Machining engineer jobs in Silver Spring, MD

Are you experienced in Critical Infrastructure Commissioning and looking for a fast-paced environment to work in? As a Data Center Retro Commissioning Engineer (CxE), you will be part of a highly creative, efficient team tasked with tackling fascinating and challenging problems supporting the operations of existing Amazon-owned data centers in the northern Virginia (IAD) region. The Amazon Commissioning team (ACx) understands, evaluates, defines and manages the expectations of system performance and optimization in accordance with engineering designs to meet customer requirements. The CxE is responsible for supporting vendors, contractors, and other teams involved in the retro commissioning of various systems in operational data centers such as: Medium and low voltage power systems Generators UPS HVAC (Air Handlers / Exhaust Fans / VFD) Chilled Water Systems Building Management systems (BMS) Electrical Power Monitoring Systems (EPMS) Testing and balancing Pumps and Hydronic systems Key job responsibilities As the Retro Commissioning Engineer (CxE), you will provide testing and validation oversight of AWS data center electrical and mechanical infrastructure in existing operational facilities. This includes, but is not limited to, review of as-built documents and equipment submittals, leading Factory Witness Testing (FWT) when applicable, and managing third-party commissioning vendors in the performance of onsite functional and integrated systems testing. You will own your projects' successes where you Deep Dived to resolve technical issues and had Bias for Action to address schedule impacts and coordination demands onsite. You will be sharing your lessons learned leading towards team growth and program improvements. You will get the opportunity to provide multi-discipline input into the scheduling, test script development, designing, and planning of retro commissioning projects. During commissioning, you will be continuously auditing Cx vendors' activities to ensure compliance with environmental, quality, and safety requirements while minimizing impact to operational data centers. Following the AWS project reporting format, you will be responsible for regular reporting of retro commissioning progress and metrics of assigned projects to your Regional Commissioning Manager. You will have the opportunity to lead several projects simultaneously to achieve key milestones and deliver optimized data center performance, while managing project budget as approved by Finance. A day in the life On a typical retro commissioning project, the CxE works across AWS engineering, operations, and contractor teams to coordinate site activities in operational data centers, prioritize tasks, and ensure each issue has clear path to resolution with minimal impact to operations. The CxE manages the project commissioning vendor whose primary scope is to execute functional tests on existing systems, identify optimization opportunities, determine criticality, propose solutions, and document their findings. The CxE coordinates closely with operations teams to schedule work during appropriate maintenance windows. If project completion is at risk, the CxE escalates to the appropriate stakeholders. Upon project completion, the CxE will communicate lessons learned to help peers on similar projects in flight and participate in initiatives that drive improvement to the retro commissioning program. About the team Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. #DCCD_AMER BASIC QUALIFICATIONS- 5+ years of engineering, installation, or startup/commissioning of electrical and mechanical systems experience - Bachelor's degree in Mechanical/Electrical Engineering or 5 years of relevant discipline work experience - High technical competency in either mechanical or electrical or control systems utilized in critical infrastructures, with the capability to learn and be trained in the others. - Understand the design concept and intent by reviewing mechanical or electrical design documentation, including drawings, specifications, vendor submittals and sequences of operations and provide feedback on the same in accordance with Amazon standards for basis of design. - Develop but majorly review commissioning documentation such as test plans, scripts and reports developed by vendors to ensure accuracy in accordance with the design requirements. PREFERRED QUALIFICATIONS- Advanced knowledge Microsoft Office Suite - Word, Excel, Outlook required; advanced knowledge of SharePoint (or similar) preferred - Strong communication skills, detail oriented, highly organized, and able to work in high stress environments to maintain calm and respectful interaction with multiple teams - Advanced knowledge of mechanical, electrical, and controls systems for critical infrastructures - Ability to read and edit construction documents (design drawings, control diagrams, specifications, etc.) - Experience developing and executing test procedures for mechanical or electrical systems/components based on design intent and approved equipment submittals Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $105,100/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine exceptional products for our customers. In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our internal Audit team and partners across the company to build and deploy proprietary solutions that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. You will: Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI. Fine-tune, develop and evaluate machine learning and foundation models, Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. Leverage a broad stack of Open Source and SaaS AI technologies. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. Retrain, maintain, and monitor models in production. Construct optimized data pipelines to feed ML models. 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. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production Strategic & Business-Oriented: You think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team. Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions. Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities. A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact. Basic Qualifications: Bachelor's degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Go, Scala, or Java At Least 3 years of experience deploying scalable software solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Preferred Qualifications: Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies 6 years of experience designing, developing, delivering, and supporting AI services at scale 3 years of experience developing AI and ML algorithms or technologies using Python 2 years of experience with Retrieval Augmented Generation (RAG) Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or 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. Cambridge, MA: $193,400 - $220,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead 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. . click apply for full job details

