267 jobs found

Company Overview: Integrated Data Services (IDS) is a leading provider of custom software products and Government financial management services. IDS was founded in 1997 in El Segundo, CA, and since that time has seen tremendous growth and success. Currently, IDS has offices supporting customers nationwide. By providing customers with fast, efficient and reliable information systems and support services, IDS has become a preferred provider of financial and programmatic systems, services and solutions across a wide variety of government agencies. Position Description: IDS is currently searching for a DevSecOps Engineer with deep expertise in AWS cloud infrastructure, containerization, and security automation. You will be responsible for architecting and implementing secure CI/CD pipelines, managing Kubernetes clusters, deploying infrastructure as code using Terraform/OpenTofu, and embedding security controls throughout the software development lifecycle. The ideal candidate is a proactive problem solver who balances security requirements with operational efficiency and development velocity. The candidate will have opportunities to expand their skill set by working with emerging security tools, implementing compliance-as-code frameworks, and collaborating across development, operations, and security teams to build resilient, secure systems Core DevOps Skills: 3+ years of experience in AWS cloud services (EC2, ECS/EKS, S3, Lambda, RDS, ALB, VPC, IAM) is required 3+ years of experience in Container technologies (Docker and/or Podman) is required 3+ years of experience in CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, or similar) is required 3+ years of experience in Git version control and branching strategies is required 2+ years of experience in Infrastructure as Code (Terraform and/or OpenTofu) is required 2+ years of experience in Kubernetes orchestration (deployment, scaling, monitoring, troubleshooting) is required 2+ years of experience in Configuration management (Ansible, Chef, or Puppet) is preferred 2+ years of experience in Monitoring and observability (Prometheus, Grafana, ELK stack, CloudWatch) is preferred Security Tools & Practices: 3+ years of experience in DevSecOps practices (security automation, shift-left security) is required 2+ years of experience in Container security scanning (Trivy, Aqua, Twistlock, Anchore, or similar) is required 2+ years of experience in Static/Dynamic Application Security Testing (SAST/DAST tools like SonarQube, Checkmarx, OWASP ZAP) is required 2+ years of experience in Integrating security gates into CI/CD pipelines is required 2+ years of experience in Secrets management (Vault, AWS Secrets Manager, or similar) is required 2+ years of experience in Vulnerability management and remediation workflows is required 1+ years of experience in Software Composition Analysis for dependency scanning (Trivy, Snyk, or similar) is preferred Compliance & Hardening: 2+ years of experience in Security compliance frameworks (NIST, STIG, CIS benchmarks, FedRAMP) is required 2+ years of experience in Security hardening and baseline configuration is required 2+ years of experience in Audit logging and security event monitoring is required Security Architecture: 2+ years of experience in Identity and Access Management (IAM policies, RBAC) is required 2+ years of experience in Network security (security groups, NACLs, WAF, network segmentation) is required 1+ years of experience in Certificate management and PKI is required 2+ years of experience in Security code review practices is preferred 2+ years of experience in Container and Kubernetes security (Pod Security Standards, Network Policies, image signing) is preferred Integration & Data Tools: 2+ years of experience in API gateway management is preferred 1+ years of experience in ETL platforms (Talend and/or Apigee) is preferred Scripting & Programming: 3+ years of experience in Scripting languages (Python, Bash, or Go) is required 3+ years of experience in YAML/JSON configuration is required Soft Skills: Must have security mindset and risk assessment thinking Must have strong problem-solving and troubleshooting abilities Must be able to balance security requirements with development velocity Cross-functional collaboration with development and operations teams is required Documentation and knowledge sharing is required Communication of security risks to technical and non-technical stakeholders is required Incident response and on-call readiness is required Staying current with emerging security threats and vulnerabilities is required Education & Certifications: This position requires a minimum of a Bachelor's degree from an accredited college or university in Engineering, Information Technology, Computer Science or related field is preferred. Experience in lieu of education may be considered if the individual has 4 or more years of equivalent technical training or work/military experience. Relevant certifications to include AWS Certified Solutions Architect, CKA, Terraform Associate are preferred Security certifications to include Security+, CISSP, CEH, or similar are highly desired Cloud security certifications to include AWS Security Specialty, Azure Security Engineer) are preferred Physical & Mental Qualifications: Must be able to sit, type, hear, see, and speak for extended periods of time. Must consistently work and type on a computer for prolonged periods of time. Must be able to able to communicate accurate information and ideas so others will understand. Must be able to lift/carry at least 15 lbs. May be required to move about inside an office to access file cabinets, office supplies, etc. Security Clearance: Applicants selected for employment will be subject to a federal background investigation and must meet additional eligibility requirements for access to classified information or materials. Active Secret clearance preferred; ability to obtain and maintain required clearance is mandatory. Travel: Some travel may be required. Hours: Normal work schedule hours may vary, Monday through Friday. May be required to work additional hours and/or weekends, as needed, to meet deadlines or to fulfill travel obligations. Salary Range: $140,000 - $160,000 per year The estimated salary range listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job posting and may be modified in the future. The disclosed salary range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. When determining an applicant's compensation, various factors are taken into consideration including, but not limited to: geographic location, relevant prior work experience, relevant training, special skills/competencies, education, clearance, licenses/certifications, labor categories/contract rates and other business needs. IDS offers a robust benefits package including employer paid health, dental, vision, disability, AD&D and life insurance plans for eligible employees. IDS also offers a variety of elective plans to eligible employees including flexible spending accounts, voluntary life insurance and supplemental insurance plans. Benefits become effective the first of the month following the start date of employment unless starting on the 1st of the month, in which case benefits are effective immediately upon the eligible employee's start date. IDS offers eligible employees eleven (11) paid holidays, generous PTO accruals starting at three (3) weeks per year, as well as a 401(k) safe harbor contribution upon eligibility. IDS also offers generous employee referral bonuses. IDS is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regards to age (40 and over), color, physical or mental disability, gender identity or expression, genetic information (including family medical history), national origin or ancestry, race, religion, sex, pregnancy (including childbirth and related medical conditions), sexual orientation, citizenship status, veteran status, uniformed service member status, or any other characteristic protected by federal, state, or local law. IDS participates in E-Verify. To learn more about E-Verify, including your rights and responsibilities, please visit A submission of a resume is an expression of interest and not considered an application. For more information, visit . Disclaimer: This job description is intended to provide an overview of job responsibilities that are subject to change. U.S. citizenship is required; H1-B visas and other visas are not being sponsored. Relocation expenses are NOT compensated. All jobs are employer paid; no fees to candidates. Third parties or agency inquiries are not being accepted at this time.

