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Req ID: 572 Job Title: ELECTRICAL ENGINEER I Location: Jacksonville, FL, US 32201 Job Type: Full-Time Education: Bachelor's Degree Travel: Up to 25% Job Requirements: Knowledge, Skills, and Abilities • Solid understanding of electrical theory and engineering techniques., • Ability to read and interpret schematics., • Familiarity with lab tools (multimeter, power supplies, etc.)., • Familiarity with engineering standards (ASME, IEEE, NEC, IEC, etc.)., • Good computer skills with Microsoft Office applications., • Working knowledge of military connectors, terminals, wiring, and circuit protection a plus., • Working knowledge of both AC (single and three phase, 60-400Hz) and DC electrical systems a plus., • Working knowledge of serial communication protocols (RS232, RS482, RS422, ARINC-429, etc.) a plus., • Working knowledge of video (VGA, DVI, DP, HDMI) and communication (USB, Serial, Ethernet) connectivity a plus., • Ability to learn quickly and adapt to new technologies., • Experience in reverse-engineering a plus., • Must be able to travel., • Ability to communicate effectively, both verbal and in writing., • Must be able to obtain a security clearance when required by the contract. Education and Experience • Bachelor of Science in an engineering discipline from an ABET accredited school, Electrical Engineering is strongly preferred., • Some experience with CAD tools; AutoCAD and/or SolidWorks Electrical experience is preferred. PI157729430aef-37820-41735282

Req ID: 572 Job Title: ELECTRICAL ENGINEER I Location: Jacksonville, FL, US 32201 Job Type: Full-Time Education: Bachelor's Degree Travel: Up to 25% Job Requirements: Knowledge, Skills, and Abilities • Solid understanding of electrical theory and engineering techniques., • Ability to read and interpret schematics., • Familiarity with lab tools (multimeter, power supplies, etc.)., • Familiarity with engineering standards (ASME, IEEE, NEC, IEC, etc.)., • Good computer skills with Microsoft Office applications., • Working knowledge of military connectors, terminals, wiring, and circuit protection a plus., • Working knowledge of both AC (single and three phase, 60-400Hz) and DC electrical systems a plus., • Working knowledge of serial communication protocols (RS232, RS482, RS422, ARINC-429, etc.) a plus., • Working knowledge of video (VGA, DVI, DP, HDMI) and communication (USB, Serial, Ethernet) connectivity a plus., • Ability to learn quickly and adapt to new technologies., • Experience in reverse-engineering a plus., • Must be able to travel., • Ability to communicate effectively, both verbal and in writing., • Must be able to obtain a security clearance when required by the contract. Education and Experience • Bachelor of Science in an engineering discipline from an ABET accredited school, Electrical Engineering is strongly preferred., • Some experience with CAD tools; AutoCAD and/or SolidWorks Electrical experience is preferred. PI67188508e91c-38003-41735282

Position: Network & Computer Systems Engineer Location: Remote Terms: Full Time Clearance: Ability to obtain a Public Trust Clearance Travel: 0–10% We’re a mission-driven IT services company and systems integrator supporting digital transformation and modernization for Federal government agencies. Since 2009, we’ve partnered with our customers to solve complex challenges through smart, practical innovation to deliver real outcomes where they matter most. Our teams are made up of industry-leading experts who are passionate about doing great work and making a difference. We don’t just develop solutions—we support efforts that strengthen communities and serve the public good. RIVA’s culture is built on four core values: Results, Innovation, Values, and Accountability. They guide how we work, how we collaborate, and how we measure success. Our employee-first approach is rooted in trust, ownership, and meaningful work. By investing in our people and fostering a flexible, supportive environment, you will have the opportunity to grow your skills, contribute ideas, and make an impact from day one—all while supporting missions that matter. Program Overview The Network and Computer Systems Administrator (Firewall Engineer) supports secure, reliable enterprise network and security operations for a Federal customer. The role helps sustain mission-critical connectivity and access across LAN, WAN, internet, wireless, firewall, network access control, load-balancing, endpoint management, and security-monitoring technologies. The position also contributes to continuous diagnostics and mitigation activities, vulnerability remediation, configuration compliance, and service continuity across the enterprise environment. Position Overview RIVA Solutions is seeking an experienced Network and Computer Systems Administrator (Firewall Engineer) to install, configure, operate, maintain, and troubleshoot enterprise network and security infrastructure. The ideal candidate brings hands-on expertise with Palo Alto Networks firewalls, Cisco Identity Services Engine, enterprise wireless technologies, F5 Networks load balancing, Splunk or comparable SIEM platforms, and endpoint-management tools. This role works closely with cybersecurity, infrastructure, application, and service-management teams to maintain secure access, resolve incidents, implement approved changes, and improve network performance and resilience. Core Responsibilities • Install, configure, administer, and maintain LAN, WAN, internet, wireless, and enterprise network-security infrastructure., • Administer and support Palo Alto Networks firewalls, including security policies, rules, upgrades, configuration changes, and logging., • Support Cisco Identity Services Engine (ISE) for network access control, authentication, authorization, and endpoint visibility., • Configure and troubleshoot enterprise Wi-Fi networks, wireless controllers, access points, and wireless-security standards., • Administer and support F5 Networks load balancers and related application-delivery services., • Monitor network availability, capacity, performance, and security events; identify abnormal behavior and service degradation., • Troubleshoot network outages, firewall issues, wireless connectivity problems, access-control failures, VPN issues, and performance problems., • Review network and security logs using Splunk and other SIEM tools to support incident analysis and operational monitoring., • Support Continuous Diagnostics and Mitigation (CDM) activities, including vulnerability remediation and configuration-compliance efforts., • Support mobile-device and endpoint management using VMware AirWatch and Microsoft Intune., • Perform network-device maintenance, patching, software upgrades, configuration changes, and lifecycle support., • Develop and maintain technical documentation, network diagrams, standard operating procedures, configuration records, and implementation plans., • Coordinate with cybersecurity, infrastructure, application, and service-management teams to resolve incidents and implement approved changes. Minimum Qualifications • Bachelor’s degree in Information Technology, Computer Science, Cybersecurity, Engineering, or a related field. Relevant professional experience may be considered in lieu of a degree., • Four (4) years of relevant network or systems administration experience, including at least two (2) years of hands-on experience supporting enterprise firewalls, network access control, wireless networks, or related network-security technologies., • Experience administering and supporting enterprise network and security infrastructure., • Hands-on experience with Palo Alto Networks firewalls., • Experience with Cisco Identity Services Engine (ISE) and network access control technologies and processes., • Experience supporting enterprise wireless networks, wireless controllers, access points, and applicable wireless-network standards., • Experience with F5 Networks load-balancing and application-delivery technologies., • Experience using Splunk or another SIEM platform for security and operational monitoring., • Experience supporting continuous diagnostics and mitigation, vulnerability remediation, or configuration-compliance activities., • Experience with VMware AirWatch and Microsoft Intune for endpoint or mobile-device management., • Knowledge of LAN, WAN, TCP/IP, DNS, DHCP, routing, switching, firewalls, VPNs, access-control lists, and network-security principles., • Experience monitoring, troubleshooting, maintaining, patching, and upgrading network devices and services., • Ability to develop clear technical documentation and communicate effectively with both technical and nontechnical stakeholders., • Ability to obtain and maintain a Government Public Trust background investigation or designation. Preferred Qualifications • Experience supporting Federal Government networks or other regulated enterprise environments., • Experience with Palo Alto Panorama for centralized firewall management., • Experience with Cisco wireless controllers, routers, and switches., • Experience supporting vulnerability remediation, security hardening, and compliance activities., • Cisco, Palo Alto Networks, CompTIA, Splunk, F5, Microsoft, or VMware certifications. Salary $95,000 RIVA Benefits • Paid Time Off / Sick Leave, • Health, Dental, and Vision Coverage, • Life Insurance, • 401(k) Retirement Plan with Company Match, • HSA/FSA Spending Accounts, • Long- and Short-Term Disability, • Pet Insurance, • Wellness Program Initiatives, • RIVA Flex (Flexible Hours and Hybrid Support, where applicable), • Additional Workplace Benefits Equal Opportunity Statement RIVA Solutions is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy and related conditions), sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any protected class. If you need a reasonable accommodation to search for a job opening or to submit an online application, please email _. Only messages left for this purpose will be returned.

