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Job Description Job Description The Hardware Technical Lead is the senior portfolio-level technical authority for hardware architecture, common interfaces and standards, lifecycle, and manufacturability across 3dB Labs products. The role establishes a coherent hardware foundation while allowing product-specific approaches when mission or technical requirements justify them. Product Managers own what and why; Product Technical Leads own the integrated solution for assigned products. This role owns portfolio hardware coherence and decisions affecting shared platforms, components, interfaces, or production baselines. It partners with the Software Technical Lead, Engineering, Production, and QA; Engineering leadership retains staffing and personnel management. Key Responsibilities Portfolio Hardware Architecture & Standards Establish common hardware architecture principles and standards for compute, electrical and mechanical design, power, thermal, RF, networking, connectors, and other shared interfaces as applicable. Identify opportunities to standardize components, platforms, and interfaces where reuse improves reliability, cost, supply resilience, production efficiency, or sustainment. Review major hardware and platform decisions that could affect multiple products or baselines and ensure portfolio-level standards and decisions are documented. Product Integration & Design Governance Partner with Product Technical Leads early in requirements and design to ensure hardware approaches and interfaces are technically sound and portfolio-aware. Lead or participate in design reviews and trade studies for significant new hardware, redesigns, and technology refreshes, balancing performance, SWaP, reliability, cost, lead time, manufacturability, and integration risk. Serve as the technical escalation point for cross-product hardware issues and coordinate with the Software Technical Lead on drivers, compute constraints, interfaces, and hardware/software integration. Lifecycle, Obsolescence & Supply Risk Maintain visibility into shared component and platform lifecycle risks, vendor end-of-life events, lead times, and supply constraints across the portfolio. Partner with Product Managers, Product Technical Leads, and Production to plan technology refreshes and transitions before lifecycle risks become delivery or customer disruptions. Support platform and component selection, make/buy and vendor evaluations, backward-compatibility decisions, and transitions between hardware baselines. Manufacturability, Quality & Production Transition Partner with Production and Quality to ensure hardware can be built, tested, inspected, serviced, and sustained repeatably, with appropriate design-for-manufacture and design-for-test practices. Ensure hardware transitions to Production with stable designs and the required build, assembly, test, configuration, and technical data. Use production and field failures, root-cause analysis, and lessons learned to improve common hardware standards and prevent recurring issues across products. Desired Qualifications Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Systems Engineering, or a related technical field; advanced degree is a plus. Significant hardware or systems engineering experience with architecture or technical leadership responsibility for complex, integrated products. Demonstrated experience across electrical, mechanical, compute, RF, power, thermal, networking, or other relevant hardware domains, including design-for-manufacture and design-for-test considerations. Proven ability to lead trade studies and design reviews, assess technical estimates and risks, guide component/platform/vendor decisions, and mentor senior engineers and technical leads. Experience with ruggedized systems, RF/electronics, defense or mission systems, and low-volume/high-complexity manufacturing is highly desirable. Current or past US security clearance is a major plus, ability to obtain a Top Secret clearance required. US citizenship is required for all of our positions. Powered by JazzHR NuS0EufPMf

Job Description Job Description The Role This position will report to the Director, Indirect Procurement and work closely with team members, key support departments, and critical cross-functional partners across the business. This role is central to ensuring that goods and services are sourced in the most cost-effective and strategically sound manner by evaluating contracts, qualifying suppliers, and driving reporting and tracking across assigned spend categories. The Procurement Manager will be accountable for profit enhancement through negotiations and enabling differentiated sourcing solutions, while maintaining high quality and speed of business. This role will drive organizational goals and efficiencies, and serve as the foundation for scalable category strategies across GTI's full indirect spend portfolio. Responsibilities This role manages spend and supplier relationships across GTI's broad indirect portfolio. Category assignments will evolve with business priorities and the individual's areas of expertise, and may include: CapEx & Operations - construction, cultivation, engineering, extraction, and lab testing IT & Technology - software/SaaS, cloud infrastructure, hardware, managed services, telecom Corporate Services - HR, legal, finance, marketing, staffing, travel & expense Facilities & Real Estate - MRO, site services (maintenance, janitorial, pest control, etc.) security, and uniforms Retail & Revenue - store supplies, point-of-sale materials, and digital platforms Category Strategy & Sourcing Develop and own multi-year category strategies grounded in market intelligence, spend analysis, and stakeholder insight Execute and champion the Indirect Procurement strategic sourcing process for assigned categories, including CapEx & Operations, IT & Technology, Corporate Services, Facilities & Real Estate, Retail & Revenue, and other categories as assigned by GTI leadership Lead competitive sourcing events (RFI/RFP/RFQ) from scoping through award which includes preparing documentation, working closely with stakeholders to understand requirements, managing the process, and delivering both savings and quality improvements Continuously monitor market trends, supplier landscapes, and pricing dynamics to identify and act on proactive opportunities Negotiation & Contracting Drive complex, high-stakes supplier negotiations leveraging GTI's scale to secure favorable commercial terms, SLAs, and risk protections Partner with Legal to structure, review, and execute contracts that protect GTI's interests and support operational flexibility Lead contract renewals and renegotiations with a proactive, calendar-based approach Supplier Relationship Management Build and manage a high-performing supplier base through structured scorecards, business reviews, and performance accountability Act as the primary point of contact and subject matter expert for contracts and supplier matters within assigned categories Identify and mitigate supplier risks before they become business disruptions, and formulate recommended mitigation strategies Cultivate strategic partnerships with key suppliers that generate mutual long-term value Stakeholder Partnership Embed as a true business partner with cross-functional leaders across Finance, Operations, Marketing, IT, HR, Legal, and Retail Translate business needs into procurement strategies; communicate procurement outcomes in business language stakeholders care about Serve as the voice of procurement in cross-functional projects, ensuring sourcing is included early Support cross-functional teams by identifying internal customers and stakeholders; resolve issues and inform Procurement Leadership of conflicts between stakeholder requirements and sourcing strategy Financial Performance & Reporting Own savings identification, tracking, and reporting for assigned categories Build business cases for sourcing initiatives, quantifying total cost of ownership (TCO) and ROI Maintain accurate spend data, supplier records, contract metadata, and performance statistics to support analytics and leadership reporting Process & Compliance Follow procurement strategies, policies, and procedures as defined by leadership; develop a comprehensive understanding of business and user requirements for assigned spend categories Champion procurement policy adherence across the organization; educate internal customers on proper purchasing channels and approval workflows Ensure all supplier onboarding, contract execution, and purchasing activity meets GTI's compliance, security, and regulatory standards Support continuous improvement of procurement tools, templates, and processes as the team scales Execute all necessary communications to ensure accurate and timely flow of information to internal customers, partners, and suppliers Support full P2P process including issuing POs Special projects as assigned by leadership Qualifications Bachelor's degree in a relevant field: Business, Supply Chain, Finance, or related discipline 5+ years of indirect procurement or strategic sourcing experience, with a proven track record of category ownership