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Job Description Job Description Details: Posted: 6/3/2026 Level: Administrator IV (SUOAF) Hours: Full-time, 35 hours per week Closing Date: Applications will be accepted until the position is filled, with materials submitted by 5:00pm (EST) on Friday, July 17, 2026 , receiving priority consideration. Location: CSCU System Office 61 Woodland Street Hartford, CT 06105 This position is not remote For more information, please visit the campus website or Connecticut State Colleges & Universities Mission: The Connecticut State Colleges & Universities (CSCU) contribute to the creation of knowledge and the economic growth of the state of Connecticut by providing affordable, innovative, and rigorous programs. Our learning environments transform students and facilitate an ever-increasing number of individuals to achieve their personal and career goals. CSCU Vision: The Connecticut State Colleges and Universities will build on its long and successful history by working collectively - within and across institutions - and by engaging external partners to increase the number of students pursuing and completing personally and professionally rewarding certificate and degree programs, improving their social mobility, and helping the state to meet its current and future workforce demands. CSCU Equity Statement: The Connecticut State Colleges and Universities commits to bold and disruptive change by actively identifying, naming, and dismantling structural racism, systemic poverty, and other barriers; establishing equitable and anti-racist policies and practices; and empowering students, faculty, staff, and administrators to advance racial, social, and economic justice. Our core collective responsibility is to continuously assess practices and policies and transform the world we live in by eliminating inequities. Anticipated Start Date: June 2026Position Summary: Under general supervision, provides technical support and assistance in information systems administration, problem resolution, system testing, development, integration, and security. Assists in designing, developing, testing, deploying, and maintaining technical solutions to enhance information systems. Example of Job Duties: Under the direction of the Senior Systems Development Manager or Designee, the Systems Software & Integration Engineer is responsible for technical support through effective performance in these essential duties: Develops, maintains, performs, or assists with procedures to ensure the integrity of information systems. Assists in design and coordinates with programmers to develop software solutions and integrations. Maintains a thorough understanding of software application subsystems, gauging the impact of system access requests and handling items such as code modification and configuration. Assists with testing, deployment, maintenance of software and database applications and enhancements. Works as a system analyst with key personnel to help define user needs and develop solutions. Coordinates with technical and functional staff to troubleshoot application and database problems. Works with technical and functional staff to analyze, design, construct and implement applications and integrations; helps determine and document business needs and requirements for upgrades and enhancements. Manages moderately complex projects from start to finish, including resource planning. Assists in implementing security policies & procedures, along with investigation and resolution of security incidents, to ensure a stable and secure computing environment. May supervise professional staff and/or student workers. Performs other duties related to those above, which do not alter the basic level of responsibility of the position. This posting includes qualifications, experience and skills but is not limited to the full specifications stated in the job description. Minimum Qualifications: Bachelor's degree in computer science, information systems, or related field. Incumbents are required to have demonstrated advanced knowledge and abilities in the following: Minimum four years of experience in design, implementation, testing, maintenance, and support of information systems in an ERP environment, preferably Ellucian Banner. Hands-on experience with a currently supported version of a Relational Database Management System (RDBMS) such as: Oracle, Microsoft SQL, MySQL, or Postgres using tools such as TOAD or SQL Developer. Experience with one or more RDBMS development languages such as: SQL, PL/SQL, PostgreSQL, or equivalent. Experience in one or more reporting and analytical tools such as Argos, Cognos, PowerBI, or equivalent. Experience in one or more software development methodologies, data modeling, and best practices in software development. Ability to take ownership and manage moderately complex projects from start to completion. Excellent customer service and communication skills. Ability to work with people of various backgrounds and at all levels of technical knowledge. Strong organizational, analytical, and problem-solving skills. Candidates must possess proven ability to effectively work with culturally, linguistically, and ethnically diverse faculty, staff, and students. They are expected to have excellent interpersonal oral and written communication skills along with strong Information technology literacy skills such as Microsoft Office (Word, Excel, Outlook, Teams etc.).Preferred Qualifications: Experience with Unix/Linux operating system in a large-scale, high transactional production environment. Familiarity with web development tools such as: HTML5, CSS, Bootstrap, JSON, Java, JavaScript, AngularJS and RESTful Web Services. Familiarity with NodeJS, React.js and an IDE tool such as Visual Studio. Familiarity with automating batch processes using scheduling tools such as crontab, Automic or ISE (EnterpriseSCHEDULE) or comparable tools. Familiarity with, or ability to learn, portal applications, system integrations/interfaces, and Learning Management systems. Preferred platforms are the Ellucian Experience portal, Ellucian Data Connect, Ellucian Ethos, Intelligent Learning Platform (ILP), and Blackboard. These qualifications may be waived for individuals with appropriate alternate experience.Starting Salary: Minimum Salary; $85,465 approximate annual plus excellent State of CT medical insurance, retirement, and related fringe benefits. The salary will be based on the selected candidate's qualifications such as education and job-related experience, and internal equity. We offer a comprehensive benefits package to help you stay well, protect yourself and your family, and plan for a secure future. Benefits include generous leave policies; several retirement plans; and many choices for comprehensive health insurance. You also have access to many additional benefits to save for retirement, protect your family & more with supplemental benefits. Tuition reimbursement may apply if applicable. Application Instructions: To apply you must submit a cover letter and resume. The cover letter may be entered as text in the corresponding box, or it can be uploaded as a combined file with the resume. Incomplete applications or those submitted after the closing date will not be considered and links to other sources to view resumes are not acceptable. For more information or to apply via our website at Selection Procedure: Following the closing date, application materials will be evaluated by a selection committee. Candidates selected for further consideration will be limited to those applicants who are best qualified based on the minimum and preferred qualifications and who have submitted all the required documents by the closing date and time listed on the job announcement. Candidates who have been selected and approved to interview will be contacted, and finalists will be recommended for further consideration by the Hiring Manager for final selection and recommendation for employment. The selection process may also include practical exercises (i.e., teaching demonstration and/or other written, technical, manipulative, or simulation exercises) to evaluate candidates' qualifications. Background Screening: All employment, if offered, is contingent upon proof of citizenship or employability under the requirement of the Immigration and Control Act (IRCA) and the successful passing of a background check, including granting permission to contact current and previous employers for verification. CSCU is committed to providing a safe campus community. Background investigations include reference checks, a criminal history record check and, when appropriate, a financial (credit) report or driving history check. Continuing Notice of Nondiscrimination CSCU does not discriminate on the basis of race, color, religious creed, age, gender, gender identity or expression, national origin, marital status, ancestry, present or past history of mental disorder, learning disability or physical disability, veteran status, sexual orientation, genetic information or criminal record. For inquiries regarding the non-discrimination policies, please contact . CSCU IS AN AFFIRMATIVE ACTION/EQUAL OPPORTUNITY EMPLOYER, M/F Powered by JazzHR 0hfT9CfgaF