CareDx is a leading precision medicine diagnostics company advancing care in transplant, specialty oncology, and cell therapy. Through our innovative portfolio of molecular diagnostics, digital health solutions, AI-powered data and analytics, and patient support services, we partner with healthcare providers, patients, and biopharma organizations to help inform clinical decision-making and improve patient outcomes. At CareDx, every employee has the opportunity to contribute to innovations that help transform patient care and improve lives. The Support Systems Engineer plays a key role in implementing, configuring, and supporting multiple CareDx software platforms and HL7 interfaces. This role ensures system reliability, performance, and seamless customer experience within defined budgets and timelines. Responsibilities: Technical Support & Implementation • Deploy, configure, and support CareDx software, including transplant, medication, and patient management platforms., • Troubleshoot and resolve issues related to operating systems, databases (SQL, Oracle), and application interfaces., • Support and maintain HL7 interfaces, including custom filtering and performance monitoring., • Assist with remote connectivity setup and VPN configurations for customer sites., • Ensure compliance with SLAs while managing ticket queues and project timelines. Customer Engagement & Documentation • Advise customers on software and hardware requirements before deployment., • Provide ongoing support with a strong focus on customer service and follow-up., • Document processes, configurations, and troubleshooting steps for internal and external use. Collaboration & Continuous Improvement • Work independently to execute implementation plans and resolve technical issues., • Coordinate with cross-functional teams to optimize system performance., • Stay up to date with emerging technologies to improve deployment and support processes. Qualifications & Experience: Required: • Education: Bachelor’s degree in MIS, Computer Science, or a related field (or equivalent experience)., • Experience: 2+ years of experience in system engineering, implementation, and automation., • Proficiency in writing complex SQL queries and managing Microsoft SQL Server & Oracle databases., • Experience with SAP Crystal Reports and software interface troubleshooting., • Strong knowledge of Microsoft Windows Active Directory and VPN protocols (Cisco, Nortel, RDP, etc.)., • Expectation is to be on call one week per month Preferred: • Experience in biomedical systems engineering., • Familiarity with IIS Web Services and website management., • Knowledge of coding languages such as Python, C++, or JavaScript., • Experience with data conversions and network administration. Success Metrics: • Provides timely and effective technical support with high customer satisfaction., • Ensures seamless software deployment with minimal disruptions., • Maintains accurate documentation and knowledge sharing., • Continuously enhances technical skills and industry knowledge. Additional Details: Every individual at CareDx has a direct impact on our collective mission to improve the lives of organ transplant patients worldwide. We believe in taking great care of our people, so they take even greater care of our patients. Our competitive Total Rewards package for US Employees includes: • Competitive base salary and incentive compensation, • Health and welfare benefits, including a gym reimbursement program, • 401(k) savings plan match, • Employee Stock Purchase Plan, • Pre-tax commuter benefits, • And more!, • Please refer to our page to view detailed benefits at _ In addition, we have a Living Donor Employee Recovery Policy that allows up to 30 days of paid leave annually to a full-time employee who makes the selfless act of donating an organ or bone marrow. With products that are making a difference in the lives of transplant patients today and a promising pipeline for the future, it’s an exciting time to be part of the CareDx team. Join us in partnering with transplant patients to transform our future together. CareDx, Inc. is an Equal Opportunity Employer-vets/disabled, and participates in the E-Verify program. By proceeding with our application and submitting your information, you acknowledge that you have read our and consent to receive email communication from CareDx. Certain jurisdictions require notice of how we use and protect your personal information. For more information, please read our The U.S. EEO posters are available _. Note: We do not accept resumes from headhunters, placement agencies, or other suppliers that have not signed a formal agreement with us. #LI-Remote This is the anticipated base salary range in the United States. The final salary offered to a successful candidate will be dependent on several factors that may include, but are not limited to, the type and length of experience within the job, the type and length of experience within the industry, education, etc. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and restricted stock units. CareDx is a multi-state employer, and this salary range may not reflect positions that work in other states. Remote: US only roles $62,000 - $77,500 USD