We are a federal IT company on a mission to make customer experience (CX) the center of every government solution. Technology is our Passion. People are our Purpose. We know tech, but we love people. NuAxis is home to thinkers and feelers; engineers and artists. We work hard and support each other along the way. Teamwork is more than just a buzzword for us, it's a state of mind. We believe happy employees do amazing work, so join our team NOW! We are currently seeking a talented and motivated UI/UX Developer for a Full-Time position. Position Overview The Developer III leads the design, enhancement, operation, and maintenance of complex enterprise software applications supporting mission-critical business operations in a regulated client environment. This role translates functional requirements into secure, scalable, maintainable application components and technical designs using modern React and .NET technologies. The position provides senior-level technical leadership through peer reviews, complex defect resolution, performance optimization, mentoring, and adherence to Agile and DevSecOps delivery practices. The Developer III also builds and supports automated delivery pipelines that validate, test, package, deploy, and monitor changes across controlled application environments. Key Responsibilities Lead the design, development, enhancement, testing, deployment, and maintenance of complex full-stack software applications using current .NET platforms, C#, RESTful APIs, and React-based user interfaces. Translate functional requirements into secure technical designs, reusable components, data-access patterns, interface contracts, development estimates, and implementation plans. Assess existing application architecture, isolate and resolve complex production defects, remediate technical debt, and improve application reliability, maintainability, performance, and response times. Design, implement, and maintain CI/CD pipelines that perform pull-request validation, linting, builds, unit and integration testing, artifact packaging, controlled deployment, and release verification. Apply secure software delivery practices, including code reviews, dependency and vulnerability remediation, secrets management, access controls, audit-ready change management, and automated quality gates. Use Azure cloud services to host, deploy, monitor, troubleshoot, and scale enterprise applications, leveraging application telemetry and monitoring data to support operational reliability. Collaborate with architects, business analysts, product owners, and cross-functional delivery teams to define requirements, resolve technical blockers, and deliver high-quality solutions in Agile environments. Mentor less-experienced developers, establish and reinforce engineering standards, conduct peer reviews, and provide technical guidance across application operations, maintenance, and modernization activities. Required Qualifications Bachelor's degree in Computer Science, Information Systems, Software Engineering, or a related field, or equivalent relevant experience. Six or more years of progressively responsible experience in software development, web application development, and application operations and maintenance. Demonstrated experience designing, developing, testing, debugging, documenting, and maintaining full-stack web applications using C#, current .NET platforms, React, JavaScript, HTML, and RESTful APIs. Experience supporting existing enterprise applications, including production troubleshooting, root-cause analysis, defect remediation, performance optimization, and technical-debt reduction. Demonstrated ability to establish and maintain CI/CD pipelines supporting automated builds, code-quality checks, unit and integration testing, packaging, deployment, and release validation. Working knowledge of secure software development practices, including code review, vulnerability remediation, secure secrets handling, access controls, dependency management, and change-management controls. Ability to meet Public Trust suitability requirements and U.S. citizenship requirements. Preferred Qualifications Experience using Azure services, including Azure App Service, Azure Key Vault, application monitoring, telemetry, and cloud-hosted application deployment and troubleshooting. Familiarity with Azure Data Lake Storage concepts, including structured and unstructured data storage, hierarchical namespace patterns, access controls, and analytics integration. Azure Developer Associate, Azure DevOps Engineer Expert, or a comparable cloud or DevSecOps certification. Experience with infrastructure as code, containerized application delivery, observability tooling, and AI-enabled coding tools used with appropriate developer review and security controls Does this opportunity sound like a fit for you? If so, join our talent community and click to apply now Our Profile: We are an IT company with a unique mission-to make people the center of every federal IT solution. Our technologists have always gone the extra mile to help our federal clients succeed. And over the years, we saw a growing disconnect in how federal IT initiatives were built and managed. Time after time, programs failed because the focus was on the tools and products and not the people using them. Learn More. NuAxis is an Equal Opportunity Employer. Employment is contingent upon successful completion of a background investigation. Learn More about our Benefits and Culture!

Position Title: Senior Systems Engineer Description: Senior Systems Engineer (Infrastructure) Location: Beachwood, OH Shift: Monday - Friday 8am -5pm (Onsite 4 days a week) Position Summary The Senior Systems Engineer is responsible for the design, implementation, administration, and support of Penske Logistics' enterprise infrastructure environment, including server, storage, virtualization, cloud, and backup technologies. This role provides day-to-day operational support for both Windows and Linux server platforms while ensuring high availability, performance, scalability, and security across enterprise systems. The Senior Systems Engineer will lead and support infrastructure initiatives involving virtualization platforms, storage systems, automation, disaster recovery, and cloud-integrated technologies. This position requires strong technical expertise, project leadership capabilities, and the ability to collaborate across technical and non-technical teams to deliver reliable and innovative IT solutions that support Penske's business operations. The role includes participation in after-hours support, maintenance windows, and on-call rotation responsibilities. Major Responsibilities Administer, maintain, monitor, and support enterprise Windows and Linux server environments Manage and support virtualization platforms including VMware vSphere, Nutanix AHV, Hyper-V, and related infrastructure technologies Support enterprise storage environments including Dell EMC, SAN/NAS, and fiber channel and ethernet technologies Design, implement, and maintain highly available virtual infrastructure solutions Monitor system health, performance, and capacity planning for servers, storage, and virtualization platforms Ensure systems and infrastructure adhere to organizational security standards and remediation practices Implement automation and operational efficiencies using PowerShell, PowerCLI, Bash, Python, or similar scripting tools Perform disaster recovery planning, testing, documentation, and ongoing operational readiness activities Install, configure, upgrade, and patch operating systems, hypervisors, and enterprise applications Support cloud and hybrid-cloud infrastructure initiatives across on-premises and cloud environments Manage enterprise backup and recovery solutions and ensure data protection standards are maintained Lead infrastructure projects from planning and design through implementation and operational support Develop project plans, timelines, risk assessments, contingency plans, and status reporting Collaborate with internal teams, vendors, and business stakeholders on infrastructure solutions and strategic initiatives Create and maintain infrastructure documentation, diagrams, standards, and operational procedures Maintain server inventory, lifecycle management documentation, and asset tracking Evaluate emerging technologies and provide recommendations for infrastructure modernization and optimization Mentor junior engineers and provide technical guidance to support staff Ensure proper management processes are followed for all infrastructure modifications Provide after-hours support for infrastructure-related incidents and scheduled maintenance activities Perform additional duties and special projects as assigned Qualifications Bachelor's degree required in Information Technology, Computer Science, Computer Engineering, or related field preferred Equivalent combination of education and relevant infrastructure administration experience will be considered Minimum 5 years of experience in systems engineering, infrastructure administration, or enterprise IT support 2-3 years of experience leading or supporting mid-to-large scale infrastructure projects Strong experience administering Windows Server and Linux server operating systems (Red Hat, Ubuntu, or similar) Experience supporting enterprise virtualization platforms including VMware vSphere, Nutanix AHV, Hyper-V, or similar technologies Experience with enterprise storage technologies including Dell EMC, SAN, NAS, and fiber channel infrastructure Experience with Active Directory, DNS, DHCP, Group Policy, and identity/access management concepts Experience with cloud platforms and hybrid infrastructure environments preferred Experience with monitoring, backup, and disaster recovery solutions Strong scripting and automation experience using PowerShell, PowerCLI, Bash, Python, or similar tools Knowledge of enterprise networking concepts, VLANs, and network interface configuration Experience implementing security remediation and infrastructure hardening best practices Strong documentation, troubleshooting, communication, and organizational skills Experience with Microsoft Office applications including Visio Preferred Certifications VMware Certified Professional (VCP) Nutanix Certified Professional (NCP) Red Hat Certified System Administrator (RHCSA) or equivalent Linux certification Relevant cloud or infrastructure certifications preferred Physical Requirements Regular, predictable, full attendance is an essential function of the job Ability to work the required schedule, travel as necessary, and participate in after-hours support rotations Ability to read, analyze, and communicate technical information verbally and in writing Ability to occasionally lift and/or move up to 25 lbs. Specific vision abilities required include close vision, distance vision, depth perception, and ability to adjust focus Penske Logistics is an Equal Opportunity Employer. About Penske Logistics Penske Logistics engineers state-of-the-art transportation, warehousing and freight management solutions that deliver powerful business results for market-leading companies. With operations in North America, South America, Europe and Asia, Penske and its associates help businesses move forward by increasing visibility and driving down supply-chain costs. Visit Penske Logistics to learn more. Job Category: Information Technology Job Function: Software Engineering Job Family: Information Technology Address: 3000 Auburn Dr Primary Location: US-OH-Beachwood Employer: Penske Logistics LLC Req ID: Requirements PI

