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Job Title : Senior IT Infrastructure Project Manager Position Overview Lead complex enterprise technology initiatives supporting infrastructure modernization, cloud transformation, cybersecurity, networking, and operational improvements. This senior-level role offers the opportunity to coordinate large-scale technology programs, collaborate with executive leadership and technical teams, manage vendor relationships, and drive effective project governance across multiple concurrent initiatives. The successful candidate will bring extensive enterprise project management experience, strong Jira and Confluence administration capabilities, and a proven track record of delivering infrastructure transformation programs. What You'll Do / Key Responsibilities Lead multiple concurrent IT infrastructure and operations projects involving network, server, cloud, cybersecurity, and technology modernization initiatives. Develop and maintain project plans, schedules, milestones, budgets, risk registers, and project documentation. Coordinate with technical teams, business stakeholders, vendors, external partners, and executive leadership to support successful project delivery. Use Jira to manage project execution, track deliverables and dependencies, and provide program-level reporting and visibility. Administer Confluence spaces and maintain project documentation, knowledge repositories, decision logs, and operational procedures. Manage SharePoint Online sites, project portals, and document repositories to support collaboration, records management, and project governance. Facilitate project meetings, stakeholder reviews, and technical working sessions while tracking action items through completion. Identify and mitigate project risks, issues, and resource constraints, recommending solutions to leadership. Improve project management processes, governance standards, reporting practices, and operational efficiency. Required Qualifications 10+ years of progressive project management experience leading enterprise infrastructure, cloud, data center, network, cybersecurity, and technology modernization initiatives. Active PMP certification. Experience delivering large-scale infrastructure programs and transformation projects involving cross-functional teams, vendors, and executive stakeholders. Advanced Jira usage and administration. Confluence administration and documentation governance experience. Infrastructure and cloud migration experience. Vendor management experience. Experience managing multiple concurrent enterprise programs exceeding $1 million in total project value. Preferred Qualifications SharePoint administration experience, including SharePoint Online sites and document repositories. Azure DevOps experience. Medicaid or healthcare industry experience. State or federal government experience. Microsoft Power Platform experience. ACP, SAFe, or Scrum certification. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.

Job Description Job Description ABOUT ROCKET LAB Rocket Lab is the end-to-end space company building rockets, spacecraft, and critical subsystems that keep the world connected, protected, expand humanity's reach to the Moon, Mars, and beyond. We move fast, build real hardware for meaningful missions, and make the impossible routine. Come shape the future with us. SPACE SYSTEMS At Rocket Lab, we're not just launching rockets - we're building the future of space. Our Space Systems team builds everything from complete spacecraft, precision payloads to the components and subsystems that allow them to thrive in space, like solar panels, flight software, star trackers, optical systems, separation systems, radios, and more. Our Space Systems team has enabled more than 1,700 missions, ranging from interplanetary exploration, in-space manufacturing to national security and defense initiatives. The team has built spacecraft, payloads, and components for missions to the Moon and Mars, working with partners including NASA, the Space Development Agency, and the U.S. Space Force. Whether it's a single high-performance spacecraft, constellation, or the vertically integrated components that help them get to space - our world class Space Systems team is empowering some of the boldest and most ambitious space missions PRINCIPAL SPACECRAFT OPERATIONS ENGINEER I- SECRET CLEARANCE Based on site at Rocket Lab's headquarters in Long Beach, CA the PrincipalSpacecraft Operations Engineer is responsible for ensuring the health, safety, and optimal performance of a growing fleet of satellites while meeting mission objectives and SLAs for both commercial and government customers. This includes supporting diverse missions such as LEO constellations, interplanetary exploration, LEO rendezvous, and SDA-related deployments. Your expertise would be critical during commissioning, orbit raising, routine operations, and potentially re-entry phases, ensuring the health and safety of Rocket Lab's expanding fleet. The Spacecraft Operations team works closely with related teams, such as spacecraft design, AIT, flight software, propulsion, GNC, flight dynamics and ground software development to help improve both the ground and satellite-based capabilities over time. The space operations experience at Rocket Lab is unique because you will cover a multitude of roles/positions and responsibilities, with the large majority of the technical products being supplied through the vertical integration/in-house. WHAT YOU'LL GET TO DO: Serve as the program's mission operations technical lead: set the technical direction and strategy for operations, plan and prioritize the work of the mission operations staff, and act as the primary operations point of contact for program-level design decisions and trades Advocate for operability across the program: influence spacecraft and ground architecture upstream so vehicles are designed to be operated safely, efficiently, and autonomously, and push for changes to program design and execution when operational needs demand it Own mission operations requirements and lead requirements validation and verification for spacecraft missions and system-level capability and function Define the automation strategy and lead the development of robust, software-driven methods for mission operations, testing, and data analysis to ensure efficient, repeatable, and reliable spacecraft operation Design, develop, and test flight software sequences and FDIR/telemetry configurations to ensure spacecraft health and fault management through software-driven processes Architect, develop, and test ground software for long-duration operations, including scripting and automation frameworks that make operations robust, hands-off, and scalable across a growing fleet Establish and steward the integration, testing, and maintenance of mission operations tooling and codebases, including CI, version control, and release discipline. Ensure the on-call or shift schedules of operations Author and own interface specifications, CONOPS, contingency procedures, and other operational design documents Lead validation of flight products and procedures against spacecraft simulation tools, including flatsat, HITL, SIL, and digital twins Support AIT teams across multiple spacecraft integrated tests (TVAC, propulsion stack, DITL Provide program and product support to team leads and program managers, and serve as a key technical interface between the NZ and USA engineering teams Represent mission operations in program milestone reviews, design reviews, and readiness gates, and drive continuous improvement through post-mission lessons learned YOU'LL BRING THESE QUALIFICATIONS AS A PRINCIPALSPACECRAFT OPERATIONS ENGINEER: Bachelor's degree in engineering (software, computer, electrical, aerospace, mechanical, or other technical engineering discipline) 12+ years of direct experience in any of the following: space mission design, satellite subsystems, ground systems, spacecraft command control, or spacecraft operations 5+ years of experience leading teams of engineers through spacecraft missions or related aerospace projects Previous experience in roles such as Mission Lead, Mission Director, Flight Director, or Senior Spacecraft Operations Engineer Previous experience supporting mission operations activities in an on-console or operator-in-the-loop capacity Thorough understanding of key spacecraft subsystems and associated components, including attitude determination and control systems (ADCS), electrical power systems (EPS), space-to-ground communications, command and data handling (C&DH), thermal control systems (TCS), spacecraft propulsion systems, and fault detection, isolation, and recovery (FDIR) Understanding of the space environment, orbital mechanics, and rigid body dynamics 5+ years of direct software development experience (Python/Ruby/C/C++/other high-level languages), covering items such as spacecraft onboard flight scripts, ground scripting and automation, and data manipulation and analysis US citizenship is required due to program requirements THESE QUALIFICATIONS WOULD BE NICE TO HAVE: Master's or PhD engineering in engineering (software, computer, electrical, aerospace, mechanical, or other technical engineering discipline) Prior experience in spacecraft operations Prior experience in satellite system design Prior experience in satellite ground systems Exposure to modern development practices - GIT, CI/CD, cloud infrastructure Proficiency with Agile issue-tracking tools, specifically Jira, for mission task management, status tracking, and bug reporting Software-in-the-Loop (SIL) Testing: Exposure to testing frameworks that simulate software behavior in operational environments. Hardware-in-the-Loop (HIL) Testing: Familiarity with testing frameworks that integrate software and hardware systems. Active Secret or TS/SCI U.S. Government Security Clearance This position may require prolonged periods of sitting, standing, walking, computer work, and occasional exposure to moderate levels of noise, dust, and fumes in production areas Anticipated annual equity grant value is designed around function, level, experience, and other factors; realized value depends on vesting and stock-price performance. Join one of the world's fastest-growing space companies and own a piece of it. In addition to competitive base pay, you'll receive company stock as part of your total compensation package, giving you a direct stake in our success. As we expand to new launch sites, groundbreaking missions, and global markets, your ownership has the opportunity to grow alongside the company. Our comprehensive benefits package includes our industry-leading Employee Stock Purchase Program (with a 15% discount on company stock), top-tier medical plans (HMO, PPO, and a zero cost HDHP option with a significant HSA company contribution), dental and vision coverage, paid vacation and sick time, 11 paid holidays, flexible spending and dependent care accounts, paid parental leave, disability and life insurance, and a 401(k) retirement plan with company match. Additional perks include subsidized EV charging, onsite fitness centers (where available), discounted gym memberships, complimentary snacks and beverages, 50% employee discount on our popular merch store, and a variety of other employee discounts. Level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Total Compensation (base and equity) $280,725-$339,400 USD Base Salary $173,300-$259,850 USD WHAT TO EXPECT We're on a mission to unlock the potential of space to improve life on Earth, but that's not an easy task. It takes hard work, determination, relentless innovation, teamwork, grit, and an unwavering commitment to achieving what others often deem impossible. Our people out-think, out-work, and out-pace. We pride ourselves on having each other's backs, checking our egos at the door, and rolling up our sleeves on all tasks big and small. We thrive under pressure, work to tight deadlines, and our focus is always on how we can deliver, rather than dwelling on the challenges that stand in the way. Important information: FOR CANDIDATES SEEKING TO WORK IN US OFFICES ONLY: . click apply for full job details