Senior Systems Engineer- Managed Services Company: Contour Data Solutions, LLC Role: Senior Systems Engineer- Managed Services Location: Remote / Hybrid (US‑based preferred) Department: Cloud & Infrastructure Engineering Reports To: Head of Engineering / Infrastructure/Cloud Salary Range: $80K-$120K Shift: 11AM-7:30PM EST Contour Data Solutions seeks a highly motivated Systems Engineer to make an immediate impact in a fast-paced, 24x7x365 environment. As part of the Managed Services Technology Team, you will design, build, and support the server, virtualization, storage, and backup infrastructure that runs proprietary and third-party applications across Windows and Linux. This is a systems-first role: deep, hands-on ownership of virtualization (VMware, with exposure to alternative hypervisors such as Hyper-V, Nutanix AHV, Proxmox, Xen, or KVM), backup and DR (Veeam and Zerto), and enterprise compute and SAN storage. Automation is central to the work - you will use scripting and infrastructure-as-code tooling to standardize builds, patching, and recovery. You will focus on performance tuning, hardening, design, implementation, and break/fix resolution, and provide both technical and business input into projects. A working knowledge of the surrounding network is expected, but the core of the job is systems engineering. Own the day-to-day operation, change control, and maintenance of the systems estate - servers, hypervisors, storage, and backup/DR - including patching, upgrades, builds, replacement, and troubleshooting. Serve as an escalation point and mentor to the Contour Operations Center, and manage the ticket queue to ensure all work is handled appropriately. • Design, build, and administer virtualization environments - primarily VMware vSphere/ESXi (clusters, vCenter, resource pools, HA/DRS, capacity planning), with exposure to alternative hypervisors such as Microsoft Hyper-V, Nutanix AHV, Proxmox VE, Xen, or KVM., • Own backup and disaster recovery using Veeam and Zerto, including replication, failover/failback testing, retention policies, and recovery validation., • Provision, patch, harden, and maintain Windows Server and Linux systems, including Active Directory, DNS/DHCP, and core platform services., • Manage SAN storage and SAN switching - provisioning, zoning, LUN/datastore management, performance, and capacity., • Build and maintain automation for provisioning, patching, configuration, and reporting using scripting and infrastructure-as-code tooling (e.g., PowerShell/PowerCLI, Bash, Python, Ansible/Terraform), reducing manual effort and standardizing repeatable tasks., • Develop runbooks and scheduled jobs to automate routine maintenance, health checks, and backup/DR validation., • Monitor system health and resource usage, tuning parameters to improve throughput, stability, and efficiency., • Create engineering designs that meet business and operational objectives, including business continuity and disaster recovery solutions., • Define standard designs, templates, and procedures for projects following existing architectures, and develop new patterns where required., • Provide subject matter expertise across the technology lifecycle - risk, refresh, migration, and retirement., • Estimate and plan domain activities to feed end-to-end project plans and advise leadership on architecture and infrastructure planning., • Evaluate and recommend tools with a cost-conscious approach, drawing on industry best practices and prior project executions., • Manage the ticket queue and lead resolution of complex systems issues across compute, virtualization, storage, and backup., • Lead or participate in medium-to-high complexity projects and on-call production support., • Proactively implement procedures to prevent and reduce the severity of outages., • Perform upgrades and installations alongside application teams and keep asset and time-tracking systems current., • Be available for 24/7 on-call on a rotating team schedule once onboarded., • MSP experience required., • Bachelor's degree in engineering, computer science, MIS, or a related field preferred; equivalent work experience accepted., • 5+ years in design, implementation, and support of enterprise systems infrastructure., • Strong hands-on expertise with VMware (vSphere/ESXi/vCenter) in production environments; experience with alternative hypervisors (Hyper-V, Nutanix AHV, Proxmox VE, Xen, or KVM) is a plus., • Strong experience with backup and disaster recovery platforms - Veeam and Zerto (or comparable replication/DR tooling)., • Solid Windows Server and Linux administration, including core services such as Active Directory, DNS, and DHCP., • Hands-on knowledge of server hardware (e.g., Dell), SAN switching, and SAN storage., • Proven automation experience - scripting with PowerShell/PowerCLI, Bash, or Python, and familiarity with configuration management or infrastructure-as-code tools such as Ansible or Terraform to standardize and scale operations., • Understanding of systems and network security best practices and hardening., • Working knowledge of routing and switching, firewalls, and VPNs sufficient to support and troubleshoot the systems environment., • Familiarity with Cisco, Palo Alto, or Fortinet, and common protocols (TCP/UDP, HTTP/HTTPS, NFS, SMB), is a plus but not the primary focus of the role.