DTS is looking for IoT Cloud Developer for our client position Job Description: We're looking for a Senior Cloud Engineer to help design, build, and support scalable, cloud-native solutions on AWS. In this role, you'll work across serverless, event-driven, and IoT-based architectures, partnering closely with delivery teams and clients to turn complex requirements into reliable, high-performing systems. You'll bring strong technical depth, a builder's mindset, and a collaborative approach-contributing directly to implementation while helping guide and mentor other engineers as part of successful project delivery. What You'll Accomplish: Design, build, and support cloud-native AWS solutions with a focus on scalability, reliability, and performance. Contribute to and support AWS IoT Core-based architectures, integrating device data with backend services. Design, develop and maintain scalable serverless applications on AWS Lambda using TypeScript. Design and support scalable DynamoDB data models for high-throughput, event-driven workloads. Implement and maintain event-driven architectures using Kinesis streams, SNS topics, and S3. Support data ingestion, transformation, and analytics workflows leveraging AWS Glue, Athena, and QuickSight. Contribute to the evaluation and implementation of AWS Fargate for longer-running or stateful services, including services written in Golang. Monitor cloud system performance, identify optimization opportunities, and implement improvements to reliability and cost efficiency. Investigate root causes of incidents within distributed systems and document solutions and best practices. Implement and maintain security controls aligned with AWS best practices to protect infrastructure and data. Provide technical guidance and mentorship to Associate Cloud Engineers as part of project delivery. Communicate technical concepts effectively to internal teams and clients, contributing to strong delivery outcomes.

Pay Range: $61.00hr - $66.00hr Job Overview: The Public Key Infrastructure (PKI) Engineer will be responsible for ensuring the processes and controls are developed and implemented around the core Certificate Authority (CA) Management, Active Directory, and platform authentication across Windows and Unix. The role involves developing and integrating various tools to better automate and manage the Public Key Infrastructure while ensuring auditability for system management. The successful candidate will work cross-functionally with Security and Infrastructure teams to ensure full integration and automation. Required Skills and Experience: Experience working within an agile development methodology such as Kanban or Scrum. Hands-on experience with Certificate Life Cycle Management Tool Venafi. In-depth knowledge of managing keys and RBAC via the Venafi System. Well versed with integration and enrollment via defined workflows. Responsible for providing manual and automated reports through the Venafi system. Experience with continuous delivery and deployment. Experience assessing data protection approaches, requirements, and activities. Knowledge of Certification Authorities, Two-Factor Authentication, MFA, LDAP Directories, OCSP, ICAM, and the standards relating to them. Understanding of cryptography, key management, masking, tokenization, or other data protection technologies. Experience utilizing and deploying encryption technologies such as TLS, PGP, PKI, and HSM. Knowledge of system security vulnerabilities and remediation techniques, including penetration testing methods, principles, and concepts. An understanding of SSH, especially the configuration and use of SSH keys for authentication. Experience with high-level script languages such as Python, along with shell scripting in KSH, Bash, and PowerShell. Knowledge and experience of network and system security solutions, concepts, and technologies. Experience with distributed platforms such as Linux, with Windows server experience being a plus. Strong verbal and written communication skills with comfort working across all levels in the organization. Effective at both collaboration and negotiation with internal stakeholders. Capable of managing and prioritizing multiple projects with competing resource requirements and timelines. 10+ years of experience working in an IT Infrastructure related role along with associated design experience. Preferred: Demonstrated experience with server configuration management and infrastructure automation tools such as Ansible or Puppet. Experience supporting enterprise server hardware including Dell or HP. Experience with Identity Management solutions such as IBM TIM/TAM. Experience with IoT devices and management is a plus. Design and implement solutions for integration within client environments for various Red Hat products such as IdM (Identity Management), Satellite, RHV (Red Hat Virtualization), RHDS (Red Hat Directory Server), and Ceph. AWS Cloud experience including core services such as EC2, S3, ALB/NLB, Lambda, and RDS. Experience designing, optimizing, and troubleshooting public cloud platforms associated with large, complex application stacks. 3+ years of experience working in a PKI environment, with AWS public cloud environment experience being a plus. AWS hands-on experience designing and managing AWS cloud solutions. Previous experience working as a Technical Architect, Solutions Architect, Technical Design Authority, or Solutions Designer is preferred. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Systems Engineer III (Hybrid job, Multiple positions available nationally) A Secret Clearance is required for this job The Systems Engineer in the plays a crucial role in the development, integration, and maintenance of complex systems and technologies used in defense and aerospace applications. Keys to this job: Top priority is to find a "Requirements expert" to develop requirements using either JAMA or DOORS (or similar). The client has a lot of requirements they need to go through, review, and discuss with customers. Candidate needs experience with the Requirements Development Lifecycle, doing SRR, design reviews, test reviews, etc. The client needs someone who has experience with SRR (System Requirements Review), who will be working on VPX modules. Job Functions: System Design and Development: Collaborate with cross-functional teams to design and develop system architectures, subsystems, and components for defense and aerospace systems. This involves understanding and analyzing system requirements, conducting feasibility studies, and creating design specifications. Familiarity with defense and aerospace industry standards, regulations, and specifications. Knowledge of relevant technologies, such as avionics, sensors, communication systems, and software integration. System Integration: Coordinate and oversee the integration of various subsystems, components, and technologies to ensure proper functionality and interoperability. This includes conducting system testing, troubleshooting issues, and implementing corrective measures. Requirements Management: Define, document, and manage system requirements throughout the entire development lifecycle. This involves capturing stakeholder needs, analyzing and allocating requirements, and maintaining traceability between system elements. Risk Assessment and Mitigation: Identify potential risks and uncertainties associated with system design, integration, and operation. Develop and implement strategies to mitigate risks, ensure system safety, and enhance reliability. Technical Documentation: Prepare and maintain accurate and comprehensive technical documentation, including system specifications, design documents, test plans, and user manuals. Ensure compliance with industry standards and regulations. Collaboration and Communication: Work closely with interdisciplinary teams, including engineers, project managers, and stakeholders, to ensure effective communication, collaboration, and alignment of project goals and objectives. Participate in meetings, reviews, and presentations. Verification and Validation: Plan and execute verification and validation activities to ensure that the developed systems meet the specified requirements and performance metrics. This includes developing test procedures, conducting tests, analyzing results, and documenting findings. System Lifecycle Management: Support system lifecycle management activities, including system upgrades, configuration management, and maintenance planning. Monitor system performance, assess operational issues, and propose improvements or enhancements. Job Requirements: This is a Hybrid job Education: A bachelor's or master's degree in engineering, preferably in a relevant field such as Aerospace Engineering, Electrical Engineering, or Systems Engineering, Computer or Software Engineering. Advanced degrees or certifications may be preferred for senior or specialized positions. Technical Knowledge: Strong understanding of systems engineering principles, methodologies, and best practices. Familiarity with defense and aerospace industry standards, regulations, and specifications. Knowledge of relevant technologies, such as avionics, sensors, communication systems, and software integration. Experience with Computer Integration and Test experience. Bash Scripting experience is a plus. Software Tools: Familiarity with systems engineering tools and software used for requirements management, modeling and simulation, configuration management, and project documentation (e.g., DOORS, SysML, MATLAB, Simulink JAMA and Cameo Systems Modeler). Analytical and Problem-Solving Skills: Ability to analyze complex system requirements, identify potential issues or risks, and propose innovative solutions. Strong problem-solving and troubleshooting skills to address integration challenges and ensure system performance. A security clearance is required. This can include background checks and adherence to strict security protocols. Clearance can be active within the last 24 months. Excellent verbal and written communication skills to effectively interact with multidisciplinary teams, stakeholders, and clients. Ability to present technical information in a clear and concise manner.