Job Description Job Description Looking for a Release DevOps Engineer with at least 5 years of experience in managing CI/CD pipelines, automation, and infrastructure management. The ideal candidate will have hands-on experience with tools like Jenkins, Copado, AWS DevOps, Docker, and Kubernetes. This role involves automating and streamlining release processes, ensuring continuous delivery, and maintaining high availability and reliability of systems. Position Overview: As a Release DevOps Engineer, you will play a crucial role in managing and optimizing our continuous integration and continuous delivery (CI/CD) pipelines to ensure efficient and seamless software releases. Your expertise in Jenkins, Copado, AWS DevOps, and other DevOps tools will be vital in automating release processes and enhancing deployment strategies. You will collaborate closely with development, QA, and operations teams to ensure the reliability, scalability, and security of our cloud-based infrastructure. The role demands a proactive approach to automation, monitoring, and optimization, contributing to a culture of continuous improvement and rapid development cycles. Key Responsibilities: Design, implement, and maintain CI/CD pipelines using tools like Jenkins, Copado, and AWS DevOps to support efficient software development and deployment. Automate release management, deployment, and configuration management tasks using Jenkins, Copado, Ansible, and other relevant tools. Manage and optimize infrastructure using containerization (Docker) and orchestration (Kubernetes) technologies. Collaborate with development and QA teams to integrate automated testing and ensure high code quality during deployments. Monitor system performance and infrastructure, using tools like Prometheus and Grafana, to identify and resolve issues proactively. Manage and scale cloud-based infrastructure on AWS to support the needs of various applications and services. Implement and maintain version control strategies using Git and integrate with Copado for Salesforce-related deployments. Develop scripts and tools to automate routine tasks and improve efficiency across the DevOps processes. Maintain comprehensive documentation for release processes, infrastructure configurations, and CI/CD pipelines. Stay current with the latest industry trends, DevOps tools, and best practices to continually enhance our capabilities. Skills/Experience: CI/CD Pipeline Management: Copado (Salesforce DevOps) Required 10+ years CI/CD Pipeline Management: Jenkins Desired 10+ years Desired 7+ years AWS DevOps Required 7+ years Automation Tools (Ansible, Terraform) Desired 7+ years Containerization (Docker) Desired 3+ years Orchestration (Kubernetes) Required 7+ years Scripting (Python, Bash, PowerShell) Desired 5+ years Monitoring (Prometheus, Grafana) Required 7+ years Cloud Infrastructure Management (AWS) Required 10+ years Version Control (Git) Required 10+ years Performance Optimization Required 10+ years Problem-Solving Required 10+ years Communication and Collaboration Required 10+ years Security Best Practices Required 7+ years DevOps Tools (Chef, Puppet) AWS Certifications (e.g., AWS Certified DevOps Engineer)

Job Description Job Description Position Title: Systems Specialist Location: 100% On-Site In Undisclosed, NM Reports to: Engineering Manager/Site Lead Position Summary: Step into an exciting and modern company and use your skills for a unique opportunity to support our national security in a mission-critical environment. Our Systems Specialists provide operations and maintenance (O&M) support at an undisclosed customer site in New Mexico supporting a 24x7x365 shift operation. Key Responsibilities: Resolve network, software, and/or hardware anomalies as they occur on a tactical ground processing system Understand and perform system / mission operations Hardware/software troubleshooting Network knowledge and troubleshooting skills File transfer protocols Support onsite integration and system verification efforts of both hardware and software deliveries, while adhering to established configuration management and security controls Work as a team member within a multi-contractor operations environment while embedded with the customer supporting mission operations Qualifications: U.S citizenship and an active Top Secret security clearance w/SCI eligibility and a CI Poly Candidates must have the flexibility to provide support in 12-hour evening/night shifts and day shifts on a 5/5/4 schedule. Ample notice will be given before rotating between shifts, with much of the time on evening/night shifts. DoD 8570 IAT II certification (CCNA Security, GICSP, GSEC, Security+ CE, CND, SSCP) must be obtained within 90 days upon start date A minimum of 2-3 years' relevant experience Preferred Qualifications: DoD 8570 IAT active/current certification (CCNA Security, GICSP, GSEC, Security+ CE, CND, SSCP) Prior military experience as a maintainer and/or operation of a tactical ISR system Bachelor's degree in Engineering, Information Technology, Computer Technology, or related major Experience with the Distributed Common Ground System (DCGS) Systems administration and support on Windows and LINUX operating systems Experience and knowledge of UNIX OS (Linux, Solaris) RPI Group, Inc. is an Equal Employment Opportunity (EEO) Employer.

Job Description Job Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do: The Fleet Reliability Operations team is responsible for the day-to-day provisioning, management and uptime of CoreWeave's ever-expanding fleet of server nodes. Playing a central role in CoreWeave's growth strategy, this team is on the front line for configuration, updates and remote troubleshooting of our highest tier of supercomputing clusters and their networking, delivery platforms and tools dependencies. You will be in a daily battle with the forces of entropy to maximize the number of nodes CoreWeave can deliver to customers. We are seeking curious, creative and persistent problem solvers to join our Fleet Reliability Operations team to help us drive batches of server nodes through our provisioning and validation processes while efficiently and effectively troubleshooting node or cluster problems as they arise. This individual will join a team of committed engineers working to deploy nodes as fast as they can be racked and turned on. Configure and maintain large-scale high-performance supercomputing clusters running state-of-the-art GPUs Troubleshoot hardware and software issues; escalate and coordinate as needed with data center, network, hardware and platform teams to drive resolution Monitor and analyze system performance and take appropriate remediation actions for cloud health Approach your work with flexibility and optimism anticipating shifting business and technical priorities Create and maintain documentation of team processes, knowledge and best practices for system management Think critically about your day-to-day work and work collaboratively to improve team processes and efficiency Participate in oncall rotations which include after hours and weekend work Who You Are: Minimum Qualifications Strong understanding of Linux system administration and internals Ability to troubleshoot hardware and software issues and perform system maintenance tasks consistently and reliably Software development or scripting languages (bash, python, powershell, etc) Preferred Qualifications 2 + years of experience troubleshooting or administering data center or on-prem infrastructure (servers, storage, network or a mix) Grafana, Prometheus, promsql queries or similar observability platforms Data center environments including server racks, HVAC systems, fiber trays Kubernetes administration HPC - administering GPU-related workloads Bachelor's degree in a related field or equivalent experience Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $83,000 to $110,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Job Description About Burro Burro is the leading robotics company in the world by number of robots working outdoors in the field with real customers. Our mission is to free people from tedious work and solve the critical labor shortages faced by farmers and others that work outdoors. To accomplish our mission, we need a world-class, diverse team where everyone feels comfortable sharing their ideas. With this in mind, we strive to create a work environment where every employee can be themselves and express their perspective - this enables us to deliver the most creative and innovative solutions to problems our customers face. Headquartered in Philadelphia with an office in central California, and backed by top Agtech and autonomy investors, including S2G, Catalyst, Translink, Cibus, FPrime, Toyota Ventures, FFVC, Xplorer, and Radicle, Burro was created to solve the labor shortages facing farmers using robotics. Burros can be described as Disney's Wall-E for agriculture and work outdoors, in a 1.0 format. They function, today, as computer vision based autonomous ground vehicles for carrying, towing, and scouting, and are designed to lay the base for the fully autonomous future of work outdoors. We have a growing triple digit fleet deployed in paid commercial use within vineyards, nurseries, berries, and beyond, and demand for our product is accelerating, so we are growing our team. About The Role We are looking for a Senior Robotics Platform Engineer to own the full lifecycle of how our robots are built, provisioned, tested, and updated in the field. This is not a cloud DevOps role; this is a systems infrastructure role rooted in scaling bare-metal Linux environments, and the operational complexity of deploying software to a fleet of autonomous machines in demanding conditions. You will take us from a largely manual, labor-intensive provisioning process to a reliable, scalable, automated, and instrumented pipeline. You will own end-of-line testing, system imaging, hardware bring-up, and the tooling that makes our engineering and support teams faster and more confident. The ideal candidate has built and scaled provisioning systems before, whether for robots, medical devices, automotive systems, industrial IoT, or large-scale enterprise hardware deployments. You understand what it means to image thousands of devices reliably, catch failures before they reach the field, and build infrastructure that manufacturing and support teams can actually use. You will design solutions for the correct scale: avoiding the complexity of a solution that scales to millions, opting for the development speed of a solution that scales to thousands. You are comfortable operating in a system that is actively bootstrapping itself; building or avoiding the infrastructure that would already exist at a larger company. Responsibilities: Design and own the end-to-end provisioning pipeline: from bare-metal OS imaging through hardware configuration, software installation, calibration, and pre-shipment validation. Own provisioning for all robot hardware peripherals: depth cameras, LiDAR and GPS sensors, motor drivers, networking, and other embedded subsystems. Develop end-of-line (EOL) test frameworks and reporting infrastructure, including pass/fail logging, failure diagnostics, and traceability per unit. Collaborate with manufacturing to ensure provisioning tooling is robust, repeatable, and operator-friendly. Support our growing fleet of robots working in real-world environments by developing tooling and runbooks to diagnose, repair, and re-provision units in the field with minimal downtime. Work with R&D to commercialize and deploy new hardware and features reliability in production Build monitoring and logging infrastructure for the provisioning pipeline and runtime environments, to be integrated with dashboards and alerting for fleet-level health. Document all systems, processes, and runbooks Requirements: Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or a related field required. We strongly weigh practical, demonstrable experience over academic credentials; candidates with equivalent industry experience building and shipping hardware systems at scale are encouraged to apply. 