Job Title: Identity and Access Management Engineer Duration: 12 Months Under general supervision and/or direction, the incumbent is responsible for the planning, building, delivery and support of the Identity and Access Management (IAM) program. This position will provide direction and guidance to the development, specifications and communications of the IAM application and architecture, and provide in-depth technical consultation to the College units, departments, and OIT management, and assist in developing plans and direction for the integration of information security requirements. Essential Functions: Identity and Access Management: Design, implement, and manage identity services solutions, including authentication, authorization, and identity lifecycle management to provide a strong IAM program. Ensure the integrity and security of the College's identity data. Identify and evaluate complex business and technology risks, internal controls that mitigate risks, and related opportunities for internal control improvement. Develop and maintain Role-Based Access control (RBAC), Attribute-Based Access control (ABAC), and least-privilege models to reduce access risk. Integrate systems with Single Sign-on (SSO) and Multi-Factor Authentication (MFA) using SSO and MFA technologies. Implement and manage Privileged Account Management (PAM) controls including credential vaulting and session monitoring. Monitor, investigate, and respond to IAM-related incidents, abnormal login behavior, and security alerts. Maintain detailed documentation of IAM architecture, configurations, integrations, and process flows. Ensure IAM alignment with regulatory, audit, and compliance requirements across the organization. Identify the broader impact of current decisions related to user access, data access and information security Strategic Leadership Envisions organizational outcomes and facilitates alignment with them. Aligns IAM processes across the organization and develops and documents standards for organizational use. Understands business and information technology management processes and demonstrates advanced understanding of business processes, internal control risk management, IT controls and related standards. Lead the planning, development, and execution of IAM projects, ensuring they are completed on time and within budget and aligned with IAM best practices. Collaborate with security architecture, application owners, and infrastructure teams to design scalable and secure IAM solutions. Define and track IAM metrics, KPIs, and maturity indicators to support continuous improvement. Advise senior management on IAM-related risks and security posture. Awareness, Training and Other Communications Fosters an understanding of the need for and application of the IAM system and facilitates decision making with the end users. Builds and nurtures positive working relationships with College units and departments. Identifies opportunities to improve engagement with the College units and departments. Perform other duties as assigned. Required Knowledge, Skills, and Abilities Broad knowledge of computer security issues, requirements, solutions, and trends, especially in the higher education environment. Knowledge of applicable business processes and operations of customer organizations. Knowledge of new and emerging information technology (IT) and information security technologies. Knowledge of risk management processes, including steps and methods for assessing risk. Knowledge of system lifecycle management principles, including software security and usability. Knowledge of critical information technology (IT) procurement requirements. Strong interpersonal and communication skills, plus the ability to achieve goals through influence, collaboration, and cooperation. Demonstrated ability to work effectively with an array of constituencies in a community that is both demographically and technologically diverse. Ability to think critically and analyze information and situations, present findings and make recommendations; ability to turn data into information and present it in a meaningful manner. Ability to analyze issues and solve sensitive and complex problems under pressure. Skilled in interpersonal communication and conflict resolution. Excellent written and verbal skills. Excellent presentation skills and experience in public speaking or training. Required Education and Experience Bachelor's degree from an accredited college or university with course work in computer science, information systems, cybersecurity, or a related field, and/or any combination of education, training, and experience that provides the required knowledge, and expertise to perform the essential functions of the position. Four years of progressively responsible experience in the management of identity and access management, or similar experience managing complex applications, projects or systems. Proven experience in designing and implementing IAM solutions in a complex organization. Experience dealing with complex risk-related issues with managing vendor relationships, information security or regulatory compliance programs, and audits. Competencies: Decision Making Decisions may affect a work unit or area within a department. May contribute to business and operational decisions that affect the department. Problem Solving Problems are varied, requiring analysis or interpretation of the situation. Problems are solved using knowledge and skills, and general precedents and practices. Independence of Action Results are defined and existing practices are used as guidelines to determine specific work methods and carries out work activities independently; supervisor/manager is available to resolve problems. Communication and Collaboration Contacts and information are primarily within the job's working group, department and/or campus. Contacts and information sharing are external to the job's department, but internal to the campus/campuses (i.e. other departments/campuses, central administration/services such as Human Resources, Payroll, Finance, Facilities, Mail Services, Student Services, etc.) Contacts and information sharing are internal/external to the College, for the primary reason of scheduling, coordinating services, collaborating, etc. Required Industry Certifications At least one relevant certification, e.g. Certified Identity and Access Manager (CIAM), Certified Identity Management Professional (CIMP), Certified Identity Governance Expert (CIGE), Certified Information Systems Security Professional (CISSP)

Secret clearance or higher Chantilly, Virginia Performs assignments of a routine degree of complexity by compiling and evaluating design and test data, preparing technical specifications, analyzing technical data to determine appropriate limits and variables for electrical/electronic systems, components, equipment, and networks. Assists in the interpretation of results and writing of small sections of technical reports. Completes assigned project work within schedule and budget constraints. THE FOLLOWING IS REQUIRED Bachelor's in Computer Science, Computer Engineering, Electrical Engineering, or related field of study and (+2) years of experience, OR Master's degree in a relevant field, OR an equivalent combination of education/experience in a relevant field Develop software to run in user-mode or kernel-mode Ability to code in C or C++ Ability to use a scripting language (Python, Perl, Ruby, etc.) Experience with PC and embedded systems architecture to include boot processes and OS internals Experience with a disassembler for vulnerability research (IDA Pro, BinaryNinja, etc.) Understand network protocols Experience with one or more assembly languages (x86, x64, ARM, MIPS, PowerPC, etc.) Experience with one or more debuggers (WinDbg, OllyDbg, gdb, etc.) Experience with vulnerability research on one or more operating systems: Android, iOS, Windows, Linux, MacOS, VxWorks, QNX, RTOSs, or other custom operating systems Ability to demonstrate good organization, documentation, communication, problem-solving, and teamwork skills Knowledge of common mitigation techniques (DEP, ASLR, etc.) Familiarity with fuzzers Must be a sole US citizen with an active DoD Secret security clearance THE FOLLOWING IS DESIRED Participation in CTFs Ability to analyze assembly-level code on multiple platforms (x86, x64, ARM, MIPS, PowerPC, etc.) Experience with symbolic analysis Ability to analyze network protocols throughout all layers of the network stack Background in software engineering and architecture