Pay Range: $35.00hr - $40.00hr Job Overview: Our client is dedicated to recruiting and developing high-performing talent passionate about their work. Employees are unified in a shared dedication to the customer's mission and professional growth within an inclusive, engaging environment designed to promote work-life success. The organization delivers end-to-end technology solutions connecting space, air, land, sea, and cyber domains in the interest of national security. A Senior Engineering Technician is needed to join a dynamic test and integration team supporting cutting-edge defense and space programs. In this role, the candidate will leverage extensive technical expertise to autonomously lead complex test operations, mentor junior technicians, and drive solutions to challenging electromechanical integration problems in a hands-on, fast-paced environment. Work Environment: Electrostatic Discharge (ESD) environment requiring hair net, booties, smock, and grounding straps. Essential Functions: Performs a variety of duties in the electronic, mechanical, electromechanical, and optical areas. Assists in the design, construction, test, and check-out of test equipment. Constructs, troubleshoots, calibrates, adjusts, tests, diagnoses, and maintains equipment, components, devices, or systems. Works from schematics, operating or repair manuals, engineering drawings, and written or verbal instructions. Works with complex machines and computer systems. Build, modify, and integrate electromechanical assemblies, test equipment, fixtures, racks, and support tooling; support interconnect verification, wiring and termination, initial power-on, and troubleshooting to the component level. Read, interpret, and provide redline markups on electrical schematics, mechanical drawings, interconnect drawings, wiring diagrams, and Bills of Materials (BOMs); collaborate with Engineering and Quality to implement improvements and technical recommendations. Perform cable and wire harness fabrication, build, repair, routing, bonding, and soldering; conduct continuity checks, resistance and voltage checks, and workmanship standard corrections. Manage lab test asset movement, storage, and availability; maintain critical spares and consumables inventory; coordinate across internal teams to execute time-sensitive work. Maintain detail-oriented management of inventory, assembly, and kitting activities to support program schedules and deliverables. Mentor and train lower-level technician peers, sharing technical expertise and best practices across electromechanical build and integration activities. Manage multiple tasks and less structured activities requiring independent judgment; coordinate build and integration activities, acting as a facilitator for the program Test Engineer. Position requires the ability to obtain a United States security clearance. Must-Haves (Hard Skills): Experience operating Radio Frequency (RF) and digital test equipment and technology. Very strong computer skills, including the ability to run automated tests, navigate directories, and utilize Windows and Microsoft Office programs while adhering to strict documented processes. Strong attention to detail with the ability to work with small, fragile, and detailed parts. Nice-To-Haves (Hard Skills): Experience with qualification testing, including vibration, thermal, and thermal vacuum testing. Qualifications: Requires a High School Diploma or equivalent with a minimum of 8+ years of prior relevant experience, or an Associate's Degree with a minimum of 6+ years of prior related experience. Active US security clearance preferred; must have the ability to obtain a US security clearance post-start. Demonstrated experience in electronic test, assembly, manufacturing, or a related technical field. Preferred Additional Skills: Hands-on experience with cable and wire harness fabrication including soldering, bonding, and routing in a high-reliability environment. Experience building and integrating electronic test equipment, fixtures, and racks for space or defense programs. Familiarity with electronic test equipment such as multimeters, oscilloscopes, and Radio Frequency (RF) analyzers. Experience with interconnect verification, continuity checks, and resistance and voltage measurements. Background with inventory management, assembly kitting, and lab asset coordination. Experience providing redline markups on electrical schematics, wiring diagrams, and Bills of Materials (BOMs). Forklift and Crane Certification or experience. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

DCS has an exciting opportunity for a Senior Systems Engineer providing support to the Air Force Life Cycle Management Center/ISR SOF (AFLCMC/HB). The Air Force Program Execution Office for Intelligence, Surveillance, Reconnaissance and Special Operations (PEO ISR SOF) has the collective Air Force Materiel Command (AFMC) mission responsibility to manage and execute the modernization, development, testing, production, fielding, and sustainment of the ISR SOF portfolio, which includes over 200 programs for the United States Air Force (USAF) and foreign allies. AFLCMC/PEO ISR SOF is headquartered at Wright Patterson Air Force Base, OH with geographically separated operating units CONUS and OCONUS. This position supports the Advanced E7 Development and the FMS Division, supporting the Royal Saudi Air Force, as part of the International Airborne Battle Management Command and Control (FMS) Division; AFLMC(WIW). The WIW Division located at Tinker AFB (OK), and Hanscom AFB (MA), with dispersed support at Eglin AFB, Seattle WA, San Antonio TX and several OCONUS positions. This position specifically supports the Foreign Military Sales (FMS) Japan Program Office. This is a full-time position located at Hanscom Air Force Base, MA. Essential Job Functions: Duties include, but not limited to: Conduct comprehensive program portfolio reviews to evaluate and recommend alternative plans, enhance systems engineering processes, manage and sustain technical baselines, and design/perform system-level tests to ensure subsystem and system performance aligns with approved specifications. Review and evaluate alternative plans, systems engineering programs, designs, and test results to verify subsystem and system performance compliance with program specifications. Prepare technical documentation defining and recommending system/subsystem characteristics, management reports, and technical presentations for planning, implementation, and corrective actions, applying engineering economy principles. Perform system validations, including criteria and procedure development, and analyze/evaluate major engineering system results. Provide engineering, technical support, and training for programs/initiatives, including acquisition, development, integration, sustainment, evolution, deployment, fielding, installation, and operations oversight. Support risk management activities in alignment with Air Force Systems Engineering Assessment Model (AF SEAM) processes. Conduct formal trade studies considering engineering performance, effectiveness, cost-performance balance, lifecycle cost, reliability, maintainability, risk, and schedule. Offer technical recommendations through reviews, studies, audits, evaluations, analyses, procedural guidance, and documentation, supporting engineering Integrated Product Teams (IPTs). Analyze proposals to compare and quantify technical feasibility, compatibility, and cost-effectiveness of proposed systems and components. Concepts and Requirements Analysis: Review and analyze key documents, including Initial Capabilities Documents (ICDs), Capability Development Documents (CDDs), Capability Production Documents (CPDs), and Analyses of Alternatives (AoAs). Conduct assessments of military utility, operational concepts (CONOPs), technology development strategies, functional configuration audits (FCAs), physical configuration audits (PCAs), and technology standards profiles. Analyze system concepts and user requirements entered into system requirements baselines (functional, allocated, and product). Engineering Process Support: Assist in material solution analysis, technology development, engineering, manufacturing, production, deployment, and operations support. Provide support for engineering technical processes, including version/configuration control, requirements analysis, architecture design, implementation, integration, verification, validation, and decision analysis. Perform risk, configuration, technical data, and interface management, as well as technical planning and assessments. Technical Reviews and Documentation: Support planning and execution of technical reviews (e.g., System Requirements Review, Technology Readiness Assessments) and develop associated documentation (e.g., Systems Engineering Plan, Risk Management Plan). Develop systems engineering documentation, ensuring understanding of systems-of-systems interactions, configuration management, technical data packages, and acquisition/sustainment engineering processes. Travel: 10% Required Skills: Due to the sensitivity of the customer, U.S. citizenship is required. Must have a Secret Clearance. Bachelor's degree in a related field and 12 years of experience in the respective technical/professional discipline being performed, 5 of which must be in the DoD OR 15 years of directly related experience, 8 of which must be in the DoD. Desired Skills: Technical Skills Systems engineering expertise across documentation, requirements development, and CDRL review processes Strong capability in evaluating alternative technical plans, architectures, and engineering designs Experience conducting system-level testing, validations, FCAs/PCAs, and ensuring subsystem/system compliance with specifications Skilled in preparing technical documentation, management reports, and technical presentations for planning and corrective actions Proficiency in risk management aligned with AF SEAM, configuration/version control, and interface/technical data management Ability to perform trade studies balancing performance, lifecycle cost, reliability, maintainability, schedule, and risk Competence in analyzing ICDs, CDDs, CPDs, AoAs, and translating concepts and operational requirements into system baselines Interpersonal Skills Strong communication capabilities with clear, concise, and technically accurate messaging across diverse stakeholder groups Proactive, organized, and detail-oriented leadership style with the ability to drive outcomes without direct authority Demonstrated ability to build and maintain professional relationships within cross-functional and international environments High adaptability and situational awareness when navigating complex, multi-stakeholder modernization programs Effective collaborator within engineering IPTs, facilitating consensus, alignment, and informed decision-making Strong problem-solving abilities with a self-starter mindset, capable of independently identifying issues and recommending solutions Ability to lead through influence by fostering cooperation, transparency, and shared ownership of engineering objectives Pay Range and Benefits: There are a variety of factors that can influence salary at DCS Corp, including but not limited to, geographic location, Federal Government contract labor categories and wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. The proposed salary range for this position is: Salary Range: $123,639 - $170,000 At DCS, we pride ourselves on providing flexibility that allows employees to balance meaningful work with their personal lives. We offer competitive compensation, benefits, and opportunities for learning and development. Our broad and competitive mix of benefits is designed to support and protect employees and their families. Our robust benefit offerings include medical, dental, 401k, ESOP, PTO, education reimbursement, work/life balance, parental and other leave programs. Learn more about our benefits here: DCS Corp Benefits.