5+ years of hands-on experience designing and operating infrastructure for hardware at scale: robotics, autonomous vehicles, medical devices, industrial IoT, or equivalent. Demonstrated experience building provisioning or imaging pipelines for large numbers of physical devices (hundreds to thousands of units). Strong Linux systems administration: kernel configuration, systemd, networking, storage, package management, hardware interfaces. Proficiency with containerization: Docker and/or Podman, container runtime configuration, and image management at the OS level. Scripting and automation fluency in Bash and Python. Experience building or operating end-of-line or hardware acceptance test systems. Ability to work effectively across engineering, manufacturing, and support, and communicate clearly in each context. Nice-To-Haves: Experience with A/B or partition-based update systems and rollback strategies on embedded or edge Linux devices. Experience with configuration management tools such as Ansible for device fleet configuration and runbook automation in an embedded/edge context. Experience with Balena or similar container-based embedded fleet management and delta update systems. Familiarity with ROS, CAN bus, motor controllers, or other robotics-adjacent hardware and software interfaces. Familiarity with custom Linux images, RT kernel configuration, latency tuning, or other hardened/minimal Linux distributions for embedded deployment and understanding of the tradeoffs involved. Perks Competitive salary and benefits package (medical/dental/vision/life insurance) Equity 401K Plan Unlimited PTO Paid parental leave RECRUITERS : We are not accepting agency resumes for this position. Please do not forward or submit resumes through our website or to any of our employees directly. Burro is not responsible for any fees related to unsolicited resumes from recruitment agencies. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Company Description Comtron , part of the MEDFAR group, has been developing healthcare software solutions for laboratories, hospitals, and medical practices across the United States since 1988. Our mission is to help healthcare organizations streamline operations through reliable, customizable technology that improves efficiency and supports better clinical workflows. Our flagship products include: Labgen LIS , a comprehensive Laboratory Information System (LIS) that supports a wide range of laboratory specialties-including biochemistry, microbiology, toxicology, cytogenetics, and pharmacogenetics-while enabling laboratories to automate and tailor their workflows. Medgen , a web-based Electronic Health Record (EHR) designed with clinicians in mind, offering an intuitive interface that simplifies documentation and makes medical note-taking faster and more efficient. Job Description You will work on the Labgen environment . We are looking for a hands-on Site Reliability Engineer / Infrastructure Engineer to own the reliability, security, and continuity of Comtron's Windows- and Linux-based production environment. We are looking for a hands-on Site Reliability Engineer / Infrastructure Engineer to own the reliability, security, and continuity of Labgen's Windows- and Linux-based production environment. You will be responsible for three primary areas: Production infrastructure, availability, and security Backups and disaster recovery Production deployments and hosting environments You will also support infrastructure modernization, technology upgrades, and the potential transition of applicable systems to public or hybrid-cloud environments. The role reports to the Software Development Manager and works closely with the IT Director, Software Development, Quality Assurance, Security, Support, and Finance teams. Key Responsibilities 1) Infrastructure and Reliability Manage the lifecycle of Windows and Linux production servers, including provisioning, configuration, patching, hardening, and decommissioning. Design and maintain high-availability configurations to reduce single points of failure and ensure continuous access to the Labgen platform. Monitor uptime, performance, capacity, resource utilization, and infrastructure costs. Maintain production access controls, firewall rules, certificates, networking, storage, and database connectivity. Maintain network segmentation between production, development, and corporate environments. Coordinate vulnerability assessments, penetration testing, and remediation activities. Manage privately hosted infrastructure and relationships with hardware, software, connectivity, and data center vendors. Support infrastructure purchasing, contract renewals, licensing, and capacity planning. Evaluate infrastructure tools and public or hybrid-cloud solutions, including Azure, AWS, or GCP. 2) Backups and Disaster Recovery Own production backup policies, including scope, frequency, retention, monitoring, and integrity validation. Ensure backups are completed successfully and recovery procedures are regularly tested and documented. Establish and maintain recovery time and recovery point objectives. Maintain and regularly test disaster recovery procedures for hosted systems. Lead improvements following disaster recovery exercises and production incidents. 3) Deployments and Technology Lifecycle Manage staging, UAT, and production hosting environments. Execute production deployments and rollback procedures in coordination with the Software Development team. Coordinate deployment windows, infrastructure changes, and change-management activities. Manage application hosting infrastructure, including Windows Server, Apache, application services, scheduled processes, networking, storage, certificates, and database connectivity. Support CI/CD tooling, deployment automation, and pipeline reliability. Plan and coordinate operating system, database, framework, library, and application dependency upgrades. Assess cloud migration options, application dependencies, risks, and phased modernization strategies. Support proof-of-concept initiatives and ensure proposed solutions meet security, reliability, scalability, compliance, and disaster recovery requirements. Qualifications What we're looking for: 5+ years of experience in Site Reliability Engineering, Infrastructure, DevOps, or a similar role, ideally within a SaaS or regulated environment. Strong hands-on Linux administration experience, including RHEL, CentOS, Ubuntu, or similar environments. Experience administering Windows Server and application-hosting environments. Strong Apache web server administration experience. Experience designing or managing high-availability Linux production environments. Strong knowledge of TCP/IP, DNS, VPNs, firewalls, certificates, and network segmentation. Experience with Azure, AWS, GCP, or hybrid-cloud environments. Experience with enterprise backups, disaster recovery, and production incident management. Strong working knowledge of SQL and relational databases, including query troubleshooting, performance analysis, migrations, upgrades, and connectivity issues. Familiarity with .NET and JavaScript-based application environments. Experience with version control, build and release processes, deployment automation, and CI/CD tools such as Git, CVS, and Jenkins. Experience with access controls, system hardening, firewall management, vulnerability remediation, and infrastructure security. Familiarity with ISO 27001 controls and evidence requirements. Familiarity with HIPAA, HITECH, ONC Health IT Certification requirements, or other U.S. healthcare privacy and security obligations is an asset. Strong incident ownership, documentation, and cross-functional communication skills. Strong written and verbal communication skills in English. Nice to Have Experience working in regulated healthcare environments. Familiarity with laboratory information systems, electronic medical records, or clinical information systems. ISO 27001 Lead Implementer or Auditor certification. Experience with monitoring and observability tools such as Prometheus, Grafana, ELK, Datadog, or SentinelOne. Python or Bash scripting experience. French language proficiency. Familiarity with ISO 27001 controls and evidence requirements. Familiarity with HIPAA, HITECH, ONC Health IT Certification requirements, or other U.S. healthcare privacy and security obligations is an asset. Strong incident ownership, documentation, and cross-functional communication skills. Strong written and verbal communication skills in English. Additional Information Joining Comtron means embarking on a dynamic environment where trust, innovation, quality, and client success guide our days. At Comtron, we promote efficiency and excellence in healthcare with a powerful LIS solution and a fully customizable web-based EHR system, with a complete suite of Revenue Cycle Management services. Entrepreneurial culture; Dynamic and multicultural work environment; Generous health, vision, and dental group insurance coverage (after probation); 2 weeks of paid time off Our office in Great Neck (NY) is accessible by public transit and is a short walk from Great Neck station (Long Island Rail Road). Comtron is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All your information will be kept confidential according to EEO guidelines.