Team Summary This team will serve as the product owner for the machine learning platform capabilities within PointClickCare, working closely with other engineering teams across the organization to identify, build and support traditional machine learning (ML) and hybrid ML/LLMsolutions. This centralized team with deep specialization will closely integrate with key horizontal partners to ensure delivery of safe, scalable, and high-impact AI products. Job Summary The Principal AI Machine Learning Platform Engineer will set the technical vision and strategy for the machine learning platform that powers ML and generative AI development across PointClickCare, partnering with Product and Engineering leadership to align that direction with product and business goals. As the technical authority for the ML platform, the Principal Engineer will define the reference architectures, standards, and roadmap for the pipelines, tooling, and infrastructure used for model training, deployment, serving, and monitoring, and will provide technical leadership and mentorship to raise the engineering bar for ML systems company-wide. Key Responsibilities • Partner with product and engineering leadership to translate business and product objectives into a multi-quarter technical strategy and roadmap for the ML platform., • Define the reference architectures and standards for scalable data and ML pipelines spanning model training, evaluation, deployment, and serving that engineering teams across the organization build upon., • Set the direction and best practices for MLOps across the company — including CI/CD for models, model registry, feature stores, and experiment tracking — and drive build-vs-buy decisions for core platform components., • Establish the practices and architecture for reliability, observability, and performance of ML systems in production, including monitoring, alerting, and automated remediation., • Establish the security architecture for the ML platform, including authentication, role-based access control, audit logging, and compliance monitoring, and ensure adoption across teams., • Define secure, cost-efficient integration and infrastructure patterns for connecting the platform with existing systems, APIs, and data sources at scale., • Provide technical leadership and mentorship across engineering teams, guiding senior engineers and influencing the org-wide technical roadmap for ML infrastructure. Qualifications & Skills • Expert level in Python and Java with strong software engineering fundamentals., • Deep experience designing and building ML platforms and ML Ops workflows at scale, familiarity with tools such as MLFlow, Kubeflow, Ray, and model-serving frameworks or equivalents., • Extensive experience with cloud platforms (AWS, Azure, and/or GCP), containerization, and orchestration (Docker, Kubernetes)., • Demonstrated track record of setting technical direction and driving org-wide technical initiatives across multiple teams. Preferred • Bachelor’s degree or higher in Computer Science, Machine Learning, or a related field., • Sufficient familiarity with Azure Machine Learning components, Databricks processing and serverless environments, and ML Frameworks to support strategic decision making, • Demonstrable history of leading and sustaining build out of critical cross-team systems, • Experience implementing security at scale including role-based access control, multi-factor authentication, network security best practices, and compliance monitoring., • Experience optimizing large model training and inference (including LLM serving) for performance and cost. #LI-AJ1 #LI-remote$195,000 - $217,000 a yearAt PointClickCare, base salary is one of the many components that make up our total rewards package. The US base salary range for this position is $195,000-$217 000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role. 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.

Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. A Bachelor's degree in computer science, information systems, engineering, business or other re

Bachelor's degree in Computer Science, Engineering, Information Systems, or related preferred, or equivalent work experience. Job Title: Senior Finance & Operations Systems Engineer. TalentFish is casting a line for a Senior Finance & Operations Systems Engineer for our premier global.

Experience with healthcare payer/Pharmacy Benefit Management (PBM) systems clearinghouses or pharmacy operations. Bachelors degree or higher in Computer Science Engineering or a related technical discipline; equivalent practical experience considered. Experience delivering reporting or analytics sol

A fully systematic global proprietary trading firm is seeking an experienced Quantitative Researcher to develop and enhance short-horizon trading strategies across liquid future/options markets. This is an opportunity to join a research-led environment where ideas are tested rigorously and deployed systematically at global scale. You will work closely with quantitative researchers, traders and engineers to identify market inefficiencies and translate research into production-ready strategies. Responsibilities • Research and develop systematic trading signals and strategies., • Analyse large, mid-high frequency market datasets to uncover repeatable sources of alpha., • Build robust backtesting frameworks and evaluate strategy performance., • Improve existing models through feature development, signal refinement and portfolio optimisation., • Collaborate with engineering and trading teams to deploy strategies into production., • Monitor live performance and adapt models as market conditions evolve. Requirements • Professional experience researching systematic strategies in US or European equity options or futures markets., • A track record focused on intraday or shorter time horizons., • Strong expertise in statistical modelling, quantitative research and data analysis., • Proficiency in Python and experience working with large financial datasets., • Sound understanding of market microstructure, transaction costs and execution dynamics., • Advanced degree in a quantitative discipline such as mathematics, statistics, computer science, physics or engineering., • Ideally, experience at another proprietary trading firm or a systematic hedge fund. The Opportunity • Join a highly systematic, technology-driven global trading business., • Conduct research with a clear route from idea generation to live deployment., • Work alongside experienced quantitative researchers and engineers., • Access high-quality data, sophisticated infrastructure and significant computational resources., • Operate in a performance-focused environment that rewards original thinking and measurable impact.

Our client, an innovative leader in healthcare technology, is seeking an experienced Lead Software Engineer who will lead a team of software developers in designing, implementing, and maintaining software applications. This role requires a blend of hands-on coding expertise and effective team leadership, overseeing the development process from conception to deployment in a high-volume SaaS environment. RESPONSIBILITIES • Lead and mentor a team of software engineers, providing technical direction and support to ensure successful project delivery., • Collaborate with product managers and stakeholders to define project requirements, estimate timelines, and prioritize tasks., • Write clean, efficient, and maintainable code, actively participating in the development and implementation of software solutions., • Contribute to the design and architecture of software systems, focusing on scalability, reliability, and performance., • Conduct thorough code reviews to maintain high standards of code quality, identify potential issues, and ensure adherence to best practices., • Create and maintain technical documentation, including system architecture diagrams, API specifications, and development guidelines. REQUIREMENTS & QUALIFICATIONS • Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s degree preferred)., • 4+ years as a software engineer, with a strong background in software development and architecture., • Expertise or proficiency in C# and modern web development technologies (e.g., JavaScript, React, Node.js)., • Experience with cloud platforms (AWS, Azure) and containerization technologies., • Experience with Agile development methodologies, CI/CD pipelines, and DevOps practices.

