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Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal ML Platform Engineer Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. This role is based at our h eadquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. What You'll Do Develop Clean Software: Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers - from feature scoping through implementation. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. Required Qualifications Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. Preferred Qualifications Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $175,000-$325,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments . click apply for full job details

Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal Applied AI Engineer Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. This role is based at our h eadquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Principal Applied AI Engineer, you will serve as the technical linchpin for applied AI on the team, bringing deep hands-on expertise in designing and operating production LLM systems and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity AI systems - spanning code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability - set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. WHAT YOU'LL DO Develop Clean Software: Architect, build, and optimize high-performance production LLM systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase - and the AI systems built on it - cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier and AI-powered application layers - from feature scoping through implementation. Build prototypes to de-risk novel AI approaches and establish the standards others build on. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. REQUIRED QUALIFICATIONS Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Production LLM Systems: Deep hands-on experience designing and operating production LLM systems. AI Systems Expertise: Demonstrated expertise across code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Domain Expertise: Strong distributed-systems, API, security, and reliability foundations, with the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. PREFERRED QUALIFICATIONS Compilers & Program Analysis: Experience with compilers, program analysis, formal or executable specifications, or legacy modernization is strongly preferred. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $200,000-$350,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process . click apply for full job details

Job Description Job Description Purpose Information technology is foundational to how Citadel Aviation operates at every site, from the systems that move work across the hangar floor and the shops to the platforms that support administrative staff. Secure, reliable network and identity infrastructure enable Citadel to operate without interruption, protect its work and its people, and meet its obligations to customers and partners. This role owns the design, operation, and security of Citadel's network and identity infrastructure across every Citadel site: reliable connectivity, a hardened identity platform, and a security posture that scales with the business. The role serves as Citadel's internal technical counterpart to the company's security SOC and managed detection and response (MDR) provider, partners with IT leadership and peers across IT and the business, owns assigned IT projects, and is accountable for the reliability of the network and the strength of the security posture across every site. Environment The technology stack includes Palo Alto next-generation firewalls, Cisco switching, Meraki wireless, Microsoft 365 with Entra ID for identity, Microsoft Defender for Endpoint and Intune for endpoint security and management, Tenable for vulnerability management, and KnowBe4 for security awareness. Security operations are delivered in partnership with an external SOC and MDR provider. Essential Job Functions Own the design, operation, and security of Citadel's network infrastructure across all sites. Maintain firewalls, switching, wireless, ISP connectivity, and backup connectivity. Design and implement upgrades to support growth, lead network design and turn-up for new Citadel facilities, and maintain secure connectivity between sites, between sites and the cloud, and for remote users. Own the design, operation, and security of Citadel's voice and unified communications infrastructure, including the company's calling system, VOIP infrastructure, and integration with Microsoft 365 communications. Maintain consistent network and security service quality across all Citadel sites. Travel between sites is heavier during the initial standardization phase across existing sites and during turn-up of new sites, and lighter once the environment reaches steady state. Perform in line with established KPIs and service-level targets, including network availability, security patch SLA, mean time to remediate vulnerabilities, mean time to respond to security incidents, and related measures. Track and report performance regularly to IT leadership. Serve as the internal technical counterpart to the company's security SOC and MDR provider, who operate detection, monitoring, and response. Partner closely on detection tuning, alert triage, investigation, and remediation. Own endpoint security policy across the Microsoft 365 platform, including Microsoft Defender for Endpoint configuration, conditional access, identity hardening, and Intune security baselines. Partner with the IT manager and the support team on day-to-day operation and enforcement. Own technical email security controls, including anti-phishing, anti-malware, secure transport, and tenant security configuration. Partner with the IT manager on user-facing reporting and response workflows. Run Citadel's vulnerability management process in partnership with the MDR provider. Operate scanning tooling, prioritize findings, and drive remediation across the IT organization. Own identity and access management hardening, including multi-factor authentication, conditional access policy, privileged access controls, and account lifecycle hygiene. Set program direction and content for Citadel's cybersecurity awareness program, including training plans, phishing simulation strategy, and ongoing user education topics. Partner with the IT manager, who runs the user-facing activities and reporting. Conduct third-party security review of new vendors, software platforms, and integrations before they enter the environment. Assess data handling, integration security, and ongoing risk; track approval and remediation. Coordinate Citadel's response to external security assessments, including penetration testing, cyber insurance reviews, customer security questionnaires, and regulatory inquiries. Scope engagements, work with vendors, maintain evidence, and track remediation. Deliver assigned IT projects within networking and security, and contribute to broader IT initiatives. Coordinate with IT leadership and peers, and engage external specialists and contractors as needed. Partner with IT leadership and peers in infrastructure, support, and software development on initiatives originating in those service lines. Contribute network and security expertise to keep delivery on track. Own vendor relationships within the network and security portfolio, including ISPs, network hardware, security tooling, and specialized contractors. Take on broader IT vendor relationships as assigned. Own the network and security operating budget, with broader budget scope as assigned. Track expenses, project upcoming needs, and provide input on annual IT budget planning. Own the on-call rotation for network and security incidents. Drive diagnosis, coordinate internal and external resources, and engage directly in resolution. Own incident communication for network and security events. Notify IT leadership and impacted business stakeholders, provide regular status updates throughout an incident, and deliver post-incident summaries with root cause and follow-up actions. Conduct periodic internal security audits across user access, identity hygiene, configuration baselines, vulnerability posture, and policy adherence. Remediate findings in partnership with the IT manager. Maintain and enforce IT network and security policies, procedures, runbooks, technical documentation, and asset inventory. Contribute to the creation and modification of policies as needed. Identify and propose improvements in network design, security posture, monitoring coverage, and tool consolidation. Deliver approved initiatives. Non-Essential Functions Running cables and installing hardware. Other duties as assigned. Minimum Qualifications or Experience Bachelor's degree in Information Technology, Computer Science, Cybersecurity, Network Engineering, or a related technical discipline. Equivalent professional experience considered in lieu of degree. 5+ years of progressive experience in enterprise network engineering and information security. Hands-on experience with endpoint security platforms, including Microsoft Defender for Endpoint and modern identity and access management (Microsoft Entra ID, conditional access, multi-factor authentication). Experience operating in partnership with a managed detection and response (MDR) provider or security operations center (SOC). Experience with vulnerability management, including scanning tooling (Tenable Nessus or comparable), prioritization, and driving remediation across an organization. Experience operating in an environment with regular external security assessments (penetration testing, cyber insurance reviews, customer security audits) and remediating findings under deadline. Experience supporting multi-site operations or production environments where uptime, security, and consistency of service are operational requirements. Experience delivering IT projects from scope through completion, including scheduling, vendor coordination, and budget tracking. Demonstrated ability to communicate technical concepts clearly to non-technical business stakeholders and to senior leadership. Demonstrated experience adhering to and enforcing security best practices across network, endpoint, and identity domains. Preferred Qualifications or Experience Experience in aviation, aerospace, manufacturing, MRO, or other regulated operational environments. Hands-on experience with endpoint security platforms, including Microsoft Defender for Endpoint and modern identity and access management (Microsoft Entra ID, conditional access, multi-factor authentication). Active IT industry certifications such as CompTIA Security+ or Network+, Cisco CCNA / CCNP, Palo Alto PCNSA / PCNSE, Microsoft Security or Identity certifications, CISSP, GIAC, or comparable. Experience designing and bringing up network infrastructure at new sites or facilities. Experience with SD-WAN, zero-trust architecture, network segmentation, or related modern network design patterns. Familiarity with security frameworks (NIST, CIS) and audit or compliance work. Experience with security awareness platforms (KnowBe4 or comparable). Experience administering identity and access controls in a hybrid or cloud-first environment. Experience with VOIP or unified communications infrastructure. Supervisory Responsibilities This position has no direct reports. Coordinates day-to-day with external network and security contractors, managed-service providers, and the company's SOC and MDR partner. Provides technical guidance and security expertise to IT team peers and to business stakeholders as needed. Knowledge, Skills, and Other Attributes Deep technical expertise across enterprise networking (firewalls, switching, wireless, routing) and information security (endpoint, identity, vulnerability management, security monitoring). . click apply for full job details