and measurable savings delivery across multiple indirect categories Experience managing competitive sourcing events (RFI/RFP/RFQ), negotiating complex commercial agreements, and executing contracts across a broad indirect portfolio Strong financial acumen and comfortable with spend analysis, TCO modeling, building savings business cases, and developing project plans, metrics, and milestones Demonstrated ability to influence senior stakeholders and manage competing priorities across business functions; ability to build relationships at all levels, both internally and externally Excellent written and verbal communication skills Highly motivated, self-directed, and innovative; able to work independently or collaboratively with keen judgment, common sense, and resourcefulness Adapts and thrives in a demanding, fast-paced, high-growth environment Operates with a high level of professionalism and integrity, including in handling confidential information Familiarity with eProcurement platforms (e.g., Coupa, Ariba, SAP, or similar) preferred Experience in a multi-site or multi-state operating environment preferred; cannabis, retail, CPG, or hospitality industry background a plus Additional Requirements Must pass any and all required background checks Must be and remain compliant with all legal or company regulations for working in the industry Must possess valid driver's license Must be a minimum of 21 years of age Must be approved by state badging agency to work in cannabis industry The pay range is competitive and based on experience, qualifications, and/or location of the role. Positions may be eligible for a discretionary annual incentive program driven by organization and individual performance. Green Thumb Pay Range $100,000-$130,000 USD

Job Description Job Description The Role This position will report to the Director, Indirect Procurement and work closely with team members, key support departments, and critical cross-functional partners across the business. This role is central to ensuring that goods and services are sourced in the most cost-effective and strategically sound manner by evaluating contracts, qualifying suppliers, and driving reporting and tracking across assigned spend categories. The Procurement Manager will be accountable for profit enhancement through negotiations and enabling differentiated sourcing solutions, while maintaining high quality and speed of business. This role will drive organizational goals and efficiencies, and serve as the foundation for scalable category strategies across GTI's full indirect spend portfolio. Responsibilities This role manages spend and supplier relationships across GTI's broad indirect portfolio. Category assignments will evolve with business priorities and the individual's areas of expertise, and may include: CapEx & Operations - construction, cultivation, engineering, extraction, and lab testing IT & Technology - software/SaaS, cloud infrastructure, hardware, managed services, telecom Corporate Services - HR, legal, finance, marketing, staffing, travel & expense Facilities & Real Estate - MRO, site services (maintenance, janitorial, pest control, etc.) security, and uniforms Retail & Revenue - store supplies, point-of-sale materials, and digital platforms Category Strategy & Sourcing Develop and own multi-year category strategies grounded in market intelligence, spend analysis, and stakeholder insight Execute and champion the Indirect Procurement strategic sourcing process for assigned categories, including CapEx & Operations, IT & Technology, Corporate Services, Facilities & Real Estate, Retail & Revenue, and other categories as assigned by GTI leadership Lead competitive sourcing events (RFI/RFP/RFQ) from scoping through award which includes preparing documentation, working closely with stakeholders to understand requirements, managing the process, and delivering both savings and quality improvements Continuously monitor market trends, supplier landscapes, and pricing dynamics to identify and act on proactive opportunities Negotiation & Contracting Drive complex, high-stakes supplier negotiations leveraging GTI's scale to secure favorable commercial terms, SLAs, and risk protections Partner with Legal to structure, review, and execute contracts that protect GTI's interests and support operational flexibility Lead contract renewals and renegotiations with a proactive, calendar-based approach Supplier Relationship Management Build and manage a high-performing supplier base through structured scorecards, business reviews, and performance accountability Act as the primary point of contact and subject matter expert for contracts and supplier matters within assigned categories Identify and mitigate supplier risks before they become business disruptions, and formulate recommended mitigation strategies Cultivate strategic partnerships with key suppliers that generate mutual long-term value Stakeholder Partnership Embed as a true business partner with cross-functional leaders across Finance, Operations, Marketing, IT, HR, Legal, and Retail Translate business needs into procurement strategies; communicate procurement outcomes in business language stakeholders care about Serve as the voice of procurement in cross-functional projects, ensuring sourcing is included early Support cross-functional teams by identifying internal customers and stakeholders; resolve issues and inform Procurement Leadership of conflicts between stakeholder requirements and sourcing strategy Financial Performance & Reporting Own savings identification, tracking, and reporting for assigned categories Build business cases for sourcing initiatives, quantifying total cost of ownership (TCO) and ROI Maintain accurate spend data, supplier records, contract metadata, and performance statistics to support analytics and leadership reporting Process & Compliance Follow procurement strategies, policies, and procedures as defined by leadership; develop a comprehensive understanding of business and user requirements for assigned spend categories Champion procurement policy adherence across the organization; educate internal customers on proper purchasing channels and approval workflows Ensure all supplier onboarding, contract execution, and purchasing activity meets GTI's compliance, security, and regulatory standards Support continuous improvement of procurement tools, templates, and processes as the team scales Execute all necessary communications to ensure accurate and timely flow of information to internal customers, partners, and suppliers Support full P2P process including issuing POs Special projects as assigned by leadership Qualifications Bachelor's degree in a relevant field: Business, Supply Chain, Finance, or related discipline 5+ years of indirect procurement or strategic sourcing experience, with a proven track record of category ownership and measurable savings delivery across multiple indirect categories Experience managing competitive sourcing events (RFI/RFP/RFQ), negotiating complex commercial agreements, and executing contracts across a broad indirect portfolio Strong financial acumen and comfortable with spend analysis, TCO modeling, building savings business cases, and developing project plans, metrics, and milestones Demonstrated ability to influence senior stakeholders and manage competing priorities across business functions; ability to build relationships at all levels, both internally and externally Excellent written and verbal communication skills Highly motivated, self-directed, and innovative; able to work independently or collaboratively with keen judgment, common sense, and resourcefulness Adapts and thrives in a demanding, fast-paced, high-growth environment Operates with a high level of professionalism and integrity, including in handling confidential information Familiarity with eProcurement platforms (e.g., Coupa, Ariba, SAP, or similar) preferred Experience in a multi-site or multi-state operating environment preferred; cannabis, retail, CPG, or hospitality industry background a plus Additional Requirements Must pass any and all required background checks Must be and remain compliant with all legal or company regulations for working in the industry Must possess valid driver's license Must be a minimum of 21 years of age Must be approved by state badging agency to work in cannabis industry The pay range is competitive and based on experience, qualifications, and/or location of the role. Positions may be eligible for a discretionary annual incentive program driven by organization and individual performance. Green Thumb Pay Range $100,000-$130,000 USD