Job Description Job Description Overview About M.C. Dean M.C. Dean is Building Intelligence . We design, build, operate, and maintain cyber-physical solutions for the nation's most mission-critical facilities, secure environments, complex infrastructure, and global enterprises. With over 9,000 employees, our capabilities span electrical, electronic security, telecommunications, life safety, automation and controls, audiovisual, and IT systems. Headquarters in Tysons, Virginia, M.C. Dean delivers resilient, secure, and innovative power and technology solutions through engineering expertise and smart systems integration. Why Join Us? Our people are passionate about engineering innovation that improves lives and drives impactful change. Guided by our core values-agility, expertise, and trust-we foster a collaborative and forward-thinking work environment. At M.C. Dean, we are committed to building the next generation of technical leaders in electrical, engineering, and cybersecurity industries. We are seeking a Network Engineer 3 to join our Security and Electronic Systems (SES) business Unit. As part of (SES) Strategic Business Unit you will be part of a team that designs, engineers, integrates, operates and maintains electronic security services inclusive of intrusion detection, access control, biometric authentication, video surveillance, audio visual, it systems, perimeter defense and command and control systems for federal, local and commercial customers across high-growth markets. Responsibilities Technical: Survey Reports measurement results in actionable form to more senior personnel and management. Conducts any surveys, inspections, tours, etc. of client sites, as required Design: Install, configure, and maintain network services, equipment, and devices. Work closely with the field engineers to simulate expected system level performance and provide quick feedback on potential improvement Assist senior network engineers to identify and resolve network security issues. Develop network designs for each SLA classification. Originates design documents for small projects and in support of large programs Assists Senior Engineers in preparation of Designs, including: Narrative Design Documents, Systems Designs, Subsystem Designs (CAD / Panels / Layouts / Wiring / Hardware / Communications) Preparation of Specifications, Perform QA/QC and technical reviews of designs. Comment Resolution Testing & Commission Review / Approval of test plans (Safety / Risk / Manufacturability) Author test plans Leads / supervises testing activities Author testing / commissioning procedures Preparation of test reports Commissioning of deployed systems Development of test fixtures and simulation devices Generates standard PITCO plans and procedures. Design and perform complete system integration test Service & Maintenance: Troubleshoot and debugging complex network problems and recommending operational efficiency improvements Preventative maintenance (software/hardware/firmware upgrades) including security updates, performance upgrades and schedule maintenance. Originate and submit maintenance plan and provide role back plan. Serves as backup for team members during paid time off. Perform hardware / software upgrades and replacements on existing systems Requires ability to support a 24/7 on-call schedule System Analysis and Reporting: Documents the crucial working procedures and troubleshooting of network operations. Employs moderate understanding of network administration as related to business operations. Assists team members in identifying and resolving basic/moderate Network/Telecom issues. Interprets and analyzes results versus established benchmarks and goals. Works with project managers to meet expectations for Network tasks. Completes project tasks and assignments to meet project deadlines. Contributes to own team and closely related teams through quality and accuracy of output. Performing research on available technologies and products as needed by the Operations or Project managers Managerial: Prepares cost estimates and supporting documents for projects Assists senior engineers in preparation of Bids and Proposals cost estimates and supporting documentation Pricing of change orders Assist in developing and adapting documents, procedures, and formal processes for the Network Engineering team members to accomplish Company project planning (PKOM's and gate checks) Collaborates with other disciplines to define work / interfaces. Qualifications Clearance/Citizen Type: Applicants selected will be subject to a government security investigation and must meet eligibility requirements, including U.S. Citizenship, for access to classified information; Active DoD SECRET Clearance is REQUIRED. Education: Bachelor's degree in Engineering, Computer Science, Information Technology (IT) or a related discipline and 5+ years of progressive experience Technical Skills: Understanding of ITIL (Information Technology Infrastructure Library) concepts. Understanding of security issues and implications for network solutions. Knowledge of network concepts, technologies, tools and philosophies, and the ability to design an organization's network infrastructure and services. Knowledge of system development methodology, project management, system architecture an analytical/problem solving skills. Communication Skills: Strong oral, technical writing, and presentation skills Ability to build productive relationships with team members, clients and other network/system stakeholders. Ability to establish working relationships with others outside area of expertise. Behavioral Skills: Must be able to balance high-quality standards with schedule pressures and demanding environment. Must be a resourceful self-starter, flexible, pro-active, solution-oriented and customer-oriented. Preferred Experience: Reading network and connectivity schematics and plans Network system startup, configuration, and calibration Testing and troubleshooting Use of basic electrical and machinist hand tools Use of testing, calibration, or industry-specific tools and software (spectrum analyzer, cable tester, Alignment tool) Tools/Software Ticketing and monitoring toolsets Knowledge of one or more IT/Network platform, such as: Cisco, Aruba, Juniper, or Arista Standard Network Software (Visio, Wireshark, Putty, CLI, etc) Knowledge of Cybersecurity and STIG applications to network systems Abilities: Exposure to computer screens for an extended period of time. Sitting for extended periods of time. Reach by extending hands or arms in any direction. Have finger dexterity in order to manipulate objects with fingers rather than whole hands or arms, for example, using a keyboard. Listen to and understand information and ideas presented through spoken words and sentences. Communicate information and ideas in speaking so others will understand. Read and understand information and ideas presented in writing. Apply general rules to specific problems to produce answers that make sense. Identify and understand the speech of another person.