Job Description Job Description Description Technical Lead - Microsoft Technologies (.NET, Azure, Angular, AI) Preference will be given to candidates located in Dallas, TX, New Jersey or New York City metro area who are willing to have an insite interview, and/or work a hybrid schedule. About Hallmark Health Care Solutions At Hallmark Health Care Solutions, what we do and how we do it go hand in hand. We bring a relentless focus to both our products and our people-grounded in curiosity, a bias for action, accountability and ownership, strong judgment, and a willingness to challenge the status quo in pursuit of better outcomes. Hallmark Health Care Solutions is led by passionate experts with an average of 20+ years' experience in IT, nursing, process engineering, finance, and healthcare. We are committed to strengthening communities by producing technologies, support services, and thought leadership that tangibly improve patient care and community health outcomes. Position Summary Seeking a hands-on Technical Lead with strong Microsoft stack, Azure, Angular, and cloud-native application expertise. The ideal candidate will lead teams, design scalable solutions, and drive engineering best practices. Experience with Azure AI, Azure OpenAI, or similar platforms is required. The role combines technical leadership, hands-on development, code reviews, architecture guidance, and mentoring. Key Responsibilities Software Development Design and develop scalable enterprise applications using C#, .NET Core/.NET 8+, ASP.NET Core, and Web APIs. Develop modern, responsive front-end applications using Angular and TypeScript. Build secure RESTful APIs and microservices. Optimize application performance, scalability, and reliability. Troubleshoot complex production issues and provide root cause analysis. Exposure to Basic Azure Cloud & Infrastructure Management and services like AKS, Service Bus, App Insights etc . Design and implement authentication and authorization using Microsoft Entra ID (Azure AD) and Azure AD B2C (Microsoft Entra External ID). Candidate should have practical experience implementing AI solutions, Should have exposure to Database design & Performance optimization AI Solution Design & Delivery Understand business problems and translate them into scalable AI/ML and Generative AI solutions. Design, develop, and deploy enterprise-grade AI systems with a strong focus on reliability, scalability, monitoring, and measurable outcomes. Lead or contribute to multiple AI initiatives simultaneously while coordinating with engineering leads, product managers, architects, and offshore teams. Technical Leadership Lead one or more Agile development teams delivering enterprise SaaS applications. Provide technical direction and architectural guidance throughout the software development lifecycle. Establish and enforce coding standards, design principles, and development best practices. Conduct thorough code reviews and ensure high-quality, maintainable code. Mentor developers and help improve their technical capabilities. Participate in sprint planning, backlog refinement, estimation, and technical design discussions. Drive engineering excellence through automation, quality, and continuous improvement. Candidate will be working closely with Product Managers, Architects, QA Engineers, DevOps Engineers, and Business Analysts. Skills, Knowledge & Expertise Required Qualifications Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience). 8+ years of software development experience using Microsoft technologies. 3+ years leading engineering teams or serving as a Technical Lead Expert-level proficiency in: C# .NET Core / .NET 6/7/8 ASP.NET Core Web APIs Entity Framework Core SQL Server Strong experience with Angular (v12+) and TypeScript. 2+ years of software engineering experience with at least 3+ years focused on AI/ML and Generative AI initiatives. Strong hands-on experience building and deploying production AI systems. Experience delivering AI initiatives independently in enterprise environments. Strong understanding of LLMs, Agentic AI architectures, and RAG systems. Extensive experience designing and developing cloud-native applications on Microsoft Azure. Strong understanding of Microservices Architecture and Domain-Driven Design (DDD). Experience implementing CI/CD pipelines using Azure DevOps or GitHub Actions. Strong knowledge of Azure AD, Azure AD B2C (Microsoft Entra External ID), OAuth 2.0, and JWT. Excellent debugging, troubleshooting, and performance optimization skills. Experience conducting technical design reviews and code reviews. Job Benefits Medical, Dental, and Vision Insurance with Employee Premiums Covered by HHCS at 100% and Company Cost Share for any Dependents Enrolled $3000 Annual Company Contributions to HSAs for all Employees Enrolled in the HSA Eligible Health Plan Unlimited Paid Time Off Pre-Tax and Roth 401(K) Retirement Options On-Site Gym, Free Parking, and Provided Lunches 3 Times per Week in the Dallas Office! Hallmark Health Care Solutions, Inc is an Equal Opportunity Employer. All employment decisions are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex, age, physical, mental or sensory disability, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. HHCS reserves the right to amend the job description, duties or qualifications based on company needs. By applying to Hallmark Health Care Solutions, your application and all supplemental information is subject to our Privacy Policy. When clicking "Apply", you will be redirected to our Applicant Tracking System, Pinpoint.

Job Description Job Description Job Title: AV Technician Location: Washington, DC Type: Contract Compensation: $36.80 Work Model: Onsite Hours: 40.0 Security Clearance: Ability to obtain and maintain Public Trust (or higher if required) Overview This is an onsite Audio Visual (AV) and Video Teleconferencing (VTC) support role responsible for maintaining conference room technology, supporting live events, and ensuring seamless collaboration experiences across Microsoft Teams, Webex, and other AV platforms. Responsibilities Proactively inspect, configure, and maintain AV/VTC equipment in meeting rooms, auditoriums, and multipurpose rooms. Manage deployment, setup, and relocation of AV/VTC components to support operational and event requirements. Troubleshoot front-end AV/VTC hardware and software issues and restore services with minimal disruption. Perform routine readiness checks to ensure monitors, microphones, conference phones, and related room systems remain fully operational. Provide user-facing support for collaboration tools, including Webex and Microsoft Teams. Field and resolve user questions on AV/VTC usage, meeting startup, content sharing, and audio/video performance. Support conference and hybrid meeting connectivity and coordinate escalations for unresolved issues. Communicate service updates and usage guidance to end users to improve collaboration outcomes. Support production of live events, including town halls, commission meetings, and other high-visibility sessions. Execute live video/audio support activities and assist with webcast or streaming operations. Coordinate with internal stakeholders and third-party providers for services such as captioning and interpretation support. Perform post-production editing for recorded events and deliver high-quality final media outputs. Conduct training sessions on selection, use, and design of audiovisual materials and presentation equipment. Develop manuals, workbooks, and user-facing reference materials to support AV/VTC operations. Create practical job aids for common room technologies and collaboration workflows. Capture recurring issues and recommend process improvements to strengthen AV/VTC service delivery. Requirements Citizenship/Work Authorization: Must meet contract requirements. Clearance: Ability to obtain and maintain Public Trust (or higher if required). Education: Bachelor's degree in a relevant field (e.g., Information Technology, Computer Science, Engineering). Minimum of 5 years of experience providing front-end AV/VTC support in enterprise or government environments. Hands-on experience managing, deploying, and troubleshooting AV/VTC equipment. Demonstrated skills and knowledge to operate AV/VTC systems, including live broadcasts and post-production editing. AV/VTC system operation and troubleshooting across conference rooms, auditoriums, and multipurpose spaces. Webex and Microsoft Teams support for meetings and collaboration. Live broadcast, streaming/webcast support, and post-production video editing. End-user training delivery and development of manuals, texts, and workbooks. Preventive AV equipment management, issue triage, and service restoration. Experience supporting federal agency executive events, hearings, or public-facing broadcast sessions (preferred). AVIXA CTS certification (CTS-I or CTS-D preferred). Experience coordinating live captioning and sign-language interpretation support (preferred). Familiarity with ITSM/ticketing workflows (e.g., ServiceNow) and SLA-driven support in PWS-aligned environments (preferred). Experience with AV refresh, upgrade, and modernization efforts in secured environments (preferred). AVIXA CTS, CTS-I/CTS-D (preferred). Dante Level 1 or Level 2 when supporting Dante-based audio transport environments (preferred). System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:

Description: The Commercial Roofing General Manager will provide leadership to position the company at the forefront of the industry. Develop a strategic plan to advance the company's mission and objectives and to promote revenue, profitability and growth as an organization. The Commercial Roofing General Manager oversee company operations to insure production efficiency, quality, service, and cost-effective management of resources. This job description is intended to convey information essential to understanding the scope of the job and the general nature and level of work performed by job holders within this job. But, this job description is not intended to be an exhaustive list of qualifications, skills, efforts, duties, responsibilities or working conditions associated with the position. Job Functions: Develop a strategic plan to advance the company's mission and objectives and to promote revenue, profitability, and growth as an organization. Oversee company operations to insure production efficiency, quality, service, and cost-effective management of resources. Plan, develop, and implement strategies for generating resources and/or revenues for the company. Approve company operational procedures, policies, and standards. Review activity reports and financial statements to determine progress and status in attaining objectives and revise objectives and plans in accordance with current conditions. Evaluate performance of executives for compliance with established policies and objectives of the company and contributions in attaining objectives. Serve as a representative of the company, displaying courtesy, tact, consideration, and discretion in all interaction. Contribute to a positive work environment and ensure a successful solution process. Meet with the Presidents to review the operations and performance of the company. Interface with the clients, negotiate contracts, and provide business development. Provide leadership to ensure goals are attained and the Company's principals are maintained. Requirements: Five years minimum of commercial roofing industry experience in management is a must with emphasis on all facets of the business including but not limited to customer relations, extensive knowledge of roofing materials, techniques and requirements. Bachelor Degree in Engineering, Construction Management or related field is preferred, but not required. Other critical skills include planning & organizing; team-building, problem identification/resolution, multi-tasking, follow-through skills to bring tasks to closure in a timely manner, priority setting, and having a sense of urgency in accomplishing tasks in a timely manner. Satisfactory computer skills - including Internet Explorer, Microsoft Outlook, Microsoft Excel, Microsoft Word, PowerPoint, and Internet. Superb communication skills Sound problem assessment and problem-solving skills Sound judgment and ability to make decisions Well organized; Adept at planning work and managing time Extreme attention to detail and high level of accuracy Strong Initiative Superior Integrity Adaptability Willingness to learn PIf75684e2f6-

Sager Electronics is looking for a Sales Engineer to work with our Field Sales team to drive growth within the assigned region by expanding existing customer relationships and developing new business opportunities in power, thermal and battery solutions . This role is ideal for a motivated engineer who is technically savvy and who thrives at the intersection of engineering and business development. Territory: Washington, Oregon and British Columbia What You'll Do As a Sales Engineer and power supply expert , you will play a critical role in identifying, developing, and securing new power supply opportunities: Partner with customers from design through production to win new business Support qualification efforts for Power Systems products, including inbound leads Collaborate with the local sales team on design opportunities and application solutions Deliver product updates and emerging technology insights to customers and internal teams Capture and manage design registrations and design wins Build strong relationships with local rep groups and manufacturer representative partners Share market intelligence, customer feedback, and industry trends with leadership Participate in technical training with suppliers and service centers Contribute to customer planning and regional growth strategies Ensure an exceptional customer experience through consistent follow-through Manage territory and time effectively to maximize impact Complete administrative reporting and maintain CRM data Represent the company with professionalism, integrity, and accountability Meet or exceed established sales goals and performance objectives What You Bring Education & Experience Bachelor's degree in engineering Minimum 7 + years of experience selling power solutions Experience supporting customers through the power supply selection process Knowledge & Skills Strong understanding of the power supply market and electronics industry Ability to engage stakeholders Self-starter who thrives in a fast-paced, results-driven environment Excellent communication, negotiation, and listening skills Strong organizational and territory management abilities Ability to quickly become a product expert across multiple suppliers Proficiency with standard business and CRM tools Compensation Annual Base Salary Range: $73,710-$122,200 Annual Total Compensation Range (Base + Incentive): $113,400-$188,000 The compensation structure includes a base salary and a monthly incentive opportunity for a combined total target income. Actual compensation may vary based on factors such as geographic location, experience, education, and skill level. Final base salary and bonus details will be confirmed at the time of offer. Why Join Us? Opportunity to work with leading power technology suppliers High-impact role with strong visibility and growth potential Collaborative team environment with technical and sales support At Sager Electronics, we value our team members and strive to provide a comprehensive benefits package for full-time employees. Here is what you can expect: Medical, dental, and vision insurance to keep you and your family healthy. 401(k)/Roth plan with matching, ensuring your financial future is secure. Healthcare Savings Accounts for added flexibility in managing medical expenses. Educational Assistance (Tuition Reimbursement) to support your ongoing learning and development. Continuous training opportunities throughout your employment, empowering you to grow both personally and professionally. A strong commitment to giving back to our communities through philanthropic opportunities and volunteer hours. We understand the importance of work-life balance, and our Paid Time Off is designed to support our employees' well-being. Sager Electronics, a TTI, Inc. Company, is a North American distributor of Interconnect, Power and Electromechanical components from leading manufacturers worldwide and a provider of custom value-add solutions. Grounded in over 135 years of innovation and service, Sager Electronics provides customers and suppliers a unique combination of operational excellence and innovative business solutions through its Distributing Confidence business model. Headquartered in Middleborough, MA, Sager operates a national network of field sales representatives and power systems sales engineers, ten strategically located service centers, and a value-added Custom Solutions Center in Lewisville, TX. To learn more about us, visit To perform the position, you must be a U.S. Person as defined by ITAR. ITAR defines a U.S. Person as a U.S. Citizen, U.S. Permanent Resident (i.e., 'Green Card Holder'), Political Asylee, or Refugee. Visa sponsorship is not available for this role. Only candidates authorized to work in the United States will be considered. We are an Equal Opportunity Employer, and we support protected veterans and individuals with disabilities through our affirmative action program. Compensation details: 00 Yearly Salary PI1efbee66b6-

Sager Electronics is looking for a Power Sales Engineer (PSE) to drive growth within the assigned region by expanding existing customer relationships and developing new business opportunities in power, thermal and battery solutions. This role is ideal for a motivated engineer who is technically savvy and who thrives at the intersection of engineering and business development. Territory: Dallas-Fort Worth (DFW) metroplex. This role supports customers across North Texas and Oklahoma as primary markets, with additional coverage in Northern Louisiana and Arkansas. What You'll Do As a Power Sales Engineer , you will play a critical role in identifying, developing, and securing new power supply, thermal, and battery opportunities: Partner with customers from design through production to win new business Support qualification efforts for Power Systems products, including inbound leads Collaborate with the local sales team on design opportunities and application solutions Deliver product updates and emerging technology insights to customers and internal teams Capture and manage design registrations and design wins Build strong relationships with local rep groups and manufacturer representative partners Share market intelligence, customer feedback, and industry trends with leadership Participate in technical training with suppliers and service centers Contribute to customer planning and regional growth strategies Ensure an exceptional customer experience through consistent follow-through Manage territory and time effectively to maximize impact Complete administrative reporting and maintain CRM data Represent the company with professionalism, integrity, and accountability Meet or exceed established sales goals and performance objectives What You Bring Education & Experience Bachelor's degree in engineering Minimum 7+ years of experience selling power solutions Experience supporting customers through the power supply selection process Knowledge & Skills Strong understanding of the power supply market and electronics industry Ability to engage stakeholders Self-starter who thrives in a fast-paced, results-driven environment Excellent communication, negotiation, and listening skills Strong organizational and territory management abilities Ability to quickly become a product expert across multiple suppliers Proficiency with standard business and CRM tools Compensation Annual Base Salary Range: $66,430 - $110,760 Annual Total Compensation Range (Base + Incentive): $102,200 - 170,400 The compensation structure includes a base salary and a monthly incentive opportunity for a combined total target income. Actual compensation may vary based on factors such as geographic location, experience, education, and skill level. Final base salary and bonus details will be confirmed at the time of offer. Why Join Us? Opportunity to work with leading power technology suppliers High-impact role with strong visibility and growth potential Collaborative team environment with technical and sales support At Sager Electronics, we value our team members and strive to provide a comprehensive benefits package for full-time employees. Here is what you can expect: Medical, dental, and vision insurance to keep you and your family healthy. 401(k)/Roth plan with matching, ensuring your financial future is secure. Healthcare Savings Accounts for added flexibility in managing medical expenses. Educational Assistance (Tuition Reimbursement) to support your ongoing learning and development. Continuous training opportunities throughout your employment, empowering you to grow both personally and professionally. A strong commitment to giving back to our communities through philanthropic opportunities and volunteer hours. We understand the importance of work-life balance, and our Paid Time Off is designed to support our employees' well-being. Sager Electronics, a TTI, Inc. Company, is a North American distributor of Interconnect, Power and Electromechanical components from leading manufacturers worldwide and a provider of custom value-add solutions. Grounded in over 135 years of innovation and service, Sager Electronics provides customers and suppliers a unique combination of operational excellence and innovative business solutions through its Distributing Confidence business model. Headquartered in Middleborough, MA, Sager operates a national network of field sales representatives and power systems sales engineers, ten strategically located service centers, and a value-added Custom Solutions Center in Lewisville, TX. To learn more about us, visit To perform the position, you must be a U.S. Person as defined by ITAR. ITAR defines a U.S. Person as a U.S. Citizen, U.S. Permanent Resident (i.e., 'Green Card Holder'), Political Asylee, or Refugee. Visa sponsorship is not available for this role. Only candidates authorized to work in the United States will be considered. We are an Equal Opportunity Employer, and we support protected veterans and individuals with disabilities through our affirmative action program. Compensation details: 00 Yearly Salary PIeaf3a7e7ac20-2434