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Sr. Manager, Operations Intelligence with CoverMyMeds leads the Data and Insights Pod within the Operations Digital Strategy organization, building and operating the analytics infrastructure, governance structures, and reporting capabilities that power AI, automation, and data-driven decision-making across CMM Operations. This role oversees the intelligence layer data foundation, assists in leading the Ops Automation and Efficiency steering forum, and supports data-driven decision-making across operational functions. The Sr. Manager manages a team of analysts and works closely with Finance, external engineering vendors, and operational leaders across the business. Key Responsibilities: Lead the Data and Insights Pod - managing a team with an identified set of skills required to assist all Ops Automation work Assist the Ops Automation and Efficiency steering forum and any other necessary meetings for Digital Strategy Drive CMM-wide digital workload measurement - implementing a shared definition Manage efficiency savings reporting - reconciling automation results with Finance and Ops Design while presenting findings to leadership Oversee intelligence layer data quality and availability monitoring - maintaining reliable, current data pipelines Partner with external vendors to ensure data architecture and pipeline delivery meet business quality requirements Manage and lead all team members including their plans for development Basic Requirements: Bachelor's degree in a quantitative field such as Business Analytics, Statistics or Information Systems, or equivalent experience, and typically requires 9 or more years of progressive experience in data analytics, business intelligence, or data strategy, with at least 1 year in a people leadership role Demonstrated experience building and operating governance structures such as steering forums, decision logs, and prioritization frameworks Proficiency in at least one business intelligence platform such as Power BI or Tableau, including data modeling Experience producing finance-grade reporting that has been reviewed and approved by a Finance function Preferred Skills/Experience: Experience in healthcare operations, contact center analytics, or similarly regulated environments Familiarity with cloud data platforms such as Snowflake, Azure, or Databricks Advanced degree in a quantitative discipline Experience overseeing vendor-delivered data engineering work without directly building the pipelines Ability to communicate analytical findings clearly to non-technical executive audiences We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $113,300 - $188,800 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Sr. Manager, Operations Intelligence with CoverMyMeds leads the Data and Insights Pod within the Operations Digital Strategy organization, building and operating the analytics infrastructure, governance structures, and reporting capabilities that power AI, automation, and data-driven decision-making across CMM Operations. This role oversees the intelligence layer data foundation, assists in leading the Ops Automation and Efficiency steering forum, and supports data-driven decision-making across operational functions. The Sr. Manager manages a team of analysts and works closely with Finance, external engineering vendors, and operational leaders across the business. Key Responsibilities: Lead the Data and Insights Pod - managing a team with an identified set of skills required to assist all Ops Automation work Assist the Ops Automation and Efficiency steering forum and any other necessary meetings for Digital Strategy Drive CMM-wide digital workload measurement - implementing a shared definition Manage efficiency savings reporting - reconciling automation results with Finance and Ops Design while presenting findings to leadership Oversee intelligence layer data quality and availability monitoring - maintaining reliable, current data pipelines Partner with external vendors to ensure data architecture and pipeline delivery meet business quality requirements Manage and lead all team members including their plans for development Basic Requirements: Bachelor's degree in a quantitative field such as Business Analytics, Statistics or Information Systems, or equivalent experience, and typically requires 9 or more years of progressive experience in data analytics, business intelligence, or data strategy, with at least 1 year in a people leadership role Demonstrated experience building and operating governance structures such as steering forums, decision logs, and prioritization frameworks Proficiency in at least one business intelligence platform such as Power BI or Tableau, including data modeling Experience producing finance-grade reporting that has been reviewed and approved by a Finance function Preferred Skills/Experience: Experience in healthcare operations, contact center analytics, or similarly regulated environments Familiarity with cloud data platforms such as Snowflake, Azure, or Databricks Advanced degree in a quantitative discipline Experience overseeing vendor-delivered data engineering work without directly building the pipelines Ability to communicate analytical findings clearly to non-technical executive audiences We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $113,300 - $188,800 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

Job Description Job Description COMPANY: Canoe Intelligence WEBSITE : TITLE: Sr. Machine Learning Engineer LOCATION: Hybrid in New York City or London SALARY : $180,000 - $220,000 (based on NYC, will be adjusted for geo) The Role: We are looking for a Senior Machine Learning Engineer to design and deploy models that make sense of highly complex, unstructured financial documents, enabling us to deliver data with unprecedented accuracy, speed, and trust. You'll work hands-on with LLM and other ML Models, helping scale Canoe's platform while shaping how alternative investment firms interact with their data. What You'll Do: Design, train, and evaluate ML models for document classification, entity extraction, summarization, and information retrieval. Fine-tune and optimize large language models for domain specific use cases, optimizing their performance for accuracy, efficiency, and scalability. Work closely with data engineering teams to preprocess and engineer features from large datasets to enhance the performance of machine learning models. Build scalable, production-ready ML services with strong observability, monitoring, and retraining capabilities. Contribute to Canoe's MLOps stack, including CI/CD for models, feature stores, evaluation frameworks, and data versioning. Collaborate with product managers, software engineers, and other stakeholders to integrate machine learning models into end-to-end solutions. Stay current with advancements in LLMs, Agentic AI, and ML, and translate new research into practical improvements to Canoe's technology stack. Conduct code reviews to ensure code quality and provide mentorship to junior members of the machine learning team. What We're Looking For: Minimum of 5 years of experience in applied ML engineering, with a focus on NLP, information extraction, or LLMs. Proficiency in Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch). Strong understanding of MLOps (Docker, Kubernetes, CI/CD for ML, experiment tracking). Proficiency with AI-assisted development tools (e.g., GitHub Copilot, Claude Code agent) to accelerate software development, prototyping, testing, and deployment of ML solutions. Problem-solver with a product mindset and bias toward outcomes. Excellent communication skills; able to partner across engineering, product, and business teams. Comfortable in fast-paced, agile startup environments. Bachelor's degree in computer science or related field. Preferred Master Degree or PhD in computer science or related field Experience in training and deploying large language models. Familiarity with cloud computing platforms and distributed computing. Familiarity with modern ML Ops tools such as Modal, Weights and Biases, Sagemaker, etc. Experience with LLM fine-tuning techniques such as LoRA, QLoRA, or parameter-efficient training frameworks (e.g., Unsloth). What You'll Get: Medical, dental, vision benefits Flexible PTO 401(k) Flexible work from home policy Home office stipend Employee Assistance Program Gym/Wifi reimbursement Education assistance Parental Leave Our Values: Client First -> Listen, and deliver client-centric solutions Be An Owner -> Take initiative, improve situations, drive positive outcomes Excellence -> Always set the highest standard for yourself and others Win Together -> 1 + 1 = 3 Who We Are: Canoe is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms and wealth managers. By combining industry expertise with the most sophisticated data capture technologies, Canoe's technology automates the highly-frustrating, time-consuming, and costly manual workflows related to alternative investment document and data management, extraction and delivery. With Canoe, clients can refocus capital and human resources on business performance and growth, increase efficiency, and gain deeper access to their data. Canoe's AI-driven platform was developed in 2013 for Portage Partners LLC, a private investment firm. Canoe is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Job Description Job Description What you'll be part of Garner is on a mission to transform the U.S. healthcare system - and we're the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare "win win" - better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. - and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking a Senior Site Reliability Engineer to own the reliability, performance, and