Job Title: Senior Cybersecurity Engineer / Information Systems Security Engineer (ISSE) Location: Offutt Air Force Base, Nebraska (Onsite) Clearance: Active Top Secret clearance required; must be able to obtain TS/SCI Citizenship: U.S. Citizenship required Job Summary GDIT is seeking a Senior Cybersecurity Engineer / Information Systems Security Engineer (ISSE) to support the U.S. Strategic Command (USSTRATCOM) mission at Offutt Air Force Base, Nebraska. The ideal candidate will have strong experience in cybersecurity engineering, information assurance, system security engineering, and secure architecture design. In this role, you will integrate cybersecurity requirements throughout the system development life cycle, assess system architectures for security risks, develop security documentation, and recommend technical safeguards to protect mission-critical systems and networks in classified environments. Key Responsibilities Translate mission objectives, operational requirements, threats, and security policies into measurable system security requirements and engineering specifications. Integrate cybersecurity requirements throughout the system life cycle, including design, development, integration, testing, deployment, and sustainment. Participate in technical reviews, including requirements reviews, preliminary design reviews, test readiness reviews, and operational readiness reviews. Evaluate system architectures for security, resilience, reliability, interoperability, scalability, and operational supportability. Develop and maintain system security plans, security architecture diagrams, risk assessments, remediation plans, contingency plans, and security test documentation. Design and recommend security controls for identity and access management, privileged access, encryption, key management, network segmentation, endpoint protection, logging, monitoring, backup, and recovery. Conduct threat modeling, attack-surface analysis, security risk assessments, and vulnerability analysis. Support secure network and system architecture design, including firewalls, cryptography, boundary protection, and secure communications. Apply cybersecurity best practices across enterprise systems, applications, cloud platforms, and virtualized environments. Support DevSecOps practices, security automation, and infrastructure-as-code initiatives. Collaborate with systems engineers, cybersecurity teams, program managers, system owners, operations, testing, and sustainment teams. Prepare technical documentation, architecture diagrams, briefings, and engineering recommendations for technical teams and leadership. Required Qualifications Bachelor's degree in a related field or equivalent practical experience. Minimum of 5 years of experience in cybersecurity engineering, information assurance, system security engineering, or security architecture. Active Top Secret security clearance, with the ability to obtain TS/SCI eligibility. U.S. citizenship is mandatory. Strong knowledge of system security, network security, secure architecture, encryption, cryptography, and identity management. Experience developing or analyzing system security requirements and implementing security controls. Knowledge of cybersecurity risk management and NIST security frameworks. Familiarity with secure coding, scripting, or automation using Python, Java, or C++. Strong analytical, problem-solving, communication, and technical documentation skills. ITIL 4 Foundation certification or the ability to obtain it within nine months. Preferred Qualifications Experience with systems engineering and systems security engineering life-cycle processes. Knowledge of Zero Trust architecture, defense-in-depth strategies, ICAM, network segmentation, boundary protection, and system hardening. Familiarity with security frameworks and risk management processes, including NIST standards. Experience with model-based systems engineering (MBSE), SysML, UML, architecture modeling, or digital engineering tools. Experience with enterprise architecture frameworks or Department of War architecture approaches. Knowledge of cyber forensics, intrusion detection, threat analysis, vulnerability management, and incident response. Experience with security tools such as Splunk, Nessus, Wireshark, Nmap, and cloud security platforms. Familiarity with AWS, Microsoft Azure, Google Cloud Platform, virtualization, DevSecOps, and Terraform. Relevant certifications such as CISSP, CISSP-ISSEP, CISSP-ISSAP, GIAC, CEH, or INCOSE ASEP.

Pay Range: $76.25hr - $81.25hr Job Overview: The client is seeking a highly experienced Enterprise Project Manager to lead and coordinate complex technology initiatives supporting a large public-sector healthcare organization. The Project Manager will be responsible for overseeing a portfolio of concurrent infrastructure, cloud, network, cybersecurity, systems, and operational modernization projects that support strategic technology transformation initiatives. The successful candidate will collaborate with executive leadership, technical teams, business stakeholders, vendors, and external partners to ensure successful project delivery while maintaining operational stability and compliance with standards. Scope of the Project: The Project Manager will be responsible for overseeing a portfolio of concurrent infrastructure, cloud, network, cybersecurity, systems, and operational modernization projects that support the organization's strategic technology transformation initiatives. The successful candidate will collaborate with executive leadership, technical teams, business stakeholders, vendors, and external partners to ensure successful project delivery while maintaining operational stability and compliance with organizational standards. The candidate brings 10+ years of enterprise project management experience, demonstrated success leading large-scale infrastructure and cloud transformation initiatives, advanced proficiency with Jira, Confluence, and SharePoint Online, and the ability to rapidly integrate into a fast-paced environment and independently manage complex programs from initiation through implementation. Daily Duties / Responsibilities: Lead multiple concurrent IT Infrastructure & Operations projects, including network, server, cloud, cybersecurity, and modernization initiatives. Develop and maintain project plans, schedules, milestones, budgets, risk registers, and project documentation to ensure successful project delivery. Serve as the primary liaison between technical teams, business stakeholders, vendors, and executive leadership for assigned projects. Utilize Jira to manage project execution, track deliverables, monitor dependencies, and provide program-level reporting and visibility. Create and maintain Confluence spaces, project documentation, knowledge repositories, decision logs, and operational procedures to support governance and knowledge management. Design, manage, and optimize SharePoint Online sites, project portals, and document repositories to support collaboration, records management, and project governance. Facilitate project meetings, stakeholder reviews, technical work sessions, and other project-related meetings while ensuring action items are tracked to completion. Identify, assess, and mitigate project risks, issues, and resource constraints while proactively recommending solutions to leadership. Drive continuous improvement of project management processes, governance standards, reporting practices, and operational efficiencies across the Infrastructure & Operations team. Required Skills: 10+ years of progressive Project Management experience leading enterprise infrastructure, cloud, data center, network, cybersecurity, and technology modernization initiatives. PMP Certification. Jira Administration and advanced usage. Confluence Administration and documentation governance. Infrastructure and cloud migration experience. Vendor management experience. Experience managing multiple concurrent enterprise programs exceeding $1M in total project value. Preferred Skills: SharePoint Administration. Azure DevOps experience. Medicaid / Healthcare experience. State / Federal Government experience. Microsoft Power Platform. Required Education Certifications: PMP Certified. Preferred Certifications: PMI-ACP. SAFe. Scrum Certification. Additional Skills / Duties: Large-scale infrastructure program delivery. Demonstrated success delivering large-scale infrastructure transformation projects involving cross-functional teams, vendors, and executive stakeholders. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Job Description Job Description Overview About M.C. Dean M.C. Dean is Building Intelligence . We design, build, operate, and maintain cyber-physical solutions for the nation's most mission-critical facilities, secure environments, complex infrastructure, and global enterprises. With over 9,000 employees, our capabilities span electrical, electronic security, telecommunications, life safety, automation and controls, audiovisual, and IT systems. Headquarters in Tysons, Virginia, M.C. Dean delivers resilient, secure, and innovative power and technology solutions through engineering expertise and smart systems integration. Why Join Us? Our people are passionate about engineering innovation that improves lives and drives impactful change. Guided by our core values-agility, expertise, and trust-we foster a collaborative and forward-thinking work environment. At M.C. Dean, we are committed to building the next generation of technical leaders in electrical, engineering, and cybersecurity industries. We are seeking a Network Engineer 4 to join our Security and Electronic Systems (SES) business Unit. As part of (SES) Strategic Business Unit you will be part of a team that designs, engineers, integrates, operates and maintains electronic security services inclusive of intrusion detection, access control, biometric authentication, video surveillance, audio visual, it systems, perimeter defense and command and control systems for federal, local and commercial customers across high-growth markets. Responsibilities Technical: Survey Reports measurement results in actionable form to more senior personnel and management. Conducts any surveys, inspections, tours, etc. of client sites, as required Design: Install, configure, and maintain network services, equipment, and devices. Work closely with the field engineers to simulate expected system level performance and provide quick feedback on potential improvement Assist senior network engineers to identify and resolve network security issues. Develop network designs for each SLA classification. Originates design documents for small projects and in support of large programs Assists Senior Engineers in preparation of Designs, including: Narrative Design Documents, Systems Designs, Subsystem Designs (CAD / Panels / Layouts / Wiring / Hardware / Communications) Preparation of Specifications, Perform QA/QC and technical reviews of designs. Comment Resolution Testing & Commission Review / Approval of test plans (Safety / Risk / Manufacturability) Author test plans Leads / supervises testing activities Author testing / commissioning procedures Preparation of test reports Commissioning of deployed systems Development of test fixtures and simulation devices Generates standard PITCO plans and procedures. Design and perform complete system integration test Service & Maintenance: Troubleshoot and debugging complex network problems and recommending operational efficiency improvements Preventative maintenance (software/hardware/firmware upgrades) including security updates, performance upgrades and schedule maintenance. Originate and submit maintenance plan and provide role back plan. Serves as backup for team members during paid time off. Perform hardware / software upgrades and replacements on existing systems Requires ability to support a 24/7 on-call schedule System Analysis and Reporting: Documents the crucial working procedures and troubleshooting of network operations. Employs moderate understanding of network administration as related to business operations. Assists team members in identifying and resolving basic/moderate Network/Telecom issues. Interprets and analyzes results versus established benchmarks and goals. Works with project managers to meet expectations for Network tasks. Completes project tasks and assignments to meet project deadlines. Contributes to own team and closely related teams through quality and accuracy of output. Performing research on available technologies and products as needed by the Operations or Project managers Managerial: Prepares cost estimates and supporting documents for projects Assists senior engineers in preparation of Bids and Proposals cost estimates and supporting documentation Pricing of change orders Assist in developing and adapting documents, procedures, and formal processes for the Network Engineering team members to accomplish Company project planning (PKOM's and gate checks) Collaborates with other disciplines to define work / interfaces. Qualifications Clearance/Citizen Type: Applicants selected will be subject to a government security investigation and must meet eligibility requirements, including U.S. Citizenship, for access to classified information; Active DoD SECRET Clearance is REQUIRED. Education: Bachelor's degree in Engineering, Computer Science, Information Technology (IT) or a related discipline and 7+ years of progressive experience Technical Skills: Understanding of ITIL (Information Technology Infrastructure Library) concepts. Understanding of security issues and implications for network solutions. Knowledge of network concepts, technologies, tools and philosophies, and the ability to design an organization's network infrastructure and services. Knowledge of system development methodology, project management, system architecture an analytical/problem solving skills. Communication Skills: Strong oral, technical writing, and presentation skills Ability to build productive relationships with team members, clients and other network/system stakeholders. Ability to establish working relationships with others outside area of expertise. Behavioral Skills: Must be able to balance high-quality standards with schedule pressures and demanding environment. Must be a resourceful self-starter, flexible, pro-active, solution-oriented and customer-oriented. Preferred Experience: Reading network and connectivity schematics and plans Network system startup, configuration, and calibration Testing and troubleshooting Use of basic electrical and machinist hand tools Use of testing, calibration, or industry-specific tools and software (spectrum analyzer, cable tester, Alignment tool) Tools/Software Ticketing and monitoring toolsets Knowledge of one or more IT/Network platform, such as: Cisco, Aruba, Juniper, or Arista Standard Network Software (Visio, Wireshark, Putty, CLI, etc) Knowledge of Cybersecurity and STIG applications to network systems Abilities: Exposure to computer screens for an extended period of time. Sitting for extended periods of time. Reach by extending hands or arms in any direction. Have finger dexterity in order to manipulate objects with fingers rather than whole hands or arms, for example, using a keyboard. Listen to and understand information and ideas presented through spoken words and sentences. Communicate information and ideas in speaking so others will understand. Read and understand information and ideas presented in writing. Apply general rules to specific problems to produce answers that make sense. Identify and understand the speech of another person.