Company Overview: Integrated Data Services (IDS) is a leading provider of custom software products and Government financial management services. IDS was founded in 1997 in El Segundo, CA, and since that time has seen tremendous growth and success. Currently, IDS has offices supporting customers nationwide. By providing customers with fast, efficient and reliable information systems and support services, IDS has become a preferred provider of financial and programmatic systems, services and solutions across a wide variety of government agencies. Position Description: IDS is seeking a Senior Software Engineer to build and sustain enterprise applications that Department of Defense (DoD)/Department of War (DoW) personnel depend on daily for program and financial management activities. Our stack includes Java and Spring Boot on the back end, Angular on the front end, and Oracle underneath, with applications deployed to government-approved cloud environments (such as AWS GovCloud) through automated pipelines that meet DoD/DoW security requirements. We place greater emphasis on an engineer's problem-solving approach, technical judgment, and ability to understand systems end-to-end than on experience with any specific set of frameworks or tools. Successful engineers in this role can quickly assess unfamiliar code, develop a clear understanding of how components interact from the database through the user interface, and design solutions that are reliable, maintainable, and scalable over time. We expect engineers to use AI-enabled tools effectively while remaining accountable for the quality, security, and performance of their work. Technical depth is important, but so are adaptability, sound judgment, clear communication, and disciplined engineering practices. You will work as part of an agile product team supporting ongoing development across a family of related business applications. The team operates on a regular release schedule, and you will contribute throughout the full agile development lifecycle, including requirements definition, estimation, design, development, testing, demonstration, and delivery. Responsibilities include, but are not limited to, the following: Own application capabilities from concept through production, including requirements analysis, solution design, API development, implementation, testing, deployment, verification, and sustainment. Use AI development tools where they improve efficiency across coding, testing, schema changes, documentation, and deployment activities, while remaining fully accountable for the correctness, security, and maintainability of all delivered work. Model data as part of feature design by designing tables, keys, constraints, and indexes that efficiently and securely support applications and APIs, and evolve existing schemas as requirements change. Write SQL directly against Oracle and understand database execution and performance implications. Contribute to Angular front-end work as features require, whether or not it is your primary specialty. Own your changes through the pipeline, including build, security scanning, testing, deployment, and verification in the target environment. Write clean, well-tested code, clearly explain technical approaches for peer review, and provide substantive and constructive reviews of others' work. Investigate defects efficiently to identify root causes rather than stopping at the first plausible explanation. Participate in architecture and design decisions, and advocate for technically sound approaches supported by clear rationale. Knowledge and Skills: Demonstrated depth in relational databases, including designing schemas and writing, reading, and reasoning about non-trivial SQL, preferably in Oracle environments. Working familiarity with a modern front-end framework, such as Angular or React. Experience delivering software through CI/CD into a cloud environment using a mainstream toolchain, such as GitLab CI, GitHub Actions, Jenkins, Azure DevOps, Bitbucket Pipelines, or equivalent. Recent hands-on experience with a modern Java LTS release (21 or 25). What Distinguishes Strong Candidates You may not have experience in every area listed below. These qualifications are intended to provide insight into the technical and operational environment in which you will work and the capabilities that can contribute to success in this role. Data access breadth - Experience working with both JPA/Hibernate and JDBC-based approaches, with the ability to determine when each is appropriate; familiarity with schema migration tools such as Flyway or Liquibase. Cloud and operations - Experience with AWS services such as ECS/Fargate, RDS, S3, and IAM; container build and runtime environments; and infrastructure as code. Pipeline and supply chain - Experience with static analysis and dependency scanning tools such as SonarQube, Fortify, Trivy, or Snyk; artifact promotion and provenance; and pipeline development within a modern CI/CD platform. Security engineering - Experience with PKI and certificate management, TLS configuration, secrets management, FIPS-validated cryptography, and secure software development under DoD/DoW requirements. Regulated delivery - Experience delivering software in environments governed by STIGs, RMF, ATO processes, or similar security and compliance frameworks. Domain - Experience with federal financial management, Planning, Programming, Budgeting, and Execution (PPBE), or DoD/DoW systems acquisition. AI-assisted development - Demonstrated experience using AI-enabled development tools in production software environments, combined with the judgment to validate outputs, recognize limitations, and determine when independent technical analysis is required. Education and Work Experience: This position requires seven (7) or more years of professional software development experience, with substantial hands-on experience in Java and Spring Boot. This position requires a minimum of a Bachelor's degree from an accredited college or university in data science, computer science, software engineering, information systems, mathematics, or a closely related technical discipline. Experience in lieu of education may be considered if the individual has eleven (11) or more years of relevant technical training or professional work experience. Active CompTIA Security+ certification (or better), or the ability to obtain the required certification within six (6) months of hire. Physical & Mental Qualifications: Must be able to sit, type, hear, see, and speak for extended periods of time. Must consistently work and type on a computer for prolonged periods of time. Must be able to able to communicate accurate information and ideas effectively so others can understand. Must be able to lift/carry at least 15 lbs. May be required to move about inside an office to access file cabinets, office supplies, equipment, and other work-related resources, etc. Security Clearance: Applicants selected for employment will be subject to a Federal background investigation and must meet additional eligibility requirements for access to classified information or materials. Active Secret clearance preferred; ability to obtain and maintain Secret clearance is required for this role. Travel: Some travel may be required. Hours: Normal work schedule hours may vary, Monday through Friday. May be required to work additional hours and/or weekends, as needed, to meet deadlines or to fulfill travel obligations. Salary Range: $140,000 - $160,000 per year The estimated salary range listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job posting and may be modified in the future. The disclosed salary range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. When determining an applicant's compensation, various factors are taken into consideration including, but not limited to: geographic location, relevant prior work experience, relevant training, special skills/competencies, education, clearance, licenses/certifications, labor categories/contract rates and other business needs. Please note: All candidates being considered for this position will be required to complete a technical assessment designed to evaluate their engineering and coding skills. The assessment may include general coding exercises, code testing and debugging, problem-solving, ability to follow technical requirements, and attention to detail. The assessment is expected to take approximately 60 minutes to complete. It is being administered for candidate evaluation purposes only, and any code or work product submitted as part of the assessment will not be used for business or production purposes. If you require a reasonable accommodation to complete the assessment, please notify our Human Resources team in advance so we can support your request. IDS offers a robust benefits package including employer paid health, dental, vision, disability, AD&D and life insurance plans for eligible employees. IDS also offers a variety of elective plans to eligible employees including flexible spending accounts, voluntary life insurance and supplemental insurance plans. Benefits become effective the first of the month following the start date of employment unless starting on the 1st of the month, in which case benefits are effective immediately upon the eligible employee's start date. IDS offers eligible employees eleven (11) paid holidays, generous PTO accruals starting at three (3) weeks per year, as well as a 401(k) safe harbor contribution upon eligibility. IDS also offers generous employee referral bonuses. IDS is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regards to age (40 and over), color . click apply for full job details