resilience of the cloud infrastructure powering Garner's products and AI/ML workloads. This role sits on our Platform Engineering team. You will run the machine: defining and upholding SLOs, leading incident response, and driving the automation and standards that let every Garner engineer ship faster and more reliably. Because our systems directly influence health outcomes for millions of patients, maintaining the highest standards of production quality is imperative. This is an automation-first role: you will use AI tools to continuously convert manual operational work into monitored, hands-free processes, so the role gets more leveraged as you build. Where you will work: Garner is headquartered in NYC, but this position is available for individuals who are comfortable with remote work and occasional travel to HQ. What you will do: Run the Machine: Own the end-to-end reliability, performance, and resilience of Garner's cloud environments (AWS, Kubernetes), including those powering AI/ML workloads; define, measure, and uphold SLOs across our critical services. Lead Incident Response: Serve in the on-call rotation, lead incident response, and drive deep-dive root cause analysis, seeing corrective actions through to resolution and rigorously reviewing infrastructure changes. Own Observability: Build and maintain the monitoring, alerting, and observability systems that let us detect and resolve issues before users feel them. Scale & Optimize: Translate ambiguous, high-performance scaling requirements into well-defined, automated, and composable infrastructure-as-code deliverables (Terraform); proactively identify and implement cost-efficiency and performance gains across the stack to maximize cloud ROI. Automate Away Toil: Pay down impactful tech debt and reduce operational toil, using AI tools and automation to convert repetitive operational work into hands-free, monitored processes, and holding our internal platform to the same rigorous standards as our customer-facing products. Enable Engineering: Build and maintain the deployment and observability standards that empower the broader engineering team to ship AI features faster and more reliably; communicate complex cloud and reliability concepts clearly to technical and non-technical stakeholders. Uphold Security & Compliance: Ensure our infrastructure and operations meet Garner's security and HIPAA compliance obligations. The ideal candidate has: 4+ years of hands-on experience operating production cloud infrastructure at scale in an SRE, DevOps, or platform engineering role. Deep expertise with Kubernetes and Terraform in a cloud-first environment (AWS preferred). A strong track record with production observability: defining SLOs, building monitoring and alerting, and leading incident response and blameless post-incident reviews. Strong software engineering fundamentals in Python or Go, applied to infrastructure automation (experience with Kubernetes APIs a plus). Experience driving cloud cost-efficiency and performance optimization across compute, storage, and networking. Experience supporting AI/ML or data-intensive workloads in production is a plus. Experience operating in a security-conscious or regulated environment (HIPAA, SOC 2) is a plus. Fluency with AI tools (e.g., Claude) applied to real engineering and operations workflows, or strong motivation to build it fast. A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback. Technologies we use: AWS, Kubernetes, Terraform, Istio, Python, Go, TypeScript, Postgres, NATS, Datadog, GitLab This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. We are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation Transparency: The target range for this position is 191 000.00. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use and email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at .

Job Description Job Description Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values-Stay Curious, Have Empathy, and Be Accountable-and are ready to make a significant impact, we encourage you to apply. Your Role: As a Site Reliability Engineer at Alpaca, you'll help keep our brokerage platform reliable, observable, and operable as we grow - working across our cloud infrastructure, Kubernetes platform, observability stack, messaging layer, and data layer. We're especially interested in candidates with strong PostgreSQL fundamentals who'd like to grow into deeper ownership of our database reliability posture: PostgreSQL sits on the trading-critical path, and we want this person to spend a meaningful share of their time leveling it up while still being a well-rounded SRE the rest of the week. Things You Get To Do Operate production day-to-day - oncall, incident response, postmortems, and the follow-ups that actually close the loop. Own reliability practice - define and refine SLIs/SLOs and error budgets, and help product teams live within them. Strengthen our observability across metrics, logs, traces, and alerting. Ship infrastructure through code in a GitOps workflow - cloud resources and Kubernetes workloads alike. Look after PostgreSQL : performance tuning, schema and migration review, online migrations on large tables, HA/DR, and CDC pipelines. Mentor engineers on reliability and database fundamentals through code review, design review, and pairing. Who You Are (must-haves) 4+ years in SRE, DevOps, Platform/Infrastructure, or backend engineering with significant production operations ownership. Hands-on experience operating production services on Kubernetes , and shipping infrastructure as code in a GitOps workflow. Solid working knowledge of PostgreSQL in production - query plans, pg_stat_ , indexing and schema trade-offs, and what a safe online migration looks like on a non-trivial table. Cloud networking fundamentals (VPCs, routing, L4/L7 load balancing, DNS, TLS) and comfort debugging cross-service connectivity. Comfortable with a modern observability stack and proficient with Linux at the operator level. Practiced in incident response - calm under pressure, structured debugging, postmortems that drive change. At least working proficiency in Go or Python , plus strong written and verbal communication. Genuine interest in databases and in growing your PostgreSQL/DBA expertise. Who You Might Be (Nice-to-Haves): Deeper PostgreSQL experience: large clusters at OLTP load, online migrations on big tables, HA/DR ownership, connection pooling at scale, or change-data-capture pipelines. Experience with typed SQL access layers in Go (e.g. pgx, gorm, sqlc). Production experience with messaging systems at scale (e.g. RabbitMQ, Kafka, Redpanda). Security & compliance experience in a regulated environment (SOC 2, secrets management, audit logging). Familiarity with trading, brokerage, or other regulated fintech domains. How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

Job Description Job Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About the Role CoreWeave's MetalDev team is seeking an experienced Senior Operations Engineer to join the MetalDev Operations team. Reporting to the Engineering Manager, this hands-on technical role focuses on service reliability, observability, and operational excellence. You will develop deep expertise in the Redfish-based services and automation tools used by frontline operations teams during data center bring-ups and in production environments. You will identify gaps in tooling and operational processes, partner with the engineering team to develop and validate fixes, and help ensure our automation operates reliably at scale. You will also submit change requests to hardware and firmware vendors, validate vendor-provided fixes, and continuously improve runbooks and on-call documentation to reduce recurring incidents and operational toil. In this role, you will work with cutting-edge infrastructure, including high-performance NVIDIA GPU servers, Cooling Distribution Units (CDUs), NVLink switches, and power shelves supporting GB200 and GB300 Vera Rubin NVL72 systems and custom in-house hardware. You will collaborate closely with the Hardware Engineering, Fleet Operations, and the Service Engineering teams. Approximately 80% of the role will focus on day-to-day operations, production support, and incident response. The remaining 20% will focus on improving operational processes, observability, documentation, and remediation capabilities and automation to prevent recurring incidents and increase service reliability. Key Responsibilities Triage and Troubleshooting Troubleshoot the team owned services, including initialization and reboot issues. Diagnose problems involving BMCs of, servers, DPUs, power shelves, Cooling Distribution Units (CDUs). Monitor fleet health, identify unhealthy devices, and coordinate remediation using established tools and procedures. Partner with Fleet Operations and other engineering teams to resolve complex or recurring production issues. Perform root-cause analysis and post-incident reviews, ensuring corrective actions are documented, tracked, and completed. Maintain clear incident communications, runbooks, escalation procedures, and operational records. Support the team owned services in production environments and