208 jobs found

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. Candidate must be authorized to work in the U.S, now or in the future, without assistance or support from McKesson. McKesson is in the business of better health and we touch the lives of patients in virtually every aspect of healthcare. At Macro Helix, we are a leader in providing 340B software focused on helping customers improve financial performance, increase operating efficiencies, and maintain regulatory compliance. Every single McKesson employee contributes to our mission-by joining McKesson you act as a catalyst in a chain of events that helps millions of people all over the globe. We understand the importance of a system that works together. You'll collaborate on the products and solutions that help us carry out our mission to improve lives and advance healthcare. Your expertise, drive and passion can help us improve everything we touch, from providers to payors to pharmacies. Working here is your opportunity to shape an industry that's vital to us all. Join our team of leaders to begin a rewarding career. Key Responsibilities Analyze existing software and develop solution for cloud platform using .NET Core/C#/Azure/Web API Lead and participate in technical design discussions that produce high-performance, highly scalable, and resilient software components. Collaborate with other engineers and product owners and QA members to identify best in class software solutions to complex problems in the health care industry. Maintain existing legacy applications written in ASP.Net/c#.Net through defect correction and refactoring. Take a quality-first approach to software development by producing unit tests and automate functional testing as much as possible. Conduct code reviews with other developers, including security checks. Actively participate in Agile Daily Standups/ Sprint Planning/ Refinements / Retrospectives and Sprint demos. Promote SOLID design principles for software development in a cloud-based environment to implement a code that can easily be modified, tested, extended, and refactored without any problems. Minimum Requirement Degree or equivalent and typically requires 2+ years of relevant experience. Education 4 years degree in computer science or related field or equivalent experience Critical Skills 2+ years of experience developing web-based applications using Microsoft technologies. Proficiency in C#, ASP.NET/.NET Core, JavaScript/TypeScript, Angular, HTML, and CSS. Experience building and supporting cloud-based solutions in Azure (AWS/GCP exposure welcomed). Strong SQL Server experience, including working within high-volume transactional environments. Hands-on experience with Git-based source control, CI/CD pipelines, and modern development practices. Solid foundation in object-oriented programming, software design, testing, debugging, and code quality. Strong analytical, problem-solving, and collaboration skills with keen attention to detail. Additional Knowledge & Skills Experience working with secure web services and API Agile software methodology experience Experience with Data bricks Experience with JIRA and Confluence Health care experience is a plus Agency Statement No agencies please. This position offers the possibility of a hybrid work arrangement based on recent updates to our in-office/work from home model. If located in DFW area, the selected candidate may be expected to work on site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in office days may be designated according to team needs and business priorities. 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 $38.94 - $64.90 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!

Genesis10 is currently seeking a Principal Data Engineer for a hybrid position with a Global Inventory and Data Services Company located in Dallas, TX. This is a direct hire opportunity. Pay range: $150,000 - $190,000 per year The Principal Data Engineer is responsible for architecting and delivering the enterprise data foundation that supports high-volume, real-time data streaming, governed analytics, and AI/ML enablement. You will design and implement scalable pipelines and reusable design patterns, embedding data lineage and governance into every layer to ensure transparency, trust, and reusability across the organization. This role requires deep expertise in distributed data systems, streaming architectures, and enterprise-scale engineering. You will set technical direction, mentor senior engineers, and ensure the platform achieves performance, reliability, and evolvability at global scale. Responsibilities: Define the target-state architecture for a unified, cloud-native data foundation and translate business goals into actionable roadmaps Architect and optimize real-time ingestion pipelines capable of handling massive event streams with zero data loss Build reusable, resilient, and scalable pipelines for ingestion, transformation, and analytics across multiple business domains Implement frameworks for end-to-end lineage, metadata management, and governance to ensure data is traceable, high-quality, and reusable Lead the transition from legacy data systems to modern cloud-native architectures with minimal disruption and maximum scalability Establish engineering standards for data modeling, pipeline reliability, observability, and performance optimization at enterprise scale Partner with product, backend, cloud/SRE, and AI/ML teams to ensure cohesive platform evolution Guide senior engineers, promote reusable patterns, and foster a culture of excellence in enterprise data engineering Requirements: 10 years in data engineering or enterprise data architecture, with 5 years at principal or staff scope Proven expertise in cloud-native data platforms (Azure, AWS, or GCP) and distributed systems Deep knowledge of Databricks, Spark, Kafka, Flink, and Lakehouse architectures Strong background in data lineage, governance, metadata management, and streaming design patterns Experience leading large-scale data streaming and modernization initiatives at enterprise level Ability to influence executives and guide senior engineers across multiple teams Exceptional communication skills-able to simplify complex data concepts for technical and non-technical stakeholders If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20 years. The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years. Access to an experienced, caring recruiting team (more than 7 years of experience, on average.) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Hi, My name is Sudheer , and I work with TPI Global Solutions. We are a global talent solutions firm providing a wide range of staffing solutions to companies and candidates within the technology field. I have reviewed your profile on one of the Job Portal and feel that your background could be a great fit for an exciting opportunity I am working on right now. Title: IT - Cyber Security Analyst 2 Client: AMD Location: San Jose, CA OR Austin, TX (hybrid, 3 days onsite per week) Duration: 12 + Months Job Description: We are seeking a detail-oriented GRC Risk Management Analyst to support information security and third-party risk management. The role combines structured governance and risk analysis with hands-on technical understanding to evaluate vendors throughout the relationship lifecycle-from onboarding and due diligence through ongoing monitoring and offboarding. The analyst will examine architectures, security controls, configurations, technical evidence, and threat scenarios to identify control gaps, determine business impact, document defensible risk decisions, and support practical remediation. The role will also apply analytics, automation, and AI responsibly to streamline evidence review, improve assessment quality, and accelerate monitoring and reporting while maintaining human validation, data protection, traceability, and appropriate governance. Key Responsibilities • Conduct end-to-end third-party risk assessments, including due diligence, inherent-risk tiering, control evaluation, residual-risk determination, periodic reassessment, and offboarding review • Administer risk-based vendor questionnaires covering security governance, data protection, access control, vulnerability management, incident response, business continuity, cloud services, and subcontractor oversight; review responses and supporting evidence, clarify gaps with vendors, and translate findings into risk ratings and remediation actions • Maintain enterprise and vendor risk registers with clear risk statements, ratings, owners, treatment plans, and status • Analyze security, privacy, resilience, regulatory, concentration, and fourth-party risks based on business criticality and data sensitivity • Perform technical risk analysis by reviewing system architecture, data flows, cloud and network configurations, identity and access models, encryption, logging, vulnerability results, penetration-test findings, software dependencies, and incident-response capabilities; distinguish design intent from operating effectiveness and document evidence-based conclusions • Apply hands-on security knowledge to validate control implementation through practical review of technical artifacts, targeted demonstrations, sample-based testing, and collaboration with engineers and system owners; translate technical weaknesses and threat scenarios into clear likelihood, impact, residual-risk, and remediation recommendations • Partner with Security, IT, Legal, Privacy, Procurement, and business owners to validate findings and drive proportionate mitigation • Track remediation, escalate material risks and exceptions, and prepare concise leadership reporting, including KRIs, trends, and heat maps • Support policy governance, control testing, issue management, compliance monitoring, and alignment with NIST, ISO 27001, CMMC, and applicable requirements • Design and use analytics, automation, and AI-assisted workflows to improve questionnaire triage, evidence extraction, control mapping, risk-statement drafting, issue classification, continuous monitoring, and reporting; measure process gains and maintain human approval, secure handling of sensitive data, output validation, auditability, and compliance with organizational AI governance requirements Required Qualifications • Education: Bachelor's degree in Information Security, Risk Management, Business, Computer Science, or a related field • Experience: 1-4 years in enterprise risk, third-party risk, GRC, information security, or a related area • Knowledge of inherent and residual risk, likelihood and impact, controls, treatment, acceptance, and monitoring • Working technical knowledge of enterprise and cloud environments, including networking, operating systems, identity and access management, encryption, secure configuration, vulnerability management, logging and monitoring, application security, and incident response • Ability to interpret technical evidence such as architecture and data-flow diagrams, access reviews, configuration outputs, vulnerability and penetration-test reports, security logs, and independent assurance reports, and to identify when deeper technical validation is required • Ability to assess business impact, apply risk criteria, and communicate clear, defensible recommendations • Strong analytical, organizational, stakeholder-management, and written and verbal communication skills • Proficiency with Microsoft Office and familiarity with GRC, analytics, or automation tools • Practical experience using generative AI, scripting, workflow automation, or low-code tools to improve repeatable business processes, with an understanding of prompt design, output validation, sensitive-data handling, access controls, model limitations, and responsible human oversight • Must be able to commute to San Jose, CA or Austin, TX and work on-site at least 3 days per week Preferred Qualifications • Relevant certification or active pursuit, such as Security+ or an AI fundamentals credential • Experience with GRC platforms, vendor monitoring tools, audit support, or control evidence collection • Familiarity with NIST CSF, ISO 27001, CMMC, SOC 2, GDPR, CCPA, or similar requirements • Experience creating clear procedures, SOPs, or workflow documentation in a technology or regulated environment Sudheer Paswan Sr Executive Resourcing TPI Global Solutions +1 s ;