Job Description Job Description Company Description Comtron , part of the MEDFAR group, has been developing healthcare software solutions for laboratories, hospitals, and medical practices across the United States since 1988. Our mission is to help healthcare organizations streamline operations through reliable, customizable technology that improves efficiency and supports better clinical workflows. Our flagship products include: Labgen LIS , a comprehensive Laboratory Information System (LIS) that supports a wide range of laboratory specialties-including biochemistry, microbiology, toxicology, cytogenetics, and pharmacogenetics-while enabling laboratories to automate and tailor their workflows. Medgen , a web-based Electronic Health Record (EHR) designed with clinicians in mind, offering an intuitive interface that simplifies documentation and makes medical note-taking faster and more efficient. Job Description You will work on the Medgen environment . We are looking for a hands-on Site Reliability Engineer / Infrastructure Engineer to own the reliability, security, and continuity of Comtron's Windows- and Linux-based production environment. You will be responsible for three primary areas: Production infrastructure, availability, and security Backups and disaster recovery Production deployments and hosting environments You will also support infrastructure modernization, technology upgrades, and the potential transition of applicable systems to cloud or hybrid-cloud environments. The role reports to the Head of Software Development and works closely with the IT Director, Software Development, Quality Assurance, Security, and Support teams. Key Responsibilities 1) Infrastructure and Reliability Manage the lifecycle of Windows and Linux production servers, including provisioning, configuration, patching, hardening, and decommissioning. Monitor uptime, performance, capacity, and infrastructure costs. Maintain high-availability configurations and resolve production incidents. Manage production access controls, firewall rules, certificates, networking, storage, and database connectivity. Coordinate vulnerability assessments, penetration testing, and remediation activities. Manage infrastructure vendors and support the evaluation of public or hybrid-cloud solutions. 2) Backups and Disaster Recovery Own production backup policies, monitoring, retention, and recovery testing. Establish and maintain RTO and RPO targets. Maintain, document, and regularly test disaster recovery procedures. Lead improvements following incidents and disaster recovery exercises. 3) Deployments and Technology Lifecycle Manage staging, UAT, and production hosting environments. Execute production deployments and rollback procedures. Coordinate deployment windows and infrastructure changes. Support CI/CD tooling and deployment automation. Plan and coordinate operating system, database, framework, library, and application dependency upgrades. Assess cloud migration options, dependencies, risks, and phased modernization strategies. Qualifications What we're looking for: 5+ years of experience in Site Reliability Engineering, Infrastructure, DevOps, or a similar role. Strong hands-on Linux administration experience. Strong Windows Server and IIS administration experience. Experience managing high-availability production environments. Strong knowledge of TCP/IP, DNS, VPNs, firewalls, and network segmentation. Experience with Azure, AWS, GCP, or hybrid-cloud environments. Experience with enterprise backups, disaster recovery, and production incident management. Strong working knowledge of SQL and relational databases. Familiarity with .NET and JavaScript-based application environments. Experience with deployment pipelines, automation, and Microsoft TFS or similar tools. Experience with access controls, system hardening, vulnerability remediation, and infrastructure security. Familiarity with ISO 27001 requirements. Strong written and verbal communication skills in English. Additional Information Joining Comtron means embarking on a dynamic environment where trust, innovation, quality, and client success guide our days. At Comtron, we promote efficiency and excellence in healthcare with a powerful LIS solution and a fully customizable web-based EHR system, with a complete suite of Revenue Cycle Management services. Entrepreneurial culture; Dynamic and multicultural work environment; Generous health, vision, and dental group insurance coverage (after probation); 2 weeks of paid time off Our office in Great Neck (NY) is accessible by public transit and is a short walk from Great Neck station (Long Island Rail Road). Comtron is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All your information will be kept confidential according to EEO guidelines.

Job Description Job Description Description: We are seeking a highly skilled and mission-focused Information Assurance / Security Specialist (ISSO) to support cybersecurity compliance, Assessment & Authorization (A&A) activities, and Authority to Operate (ATO) documentation for designated systems. The ISSO will serve as a key liaison between contractor teams and federal certification authorities, ensuring security requirements are met, risks are communicated, and systems remain compliant with DOE, NNSA, and federal cybersecurity standards. This role requires strong technical acumen, exceptional documentation skills, and the ability to guide and advocate for contractor teams throughout the security lifecycle. Requirements: Key Responsibilities Implement DOE and NNSA cybersecurity policies and procedures for assigned information systems. Lead A&A activities, ensuring systems meet federal and organizational security requirements. Maintain all ATO documentation, including security plans, access control records, and configuration management artifacts. Manage and track POA&M items; assist in completing remediation activities where possible. Conduct risk assessments, identify vulnerabilities, and recommend mitigation strategies. Perform cybersecurity tests and assessments; provide actionable results to the ISSM. Evaluate the security impact of proposed system changes and recommend risk-based solutions. Develop and deliver cybersecurity training based on user roles and responsibilities. Respond to security incidents, document findings, and support incident resolution. Create and maintain security processes, procedures, disaster recovery plans, and incident response plans. Support audits and external reviews; manage findings and drive favorable outcomes. Develop new policies, documentation, and training materials when required, ensuring alignment across contractor and federal stakeholders. Communicate cybersecurity status, risks, and mitigation strategies clearly to leadership and stakeholders. Lead and mentor assigned resources (2 FTEs), ensuring high-quality documentation and successful security outcomes. Required Qualifications Experience supporting A&A/ATO processes within federal environments (DOE/NNSA preferred). Strong understanding of federal cybersecurity frameworks, risk management, and compliance requirements. Ability to create clear, accurate, and technically sound security documentation. Experience supporting audits, external reviews, and POA&M management. Strong communication skills with the ability to brief technical and non-technical stakeholders. Ability to negotiate policy, documentation, and training across diverse stakeholder groups. A notification to prospective applicants that reviews, and tests for the absence of any illegal drug as defined in 10 CFR 707.4, will be conducted by the employer and a background investigation by the Federal government may be required to obtain an access authorization prior to employment, and that subsequent reinvestigations may be required. The position is covered by the Counterintelligence Evaluation Program regulations at 10 CFR part 709, the announcement should also alert applicants that successful completion of a counterintelligence evaluation may include a counterintelligence -scope polygraph examination. As a federal contractor, we are committed to fair and equitable employment practices. We make employment decisions based on job-related qualifications, merit, contract requirements, and legitimate business needs, and prohibit unlawful discrimination in all employment practices As a federal contractor, we comply with Section 503 of the Rehabilitation Act and VEVRAA. No disability-related inquiries will be made prior to a conditional offer of employment, except as permitted by applicable law. Employee Rights Under the National Labor Relations Act (NLRA): As a federal contractor, the Company complies with Executive Order 13496 and informs employees of their rights under the National Labor Relations Act. Information regarding these rights is available at the workplace and from the National Labor Relations Board. This position is covered by the Service Contract Labor Standards (SCLS). Compensation and fringe benefits will be provided in accordance with the applicable U.S. Department of Labor wage determination and any applicable collective bargaining agreement. Medical, dental, vision, and 401k benefits are included with this position.