participate in the team's on-call rotation. Observability, Reliability, and Vendor Partnerships Own monitoring, dashboards, alerts, and operational KPIs for the team owned services using Prometheus and Grafana. Define reliability objectives and drive measurable reductions in incidents, escalations, and recurring support requests. Investigate hardware, firmware, and issues in partnership with internal engineering teams and external vendors. Manage vendor support cases involving BMCs, servers, power systems, and cooling infrastructure. Collect and provide diagnostic data, track issues through resolution, and validate vendor fixes before production rollout. Documentation and Continuous Improvement Create and maintain operational documentation, troubleshooting guides, escalation procedures, and service-support materials. Capture and share incident findings and operational knowledge across the team and partner teams. Identify repetitive operational tasks and develop more efficient, consistent remediation processes. Evaluate team processes using operational data and incident trends, and recommend improvements. Minimum Qualifications 5+ of experience in cloud operations, site reliability engineering (SRE), infrastructure operations, or a related technical field. Working knowledge of Kubernetes and at least one public cloud platform, such as AWS or GCP. Experience deploying and supporting containerized applications in Kubernetes environments. Experience with incident management practices, including incident response, escalation, and post-incident review processes. Experience using Prometheus, Grafana, and PromQL for monitoring, alerting, and troubleshooting. Strong knowledge of Linux system administration and internals and scripting. Experience troubleshooting complex issues across software services, operating systems, networks, and physical infrastructure. Experience participating in an on-call rotation supporting production services. Strong analytical and problem-solving skills, with a methodical approach to troubleshooting. Excellent written and verbal communication skills, particularly during high-impact incidents. Strong documentation skills and attention to detail. Preferred Qualifications Experience with server hardware, BMCs, Redfish, IPMI, or hardware-management services. Experience troubleshooting server provisioning, reboot, provisioning, or lifecycle-management failures. Familiarity with high-performance computing, GPU infrastructure, DPUs, or large-scale AI clusters. Experience working in data center environments, including server racks, power-distribution equipment, and cooling systems. Experience collaborating directly with hardware or firmware vendors to qualify and validate fixes. Bachelor's degree in computer science, engineering, or a related discipline-or equivalent practical experience. Understanding of Python or Golang. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You enjoy working close to the hardware and are curious about how GPUs, servers, and data centers fit together. You thrive in infrastructure environments where reliability, performance, and automation matter as much as features. You like collaborating across hardware, platform, and product teams to solve complex, ambiguous problems. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $109,000 to $179,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace . click apply for full job details

Job Description Job Description Sr. Manager Quality Assurance Validation Computerization Systems The incumbent will be responsible for supporting the Computerized System project teams in the review and QA approval of system validation and infrastructure qualification documentation and protocols, in accordance with FDA regulations/guidelines, 21 CFR Part 11, EU Annex 11, GAMP5, ICH Q10 and latest industry practices. Will also be responsible for QA oversight of all GxP computerized system activities implementation projects for the company to ensure compliance with regulatory requirements. The scope includes working with multi-functional teams on system implementations, problem resolution, and process improvement projects. Assist in maintaining and, where applicable, improving the effectiveness of the computer system validation and data integrity program. Will participate in the execution of highly complex and specialized projects and must be innovative and practical in project validation problem-solving. Provide QA oversight and assurance that all GxP computerized system implementation and validation activities are executed in accordance with internal procedures and standards and meet all regulatory requirements. Contributes expertise and provides guidance in 21 CFR Part 11, GAMP5, and EU GMP Annex 11 requirements and data integrity principles and requirements as well as participates in assessments. Develops and evaluates quality processes and system standards to ensure compliance with company standards and governmental regulatory requirements. Work closely and collaboratively with various business partners including Information Technology and system owners to effectively and efficiently implement new computerized systems, system upgrades, or system modifications. Review and QA approve various types of system validation and infrastructure qualification documentation, including but not limited to, Master Plans, User Requirements and Functional Requirements Specifications, Design Specifications, IQ, OQ, PQ, Traceability Matrix, Validation protocols and reports. Coordinate implementation validation/qualification strategies and serve as the subject matter expert. Present project status reports to management as well as project teams. Review Change Control requests and assess impact to validation. Support the necessary computerized system validation activities for changes. Perform gap analysis of validation documentation, systems and practices. Communicate identified gaps including recommending and implementing corrective actions and improvements. Participate in supplier site Validation Assessments/Audits and assist to troubleshoot and improve systems and processes. Review corrective actions and implementation closure evidence of observations/recommendations identified in the report. Support internal, client, and regulatory audits and inspections. Generate or review/update computer system related policies, procedures, templates, forms, etc. Maintain up-to-date knowledge and understanding of quality system requirements as they apply to computerized system in accordance with cGxP's regulations, GAMP, industry standards, policies and procedures. Performs other quality system related duties as necessary. REQUIREMENTS Bachelor's Degree in a Scientific or Engineering discipline 8 + years of computerized system experience with IT compliance/validation/qualification activities. 8 + years of experience working in an FDA-regulated, GxP-related environment. Demonstrated experience and expertise in 21 CFR Part 11 to ensuring site compliance. Comprehensive knowledge in Software Validation and Data Integrity Principles. Demonstrated experience, results, and accomplishments in QMS and LIMS system implementations. Working knowledge or expertise in Software validation practices and Software Development Life Cycle (SDLC) models. Working knowledge or expertise in Validations of Databases, Custom Software, Configurable Software, Non-Configurable Software, Infrastructure Software, Off-the-shelf software and various computerized systems. Working knowledge or expertise in Design Qualifications (DQ), Installation Qualifications (IQ), Operational Qualifications (OQ), and Performance Qualifications (PQ). Knowledge of Software Risk Management Principles and tools. Knowledge and proven ability working with Risk Management methodologies and tools. Comprehensive knowledge of GAMP5, 21 CFR Part 11, and EU Annex 11 as well as FDA 21 CFR Parts 210/211 (cGMP), ICH Q10, Eudralex Vol 4. Knowledge of PMDA regulations a plus. Experience with application system validation and infrastructure qualification. Experience with vendor audit for computer systems (IT infrastructure, validation etc.) a plus. Experience with writing and approving Standard Operating Procedures and Quality Standards. 10% travel required. Proficient in Microsoft Office Suite (e.g., Word, Excel, Project, PowerPoint). Must have a participative management style, strong team development, coaching skills, and the ability to lead and motivate teams. Excellent verbal and written communication skills with the ability to communicate internally and externally to clients and suppliers. Solid organizational and time management skills, proven project management, presentation and facilitation skills. Innovation and strategic compliance skills including looking internally and externally for best practices. The ability to effectively build and maintain relationships with multiple departments in order to effectively solve problems. The ability to organize, prioritize and deliver tasks & projects with a sense of urgency under minimal supervision with attention to detail. Must be able to execute a variable workload with multiple priorities. The ability to enable and drive change while being focused on internal and external customers. Demonstrated results oriented, quick learner, team player; proactive with demonstrated ability to respond to urgent needs and deliver expected results within expected deadlines. Environment includes working with all levels of internal management and staff as well as with external clients, suppliers, and contractors. Work will be performed in both an office environment and a manufacturing facility, with exposure to varying degrees of ambient noise. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