Job Description Job Description Overview About M.C. Dean M.C. Dean is Building Intelligence . We design, build, operate, and maintain cyber-physical solutions for the nation's most mission-critical facilities, secure environments, complex infrastructure, and global enterprises. With over 9,000 employees, our capabilities span electrical, electronic security, telecommunications, life safety, automation and controls, audiovisual, and IT systems. Headquarters in Tysons, Virginia, M.C. Dean delivers resilient, secure, and innovative power and technology solutions through engineering expertise and smart systems integration. Why Join Us? Our people are passionate about engineering innovation that improves lives and drives impactful change. Guided by our core values-agility, expertise, and trust-we foster a collaborative and forward-thinking work environment. At M.C. Dean, we are committed to building the next generation of technical leaders in electrical, engineering, and cybersecurity industries. We are seeking a Network Engineer 2 to join our Security and Electronic Systems (SES) business Unit. As part of (SES) Strategic Business Unit you will be part of a team that designs, engineers, integrates, operates and maintains electronic security services inclusive of intrusion detection, access control, biometric authentication, video surveillance, audio visual, it systems, perimeter defense and command and control systems for federal, local and commercial customers across high-growth markets. Responsibilities Technical: Survey Reports measurement results in actionable form to more senior personnel and management. Conducts any surveys, inspections, tours, etc. of client sites, as required Review existing network infrastructure designs and onsite conditions Perform analysis of onsite LAN/WAN infrastructure including network utilization, performance issues including switching and routing, security issues / concerns, cabling infrastructure, COMSEC infrastructure, etc. Design: Develop high level network architectures including OV-1 and OV-2 Develop requirements documentation and perform assessments of alternatives for multiple vendors Perform network modeling of proposed designs prior to final architecture and product selections. Determine optimal architectures to include switching architectures, routing protocols, redundancy architectures, secure designs (DMZ, firewalls, IDS/IPS, etc.) Perform testing and assessments of different network hardware and software, both traditional hardware and virtualized appliances. Perform hardware selection for switches, routers, firewalls, load balancers. Install, configure, and maintain network architectures including network equipment, and devices. Determine security architectures including applying vendor and client hardening guides, implement firewall rules and QoS profiles, determine required network services (RADIUS, 802.1x, timing / NTP, etc) Develop automation scripts for deploying zero touch network architectures Stay abreast of current networking technologies including NAAS, SDWAN, Post Quantum cryptography, etc. Work closely with the field engineers to simulate expected system level performance and provide quick feedback on potential improvement Assist senior network engineers to identify and resolve network security issues. Develop network designs for each SLA classification. Originates design documents for small projects and in support of large programs Assists Senior Engineers in preparation of Designs, including: Narrative Design Documents, Systems and Subsystem Designs (CAD / Panels / Layouts / Wiring / Hardware / Communications) Preparation of Specifications, Perform QA/QC and technical reviews of designs. Comment Resolution Testing & Commission Review / Approval of test plans (Safety / Risk / Manufacturability) Author test plans Leads / supervises testing activities Author testing / commissioning procedures Preparation of test reports Commissioning of deployed systems Development of test fixtures and simulation devices Generates standard PITCO plans and procedures. Design and perform complete system integration test Service & Maintenance: Troubleshoot and debugging complex network problems and recommending operational efficiency improvements Preventative maintenance (software/hardware/firmware upgrades) including security updates, performance upgrades and schedule maintenance. Originate and submit maintenance plan and provide role back plan. Serves as backup for team members during paid time off. Perform hardware / software upgrades and replacements on existing systems Requires ability to support a 24/7 on-call schedule System Analysis and Reporting: Documents the crucial working procedures and Troubleshooting of network operations. Employs moderate understanding of network administration as related to business operations. Assists team members in identifying and resolving basic/moderate Network/Telecom issues. Interprets and analyzes results versus established benchmarks and goals. Works with project managers to meet expectations for Network tasks. Completes project tasks and assignments to meet project deadlines. Contributes to own team and closely related teams through quality and accuracy of output. Performing research on available technologies and products as needed by the Operations or Project managers Qualifications Clearance/Citizen Type: Applicants selected will be subject to a government security investigation and must meet eligibility requirements, including U.S. Citizenship, for access to classified information; Active DoD SECRET Clearance is REQUIRED. Education: Bachelor's degree in Engineering, Computer Science, Information Technology (IT) or a related discipline and 2+ years of progressive experience. Technical Skills: Understanding of ITIL (Information Technology Infrastructure Library) concepts. Understanding of security issues and implications for network solutions. Knowledge of network concepts, technologies, tools and philosophies, and the ability to design an organization's network infrastructure and services. Knowledge of system development methodology, project management, system architecture an analytical/problem solving skills. Communication Skills: Strong oral, technical writing, and presentation skills Ability to build productive relationships with team members, clients and other network/system stakeholders. Ability to establish working relationships with others outside area of expertise. Behavioral Skills: Must be able to balance high quality standards with schedule pressures and demanding environment. Must be a resourceful self-starter, flexible, pro-active, solution-oriented and customer-oriented. Preferred Experience: 5+ years recent hands on experience building, deploying, maintaining, and troubleshooting network architectures and experience sustaining production network environments Use of Visio and/or AutoCAD for developing network architecture diagrams Experience with Ansible, Terraform, Cisco Catalyst Center, Cisco ISE, Microsoft NPS, Juniper Security Director, Reading network and connectivity schematics and plans Network system startup, configuration, and calibration Testing and troubleshooting Use of basic electrical and machinist hand tools Use of testing, calibration, or industry-specific tools and software (spectrum analyzer, cable tester, Alignment tool) Tools/Software Ticketing and monitoring toolsets Knowledge of one or more IT/Network platform, such as: Cisco, Aruba, Juniper, or Arista Standard Network Software (Visio, Wireshark, Putty, CLI, etc) Knowledge of Cybersecurity and STIG applications to network systems Abilities: Exposure to computer screens for an extended period of time. Sitting for extended periods of time. Reach by extending hands or arms in any direction. Have finger dexterity in order to manipulate objects with fingers rather than whole hands or arms, for example, using a keyboard. Listen to and understand information and ideas presented through spoken words and sentences. Communicate information and ideas in speaking so others will understand. Read and understand information and ideas presented in writing. Apply general rules to specific problems to produce answers that make sense. Identify and understand the speech of another person.