Job Description Job Description This position is a hybrid role located in Winchester, VA. Relocation to Winchester or a surrounding commutable area is required for candidates not already within commuting distance. Title: Engineering Configuration Manager, Hydrogen Company: Heven AeroTech Location: Winchester, VA - HYBRID FLSA: Exempt Role Summary: The Engineering Configuration Manager for Hydrogen owns the configuration management and documentation backbone of Heven AeroTech's hydrogen generation and fueling technologies, guiding them from engineering development into scalable, repeatable manufacturing. Based at our Winchester, VA facility, this role governs product baselines, change control, and design documentation-ensuring hardware, software, baseline designs, and change histories remain consistent across engineering, production, and field operations. Working cross-functionally with fuel cell engineering, program management, quality, supply chain, and production teams, the Configuration Manager ensures Heven's hydrogen systems transition from concept to the production floor safely, on schedule, and at the cost and quality targets required by our defense and commercial customers. Essential Responsibilities: Bill of Materials (BOMs): Structuring and maintaining multi-level engineering BOMs and manufacturing BOMs, ensuring full traceability down to individual components, raw materials, or sub-assemblies. Change Control Management: Owning the formal end-to-end change management workflow for Engineering Change Requests/Orders (ECR / ECO / ECN), from evaluating a proposed change to routing it through approval and verifying implementation. PLM/PDM System Ownership: Administering product data management and product lifecycle management software (e.g., Windchill, Teamcenter, Arena, Aras) to enforce revision control, access permissions, and workflow rules. Cross-Discipline Alignment: Serving as the central nexus connecting design engineering, supply chain, manufacturing, and quality assurance to prevent "version drift" between design releases and vendor orders. Qualifications & Experience: Required: Bachelor's degree in Mechanical Engineering, Chemical Engineering, Manufacturing Engineering, or a related technical discipline. 5+ years of experience in product lifecycle management, manufacturing engineering, new product introduction (NPI), or a related technology transfer role. Demonstrated experience taking hardware products from engineering prototype through production, including DFM/DFA reviews and stage-gate processes. Working knowledge of BOM structures, engineering change management, and PLM/PDM tooling. Experience reading and working with engineering drawings, P&IDs, and system schematics. Strong project management skills, with the ability to coordinate cross-functional teams across engineering, supply chain, quality, and production. Excellent written and verbal communication skills, with the ability to translate technical detail into clear documentation and decisions for varied audiences. Preferred: Background in energy, aerospace, or defense hardware programs. Familiarity with high-pressure gas systems and relevant codes and standards (NFPA 2, ASME B31.3, CGA). Experience supporting hazard analyses (HAZOP, FMEA). Experience scaling manufacturing at an early-stage or low-rate-initial-production. Familiarity with defense procurement and export control considerations (ITAR/EAR, MTCR) as they relate to production planning. Direct experience with hydrogen generation/electrolyzer technology. Physical Requirements: Prolonged periods of sitting at a desk and working on a computer performing documentation, data entry, and configuration management tasks. Regular use of hands and fingers to operate a computer keyboard, mouse, and other office equipment. Frequent movement between office areas, engineering spaces, and the production/manufacturing floor. Ability to occasionally stand and walk for extended periods while conducting reviews, inspections, or floor coordination. Ability to occasionally lift, carry, and move objects weighing up to 25 pounds (e.g., hardware components, documentation, or equipment). Occasional bending, stooping, kneeling, crouching, or reaching to inspect components, sub-assemblies, or equipment. Sufficient visual acuity to read engineering drawings, P&IDs, system schematics, and detailed technical documentation, both on screen and in print. Ability to communicate clearly and effectively, both verbally and in writing, with cross-functional teams in person and remotely. Ability to work in a manufacturing environment that may include exposure to noise, moving machinery, and high-pressure gas systems, requiring adherence to all safety protocols and use of personal protective equipment (PPE) as required. Ability to wear required PPE (e.g., safety glasses, hearing protection, closed-toe/safety footwear) when on the production floor or in testing areas. May occasionally be required to work extended hours to meet project deadlines or support production schedules. Benefits Overview: Heven AeroTech offers a competitive benefits package designed to support the health, financial security, and overall well-being of our employees and their families. Benefits include medical, dental, and vision coverage, retirement plans, paid time off/sick, and additional protections such as critical illness, hospital indemnity, accident coverage, and short- and long-term disability. Equal Employment Opportunity Statement: Heven AeroTech is an Equal Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic under applicable law. Budgeted Salary Range: $105,000-$135,000 USD

Job Description Job Description Job Title: A/V Lead System Integrator Location: Washington, DC Type: Direct Hire Work Model: Onsite - onsite Security Clearance: US Citizenship and ability to obtain a public trust or higher Responsibilities Lead the design, integration, configuration, and sustainment of enterprise A/V and conferencing systems across all CLIENT facilities Manage and maintain conference room technology, digital signage systems, and executive briefing environments to ensure reliable, high-quality operation Oversee integration of A/V systems with CLIENT's enterprise IT infrastructure, including Microsoft Teams Rooms, network connectivity, and endpoint management Lead planning and execution of A/V infrastructure upgrades, refreshes, and new installations Develop and maintain A/V system architecture documentation, diagrams, and configuration records Evaluate emerging A/V technologies and recommend solutions that align with CLIENT's enterprise environment and mission needs Provide direct, hands-on support for executive-level meetings, briefings, and high-priority events, ensuring seamless A/V performance Coordinate with CLIENT leadership, executive staff, and event coordinators to understand requirements and prepare A/V systems in advance of scheduled engagements Serve as the on-site technical lead for executive briefing center operations and high-visibility events Maintain on-call availability outside core business hours to support executive engagements and priority events as needed Develop and execute pre-event testing and validation procedures to minimize the risk of service interruptions Serve as the primary escalation point for all A/V-related incidents, ensuring timely and effective resolution Diagnose and resolve complex A/V system failures, integration issues, and performance problems independently Coordinate with network, Microsoft infrastructure, and NOC teams to resolve cross-domain A/V incidents Manage the A/V incident lifecycle in the Government ITSM platform, ensuring accurate and complete records Develop and maintain A/V troubleshooting runbooks, escalation procedures, and knowledge base articles Lead, mentor, and supervise A/V systems integration team members Assign and prioritize work across the A/V team in alignment with Sprint commitments and operational priorities Ensure team members are cross-trained and capable of supporting all A/V functions to maintain coverage continuity Conduct quality reviews of team members' work to ensure accuracy, completeness, and adherence to standards Support recruitment, onboarding, and professional development of A/V team personnel Lead integration and administration of Microsoft Teams Rooms and related conferencing technologies across CLIENT facilities Coordinate with the Microsoft Infrastructure team to ensure proper configuration, licensing, and management of Teams-based A/V endpoints Support troubleshooting and resolution of Microsoft Teams-related A/V issues in collaboration with the Microsoft Infrastructure team Stay current on Microsoft Teams Rooms updates, features, and best practices, applying improvements to CLIENT's environment as appropriate Requirements Minimum 6-8 years of hands-on enterprise A/V systems integration and operations experience Demonstrated experience designing, integrating, and managing enterprise-scale A/V environments, including conference room technology, digital signage, and executive briefing systems Proven experience supporting executive-level engagements and high-visibility events in a professional environment Experience integrating A/V systems with Microsoft Teams Rooms and enterprise collaboration platforms Experience in a Federal or private-sector enterprise environment of comparable scale, complexity, and security posture Demonstrated experience leading or supervising A/V technical teams Expert-level proficiency in: Enterprise A/V system design, integration, and operations Conference room technology (e.g., Crestron, Extron, Poly, Cisco, Logitech) Digital signage systems and management platforms Microsoft Teams Rooms configuration and management A/V over IP technologies and transport protocols Display technologies (LED, LCD, projection systems) Audio systems (DSP configuration, microphone arrays, speaker systems) Strong working knowledge of: Enterprise network fundamentals relevant to A/V systems (VLANs, QoS, multicast) Microsoft 365 and Teams administration as it relates to A/V endpoints ITSM platforms (e.g., ServiceNow) IT security principles applicable to A/V systems ITIL 4 change and incident management practices Certified Technology Specialist (CTS) - AVIXA (required) CTS-I (Certified Technology Specialist - Installation) (required) CTS-D (Certified Technology Specialist - Design) (strongly preferred) Additional preferred certifications: Crestron Certified Programmer or equivalent manufacturer certification, Microsoft Teams Rooms certification or equivalent, Extron Control Professional certification, CompTIA Security+ or equivalent System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:

Job Description Job Description SAP Technical Lead North Point Technology is seeking an experienced ERP Technical Lead to provide strategic and technical leadership across global SAP, Oracle, and enterprise application environments. This role focuses on ERP architecture, platform security, integrations, application development, cloud transformation, and operational reliability. The ideal candidate will lead global technical teams and ensure ERP platforms remain secure, scalable, compliant, and aligned with business transformation objectives. Responsibilities: Lead the global ERP technology strategy, architecture, and roadmap across SAP, Oracle, and related enterprise platforms. Manage and support SAP ECC, EWM, GRC, SNC, SRM, Solution Manager, SAP PO, SAP Portals, and Oracle applications. Establish enterprise architecture standards and design scalable, secure, and resilient ERP environments. Own ERP security, user-access governance, Segregation of Duties (SoD), SOX compliance, and audit readiness. Lead SAP and Oracle development, customizations, enhancements, APIs, Fiori/UI5 applications, and technical delivery. Define integration strategies across SAP, Oracle, cloud platforms, EDI, middleware, APIs, and third-party applications. Oversee system performance, monitoring, upgrades, enhancement packs, OSS Notes, vulnerability remediation, and operating system and database migrations. Ensure platform availability, stability, disaster recovery, backup readiness, and operational excellence across global ERP environments. Lead cloud-transformation initiatives and support hybrid-cloud ERP architecture. Drive the adoption of artificial intelligence, machine learning, automation, predictive analytics, and intelligent ERP processes. Gather business requirements and translate them into secure, scalable, and compliant technical solutions. Ensure ERP configurations, custom developments, integrations, and technical processes meet quality, security, and compliance standards. Lead global ERP implementations, plant deployments, acquisitions, divestitures, system conversions, and rollout programs. Manage technology vendors, system integrators, and strategic partners to ensure successful delivery and measurable business value. Lead and mentor global teams of architects, developers, security specialists, database administrators, and platform engineers. Identify technology gaps, operational risks, and improvement opportunities while ensuring timely resolution and proactive risk mitigation. Drive continuous improvement, automation, cost optimization, platform modernization, and technical-debt reduction. Partner with business and IT leaders to align ERP investments with organizational goals and digital-transformation initiatives. Provide governance across ERP application development, including coding standards, architectural compliance, code quality, secure development practices, CI/CD pipelines, and application lifecycle management. Requirements/Qualifications: Bachelor's degree in a business or technical discipline, or at least eight years of equivalent related professional experience. At least 10 years of related professional experience in SAP Basis, SAP Security, and Oracle database administration. Strong experience designing and leading enterprise IT architecture. Expert knowledge of SAP Basis and Security across SAP ECC, EWM, Fiori, PO, GRC, Solution Manager, and SAP Portals. Hands-on experience with SAP HANA implementations, administration, configuration, migrations, and performance troubleshooting. Experience completing SAP implementations, upgrades, enhancement packs, and operating system and database migrations. Experience integrating SAP and Oracle with cloud and enterprise solutions such as SuccessFactors, Concur, Ariba, OneSource, Warehouse Management, and Oracle GoldenGate. Experience supporting high-availability environments and Linux Red Hat Enterprise Linux platforms. Strong knowledge of SAP Solution Manager, including Root Cause Analysis, CCMS, EarlyWatch Alert, technical monitoring, data-volume management, interface monitoring, and business-process monitoring. Experience managing SAP GRC, ERP security, user access, and Segregation of Duties controls. Experience completing at least two end-to-end ERP implementations. Experience designing and supporting disaster recovery, backup, and recovery strategies. Strong knowledge of SAP bolt-on applications and enterprise-system integrations. Extensive SAP Basis administration experience, including Suite on HANA, SAP NetWeaver, and dual-landscape environments. Ability to communicate complex technical information clearly to technical and nontechnical stakeholders. Strong analytical, decision-making, leadership, presentation, and written communication skills. Fluency in written and spoken English. Preferred Qualifications: Master's degree in a business or technical discipline. SAP Administration certification. SAP operating system and database migration certification. Experience supporting ERP platforms in virtualized environments such as VMware. Experience working with structured project-delivery methodologies. Experience gathering requirements and developing process models, functional specifications, and integration-test plans. Experience conducting system testing, integration testing, and user-acceptance testing. Strong understanding of business processes and how they integrate across enterprise systems. Experience mentoring global technical teams and managing complex, cross-functional ERP programs. North Point Technology is THE BEST place to work for curious-minded engineers motivated to support our country's most crucial missions! We focus on long term projects, leveraging the latest technology in support of innovative solutions to solve our customer's most difficult problems. At North Point Technology, EMPLOYEES come first! We value our employees by providing excellent compensation, benefits, and a flexible work-life balance. We strive for a close-knit and open atmosphere where the owners are always directly available to our team members. Come join us! Apply with North Point Technology today! For positions requiring a federal security clearance, your clearance level must be clearly identified on your resume.

Job Description Job Description Founded in 2007 and headquartered in Columbia, Maryland, Synergy ECP is a leading provider of cybersecurity, software and systems engineering and IT services to the U.S. intelligence and defense communities. The company leverages its expertise in data transport solutions, software and systems engineering, and other solutions to deliver critical and innovative capabilities to high-level decision makers that enhance our nation's security. In an ultra-competitive environment, Synergy ECP has thrived by adhering to our name, making sure excellence is displayed by our Employees, to our Customers and by Improving Performance (ECP). It's what sets us apart, enabling us to be an autonomous yet agile business that delivers huge results-showing we're ready to meet our customers' evolving demands. Synergy ECP has earned a client list that includes numerous Fortune 100 companies, in addition to multiple branches of the US government and military services. Configuration Manager Description Responsible for configuration management (CM) of developmental and operational systems. Works on developmental and operational teams to create and maintain configuration baselines (development, test, production, etc.) supporting developmental and operational systems. Uses or recommends automated CM tools to implement CM policies and procedures. Develops or modifies CM plans, policies, and procedures tailored to the complexity and scope of the development or acquisition systems. Implements CM discipline for the entire life cycle of systems from initial requirements/capabilities baselines to system end-of-life. Perform change control and configuration audits. The Configuration Manager (CM) shall possess the following capabilities: -Assist in implementing hardware and software version control processes, policies and procedures -Assist in the use of configuration management tools (e.g. DOORS, Eclipse) to store, track, and manage configuration items -Understand basic concepts, and assist in documenting hardware and software configuration management processes and procedures -Understand basic concepts, assist in maintaining and developing the environment for hardware and software product build, staging, testing and integration -Assist in defining and implementing hardware and software configuration management processes and procedures; such as creating product build scripts and procedures, and integrating those scripts with the hardware and software build process -Implement hardware and software version control processes, policies and procedures -Utilize configuration management tools (e.g. DOORS, Eclipse) to store, track, and manage configuration items -Maintain the CM environment for hardware and software product build, staging, testing and integration -Apply concepts and define and implement hardware and software configuration management processes and procedures, such as creating product build scripts and procedures, and integrate those scripts with the hardware and software build process -Develop hardware and software version control processes, policies and procedures and ensure that they are followed on hardware and software development projects -Serve as an advisor to (or non-voting member of) Government Change Control Board (CCB) -Manage, maintain and develop the CM environment for hardware and software product build, staging, testing and integration -Work independently and defines and implement hardware and software configuration management processes and procedures, such as creating product build scripts and procedures, and integrate those scripts with the hardware and software build process -Ensure hardware and software version control processes, policies and procedures are followed on hardware and software development projects Qualifications: 8 years of CM experience in programs/contracts of similar scope, type, and complexity Bachelor's degree in a technical or business discipline Master's degree may substitute for 2 years of experience (reducing requirement to 6 years) 4 additional years of CM experience may substitute for a Bachelor's degree If supporting a developmental program: 1 year of experience using a source code control system required CLEARANCE REQUIRED: TS/SCI w/ Polygraph Other Requirements: U.S. Citizenship Compensation Spotlight: For this role, our typical salary range starts at $145,000 and stretches up to $160,000. But here's the deal - we're not about capping your potential. We're committed to snapping up the best and brightest, and we're ready to put our money where our mouth is. So, if you're one of the rare exceptions to the status quo with the education, experience, and that extra something special, we're not afraid to go above and beyond to secure your talent. Because for us, it's not just about a salary. It's about the complete rewards package, the culture, and the opportunity to make a real impact. Taking Care of the People Who Take Care of The Nation Compensation: We offer highly competitive compensation that is consistently recognized by our employees as being generous! Health & Retirement: We offer a comprehensive Health Benefits package and 401K Retirement plan so you can take care of yourself and your family both now and in the future. Other health-related benefits include People Partners who will help you navigate both personal and professional worlds, as well as strong wellness related resources offered through our healthcare provider. Education: Individual growth is a priority at Synergy ECP. Employees are encouraged to take advantage of our company-sponsored continuing education program so they can get their degree or that next certification needed to propel them towards the next level. Not sure what's best for your career plans, we'll help you navigate it all! Work/Life Balance: A healthy work/life balance is essential for building and executing your work effectively at Synergy ECP, but it's also necessary to allow you the room to pursue everything you want to develop in your personal life. We offer a generous Paid Time Off benefit and 11 paid holidays a year. Synergy ECP also provides flexible work options that work with your schedule and lifestyle. Philanthropy: With the help of our amazing employees, Synergy ECP participates annually in building awareness, volunteering and contributing to dozens of organizations. We believe that giving back creates a sense of purpose, engagement, and fulfillment. Have a cause you are passionate about? We bet you'll find others here that care about it just as much! Great Corporate Facilities: Come by our corporate office and enjoy a weekly happy hour, take a drive to nearby restaurants, grab a snack or coffee in our café, or utilize our collaborative office space and conference rooms. SkillBridge: Our SkillBridge Program takes the incredible experience our servicemembers already have and shows them how to apply it within corporate environments. We are fanatical about helping our Military! Synergy ECP is committed to providing equal employment opportunities to all qualified individuals. Employment decisions are based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, sex, national origin, religion, age, disability, or any other status protected by applicable law. We welcome candidates from all backgrounds and are dedicated to maintaining a professional and respectful workplace where every employee can succeed.