We are a federal IT company on a mission to make customer experience (CX) the center of every government solution. Technology is our Passion. People are our Purpose. We know tech, but we love people. NuAxis is home to thinkers and feelers, engineers and artists. We work hard and support each other along the way. Teamwork is more than just a buzzword for us, it's a state of mind. We believe happy employees do amazing work, so join our team NOW! We are currently seeking a talented and motivated Data Center Technician II for a Full-Time position. Job Summary: Provides hands-on support for day-to-day data center operations. This role assists with maintaining infrastructure reliability, supporting hardware installations, and ensuring accurate asset tracking. The technician works closely with senior team members while developing technical skills in a fast-paced environment. Responsibilities: Rack/stack servers and network equipment Cable management and labeling Asset tracking and inventory Assist with hardware installs and removals Requirements: Associate's Degree or equivalent experience 1+ year IT or data center support experience Experience supporting computer room or data center environments Knowledge of data center infrastructure and support systems Ability to contribute to documentation and process development Basic cybersecurity knowledge (phishing, smishing, vishing) Strong customer service skills Ability to lift up to 75 lbs 2+ years data center or infrastructure support preferred Does this opportunity sound like a fit for you? If so, join our talent community and click to apply now Our Profile: We are an IT company with a unique mission-to make people the center of every federal IT solution. Our technologists have always gone the extra mile to help our federal clients succeed. And over the years, we saw a growing disconnect in how federal IT initiatives were built and managed. Time after time, programs failed because the focus was on the tools and products and not the people using them. Learn More. NuAxis is an Equal Opportunity Employer. Employment is contingent upon successful completion of a background investigation. Learn More about our Benefits and Culture!

We are a federal IT company on a mission to make customer experience (CX) the center of every government solution. Technology is our Passion. People are our Purpose. We know tech, but we love people. NuAxis is home to thinkers and feelers, engineers and artists. We work hard and support each other along the way. Teamwork is more than just a buzzword for us, it's a state of mind. We believe happy employees do amazing work, so join our team NOW! We are currently seeking a talented and motivated System Administrator VI for a Full-Time position. Job Summary: The System Administrator VI serves as a senior technical expert and Enterprise Systems Subject Matter Expert (SME), responsible for the architecture, resilience, operation, and long-term strategy of enterprise systems supporting a shared services data center environment. This role provides advanced Tier II/III support, leads complex projects, and partners directly with federal stakeholders to ensure secure, scalable, and reliable IT operations. Education Associate's Degree, technical training certificate, or a combination of education and equivalent professional experience. Experience Required 7+ years of progressively responsible experience in enterprise system administration. Minimum 6 years of hands-on technical experience supporting enterprise IT environments at the server and data center level. Federal enterprise IT experience preferred. Core Responsibilities Act as Enterprise Systems SME, providing technical leadership for architecture, resilience, and long-term system strategy. Support and maintain enterprise systems, including: Backup and recovery operations for the Data Operations Center (DOC) System patching, performance tuning, and resource optimization Hardware and software upgrades Operational configuration and troubleshooting Provide Tier II and Tier III support, mentoring and supporting lower-tier teams. Architect and approve enterprise system designs, standards, and configurations. Lead disaster recovery planning, testing, and execution. Serve as technical lead for shared services enterprise datacenter IT projects. Interface directly with Contracting Officer's Representatives (CORs) and Office of Information Technology (OIT) leadership. Ensure compliance with enterprise architecture standards, security requirements, and operational best practices. Lead and manage complex technical initiatives, including documentation, timelines, and deliverables. Support data center physical infrastructure and security systems. Technical Skills & Knowledge Strong expertise in Microsoft and Linux operating systems. Experience with VMware virtualization platforms. Knowledge of Microsoft enterprise management tools. Familiarity with Data Center Infrastructure Management (DCIM) tools. Experience with industry-standard data center physical security tools and applications. Working knowledge of scripting and programming languages such as: PowerShell Visual Basic .NET C# Other relevant scripting languages Professional Skills Ability to work independently with minimal guidance and resolve highly complex technical issues. Proven ability to lead projects and technical teams. Strong written, verbal, and presentation-based interdepartmental communication skills. Experience developing project management and technical documentation. Strategic mindset with the ability to align technical solutions to enterprise and mission needs. Does this opportunity sound like a fit for you? If so, join our talent community and click to apply now Our Profile: We are an IT company with a unique mission-to make people the center of every federal IT solution. Our technologists have always gone the extra mile to help our federal clients succeed. And over the years, we saw a growing disconnect in how federal IT initiatives were built and managed. Time after time, programs failed because the focus was on the tools and products and not the people using them. Learn More. NuAxis is an Equal Opportunity Employer. Employment is contingent upon successful completion of a background investigation. Learn More about our Benefits and Culture!

We are a federal IT company on a mission to make customer experience (CX) the center of every government solution. Technology is our Passion. People are our Purpose. We know tech, but we love people. NuAxis is home to thinkers and feelers, engineers and artists. We work hard and support each other along the way. Teamwork is more than just a buzzword for us, it's a state of mind. We believe happy employees do amazing work, so join our team NOW! We are currently seeking a talented and motivated System Administrator V for a Full-Time position. Job Summary: Serves as a Senior Systems Administrator providing advanced technical leadership, design, optimization, and operational support for enterprise servers and datacenter environments. This role supports Microsoft and Linux platforms, virtualization, enterprise storage, backup and recovery, and security initiatives while serving as a Subject Matter Expert (SME) for shared services enterprise datacenter projects. The position also leads to modernization efforts and mentors' junior system administrators. Key Responsibilities Provide senior-level system administration support for enterprise servers and datacenter environments Design, optimize, and maintain enterprise platforms supporting mission-critical operations Administer and support Microsoft Windows Server and Linux operating systems Support and manage virtualization platforms, including VMware, and enterprise storage solutions Lead server modernization initiatives, including system upgrades and technology refresh efforts Perform backup and recovery operations for Data Operations Centers (DOC) Conduct system patching, performance tuning, capacity planning, and resource optimization Provide Tier II/III escalation support and technical guidance to lower-tier support teams Support enterprise security initiatives and datacenter physical security tools and applications Utilize DCIM tools to monitor, manage, and optimize datacenter infrastructure Perform hardware and software upgrades and maintain operational configurations Develop and maintain technical, operational, and project management documentation Serve as a Subject Matter Expert (SME) for Shared Services Enterprise Datacenter IT projects Lead and participate in enterprise technical initiatives and cross-functional projects Mentor and coach junior system administrators Collaborate with cross-departmental teams and communicate effectively through written documentation, verbal communication, and presentations Required Qualifications Associate's degree, technical training certificate, or equivalent combination of education and experience Minimum of 5 years of related technical experience supporting enterprise or datacenter-level IT environments Proven experience supporting: Microsoft Windows Server environments Linux operating systems Enterprise Microsoft products and management tools VMware virtualization platforms Experience with backup and recovery, system patching, performance tuning, and capacity planning Experience with enterprise storage solutions and infrastructure optimization Experience using industry-standard datacenter physical security tools and applications Working knowledge of DCIM tools and datacenter infrastructure management Preferred / Additional Skills Basic knowledge of scripting and programming languages, including: PowerShell Visual Basic .NET C# Strong troubleshooting skills with the ability to independently resolve highly complex technical issues Demonstrated ability to work with minimal supervision Proven leadership skills and experience leading technical efforts and projects Ability to mentor junior technical staff Excellent interdepartmental communication skills (written, verbal, and presentations) Does this opportunity sound like a fit for you? If so, join our talent community and click to apply now Our Profile: We are an IT company with a unique mission-to make people the center of every federal IT solution. Our technologists have always gone the extra mile to help our federal clients succeed. And over the years, we saw a growing disconnect in how federal IT initiatives were built and managed. Time after time, programs failed because the focus was on the tools and products and not the people using them. Learn More. NuAxis is an Equal Opportunity Employer. Employment is contingent upon successful completion of a background investigation. Learn More about our Benefits and Culture!