Job Description Job Description Job Description: Role: Network Security Consultant Location: Salisbury, NC (Onsite) Duration: 12 Months Experience required: 8 years Role Summary: The ideal candidate will have deep experience of networking technologies, such as Routing and switching, Firewalls, proxy, GNAC, IDS/IPS, routing, switching, managing heterogeneous environment & generate metrics related to Security, Network performance, capacity, availability, failure rates, and will also have a strong background in network performance management, service delivery and strategic operations planning with a strong technical orientation & creative in problem solving. Responsibilities: Independently own the Security Infrastructure support solving complex issues and suggest design modifications as appropriate. Ensure SLAs are met - Responsible for performance analysis, proactive troubleshooting, and capacity planning for the Security platforms. Perform monitoring and maintenance of overall environment working with experienced team members. Perform change controls. Update process documentation and team portals Participate in troubleshooting, capacity planning and analysis, performance analysis & Root Cause Analysis. Communicate with peers and managers regarding system issues & participate in 24x7 on-call. Automate operational tasks to make processes simpler and more robust. Ability to handle multiple complex tasks in a dynamic environment, with tight deadlines concurrently. Refresh heat-maps and operations plans for campus network Security connectivity Monitor and analyze statistical data to develop improvement plans for network Security and application performance Provide an effective network Security capacity plan Develop and monitor global weekly and monthly trending reports by business sectors to justify future growth Required Qualifications: Minimum 5 years of working in a Network / Telecommunications role, with expert level experience with Routing and Switching, Firewall Management, Proxy Management, IDS/IPS Management, NAC Management, SD-WAN, VPN, Firewalls, etc technologies Experience with technologies Forti Manager, Forti Analyzer, Fortinet Firewalls and Fortinet SD-WAN is must. Hands on experience with Azure Enterprise-scale reference architecture Infrastructure as Code (IaC) experience - scripting and automation via AZ CLI/PowerShell, Bash, Bicep, JSON templates etc. Policy as Code (Client) experience Well versed in Azure cloud Security native security tools and network technologies Experience in creating architecture patterns for public cloud and cloud-native solutions Experience with assessments of cloud security. Hands on experience with IaC tools like, ARM, terraform, ansible, PowerShell, python, azcli, github. Working experience in any public (Azure, GCP, Oracle, Aws or others) or hybrid cloud Experience on Cloud native or third-party firewalls on cloud Knowledge and education: Bachelor's degree in computer science, Information Technology, Engineering, or related field 5 years of experience designing and planning Azure environments in enterprise environments including application dependencies, client presentation mechanisms, network con Additional Responsibilities Include: Oversees and directs all aspects of the 24/7/365 mission critical network/telecommunication infrastructure operations, including planning, supporting, and maintaining functions Serves as the senior-level escalation point for cloud security operations to resolve critical incidents Maintains policy and procedures manual, conducts monthly service review meetings with key stakeholders Provides leadership, management, direction, and technical oversight for the network Security operations department

Senior Manager, Machine Learning Engineer (People Leader) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers Recruit, nurture, and retain top engineering talent Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems At least 1 year of people leadership experience Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years of experience managing and leading an ML engineering team 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Manager, Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Manager, Machine Learning Engineer Plano, TX: $209,000 - $238,500 for Sr. Manager, Machine Learning Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Manager, Machine Learning Engineer 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).

The Opportunity MassMutual's AI Platform Engineering team is seeking an impact-driven AI Platform Engineer, to apply the AI platform where it matters most: improving how MassMutual builds and runs technology. Embedded directly with IT teams across the portfolio, you will diagnose where engineering and operational effort goes, design and hands-on deliver AI-enabled solutions across the full software development lifecycle, including cybersecurity, and prove the results with data. You will pair enterprise-level strategy with deep implementation skill, turning what you learn in the field into reusable patterns and platform capabilities. The Team This is a unique opportunity to work on the team that builds and operates the platform powering MassMutual's AI initiatives. The team operates at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, and shared technical standards. This team is defined by a shared commitment to engineering excellence, clear documentation, and the kind of technical leadership that makes hard problems tractable. The Impact Embed with IT portfolio teams and deliver outcomes hands-on-work shoulder to shoulder with engineering and operations teams, moving quickly from discovery to working solution to production, in their real environments, toolchains, and constraints. Apply the AI platform across the full SDLC-requirements and design, code generation and review, test automation, CI/CD, release, legacy modernization, and production support-to measurably improve build and run efficiency. Build and ship the hard parts yourself-agentic workflows, integrations with existing engineering and operations toolchains, evaluation harnesses, and automation-then package successes into reusable accelerators, playbooks, and reference implementations other teams can adopt. Embed security and responsible AI into every engagement-threat modeling for AI use cases, secure pipelines, access and secrets management, software supply chain integrity, audit logging, and human-in-the-loop controls. Translate governance and compliance requirements (e.g., NIST AI RMF, OWASP LLM Top 10) into practical controls teams can adopt without slowing delivery. Define the AI-enabled engineering strategy for the IT portfolio-assess workflows across teams, prioritize opportunities by measurable value, and translate them into a sequenced roadmap with clear business cases. Establish baselines and measure results-define build and run efficiency metrics (e.g., cycle time, deployment frequency, quality, toil, incident volume, time to resolve, and cost), track adoption and return, and report outcomes to senior IT leadership. Serve as the senior technical escalation point for the most complex adoption and integration challenges across teams. Run design reviews, provide deep technical feedback, and pair with engineers on the gnarliest problems. Close the loop with platform engineering-translate field learnings into prioritized capability requests, ADRs, and design input that improve the platform, without owning core platform build. Drive adoption through influence-lead change with directors and engineering leaders across the portfolio, communicate technical trade-offs clearly to technical and executive audiences, and represent the platform to senior stakeholders. Raise the technical bar across the organizationby mentoring leads and senior engineers, running enablement and communities of practice, and setting the standard for AI-assisted engineering-without managing anyone directly. The Minimum Qualifications 12+ years total experience in software engineering, DevOps/platform engineering, SRE, security engineering, or solutions engineering, including 5+ years at lead, staff, or principal level with multi-team or enterprise-wide technical scope. Proven record of delivering measurable build and run efficiency gains in large, complex IT environments-from strategy through hands-on implementation. Forward-deployed or customer-facing engineering experience: embedding with teams, running discovery, shaping ambiguous problems into working solutions, and driving adoption with teams you do not manage. Hands-on experience applying LLMs and agentic AI to software delivery and operations-AI-assisted development, code review, test generation, workflow automation, and AI-enabled operations-including prompt and context engineering, evaluation, and integration with enterprise APIs. Strong DevSecOps and SDLC fluency: CI/CD, IaC and GitOps, automated testing, observability, incident and change management, and secure-by-design practices (static, dynamic, and dependency scanning, secrets management, SBOM). Working knowledge of cloud-native architecture and AI infrastructure-containers, Kubernetes, managed cloud and AI services, model APIs and gateways, identity, and networking-sufficient to integrate, troubleshoot, and advise. Deep experience building AI platforms from scratch is not required. Experience designing security and governance controls for AI or data-sensitive systems in a regulated environment. Ability to balance strategy and implementation: set direction at the portfolio level and personally build, debug, and ship. Strong written and verbal communication: clear design docs and ADRs, and executive-level presentation skills for both engineers and non-technical stakeholders. The Ideal Qualifications Prior forward-deployed, solutions engineering, customer success engineering, or internal consulting experience. Legacy modernization or large-scale migration experience using AI-assisted approaches. AIOps, observability, and IT service management automation experience that reduces toil and time to resolve incidents. Strong grasp of AI safety, model evaluation, red-teaming, and governance frameworks (e.g., NIST AI RMF, ISO/IEC 42001). Developer-productivity and engineering-metrics experience (e.g., DORA, SPACE), with the ability to build a business case and demonstrate ROI. FinOps or AI cost optimization experience across large AI workloads. Ability to lead through technical credibility, influencing design decisions, driving alignment, and raising quality without formal authority. Relevant certifications (cloud, Kubernetes, or security) and open-source contributions, publications, or conference talks. Comfort with ambiguity: energized by undefined problem spaces, with a habit of building clarity and shared context where there isn't any. What to Expect as Part of MassMutual and the Team Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits. MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