Position Overview The Senior Data Scientist, Advanced Analytics, develops machine learning models and advanced analytical solutions that optimize customer acquisition, retention, pricing, and marketing effectiveness. This role leverages predictive modeling, experimentation, and cloud-based machine learning technologies to solve complex business problems and deliver measurable business impact. Working closely with Marketing, Product, Finance, and Technology, the Senior Data Scientist transforms complex data into actionable insights that improve business performance in a highly competitive telecommunications environment. Key Responsibilities Advanced Analytics & Data Science • Develop and deploy scalable predictive and machine learning solutions that improve customer acquisition, retention, pricing strategies, and marketing performance., • Own the end-to-end machine learning lifecycle, including model design, feature engineering, development, validation, deployment, monitoring, optimization, and continuous improvement to deliver accurate, reliable, and production-ready solutions., • Apply advanced statistical techniques, machine learning, predictive analytics, and experimentation to solve complex business challenges, identify growth opportunities, and optimize business performance., • Develop machine learning solutions using BigQuery ML and Python libraries, including scikit-learn, XGBoost, LightGBM, and pandas., • Communicate analytical insights and actionable business recommendations through compelling visualizations, dashboards, and executive-level presentations., • Research, evaluate, and implement emerging AI and machine learning technologies to continuously enhance analytical capabilities and business outcomes. Data Engineering • Develop robust SQL transformations and scalable data pipelines in BigQuery., • Build reusable datasets, feature stores, and automated model training and scoring pipelines., • Implement model monitoring, performance tracking, and automated retraining processes to ensure long-term model accuracy and reliability., • Ensure data quality through validation, testing, monitoring, and governance best practices., • Partner with Data Engineering and IT to build and maintain scalable analytics infrastructure supporting production machine learning solutions. Business Impact • Improve customer acquisition and retention through predictive analytics., • Optimize pricing strategies through price elasticity modeling and customer response analytics., • Optimize marketing campaigns and sales channel performance using data-driven insights., • Increase operational efficiency through scalable automation and reusable analytical assets., • Deliver accurate, validated insights that influence strategic business decisions., • Build sustainable machine learning solutions that create long-term competitive advantage. Qualifications Required • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Analytics, Marketing Analytics, or a related quantitative field., • 7+ years of experience in data science, machine learning, or advanced analytics., • Strong programming skills in Python and SQL., • Experience with BigQuery, BigQuery ML, and cloud-based analytical environments., • Hands-on experience with machine learning libraries such as scikit-learn, XGBoost, LightGBM, and pandas., • Strong understanding of predictive modeling, statistical analysis, experimentation, feature engineering, model validation, and machine learning best practices., • Experience building machine learning models and automated analytical pipelines., • Excellent communication skills with the ability to translate complex analytical findings into business recommendations. Preferred • Masters degree in Data Science, Statistics, Computer Science, Analytics, or a related field., • Telecommunications industry experience., • Experience with Power BI or similar visualization platforms., • Experience with speech analytics platforms (NICE, Verint, CallMiner), natural language processing (NLP), and Generative AI/LLM applications.

SAP Platform Developer 📍 Location: Tampa, Florida, United States 🏢 Industry: IT System Custom Software Development 💼 Work Setting: Remote Are you passionate about building enterprise-grade cloud applications, designing scalable SAP extensions, and driving digital transformation through modern SAP technologies? We are seeking an experienced SAP BTP Developer to design, build, and operate innovative solutions on SAP Business Technology Platform (BTP), enabling seamless integration, clean-core extensibility, and cloud-native application development across enterprise landscapes. In this role, you will leverage SAP BTP services, cloud-native architectures, and modern development frameworks to deliver scalable business applications, integrations, analytics capabilities, and intelligent business solutions. You will collaborate with business stakeholders, architects, and development teams to create secure, high-quality solutions that maximize the value of SAP investments. Key Responsibilities SAP BTP Application Development • Design, develop, and maintain enterprise applications and extensions on SAP Business Technology Platform (BTP)., • Build cloud-native applications that support business process innovation and digital transformation initiatives., • Develop scalable and maintainable solutions following SAP development standards and best practices., • Support the full application lifecycle including design, development, testing, deployment, and operations. SAP Extension Development • Create clean-core extensions for SAP S/4HANA and related enterprise systems., • Design extension architectures that minimize core customization and support long-term system sustainability., • Develop reusable application components and services that enhance business functionality., • Ensure seamless integration between SAP and non-SAP landscapes. Integration & API Development • Design and implement integration scenarios connecting SAP systems, cloud platforms, and third-party applications., • Develop and consume APIs using OData v2/v4 and other modern integration technologies., • Build secure, scalable integration frameworks that enable real-time business processes., • Troubleshoot and optimize enterprise integration solutions. SAP CAP Development • Design and develop applications using SAP Cloud Application Programming Model (CAP)., • Build business services and APIs that support scalable cloud application architectures., • Implement domain models, service layers, and business logic following SAP cloud development standards., • Optimize CAP applications for performance, maintainability, and extensibility. SAP Fiori & User Experience Development • Develop intuitive user experiences using SAP Fiori and SAP UI5 technologies., • Create responsive applications that deliver modern and engaging user interfaces., • Collaborate with business users and stakeholders to improve usability and business adoption., • Implement UI best practices and accessibility standards. Cloud Platform Operations & DevOps • Support deployment, monitoring, maintenance, and optimization of SAP BTP applications., • Implement CI/CD pipelines and automated deployment processes., • Manage cloud application operations, performance monitoring, and troubleshooting activities., • Ensure application reliability, scalability, and operational excellence. Security & Identity Management • Implement secure authentication and authorization models using:, • SAP Identity Authentication Service (IAS), • SAP Identity Provisioning Service (IPS), • Ensure compliance with enterprise security policies and governance standards., • Design secure integrations and access management processes across platforms. Data, Analytics & Innovation • Leverage SAP BTP services to support analytics, reporting, and intelligent enterprise scenarios., • Collaborate on data-driven business solutions utilizing cloud-based services and advanced technologies., • Explore innovative BTP capabilities, AI services, and automation opportunities., • Support modernization initiatives through cloud-native architecture and platform services. Technical Leadership & Collaboration • Act as a subject matter expert for SAP BTP and cloud development initiatives., • Collaborate with architecture, business, integration, and development teams., • Provide technical guidance, mentorship, and best-practice recommendations., • Participate in architecture reviews, design discussions, and strategic technology initiatives. Required Qualifications • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field., • 12+ years of SAP application development experience., • Significant hands-on experience with SAP Business Technology Platform (BTP)., • Strong expertise in:, • SAP Cloud Application Programming Model (CAP), • SAP BTP Development, • SAP Fiori, • SAP UI5, • OData v2/v4, • Experience designing and building SAP S/4HANA extensions., • Strong integration architecture and API development experience., • Excellent problem-solving, communication, and stakeholder management skills. Key Technical Skills • SAP Business Technology Platform (SAP BTP), • SAP CAP (Cloud Application Programming Model), • SAP Fiori, • SAP UI5, • SAP S/4HANA, • OData v2/v4, • Java, • Node.js, • SAP IAS, • SAP IPS, • API Development, • Enterprise Integration, • Cloud-Native Development, • CI/CD Pipelines, • SAP Extension Development, • Identity & Access Management, • DevOps Practices, • Application Lifecycle Management Preferred Qualifications • Experience delivering enterprise-scale SAP transformation programs., • Knowledge of SAP integration patterns and clean-core architecture principles., • Experience working with SAP cloud services, analytics platforms, and intelligent technologies., • Familiarity with AI, automation, and advanced SAP BTP services., • Strong understanding of enterprise architecture and cloud governance frameworks., • Experience leading technical delivery teams and mentoring developers.