Industry: Architecture & Technology Integration Employment Type: Full-Time About the Role: Our client is a forward-thinking design firm that specializes in fusing workplace architecture with modern AV and smart technology. They are seeking an Audio Visual Design Engineer to help bridge the gap between architectural design and cutting-edge workplace technology. This individual will play a pivotal role in developing intelligent, collaborative, and future-ready environments by integrating audio-visual and IT systems into architectural plans. Key Responsibilities: Collaborate on the planning and design of workplaces with integrated AV, IT, and smart building systems. Create design documentation, drawings, and specifications for AV and workplace technologies including conference rooms, digital signage, and collaboration tools. Coordinate with consultants, vendors, and project teams to ensure cohesive and seamless technology integration. Participate in client meetings, offering insight into AV/tech trends and system integration strategies. Review architectural and MEP drawings to align infrastructure requirements. Conduct site visits during construction phases to confirm implementation accuracy. Qualifications: Bachelor's or Master's degree in Architecture, Interior Architecture, or a related field. 3-7 years of experience in architectural design, with a focus on workplace and technology integration. Experience in Commercial Office Furniture Systems (planning, integration, or coordination). Solid understanding of AV systems such as video conferencing, sound masking, and collaboration tech. Skilled in Revit, AutoCAD, Bluebeam, and Adobe Creative Suite. Ability to interpret technical AV/IT system drawings and documentation. Strong communication and teamwork skills. CTS certification or an interest in obtaining AV/IT-related credentials is a plus. Bonus Points For: Familiarity with WELL, LEED, or other sustainability frameworks. Knowledge of workplace IoT and smart building systems. Exposure to acoustics, lighting, or environmental controls. Compensation Base salary can go up to $120K (Depending on the candidate's experience)

Titan Technologies is seeking a Technical Director/Chief Engineer to support a mission-focused Government customer by delivering the full lifecycle of services needed to advance and modernize critical software capabilities. This includes end-to-end technical and evaluative expertise for the design, development, sustainment, and modernization of mission-critical evaluative applications, enterprise cloud infrastructure, AI/ML driven analytics, emerging capabilities research and analysis, systems engineering and integration, and cybersecurity. Job Description The Technical Director/Chief Engineer will lead engineering teams in taking a multi-discipline approach to requirements engineering, solutions engineering, scheduling, reliability, resiliency, services development, integration, test and evaluation, maintainability and analysis. Duties and Responsibilities: Develop scalable enterprise architectures in alignment with DoD and IC standards. Architect ETL processes, data flows, and schemas translations. Develop long-term strategies for integration of technologies into the enterprise for cost savings and efficiency. Guide multi-level engineering teams across requirements engineering, solutions engineering, scheduling, reliability, resiliency, service development, integration, testing, evaluation, maintainability, and system-level analysis. Lead planning and traceability activities, including user requirements, architecture alignment, procedures, workflow reviews, and system improvement efforts. Oversee the development of technical solutions and system designs informed by requirements analysis and new technological opportunities. Support the Government in the capture and translation of mission and customer needs into systems and capability requirements, including allocating those requirements to architecture components and supporting related program execution. Contribute to systems integration efforts across multiple systems, services, processes, and interfaces. Provide expertise in strategic technical planning, project management, performance engineering, risk management, and interface design. Conduct Analysis of Alternatives (AoAs), Course of Actions (CoAs), Trade Studies, and Engineering Assessments. Operate at the level of integrating multiple systems, services, processes, and interfaces within a Major Systems Acquisition across organizational and agency boundaries. Communicate with government on achievability of system and program goals as well as setbacks and mitigation steps for any impediments to those goals. You MUST have: A DoD Top Secret clearance with the ability to obtain a CI Poly 10+ years experience with software architecture, AI/ML systems, and enterprise integration. Certified Systems Engineering Professional (CSEP) certification Scaled Agile Framework (SAFe) Agilist or Certified Scrum Master (CSM) certification Experience working with or in the Intelligence Community (IC). Strong knowledge of standard software development processes, such as DevOps, requirements engineering, coding, documentation, configuration management, quality assurance, integration, and testing. Familiarity with U.S. Government information sharing frameworks, policies, and interoperability requirements.