Req ID: 382980 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a AWS ETL Data Engineer - REMOTE to join our team in Memphis, Tennessee (US-TN), United States (US). We are seeking an experienced technical resource who could design, develop, support, and enhance enterprise data platforms while ensuring compliance with privacy and data governance requirements. The role combines data engineering, systems integration, analytics, solution design, and operational support. Key Responsibilities Design, develop, and maintain scalable data pipelines using Spark (Scala/Python), AWS Glue, AWS Lambda, and Shell scripting. Build and support ETL/ELT processes across AWS platforms, including S3, Hive, Apache Iceberg, and Amazon Redshift. Develop and maintain Redshift SQL/PLSQL code, stored procedures, and data-processing frameworks. Perform query tuning, performance optimization, and data-sharing implementations. Support ingestion and processing of structured and semi-structured data formats including JSON, CSV, XML, ORC, Parquet, and Avro. Design, enhance, and support solutions that provide a unified view of customer data across systems. Integrate multiple data sources, applications, and business processes to support reporting, analytics, and customer engagement initiatives. Collaborate with business and technical teams to define and implement scalable data solutions. Manage and support Data Subject Requests (DSRs), including customer data erasure requests. Work closely with the DPO team to ensure compliance with privacy regulations and internal policies. Maintain and support the MicroStrategy Privacy Compliance module. (Very infrequent once in year or 2 years) Contribute to data governance initiatives that improve data quality, consistency, and compliance. Analyze and troubleshoot complex data issues using Redshift SQL, MySQL, Python/PySpark, Shell scripting, and Excel. Investigate data mismatches, reporting issues, and business data anomalies. Support business analysis related to customer tiers, loyalty programs, and email marketability. Provide production support and root-cause analysis for critical data platform issues. Technical Leadership & Collaboration Participate in Customer 360, Privacy, Data Governance, and Phaedon initiatives. Conduct code reviews and design reviews. Provide cross-team technical support and problem resolution. Research, design, and develop next-generation data capabilities and products. Act as a subject matter expert for customer data platforms. Primary Technologies AWS: S3, EC2, Redshift (RA3/Serverless), S3 Tables, S3 Hive, AWS Glue, Lambda (Python), Kafka, Airflow, Apache Iceberg Spark (Scala/Python) Redshift SQL/PLSQL, MySQL Data Modeling and Query Optimization Key Strengths Strong ownership and accountability Strong AWS Data Engineering stack awareness Ability to bridge business and technical teams Expertise across engineering, analytics, compliance, architecture, and operational support Adaptability and willingness to take on diverse data-related challenges Minimum Requirements: 12+ years of experience in Data Warehouse / Big Data ecosystems. 5+ years in a lead /SME role 5+ years with AWS architecture and data engineering, including S3, EC2, Redshift (RA3/Serverless), S3 Tables, S3 Hive, AWS Glue, Lambda (Python), Kafka, Airflow, Apache Iceberg 3+ years with Spark (Scala/Python) 5+ years with SQL/PLSQL, MySQL 5+ years strong understanding of: Data architecture & dimensional modeling ETL/ELT frameworks Distributed data processing Cloud data platforms Data governance and security Preferred Skills: Experience managing large-scale enterprise data environments. Proven track record of delivering complex data programs. Excellent communication and stakeholder management abilities. Experience in large enterprise or global delivery environments. Exposure to data modernization and cloud transformation programs. Certifications in cloud platforms or data engineering. Experience in regulated industries (Hospitality, Finance, Healthcare, Telecom, etc.). NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $97,725 - 162,875. Actual compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits. About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Job Description Job Description This is more than a senior engineering role - it's an opportunity to help enterprise organizations adopt AI to solve meaningful business problems. As a Senior AI Forward Deployed Engineer , you'll join Nukudo as a full-time employee and begin with our AI Accelerator Program , where you'll become familiar with our AI platform, delivery methodology, and customer engagement approach. Following the program, you'll lead customer implementations, architect AI-powered solutions, and work directly with technical and business stakeholders to deliver measurable business value. What You'll Do Participate in our immersive AI Accelerator Program Design and deploy enterprise AI solutions Build production-ready AI applications and workflows Lead technical discussions with enterprise customers Translate business challenges into scalable AI solutions Collaborate with engineering, product, and customer teams Mentor junior engineers Stay current with the latest AI technologies and best practices What We're Looking For 4-6 years of experience in Software Engineering, Solutions Engineering, Data Engineering, DevOps, Cloud Engineering, Cybersecurity, or Technical Consulting Bachelor's degree in Computer Science, Engineering, IT, Data Science, or a related field; Master's degree a plus Strong experience with Python, APIs, cloud platforms, and software architecture Strong SQL / data fundamentals and scripting experience Working knowledge of GenAI tools and concepts, and how they apply to enterprise use cases Experience delivering customer-facing technical solutions Strong communication and presentation skills Authorized to work in the U.S. without sponsorship Willingness to relocate What You'll Get Full-time, paid W-2 employment from day one Immersive AI Accelerator Program Opportunity to lead enterprise AI implementations Direct engagement with enterprise customers Medical, Dental, Vision, and 401(k) Continuous technical and professional development Clear opportunities to grow into technical and consulting leadership roles Company Description nuKudo is a workforce development and technology solutions company focused on creating real career opportunities in the digital economy. We combine training, mentorship, and hands-on experience to help people and organizations grow together. Our philosophy is simple - invest in people, and results will follow. Company Description nuKudo is a workforce development and technology solutions company focused on creating real career opportunities in the digital economy. We combine training, mentorship, and hands-on experience to help people and organizations grow together. Our philosophy is simple - invest in people, and results will follow.

Our Team Dandelion Health was founded in 2020 by experts in health tech, hospital systems, academia, and clinical AI. We are building the world's largest AI training and clinical development platform. Today, we pride ourselves on our ability to make data access as easy as possible for AI developers, pharma, and medical devices, while raising the bar for patient safety and data quality. Tomorrow, we will be the place where any healthcare organization can go to build a responsible clinical AI product. Our culture is all about learning from data and improving, so we can help our clients improve health through AI. Meet the rest of our team here. Our Data We partner with health systems to safely and ethically make their de-identified patient data available to AI developers. Currently, the data is acquired from Sharp HealthCare, Sanford Health, and Texas Health Resources - with two additional U.S. health systems joining soon. We have clinical data dating back to July 1, 2016. This data represents over 10 million patients and includes but is not limited to: Structured data (e.g., 100% of the EMR, including some claims) Unstructured text (e.g., clinical notes, radiology reports) Images (e.g., DICOM, pathology) Video Waveforms Continuous streaming monitoring data Your Role You are a healthcare data scientist who knows your way around clinical and electronic health record data. Your primary responsibility is to partner collaboratively with our clients to develop data science solutions and analyze AI-ready datasets to provide key insights using multimodal data. You will curate datasets by identifying patient subpopulations or disease cohorts, and pool multimodal data to drive rapid exploratory AI/ML and Real-World Evidence analyses, model experimentation, and/or model validation. You will lead analytics research from inception to closeout by having ownership over study design, data curation strategies, effort estimation, analytic design, and delivery of final results. You will use your data expertise, programming abilities, and critical thinking skills to support our clients by designing and delivering solutions to help them tackle a broad range of business challenges. Your team's ultimate goal is to deliver the highest-quality data possible to our clients, who are building products that improve patient health, and demonstrate the value of these data. You will report to the Research Data Science Manager. Responsibilities Your day-to-day responsibilities will include the following: Collaborate with clients to develop creative analytic solutions that create value and address challenges across critical areas of their business. Design statistical analysis plans for evidence generation projects that include methodology, results structure, expected outputs and dataset requirements; Query complex source systems in a range of health data sources (e.g., EMRs, ECG data, DICOM data) to identify and map data elements in order to create high-quality datasets for analytic and AI use cases; Develop descriptive analyses and in-depth predictive and causal inference models to drive evidence generation on Dandelion data and enhance existing data products; Summarize the methods and results from projects into clear explanations and documentation for internal and external audiences including for submission to conferences and peer-reviewed publications; Support all phases of SQL/analytical programming, data management, quality control, and reporting for analytics projects; Develop code and documentation to deliver high-quality and HIPAA-compliant data products on time to internal and external customers; Create summarized findings and recommendations that are clearly presented and adapted for audiences that have a varying range of technical and clinical experience; Identify and resolve problems using your knowledge, background, and troubleshooting skills; Ensure accuracy, data integrity, and validity of data and analysis in all work; Present to senior leadership as well external audiences