Summary The Key Technology Manager - Intent-Based Robotics and Physical AI is a strategic customer-facing technology role responsible for shaping how KUKA North America defines, positions, and commercializes the next generation of AI-enabled automation. The role connects customer needs, market direction, and competitive intelligence to help translate high-level operational intent into scalable robotic execution. This position works across Sales, Business Development, Product Management, integrator partners, and selected AI ecosystem partners to identify priority use cases, define practical requirements, build market-facing narratives, and support early customer adoption of intent-based robotics and physical AI solutions across North America. Essential Duties and Responsibilities including but not limited to: • Technology Strategy and Roadmap: Serve as the North American technology lead for intent-based robotics, physical AI, and agentic automation. Translate customer, integrator, and market requirements into actionable roadmap input for product and engineering teams., • Physical AI: Work closely with product management and global teams to define requirements for intent-to-action workflows, semantic task models, standardized action primitives, orchestration logic, simulation validation, telemetry, governance, and human oversight., • Customer and Use-Case Discovery: Identify and prioritize high-value applications where intent-based robotics can create measurable value, including AMRs, AMMRs, mobile manipulation, flexible logistics, high-mix manufacturing, mixed-SKU palletizing, kitting, machine tending, and brownfield automation environments., • Voice of Customer and Market Feedback: Capture structured feedback from customers, integrators, technology partners, and internal stakeholders. Convert field insights into clear product requirements, expected business outcomes, adoption barriers, and commercialization priorities., • Competitive and Technology Intelligence: Track the evolution of cognitive robotics, agentic AI, robotic foundation models, humanoids, autonomous task planning, orchestration platforms, simulation/digital twin workflows, and relevant robotics software ecosystems. Maintain a clear view of competitor positioning, capability gaps, and KUKA differentiation., • Commercialization and Go-to-Market Support: Help define how KUKA should package, explain, demonstrate, and sell intent-based robotics and physical AI solutions. Support sales plays, value propositions, pricing inputs, business cases, and customer-ready positioning., • Pre-Sales and Executive Customer Support: Assist Sales, Business Development Managers, AMR teams, and Application Engineers in developing credible customer presentations, demos, pilots, technical narratives, and executive-level discussions around physical AI, and intent-based automation., • Pilot and Early-Access Program Support: Help structure customer pilots and early-access engagements by defining use-case scope, operational success criteria, expected data inputs, validation needs, deployment assumptions, risk considerations, and expansion paths., • Partner and Ecosystem Development: Support collaboration with system integrators, AI/model providers, software partners, component suppliers, and startup/developer ecosystems that may accelerate adoption of intent-based robotic workflows., • Responsible Deployment and Governance: Partner with Product Management stakeholders to help ensure new AI-enabled automation concepts are positioned and deployed with appropriate validation, traceability, supportability, escalation paths, and human oversight., • Content Development and Sales Enablement: Create white papers, technical briefs, competitive summaries, product positioning, use-case playbooks, FAQs, demo scripts, and training materials that explain intent-based robotics and physical AI in practical terms for customers and internal teams., • Cross-Functional Alignment: Maintain regular communication with North America leadership, global product teams, AMR teams, portfolio management, and sales leadership to align priorities, communicate roadmap direction, and support execution., • Quality and Continuous Improvement: Adhere to applicable Quality Systems and support continuous improvement in how KUKA evaluates, commercializes, and scales emerging automation technologies. Key Qualifications: • Proven experience in robotics, automation, AMRs, industrial software, product strategy, technical sales, product management, or advanced technology commercialization., • Strong practical understanding of industrial automation environments, including robots, AMRs/AGVs, PLCs, vision systems, safety concepts, MES/WMS/ERP integration, factory data, and system integration workflows., • Working knowledge of AI-enabled robotics concepts such as task planning, agentic workflows, LLMs/VLMs, perception, semantic understanding, digital twins, simulation, telemetry, orchestration, and human-in-the-loop exception handling., • Ability to translate broad technology trends into specific customer use cases, product requirements, roadmap priorities, sales messages, and commercial opportunities., • Strong analytical capability to evaluate market trends, customer needs, competitor strategies, technology readiness, and business impact., • Excellent written and verbal communication skills, with the ability to explain complex topics clearly to technical, commercial, and executive audiences., • Demonstrated ability to work across global product teams, software teams, sales, engineering, partners, and customers without direct reporting authority., • Strong customer orientation and ability to identify practical adoption barriers, not just future-state technology potential., • 5 years of experience in robotics, automation, automation software, AMR, product management, advanced applications, or a related technology field. Experience with AI-enabled automation is strongly preferred. Education and/or Experience Bachelor’s degree from a four-year college or university in robotics, mechatronics, mechanical engineering, electrical engineering, computer science, industrial engineering, automation, or a related technical discipline. A master’s degree or equivalent advanced experience in robotics, AI, automation software, product management, or technology strategy is preferred. An equivalent combination of education and experience may be considered. KUKA is an Equal Opportunity Employer committed to building an inclusive and diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other factor protected by applicable federal, state or local laws.