Programmers.io is currently looking for a Product Engineer Onsite Role in McLean, Virginia, United States OPEN FOR C2C OR W2 Prompt Design Optimization Develop, test, and refine prompts for AI models to achieve accurate, context-aware outputs. Create reusable prompt libraries and guardrails for enterprise use cases. Salesforce AI Integration Leverage Salesforce Einstein and Agent force for predictive analytics, conversational AI, and automation. Collaborate with Salesforce architects to embed AI-driven workflows into CRM processes.AI Enablement Governance Define best practices for prompt engineering across teams. Ensure compliance with enterprise security, data privacy, and ethical AI guidelines. Managerial Responsibilities Lead and mentor team members, fostering collaboration and continuous learning. Manage stakeholder relationships and ensure timely delivery of AI initiatives. Oversee project planning, budgeting, and governance for AI-related programs. Cross-functional Collaboration Work closely with developers, architects, and business stakeholders to translate requirements into AI solutions. Conduct workshops and training sessions on effective prompt engineering. If you are interested, please apply or feel free to share your updated resume at ************************

We are seeking a Senior Okta Engineer to lead the design, implementation, and optimization of Okta-based authentication services for a large, federated U.S. government agency. This position plays a key role in modernizing identity and access management (IAM) within a complex, multi-tenant environment with rigorous security and compliance requirements. In this role, you will configure, maintain, and enhance Okta as a cloud-based authentication platform and identity provider for federal clients. You'll work in a fast-paced environment alongside a team of experienced Okta Engineers to deliver secure, scalable, and high-performing identity solutions. What You Will Do: Architect and deploy scalable Okta solutions for authentication, federation, and lifecycle management across multiple domains and agencies. Design and implement SSO, MFA, and adaptive access policies aligned with federal security standards. Integrate Okta with cloud and on-premise applications, including custom APIs and legacy systems. Collaborate with cybersecurity, infrastructure, and application teams to ensure seamless identity workflows. Monitor, troubleshoot, and optimize Okta performance and security posture.

About the Role: Are you ready to lead a mission-critical initiative at the intersection of national security and public safety? The Defense Information Systems Agency (DISA) is seeking a top-tier Emergency Services IP Network (ESINet) Engineer to spearhead the development of the Department of Defense's next-generation emergency response network. This isn't just another networking job. You will be the technical authority on a high-impact project, building a secure, resilient, and state-of-the-art IP communications fabric that will protect our service members and federal employees across the globe. If you are driven to solve complex challenges and want your work to have a tangible impact on national security, we want to talk to you. What You'll Do: Architect the Future: Design and build a secure, scalable, and highly available ESINet from the ground up, based on NENA i3 standards and rigorous DoD security protocols. Lead the Implementation: Drive the hands-on deployment and integration of core network infrastructure, including routers, switches, firewalls, and Session Border Controllers (SBCs). Secure the Mission: Serve as the security cornerstone for the network, implementing DISA STIGs and advanced cybersecurity controls to protect our nation's most critical emergency communications. Ensure Flawless Performance: Act as the highest point of escalation for troubleshooting complex VoIP, SIP, and network routing issues, ensuring unwavering reliability for all emergency services. Integrate and Innovate: Connect the DoD-ESInet with Public Safety Answering Points (PSAPs) and other federal agencies, creating a seamless web of emergency response. What You'll Bring (Required): An active Secret or Top Secret security clearance. 5+ years of experience architecting and managing large-scale IP networks. Deep expertise in Emergency Services IP Networks (ESINet) and/or Next Generation 9-1-1 (NG911) architecture. Expert-level knowledge of IP routing (BGP, OSPF) and Session Initiation Protocol (SIP). Proven, hands-on experience with core network hardware and security appliances. Great-to-Haves: Direct experience with DISA, the DoD, or other federal agencies. NENA i3 standards familiarity. Professional certifications (CISSP, CCNP, etc.). Experience securing networks according to DISA STIGs. Why Join Us? The Mission: Your work will directly contribute to the safety and security of our nation's warfighters and federal personnel. The impact is real and immediate. The Technology: Work with cutting-edge networking and cybersecurity technologies on a "greenfield" project, free from the constraints of legacy infrastructure. The Challenge: Solve complex, first-of-their-kind problems that don't have textbook answers. The Agency: Be part of DISA, the premier IT combat support agency for the Department of Defense, at the heart of critical C5I capabilities. Conditions of Employment: Must be a U.S. Citizen. This national security position, which may require access to classified information, requires a favorable suitability review and security clearance as a condition of employment. Failure to maintain security eligibility may result in termination. This is a drug testing designated position. Incumbent may be required to travel up to 20% of the time Security Clearance: Must be able to obtain and maintain a TS/SCI. Benefits: A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Learn more about federal benefits here: ************************************************************************ #ESINet #NG911 #DoD #DISA #NetworkEngineer #Cybersecurity #PublicSafety #FortMeade #TopSecret #SIP #VoIP

Join a Growing Industry Leader as a Junior Project Manager! Company: Vertical Mechanical Group (VMG) At Vertical Mechanical Group (VMG), we are always seeking talented individuals to join our growing team. Our commitment to exceptional customer service and innovative solutions drives our success and fuels continuous expansion. We're excited to offer opportunities for motivated professionals who are ready to elevate their careers. When you join VMG, you become part of a close-knit, supportive team that values both its employees and clients. Here, your growth powers our success. To support our continued growth, we are seeking a Mechanical Field Engineer to join our team. This role is a fantastic opportunity for a motivated professional to gain hands-on experience and develop project management skills while working closely with seasoned professionals. Role Overview As a Mechanical Field Engineer, you will assist in the overall management and execution of mechanical installation and service projects. You will collaborate with Project Managers, Executives, Superintendents, Foremen, and Subcontractors to ensure projects are delivered on time, within budget, and exceed client expectations. Key Responsibilities Support project planning, scheduling, and budgeting activities. Assist in coordinating HVAC and plumbing installations, ensuring alignment with project goals. Review and interpret mechanical drawings and commercial construction documents. Monitor project progress and communicate updates to stakeholders. Provide administrative and operational support to senior project team members. Collaborate with field teams to address challenges and maintain project momentum. Ensure compliance with safety and quality standards. Qualifications 2+ years of experience in construction project coordination or management (mechanical focus preferred). Foundational knowledge of HVAC and plumbing systems and installation processes. Strong organizational and time-management skills. Basic understanding of mechanical drawings and commercial construction projects. Familiarity with project management software and Microsoft Office Suite. Excellent communication and interpersonal skills. Eagerness to learn and grow in a fast-paced environment. Bachelor's degree in Construction Management, Engineering, or a related field (preferred). What We Offer Competitive salary and performance-based incentives. Comprehensive benefits package, including health, dental, and vision insurance. Paid Time Off (PTO) and a 401(k) retirement plan with company match. Opportunities for professional development and career advancement. A supportive and collaborative work environment. This position is based in Charlottesville, VA. About VMG Vertical Mechanical Group (VMG) is a family-owned and operated HVAC and Plumbing contractor specializing in large-scale commercial projects. We combine the personalized service of a boutique firm with the expertise and resources of a major contractor. Ready to Apply? If you're excited to build your career in project management and contribute to VMG's success, we want to hear from you! Apply today to join our talented team. Learn more about us at vmgmech.com.