You are not afraid to dig into massive, confusing, disorganized new datasets and get them under control. You are excited to learn new environments, languages, and skills. This is a small, early stage company with enormous ambitions and everyone pitches in across the team. Qualifications M.S. or PhD degree in a relevant field, such as Biomedical Informatics, Data Science, Biostatistics, or B.S. with at least seven years of experience Experience in client interaction, crafting project proposals, and leading teams. Background in statistical modeling and real-world data analysis Fluency in Python and SQL 1+ years experience with extracting, curating, and analyzing data created within the HIT and healthcare delivery ecosystem (e.g., EMR, claims, registry); this may include knowledge of the roles of data exchange and content standards (e.g., FHIR, CDA, CQL) and clinical terminology standards (e.g., ICD, CPT, LOINC, SNOMED-CT, NDC, RxNorm) Strong technical writing, editing, and communication skills along with a collaborative, client-first mindset Excellent organizational skills with an ability to embrace change and effectively manage multiple projects and consistently plan work to meet deadlines Experience working in or with startups is a plus Technology Experiences and Skills We don't expect anyone to have all of the following skills or experiences, but we do seek candidates who are interested in growing their skill sets and working with healthcare data in all its glorious complexity. The Data Team works closely with our Engineering Team to put our work into production and meet client needs. SQL Python and/or R Git and version control Familiarity with encryption methods and writing regular expressions Prior experience querying EDWs or databases and creating reports or analytics for healthcare data Familiarity with the data aspects of electronic medical records, ex. Epic, Cerner, Allscripts Prior experience working with insurance claims data Familiarity with medical terminologies or controlled vocabularies such as ICD-10, SNOMED-CT, LOINC, CPT/HCPCS, NDC, and RxNorm Any medical ontology experience Any NLP experience Any experience working with DICOM or other imaging modalities Experience with OMOP common data model Familiarity with Machine Learning concepts Experience with AWS Note that familiarity with machine learning model development and deployment is not required for this position, but familiarity with high-level ML concepts is a plus. Nature of our work Our work is fast paced and iterative. We are growing, and we want to support our team members to grow in their skills as well. We are building a team that approaches problems with a diversity of perspectives, values experimentation, and refining our approach based on that experimentation. We work with the full spectrum of healthcare data from tabular data, videos, images, waveforms, etc. If a health system collects it, we might work with it! If this looks like a partial fit, please reach out, we would love to share more about the work we do for you to understand if it would be a good fit for you. There is occasional travel for in-person company working days on roughly a quarterly basis. Team Benefits Remote work and flexible hours. Availability needed for meetings, which we try to keep to a healthy minimum Complete wellness benefits including healthcare, dental, vision, PTO, sick days and more. Ask for details Professional development days to build your skills Collegial work environment Academic bent towards inquiry and problem solving but start-up speed and flexibility Great balance of focus time to work on projects but easy to access team members to discuss issues and work collaboratively Dandelion is a mission-driven company that is focused on improving patient care

Job Title: IT Project ManagerJob Category: Project and Program ManagementTime Type: Full timeMinimum Clearance Required to Start: NoneEmployee Type: RegularPercentage of Travel Required: Up to 25%Type of Travel: Local CACI is seeking an experienced and proactive IT Project Manager to join our team supporting a mission-critical Department of Homeland Security (DHS) contract. In this role, you will lead rapid-response, short-fuse engineering and IT infrastructure initiatives-ranging from hardware and software installations to enterprise tool upgrades across 24/7/365 production environments. The ideal candidate brings strong technical leadership, familiarity with the Systems Engineering Life Cycle (SELC) framework, and hands-on experience guiding matrixed teams through project initiation, requirements gathering, deployment, and transition to Operations and Maintenance (O&M). Responsibilities: As an IT Project Manager, you will hold end-to-end accountability for project success, driving timelines, budget scope, stakeholder engagement, and technical quality. Responsibilities include: • All areas of Project Management from initiation through closeout, ensuring the successful execution of the project in support of government customer's mission, goals and objectives. • Responsible for the management, scheduling, and coordination of projects activities, and staff assignments. • Provides leadership to a cross-functional team, managing team resource assignments, projected task completion dates, prioritizing activities based on customer requirements and SLAs. • Document and track the project lifecycle in ServiceNow PPM. • Produce and provide rough orders of magnitude and estimates for projects requiring surge resources. • Oversee individual IT projects from identification of requirements, analysis and design, development, end-user testing, deployment, and production support. • Document and manage all issues and risks, developing and maintaining a risk register and mitigation plan. • Facilitate all necessary project meetings, to include requirements gathering, project kick-off, technical exchange meetings, design review, project status meeting, project closeout meetings and all ad-hoc and post-mortem meetings necessary. • Work across the program to manage the transition of projects from engineering to O&M. • Provide appropriate reporting and drive towards on time delivery by working directly with stakeholders. • Provide recommendations for process development and improvement. • Contribute to documentation in the Knowledge Base, Standard Operating Procedures (SOP), work instructions, and job aids. Qualifications: Required: • Ability to obtain TS/SCI DoD Security Clearance (active TS preferred) • Ability to obtain Department of Homeland Security (DHS) Entry On Duty (EOD) - Active EOD preferred • B.A./B.S. or equivalent + 8 years of relevant experience • Strong communication skills (verbal and written) • Advanced proficiency in the Microsoft Office Suite (predominantly Excel, PowerPoint and Visio). • Experience with Microsoft Project, JIRA, and Confluence Desired: • Previous DHS or DoD experience • Relevant IT, Service Management, and Project Management certifications are highly desired: • Project Management Professional (PMP) certification • Certified ScrumMaster (CSM) or Agile certifications (PMI-ACP) • COMPTIA A+, or Network+, or Security+ • ITIL Foundation (v3 or v4) • Other IT technical certifications • ServiceNow Project Portfolio Management - What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy. Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. The proposed salary range for this position is: $94,400 - $198,200 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

Job Description Job Description About Etched Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference . Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary Etched's infrastructure spans some of the most sensitive compute environments in the industry: bare-metal HPC clusters running proprietary ASIC workloads, hybrid on-prem/cloud deployments, and internal toolchains that house irreplaceable chip design IP. As we scale from early silicon to production, securing these environments is foundational - not an afterthought. As our first dedicated Network Security Engineer, you will own the design and implementation of Etched's network security posture end to end. You'll work alongside the infrastructure team to harden our physical and virtual networks, enforce least-privilege access to chip design environments, and build the detection and response capabilities that keep our most sensitive assets safe. This is a high-ownership role for someone who wants to shape security architecture at a company building the compute infrastructure for the next decade of AI - not maintain someone else's stack. Key Responsibilities Design and implement a zero-trust network architecture across on-prem datacenters, multiple office locations, and multi-cloud platforms, including secure remote access that eliminates VPN sprawl without sacrificing engineer usability and speed Define and enforce network segmentation policies that isolate sensitive ASIC development workflows from general infrastructure, customer access, validation labs, and manufacturing infrastructure Balancing prevention and detection, deploy, tune, and operate NDR, IDS/IPS, and next-generation firewalls across our physical and virtual network fabric; build automation to continuously assess and enforce firewall rules, ACLs, and routing policies - treating network security configuration as code Integrate and operate EDR/XDR, MDM/MAM, SASE, and CASB tooling in partnership with end-user and IT teams, enforcing unified DLP policies and device compliance posture across endpoint, cloud, and network control planes to eliminate data exfiltration risk Own our vulnerability management process for network-layer exposure: scanning, prioritization, and remediation tracking in partnership with infrastructure engineers Lead incident response for network-layer security events: detection, containment, root-cause analysis, and post-incident hardening Partner with legal, compliance, and leadership to support regulatory requirements and customer security reviews as they arise Architect and deploy network segmentation for our HPC clusters, isolating EDA tool traffic, ASIC simulation workloads, and CI pipelines from each other and from the corporate network Architect and deploy a ZTNA-based corporate network that eliminates VPN sprawl and ensures end-user devices maintain a consistent security posture and seamless access to sensitive development environments - whether engineers are on-site, remote, or traveling - replacing location-dependent trust with continuous identity and device health verification Design and implement a scalable NDR pipeline that ingests flow data across bare-metal switches and cloud VPCs, feeds a centralized SIEM, and generates actionable alerts with low false-positive rates Develop runbooks and automated playbooks for the highest-probability incident scenarios - credential compromise, lateral movement, and exfiltration from IP-sensitive environments Integrate EDR/XDR telemetry with SASE enforcement and CASB inline controls to build a unified DLP detection and response pipeline spanning endpoints, cloud SaaS, and the corporate network Partner with end-user and IT teams to roll out MDM/MAM policies that containerize sensitive IP on engineer devices and enforce compliance-based conditional access across managed and unmanaged environments You may be a good fit if you have (Must-have