City/State Virginia Beach, VA Work Shift Multiple shifts available Overview: Sentara is hiring a Senior MLOps & Generative AI Engineer! This position is fully remote! Candidates must reside in one of the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, West Virginia, Wisconsin, or Wyoming. Overview We are seeking a highly skilled and experienced Senior MLOps & Generative AI Engineer to join our growing AI organization and help advance current and future initiatives applying machine learning, deep learning, NLP, and Generative AI technologies to improve healthcare outcomes and operational excellence. This role combines two critical focus areas: MLOps Engineering - building and scaling enterprise-grade ML infrastructure, deployment pipelines, observability, governance, and automation capabilities. Generative AI Engineering - designing, architecting, deploying, and optimizing secure, production-ready GenAI applications and platforms leveraging LLMs, RAG architectures, vector databases, prompt orchestration, and AI evaluation frameworks. As a Senior Engineer, you will partner closely with AI Scientists, Data Engineers, Software Engineers, Architects, and Product teams to operationalize AI/ML and Generative AI solutions at enterprise scale. You will play a key role in shaping the organization's AI platform strategy, driving best practices, and delivering scalable, secure, and reliable AI systems in production healthcare environments. Key Responsibilities MLOps Engineering Responsibilities Design, build, and maintain scalable ML infrastructure and pipelines supporting model training, deployment, monitoring, governance, and lifecycle management. Develop and optimize CI/CD pipelines for machine learning and AI workloads across development, staging, and production environments. Build reusable ML platform capabilities including feature stores, model registries, experimentation frameworks, artifact management, and deployment automation. Implement scalable orchestration and workflow solutions for batch and real-time ML inference workloads. Create robust monitoring systems to measure model performance, detect model drift, monitor data quality, and ensure production reliability. Develop automation tools and self-service capabilities to improve the efficiency, scalability, and reliability of MLOps processes. Collaborate with Data Scientists and Software Engineers to streamline the ML lifecycle from experimentation through enterprise production deployment. Apply software engineering best practices to AI/ML systems including testing, observability, resiliency, security, versioning, and infrastructure-as-code. Identify gaps and improvement opportunities within the organization's ML platform ecosystem and architect scalable solutions to address them. Support enterprise AI governance, compliance, auditability, and model risk management requirements. Ensure platform scalability, reliability, security, and operational excellence across AI/ML systems. Generative AI Engineering Responsibilities Lead the architecture, design, and deployment of enterprise Generative AI solutions leveraging LLMs, foundation models, and agentic AI systems. Design and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases, embeddings, semantic search, reranking, and retrieval optimization strategies. Build scalable LLM orchestration frameworks using technologies such as LangChain, LlamaIndex, Semantic Kernel, or equivalent frameworks. Develop advanced prompt engineering strategies, prompt chaining, context management, and agent workflows to improve LLM accuracy and reliability. Evaluate and implement fine-tuning, parameter-efficient tuning, and prompt-based optimization approaches for domain-specific use cases. Build AI evaluation and benchmarking frameworks to measure hallucination rates, response quality, grounding accuracy, toxicity, bias, latency, and business performance metrics. Implement AI safety guardrails, governance controls, content filtering, and responsible AI practices for enterprise healthcare environments. Design scalable GenAI APIs and microservices supporting high-throughput enterprise AI applications. Optimize GenAI systems for cost, latency, throughput, and inference performance across cloud and hybrid environments. Integrate enterprise data sources, healthcare systems, and knowledge repositories into secure GenAI workflows. Research and evaluate emerging GenAI technologies, open-source frameworks, and foundation models to drive innovation and continuous improvement. Develop architecture diagrams, technical roadmaps, implementation strategies, and executive-level documentation for enterprise AI initiatives. Collaborate with cybersecurity, compliance, and infrastructure teams to ensure secure and compliant deployment of GenAI solutions involving PHI and sensitive healthcare data. Contribute to the development of AI platform standards, reusable GenAI accelerators, templates, and engineering best practices. Required Qualifications 5+ years of experience building and deploying production software, ML systems, or AI platforms. 1+ years of hands-on experience building production Generative AI or LLM-based applications. Strong programming skills in Python and experience with software engineering best practices. Experience with major deep learning and LLM frameworks such as PyTorch, Hugging Face Transformers, TensorFlow, or equivalent. Hands-on experience implementing RAG architectures, vector search, embeddings, prompt engineering, and LLM orchestration frameworks. Experience with vector databases such as Pinecone, Weaviate, Chroma, FAISS, Milvus, or equivalent technologies. Experience deploying AI/ML systems in cloud environments including AWS, Azure, or GCP. Strong understanding of APIs, distributed systems, microservices, and scalable backend architectures. Experience with Kubernetes, containerization, orchestration, and cloud-native infrastructure. Experience implementing CI/CD pipelines, infrastructure automation, and MLOps best practices. Experience building monitoring, observability, and alerting solutions for ML and AI systems. Strong understanding of AI/ML lifecycle management, governance, model versioning, and production operations. Experience designing secure, scalable, production-ready AI platforms and services. Strong communication and collaboration skills with the ability to work across technical and business teams. Preferred Qualifications Previous experience implementing Generative AI and MLOps solutions within healthcare environments. Experience working with EPIC or healthcare interoperability platforms. Understanding of HIPAA, PHI handling, healthcare compliance, and responsible AI practices. Experience with AI governance frameworks, LLM evaluation methodologies, and AI safety tooling. Experience with GPU infrastructure optimization and scalable inference architectures. Familiarity with multi-agent AI systems and autonomous workflows. Experience with event-driven architectures, streaming pipelines, and real-time inference systems. Exposure to model fine-tuning techniques including LoRA, PEFT, RLHF, or domain adaptation strategies. Experience with enterprise AI platform architecture and internal developer platforms. Prior experience mentoring engineers and leading technical initiatives. Education 5+ years of relevant experience with a degree (Required) or 7+ years of relevant experience without a degree (Required) Experience in lieu of Bachelor's Degree. Certification/Licensure No specific certification or licensure requirements Experience 5 to 7 years of relevant experience We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for Full Time employment is: $91,416.00 - $152,380.80. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities. Benefits: Caring For Your Family and Your Career • Medical, Dental, Vision plans • Adoption, Fertility and Surrogacy Reimbursement up to $10,000 • Paid Time Off and Sick Leave • Paid Parental & Family Caregiver Leave • Emergency Backup Care • Long-Term, Short-Term Disability, and Critical Illness plans • Life Insurance • 401k/403B with Employer Match • Tuition Assistance - $5,250/year and discounted educational opportunities through Guild Education • Student Debt Pay Down - $10,000 • Reimbursement for certifications and free access to complete CEUs and professional development •Pet Insurance •Legal Resources Plan . click apply for full job details

Staffing Pros, a division of VETS Inc., is recruiting for a full-time Software Packaging Engineer. This senior engineering position requires extensive hands-on experience in packaging, testing, and delivering baseline and non-baseline software to both classified and unclassified government networks. The software will be used on Standard Operating Environment (SOE) devices and made available via Intune, the Software Center, PAT, and/or MCM. The software packaging engineer is responsible for ensuring the interoperability of applications on supported Windows 11 endpoints. The position will have a hybrid telework arrangement with on-site presence three (3) days a week, at a secure government facility in Washington, DC. Work schedule will be Monday through Friday during normal business hours. Work location and schedule are subject to change based on government requirements. Responsibilities: Manage the workflow for packaging requests for baseline and non-baseline applications deployed on the SOE platforms on the unclassified and classified networks. This duty involves close coordination with application owners to build, test, perform user acceptance, and publish the package via Intune, PAT, MCM, Software Center or FTP. Perform Application Packaging Scripting in support of department Standards to ensure installed software meets specified guidance and customized installation requirements. Perform Operating System Deployment (OSD) engineering for Windows 11 platforms. These duties include Windows Imaging (WIM) creation, task sequence creation, testing, and publishing. Perform lifecycle application support related to security updates. This duty involves packaging, publishing, performing User Acceptance Testing, and providing Tier 3 software support. Responsibilities include supporting User Acceptance Testing (UAT), troubleshooting deployment issues, creating deployment scripts, and maintaining an application catalog. Creating and maintaining automated application deployment packages. Required Qualifications: Bachelor's degree and 9 years' experience; may accept experience in lieu of degree. Extensive hands-on experience in creating silent installations for Adobe, AutoCAD and Microsoft products. Extensive hands-on experience in preparing and deploying MS cumulative updates to endpoints via Intune. 3-5 years of experience with Microsoft MCM. 1-3 years of experience packaging applications for Windows 11 platforms. Experience working in classified and/or unclassified government environments with greater than 10,000 endpoints. Experience with scripting to include PowerShell and VBScript. Hands-on experience scripting silent installations for COTS/GOTS. Experience packaging applications with various licensing models. Experience working in team environments. Excellent written and verbal communication skills. Capable of working well within a collaborative environment as an integral member of a project team. Must have an Active Top Secret clearance. Must be a U.S. citizen. Preferred Qualifications: Experience with Intune's Delivery Optimization, Microsoft Connected Cache (MCC), Windows Update for Business (WUfB) and enterprise content distribution. Experience developing enterprise reporting using SQL, PowerShell, and Microsoft management platforms. Past experience supporting large government agencies. Experience with Microsoft Operating System Deployment (OSD) to include Task Sequences and WIMs. EEO Statement Staffing Pros a division of VETS-inc is an Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities. The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractors legal duty to furnish information.