The Senior Manager, Software Engineering leads the strategy, design, development, deployment, and support of enterprise automation solutions that improve operational efficiency, reduce manual effort, and enhance business outcomes across Adaptive. This role is responsible for building and leading a high-performing automation engineering team while establishing governance, standards, and best practices for automation development and operations. Duties & Responsibilities • Lead and develop a high-performing Business Process Automation engineering team., • Define and execute enterprise-wide automation strategy, roadmap, and standards., • Identify and prioritize automation opportunities that deliver measurable business value., • Lead end-to-end UiPath automation projects from discovery and design through deployment and support., • Partner with business and technology leaders to drive digital transformation and process improvement., • Establish governance, security, compliance, and development best practices., • Evaluate and integrate AI, Generative AI, OCR, Document Understanding, and Machine Learning into automation solutions., • Communicate project outcomes, risks, and ROI to senior leadership. Qualifications Required • Bachelor's degree in computer science, Information Systems, Engineering, Bioinformatics, or related field with 10+ years of experience in software engineering, automation engineering, enterprise applications, or related technical disciplines, including leadership experience, • Experience building and leading technical engineering teams, • Hands-on experience with enterprise automation platforms such as UiPath, Power Automate, Automation Anywhere, or similar technologies, • Experience delivering large-scale automation initiatives from strategy through production support, • Strong understanding of software development lifecycle (SDLC), automation architecture, governance, and operational best practices, • Experience with programming languages such as Python, C#, Java, or similar, • Experience integrating enterprise systems through APIs, web services, and modern integration frameworks, • Strong communication and stakeholder management skills with the ability to engage technical and non-technical audiences, • Experience operating within cross-functional environments and partnering with business leaders to drive change Preferred • UiPath certifications and experience managing enterprise UiPath environments, • Experience with intelligent automation, AI/ML technologies, OCR, and generative AI solutions, • Experience establishing or leading an Automation Center of Excellence (CoE), • Experience supporting highly regulated environments with strong security and compliance requirements, • Experience with cloud-based services, modern architecture patterns, and enterprise platforms

We believe in the power and joy of learning At Cengage Group, our employees have a direct impact in helping students around the world discover the power and joy of learning. We are bonded by our shared purpose – driving innovation that helps millions of learners improve their lives and achieve their dreams through education. Cengage Group’s portfolio of businesses supports student choice by providing a range of pathways that help learners achieve their goals and lead a choice-filled life. Our culture values inclusion, engagement, and discovery Our business is driven by our strong culture, and we know that creating an inclusive workplace is absolutely essential to the success of our company and our learners, as well as our individual well-being. We recognize the value of diverse perspectives in everything we do, and strive to ensure employees of all levels and backgrounds feel empowered to voice their ideas and bring their authentic selves to work. We achieve these priorities through programs, benefits, and initiatives that are integrated into the fabric of how we work every day. To learn more, please see https://www.cengagegroup.com/about/inclusion-and-belonging/. What you'll do here: As the Software Engineering Manager, you will lead a team dedicated to creating tools to deliver world-class content for our Cengage Learning Platforms (CLP). Working closely with internal partners, you will define and implement an innovative, AI-first roadmap ensuring content quality and accessibility remain a primary focus. Following the Product Operating Model (POM), you will collaborate with product and design teams in your role as technical lead. Together you will focus on improving customer outcomes through frequent stakeholder engagements and data-driven insights. • Lead, coach, and grow a high-performing engineering team focused on quality, accountability, and continuous improvement., • Reimagine and optimize content creation workflows using modern platforms, automation, and generative AI., • Engage in driving POM Discovery activities including continuous customer engagement, both internal and external, to derive solutions that meet end user, company, and technology goals., • Track quality and efficiency improvements through well instrumented SDLC tools and report progress to executive teams., • Balance technical debt and other maintenance activities alongside new feature development within each sprint., • Work with partners and customers to establish and handle product backlogs, product estimates and budgets., • Stay current on emerging technologies and industry trends to inject continuous innovation into our product roadmaps. Skills You Will Need Here: Education & Experience • Bachelor’s degree in Computer Science or a related field, or an equivalent combination of education and recent, relevant work experience., • 3+ years of technology leadership experience, including developing technology strategies, fostering innovation, and leading globally distributed teams. Generative AI & Emerging Technologies • Working knowledge of AI concepts, including machine learning, LLMs, multimodal models, prompt engineering, AI agents, RAG, and vector databases., • Hands-on experience integrating or experimenting with commercial and open-source GenAI technologies and toolkits (e.g., coding assistants, OpenAI, Hugging Face, LangChain). Architecture & Cloud Platforms • Experience in modernizing legacy or monolithic architectures, migrating systems to modular, cloud-native platforms, and implementing hybrid cloud strategies., • Ability to design and develop APIs that integrate legacy systems with modern solutions., • Comfortable designing and deploying solutions on AWS, GCP, or Azure, including containers, serverless, and cloud storage/compute services. Software Engineering & Product Delivery • Proven ability to build secure, resilient, scalable, high-availability enterprise systems for global user bases., • Strong experience with agile delivery (Scrum, Kanban, SAFe) and tooling such as Jira or Azure DevOps, • Demonstrated success organizing teams and delivery around a Product Operating Model Collaboration & Communication • Strong cross-functional collaboration skills in distributed, remote-first environments., • Ability to clearly communicate complex technical concepts to both technical and non-technical audiences, including executives. Cengage Group is committed to working with broad talent pools to attract and hire strong and most qualified individuals. Our job applicants are considered regardless of any classification protected by applicable federal, state, provincial or local laws. Cengage is also committed to providing reasonable accommodations for qualified individuals with disabilities including during our job application process. If you are an applicant with a disability and require reasonable accommodation in our job application process, please contact us at . About Cengage Group Cengage Group, a global education technology company serving millions of learners, provides affordable, quality digital products and services that equip students with the skills and competencies needed to be job ready. For more than 100 years, we have enabled the power and joy of learning with trusted, engaging content, and now, integrated digital platforms. We serve the higher education, workforce skills, secondary education, English language teaching and research markets worldwide. Through our scalable technology, including MindTap and Cengage Unlimited, we support all learners who seek to improve their lives and achieve their dreams through education. Compensation At Cengage Group, we take great pride in our commitment to providing a comprehensive and rewarding Total Rewards package designed to support and empower our employees. Click here to learn more about our Total Rewards Philosophy. The full base pay range has been provided for this position. Individual base pay will vary based on work schedule, qualifications, experience, internal equity, and geographic location. Sales roles often incorporate a significant incentive compensation program beyond this base pay range. In this position, you will be eligible to participate in the company’s discretionary incentive bonus program. This position's bonus target amount, which is not guaranteed and is dependent on individual performance and overall company results among other factors, is provided below. 10% Annual: Individual Target 101,900.00 - 132,450.00 - 163,000.00 USD Annual