qualifications) Bring deep, broad networking expertise - from low-level packet analysis and firewall log forensics to BGP configuration, multi-cloud networking, and CASB/SASE integration across a diverse SaaS landscape Have hands-on experience with the Fortinet ecosystem - firewalls, FortiSASE, FortiAPs, and switches - and are comfortable with Arista switch platforms, including configuration, EOS automation, and integration into a broader security architecture Treat security as an engineering discipline: you write code and automation rather than relying on point-and-click tooling, version-control your configurations, and develop intent-driven network automation Have experience securing high-value compute environments - datacenters, HPC clusters, semiconductor design environments, or similar settings where the cost of a breach is extremely high Have deployed and integrated EDR/XDR, MDM/MAM, SASE, and CASB tooling, and understand how to stitch them together into a unified DLP and access control framework that spans endpoints, cloud, and the network Have built or operated ZTNA-based access models and understand how to enforce consistent security posture across on-site, remote, and traveling users without degrading the experience for engineers Are comfortable owning your domain with minimal oversight: you can independently scope a project, identify the right tooling, and drive it to completion Have strong Linux fundamentals and understand how OS-level networking (iptables/nftables, network namespaces, eBPF) interacts with physical and virtual network security controls Have built or operated network security monitoring at scale - you know the difference between a good alert and noise, and you can architect a detection pipeline that surfaces real signal Can communicate risk clearly to both technical peers and non-technical leadership, and can translate security requirements into actionable infrastructure changes Strong candidates may also have experience with (Nice-to-have qualifications) Experience with EDA environments or semiconductor IP security Familiarity with cloud-native network security controls on AWS, GCP, or Azure (security groups, VPC flow logs, cloud firewalls, CSPM) Background in or exposure to NIST, SOC 2, or ISO 27001 frameworks Experience with eBPF-based network observability and security tooling Benefits Medical, dental, and vision packages with generous premium coverage $500 per month credit for waiving medical benefits Housing subsidy of $2,500 per month for those living within walking distance of the office Relocation support for those moving to San Jose (Santana Row) Various wellness benefits covering fitness, mental health, and more Daily lunch and dinner in our office Unlimited compute budget subject to ROI justification How we're different Etched believes in the Bitter Lesson. We are the first inference-focused frontier AI system. Our addressable market is the entirety of inference, unlike many of our competitors. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed. Compensation Range: $175K - $275K

Job Description Job Description ABOUT US Do you have a passion for higher education? Do you want to make a positive impact on the college admissions process? Our staff help to remove barriers and encourage students to forge their path to a better future. Common App is a national not-for-profit organization dedicated to the pursuit of access, equity, and integrity in the college admission process. Each year we support more than 1 million students, one-third of whom are first-generation, as they apply to our more than 1100 diverse member colleges & universities using the Common App's free online application. If you are an experienced Artificial Intelligence professional and want to be part of a mission-driven non-profit that uses innovative technology to advance the college admission process, Common App may be a great match for you. Common App is currently searching for a Principal AI & Machine Learning Engineer. RESPONSIBILITIES The Principal Artificial Intelligence (AI) & Machine Learning (ML) Engineer is the technical leader responsible for embedding artificial intelligence into enterprise workflows and analytic processes to drive measurable gains in productivity, insight generation, and decision support within the Data Analytics & Research (DAR) division. Highly regarded for exceptional performance and deep technical expertise, this role focuses on applied, production-ready AI/ML, driving groundbreaking initiatives that embed artificial intelligence into enterprise workflows Reporting to the Senior Director, Analytics Engineering, the Principal AI/ML Engineer partners closely with Data Engineering, Data Governance, and cross-functional business stakeholders to ensure that AI solutions are scalable, secure, compliant, and aligned with enterprise data strategy. This role operates as a senior individual contributor and technical authority, setting standards for AI development practice, mentoring teammates on applied AI techniques, and translating complex machine learning capabilities into enterprise-grade systems that deliver lasting organizational value. The Principal AI/ML Engineer is a recognized expert in the field, frequently sought out for technical guidance, mentorship, and thought leadership both within the organization and across the broader AI and higher education data community. Requirements QUALIFICATIONS This role requires: Candidates must live in the United States. Hybrid Work & Travel: Employees can live anywhere in the US or its territories, with the willingness and ability to travel for periodic in-person events-including semi-annual Common App retreats, department retreats, and strategic leadership sessions. Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a closely related quantitative or technical field; or an equivalent combination of education and experience. 8-10 years of progressive experience in machine learning, AI engineering, or data science, with at least 3 years focused on applied AI and production ML systems. Demonstrated experience integrating LLMs and generative AI into enterprise analytic or operational workflows. Demonstrated experience working within enterprise data governance and compliance frameworks. Expertise in applied machine learning and AI, including supervised and unsupervised learning, natural language processing, and large language model integration (e.g., OpenAI, Anthropic, open-source LLMs via Hugging Face). Demonstrated experience designing and deploying production-grade AI/ML systems, including end-to-end ML pipelines covering training, evaluation, versioning, deployment, and monitoring. Proficiency in R and Python for machine learning and AI development; familiarity with ML frameworks such as scikit-learn, PyTorch, TensorFlow, or equivalent. Experience building and operationalizing LLM-powered applications, including prompt engineering, retrieval-augmented generation (RAG), and tool/agent orchestration frameworks. Strong SQL skills and experience working with large-scale cloud data platforms (e.g., Databricks, Snowflake, BigQuery); ability to design AI-ready data pipelines within enterprise warehouse environments. Knowledge of AI governance, responsible AI principles, and compliance considerations for AI systems handling sensitive or personally identifiable data. Proven ability to serve as a senior technical individual contributor, setting standards, making architectural decisions, and mentoring peers without formal management authority. Strong interpersonal and communication skills, with the ability to translate complex AI/ML concepts into accessible language for non-technical stakeholders and executive audiences. Proven ability to manage multiple competing priorities and deliver high-quality AI solutions in a fast-paced, collaborative environment. The ideal candidate will possess: Master's or doctoral degree in Computer Science, Machine Learning, Data Science, or a related field. Relevant AI/ML or cloud certifications (e.g., Databricks Certified Machine Learning Professional, AWS Machine Learning Specialty, or equivalent). Experience working with Agile frameworks for cross-functional, product-minded collaboration. Experience with agentic AI frameworks. Familiarity with Databricks AI features, including MLflow, Model Serving, and Genie or semantic layer integrations. Experience in higher education, nonprofit, or mission-driven technology contexts. Advanced training in statistics, causal inference, or program evaluation methods. A passion for higher education is a plus. PAY RANGE $144,160 - $162,180 Benefits Common App is a virtual first environment. We value our employees' time and efforts. Our commitment to your success is enhanced by our competitive salary and an extensive benefits package including: Work-Life balance Virtual-first office Paid Time Off (PTO) Seven company-wide holidays Nine floating holidays Sick leave Monthly mental health day floating holidays prorated depending on start date Virtual-first support Choice of PC of MAC laptop May choose an external monitor, keyboard, mouse, and/or headset One-time office set-up stipend Monthly remote work stipend Monthly mobile stipend Financial security Market-based salaries Performance-based bonus 403(b) retirement plan 5% company contribution additional 5% company match 3-year vesting schedule Participation may begin immediately Health & wellness Choice of two health insurance plans Health Savings Account, depending on health plan selection Medical Flexible Savings Account, depending on health plan selection Vision insurance Dental insurance Insurance coverage begins on the date of hire Dependent Care Flexible Spending Account Maven virtual clinic for women's and family health Company provided life and ad&d insurance Opportunity to purchase additional life insurance for self, spouse, and dependents Company provided short and long-term disability insurance Career development Budgeted annual funds for professional development Growth opportunities within the company Additional perks Mutual of Omaha Employee Assistance Program Mutual of Omaha will preparation services Mutual of Omaha travel assistance Payroll dedication pet insurance through PinPaws 1Password family account We work to maintain the best possible environment for our staff, where people can learn and grow. We strive to provide a diverse, collaborative, team-oriented, creative environment where each person feels encouraged to contribute to our processes, decisions, planning, and culture. HOW DO I APPLY To apply for this opportunity, send your resume and cover letter with salary expectations. PROTECTING YOUR PERSONAL INFORMATION: During the recruiting process, please note that Common App will never: Provide a job offer without an interview Ask for payment to process documents, purchase equipment or for any other reason Request banking or credit card information Direct you to third-party services to obtain visas or other documentation As we work alongside you through our recruitment process, please remain alert and never provide financial information or payment to anyone claiming to offer a job opportunity. If you believe you're a victim of a job scam, report it to the Federal Trade Commission (FTC) or your state attorney general. To learn more about job scams, read the FBI's public service announcement or visit the FTC site.