Please note, this position is designated as flexible, which means the selected candidate may be required to report to the assigned office in Greensboro, NC at least part of the time each week. Technical Summary: The IT Operations Entra team is responsible for the engineering, administration, and continuous improvement of Microsoft Entra services that provide enterprise cloud identity, authentication, authorization, and access management capabilities across the organization. This senior technical role serves as a subject matter expert for Microsoft Entra services and is responsible for leading the delivery, modernization, and ongoing evolution of core identity capabilities, including hybrid identity synchronization, Microsoft Entra Connect, authentication services, privileged access management, role-based access control, enterprise applications, and application identities. The position provides technical leadership for the engineering, implementation, administration, and operational sustainment of Microsoft Entra services across multiple tenants, while contributing to platform standards, automation, and operational best practices. This role partners closely with Azure Platform, IAM, Security, Microsoft 365, and application teams to ensure secure, scalable, and reliable identity services while advancing platform capabilities and operational excellence across the enterprise. Job Summary: This senior level individual contributor is primarily responsible for serving as the lead technical expert across project teams, setting technical direction across technical solutions, and overseeing all IT systems. Essential Responsibilities: Drives the execution of multiple work streams by identifying customer and operational needs; developing and updating new procedures and policies; gaining cross-functional support for objectives and priorities; translating business strategy into actionable business requirements; obtaining and distributing resources; setting standards and measuring progress; removing obstacles that impact performance; guiding performance and developing contingency plans accordingly; solving highly complex issues; and influencing the completion of project tasks by others. Practices self-leadership and promotes learning in others by soliciting and acting on performance feedback; building collaborative, cross-functional relationships; communicating information and providing advice to drive projects forward; adapting to competing demands and new responsibilities; providing feedback to others, including upward feedback to leadership; influencing, mentoring, and coaching team members; fostering open dialogue amongst team members; evaluating and responding to the strengths and weaknesses of self and unit members; and adapting to and learning from change, difficulties, and feedback. Leads a team of IT consultants in the development of requirements, for process or system solutions which may span multiple business domains by leveraging partnerships with stakeholders and appropriate IT teams (for example, Solutions Delivery, Infrastructure, Enterprise Architecture). Leverages multiple business requirements gathering methodologies to identify business, functional, and non-functional requirements (for example, SMART) across the enterprise. Leads and oversees the development and documentation of comprehensive business cases to assess the costs, benefits, ROI, and Total Cost of Ownership (TCO) of highly unique or complex solution proposals. Leads the evolution of applications, systems, and/or processes to a desired future state by translating how current processes impact business operations across the enterprise. Leads teams of IT Consultants in the mapping of current state against future state processes. Defines the impact of requirements on upstream and downstream solution components. Provides insight and influence to executive management and business leaders on how to integrate requirements with current systems and business processes across the enterprise. Reviews, evaluates, and prioritizes value gaps and opportunities for process enhancements or efficiencies. Leads solution design by translating requirements into workable business solutions and leading in design sessions with IT teams. Recommends and advocates for additional data and/or services needed to address key business issues related to process or solutions design. Leads the evaluation of third-party vendors as directed. Drives continuous process improvement by leading the development, implementation, and maintenance of standardized tools, templates, and processes across the enterprise. Recommends and advocates for regional and national process improvements which align with sustainable best practices, and the strategic and tactical goals of the business. Minimum Qualifications: Bachelors degree in Business Administration, Computer Science, CIS or related field and Minimum ten (10) years experience in IT consulting, business analysis, or a related field. Additional equivalent work experience may be substituted for the degree requirement.

Job Overview: Pay Range: $65hr - $70hr Requirement/Must Have: In-depth hands-on experience working with Windows Server in hybrid environments (on-premises and cloud). Demonstrated ability to translate user requests, provide technical support and communicate effectively. In-depth hands-on experience with OS upgrades, patch installation and testing. In-depth hands-on experience with scripting utilities (PowerShell) and Windows server scripting to accomplish centralized tasks. In-depth experience performing regular patching and updates to ensure system security and stability. Experience overseeing backup operations and recovery processes in mission critical environments. In-depth experience planning and executing server migrations, including moving workloads from on premises to the cloud. In-depth experience working in an environment that utilizes multiple frameworks/technologies including .NET, Java, SQL/Oracle, Microsoft Dynamics, etc. In-depth experience providing server-level support and troubleshooting issues for production applications. In-depth experience managing vulnerability server and application remediation. Experience with tools like SCCM for automated patch management & deployment. Experience crafting disaster recovery (DR) plans to ensure minimal downtime and prevent data loss. Strong networking knowledge - including understanding OSI layer functionality and network protocols. Ability to work with cross-functional teams to address infrastructure needs and support application deployment. Responsibilities: Administer, maintain, and optimize Windows Server environments across on-premises and cloud-based infrastructure. Perform OS upgrades, patch installation, testing, and ongoing system updates to ensure reliability and security. Develop and use PowerShell scripts and other automation tools to execute centralized and repetitive tasks efficiently. Lead and execute server migrations, including transitioning workloads from on-premises systems into cloud platforms. Implement and maintain security configurations for servers, including endpoint protection, access control, and hardening standards. Conduct vulnerability remediation for servers and applications to maintain security compliance. Work with security tools and processes to ensure consistent protection and monitoring. Manage patching cycles and use SCCM or similar platforms for automated patch deployment and reporting. Maintain ongoing monitoring and performance assessment of infrastructure services to identify and resolve issues proactively. Oversee routine backup operations and support recovery processes for mission-critical systems. Develop, refine, and support Disaster Recovery (DR) strategies to minimize downtime and protect data integrity. Provide advanced server-level support for enterprise applications using .NET, Java, SQL, Oracle, Microsoft Dynamics, and warehouse technologies. Troubleshoot high-impact production issues across hybrid infrastructure and middleware layers. Apply deep knowledge of OSI model layers and networking protocols to diagnose connectivity and application issues. Collaborate with cross-functional teams to support application deployments and infrastructure enhancements. Translate business or user requests into actionable technical solutions and communicate effectively. Work closely with the IT Portfolio Manager and Infrastructure & Operations teams to align engineering efforts with organizational needs. Nice to Have: Have achieved Microsoft-focus certifications such as Azure Administrator Associate, Windows Server Hybrid Administrator Associate, etc. Has achieved network focused certifications such as Network+, CCNA, etc. Benefits Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

GXM is seeking a full-time Enterprise Architect to support enterprise architecture development, digital engineering initiatives, and strategic mission integration activities supporting advanced operational Command and Control (C2) environments. The ideal candidate will possess deep expertise in Enterprise Architecture, operational mission systems, Digital Engineering, and Model-Based Systems Engineering (MBSE) with the ability to architect scalable operational solutions across cloud infrastructure, mission applications, operational data environments, cyber security domains and distributed mission systems. This role serves as the strategic architecture authority responsible for defining the target state operational architecture, integrations standards, interoperability frameworks, and long-term scalability model supporting integrated multi-domain mission operations. This individual will support modernization initiatives involving integrated C2 architectures, cloud-native mission systems, operational data fusion environments, AI/ML-enabled analytics platforms, and Joint Force operational integration constructs across defense environments. This role is onsite in Colorado Springs, CO. Hybrid flexibility may be available over time based on mission requirements, program execution needs and achievement of objectives. Responsibilities Serve as the strategic architecture authority for integrated multi-domain C2 mission environment. Develop and maintain enterprise and operational system architectures supporting integrated operational and mission environments. Define and maintain the overall C2 architecture baseline, including operational concepts, integration standards, interface strategies, interoperability frameworks, and long-term scalability models. Apply Model-Based Systems Engineering (MBSE) methodologies to support system architecture development, requirements traceability, integration planning, digital engineering and lifecycle engineering activities. Develop and maintain engineering artifacts, system models, interface definitions, and architecture products, operational workflows, and reference architectures supporting integrated mission operations. Utilize MBSE tools and enterprise architecture frameworks to support digital engineering and operational mission architecture activities. Develop integrated engineering execution plans and schedules using Cameo Systems Modeler or similar enterprise planning tools. Architect scalable cloud, hybrid-cloud, and distributed system environments supporting operational mission needs. Define enterprise integration standards supporting APIs, middleware, event-driven architectures, operational data exchange frameworks, and mission interoperability requirements. Contribute to technical solution development involving AI/ML-enabled operation analytics, DevSecOps pipelines, cybersecurity architectures, software engineering, and operational data fusion capabilities. Develop integrated engineering execution roadmaps, transition architectures, modernization strategies, and scalability frameworks supporting follow-on operational deployment. Collaborate with engineering teams, leadership, and government stakeholders to refine operational mission architectures. U.S. Citizen and Active TS/SCI clearance required. Bachelor's degree in systems engineering, Computer Science, Engineering, Information Systems, or related technical field. 8+ years of experience supporting enterprise architecture, operational mission systems, systems engineering, or strategic modernization initiatives within defense or intelligence environments. Strong understanding of Enterprise Architecture, Digital Engineering, and Model-Based Systems Engineering (MBSE) principles. Experience defining architecture governance standards, integration frameworks, interface strategies, and target-state operational architecture. Experience developing enterprise/system architectures, engineering artifacts, integration strategies, and operational workflows. Experience using Cameo Systems Modeler or other Digital Engineering toolsets to develop operational architecture products, integrated engineering execution models, system interaction diagrams, mission workflows, interface definitions, and requirements traceability artifacts supporting complex mission and operational environments. Understanding of cloud architectures, DevSecOps, cybersecurity, AI/ML, system integration, and enterprise modernization approaches. Strong communication, collaboration, and technical writing skills. Proven ability to communicate complex technical architectures to Government leadership, operational stakeholders, and engineering teams. Desired Qualifications Experience supporting defense, space, or multi-domain operational environments. Experience supporting DoD, federal mission systems, enterprise modernization, or operational C2 environments. Experience with MBSE tools such as Cameo Systems Modeler or other Digital Engineering tools. Expert with DoDAF, UAF, SysML, BPMN, and related enterprise architecture, operational architecture, MBSE frameworks supporting DoD mission engineering and digital engineering initiatives. Experience with enterprise cloud platforms, cloud-native and hybrid-cloud environments, container orchestration technologies, and distributed mission infrastructure supporting secure operational workloads. Knowledge of RMF, DISA STIGs, and Zero Trust cybersecurity frameworks. Experience supporting proposals, capture, or strategic modernization efforts for federal or defense programs. $150,000-$235,000 salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other legally protected status. GXM Technologies LLC provides reasonable accommodations in accordance with applicable law. This job description is not intended to be a complete list of duties and responsibilities, which may change at any time with or without notice. Employment is at-will where permitted by law , meaning either the employee or the Company may terminate employment at any time, with or without cause or notice, subject to applicable legal requirements. PIddb25-6194