TechTrend is seeking a talented Google Cloud Lead Engineer to join our team of talented staff. Using a modern technology stack and agile approach, in this role you will have the opportunity to be a part of a workforce that is transforming IT through technology modernization efforts. Be a member of an environment that thrives on innovation and ideas of all members of the team. Our environment is highly collaborative and allows you the opportunity to continue building your skills through training and multiple diverse projects. Duties and Responsibilities: • Partnering with the Cloud Engineers and Architects to develop advanced, leading-edge, cloud-oriented architectures that provide new cybersecurity capabilities to a major U.S. Government customer. • Collaborate closely with stakeholders, business teams, development teams, and other IT professionals to understand business requirements and translate them into technical solutions. • Extensive experience with Google Cloud Platform services including: Compute Engine, Cloud Run, Vertex AI and other GCP AI/ML services • Familiarity with the following technologies in a cloud environment: Jenkins, Orca, Apigee, GCP SCC, Splunk, Sonarqube. • Implement and maintain network architecture within GCP, including Virtual Private Clouds (VPCs), load balancers, VPNs, and connectivity with on-premises networks. • Implement and manage GCP-native deployment pipelines using tools like Cloud Build, Cloud Deploy, GitLab CI, Artifact Registry, or Jenkins • Ensure data security and compliance with industry standards by configuring Identity and Access Management (IAM) roles, service accounts, and access policies. • Create and maintain comprehensive documentation of cloud infrastructure, configurations, and operational procedures. • Develop and implement strategies for optimizing resource utilization and cost management through effective scaling, right-sizing, and budget monitoring. • Demonstrate a high degree of adaptability and willingness to take on varied responsibilities, often beyond the initial scope of the role, to meet evolving business needs and contribute to cross-functional initiatives. • Experience working in DevOps and/or DevSecOps environments. Required Education: Bachelor's degree in Systems Engineering, Computer Science, Information Systems or related technical field (Preferred) Google Cloud Professional Cloud Architect (preferred) or any additional GCP specialty certifications (ML Engineer, Security Engineer) Work Location: hybrid, once a week in Reston office. Travel Requirements: No travel Job Type: Full-time Benefits: · Medical, Dental and Vision Insurance · Life, Short and Long-term Disability Insurance · PTO & All federal holidays off · 401(k) Plan (matching component included) · Free Gym Access at Headquarters

Lead Building Engineer Direct Hire; $75K - $96K plus bonus potential Reston, Virginia 20191 As an area Chief Building Engineer, you will be joining a dynamic property management team to maintain the operation and safety of three Class A office buildings! You will cultivate strong relationships with vendors, tenants, and the property management team daily to work collaboratively and efficiently! Make an impact (Accountability) You will monitor the operating condition, control parameters, and supervise all maintenance of the building's HVAC systems. (Accountability) You will perform unscheduled maintenance calls, including routine plumbing emergencies, minor equipment malfunctions, hot/cold calls, electrical and lighting repairs, and minor structural repairs (ceiling, ceramic/vinyl tile, floor, door, etc.) You will oversee and assist CM/PM with onsite tenant upfits and building improvement projects. You will develop and maintain strong tenant and vendor relationships You will perform and coordinate preventive maintenance and maintain records on all building equipment You will be responsible for changing ceiling tiles, light bulbs, filters, ballasts, etc. You will proactively conduct tours of the building and grounds to look for deficiencies and coordinate/initiate repairs (Such as stained ceiling tiles, slamming doors, broken restroom equipment, etc.) You will respond to emergency calls after hours on an as needed basis You will prioritize service calls and follow-up upon completion. (Responsibility) You will promote and maintain a safe work environment You will exhibit a strong understanding of the fire alarm panel and its operations You will promote and maintain energy efficiency for building operations to include but not limited to electrical, water and gas consumption You will oversee and inspect the work performed by outside contractors Perform other duties as required What you should bring You should have 5-7 five years' experience in HVAC maintenance with an emphasis on preventive maintenance, energy management, generator operations and troubleshooting techniques. Strong electrical, plumbing and HVAC skills. Good verbal and written communication skills. Ability to prioritize work and to be a self-starter as well as a motivated team player. Good trouble shooting skills. Degree/Certificate High School or GED Some Trade School Technical training classes Or State License Universal Certification Personalized Connection: Connect with an employee who resonates with your professional interests. Inclusivity: Embrace diversity by choosing a conversation partner from various backgrounds and roles.