Senior Manager, Machine Learning Engineer (People Leader) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers Recruit, nurture, and retain top engineering talent Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems At least 1 year of people leadership experience Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years of experience managing and leading an ML engineering team 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Manager, Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Manager, Machine Learning Engineer Plano, TX: $209,000 - $238,500 for Sr. Manager, Machine Learning Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Manager, Machine Learning Engineer 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).

Senior Manager, Machine Learning Engineer (People Leader) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers Recruit, nurture, and retain top engineering talent Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems At least 1 year of people leadership experience Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years of experience managing and leading an ML engineering team 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Manager, Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Manager, Machine Learning Engineer Plano, TX: $209,000 - $238,500 for Sr. Manager, Machine Learning Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Manager, Machine Learning Engineer 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).

Genesis10 is currently seeking a Technical Program Manager for a hybrid position with a Major Financial Institution located in Charlotte, NC. This is a 12 month contract opportunity. This role leads the planning, coordination, and governance of cloud disaster recovery testing activities across a large portfolio of applications. The ideal candidate will ensure that recovery exercises are executed according to resiliency standards and regulatory requirements, driving stakeholder alignment and issue resolution to ensure successful test outcomes. Responsibilities: Manage and coordinate disaster recovery testing for multiple cloud-hosted applications, ensuring testing activities are planned, scheduled, executed, and documented in accordance with program requirements Partner with application owners, cloud engineering, infrastructure, cybersecurity, business continuity, and business stakeholders to establish testing scope, objectives, recovery scenarios, and success criteria Develop and maintain integrated testing schedules, project plans, milestones, dependencies, risks, issues, and remediation tracking across a large application portfolio Facilitate test planning meetings, readiness reviews, test execution bridges, post-test reviews, and governance forums Coordinate recovery validation activities and ensure achievement of established RTO, RPO, and resiliency objectives Track testing compliance, evidence collection, documentation quality, action plans, and regulatory readiness requirements Communicate testing status, risks, issues, and recovery results to senior management and executive stakeholders through regular reporting and governance updates Drive cross-functional coordination to resolve testing challenges, resource constraints, dependency impacts, and scheduling conflicts Support continuous improvement initiatives related to cloud resiliency, recovery automation, testing standards, and governance processes Maintain accurate inventory, testing metrics, dashboards, and program reporting for dozens of applications across multiple testing cycles Requirements: Proven experience in IT Project Management, Technical Program Management, Disaster Recovery, Technology Resilience, Infrastructure Operations, or Technology Governance Strong understanding of cloud technologies, disaster recovery principles, application recovery testing, business continuity concepts, and operational resilience frameworks Demonstrated ability to manage multiple concurrent workstreams, stakeholders, and project dependencies within a complex technology environment Experience developing and maintaining project plans, status reporting, risk management artifacts, executive communications, and governance documentation Proficiency with project and workflow management tools such as Microsoft Project, Smartsheet, Jira, ServiceNow, and SharePoint Excellent communication, organizational, stakeholder management, and facilitation skills Desired skills: Experience within financial services, regulated industries, or large-scale enterprise technology organizations PMP, Agile, Scrum, ITIL, Business Continuity, or related certification Pay range up to: $51.14 per hour Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20 years. The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years. Access to an experienced, caring recruiting team (more than 7 years of experience, on average.) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

The Opportunity MassMutual's AI Platform Engineering team is seeking an impact-driven AI Platform Engineer, to apply the AI platform where it matters most: improving how MassMutual builds and runs technology. Embedded directly with IT teams across the portfolio, you will diagnose where engineering and operational effort goes, design and hands-on deliver AI-enabled solutions across the full software development lifecycle, including cybersecurity, and prove the results with data. You will pair enterprise-level strategy with deep implementation skill, turning what you learn in the field into reusable patterns and platform capabilities. The Team This is a unique opportunity to work on the team that builds and operates the platform powering MassMutual's AI initiatives. The team operates at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, and shared technical standards. This team is defined by a shared commitment to engineering excellence, clear documentation, and the kind of technical leadership that makes hard problems tractable. The Impact Embed with IT portfolio teams and deliver outcomes hands-on-work shoulder to shoulder with engineering and operations teams, moving quickly from discovery to working solution to production, in their real environments, toolchains, and constraints. Apply the AI platform across the full SDLC-requirements and design, code generation and review, test automation, CI/CD, release, legacy modernization, and production support-to measurably improve build and run efficiency. Build and ship the hard parts yourself-agentic workflows, integrations with existing engineering and operations toolchains, evaluation harnesses, and automation-then package successes into reusable accelerators, playbooks, and reference implementations other teams can adopt. Embed security and responsible AI into every engagement-threat modeling for AI use cases, secure pipelines, access and secrets management, software supply chain integrity, audit logging, and human-in-the-loop controls. Translate governance and compliance requirements (e.g., NIST AI RMF, OWASP LLM Top 10) into practical controls teams can adopt without slowing delivery. Define the AI-enabled engineering strategy for the IT portfolio-assess workflows across teams, prioritize opportunities by measurable value, and translate them into a sequenced roadmap with clear business cases. Establish baselines and measure results-define build and run efficiency metrics (e.g., cycle time, deployment frequency, quality, toil, incident volume, time to resolve, and cost), track adoption and return, and report outcomes to senior IT leadership. Serve as the senior technical escalation point for the most complex adoption and integration challenges across teams. Run design reviews, provide deep technical feedback, and pair with engineers on the gnarliest problems. Close the loop with platform engineering-translate field learnings into prioritized capability requests, ADRs, and design input that improve the platform, without owning core platform build. Drive adoption through influence-lead change with directors and engineering leaders across the portfolio, communicate technical trade-offs clearly to technical and executive audiences, and represent the platform to senior stakeholders. Raise the technical bar across the organizationby mentoring leads and senior engineers, running enablement and communities of practice, and setting the standard for AI-assisted engineering-without managing anyone directly. The Minimum Qualifications 12+ years total experience in software engineering, DevOps/platform engineering, SRE, security engineering, or solutions engineering, including 5+ years at lead, staff, or principal level with multi-team or enterprise-wide technical scope. Proven record of delivering measurable build and run efficiency gains in large, complex IT environments-from strategy through hands-on implementation. Forward-deployed or customer-facing engineering experience: embedding with teams, running discovery, shaping ambiguous problems into working solutions, and driving adoption with teams you do not manage. Hands-on experience applying LLMs and agentic AI to software delivery and operations-AI-assisted development, code review, test generation, workflow automation, and AI-enabled operations-including prompt and context engineering, evaluation, and integration with enterprise APIs. Strong DevSecOps and SDLC fluency: CI/CD, IaC and GitOps, automated testing, observability, incident and change management, and secure-by-design practices (static, dynamic, and dependency scanning, secrets management, SBOM). Working knowledge of cloud-native architecture and AI infrastructure-containers, Kubernetes, managed cloud and AI services, model APIs and gateways, identity, and networking-sufficient to integrate, troubleshoot, and advise. Deep experience building AI platforms from scratch is not required. Experience designing security and governance controls for AI or data-sensitive systems in a regulated environment. Ability to balance strategy and implementation: set direction at the portfolio level and personally build, debug, and ship. Strong written and verbal communication: clear design docs and ADRs, and executive-level presentation skills for both engineers and non-technical stakeholders. The Ideal Qualifications Prior forward-deployed, solutions engineering, customer success engineering, or internal consulting experience. Legacy modernization or large-scale migration experience using AI-assisted approaches. AIOps, observability, and IT service management automation experience that reduces toil and time to resolve incidents. Strong grasp of AI safety, model evaluation, red-teaming, and governance frameworks (e.g., NIST AI RMF, ISO/IEC 42001). Developer-productivity and engineering-metrics experience (e.g., DORA, SPACE), with the ability to build a business case and demonstrate ROI. FinOps or AI cost optimization experience across large AI workloads. Ability to lead through technical credibility, influencing design decisions, driving alignment, and raising quality without formal authority. Relevant certifications (cloud, Kubernetes, or security) and open-source contributions, publications, or conference talks. Comfort with ambiguity: energized by undefined problem spaces, with a habit of building clarity and shared context where there isn't any. What to Expect as Part of MassMutual and the Team Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits. MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