About Zaden Technologies, Inc. Join Zaden Technologies on our mission to simplify the delivery and improve the utility of software products for our customers. At Zaden, we believe that our employees are our greatest assets. We hire the right candidates with the right skill sets who fit our culture of customer obsession, innovation, and continuous learning. We are our customer's biggest advocate and we are looking for like-minded individuals who encompass these same ideals. It is important to us to offer you competitive pay and comprehensive benefits with opportunities that match your life and propel your career! Zaden Technologies is looking for a Technical Product Manager to own the critical bridge between engineering execution and customer-ready software. At Zaden, product direction and delivery discipline are the same job - you'll define and protect MVP scope, drive the roadmap, and own the cadence that ships it. Reporting directly to the CEO, this is an individual contributor role with a clear, direct growth path to Head of Product. We're hiring for the function and the skill, not the title - if you've been doing this work under a different name (Senior PM, Product Lead, Technical Program Manager), we want to hear from you. Note: This position is either hybrid in Huntsville, Alabama or Remote w/ 10-20% travel. Role Responsibilities: Define and hold the MVP cut line for each product - no scope creep, no pre-launch feature drift Own and maintain the product roadmap across the full product portfolio in partnership with engineering Maintain an always-on demo environment; "demo-able in staging" is your definition of done Translate requirements from federal and enterprise customers into prioritized, precise engineering tickets Run structured user research and drive product decisions from evidence, not opinion Hold the honest line between selling the future and demoing the now Coordinate go-to-market timing for each shippable slice with sales and leadership Communicate fluidly in two directions - brief program managers in their language, write precise tickets for developers Required Qualifications: U.S. Citizenship and ability to obtain a security clearance 5+ years of product management or equivalent product delivery experience Demonstrated track record of taking a product from zero to one inside a complex organization with real stakeholders, competing priorities, and constraints Proven experience shipping software to paying customers - you know the difference between "capability exists" and "product is ready to sell" Technical fluency: able to hold scope conversations with engineers, read a pull request, and recognize when "almost done" is actually weeks away Proficiency with roadmap and delivery tools such as Jira, Linear, GitLab, etc Hands-on experience with AI assistants and agentic coding tools (e.g., Claude, Cursor, or Copilot) in daily work Experience in high-stakes, multi-stakeholder, regulated environments (defense, aerospace, government-adjacent, healthcare, finance, or similar) Bachelor's degree in a technical or quantitative field (computer science, software or systems engineering, information systems, electrical or mechanical engineering) or equivalent hands-on product experience Preferred Qualifications: Active security clearance Familiarity with DoD, federal research labs, or federal procurement, or enterprise software sold into government Experience delivering against government contract schedules or SBIR milestones Background in aerospace, defense tech, or engineering automation software Exposure to MBSE, systems engineering, or model-based workflows Familiarity with MBSE/SysML tooling such as Cameo/MagicDraw or SysML v2 Proficiency with product analytics tools such as Amplitude or Mixpanel, plus enough SQL to pull your own answers Experience with design and collaboration tools: Figma, Miro, Confluence, or Notion Cloud platform experience with AWS or Azure (GovCloud a plus) Master's degree in a technical field or MBA with a technology focus Product or agile certification (CSPO, Pragmatic Institute, or SAFe) or cloud certification (AWS or Azure) Expected Compensation: $150,000k-$170,000k/yr Compensation details: 00 Yearly Salary PIdaac27d6-

Job Information Job Title D ata Architect Home Department: I nformation Technology Employment Status: Exempt; Full-time Schedule: Flexible Scheduling Opportunities Position Location: Remote/ Hybrid (commutable distance to home office in Fond du Lac, WI) This position offers flexible remote/hybrid work scheduling and we are targeting candidates who are located within the commutable greater Fond du Lac, WI area for infrequent in-person meeting events. Visit us at to learn more. Overview Protecting our policyholders' dreams, passions, and livelihoods has a direct impact on the communities we serve. We work towards excellence, conduct ourselves with high integrity, and take our work seriously, but not ourselves. Small Details. Big Difference. Find out how you can make a difference with a career at Society. Society Insurance is seeking an experienced Data Architect to join our IT team. The Data Architect leads the design and implementation of the enterprise data architecture, translating business and data strategy into scalable, governed, and high-performing data platforms and solutions. The role is accountable for delivering the data architecture vision and enabling execution of the data strategy, including data models, pipelines, platforms, and integration patterns that support analytics, reporting, and operational use cases. The Data Architect partners with business and IT stakeholders to ensure data is trusted, accessible, and aligned to enterprise architecture standards, while driving modernization and continuous improvement of data capabilities. About the Role Translates enterprise data strategy into architecture, platforms, and implementation roadmaps aligned to business and analytics needs. Engages with business and IT stakeholders to gather requirements and define end-to-end data architecture solutions. Defines and governs enterprise data architecture standards, including data models, pipelines, integration patterns, and platform design. Designs and builds scalable data platforms and pipelines (data lakes, warehouses, cloud platforms) to support analytics and reporting. Establishes and enforces data modeling standards (logical, physical, dimensional) across systems and domains. Designs and optimizes data ingestion, transformation, and integration patterns (ETL/ELT) to ensure reliable data movement across systems. Ensures data architecture supports data quality, lineage, metadata, and governance frameworks aligned to enterprise standards. Collaborates with architects and engineers to define architecture enablers, guide solution design, and support implementation. Works with data engineering and Agile teams to ensure architecture is implemented effectively across delivery cycles. Leads evaluation and selection of data technologies, tools, and platforms, including proof-of-concepts (POCs). Develops and maintains data architecture roadmaps, including modernization, consolidation, and performance optimization. Drives modernization of legacy data and reporting platforms to improve scalability, performance, and usability. Ensures alignment between data, application, and infrastructure architecture. Participates in Agile/PI Planning to align teams to a shared technical direction and standards. Acts as a technical expert and leader, mentoring teams and driving adoption of best practices across data architecture and engineering. About Yo u You are analytical and connect data across systems to support business insight and decision-making. You are creative and innovative and identifies better ways to organize, integrate, and govern data. You are driven by an underlying curiosity and desire to know more about things, people, or issues. You take ownership of challenges and drive improvements in architecture, standards, and processes. You quickly apply new knowledge, tools, and ideas to solve business and data challenges. You enjoy managing the efficiency, accuracy, and integrity of the work that you produce. You effectively prioritize work, manage multiple responsibilities, and meet deadlines. What it Will Take Bachelor's degree in computer science, engineering, or related field. 8+ years of experience in data architecture, data engineering, or data platform design. Strong experience designing and implementing data pipelines, data lakes, and data warehouses. Experience with cloud data platforms, (Azure Synapse, Data Factory, Fabric, Databricks, etc.) Deep understanding of data modeling, ETL/ELT patterns, and data integration. Experience implementing data architecture aligned to business and analytics needs. Strong collaboration skills across business, architecture, and engineering teams. Expertise in one or more of the following, but with versatility to grow in other areas: Microsoft stack of Data Tools & Technologies (SQL, SSIS, TSQL) Azure SQL Databases Azure Blob storage Azure App Services Microsoft Azure Synapse, Data Factory & Fabric Microsoft stack of Business Intelligence Tools (Power BI) Data Modeling (Idera ERStudio) Data Warehouse Design Data Analytics Concepts Strong organizational skills. Demonstrated success in managing and/or completing projects. SAFe Agile Delivery experience highly desirable. What Society Can Offer Comprehensive Benefits Package : Salary with bonus plan; health, dental, life, and vision insurance Retirement : Traditional or Roth 401(k) Defined Contribution Plan PLUS Profit-Sharing Plan Work-Life Balance : Company-paid holidays; flexible scheduling; PTO; telecommuting options Education : Career Coaching; company-paid courses; student loan and tuition reimbursement Community : Charitable Match; paid volunteer time; team sponsorships Wellness : Employee Assistance Program; wellness initiatives/rewards; health coaching; and more Society Insurance prohibits discrimination and harassment of any type against applicants and employees on the basis of race, color, religion, sex, national origin, age, handicap, disability, genetics, veteran status or military service, marital status or sexual orientation, gender identity or expression, or any other characteristic or status protected by federal, state or local laws. Society Insurance also provides reasonable accommodations to qualified individuals with disabilities in accordance with the requirements of the Americans with Disabilities Act and applicable state and local laws. PIc5b0b43690ba-1158