An E-Learning and Analytics software company that straddles both federal and commercial sectors is hiring for a Senior Cybersecurity Engineer specializing in Risk Management Framework. Their platform takes company data like promotion rates, attrition, and more, and leverages predictive analytics and decision science to give leaders actionable insights. They are in need of a Senior Cybersecurity Engineer to lead the implementation of RMF across the organization, including both their federal and commercial arms. This person should be versed in everything from coordinating internal and 3rd party audits, cloud compliance, vulnerability scanning tools, POA&M's and Authority to Operate. This is a high visibility, high profile hire for the team. Because this person will be embedded both with commercial and DoD applications, this candidate must have a Secret Clearance. The role will be hybrid in Alexandria, VA. Required Skills & Experience: US Citizen with a Secret Clearance Bachelors Degree in Cybersecurity or related field Security+ Certification 5+ years of experience in RMF NIST 800-53 & NIST 800-171 Experience with vulnerability scanning tools (Nessus, ACAS, etc) Desired Skills & Experience: Masters Degree Experience leading RMF implementations Prior experience in DoD environment, working with Security Technical Implementation Guides, POA&M's, ATO's, FedRAMP's Experience working directly with stakeholders, great communication and presentation skills

Company - Our client is a rapidly growing cybersecurity services provider supporting Fortune 500 and financial institutions. Known for its deep technical expertise and white-glove customer delivery, this firm partners with some of the most recognized brands in the security space. Their customer for this engagement is a prestigious financial services institution headquartered in the Tysons, VA area. Job Title - Sr. Identity (IGA/PAM) Engineer Location - Hybrid: 3 days/week onsite in Tysons, VA; 2 days remote Role Type - Contract (6 months / 1,040 hours) Must Have Skills: 7+ years of progressive experience in Identity & Access Management (IAM) engineering and architecture 3+ years of hands-on enterprise experience deploying and managing IGA and PAM platforms Proven background in Enterprise IAM environments Deep experience with the Saviynt platform, including both IGA and Cloud PAM modules Expertise integrating IGA/PAM systems with systems like Active Directory, cloud services, databases, and custom apps using connectors and APIs Responsibilities and Job Details: Lead the engineering, integration, and administration of Saviynt IGA, including workflows, lifecycle management, and application onboarding Design and support the Saviynt Cloud PAM module for privileged access, session recording, and auditing Own the full lifecycle of IGA and PAM platforms, including upgrades, patching, and maintenance Develop and maintain access certification, SoD, and role-based governance policies Function as a key technical member of the Enterprise IAM team, adhering to security and change management standards Act as a liaison between security and other departments, communicating technical requirements and risks effectively Provide Tier 3 support and root cause analysis for complex IAM issues Participate in off-hours support as needed, including on-call rotations Collaborate across development, infrastructure, audit, and business units Ensure high availability and performance of IAM systems through capacity planning Document and track technical implementations and decisions throughout project phases Adhere to strict security and compliance requirements in a financial enterprise setting

PROJECT ENGINEER: COLUMBIA, MD MSP EXPERIENCE STRONGLY DESIRED Who Staffing is looking for a Project Engineer for a fulltime, direct hire opportunity with our client in Columbia, MD. The Project Engineer is a pivotal role in our client's managed services team, responsible for assisting their Centralized Services team with the design of their projects, then implementing, and overseeing IT projects for their clients. This position involves working closely with clients to understand their IT needs and delivering tailored solutions that align with their business objectives. Roles: Subject Matter Expert in various solutions, across multiple vendor technology. Supports Centralized Services in development and Implementation of client's Project Standards. Provides updates on Project Stages and Tasks to Client Success Manager and Project Manager. Provides stalled or delayed project tasks to Client Success Manager and Project Manager. Documentation Specialist, providing new articles and/or updating existing client documentation. Project Budget composition. Project - Scope of Work generation. Job Responsibilities: Project Management: Lead and manage IT projects from initiation to closure, ensuring they are completed on time, within budget, and to client satisfaction. Develop project plans, including scope, timeline, resources, and budget. Monitor project progress and adjust as necessary to ensure successful project completion. Technical Implementation and Support: Design and implement technical solutions such as network configurations, cloud migrations, cybersecurity measures, and software installations. Provide technical expertise and guidance in the selection and implementation of IT systems and services. Troubleshoot and resolve complex technical issues that arise during the project. Client Communication and Relationship Management: Maintain regular communication with clients, keeping them informed of project progress and addressing any concerns. Understand client requirements and provide recommendations based on their business needs. Build and maintain strong client relationships, ensuring high levels of customer satisfaction. Team Collaboration: Work collaboratively with other team members, including technicians, network engineers, and support staff. Provide mentoring and guidance to junior team members. Contribute to a positive and productive work environment. Quality Assurance and Compliance: Ensure the quality of services delivered meets both company and client standards. Maintain comprehensive project documentation for future reference and compliance with industry standards. Professional Development: Stay abreast of the latest trends and developments in IT and managed services. Engage in continuous learning and development to enhance technical skills and industry knowledge. Knowledge & Skills Required: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Candidates must have experience with some of the following technologies- Addigy, Apple Business Manager, Axcient, BlackPoint, Cisco, ConnectWise, Datto, DUO, Kaseya, Nerdio, Pax8, SentinelOne, Simeon, and SonicWall. Education and/or Experience: Bachelor's degree from four-year college or university; or five to seven years related experience and/or training; or equivalent combination of education and experience. Certificates, Licenses, Registrations: Relevant certifications (e.g., PMP, ITIL, Microsoft, Cisco) are advantageous. Experience, Education & Certifications Preferences: This position will be recommended to have before entering this position: 5-7 years of experience in IT systems design, implementation, and management. Proven track record of successfully delivering IT projects in a managed services or enterprise IT environment. Bachelor's degree in Computer Science, Information Technology, or related field. Microsoft 365 Certified: Enterprise Administrator Expert Required Skills and Qualifications: Strong understanding of IT systems, including networking, cloud services, and cybersecurity. Excellent problem-solving abilities and attention to detail. Strong communication and interpersonal skills, with the ability to explain technical concepts to non-technical audiences. Ability to manage multiple projects simultaneously and work under pressure. Relevant certifications (e.g., PMP, ITIL, Microsoft, Cisco) are advantageous.