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

Job Description Job Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About the Role CoreWeave's MetalDev team is seeking an experienced Senior Operations Engineer to join the MetalDev Operations team. Reporting to the Engineering Manager, this hands-on technical role focuses on service reliability, observability, and operational excellence. You will develop deep expertise in the Redfish-based services and automation tools used by frontline operations teams during data center bring-ups and in production environments. You will identify gaps in tooling and operational processes, partner with the engineering team to develop and validate fixes, and help ensure our automation operates reliably at scale. You will also submit change requests to hardware and firmware vendors, validate vendor-provided fixes, and continuously improve runbooks and on-call documentation to reduce recurring incidents and operational toil. In this role, you will work with cutting-edge infrastructure, including high-performance NVIDIA GPU servers, Cooling Distribution Units (CDUs), NVLink switches, and power shelves supporting GB200 and GB300 Vera Rubin NVL72 systems and custom in-house hardware. You will collaborate closely with the Hardware Engineering, Fleet Operations, and the Service Engineering teams. Approximately 80% of the role will focus on day-to-day operations, production support, and incident response. The remaining 20% will focus on improving operational processes, observability, documentation, and remediation capabilities and automation to prevent recurring incidents and increase service reliability. Key Responsibilities Triage and Troubleshooting Troubleshoot the team owned services, including initialization and reboot issues. Diagnose problems involving BMCs of, servers, DPUs, power shelves, Cooling Distribution Units (CDUs). Monitor fleet health, identify unhealthy devices, and coordinate remediation using established tools and procedures. Partner with Fleet Operations and other engineering teams to resolve complex or recurring production issues. Perform root-cause analysis and post-incident reviews, ensuring corrective actions are documented, tracked, and completed. Maintain clear incident communications, runbooks, escalation procedures, and operational records. Support the team owned services in production environments and participate in the team's on-call rotation. Observability, Reliability, and Vendor Partnerships Own monitoring, dashboards, alerts, and operational KPIs for the team owned services using Prometheus and Grafana. Define reliability objectives and drive measurable reductions in incidents, escalations, and recurring support requests. Investigate hardware, firmware, and issues in partnership with internal engineering teams and external vendors. Manage vendor support cases involving BMCs, servers, power systems, and cooling infrastructure. Collect and provide diagnostic data, track issues through resolution, and validate vendor fixes before production rollout. Documentation and Continuous Improvement Create and maintain operational documentation, troubleshooting guides, escalation procedures, and service-support materials. Capture and share incident findings and operational knowledge across the team and partner teams. Identify repetitive operational tasks and develop more efficient, consistent remediation processes. Evaluate team processes using operational data and incident trends, and recommend improvements. Minimum Qualifications 5+ of experience in cloud operations, site reliability engineering (SRE), infrastructure operations, or a related technical field. Working knowledge of Kubernetes and at least one public cloud platform, such as AWS or GCP. Experience deploying and supporting containerized applications in Kubernetes environments. Experience with incident management practices, including incident response, escalation, and post-incident review processes. Experience using Prometheus, Grafana, and PromQL for monitoring, alerting, and troubleshooting. Strong knowledge of Linux system administration and internals and scripting. Experience troubleshooting complex issues across software services, operating systems, networks, and physical infrastructure. Experience participating in an on-call rotation supporting production services. Strong analytical and problem-solving skills, with a methodical approach to troubleshooting. Excellent written and verbal communication skills, particularly during high-impact incidents. Strong documentation skills and attention to detail. Preferred Qualifications Experience with server hardware, BMCs, Redfish, IPMI, or hardware-management services. Experience troubleshooting server provisioning, reboot, provisioning, or lifecycle-management failures. Familiarity with high-performance computing, GPU infrastructure, DPUs, or large-scale AI clusters. Experience working in data center environments, including server racks, power-distribution equipment, and cooling systems. Experience collaborating directly with hardware or firmware vendors to qualify and validate fixes. Bachelor's degree in computer science, engineering, or a related discipline-or equivalent practical experience. Understanding of Python or Golang. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You enjoy working close to the hardware and are curious about how GPUs, servers, and data centers fit together. You thrive in infrastructure environments where reliability, performance, and automation matter as much as features. You like collaborating across hardware, platform, and product teams to solve complex, ambiguous problems. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $109,000 to $179,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace . click apply for full job details

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

Sr. Manager, AI Engineer (IFX) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts Operationalize Responsible AI: establish review gates, documentation/evaluation requirements, and rollout/rollback standards for all production AI systems Create strong collaboration interfaces with Research, Data, and Platform teams to accelerate model lifecycle The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 1 year of people leadership experience Preferred Qualifications: 3 years of experience managing and leading an engineering team 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading technical strategy for a multi-disciplinary AI team, balancing research exploration with production delivery Familiarity with MLOps, AI observability (evaluation pipelines, drift monitoring, model/version governance) to ensure reliability and compliance Track record mentoring engineers/scientists to productize prototypes and meet production SLOs Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Manager, AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Manager, AI Engineer New York, NY: $250,800 - $286,200 for Sr. Manager, AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 5 (Senior Manager, IC) In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Manager, AI Engineer (IFX) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts Operationalize Responsible AI: establish review gates, documentation/evaluation requirements, and rollout/rollback standards for all production AI systems Create strong collaboration interfaces with Research, Data, and Platform teams to accelerate model lifecycle The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 1 year of people leadership experience Preferred Qualifications: 3 years of experience managing and leading an engineering team 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading technical strategy for a multi-disciplinary AI team, balancing research exploration with production delivery Familiarity with MLOps, AI observability (evaluation pipelines, drift monitoring, model/version governance) to ensure reliability and compliance Track record mentoring engineers/scientists to productize prototypes and meet production SLOs Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Manager, AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Manager, AI Engineer New York, NY: $250,800 - $286,200 for Sr. Manager, AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 5 (Senior Manager, IC) In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Job Description Overview Junior Video Teleconference Technician Washington, DC Are you ready to enhance your skills and build your career in a rapidly evolving business climate? Are you looking for a career where professional development is embedded in your employer's core culture? If so, Chenega