Description: GXM is seeking a Digital Engineer to join our team to support advanced defense and space-related mission programs focused on Command and Control (C2), mission systems integration, cloud modernization, and enterprise capability delivery. The selected candidate will support development and maintenance of digital engineering artifacts that enable system visualization, architecture analysis, requirements management, and technical baseline governance across complex mission environments. The Digital Engineer will leverage Model-Based Systems Engineering (MBSE) tools and methodologies to develop digital representations of mission systems, interfaces, data flows, and operational architectures. This role requires close collaboration with architects, systems engineers, software developers, cybersecurity personnel, and mission stakeholders to ensure technical decisions, system dependencies, and requirements are accurately represented and traceable throughout the system lifecycle. This role is onsite in Colorado Springs, CO. Hybrid flexibility may be available over time based on mission requirements, program execution needs, and achievement of objectives. Responsibilities Develop and maintain Model-Based Systems Engineering (MBSE) models supporting mission systems, enterprise capabilities, and operational architectures. Create and manage digital architecture models representing system relationships, interfaces, data flows, and operational dependencies. Develop system dependency visualizations to support architecture analysis, integration planning, and technical decision-making. Support requirements engineering activities, including requirements decomposition, allocation, validation, and management. Establish and maintain traceability between requirements, architecture products, system components, interfaces, and mission capabilities. Support development and management of technical baselines across hardware, software, data, infrastructure, and operational environments. Collaborate with systems engineers, architects, and technical teams to ensure digital engineering artifacts accurately reflect system implementations and architectural decisions. Support architecture reviews, technical assessments, model governance activities, and engineering working groups. Maintain engineering documentation, model repositories, and digital artifacts supporting program execution and modernization efforts. Requirements: U.S. Citizen with active TS/SCI clearance. Bachelor's degree in Engineering, Systems Engineering, Computer Science, Information Systems, or related technical discipline. 5+ years of experience supporting systems engineering, digital engineering, MBSE, or architecture development activities. Experience utilizing MBSE tools such as Cameo, MagicDraw, Sparx Enterprise Architect, or similar modeling platforms. Experience developing architecture models, engineering artifacts, requirements relationships, and technical documentation. Familiarity with systems engineering principles, architecture frameworks, and digital engineering methodologies. Experience supporting requirements management, traceability, and technical baseline development. Strong analytical, problem-solving, communication, and stakeholder engagement skills. Experience working within Agile, DevSecOps, or modern engineering environments. Desired Qualifications Experience supporting defense, space, intelligence, or multi-domain operational environments. Familiarity with DoD Digital Engineering Strategy, MBSE methodologies, or SysML-based modeling approaches. Experience supporting Command and Control (C2) systems, mission systems, or enterprise modernization initiatives. OCSMP, INCOSE ASEP/CSEP, Cameo certification, or equivalent digital engineering certification preferred. $90k-$155k salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other legally protected status. GXM Technologies LLC provides reasonable accommodations in accordance with applicable law. This job description is not intended to be a complete list of duties and responsibilities, which may change at any time with or without notice. Employment is at-will where permitted by law , meaning either the employee or the Company may terminate employment at any time, with or without cause or notice, subject to applicable legal requirements. PI042e00cb6-

Description: GXM Technologies is seeking a highly skilled Technical Integration Lead to drive the design, integration, and operational delivery, systems integration and technical execution of a new advanced Operations Center (Ops Center) supporting multi-domain missions. This role will lead the implementation, integration, deployment and operational readiness of commercial, government, and allied capabilities into a unified operational environment that delivers an enhanced Common Operating Picture (COP), advanced data fusion, and mission decision support. The ideal candidate brings deep expertise in space and mission systems integration, operational environment deployment, modern cloud-native architecture, operational data environments, interface-driven engineering, and operational C2 systems delivery. This individual will play a critical role in defining and integrating operational data streams, architecting scalable operational systems, and developing robust Interface Control Documents (ICDs) that enable interoperability across mission partners, sensors, analytics platforms, and visualization systems. This role supports the capability releases, ensuring operational mission readiness across integrated systems. This role is onsite in Colorado Springs, CO. Hybrid flexibility may be available over time based on mission requirements, program execution needs, and achievement of objectives. Responsibilities Lead day-to-day systems integration and operational delivery activities supporting multi-domain Ops Center operations. Lead selection, integration, testing, implementation and sustainment of multi-domain Common Operating Picture (COP) capabilities, operational visualization tools, space domain awareness (SDA) data services, AI/ML-enabled data fusion, analytics, and modern cloud-based C2 architectures. Integrate heterogeneous operational data streams, including SDA, telemetry, sensor, and mission system feeds. Develop and maintain ICDs, APIs, message schemas, and interface requirements across integrated systems. Design scalable cloud-based, hybrid, and service-oriented system architectures supporting operational mission needs. Support AI/ML-enabled analytics, data fusion, and real-time operational decision-support capabilities. Collaborate with vendors, mission partners, and engineering teams to ensure interoperability, cybersecurity compliance, and rapid capability delivery. Support system testing, integration validation, and continuous platform modernization efforts. Provide technical leadership, architecture guidance, and mentorship to engineering and integration teams. Works closely with the Enterprise Architect to ensure integrated capabilities align with approved architecture standards, interoperability requirements, and long-term scalability objectives. Requirements: U.S. Citizen with active TS/SCI Clearance. Bachelor's degree in engineering, Computer Science, Systems Engineering, or related technical field. 8+ years of hands-on systems integration, operation deployment, or mission systems delivery experience supporting defense, space, or mission-critical systems. Experience with Common Operating Picture (COP) integration and operational visualization platforms. Experience integrating operational data streams, data fusion environments, and distributed systems. Experience with system architecture/design, cloud computing, and hybrid environments. Experience developing ICDs, managing interfaces, APIs, and integration frameworks. Familiarity with C2 systems, mission systems, or SDA environments. Familiarity with REST APIs, microservices, containerized architectures, and enterprise data platforms. Understanding of systems engineering, interoperability, scalability, and cybersecurity principles. Proven ability to lead technical teams and execute complex integration efforts. Desired Qualifications Experience supporting multi-domain operations, Joint Force mission environments, and coalition/allied operational integration activities. Experience supporting USNORTHCOM or other Combatant Command operational environments. Experience with enterprise cloud platforms, hybrid cloud architectures, and distributed mission systems. Experience standing up, modernizing, or operating classified operations centers, mission operations facilities, or secure multi-classification environments. Experience with Kubernetes, containerized platforms, DevSecOps pipelines, Infrastructure as Code (IaC), event-driven architectures, and CI/CD integration frameworks. Familiarity with AI/ML-enabled operational analytics, data fusion platforms, and real-time mission decision-support systems. Experience integrating non-traditional defense technologies and commercial capabilities into operational military or intelligence community environments. Familiarity with operational mission systems supporting Homeland Defense, Multi-Domain Operations (MDO) or Joint All-Domain Command and Control (JADC2). Experience supporting continuous technology insertion, operational modernization initiatives, capability transition activities, or iterative MVP release delivery models. Master's degree in engineering, Systems Engineering, Computer Science, Information Systems, National Security, or related technical discipline preferred. $150,000-$225,000 salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other legally protected status. GXM Technologies LLC provides reasonable accommodations in accordance with applicable law. This job description is not intended to be a complete list of duties and responsibilities, which may change at any time with or without notice. Employment is at-will where permitted by law, meaning either the employee or the Company may terminate employment at any time, with or without cause or notice, subject to applicable legal requirements. PI0c44f90dc6f4-1819

Job Description Job Description Senior Autonomy Engineer About the Company This aerospace startup is reshaping how the world connects from above. The team is developing solar-powered, long-endurance UAVs that operate at the edge of the atmosphere, delivering next-generation, low-latency communication capabilities to areas traditional satellite and ground-based networks cannot serve well. The vision is to redefine global connectivity for everything from underserved regions and disaster response to dynamic, mission-critical coverage. Backed by top-tier investors and led by a tight team of operators and engineers from the most respected names in aerospace, defense, and telecom, this is a rare ground-floor opportunity. They are lean, builder-led, and moving fast toward a near-term flight demonstration. This team has the technical depth, the network, and the timing to leap past incumbents and define the category. We prefer this person to be located in the Bay Area and onsite at headquarters, but for the right candidate we may consider a hybrid arrangement. About the Role This team is looking for a Senior Autonomy Engineer to own the design, architecture, and development of the entire autonomy software stack across the vehicle, payload, and ground infrastructure. As a true founding-team engineer, this person will be a world-class individual contributor and architect, with full latitude to shape how the aircraft flies, recovers, and eventually coordinates as a fleet. This is not a maintenance seat. It is the chance to define the autonomy platform from the ground up and watch your code fly. What You'll Own End-to-end autonomy architecture across vehicle, payload, and ground infrastructure for a long-endurance, high-altitude aircraft Mission management and behavioral executive: design the high-level state machines, behavior trees, and contingency logic that govern mission phases, abort behaviors, fault response, and payload coordination. Path and trajectory planning: build the algorithms for auto-takeoff, landing, dynamic waypoint navigation, geofencing, and end-to-end autonomous routing. Scale toward cooperative and non-cooperative avoidance and energy-aware planning that accounts for battery state of charge, expected solar harvest, and predicted spatial wind fields. Health, status, and fault detection: design robust fault detection and isolation that distinguishes healthy from faulty sensors and actuators, monitors system health, and triggers safe contingency behaviors on board in real time. Fleet management and simulation: build the centralized software that coordinates multiple vehicles across multiple sites, and stand up the cloud infrastructure for large-scale distributed simulation and log analysis. Infrastructure and testing: design and optimize CI/CD pipelines for autonomy software, drive SIL and HIL validation, and own flight readiness for early prototypes. What We're Looking For Deep, hands-on experience with path planning algorithms, finite state machines, and behavior trees. You have shipped autonomy that has flown or driven in the real world, not just in simulation. Strong production-level software engineering skill in a typed language. Heavy preference for Rust. C++ also strongly considered for the right profile. Broad systems architecture instincts. You are comfortable architecting complex, scalable software that bridges embedded vehicle software, ground systems, and cloud-based fleet managers. Embedded software experience on complex hardware platforms. Flying vehicles preferred, but robotics, autonomous ground systems, and other high-stakes hardware count. Ability to move fast and build in ambiguity. You reach for first principles rather than industry standards when the standards do not yet exist for the problem. Strong physics or GNC-adjacent intuition is a plus. The ability to look at flight logs and reason not only about whether mission management responded correctly, but why the aircraft is behaving the way it is, makes you stand out. A strong problem-solving mindset with a bias for action and excellent collaboration instincts. Excitement to be part of an ambitious, technically rigorous founding team, and a desire to do the best work of your career here. Benefits Why You'll Love Working Here Join a powerhouse team of brilliant builders Collaborate with a tight-knit crew of deeply technical operators and engineers from the most respected programs in aerospace, defense, and telecom. You will work alongside founders and leaders with a track record of shipping at the highest bar. Competitive startup salary Be paid well to do the most energizing work of your career. Ground-floor equity Own meaningful upside from day one. Shape the trajectory of the company and participate fully in the value you help create. Excellent health insurance Strong medical coverage so you can stay healthy while pushing the boundaries of what is possible. Dog-friendly office with Bay views Bring your pup and enjoy a beautiful workspace with panoramic water views that spark creativity and focus. Work on a uniquely hard problem Architect autonomy for an aircraft that lives at the edge of the atmosphere, where the wind is often faster than the vehicle and every kilogram, watt, and line of code matters. This is the kind of problem that nerd-snipes the best autonomy engineers in the world. About AdAstra AdAstra Talent Advisors is a headhunting and talent advising firm focused on the Climate, Space, and Defense sectors of Hard Tech. We specialize in pairing highly technical and executive talent with some of the world's leading Hard Tech startups. At AdAstra, we catalyze the innovations that future generations depend on by placing the right people in the right seats. Our dedicated work enables inconceivable technology from Earth, to the stars. And it's all because of trailblazing talent like you - those driven to do what's never been done before. We care about long term relationships with both candidates and companies. Even if the role we initially discuss isn't a perfect fit, it's likely we'll have something relevant to share with you in the future. Join us on our journey by following along via LinkedIn! CEO, Seyka Mejeur LinkedIn profile CTO / COO, Brian Mejeur LinkedIn profile AdAstra Talent Advisors LinkedIn profile AdAstra Website