Holder Construction is seeking qualified highly motivated candidates in our Mechanical, Electrical and Plumbing Services Team at one of project sites in Ashburn, VA. Primary Responsibilities Communication with electrical/mechanical equipment vendors, electrical/mechanical design engineers, clients and subcontractors. This position involves procurement of electrical/mechanical subcontracts and equipment, managing contracts and contract deliverables from bid solicitation through contract award, equipment submittal coordination, assistance with electrical/mechanical and overall construction cost estimates. Common projects include commercial projects within our core markets: Data Centers; Aviation; Higher Education and Corporate / Commercial Office. Requirements For This Position Include Bachelor's degree in Mechanical, Electrical Engineering or Construction Management The ideal candidate will have 5+ years of Mechanical, Electrical and Plumbing preconstruction experience and have the following skill sets: Ability to read and understand electrical, HVAC, plumbing, architectural and civil plans, and specifications Familiar with standard concepts, practices, and procedures of MEP Systems and equipment Good communication skills Ability to identify and resolve issues Effective participation in a team environment Detail-oriented with the ability to manage multiple projects and tasks

Amazon is looking for an energetic, detail-oriented individual to join our Data Center Engineering Operations Team. This committed group works to maintain the critical physical infrastructure that supports Amazon Web Services. Specifically, this team works to ensure that the data center's MEP operates at 100% availability while maintaining first-class customer service to the teams and groups within the data centers. The Data Center Chief Engineer (CE) is responsible for ensuring that all electrical, mechanical, and fire/life safety equipment within the data center is operating at peak efficiency. This involves both planned preventative maintenance of equipment, daily corrective work, and emergency response to emergent issues. The CE serves as an expert technical resource reporting to a site's Data Center Facility Manager and interacting with onsite Engineering Operations Technicians (EOT) and any third party vendors. They are expected to be a singular focal point for all facility operations within a given data center and to support Amazon within its owned and operated data centers. Data center equipment that supports mission-critical servers must maintain better than 99.999% uptime. Also expected from the CE is the ability to management small-to-medium impacting projects from conception to completion. These projects involve large amounts of independent work as well as collaboration with external support groups including engineering, automation, processing, and finance in both local and global settings. The CE will be tasked with creating and delivering on key milestones, obtaining and tracking quotes for all necessary costs, and documenting project results for future implementation at other facilities. The goals of such projects are for the CE to drive innovation and resiliency while reducing operational costs in the facilities. The CE directs, trains and supports EOT's in their role of providing hands-on electrical and mechanical equipment troubleshooting and operations. Implementation and execution of site/equipment-specific training exercises is also expected. This equipment includes, but is not limited to, stand-by diesel generators, switchgear, UPS's, PDU's, AHU's, chillers, cooling towers, chemical treatment systems, pumps, motors, VFD's, and building automation systems. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities Key job responsibilities • Oversee the day-to-day operations and maintenance of mechanical and electrical equipment in a data center. • Operate independently with limited direct management • Act as an escalation point for all facilities-related issues within the data center, escalating to the Data Center Facility Manager as needed • Perform root cause analysis of equipment failures • Troubleshoot and report of facility and data sever-level events within internal SLA • Create and deploy new standard practices for Engineering Operations Technicians, Chief Engineers, and vendor support teams • Provide training and guidance to Engineering Operations Technicians • Ensure all safety procedures are adhered to by vendor and Amazon staff • Utilize internal CMMS to manage building workflows • Communicate complex technical information to a non-technical audience Physical Requirements: All physical requirements are expected with reasonable accommodations • Walk job sites in uneven terrain • Work at heights and from ladders • Regularly lift and/or move up to 49 pounds; and participate in group lifts for 50 pounds or more • Coordinate body movements when using tools or equipment • Reach and stretch to position equipment and fixtures while maintaining balance • Bend or twist the body into unusual positions while working • Perform physical tasks all day without becoming overly tired • Use hands to manipulate small wires and objects • Push or pull heavy objects into position • Work in a noisy environment • Work at depths, such as under raised floors A day in the life Typical day, review and prioritize preventative maintenance schedules for electrical, mechanical, and fire/life safety systems. Conduct facility walkthroughs to identify potential issues before they impact operations. Respond to emergency alarms and coordinate immediate corrective actions with EOTs. Meet with vendor representatives to oversee ongoing maintenance work and ensure compliance with safety protocols. Monitor system performance metrics to maintain 99.999% uptime standards. Provide technical guidance and mentorship to on-site EOTs throughout the shift. Document all activities and update maintenance logs to support continuous facility operations. About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- 3+ years of vendor management experience - 4+ years of relevant work in a data center or other critical environment experience - 5+ years of data center engineering or operations experience - 5+ years of Microsoft Office including Outlook, Word, and Excel experience - Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field - Experience in vendor management - Experience in a data center or other critical environment - Experience in data center engineering or operations - Experience with Microsoft Office including Outlook, Word, and Excel PREFERRED QUALIFICATIONS- 3+ years of construction or project management experience - Electrical or mechanical Journeyman License - operating engineering license such as DC II, DC III, or equivalent - Experience in construction or project management Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $83,100/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: 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 At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or 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: $158,600 - $181,000 for Senior Machine Learning Engineer Richmond, VA: $144,200 - $164,600 for Senior 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).