Job Description Job Description Are you passionate about shaping the future of humanity's presence in space? Lunar Outpost, an industry leader in space robotics and planetary vehicles, invites you to join our team! Lunar Outpost is dedicated to creating a permanent presence in space, while also driving positive impacts here on Earth. We are currently seeking a Configuration Manager to contribute to our mission in a dynamic startup environment. As a Configuration Manager, you will be responsible for monitoring, maintaining, and reporting on the accuracy and completeness of Configuration Item (CI) data. You will also manage the implementation, documentation, and approval of configuration changes, including leading Change Control Board (CCB) meetings. You will develop and enforce configuration management plans (CMPs), including defining, developing, and operating Configuration Management (CM) baselines. Working Conditions / Schedule: This position is required to be onsite Monday, Tuesday, Thursday, and Friday from 9:00 a.m. to 5:00 p.m. Where applicable, employees may work remotely on Wednesdays from 9:00 a.m. to 5:00 p.m. Additional hours may be required based on business needs. Key Responsibilities: Ensure all engineering documentation, drawings, bills of material (BOMs), and as-built configurations are accurately maintained and traceable Interface with systems engineering, supply chain, and quality teams to ensure consistency between hardware configurations and verified designs Manage functional and physical configuration audits (FCAs and PCAs) and prepare required reports and verification documentation Required Qualifications: Bachelor's Degree in Mechanical Engineering, Aerospace Engineering, Computer Science, or related discipline 7+ years of configuration management, DevOps, or Systems Administration in the aerospace or defense industry Experience with Configuration Management tools (Windchill, Bild, Jira, etc), and version control systems Self-motivated, focused, and driven to meet critical deadlines Excellent organization and time management skills Excellent written and oral communication skills U.S. Person Preferred Qualifications: Support compliance with ITAR, export control, and government data management requirements Hands on experience following AS9100 quality requirements and CMMI processes Compensation & Benefits: Compensation level and base salary are competitively structured and thoughtfully determined based on factors such as relevant skills, experience, education, and the scope of the role. Comprehensive health coverage: Medical, dental, and vision benefits, with 70% of premiums covered by the employer Paid time off: Three (3) weeks per year of vacation Retirement plan: Up to 4% employer match on 401(k) contributions Paid holidays: 11 company-recognized holidays Parental leave Educational reimbursement opportunities to support company objectives, continued learning, and career development Lunar Outpost Inc. is an equal opportunity employer. Lunar Outpost Inc. does not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, ethnicity, age, disability, veteran status, genetic information, or any other characteristic protected by applicable law. All employees, including executives and human resources personnel, are expected to conduct themselves with professionalism and treat others with dignity and respect in accordance with this policy.

Cobalt Benefits Group is seeking an Information Security Analyst to help safeguard information assets and technology services across cloud and on-premises environments. The analyst will monitor security controls, investigate alerts, coordinate remediation, and improve the organization's ability to prevent, detect, and respond to cybersecurity risk. The successful candidate will bring practical experience across multiple security domains rather than expertise in a single vendor platform. The role works closely with IT Operations, infrastructure, and application teams in a regulated environment. Security Operations & Incident Response Monitor managed detection and response, endpoint, identity, email, network, cloud, and security analytics platforms for suspicious activity. Triage and investigate alerts; document findings; coordinate containment, remediation, recovery, and post-incident follow-up. Analyze event, identity, endpoint, cloud, application, and network logs to distinguish security incidents from expected activity and false positives. Maintain incident response plans, investigation procedures, escalation paths and case documentation. Cloud, Identity & Secure Access Assess and improve security across public cloud subscriptions, storage, workloads, applications, and hybrid connectivity. Administer identity and access controls including multifactor authentication, conditional access, role-based access, privileged access, service identities, access reviews, and joiner-mover-leaver processes. Support Zero Trust and secure access services for private applications. Partner with administrators and engineers to design secure access for cloud data platforms, application hosting, and future AI-enabled services. Data Protection, Human Risk & Insider Risk Operate data security posture management capabilities to discover sensitive data, excessive access, shadow data, orphaned files, and insecure sharing. Administer data loss prevention controls across email, endpoints, collaboration platforms, cloud services, applications, and file repositories. Support data discovery, classification, information protection, retention, encryption, and remediation workflows for regulated and confidential information. Administer security awareness training, phishing simulations, targeted education, completion tracking, and human-risk reporting. Endpoint, Network & Application Security Support endpoint detection and response, device security, mobile device management, application control, browser protection, and workstation security baselines. Coordinate vulnerability and exposure management across endpoints, servers, network devices, databases, applications, and cloud workloads and prioritize remediation through patching. Assess application and infrastructure changes for secure configuration, logging, access, data protection, and resilience requirements. Monitor security systems, including firewalls, intrusion detection systems, to detect and respond to security incidents in a timely manner. Collaborate on operating system, application, firmware, and security patching; validate remediation and document accepted exceptions. Resilience, Governance & Continuous Improvement Support backup, recovery, immutable storage, business continuity, and disaster recovery security requirements. Maintain policies, standards, procedures, diagrams, and inventories. Contribute to automation and repeatable analysis using scripting, query languages, and workflow integrations. Evaluate emerging security requirements for cloud, software-as-a-service, and AI Agents. Partner with business and technology stakeholders to establish AI governance, security controls, and risk management practices that enable the responsible use of generative AI, AI agents, automation, and machine-to-machine services. Contribute to the organization's AI Risk Management Framework (AI RMF) program by supporting AI inventory management, risk assessments, control validations, policy development, monitoring activities, and ongoing governance reviews. Job Requirements Bachelor's degree in Cybersecurity, Computer Science, Information Technology, or a related field, or equivalent relevant experience. Three to five years of experience in security operations, cloud security, infrastructure security, or a comparable role. Hands-on experience investigating alerts and working across endpoint, identity, email, network, cloud, and data security controls. Experience with vulnerability assessment, remediation tracking, patch management, incident response, and security control validation. Understanding of data discovery, classification, data loss prevention, sensitive-information handling, and insider-risk concepts. Ability to explain technical findings, business impact, and recommended actions to both technical and non-technical audiences. Strong judgment, discretion, documentation, analytical thinking, and the ability to manage multiple priorities. Preferred Qualifications Experience in a regulated environment and familiarity with security or compliance frameworks such as NIST, MITRE ATT&CK, SOC 2, or HITRUST. Experience securing hybrid environments with cloud infrastructure, productivity platforms, on-premises systems, virtualized infrastructure, and software-as-a-service applications. Working knowledge of cloud security, identity governance, and hybrid infrastructure. Familiarity with security information and event management, extended detection and response, cloud security posture management, web application protection, and security orchestration. Experience with scripting or security analytics using PowerShell, query languages, or comparable automation methods. Relevant industry or cloud security certifications Compensation details: 00 Yearly Salary PIa2265b041df4-1463

Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology) 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. Enterprise Platforms Technology (EPTech) comprises many of Capital One's most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. Team: The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels. 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 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 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 2 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 ML software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years of experience optimizing ML algorithms, configurations, and infrastructure 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 3+ 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. 3+ 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) 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). 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 Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 Plano, TX: $179,400 - $204,700 for Machine Learning Engineer 4 Richmond, VA: $179,400 - $204,700 for Machine Learning Engineer 4 San Francisco, CA: $215,200 - $245,600 for Machine Learning 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 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology) 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. Enterprise Platforms Technology (EPTech) comprises many of Capital One's most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. Team: The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels. 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 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 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 2 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 ML software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years of experience optimizing ML algorithms, configurations, and infrastructure 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 3+ 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. 3+ 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) 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). 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 Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 Plano, TX: $179,400 - $204,700 for Machine Learning Engineer 4 Richmond, VA: $179,400 - $204,700 for Machine Learning Engineer 4 San Francisco, CA: $215,200 - $245,600 for Machine Learning 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 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology) 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. Enterprise Platforms Technology (EPTech) comprises many of Capital One's most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. Team: The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels. 