Job Description Job Description Reports to: Head of Software & Controls Workplace Type: Hybrid (onsite in Santa Cruz 3 days/week) At Capstan Medical, we're building one of the most exciting and innovative companies in medtech-developing a first-of-its-kind robotic platform for minimally invasive heart valve treatment. Our team combines surgical robotics, catheter-based delivery, and next-generation implants to transform complex procedures into safer, lower-stress solutions for patients and clinicians alike. As a highly collaborative, hands-on team, we move fast, wear multiple hats, and believe the best ideas can come from anyone. Based in Santa Cruz, our unique workspace blends cutting-edge Bay Area innovation with a lifestyle-driven environment near trails, beaches, and open space-creating the perfect place to do meaningful, career-defining work. Overview: Join Us in Revolutionizing Cardiac Care from Beautiful Santa Cruz Imagine leading the verification and validation program for life-saving robotics technology while being minutes from world-class surf breaks and redwood forests. We're developing a groundbreaking robotic platform that gives surgeons superhuman precision in transcatheter valve deployment-and we need an exceptional V&V Lead to own the strategy that proves our systems meet the rigorous standards that patient safety demands. You'll be defining and driving verification and validation across our robotic surgical platform, working cross-functionally with systems engineering, software development, quality, and regulatory teams. This is a hands-on leadership role-you'll be writing protocols, executing tests at the bench, and building the V&V program that enables us to bring life-saving technology to patients. Leadership & Strategy Own the V&V strategy for the robotic surgical platform, defining the approach for software, system, and design validation activities Plan and manage V&V project timelines, resource allocation, and deliverables aligned with program milestones and regulatory submissions Establish and continuously improve V&V processes, templates, and infrastructure to scale with the organization Mentor and guide V&V engineers, fostering technical growth and maintaining high standards for verification evidence Cross-Functional Collaboration Partner with systems engineering to influence system requirements, ensuring they are verifiable, traceable, and properly decomposed from user needs Collaborate with regulatory affairs to shape submission strategy and ensure V&V deliverables meet FDA and notified body expectations Work with risk management to ensure verification activities adequately address risk controls and software safety classification per IEC 62304 and ISO 14971 Engage with clinical and human factors teams to plan and execute design validation activities including simulated use and clinical evaluations Represent V&V in design reviews, providing expert input on requirement clarity, testability, and verification approach Technical Execution Design and execute software verification test protocols demonstrating compliance with system and software requirements per IEC 62304 Personally execute test cases at the bench-we don't have a separate test execution team, and all engineers participate in running DV protocols Own requirements traceability matrices linking User Needs through system requirements, software requirements, and verification evidence Develop and execute test strategies spanning unit, integration, and system-level verification for real-time robotic control software Author and review test protocols and reports that withstand regulatory scrutiny from FDA and notified body reviewers Drive adoption of automated test frameworks that integrate with CI/CD pipelines while maintaining design control compliance Skills: Deep expertise in IEC 62304 software lifecycle processes, safety classification, and verification requirements Strong understanding of ISO 14971 and IEC 60601 risk management principles and how verification addresses risk controls Proven ability to develop V&V strategies and plans for complex medical device programs Experience managing V&V timelines, resources, and deliverables across multiple concurrent workstreams Proficiency in requirements management and traceability tools (e.g., Jama, DOORS, Polarion, or similar) Excellent technical writing skills-you can author and review audit-ready documentation Strong communication and influencing skills-you can drive alignment across engineering, quality, and regulatory stakeholders Understanding of the complete design control process from user needs through design transfer and post-market surveillance Preferred: Experience with robotic systems, motion control, or real-time embedded software testing Experience building or scaling V&V functions in a startup or growth-stage environment Experience with test automation frameworks and scripting (Python preferred) Experience with test fixtures, hardware-in-the-loop testing, or bench test development Knowledge of FDA 21 CFR 820, ISO 13485, and EU MDR requirements Track record of successful FDA 510(k), De Novo, or PMA submissions Exposure to usability engineering (IEC 62366) and design validation methodologies Requirements: BS in Computer Science, Software Engineering, Biomedical Engineering, or equivalent; MS preferred 5-10 years of experience in software V&V, test engineering, or software quality in the medical device industry Demonstrated leadership experience-formal or informal-in guiding V&V activities and mentoring engineers Comfortable being hands-on: you're energized by executing tests yourself, not just delegating Track record of delivering verification evidence packages for regulatory submissions Experience working cross-functionally to influence requirements, risk management, and design decisions Ability to work in a hybrid environment, onsite 3 days a week at our Santa Cruz, CA office. In the future, there will be an option to work one day from our satellite office in Los Altos, CA. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description At ASAPP, our mission is simple: deliver the best AI-powered customer experience-faster than anyone else. To achieve that, we're guided by principles that shape how we think, build, and execute. We value customer obsession, purposeful speed, ownership, and a relentless focus on outcomes. We work in tight, skilled teams, prioritize clarity over complexity, and continuously evolve through curiosity, data, and craftsmanship. We're seeking technologists and problem solvers who thrive in fast-paced environments, love collaborating with great talent, and approach every day like it's Day 1. We're a globally diverse team with hubs in New York City, Mountain View, Latin America, and India-embracing both hybrid and remote work to bring the best minds together, wherever they are. If you're driven by continuous learning, rapid pivots, and the challenges of building in a high-growth startup, we'd love to talk. This is more than a job-it's a journey. Site Reliability Engineers (SREs) are responsible for the overall performance and reliability of ASAPP's infrastructure and products. The team owns the entire infrastructure stacks. SREs design and implement the tools that automate building reliable and performant systems. We emphasize building tools over manual processes. We implement, not administer. We're obsessed with automation, not repetition. Our job is to focus on building reliable infrastructure and tools for our product teams so that they can solve customer problems and deliver new features, not reinvent platforms. What you'll do Work with product engineering teams on service architecture and implementation Deliver Infrastructure configuration as code and automate everything Direct and implement monitoring and alerting systems to support rapid problem diagnosis Perform Root Cause Analysis and design and deliver resolutions Work on our Kubernetes / AWS infrastructure to support our product engineers Design secure and performant networking solutions in our production systems What you'll need +4 years of relevant experience bringing software to production at high scale Participation in on-call rotation, triaging and addressing production issues Obsession with automation and instrumentation Understanding of complex systems and failure scenarios Excellent communication skills Knowledge of AWS services, containers and container management frameworks Familiarity with Message Bus based systems and distributed architectures Proficiency in Terraform , Python and/or Go What we'd like to see BS or MS degree in the Computer Science field, or equivalent hands-on experience. Experience in product oriented environments Scalable distributed applications experience Benefits Competitive compensation with stock options Comprehensive medical, vision, and dental insurance 401k matching Fitness and wellness stipend Mobile phone reimbursement Mental well-being benefits Professional learning and development stipend Parental leave, including adoptive and foster parents 3 weeks paid time off (increases with tenure) and unlimited sick leave Compensation is a combination of salary and performance bonus Separately, you will also receive an equity grant ASAPP is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you have a disability and need assistance with our employment application process, please email us at to obtain assistance. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description About Cyngn Based in Mountain View, CA, Cyngn is a publicly-traded autonomous technology company. We deploy self-driving industrial vehicles like forklifts and tuggers to factories, warehouses, and other facilities throughout North America. To build this emergent technology, we are looking for innovative, motivated, and experienced leaders to join us and move this field forward. If you like to build, tinker, and create with a team of trusted and passionate colleagues, then Cyngn is the place for you. Key reasons to join Cyngn: We are small and big. With under 100 employees, Cyngn operates with the energy of a startup. On the other hand, we're publicly traded. This means our employees not only work in close-knit teams with mentorship from company leaders-they also get access to the liquidity of our publicly-traded equity. We build today and deploy tomorrow. Our autonomous vehicles aren't just test concepts-they're deployed to real clients right now. That means your work will have a tangible, visible impact. We aren't robots. We just develop them. We're a welcoming, diverse team of sharp thinkers and kind humans. Collaboration and trust drive our creative environment. At Cyngn, everyone's perspective matters-and that's what powers our innovation. About this role: Cyngn builds autonomous industrial vehicle solutions that run in real warehouses and outdoor yards-not demos. As a Robotics Integration Engineer (Mid-Junior) , you'll help bring autonomy to life by integrating hardware + sensors + vehicle software into a reliable, production-ready stack. This is a hands-on role working with Linux systems , real sensors, and real vehicles-partnering closely with senior robotics, autonomy, and platform engineers to ship systems that are stable, debuggable, and performant in industrial environments. Responsibilities Integrate and validate sensors such as LiDAR, cameras, IMU/GNSS , and other vehicle hardware. Own mission-critical system pieces: state management , health monitoring, diagnostics, logging, and fleet-ready tooling. Work on vehicle communications including CAN bus (interfaces, message handling, reliability, basic ECU/firmware touchpoints). Build and maintain the glue that makes the stack work: drivers, bring-up scripts, config management, calibration workflows , and time synchronization basics. Troubleshoot complex issues across hardware + software + networking (timing drift, dropped frames, driver issues, flaky connections, bandwidth constraints). Profile and optimize performance for real-time-ish workloads (high-bandwidth sensor streams, CPU/memory bottlenecks, startup stability). Help create and maintain integration tests and validation workflows (reproducible tests, automated checks, regression catches, log replay). Collaborate across perception, localization, controls, and product teams to integrate systems cleanly and ship improvements quickly. Write clear documentation for integration procedures, system configuration, and "how to debug this when it breaks." Qualifications 2-4+ years in robotics integration, autonomy, embedded/systems engineering, or adjacent experience working close to hardware. Strong programming ability in: C++ (systems/performance -critical code) Python (tooling, automation, integration glue) Shell scripting (Linux workflows, debugging, automation) Solid experience with Linux (Ubuntu) , including building, packaging, and running systems in the field. Comfort with sensor + hardware bring-up (drivers, calibration workflows, time sync concepts, logs, reproducible setup). Understanding of networking fundamentals (TCP/UDP, bandwidth/latency tradeoffs, basic multicast, and debugging with common tools). Strong debugging instincts: you can form a hypothesis, gather evidence, and drive to root cause across layers. Clear communicator with good documentation habits and a low-ego, team-first approach. Bonus Qualifications Experience with ROS 2 (nodes, launch, TF2, bags, QoS) or other robotics middleware frameworks. Experience with CAN tooling (SocketCAN, DBC workflows) and/or ECU/firmware update flows. Experience with containerized deployments (e.g., Docker) or production deployment patterns on vehicles. Familiarity with profiling tools (perf, top/htop, valgrind, gdb) and performance tuning. Exposure to OTA / device management systems (e.g., AWS Greengrass) or fleet rollout practices. Understanding of safety-oriented development practices (fault handling, watchdogs, redundancy concepts). Experience with simulation environments (e.g., NVIDIA Isaac Sim , Gazebo, or similar) for integration and regression testing. CI/CD experience for robotics stacks (automated builds/tests, hardware-in-the-loop or log replay workflows). Benefits & Perks Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge) Life, Short-term and long-term disability insurance (Cyngn funds 100% of premiums) Company 401(k) Commuter Benefits Flexible vacation policy Remote or hybrid work opportunities Sabbatical leave opportunity after 5 years with the company Paid Parental Leave Daily lunches for in-office employees Monthly meal and tech allowances for remote employees Please note salary range is for Bay Area residents - we're still accepting remote applicants! We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Founded in 2012, H2O.ai is on a mission to democratize AI. As the world's leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI-secure, compliant, and infrastructure-flexible deployments-H2O.ai delivers solutions that align with the highest standards of data privacy and control. Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai's AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users. H2O.ai has raised 256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. For more information, visit . About This Opportunity We are looking for a Principal AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing field team, meaning your work will be seen, used, and evaluated by real enterprises from day one. You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos - into production, into workflows, and into measurable business outcomes. This position is based in San Francisco, Bay Area. What You Will Do Customer Engagement Leadership Lead end-to-end technical engagement with enterprise customers, acting as the senior point of accountability for delivery quality, stakeholder relationships, and outcomes. Manage multiple concurrent engagement streams simultaneously - coordinating workplans, resourcing, and milestones across cross-functional teams. Serve as the primary technical escalation point for customer issues, proactively identifying risks and driving resolution across engineering, product, and leadership. Build and maintain trusted relationships with customer data science teams, engineering leads, and executive stakeholders - translating business needs into technical direction and back again. Lead pre-sales and proof-of-concept engagements, setting the technical strategy and ensuring the team delivers demonstrations that build genuine enterprise trust. Represent H2O.ai externally at customer workshops, executive briefings, and technical deep-dives as a credible senior voice. Agentic AI & LLM Engineering Design and build agentic AI systems and multi-agent frameworks that automate complex, multi-step enterprise workflows. Develop and deploy LLM-powered applications using RAG, fine-tuning, prompt engineering, function calling, and tool use. Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production-grade reliability and safety. Stay current with the rapidly evolving agentic AI landscape - MCP, LLM orchestration frameworks, reasoning models - and bring the best into customer engagements. End-to-End AI Application Development Own the full development lifecycle across multiple streams: from problem framing and data exploration through model development, API integration, and production deployment. Build scalable backend services and APIs that expose AI capabilities to enterprise applications and workflows. Integrate AI models into customer environments - cloud, on-prem, and hybrid - ensuring performance, stability, and maintainability at scale. Develop ML pipelines and LLMOps infrastructure that support continuous model improvement and monitoring in production. Team Collaboration & Delivery Excellence Coordinate delivery across engineers, program managers, and solution architects - ensuring workstreams are aligned, unblocked, and progressing to plan. Set the technical bar for the engagements you lead, reviewing outputs, shaping architecture decisions, and ensuring engineering quality across the team. Mentor and guide junior ML engineers and solution engineers within engagements, building team capability alongside delivery. Collaborate closely with H2O.ai product and engineering teams to surface customer feedback, shape roadmap input, and resolve platform-level issues. What We Are Looking For Experience & Background 8+ years of hands-on AI/ML engineering experience, including end-to-end model development and production deployment. Demonstrable experience leading technical delivery across complex, multi-stakeholder enterprise engagements - not just executing within them. Demonstrable experience building LLM-powered applications - RAG pipelines, agentic workflows, fine-tuned models, or similar. Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (LangChain, LlamaIndex, or equivalent). Experience deploying AI services in cloud or enterprise environments (AWS, Azure, GCP, on-prem Kubernetes). Skills & Capabilities Proven ability to manage multiple concurrent workstreams and coordinate cross-functional teams toward shared delivery milestones. Deep understanding of modern GenAI concepts: prompt engineering, RAG, fine-tuning, RLHF, model evaluation, guardrails, and LLMOps. Solid grounding in classical ML - able to select the right tool for the problem, not just default to the latest LLM. Backend development skills: REST APIs, containerisation (Docker/Kubernetes), and CI/CD pipelines for AI applications. Strong executive communication - able to run a board-level briefing one hour and a technical design review the next, credibly. Comfortable with ambiguity and able to set direction for a team when requirements are incomplete or evolving. How to Stand Out From the Crowd Kaggle or competitive ML experience. Familiarity with H2O.ai products, Wave, or H2O Document AI. Experience in financial services, healthcare, or other regulated industry AI deployments. Exposure to tabular foundation models, AutoML, or enterprise ML platforms. Prior experience in a customer-facing or field engineering role. Why H2O.ai? Market leader in total rewards Remote-friendly culture Flexible working environment Be part of a world-class team Career growth H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We've made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world's top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company's purpose. Please visit to learn more. Powered by JazzHR ZnRHQBiPpf