Military, Intelligence & Operations Support (MIOS) could be the place for you! Join our team of professionals who support large-scale government operations by leveraging cutting-edge technology and take your career to the next level! As one of the newest Chenega companies, Chenega Defense & Aerospace Solutions (CDAS) was developed with the purpose of providing expert Engineering and Technical Support Services to federal customers. The Junior Video Teleconference Technician provides support for SSP Information Operations AV/VTC equipment, including CODECs, AV/VTC network connections and controllers, wired/wireless interfaces, audio controllers, data interfaces, Cable TV, CCTV, other miscellaneous AV/VTC equipment, and other commonly used peripherals within the government computing environment. Responsibilities Set up administrator and service accounts for SSP network desktop and conference room VTC devices. Update and maintain AV/VTC deployments using government-supplied and/or other approved hardware, subsequent upgrades/patches/versions/releases, and AV/VTC unique applications. Ensure compliance as outlined in the AV/VTC Security Technical Implementation Guide (STIG) on all SSP Information Operations AV/VTC setups. Provide Standard and Advanced AV/VTC support for hardware and software configuration, troubleshooting, and problem resolution enterprise-wide. Provide technical support for AV/VTC update software installation and configuration issues and provide resolution. Input, update, and maintain trouble tickets using the Heat Helpdesk Software application. Independently diagnose and resolve complex technical issues related to VTC equipment and software, ensuring minimal disruption to scheduled meetings. Make real-time decisions during critical situations, such as technical failures during important video conferences, by troubleshooting and implementing quick fixes. Provide oversight to VTC operations to ensure they comply with industry standards and regulations, making decisions to align with legal and security requirements. Other duties as assigned Qualifications Associate's degree or higher from an accredited institution and 1+ years of experience OR High School Diploma or GED equivalent and 2+ years of experience CompTIA Certification A+, Network+ or Security+ Cisco/Tandberg technician training Secret clearance required Preferred Qualifications: Installing and maintaining baseline VTC system configurations preferred Knowledge of Cisco Call Manager and VOIP connections preferred Knowledge in installing, troubleshooting, servicing, and repairing video conferencing equipment and components, cables, connectors, and peripherals on a variety of network configurations preferred Knowledge, Skills and Abilities: The ability to make informed, independent decisions ensures that VTC systems remain operational, secure, and aligned with the organization's goals and requirements. Knowledge of Audio-Visual Technology Knowledge of Automation and Enhancement How you'll grow At Chenega MIOS, our professional development plan focuses on helping our team members at every level of their careers to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their careers. Benefits At Chenega MIOS, we know that great people make a great organization. We value our team members and offer them a broad range of benefits. Learn more about what working at Chenega MIOS can mean for you. Chenega MIOS's culture Our positive and supportive culture encourages our team members to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them be healthy, centered, confident, and aware. We offer well-being programs and continuously look for new ways to maintain a culture where we excel and lead healthy, happy lives. Corporate citizenship Chenega MIOS is led by a purpose to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our team members, and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Chenega's impact on the world. Chenega MIOS News- Tips from your Talent Acquisition Team We want job seekers exploring opportunities at Chenega MIOS to feel prepared and confident. To help you with your research, we suggest you review the following links: Chenega MIOS web site - Glassdoor at-Chenega-MIOS- EI_IE369514.11,23.htm LinkedIn - Facebook - Defense & Aerospace Solutions, LLC

Company: Alaska Airlines The Team: Guided by our purpose, core values, and leadership principles, we are creating an airline people love. Our corporate teams set the strategies and operational plans to ensure the success of our company. Whether we use our expertise in accounting, human resources, finance, planning, legal, marketing, or any of our operational divisions, our shared passion for travel and our guests is what motivates us to achieve excellence each day. If you share our passion for creating an airline people love, we want to hear from you. Role Summary: The Technology Compliance Program Manager Vulnerability Management is the sole subject matter expert in the technology compliance and vulnerability management domain. As an individual contributor, this role defines long-term strategy for the identification, assessment, prioritization, and remediation of security vulnerabilities across our technology environment and exercises considerable latitude and initiative to solve broad, complex problems. Key Duties: As the lead subject matter expert in technology compliance, ensure the vulnerability management program aligns with regulatory requirements (e.g., PCI-DSS, HIPAA, NIST, ISO 27001) and integrates with other security tools such as SIEM, CMDB, and ticketing systems. Define long-term strategy for developing, implementing, and continuously improving the enterprise vulnerability management strategy and roadmap. Influence across company and several levels up to execute on IT assessments focusing on compliance with information security policy, procedures and standards. Manage and optimize vulnerability management tools (e.g., Tenable, Qualys, Rapid7, etc.) to continuously improve the internal audit and risk management review. Consult Alaska Air Group divisions, IT departments and project resources regarding the development, management approval, and implementation of objectives, goals, policies, standards, guidelines, and other requirement statements needed to support information security compliance throughout the company. Serve as the primary point of contact between penetration testers and internal stakeholders, ensuring clear scope definition, rules of engagement, and minimal business disruption. Define and track key performance indicators (KPIs) and metrics to measure program effectiveness. Analyze and track findings, validate results, and work with relevant teams to prioritize and remediate identified vulnerabilities. Manage execution of timely delivery of reports to leadership and stakeholders, maintain documentation, and integrate findings into the broader vulnerability management lifecycle. Oversee regular vulnerability scanning and assessments across infrastructure, applications, and cloud environments. Facilitate, schedule, and coordinate internal and third-party penetration tests across applications, networks, and cloud environments. Maintain documentation and evidence for audits and compliance reviews. Job-Specific Experience, Education & Skills: Required 7 years of experience in IT Security and Compliance, or related area. Bachelor's degree in Information Security, Information Technology, Computer Science or related field, or an additional two years of relevant training/experience in lieu of this degree. Experience in project management, including all elements of scope, schedule, budgeting, risk evaluation, quality, integration, staffing, and communications. Knowledge of security regulations (e.g., Sarbanes-Oxley, Payment Card Industry Data Security Specification PCI DSS , Health Insurance Portability and Accountability Act HIPAA ) and standards (e.g. ISO 27001, NIST SP800-series). Excellent verbal and written communication skills. High school diploma or equivalent. Minimum age of 18. Must be authorized to work in the U.S. Preferred Industry certification in security (e.g. CISA, CISSP, and/or GIAC). Industry certification in project management (e.g. PMP). 