Job Description Job Description OUR COMPANY: EOS IT Solutions is a Global Technology and Logistics company, providing Collaboration and Business IT Support services to some of the world's largest industry leaders, delivering forward-thinking solutions based on multi-domain architecture. Customer satisfaction and commitment to superior quality of service are our top business priorities, along with investing in and supporting our partners and employees. We are a true International IT provider and are proud to deliver our services through global simplicity with trusted transparency. WHAT YOU WILL DO: We are seeking a highly skilled and hands-on Data Center Field Operations Lead to oversee and support operations within our data center environments. This role requires deep technical expertise in diagnosing and resolving hardware and network issues, and leading a team of technicians in delivering high-quality, SLA-driven support. Reporting to the Service Manager, this role coordinates workload, manages escalations, supports staff development, and partners with site leadership and cross-functional teams. The ideal candidate will be proficient in using Command Line Interfaces (CLI) for diagnostics, managing escalations, and ensuring the consistent delivery of services across a range of server, storage, and network hardware platforms. KEY RESPONSIBILITIES: Directly manages technician team members at the assigned site, including regular 1:1 meetings, performance feedback, coaching, professional development, onboarding, training, and accountability. Coordinates daily support operations, including workload distribution, ticket queue oversight, staffing coverage, escalation triage, adherence to support processes, and service expectations. Approve timecards accurately and on time for error-free billing. Lead network operations across server, storage, and network hardware platforms, ensuring timely and effective resolution of hardware failures. Perform advanced diagnostics using CLI tools (e.g., Cisco IOS, NX-OS, Linux shell) to identify and resolve system and network issues. Oversee physical hardware repair, including component-level replacements (e.g., drives, memory, NICs, PSUs, fans, motherboards). Troubleshoot Layer 1-3 network issues, including port failures, link flaps, and misconfigurations. Coordinate with OEM vendors for RMA processes, part replacements, and warranty claims. Maintain and update documentation for incident resolution, root cause analysis, and repair procedures. Manage ticket queues and ensure SLA adherence through effective prioritization and escalation. Provide technical leadership and mentorship to junior technicians, ensuring adherence to best practices and safety protocols. Collaborate with cross-functional teams to support infrastructure upgrades, migrations, and maintenance windows. Ensure compliance with MOPs and CMOPs, and contribute to their development and continuous improvement. ESSENTIAL CRITERIA: Associate degree or higher in a technical discipline or equivalent hands-on experience in data center operations or IT support. 5+ years of experience in IT support, hardware diagnostics, and repair in enterprise environments. 2+ years of people management, supervisory, team lead, mentoring, or equivalent experience demonstrating increasing responsibility. (Required). Strong proficiency with CLI-based tools and environments (e.g., Cisco CLI, Linux/Unix shell, iDRAC, iLO). Demonstrated experience in troubleshooting and repairing server, storage, and network hardware. Familiarity with network protocols and tools (e.g., ping, traceroute, netstat, SNMP, syslog). Excellent problem-solving skills and ability to work under pressure in high-availability environments. Strong communication and leadership skills with a customer-focused mindset. Valid driver's license and ability to travel between data center sites as needed. DESIRABLE CRITERIA: Experience managing a technical support team in a multi-site environment. (Preferred) Industry certifications such as CompTIA Server+, Cisco CCNA, Dell EMC, or equivalent vendor-specific credentials. Experience with ticketing systems (e.g., ServiceNow, Remedy) and asset management platforms. Familiarity with scripting for automation (e.g., Bash, Python) is a plus. Experience working in a 24/7 operational environment with on-call responsibilities. PHYSICAL REQUIREMENTS: Ability to frequently exert force equivalent to lifting up to approximately 50 pounds and occasionally up to 100 pounds. Clarity of vision at 20 inches or less and more than 20 inches, and ability to adjust focus. Three-dimensional vision, ability to judge distances and spatial relationships. Ability to identify colors and give and receive information through speaking and listening skills. Regular requirements to sit, use hands and fingers, handle objects, tools, or controls; and reach with hands and arms. Frequent need to stand and walk; occasional need to climb, balance, stoop, kneel, crouch, or bend. EOS BENEFITS: At EOS IT Solutions, we are committed to supporting the well-being and success of our team. Our comprehensive benefits package includes: Health, Vision, and Dental Insurance starting the 1st of the month after your start date. Meals, snacks, drinks, and desserts provided 10 Days of Paid Time Off (PTO) annually 12 Paid Holidays 6 Sick Days (available after 90 days of employment) 401(k) Retirement Plan with a $2,500 company match (available after 90 days of employment) The EOS pay range for this job is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, experience, education, knowledge, skills, and abilities, as well as internal equity, market data, or other laws. EOS is committed to creating a diverse and inclusive work environment and is proud to be an equal opportunity employer. We invite you to consider opportunities at EOS regardless of your gender; gender identity; gender reassignment; age; religious or similar philosophical belief; race; national origin; political opinion; sexual orientation; disability; marital or civil partnership status or other non-merit factor. Pay Range $87,500-$92,500 USD