AI Engineer 4 (MLX, Agentic AI, Gen AI workflows, GraphRAG) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for AI Engineer 4 Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 5 (Senior Manager, IC) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5 McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 5 (Senior Manager, IC) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5 McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (MLX, Agentic AI, Gen AI workflows, GraphRAG) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for AI Engineer 4 Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Job Description Senior Exchange Online (EXO) Administrator Washington, DC -100% onsite Per Federal contract U.S. citizenship is required Must be able to obtain Public Trust clearance Start Date- 08/2026 through 12/2027 with possibility of long-term contract extension based on performance Open to W2 and C2C Must apply by June 30th Position Summary Manage and maintain our hybrid Exchange environment, including on-premises Exchange Server and Exchange Online (Microsoft 365). Ensure reliable email services, security, and compliance across the organization. Key Responsibilities • Administer and support hybrid Exchange infrastructure (on-premises and Exchange Online) • Manage mailbox migrations, mail flow, and hybrid connectivity between environments • Configure and maintain transport rules, DLP policies, retention policies, and email security features • Monitor system performance, troubleshoot issues, and resolve user email problems • Implement anti-spam, anti-malware, and threat protection using Microsoft Defender for Office 365 • Manage user provisioning, distribution groups, shared mailboxes, and permissions • Maintain hybrid synchronization and directory services (Azure AD Connect) • Execute eDiscovery, legal holds, and compliance investigations • Document configurations, procedures, and maintain system architecture records • Provide end-user support and training on email features Required Technologies • Microsoft Exchange Online & Exchange Server (hybrid environment) • PowerShell (Exchange Online/On-Prem Management) • Microsoft 365 Admin Center & Exchange Admin Center (EAC) • Azure Active Directory & Azure AD Connect • Exchange Online Protection (EOP) & Microsoft Defender for Office 365 • DNS, SPF, DKIM, DMARC, mail flow routing Required Experience • 4+ years managing Exchange environments • 2+ years with hybrid Exchange (on-premises + Exchange Online) • 2+ years PowerShell scripting for Exchange administration • Hands-on experience with mailbox migrations and hybrid deployments • Email security and compliance implementation Preferred Qualifications • Microsoft 365 Certified: Messaging Administrator Associate • Experience with 500+ user environments • ITIL or service management experience Ref:

Job Description Job Description POSITION DESCRIPTION AND REQUIREMENTS : As integral part of our team, the Voice Systems Trainer will provide stand-up classroom training in to train Information Management Specialists (IMS), Information Management Technical Specialists (IMTS), locally engaged staff (LES), Diplomatic Security (DS) and employees from other U.S. Government agencies on a variety of telephone/voice and data networking systems and related equipment. LOCATION OF POSITION : Arlington, VA. Candidate must be able to travel overseas for a period of up to 2 weeks (potential frequency: 1-2 times per year). REQUIRED CERTIFICATIONS & EXPERIENCE MUST INCLUDE: Successful candidate must have a minimum of five years of experience and working knowledge of voice systems engineering, standard installation practices, operations and maintenance procedures. Experience delivering classroom instruction in an adult environment is a must. Instructors must be dynamic while on podium. Infrastructure - Background and working knowledge of voice and data systems engineering, standard installation, operation and maintenance procedures are required. Understanding of telephony and networking terminology, and industry standards. Must have the ability to explain and communicate these items to a novice level. Experience in teaching voice and/or data networking. Programming and maintaining Avaya family of switches including CS1000E Call Server. Vendor Certification is desired. Programming and maintaining voice mail systems such as Call Pilot, or Cisco Unity Connection. Programming and maintaining advanced Avaya, Call Pilot, or Cisco Unity Connection. Creation and/or delivery of online digital content. Identifying and resolving QOS, routing, and real time communications problems. Minimum Cisco Certified Network Associate (CCNA) level certification required within 180 days of starting work. Certified Technical Trainer (CTT ) certification; if no certification at entry on duty, must Obtain the CTT certification or complete the Department of State Training Tradecraft course (PD505) within 180 days of starting work. DESIRED KNOWLEDGE AND EXPERIENCE: Experience in teaching voice and/or data networking. Call Accounting Systems - Background and working knowledge of Call Detail Recording for Avaya/Meridian Systems. Ability to work with and configure third party Call Accounting Systems such as Phoneware CallBill. Telecommunication Security understanding of the National Telecommunications Security (NTS) Working Group (WG), formerly known as the Telecommunications Security Group (TSG) guidelines are desired Curriculum design Creation and/or delivery of online digital content. Security Clearance required Candidates must be clearable at the Secret Level. Interim secret clearance required to start working. GENERAL DUTIES FOR ALL LEVELS OF VOICE TRAINERS: Teach courses as assigned. Also be responsible for the classroom, which includes setting up computers, virtual labs, and instruction material. In addition, prepare student evaluations to include performance and learning deficiencies. Conduct student counseling and recommend corrective action to ensure acceptable student performance. Must have excellent organizational, interpersonal, and communication skills, both oral and written, and be able to present state of the art training concepts and methodologies using Department of State delivery technology to students within the Department and other government agencies. Must have experience as an instructor in adult-oriented, technical training environment and comprehensive knowledge of training methods and behavior sciences associated with adult education instruction. Special Projects as required, to include but not limited to, attending special seminars and training, to gather information for exercise and curriculum development and presentations. Must have ability to consult with customers, analyze requirements, and develop, revise, and/or adapt instruction materials to meet the functional needs of Department of State employees. Update curriculums and courseware for courses as required to meet industry and DOS standards. Design and participate in workshops, seminars, and review sessions. Assist in the development and revision of industry standard training. This may involve, among other issues, choosing the most appropriate COTS course material. Design classroom seminars and workshops to meet the needs of specialized users as needed. Provide one-on-one tutoring and review sessions from time-to-time to augment classroom and online training. During the performance of the contract, the contractor will be required to provide professional and technical experience as described above. Must be able to travel to domestic and overseas locations to conduct training. Must work with other instructors to physically install/configure new equipment for the classroom training environment, including the replacement of failed electronics that provide the training platforms for students. Must adhere to established SAIT policies, processes, and procedures.