Job Description Job Description Wanna join the adventure? As a Site Reliability Engineer with strong networking skills in our Cloud Infrastructure (SRE) team, you help the team own the networks that keep Loft running: cloud networking, VPN and site-to-site connectivity, segmentation, and routing across our offices, test equipment, and ground stations. You keep them reliable, observable, and secure as we scale. You coordinate with IT on the network components that interface with the physical infrastructure used by employees. You coordinate with the Test-Infrastructure team to ensure our test equipment is securely accessible. You'll work the way an SRE team works: defining reliability in measurable terms (SLOs for connectivity and ground-station availability), instrumenting the systems that prove it, managing the network as code, and automating away toil so on-call load doesn't grow with the fleet. Beyond the network, you'll help the SRE team across its broader scope by participating in all the daily work just like a regular SRE: platform reliability and expansion, incident response, planning and user support. About this role: Participate in the design and implement Loft's network architecture ; cloud networking, VPN/site-to-site, segmentation, and routing across offices, ground stations, and test equipment Tighten the network security posture : segmentation, access, and connectivity hardening Manage the network as code : IaC provisioning, CI/CD, and GitOps Define SLOs for connectivity and ground-station availability, and own the observability (metrics, logs, tracing) that measures them; Grafana-centric stacks a plus Investigate and resolve reliability issues with root-cause analysis and durable fixes; reduce operational toil through automation Contribute to the SRE team's broader reliability and incident-response work, fostering the SatDevOps culture that power Loft's DNA Must haves: 4-5 years in network engineering , with deep hands-on networking: routing, VPN/site-to-site, segmentation, DNS, firewalling Hands-on Software-Defined Networking : comfortable managing networks programmatically / as code rather than appliance-by-appliance (everything we run is IaC) Strong public-cloud networking experience, ideally GCP (VPCs, peering, hybrid connectivity) Comfortable operating on a Kuburnetes platform (k8s, Docker) and occasionally writing code Infrastructure-as-Code (Terraform or similar) and a CI/CD-driven, GitOps workflow An SRE mindset : SLOs, observability, and reducing toil through automation Ability to debug connectivity issues in a complex, hybrid network environment Degree in Computer Science or a related field, or equivalent practical experience Nice to haves: Network certifications (CCNP or similar) Hands-on experience with GitOps frameworks (ArgoCD, FluxCD) Interest or experience in FinOps and cost-optimized architectures Familiarity with security practices : vulnerability scanning, threat detection, risk mitigation Understanding of orchestration in resource-constrained environments , like space systems Some of our awesome benefits: 100% company-paid medical, dental, and vision insurance option for employees and dependents Flexible Spending (FSA) and Health Savings (HSA) Accounts offered with an employer contribution to the HSA 100% employer paid Life, AD&D, Short-Term, and Long-Term Disability insurance Flexible Time Off policy for vacation and sick leave, and 12 paid holidays 401(k) plan and equity options Daily catered lunches and snacks in office International exposure to our team in France Fully paid parental leave; 14 weeks for birthing parent and 10 weeks for non-birthing parent Carrot Fertility provides comprehensive, inclusive fertility healthcare and family-forming benefits with financial support Off-sites and many social events and celebrations Relocation assistance when applicable State law requires us to tell you the base compensation range for this role, which is $157,000- $239,000 per year . This is determined by your education, experience, knowledge, skills, and abilities. The salary range for this role is intentionally wide as we evaluate individuals based on their unique experience and abilities to fit our needs. Most importantly, we are excited to meet you, and see if you are a great fit for our team. What we can't quantify for you are the exciting challenges, supportive team, and amazing culture we enjoy. Research shows that while men apply to jobs where they meet an average of 60% of the criteria, women and other underrepresented people tend to only apply when they meet 100% of the qualifications. At Loft, we value respectful debate and people who aren't afraid to challenge assumptions. We strongly encourage you to apply, even if you don't check all the boxes. Who We Are Loft: Space Made Simple. Founded in 2017, Loft provides governments, companies, and research institutions with a fast, reliable, and simple way to deploy missions in orbit. We integrate, launch, and operate spacecraft, offering end-to-end missions as a service across Earth observation, IoT connectivity, on-orbit AI, national security missions, and more. Leveraging our existing space infrastructure and an extensive inventory of satellite buses, Loft is reducing years-long integration and launch timelines to months. With more than 30 missions flown, Loft's flight heritage and proven technologies enable customers to focus on their mission objectives. With a growing fleet on track to reach 30 satellites by 2027, we are scaling up quickly across our offices in San Francisco, CA u007C Golden, CO u007C and Toulouse, France to meet accelerating demand for space infrastructure. As an international company your resume will be reviewed by people across our offices so please attach a copy in English.