Machine Learning Engineer 4 (Manager, IC) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams 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 or Machine Learning 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 Machine Learning 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. Chicago, IL: $179,400 - $204,700 for Machine Learning Engineer 4 New York, NY: $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 Title: Product Owner /Manager, Contact Center Modernization (Amazon Connect Migration) Location: Remote Job Type: C2C/W2/1099 Job Description: Position Summary We are seeking a seasoned Senior Product Manager to lead the strategic migration of our legacy contact center platforms (e.g., Avaya) to Amazon Connect, with a specific focus on healthcare payer operations. This role will be responsible for delivering scalable, cloud-native, and intelligent contact center solutions that enhance member and provider engagement, improve operational efficiency, and ensure compliance with healthcare industry standards. The ideal candidate will have a strong background in healthcare payer environments, deep experience with contact center technologies, and a proven ability to drive digital transformation initiatives in regulated industries. Key Responsibilities Lead the end-to-end migration of legacy contact center systems (e.g., Avaya, Cisco) to Amazon Connect, from discovery and planning through execution and rollout. Define and execute the product strategy and roadmap for contact center modernization, aligning with enterprise goals, user needs, and compliance requirements. Collaborate with IT, telephony/voice infrastructure teams, business operations, clinical teams, and customer service leadership to define functional and technical requirements. Serve as the primary voice of the customer (members, providers, internal users) in developing contact center features, IVR flows, routing logic, and integration with downstream systems (e.g., CRMs, case management tools, claims systems). Evaluate and optimize customer journeys across voice and digital channels (chat, SMS, email), ensuring seamless and empathetic support experiences. Leverage AWS ecosystem tools (e.g., Lex, Lambda, Connect Flows, Contact Lens) to enable smart routing, automation, sentiment analysis, and real-time analytics. Develop and track key KPIs and performance metrics (e.g., average handle time, NPS, first call resolution, abandonment rates) to ensure quality and efficiency. Own vendor relationships, contracting, and governance for telephony, transcription, workforce management, and analytics tools. Champion agile methodologies, backlog prioritization, and sprint execution across cross-functional teams. Drive change management, training, and adoption strategies across operational teams to ensure successful platform transition. Required Qualifications 7+ years of product management experience, with at least 3 years leading initiatives in contact center platforms or voice automation within a healthcare payer setting. Strong understanding of healthcare call center operations, including member services, provider support, care management, and utilization review. Proven experience with Amazon Connect migration projects, including integration with AWS services, telephony architecture, and IVR design. Solid knowledge of HIPAA, PHI handling, and security best practices in cloud communications. Experience with voice UX, IVR design, and contact center reporting/analytics. Strong business and technical acumen with the ability to translate complex requirements into clear user stories and product features. Demonstrated success influencing cross-functional teams, executive stakeholders, and vendor partners. Expertise in agile frameworks, especially SAFe or Scrum, and tools like JIRA, Confluence, and Productboard. Education Bachelor's degree in computer science, Information Systems, Healthcare Administration, or related field required. Master's degree or certifications in Product Management, Cloud Technologies (especially AWS), or Healthcare IT preferred. Preferred Experience Direct experience with Amazon Connect, Avaya, Genesys, or Cisco telephony platforms and their migration to cloud-based environoment

Machine Learning Engineer 4 (Manager, IC) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams 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 or Machine Learning 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 Machine Learning 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 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 OUR COMPANY: EOS IT Solutions is a Global Technology and Logistics company, providing Collaboration and Business IT Support services to some of the world's largest industry leaders, delivering forward-thinking solutions based on multi-domain architecture. Customer satisfaction and commitment to superior quality of service are our top business priorities, along with investing in and supporting our partners and employees. We are a true International IT provider and are proud to deliver our services through global simplicity with trusted transparency. WHAT YOU WILL DO: We are seeking a highly skilled and hands-on Data Center Field Operations Lead to oversee and support operations within our data center environments. This role requires deep technical expertise in diagnosing and resolving hardware and network issues, and leading a team of technicians in delivering high-quality, SLA-driven support. Reporting to the Service Manager, this role coordinates workload, manages escalations, supports staff development, and partners with site leadership and cross-functional teams. The ideal candidate will be proficient in using Command Line Interfaces (CLI) for diagnostics, managing escalations, and ensuring the consistent delivery of services across a range of server, storage, and network hardware platforms. KEY RESPONSIBILITIES: Directly manages technician team members at the assigned site, including regular 1:1 meetings, performance feedback, coaching, professional development, onboarding, training, and accountability. Coordinates daily support operations, including workload distribution, ticket queue oversight, staffing coverage, escalation triage, adherence to support processes, and service expectations. Approve timecards accurately and on time for error-free billing. Lead network operations across server, storage, and network hardware platforms, ensuring timely and effective resolution of hardware failures. Perform advanced diagnostics using CLI tools (e.g., Cisco IOS, NX-OS, Linux shell) to identify and resolve system and network issues. Oversee physical hardware repair, including component-level replacements (e.g., drives, memory, NICs, PSUs, fans, motherboards). Troubleshoot Layer 1-3 network issues, including port failures, link flaps, and misconfigurations. Coordinate with OEM vendors for RMA processes, part replacements, and warranty claims. Maintain and update documentation for incident resolution, root cause analysis, and repair procedures. Manage ticket queues and ensure SLA adherence through effective prioritization and escalation. Provide technical leadership and mentorship to junior technicians, ensuring adherence to best practices and safety protocols. Collaborate with cross-functional teams to support infrastructure upgrades, migrations, and maintenance windows. Ensure compliance with MOPs and CMOPs, and contribute to their development and continuous improvement. ESSENTIAL CRITERIA: Associate degree or higher in a technical discipline or equivalent hands-on experience in data center operations or IT support. 5+ years of experience in IT support, hardware diagnostics, and repair in enterprise environments. 2+ years of people management, supervisory, team lead, mentoring, or equivalent experience demonstrating increasing responsibility. (Required). Strong proficiency with CLI-based tools and environments (e.g., Cisco CLI, Linux/Unix shell, iDRAC, iLO). Demonstrated experience in troubleshooting and repairing server, storage, and network hardware. Familiarity with network protocols and tools (e.g., ping, traceroute, netstat, SNMP, syslog). Excellent problem-solving skills and ability to work under pressure in high-availability environments. Strong communication and leadership skills with a customer-focused mindset. Valid driver's license and ability to travel between data center sites as needed. DESIRABLE CRITERIA: Experience managing a technical support team in a multi-site environment. (Preferred) Industry certifications such as CompTIA Server+, Cisco CCNA, Dell EMC, or equivalent vendor-specific credentials. Experience with ticketing systems (e.g., ServiceNow, Remedy) and asset management platforms. Familiarity with scripting for automation (e.g., Bash, Python) is a plus. Experience working in a 24/7 operational environment with on-call responsibilities. PHYSICAL REQUIREMENTS: Ability to frequently exert force equivalent to lifting up to approximately 50 pounds and occasionally up to 100 pounds. Clarity of vision at 20 inches or less and more than 20 inches, and ability to adjust focus. Three-dimensional vision, ability to judge distances and spatial relationships. Ability to identify colors and give and receive information through speaking and listening skills. Regular requirements to sit, use hands and fingers, handle objects, tools, or controls; and reach with hands and arms. Frequent need to stand and walk; occasional need to climb, balance, stoop, kneel, crouch, or bend. EOS BENEFITS: At EOS IT Solutions, we are committed to supporting the well-being and success of our team. Our comprehensive benefits package includes: Health, Vision, and Dental Insurance starting the 1st of the month after your start date. Meals, snacks, drinks, and desserts provided 10 Days of Paid Time Off (PTO) annually 12 Paid Holidays 6 Sick Days (available after 90 days of employment) 401(k) Retirement Plan with a $2,500 company match (available after 90 days of employment) The EOS pay range for this job is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, experience, education, knowledge, skills, and abilities, as well as internal equity, market data, or other laws. EOS is committed to creating a diverse and inclusive work environment and is proud to be an equal opportunity employer. We invite you to consider opportunities at EOS regardless of your gender; gender identity; gender reassignment; age; religious or similar philosophical belief; race; national origin; political opinion; sexual orientation; disability; marital or civil partnership status or other non-merit factor.