoD systems and applications Ensure data interoperability standards compliance across diverse defense systems and platforms Responsible AI Implementation & Governance: Lead the implementation and management of DoD responsible artificial intelligence programs and initiatives Integrate responsible AI tools, frameworks, and assessment methodologies into existing and new use cases Develop comprehensive performance metrics and evaluation frameworks for AI/ML projects and tools Conduct regular assessments of AI system outcomes, bias detection, and ethical compliance Prepare executive‑level reports and briefings on responsible AI implementation progress and recommendations Performance Monitoring & Evaluation: Establish MLOps monitoring and observability solutions for production ML systems Develop automated model performance tracking, drift detection, and retraining pipelines Create dashboards and reporting tools that provide visibility into ML system performance and reliability Conduct post‑deployment analysis and continuous improvement of ML operations processes Required Qualifications Bachelor's degree in Computer Science, Data Science, Machine Learning, or related technical field; Master's degree preferred Minimum 7‑10 years of experience in MLOps, DevOps, or related systems engineering roles Strong expertise in ML frameworks (TensorFlow, PyTorch, Scikit‑learn), containerization (Docker, Kubernetes), and cloud platforms Experience with data pipeline tools (Apache Airflow, Kubeflow, MLflow) and big data technologies (Spark, Hadoop) Knowledge of government compliance requirements, security frameworks, and responsible AI principles Preferred Qualifications Experience with defense or intelligence community AI/ML projects Certifications in cloud platforms (AWS ML, Azure AI, GCP ML) and MLOps tools Knowledge of responsible AI frameworks and bias detection methodologies Experience with real‑time data processing and streaming technologies Familiarity with DoD enterprise architecture and data sharing standards Current security clearance or ability to obtain required clearance level Equal Opportunity Employment Statement Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind and provide reasonable accommodations to applicants and employees with disabilities in accordance with applicable laws. #J-18808-Ljbffr

A cybersecurity solutions firm in Washington seeks an experienced Cybersecurity Engineer. You will design and implement security controls, ensure compliance with regulations, and monitor for security anomalies. The ideal candidate has over 10 years of experience in cybersecurity, a Bachelor's degree in a relevant field, and holds a CISSP certification. Additionally, an active TS//SCI clearance is required for this position. This role offers an opportunity to work with cutting-edge security tools and frameworks. #J-18808-Ljbffr

A leading technology company is seeking a Senior Engineer to join their Platform Engineering team in McLean, Virginia. The role involves designing and implementing solutions for their Kubernetes platform, automating infrastructure, and collaborating with diverse teams. Applicants should have at least 5 years of experience in infrastructure, a Bachelor's degree in a related field, strong Kubernetes knowledge, and excellent communication skills. This role supports federal contracts, requiring U.S. citizenship. Competitive compensation and flexible work arrangement offered. #J-18808-Ljbffr

A consulting engineering firm is seeking a Subject Matter Expert in Civil Engineering to support major systems acquisition programs. The ideal candidate will have 8-10 years of experience in civil engineering, including waterfront structures, and must hold a Professional Engineer (PE) license. Responsibilities include developing engineering drawings, ensuring regulatory compliance, and engaging with stakeholders. The position offers a salary of $130,000 - $180,000 per year and is based in Washington, D.C., with some travel required. #J-18808-Ljbffr

Job ID: 1006155 - Auburn, Washington - Job Type: Contract - Added: a day ago Equipment & Tool Engineer (Asset Integration & Sys. Eng) is hired by a client of Innova Solutions. Position Type: Full Time, Contract. Duration: 12+ months. Location: Auburn, WA / Fredrickson, WA. Responsibilities This is an equipment development, implementation, and improvement role. Evaluate program and project requirements, develop complex equipment concepts and design solutions for the Production System. Compile and analyze technical data to determine effects on product engineering design, usability, and rate estimates. Ensure compliance with safety, producibility, maintainability, reliability, ergonomic factors, and regulatory requirements. Develop and release bid and purchase specifications for equipment needs from suppliers. Troubleshoot current production issues related to quality, safety, and repeatability. Develop and implement workarounds and maintain configuration of hardware and documentation. Perform studies and make recommendations for disposition of assets. Basic Qualifications (Required) Bachelor's degree from an accredited program in engineering, computer science, mathematics, physics, or chemistry. ABET is preferred but not required. Preferred Qualifications Knowledge of various manufacturing techniques. Experience in automation and robotics. Ability to learn in a fast-paced environment. Strong communication skills and the ability to collaborate across diverse teams. Education Education/experience typically acquired through advanced technical education from an accredited program in engineering, computer science, mathematics, physics or chemistry (e.g., Bachelor) or an equivalent combination of technical education and experience. In the USA, ABET accreditation is preferred, though not required. Pay, Benefits, and How to Apply Pay Range: $40-$43 per hour. The final pay is based on candidates' education, work experience, location, duties, and certifications. Benefits (eligibility-based) include Medical & pharmacy, Dental/vision, 401(k), HSA, FSA, Life Insurance, Disability, and other paid leaves. EAP available. About Innova Solutions Founded in 1998 and headquartered in Atlanta, GA, Innova Solutions employs about 50,000 professionals worldwide and serves clients globally with technology and business transformation solutions. Recognition Named One of America's Best Employers for New Grads by Forbes (2024) Named one of the Best Companies to Work for by U.S. News & World Report (Private Companies List, 2024-2025) Ranked among top IT staffing firms by Staffing Industry Analysts (SIA, 2024) Multiple additional recognitions in 2023-2024 Contact Website: ******************************** Email: *********************************** • Phone: ************ Innova Solutions is an Equal Opportunity Employer. If you require accommodations during the application process, please contact ********************** or **************. #J-18808-Ljbffr

An engineering services company in Bethesda is seeking a Senior Principal Engineer to support naval ship engineering programs and manage projects. The ideal candidate has a Master's Degree and over 20 years of experience in the field, including ship systems engineering and data analysis. This position requires an active Secret clearance and offers competitive compensation along with various benefits. #J-18808-Ljbffr

A financial technology company in San Francisco is seeking a Staff Machine Learning Engineer to lead the development of sophisticated AI and ML systems. You will be responsible for designing robust frameworks, implementing new product features, and mentoring team members. The ideal candidate should have over 8 years of experience and expertise in Python and machine learning. The role offers competitive pay and various benefits, including health plans and unlimited PTO. #J-18808-Ljbffr

A leading defense technology company located in Washington, D.C. is seeking an AI Engineer to enhance military capabilities with innovative AI systems. The successful candidate will be responsible for fine-tuning transformer architectures and developing systems to address real-world military challenges. The role requires strong experience in machine learning and Python, along with a bachelor's degree in a relevant field and the ability to maintain a U.S. Secret security clearance. Competitive salary range is $220,000 - $292,000, accompanied by comprehensive benefits. #J-18808-Ljbffr