Job Description Job Description Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide. Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves. Five9 is one of the world's leading cloud contact center platforms. Our AI-powered Automated Quality Management (AQM) product is transforming how enterprises measure, evaluate, and improve agent and interaction quality at scale. As we build out our dedicated AQM Prompt Engineering capability within Specialized Services, we are hiring a Senior WEM AQM Prompt Engineer to lead and shape this practice. This senior role goes beyond hands-on prompt design. You will be the technical authority for Five9 AQM prompt engineering - setting standards, building reusable assets, mentoring the Prompt Engineer team, and acting as the go-to expert for complex customer escalations and pre-sales engagements. If you have spent a significant portion of your career building sophisticated Speech Analytics programs in Verint, NICE, or Genesys - and you have developed serious prompt engineering skills alongside that domain expertise - this role was designed for you. Why Your Speech Analytics Background is the Foundation for This Role Building effective AQM prompts follows the same disciplined, iterative methodology that defines expert-level Speech Analytics category design: Speech Analytics / Verint AQMFive9 AQM Prompt EngineeringDefine category intent & scopeDefine prompt intent & evaluation scopeSelect & tag representative call samplesSelect evaluation call samplesIteratively tune keyword / phrase setsIteratively refine prompt wording & logicTest against live call trafficTest prompt outputs against real callsValidate recall & precision metricsValidate pass / fail accuracy metricsDocument & hand off to QA teamDocument prompts for QA workflow At the senior level, this role adds a leadership and practice-building dimension: you will set the standards the rest of the Prompt Engineering team follows and serve as the technical authority across the most complex customer engagements. Key Responsibilities - Practice Leadership • Serve as the technical lead and subject matter authority for Five9 AQM Prompt Engineering within Specialized Services. • Define and own the prompt engineering methodology, standards, quality gates, and best practice documentation for the team. • Build and maintain a curated, reusable prompt library of validated evaluation templates spanning key verticals and QM use cases. • Mentor and technically guide the WEM AQM Prompt Engineer team (x3), conducting prompt reviews and providing structured feedback. • Drive continuous improvement of the team's prompt design process based on performance data, customer outcomes, and LLM platform developments. Key Responsibilities - Customer Delivery • Lead prompt engineering on the most complex and high-value AQM customer engagements, from initial scoping through production deployment. • Act as the senior escalation point for prompt performance issues, failure analysis, and remediation on live customer deployments. • Partner with customers at senior stakeholder level to translate QM strategy and compliance requirements into precise, measurable AQM evaluation criteria. • Design and execute prompt validation frameworks - including representative call sampling, precision/recall analysis, and A/B prompt testing - to ensure accuracy before production release. Key Responsibilities - Product & Pre-Sales Collaboration • Serve as the Prompt Engineering SME in pre-sales engagements, demonstrating Five9 AQM capabilities and advising prospective customers on prompt-driven evaluation design. • Provide structured product feedback to the Five9 AQM product team based on field experience, identifying gaps, limitations, and enhancement opportunities. • Develop and deliver internal training and enablement for consultants and implementation staff on AQM prompt engineering techniques. • Represent the Prompt Engineering practice in cross-functional forums and contribute to go-to-market materials, customer case studies, and thought leadership content. Key Requirements • Minimum 5 years' hands-on experience as a Speech Analytics Lead, Senior QM Analyst, or WEM Consultant with deep expertise in category/topic design, program governance, and optimization in Verint (Categories/Category Sets), NICE CXne (Category Sets), Genesys (Topics), or equivalent - at a seniority level sufficient to have owned or led an analytics program. • Formal prompt engineering qualification or a verifiable, substantive portfolio of production-grade prompt design work, including evidence of iterative refinement, performance measurement, and documentation. • Demonstrable understanding of LLM behavior - including how prompt structure, instruction framing, persona assignment, chain-of-thought, and few-shot examples affect model outputs. • Strong background in Quality Management design: experience building evaluation frameworks, scorecard design, calibration processes, and QM governance. • Experience leading or mentoring technical team members in a delivery or consulting environment. • Proven track record of translating complex business requirements into structured, testable, and scalable technical solutions. • Excellent written and verbal communication skills; comfortable presenting to senior client stakeholders and internal leadership. • BA/BS or equivalent experience; advanced degree in a relevant discipline is advantageous. Preferred Qualifications • Formal prompt engineering certification: DeepLearning.AI Prompt Engineering for Developers, Anthropic Prompt Engineering, OpenAI Prompt Engineering, DAIR.AI Prompt Engineering Guide, or equivalent industry-recognized program. • Direct experience with one or more leading LLM platforms at an advanced level (OpenAI GPT-4+, Anthropic Claude, Google Gemini, Meta Llama, or similar), including API usage, system prompt design, and evaluation harness development. • Prior hands-on experience with Five9 AQM or another AI-native QM solution (e.g., NICE Enlighten QM, Genesys Cloud AI Quality, Medallia, Qualtrics). • Experience contributing to or owning a Speech Analytics or QM center of excellence - including methodology documentation, internal training, and cross-client best practice standardization. • Familiarity with prompt evaluation frameworks (e.g., LLM-as-judge, human-in-the-loop evaluation pipelines, or equivalent). • Exposure to NLP concepts - tokenization, embeddings, semantic similarity - sufficient to reason about why a prompt succeeds or fails. • Experience with JSON, Python scripting, or no-code automation tools as applied to prompt testing and workflow automation. • Background in contact center compliance-driven QM (financial services, healthcare, utilities) where regulatory accuracy requirements add additional complexity to evaluation design. Key Competencies • Technical Authority - recognized internally and externally as the go-to expert on LLM prompt design for contact Centre quality evaluation. • Analytical Rigor - applies statistical thinking and structured measurement to validate and continuously improve prompt performance. • Linguistic Mastery - exceptional command of written instruction; understands how nuance, framing, and ambiguity in prompt language directly influence AI outputs. • Leadership & Coaching - ability to elevate the capability of others through structured mentoring, peer review, and knowledge transfer. • Strategic Customer Engagement - trusted advisor to senior client stakeholders on the use of AI in quality management. • Innovation Orientation - proactively monitors the LLM landscape and identifies opportunities to improve Five9 AQM prompt design practices. • Operational Excellence - drives the team toward repeatable, scalable processes without sacrificing quality or creativity. About Five9 WEM Specialized Services The Specialized Services team within Five9 Professional Services delivers expert-led implementation, optimization, and advisory engagements across the Five9 WEM portfolio. Our AQM Prompt Engineering practice is a newly established Centre of excellence, designed to ensure that customers realize the full potential of Five9's AI-powered quality management capabilities. As the founding senior hire into this practice, the Senior WEM AQM Prompt Engineer will have a rare opportunity to define how prompt engineering is done at Five9 - and to build something genuinely new. Work Location: This role is fully remote for candidates who reside outside the 30 mile radius of one of our offices. For candidates who reside within a 30 mile radius of one of our offices, this role is Hybrid and would require 3 days a week (T, W, TH) in office. As part of our continued commitment to diversity, equity, and inclusion, Five9 supports pay transparency during the entire recruitment process. Actual compensation packages are based on several factors that are unique to each candidate including, but not limited to: skill set, depth of experience, certifications, and specific work location. The range displayed reflects the minimum and maximum target for new hire salaries for the job across the United States. Your recruiter can share more about the specific compensation package during your hiring process. Additionally . click apply for full job details