TechTrend is seeking a talented Senior AI Engineer to join our AI Rapid Innovation team. Using a modern technology stack and agile approach, in this role you will have the opportunity to lead the development and prototyping of cutting-edge AI solutions that transform how our clients leverage artificial intelligence in their operations. Be a member of an environment that thrives on innovation and ideas of all members of the team. Our environment is highly collaborative and allows you the opportunity to continue building your skills through training and multiple diverse projects while mentoring and guiding technical team members. Duties and Responsibilities: · Lead the design, development, and prototyping of innovative AI solutions primarily using Google Cloud Platform (GCP) AI/ML services including Vertex AI, AI Platform, Document AI, and related technologies. · Partner with stakeholders, product teams, and technical leadership to rapidly solution and architect AI capabilities that address complex business challenges for major U.S. Government customers. · Provide technical leadership and mentorship to development team members, guiding best practices in AI/ML engineering, cloud architecture, and agile development methodologies. · Collaborate closely with business teams, data scientists, and IT professionals to translate business requirements into scalable, production-ready AI solutions. · Architect and implement end-to-end AI pipelines including data ingestion, model training, deployment, monitoring, and continuous improvement using GCP native services. · Develop proof-of-concepts and prototypes that demonstrate the art-of-the-possible with generative AI, large language models (LLMs), computer vision, natural language processing, and predictive analytics. · Leverage experience with Azure AI services (Azure OpenAI, Azure Machine Learning, Cognitive Services) to provide cross-cloud AI solutions when required. · Implement responsible AI practices including model explainability, bias detection, security controls, and compliance with industry standards and government regulations. · Work within DevOps/MLOps environments to automate infrastructure provisioning, model deployment, and monitoring using Infrastructure as Code (IaC) tools. · Create comprehensive technical documentation including architecture diagrams, API specifications, model cards, and operational runbooks for AI solutions. · Demonstrate a high degree of adaptability and willingness to take on varied responsibilities, often beyond the initial scope of the role, to meet evolving business needs and contribute to cross-functional initiatives. · Stay current with emerging AI technologies, tools, and best practices, and evangelize innovations within the team and to client stakeholders. Required Qualifications: · Bachelor's degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or related technical field · 5+ years of hands-on software development experience with demonstrated expertise in Python, and familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn, LangChain, or similar · 2+ years of experience in a technical leadership or team lead capacity, including mentoring developers and guiding technical decisions · Proven experience designing and deploying AI/ML solutions in Google Cloud Platform, with hands-on knowledge of Vertex AI, BigQuery ML, Document AI, or other GCP AI services · Strong understanding of machine learning fundamentals, model development lifecycle, and production ML system design · Experience with containerization (Docker, Kubernetes/GKE) and orchestration of AI workloads in cloud environments · Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG) architectures for generative AI applications · Experience with API development and integration using REST, gRPC, or similar protocols · Strong problem-solving skills with ability to rapidly prototype and iterate on AI solutions Preferred Qualifications: · Google Cloud Professional Machine Learning Engineer or Professional Cloud Architect certification · Experience with Azure AI services (Azure OpenAI Service, Azure Cognitive Services) · Familiarity with generative AI platforms and frameworks (OpenAI API, Gemini, etc.) · Experience with data engineering tools and practices · Knowledge of AI security, model governance, and responsible AI practices Work Details: · Work Location: Hybrid - Must live within commutable distance to Reston, VA · Travel Requirements: Minimal travel (10% or less) · Job Type: Full-time Benefits: · Medical, Dental and Vision Insurance · Life, Short and Long-term Disability Insurance · PTO & All federal holidays off · 401(k) Plan (matching component included) · Free Gym Access at Headquarters TechTrend, Inc. is a Small Business providing IT products and services to both the government and commercial markets. We were founded in 2003 and continue to evolve as a leading provider of enterprise-wide services and technology solutions. TechTrend is a noted and trusted partner to our clients who seek our knowledge and guidance for their most critical and complex IT projects. TechTrend's mission is to provide comprehensive, enterprise-wide IT solutions to our clients' complex challenges. We serve as a liaison for positive organizational change by forming relationships and building bridges across functions, gaining buy-in from both leaders and end-users, and removing barriers to mission success. Our established processes ensure quality delivery of results by maximizing efficiency, productivity, and client satisfaction enterprise-wide.