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 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 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 2 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 ML software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years of experience optimizing ML algorithms, configurations, and infrastructure 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 3+ 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. 3+ 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) 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). 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 Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 Plano, TX: $179,400 - $204,700 for Machine Learning Engineer 4 Richmond, VA: $179,400 - $204,700 for Machine Learning Engineer 4 San Francisco, CA: $215,200 - $245,600 for Machine Learning 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 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology) 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. Enterprise Platforms Technology (EPTech) comprises many of Capital One's most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. Team: The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels. 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 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 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 2 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 ML software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years of experience optimizing ML algorithms, configurations, and infrastructure 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 3+ 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. 3+ 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) 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). 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 Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 Plano, TX: $179,400 - $204,700 for Machine Learning Engineer 4 Richmond, VA: $179,400 - $204,700 for Machine Learning Engineer 4 San Francisco, CA: $215,200 - $245,600 for Machine Learning 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 Who we are: ITI Engineering is an award-winning supplier of software, hardware, engineering services and products in the aerospace defense industry. ITI designs and manufactures specialized hardware and software products for aerospace and commercial customers in support of the world's leading fighter aircraft. We produce mission support devices, data transfer equipment, cryptographic data transfer systems, servers and firmware for components that are critical support system elements for several of the world's leading fighter aircrafts. We offer: Competitive pay 100% paid medical, dental and vision coverage for you and your dependents as of date of hire 100% paid employee basic life insurance, short-term and long-term disability Quarterly company contributions to a Healthcare Savings Account Opportunity to participate in the 401k and company matching Paid Holidays, Sick and Vacation Time If you are looking for a challenging, rewarding position and the opportunity to join an innovative dynamic team, keep reading! We are currently seeking a Lead Software Engineer to provide technical leadership in the development of software, automation, and infrastructure tooling for advanced military electronics and computing products operating in Windows and Linux environments. This role will work closely with cross-functional engineering teams, program management, business development, customers, and end users in a fast-paced environment where prototypes are developed rapidly. Duties/Responsibilities: Design, develop, test, debug, and maintain systems software, automation, and infrastructure tooling using C/C++, C#, Python, PowerShell, or similar languages. Develop Windows and Linux services, utilities, diagnostic tools, APIs, automation frameworks, and monitoring solutions. Troubleshoot complex issues involving applications, operating systems, virtualization, networking, storage, and hardware. Deploy, configure, automate, and troubleshoot virtualized environments. Lead root-cause analysis and develop permanent software and system improvements to improve reliability and performance. Implement secure configurations, system hardening, vulnerability remediation, and access controls. Collaborate with software, infrastructure, networking, cybersecurity, DevOps, and operations teams. Provide technical leadership to cross-functional development teams and support customer integration, testing, demonstrations, and technical activities. Travel up to 10%, including occasional international travel. Required Skills/Abilities Strong experience with C/C++, C#/.NET, Python, and PowerShell. Strong knowledge of operating systems, virtualization, TCP/IP networking, storage, and system integration. Experience with REST APIs, HTTP, JSON, authentication, and systems integration. Strong troubleshooting, system-level debugging, performance analysis, and root-cause analysis skills. Experience with infrastructure automation, deployment, monitoring, and operational software. Knowledge of cybersecurity practices including vulnerability management, patching, least privilege, and system hardening. Self-motivated, adaptable, and able to work effectively in a fast-paced environment with multiple programs. U.S. Citizen with the ability to obtain and maintain a DoD Secret Clearance. Education and Experience: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Systems Engineering, Aerospace Engineering, or a related engineering field. 7+ years of software development experience in complex Windows/Linux environments. Preferred Qualifications: Experience with high-speed networking (10/25/40/100GbE) and performance tuning. Experience with Docker, Kubernetes, or other container technologies. Experience with NIST, STIGs, CIS Benchmarks, FIPS, CVE remediation, or vulnerability scanning. Experience with WMI/CIM, WinRM, SSH, IPMI, Redfish, iDRAC, or iLO. Physical Requirements: Ability to sit and work on a computer for prolonged periods of time. This position is located at a facility that requires all selected candidates to be U.S. Citizens or lawful permanent residents (green card holders). ITI Engineering is an Equal Opportunity Employer and conducts pre-employment background checks and E-Verify employment authorization verification as part of the hiring process. In compliance with the Drug-Free Workplace Act and federal regulations, employment is contingent upon passing a pre-employment drug screen, and employees will be subject to ongoing, unannounced random drug and alcohol testing.

Job Description Job Description Lead Systems Engineer - Job Description Job Title: Lead Systems Engineer (Req 2) Department: Engineering Reports To: Program Manager and Engineering Director FLSA Status: Exempt / Full-time Salary Range: $125,000 - $175,000 Annually (depending on experience) ROLE We are seeking a senior Lead Systems Engineer to define system architectures, develop and manage requirements, and guide integration and verification activities across multiple interconnected products. This role oversees system-level consistency and performance, ensures alignment to program commitments, and coordinates work across hardware, software, and test teams. The ideal candidate brings extensive experience in military communication systems, strong skills in interface control and lifecycle engineering, and the ability to drive technical execution in a schedule driven environment. Experience with Navy or other DoD programs is highly desirable. RESPONSIBILITIES Lead end to end systems engineering activities across multiple related communication systems, including architecture definition, requirements development, interface management, risk assessment, verification planning, and formal design reviews (SRR, PDR, CDR, PRR/FDR, TRR). Establish, decompose, and maintain system level requirements with full traceability to customer specifications, derived constraints, verification methods, and subsystem allocations. Help coordinate technical execution across internal teams and external suppliers, ensuring consistent system architecture, controlled interfaces, synchronized schedules, and delivery of verified, compliant system capabilities. Develop and maintain key system artifacts such as system block diagrams, ICDs, data flow representations, verification matrices, integration strategies, and detailed test plans. Lead and facilitate technical interchange meetings (TIMs), multi discipline design reviews, peer reviews, and supplier technical performance assessments, with emphasis on verification readiness and test completeness. Collaborate closely with software, hardware, test engineering, manufacturing, configuration management, and program management teams to ensure cohesive system behavior and robust verification coverage across the lifecycle. Provide leadership in configuration control, verification tools, requirements management tools, and continuous improvement of systems engineering processes, particularly around test and verification discipline supporting AS9100-compliant engineering processes. Mentor junior engineers and contribute to the growth, consistency, and maturity of the systems engineering discipline across the organization. REQUIRED SKILLS Strong proficiency in full lifecycle systems engineering for embedded communication systems, with the ability to operate effectively in a fixed price, schedule driven environment while supporting Agile development practices. Hands on experience defining, refining, and maintaining traceable requirements baselines, performing system modeling and analysis, and executing verification in alignment with contractual commitments. Solid background in high-speed serial communication technologies and mixed hardware/software architectures, including integration considerations for embedded processors and high speed communication buses. Demonstrated capability to support architecture definition, system decomposition, design reviews, and configuration controlled updates throughout a HW/SW system's lifecycle. Help manage program and engineering workflows using Jira, including sprint planning, backlog grooming, dashboard/report creation, and cross team coordination to ensure project transparency and execution discipline. Strong understanding of embedded systems, HW/SW integration, interface control, and data driven decision making across complex system interactions. Excellent communication and documentation skills, with the ability to clearly present technical information to customers, program leadership, and cross functional teams. PREFERRED SKILLS Direct experience supporting Navy or other DoD research, development, or acquisition programs. Familiarity with requirements management tools such as Jama, DOORS, or equivalent. Experience coordinating multidisciplinary engineering teams and aligning Agile development activities with fixed price contractual deliverables. Knowledge of environmental qualification standards and test methods, including MIL STD 461/MIL STD 810. Understanding of configuration management practices and modern digital engineering toolchains. QUALIFICATIONS Bachelor's Degree in Systems Engineering, Computer Engineering or related field. Minimum 8 years of relevant experience. US Person required; ability to obtain and maintain a DoD Secret clearance. Position located in Melbourne, FL (not remote).