Job Description Job Description Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for a Senior AI Technical Lead to join our growing AI and Automation practice. In this role, you will design and lead the development of cutting-edge AI solutions that drive real-world impact across federal programs. You will guide cross-functional teams, shape technical strategy, and mentor engineers in a fast-paced, mission-driven environment. The ideal candidate is a hands-on leader with a strong background in AI/ML development, cloud platforms, and enterprise-scale systems design. Responsibilities include, but are not limited to: Lead the design, development, and deployment of scalable AI and ML models and systems Translate business requirements into technical solutions across multiple federal missions Oversee the AI/ML development lifecycle, including architecture design, experimentation, and performance optimization Collaborate with cross-functional teams (DevOps, Data Engineering, Cybersecurity) to integrate AI into production environments Provide technical mentorship and conduct code/design reviews for junior and mid-level engineers Research and evaluate emerging AI/ML tools, technologies, and frameworks to drive innovation Ensure all solutions meet federal security, compliance, and cloud architecture standards Requirements Master's degree in AI, Machine Learning, or a related field Minimum of 5+ years of hands-on experience in AI/ML solution development Demonstrated experience leading AI/ML initiatives or technical teams Strong understanding of agentic AI including Transformers, Model Context Protocol, Agent2Agent Protocol, LangGraph, and other modern frameworks. Proficiency in Python and Typescript for application development and advanced scripting, Experience deploying AI solutions in AWS, Azure, or GCP environments Familiarity withCI/CD, containerization (Docker, Kubernetes), and DevOps principles Experience with Agile methodologies and tools (e.g., Git, Jira) Must be a U.S. Citizen and eligible to obtain a DoD Secret clearance Preferred Qualifications Strong understanding of data engineering and data modeling concepts Experience with data visualization tools such as Power BI or Tableau Knowledge of cybersecurity principles, Zero Trust Architecture, RMF and FedRAMP compliance Prior experience with federal or public sector digital modernization projects Familiarity with Lean Six Sigma, ITIL, or service-oriented architecture (SOA) frameworks Salary Range: $185,000 - $215,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development

Overview We are looking for a hands-on Technical Lead and experienced .NET engineer to help lead the development of a newly formed Adherence Engineering Team. This team will design and build technology solutions that help medical practices improve patient vaccination adherence through targeted outreach and automation. Early pilot programs have already demonstrated strong results, showing over a 10% increase in vaccination rates when practices leverage patient outreach tools. This team will play a key role in scaling and operationalizing those capabilities to support our growing network of practices and improve patient health outcomes. This role is ideal for a technical leader who enjoys building high-quality software, mentoring engineers, and shaping scalable platform architecture. What You'll Do Provide technical leadership for a new engineering team focused on adherence and patient engagement solutions. Help build a collaborative engineering culture grounded in trust, craftsmanship, and delivery excellence. Design and develop scalable, high-performance software architectures. Guide the team in building maintainable, well-tested code with strong automation practices. Partner with product and business teams to define and evolve the future of vaccine adherence solutions. Lead development efforts from architecture and design through production deployment and support. Mentor and develop engineers, helping grow technical skills across the team. Required Experience 3+ years of experience in a technical lead or team lead role 5+ years developing enterprise applications using .NET Strong expertise in C#, .NET, and SQL Server Experience building service-based and distributed applications Experience with technologies and patterns such as: ASP.NET / ASP.NET Core Single Page Applications (Angular, React, or similar frameworks) Message brokers or service buses (RabbitMQ, Azure Service Bus, etc.) Dependency Injection / Inversion of Control (IoC) Task scheduling frameworks (Quartz.NET or similar) Third-party API integrations Automated testing frameworks (MsTest, NUnit, xUnit) Long-running workflows that balance performance and reliability Desired Skills Strong analytical and problem-solving abilities Curiosity to understand business challenges and translate them into effective technical solutions Passion for continuously improving software quality and architecture Ownership mindset - comfortable leading solutions from design through production Enthusiasm for mentoring and developing junior engineers Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description You will be part of a dynamic team of solution engineers who deliver, integrate & architect highly available and scalable infrastructure solutions for on-prem and public clouds, focused on Kubernetes, cloud technologies and automation skills. You will work on innovative solutions that combine deep technical expertise with AI/ML capabilities to drive next-generation solution design and architecture. Essential Functions Develop and architect solutions that are robust and scalable, integrating AI capabilities with Visa's technical ecosystem Develop integrations with AI/ML frameworks, chatbots, and agents to enhance automation Lead technical initiatives leveraging agentic AI, LLMs to automate workflows and improve developer experience Deliver secure, highly available and scalable infrastructure solutions through automation Experienced with docker, container and Kubernetes for container orchestration Hands-on experience in driving the design and implementation of solutions on one of the major public clouds, such as AWS, GCP, Azure with expertise in assessing, developing or migrating well architected applications for containers and cloud Design and build using infrastructure as code and automated testing Develop standard automation templates for deployment of public cloud infrastructure and platform components This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 2 or more years of work experience with a Bachelor's Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD) Preferred Qualifications • 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) • 5 or more years of relevant work experience in systems architecture, engineering or development including experience in cloud automation frameworks, Hybrid cloud infrastructure deployments with a bachelor's degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD • Experience with AI agent frameworks, LLMs, or generative AI applications (Claude, GPT, etc.) • Knowledge of AI-powered development tools (Claude Code, GitHub Copilot, etc.) or building similar systems • Experience applying AI to solve engineering challenges and converting business processes into automated agentic workflows • Experience in designing, building, and running production systems in cloud or migrating to the cloud and or containers, practicing infrastructure as code, automated testing, and automating infrastructure tasks • Automation championing through robust automation using Python, Java, and Go to streamline end-end delivery of automated application deployment • Best in class Software Developer including Continuous Integration and Continuous Deployment (CICD) pipeline tools such Jenkins and proficient in git • Solid understanding of Linux/Unix systems, networking protocols, certificate management, secret management, system design, cloud platforms (AWS, Azure, GCP), and containerization (Kubernetes, Docker) • Experience with cloud platforms (AWS, Azure, GCP) and modern architectures • Knowledge of API design, microservices, and distributed systems • Demonstrated experience with hands-on Infrastructure as Code (IaC) development and deployment in Hybrid Cloud (AWS, Azure and GCP) deployments • Knowledge of AI/ML and Generative AI algorithms, and their architectural design • Proficient with container deployments and troubleshooting in Kubernetes environments Information for US Applicants For roles located in the US, the estimated salary range for this position is $110,700.00 to $ 171,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Role Summary: The Sr. ML Engineer is responsible for building and maintaining ML platform infrastructure that powers AI/ML applications across the organization. This role is suited for a hands-on engineer with practical experience in AWS, SageMaker, Kubernetes, GPU orchestration, Infrastructure as Code, and MLOps, with a passion for building scalable, secure, and reliable platforms. The position requires an experienced ML platform engineer who can design cloud and on-prem infrastructure, manage model deployment environments, modernize legacy ML pipelines, and enable Data Scientists and AI Engineers to move models from research to production. The team is tasked with building scalable ML infrastructure and platform tooling, and the successful candidate will contribute to architectural decisions, implementation standards, and best practices across the ML platform. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools, Microsoft Copilot, ChatGPT, GitHub Copilot, and other AI-enabled productivity platforms to support everyday work. Key Responsibilities: Lead and deliver specific platform engineering deliverables as a Sr. ML Engineer. Provide guidance to the engineering team on building scalable ML infrastructure, deployment patterns, and platform capabilities. Improve the productivity of Data Scientists and AI Engineers by developing tooling that simplifies model deployment and productionization. Act as a platform design authority and shape best practices and methodologies within the ML platform team. Design and build scalable ML pipelines, orchestration frameworks, and model serving infrastructure. Collaborate with Data Scientists, AI Engineers, infrastructure teams, and security partners to integrate AI/ML solutions into production systems. Build and operate secure cloud and on-prem infrastructure using AWS, Kubernetes, SageMaker, Terraform, and related platform technologies. Support GPU-enabled infrastructure and serving frameworks for AI/ML, GenAI, and LLM workloads. Modernize legacy ML pipelines and adopt emerging technologies to improve reliability, scalability, and operational efficiency. Communicate technical concepts, platform capabilities, and architectural decisions to technical and non-technical stakeholders. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience Preferred Qualifications: Specialist: 4 or more years of relevant work experience. Experience designing, building, and maintaining scalable ML platform infrastructure for AI/ML applications. Experience with AWS services such as EC2, S3, EKS, SageMaker, IAM, VPC, and CloudWatch. Experience managing Kubernetes clusters and containerized ML workloads using Docker. Experience with ML pipeline and orchestration tools such as Kubeflow, Airflow, MLflow, or similar platforms. Experience building infrastructure automation using Terraform, CloudFormation, or other Infrastructure as Code tools. Experience developing CI/CD pipelines for ML model deployment and infrastructure changes. Experience implementing secure cloud architectures using IAM roles, VPCs, least-privilege access, and secure networking patterns. Experience with Python and shell scripting for automation, tooling, and platform operations. Experience collaborating with Data Scientists, AI Engineers, and cross-functional teams to move models from research to production. Experience with generative AI, large language models, LLMOps, or GenAI infrastructure. Experience with GPU orchestration for ML training, inference, capacity management, and workload optimization. Experience with ML serving frameworks such as vLLM, TensorRT-LLM, KServe, Triton, or similar technologies. Experience building and operating hybrid cloud or on-prem/cloud ML infrastructure. Experience with distributed computing frameworks such as Spark or distributed ML workloads. Experience improving infrastructure productivity using AI-assisted tools such as GitHub Copilot, ChatGPT, or similar tools. Experience developing robust, secure, and scalable platforms in enterprise or regulated environments. Experience conducting research, experimentation, or proof-of-concept work with emerging AI/ML infrastructure technologies. Experience mentoring junior engineers and leading implementation of key platform modules. Information for US Applicants For roles located in the US, the estimated salary range for this position is $123,400.00 to $ 191,100.