2 years of experience leading people. Demonstrated knowledge and experience in information security, software development and/or network security for large organizations. Detailed technical knowledge in security engineering, system and network security, authentication and security protocols. Job-Specific Leadership Expectations: Embody our values to own safety, do the right thing, be caring and kind, and deliver performance. Create a culture where all employees feel safe and supported. Salary Range: $141,250 - $211,900 / year Salary Details: Pay will be based on multiple factors, including and not limited to location, relevant experience/level and skillset while balancing internal equity relative to other Alaska/Hawaiian/Horizon employees. Alaska/Hawaiian/Horizon is committed to fair, unbiased compensation along with competitive benefits in all locations in which we operate. Note: We don't typically hire at the top of the range. Total Rewards: Alaska Airlines, Hawaiian Airlines and Horizon Air pay and benefits can vary by company, location, number of regularly scheduled hours worked, length of employment, and employment status. Free stand-by travel privileges on Alaska Airlines, Hawaiian Airlines & Horizon Air Comprehensive well-being programs including medical, dental and vision benefits Generous 401k match program Annual bonus plans Generous holiday and paid time off For more information about Alaska/Hawaiian/Horizon Total Rewards please visit our career site and view benefits. Regulatory Information: Equal Employment Opportunity Policy Statement It is the policy of Alaska Airlines, Hawaiian Airlines and Horizon Air to comply with all applicable federal, state and local laws governing nondiscrimination in employment and to ensure equal opportunity in all terms, conditions, and benefits of employment or potential employment. We also prohibit discrimination and harassment against any employee or applicant for employment because of race, color, religion, sex, national origin, age, disability, veteran status, genetic information and other legally protected categories. We have established an EEO Compliance Program under Section 503 of the Rehabilitation Act of 1973 ("Section 503") and the Vietnam Era Veteran's Readjustment Assistance Act of 1974 ("VEVRAA"). All applicants and employees are treated without regard to their race, color, religion, sex, national origin, disability or protected veteran status. In addition, we have established an audit and reporting system to allow for effective measurement of its equal employment opportunity activities. To implement this policy, we will: (1) Recruit, hire, train and promote qualified persons in all job titles, without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information and any other legally protected categories; (2) Ensure that employment decisions are based only on valid job requirements; and (3) Ensure that all personnel actions and employment activities such as compensation, benefits, promotions, layoffs, return from layoff, Alaska Airlines, Hawaiian Airlines and Horizon Air sponsored programs, and tuition assistance will be administered without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information and other legally protected categories. Employees and applicants for employment will not be subjected to harassment, intimidation, threats, coercion or discrimination because they have engaged or may engage in (1) filing a complaint, (2) opposing any act or practice made unlawful by, or exercising any other right protected by, any Federal, State or local law requiring equal opportunity, including Section 503 and the equal opportunity provisions of VEVRAA, or (3) assisting or participating in any investigation, compliance evaluation, hearing, or any other activity related to the administration of any Federal, State or local law requiring equal opportunity, including Section 503 and the equal opportunity provisions of VEVRAA. Government Contractor & Department of Transportation (DOT) Regulations Alaska Airlines, Hawaiian Airlines & Horizon Air are regulated by the Department of Transportation (DOT - regulations, 49 CFR part 40) and all applicants are advised that post-offer and/or pre-employment drug testing will be conducted to determine the presence of marijuana, cocaine, opioids, phencyclidine (PCP) and amphetamines or a metabolite of these drugs prior to any offer or employment or transfer into a safety-sensitive position. Failure to submit to testing or positive indications of drug use will render the applicant ineligible for employment with Alaska Airlines/Hawaiian Airlines/Horizon Air and any employment offer will be withdrawn. FLSA Status: Exempt Employment Type: Full-Time Regular/Temporary: Regular Requisition Type: Management Location: Seattle - Hub Featured Job: 0 A Y - T2 L

Job DescriptionJob Description About Creative Realities Creative Realities, Inc. (NASDAQ: CREX) is a full-service, digital signage solutions company with a passion and purpose of connecting brands and people in spaces and places they love. We design, develop, deploy, and maintain digital experiences that are contextually relevant, omni-channel, and specific to the physical environment. Our approach is consultative, tech-agnostic, and solution centric. Our capabilities are end-to-end with the ability to deploy at scale - whether its thousands of locations or a single flagship experience. We specialize in key verticals including Automotive, C-Store, QSR, Heath Care, Retail, and Sports & Entertainment with extensive experience in how digital transforms these environments. Our purpose-built CMS software and ad-revenue / monetization platforms are considered best in class and serve as the backbone for successful installations and ongoing support. Visit for our full story. About the Position Our growing business is looking for a Purchasing Specialist to assist with the day-to-day procurement activities (creation and submission of POs, follow-up for tracking requests, costing updates, etc.) as well as the entry of customer placed orders in our systems (matching of customer PO to Proposal/BOM/etc.) Key Responsibilities Verifies purchase requisitions by comparing items requested to NetSuite item master; clarifying unclear items; seeking/recommending alternatives where applicable. Prepares purchase orders in NetSuite by verifying specifications and price; obtaining supplier recommendations for substitutes; routing for approval via NetSuite approval workflow (Procurement Manager). Obtains purchased items by forwarding orders to suppliers; monitoring and expediting orders in NetSuite. Maintain and monitor open PO report/saved search in NetSuite to ensure timely receipt and closure. Forwards available inventory items by verifying stock in NetSuite; scheduling delivery. Work with Accounts Payable daily (min. weekly) to ensure drop-ship POs are accurately received/fulfilled in NetSuite across corresponding POs and sales orders, and vendor bills matched correctly. Work with Procurement Manager/team to confirm deliveries satisfy assigned POs in NetSuite; report backordered/missing items. Assist Procurement Manager maintaining inventory levels using NetSuite reorder points/min-max settings. Establish reliable contact w/ Project Management to ensure field purchase orders are accurate in NetSuite. Updates job knowledge via educational opportunities (incl. NetSuite training/updates). Accomplishes purchasing/org mission by completing related results as needed. Match Customer PO/Executed Proposal to Engineering BOM in NetSuite. Compile daily Order Entry task info; establish entry priorities in NetSuite. Perform accurate/timely task completion by inputting into NetSuite or escalating within 24-hr SLA. Ensure newly created NetSuite Project matches what was sold; escalate discrepancies prior to order entry. Review/verify entered NetSuite data for deficiencies/errors; correct errors; check output for accuracy. Communicate updates to Sales/Ops as necessary. Maintain data integrity of vendor, item, and pricing records in NetSuite. Assist maintaining efficient operations by following policies/procedures; report needed changes. Generate daily/weekly/monthly reports using NetSuite saved searches/reports. Other related duties as requested by management. Key Competencies/Behaviors Strong negotiating skills Proficiency in NetSuite (or comparable ERP system) required; ability to build/run saved searches a plus Comprehensive understanding of MS Office Impeccable attention to detail Achievement oriented, acts with integrity, focused on customer satisfaction Self-motivated, superior planning and time management skills Team oriented, works well with others Positive attitude; willingness and initiative to learn Comfortable in deadline-oriented, fast-paced environment with shifting priorities Able to prioritize work and adapt to change Core Values The ideal candidate represents these six core values: Passionate We are a group of passionate people. This is the best way to describe TEAM CRI. We work hard and we are proud of the results we produce each and every day. And, we have some fun along the way! Respectful We value diversity and unique contributions. We foster a trusting, open and inclusive environment. We treat our clients, partners and our team in a manner that reflects these values. Do the Right Thing We do what we say we will do. Our actions shall always be fully transparent and genuine. Our dealings with clients, co-workers and partners must always be conducted with honesty. Helps First We are stronger when we work together. We help first, no matter what-whether it's with our clients or our internal teams. Nimble Minded When conventional thinking and processes fail, we want to be the first to provide fresh ideas and solutions. We break through adversity and respond quickly. Expects Excellence What we deliver is what we will be measured on. We are committed to getting it right. Benefits Individual portion of medical, Life, Long and Short-Term Disability insurances; Access to participate in company dental and vision insurance programs; 401(k) program, including company paid match of up to 3% of annual salary; and Paid time off and holiday pay.