Job Description Job Description Genesis10 is seeking a Data Architect for our client in the utilities industry. This long term contract position is located in Dallas, TX 77202. Hybrid schedule 2-3 days onsite. W2 Hourly Pay rate range: ( $85-120/hr Depending on experience ) Description: We are seeking a Data Architect to own the strategic design and governance of our enterprise data landscape, built on Oracle on-premise database platforms and modeled using Erwin. This role sits above individual project data models: you will define the enterprise-wide data architecture, standards, and target operating model that all data modelers, engineers, and DBAs build against, while personally handling the highest-complexity, highest-volume modeling and architecture decisions across the organization. You will bring proven experience architecting for large-scale data volumes (multi-GB to multi-TB), regulated environments, and the performance, scalability, and integrity demands that come with them. You will also be responsible for assisting in development and management of Data Governance and Master Data Management solutions. You must be comfortable presenting deep technical concepts to non-technical leadership i.e., have good technical and communication skills coupled with the ability to provide technical mentorship. Key Responsibilities Data Architecture & Data Strategy Define and own the enterprise data architecture strategy, including target-state data models, subject area models, and reference architectures across the Oracle on-premise estate. Establish enterprise-wide data modeling standards, naming conventions, and governance policies within Erwin, and ensure consistent adoption across data modeling and engineering teams. Own the enterprise Erwin model repository/mart: subject area organization, model versioning, complex merges, and cross-model consistency at scale. Partner with stakeholders (Application Teams, Enterprise Architecture, business unit leaders) to translate business strategy into a coherent, long-term data architecture roadmap. Evaluate and architect for scalability, performance, and maintainability of Oracle databases handling large data volumes (GB to multi-TB scale), including partitioning, indexing, and storage strategy at the architectural level. Assist in promoting the Data Architecture function to increase the adoption of Data Virtualization (Denodo) across the enterprise. Data Modeling & Design Oversight Design and review conceptual, logical, and physical data models for the most complex, cross-functional, and high-volume domains in the enterprise. Provide architectural review and approval of data models produced by senior/staff data modelers, ensuring alignment with enterprise standards, referential integrity, and downstream performance implications. Lead reverse-engineering and rationalization efforts for large, legacy Oracle schemas, consolidating and simplifying where architecturally sound. Guide both OLTP/3NF and dimensional (star/snowflake) modeling approaches, selecting the right pattern for transactional, operational, and analytical workloads. Governance, Performance & Risk Assist in enriching the enterprise data governance artifacts tied to the architecture: business glossary, data lineage, metadata repository, and data dictionary standards. Lead capacity planning and performance architecture for large Oracle databases anticipating growth in data volume and ensuring the model and physical design scale accordingly. Assess and mitigate architectural risk in schema changes at enterprise scale, including impact analysis across integrated systems. Ensure data architecture practices meet regulatory, security, and compliance requirements applicable to the industry. Establish policies, procedures and guidelines regarding all aspects of Data Governance Master Data Management Assist in establishment of policies, procedures and guidelines regarding all aspects of Master Data Management Ensure Architectural rules and design of the MDM process are documented and best practices are adhered to. Developing a strategic roadmap for MDM, and assisting in developing a roadmap and its implementation Leadership & Collaboration Mentor and provide technical direction to data modelers, ETL developers, and DBAs on modeling best practices, Erwin usage, and Oracle architecture patterns. Act as the primary architectural liaison between business stakeholders, application teams, DBAs, and infrastructure teams. Present architecture decisions, trade-offs, and roadmaps to senior leadership and non-technical stakeholders. Provide mentorship to Data Analysts to ensure data management and design best practices are adhered to. Collaborate with support teams to ensure consistent and proactive support methodologies are in place for all aspects of data movement and data transformation. Required Qualifications 10+ years of experience in data architecture, data modeling, or database engineering, including prior experience as a senior/lead data modeler, solution architect or data architect. Deep, hands-on expertise with Erwin Data Modeler at an enterprise scale (model mart, subject areas, complex compare/merge, versioning across large teams). Strong expertise in Oracle Database (on-premise), including advanced SQL/PL-SQL, schema design, partitioning, indexing strategy, and performance tuning at the architectural level. Demonstrated experience architecting and modeling for large data volumes (GB to multi-TB scale) with a track record of designs that scaled successfully in production. Strong command of data modeling theory (normalization/denormalization, cardinality, keys, referential integrity) and dimensional modeling (star/snowflake) for analytics. Experience defining enterprise data standards, governance frameworks, and metadata/lineage practices. Extensive working knowledge of all aspects of Data Movement and Processing, including Middleware, ETL, API, OLAP and best practices for data tracking Proven ability to operate at the intersection of technical architecture and executive stakeholder management i.e., translating business strategy into data architecture and communicating trade-offs to leadership. Strong written and verbal communication skills, with experience producing architecture documentation, ER diagrams, and data dictionaries for both technical and business audiences. Preferred Qualifications Experience in a regulated industry (utilities, financial services, insurance, healthcare) with associated data governance and compliance obligations. Experience leading or mentoring a team of data modelers/architects. Previous experience working with PostGres and MongoDB and big plus. Familiarity with complementary data modeling tools such as ER/Studio, Power Designer, Collibra, Alation Exposure to hybrid on-prem/cloud data strategies, even where the primary platform remains Oracle on-premise. Experience with Target Operating Model (TOM) design for data functions. Relevant certifications (OCI, DAMA, CDMP, etc.) is a plus. Experience with Hadoop/MongoDB is a plus Working experience with Denodo is a plus Team Culture: Our team is fast paced, fun, highly energetic, motivated and hardworking. We expect our candidates to be integrated into our results-driven and solution-oriented culture from the get-go. Our team attains high-quality results on challenging projects; the belief that outcomes are linked to one's effort rather than chance and the tendency to personally set challenging yet realistic goals. Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year-in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years. The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years. Access to an experienced, caring recruiting team (more than 7 years of experience, on average.) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF & Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex . click apply for full job details

Job Description Job Description Provide a short description of the Position: The position supports the UI Job Assist Tool (JAT), a initiative to develop and integrate secure APIs and Model Context Protocol (MCP) services between the core UI system of record and an AI-enabled Job Assist Tool. The Senior Tester will perform functional, integration, API, microservice, AI-tool, and MCP validation to ensure reliable and secure read/write data exchange. Provide a list of the day-to-day tasks to be performed by the Selected Candidate: Develop and execute functional and integration test scenarios for the Al-enabled UI Job Assist Tool. Test read/write REST APIs and Java microservices used to exchange data between the core UI system and the Job Assist Tool. Perform Model Context Protocol (MCP) validation, including server/client interactions, tool invocation, request/response handling, and error conditions. Validate business rules and data-integrity controls designed to prevent corrupt or unapproved Al-generated data from being written back to the UI system. Execute positive, negative, boundary, regression, and end-to-end tests across APIs, microservices, MCP components, and Al integrations. Create and maintain test cases, test data, traceability, defect documentation, and test execution results. Use API testing tools to validate REST endpoints, payloads, schemas, authentication, error handling, and response behavior. Query backend data stores as needed to confirm accurate processing and persistence of data. Collaborate with Programmers, Data Architects, Cloud Engineers, vendor technical teams, and business SMEs to investigate defects and clarify expected behavior. Support performance and scalability testing for workloads associated with approximately 1,500 concurrent users and document-heavy processing. Validate security-sensitive integration behavior in a regulated UI environment and support knowledge transfer to State staff. What type of software is typically used by the Agency? Java, REST APIs, SQL, Postman/SoapUI, JMeter, GitHub/GitLab, Model Context Protocol (MCP), Client-ALM What type of hardware is typically used by the Agency? Google Cloud Platform (GCP), Windows, Linux Position Mandatory Qualification (Per Attachment 7, Section 1.2.4) Position Job Title: (Per Attachment 4) Tester Conducts automated and manual tests to ensure that the software created/upgraded performs as necessary and meets the user requirements. Develops and maintains user and technical documentation and project process documentation for application teams. Understands the view of applications and/or technology and is able to put procedures in a logical sequence. Position Skill Level: (Per Attachment 4) Senior 60 - 84 months: Candidate is able to work independently, without assistance and provides guidance to others. May have an advanced education. Position Requested Qualifications (Per Attachment 7, Section 1.2.5) 60 months of experience performing functional, integration, regression, and end-to-end testing of enterprise web applications and distributed systems. 36 months of experience testing REST APIs and microservices, including request/response payloads, schemas, authentication, error handling, and backend data validation. 36 months of experience testing Java-based enterprise applications or services and using SQL to validate backend processing and data integrity. 12 months experience testing or validating AI-enabled applications or integrations, including functional validation of AI outputs and data exchanged with systems of record. 12 months experience validating Model Context Protocol (MCP) servers, clients, tools, or integrations, including expected and error-path behavior. 24 months experience using API/service testing tools such as Postman, SoapUI, JMeter, or comparable tools. 24 months experience creating test plans, test cases, traceability, defect documentation, and test execution summaries in an Agile delivery environment.