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Role Summary: The Sr. Manager; Software Engineering leads a team responsible for reviewing business requirements and developing functional and technical design documentation. This role oversees the design and implementation of testing procedures for APIs, abstractions, and integration patterns to address distributed computing challenges, including end-to-end and integration testing. The Sr. Manager participates in design reviews, providing input on requirements, product designs, schedules, and potential issues, and works across the team to ensure productivity, predictability, and delivery of high-quality results. The position includes accountability for code review and the team's development and testing activities, as well as participation in proof of concepts and technical evaluations of new technologies. The Sr. Manager is expected to foster a collaborative environment, ensuring the team meets business needs and delivers robust solutions. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) and agentic development to support everyday work. Essential Functions: People Leadership: Direct, mentor, and build a high-performing team of 8+ software engineers. Drive career development, performance management, regular 1:1s, and goal setting. Team Execution & Delivery: Oversee end-to-end application development deliverables including unit design, coding, code reviews, testing, and release management. Resource & Capacity Planning: Manage team workload, sprint planning, hiring, onboarding, and resource allocation to meet project timelines and deliverables. Technical & Strategic Guidance: Collaborate with technical leads, architects, and product managers to define solution approaches, assess scope, and evaluate technical feasibility. Agile Leadership: Drive agile development workflows utilizing modern open-source, CI/CD, and DevOps tools to streamline continuous integration and delivery pipelines. Cross-Functional Collaboration: Partner closely with global cross-functional teams, including product management, QA, security, and operations, to resolve blockers and ensure aligned delivery. Compliance & Quality: Ensure development adheres to Visa Development Management Methodology, Technical Security Requirements, and Secure Software Development Lifecycle (SSDLC) protocols. Documentation & Process Improvement: Maintain clear software, operational, and architectural documentation while continually improving engineering practices and procedures. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 8+ years of relevant work experience and a Bachelors degree, OR 11+ years of relevant work experience. Experience building and supporting large-scale, high-performance, mission-critical applications. Strong hands-on software engineering experience, including coding, code reviews, and technical design. Proven ability to lead technical initiatives and drive architecture decisions. Experience with cloud-native technologies, distributed systems, APIs, and microservices. Experience supporting Tier-0 or highly available production systems. Ability to mentor engineers and provide technical leadership across engineering teams. Strong understanding of software engineering best practices, including CI/CD, testing, observability, and operational excellence Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD. 3+ years of direct people-management experience preferred; candidates who have led teams through technical influence, matrix leadership, or technical leadership without direct authority will also be considered Demonstrated experience leading software engineering teams, including delivery management, technical oversight, performance accountability, and talent development. Experience translating business and product requirements into scalable technical solutions, architecture decisions, delivery plans, and technical documentation. Proven ability to lead the design, development, testing, integration, deployment, and production support of complex, mission-critical applications. Strong experience overseeing API platforms, distributed systems, microservices, and enterprise integration patterns. Experience leading architecture and design reviews, evaluating technical tradeoffs, and ensuring solutions meet requirements for scalability, reliability, security, and performance. Experience establishing engineering standards and maintaining accountability for code quality, testing, secure development, release readiness, and production stability. Proven ability to manage delivery risks, dependencies, capacity, and priorities across multiple teams and cross-functional stakeholders. Experience evaluating emerging technologies, leading proofs of concept, and guiding their adoption based on business value, technical feasibility, risk, and operational readiness. Experience leading globally distributed engineering teams and collaborating across Product, Architecture, Security, SRE, Infrastructure, QA, and Operations. Strong understanding of distributed computing, cloud-native architecture, microservices, event-driven systems, and multi-region deployments. Experience building or operating large-scale, mission-critical systems on Google Cloud using technologies such as GKE, Cloud Run, Pub/Sub, Cloud Spanner, Cloud SQL, Bigtable, or Dataflow. Demonstrated success delivering secure, resilient, and high-quality solutions in a fast-paced environment with competing priorities and complex dependencies. Experience applying CI/CD, DevOps, infrastructure-as-code, observability, SRE, capacity planning, incident management, and disaster-recovery practices. Ability to communicate technical strategy, architecture decisions, delivery risks, and recommendations clearly to engineering teams, cross-functional partners, and senior leadership. Experience integrating emerging technologies, including AI-assisted engineering capabilities, into software development practices while maintaining appropriate security, quality, and governance controls. Information for US Applicants For roles located in the US, the estimated salary range for this position is $192,100.00 to $ 307,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Job Summary Software Development Engineers are expert problem-solvers and builders who design, implement, and improve software applications and systems. In this role, engineers spend approximately 60-75% of their time coding, working hands-on with code, data, and modern tools including AI-assisted development, cloud services, automation frameworks, and mobile technologies to deliver secure, scalable, and high-quality solutions that drive business outcomes in the fintech sector. This position focuses on developing innovative mobile applications, SDKs, and platform capabilities that enable secure authentication, digital identity, payment security, fraud prevention, and customer engagement experiences across Android and iOS platforms. Engineers collaborate with product managers, architects, designers, QA engineers, operations teams, and compliance partners to deliver resilient, secure, and scalable mobile solutions used by millions of consumers worldwide. All roles require digital fluency, including the ability to effectively leverage emerging technologies such as Generative AI tools (e.g., Microsoft Copilot, GitHub Copilot, ChatGPT, and Agentic Development workflows) to improve engineering productivity, software quality, and developer experience. Key Responsibilities: Software Engineering & Solution Delivery: Collaborate with stakeholders to determine requirements for product components and incorporate feedback into future designs and solutions. Translate functional requirements into system designs and communicate component interactions, ensuring alignment with business objectives and timelines. Design and develop product components, refine implementation plans, and participate in design reviews to ensure completeness and adherence to requirements. Contribute to project estimation, delivery planning, and risk identification. Lead by example in creating, implementing, and maintaining extensible, reusable, and maintainable code. Apply debugging, monitoring, and observability tools to resolve complex technical issues and identify opportunities for automation. Lead code reviews and drive adherence to coding standards, security requirements, and engineering best practices. Develop comprehensive testing strategies, identify coverage gaps, and proactively address defects to minimize customer impact. Leverage operational metrics, analytics, and monitoring data to improve product reliability and performance. Participate in on-call rotations and assist with incident response, troubleshooting, and production support activities. Continuously learn emerging technologies and contribute innovative solutions that improve products, development processes, and engineering practices. Mobile Engineering: Design, develop, test, deploy, and support native Android and/or iOS applications. Build scalable, secure, resilient, and high-performing mobile experiences. Collaborate closely with backend, platform, product, and security teams to deliver customer-focused solutions. Drive architecture decisions and engineering standards across mobile platforms. Optimize performance, responsiveness, memory utilization, and battery efficiency. Support production troubleshooting and continuous service improvement initiatives. Mobile Platform Engineering, SDK Development & Release Automation (Strong Plus) Candidates with experience in mobile platform engineering, SDK development, and release automation will be highly preferred. Design, develop, and maintain scalable, secure, and high-performing mobile applications, SDKs, and reusable frameworks that support enterprise-grade customer experiences across Android and iOS platforms. Build and evolve developer-facing SDKs, APIs, and platform capabilities, while creating comprehensive technical documentation, sample applications, and integration guides that enable successful adoption by internal teams and external partners. Lead the implementation of modern mobile DevOps practices by designing and maintaining automated CI/CD pipelines that streamline development, testing, security validation, deployment, and release management processes. Own the end-to-end mobile release lifecycle, including SDK versioning, backward compatibility, code signing, application publishing, App Store and Google Play deployments, rollout strategies, and production support. Drive continuous improvement in engineering productivity, developer experience, platform reliability, and customer integration success through automation, tooling, operational excellence, and engineering best practices. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 5+ years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. Experience in software engineering or a directly related field. Experience developing and supporting native mobile applications on Android and/or iOS platforms. Preferred Qualifications: 6+ years of work experience with a Bachelor's Degree or 4+ years of relevant experience with an Advanced Degree (e.g., Master's, MBA, JD, MD) or up to 3 years of relevant experience with a PhD. Experience leading technical initiatives, mentoring engineers, and driving engineering best practices with or without direct reports. Experience designing, building, and maintaining scalable software solutions and services. Experience creating and maintaining test strategies, test plans, and quality assurance processes. Experience debugging, troubleshooting, and resolving complex software issues in production environments. Experience collaborating with cross-functional teams to deliver technical solutions and business outcomes. Experience conducting code reviews and enforcing coding standards, security requirements, and software engineering best practices. Experience building, enhancing, or supporting developer tools, automation capabilities, and engineering productivity initiatives. Experience designing, developing, and supporting enterprise-grade Android and/or iOS applications. Experience building and maintaining mobile SDKs, reusable libraries, and developer-facing APIs. Experience implementing mobile CI/CD pipelines, deployment automation, release engineering, and mobile DevOps practices. Experience building and testing enterprise-scale applications, services, and mobile platforms. Experience working on customer-facing products, technical teams, or platform engineering organizations. Experience with mobile deployment and delivery tools such as GitHub Actions, Jenkins, Azure DevOps, Fastlane, Bitrise, CocoaPods, Swift Package Manager (SPM), Google Play Console, and App Store Connect. Experience in Payments, FinTech, Digital Identity, Authentication, Fraud Prevention, Risk Management, or Cybersecurity domains. Experience leveraging Generative AI and AI-assisted development tools such as Microsoft Copilot, GitHub Copilot, ChatGPT, or similar technologies to improve software delivery and developer productivity. Information for US Applicants For roles located in the US, the estimated salary range for this position is $137.200,00 to $ 219.700,00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.