Job Title: Senior Appian Developer (Lead also available depending on experience) Position Type: 12+ month contract (option to convert full-time for local or Clearance: Must be able to obtain a secret clearance Pay: $60-$90 an hour Years of Experience Required: 5+ Hiring Timeline: Immediate The name of our partner organization will be disclosed during the interview process. This is not a direct role with LaunchCode; it is a position through LaunchCode, working with one of our partner companies. Disclaimer: We are unable to provide work sponsorship for this role. We are unable to consider candidates for this role who have a current or future work sponsorship need (this includes those holding extended OPT Visas). Position Overview LaunchCode is seeking multiple experienced Appian professionals to support mission-critical initiatives within the Defense Community. This role involves designing and delivering secure, enterprise-scale workflow and automation solutions that support complex operational environments. The Senior Appian Developer will lead projects through the full software development life cycle—defining requirements, designing architecture, developing features, and implementing custom applications. Responsibilities include working within an agile environment to analyze business processes and technical needs, launching relational data models in production, developing APIs to integrate with external systems, and mentoring junior consultants throughout fast-paced implementations. Successful candidates will be self-driven technologists capable of operating independently within highly secure environments while collaborating with cross-functional teams to build scalable, resilient solutions aligned with mission objectives. Ideally, this position will mentor a small team and be comfortable interfacing with external company partners. Key Responsibilities • Design, develop, and maintain secure applications using the Appian low-code platform., • Architect scalable workflows and business process automation solutions aligned with enterprise architecture standards., • Configure and customize Appian components including process models, interfaces, integrations, and data structures., • Integrate Appian applications with enterprise services and systems such as:, • Active Directory and identity management solutions, • Classification and records management systems, • Security, monitoring, and logging frameworks, • Ensure compliance with security policies, governance standards, and accreditation requirements within classified environments., • Support full application lifecycle activities including requirements analysis, development, testing, deployment, and ongoing enhancements., • Troubleshoot performance issues and optimize application scalability and reliability., • Collaborate with mission stakeholders, enterprise architects, and development teams to deliver high-quality solutions., • Document system designs, processes, and operational procedures as required., • Passion for mentoring/developing others and experience leading small teams through post through post-sale software implementation, • Ability to work with clients to define business processes and gather functional and technical system requirements, • Excellent communication skills, passion for technology and continuous learning, and affinity for asking “why” and solving the right problems, • History of success on cross-functional teams; experience building products using agile methodologies (pair programming, stand-ups, planning sessions, and sprints), • Basic understanding of object oriented programming, experience working with relational databases and database design/data modeling, and SQL skills (writing queries, joins, views, etc), • Knowledge of software testing practices (test-driven development, automated test suites within a continuous integration framework); integrations experience using APIs such as REST and SOAP, JDBC connections, and web services; familiarity with Amazon Web Services (AWS), Artificial Intelligence (AI), Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic Containers (preferred) Basic Qualifications • Ability and interest to obtain a secret-level security clearance with the ability and willingness to perform work within cleared facilities (SCIF work is required), • 5-7+ years of experience with hands-on software development or technical consulting with a strong appian experience, • B.S./B.A. in Engineering, Computer Science, Information Systems, Mathematics or related field/degree, • Willingness to travel; 10% or less annually to support customer engagement #LI-ONSITE #LI-HYBRID #LI-REMOTE

At Orange Logic, we've been solving complex content challenges for over two decades driven by innovation, curiosity, and a passion for impact, our intelligent Digital Asset Management (DAM) system, Orange Logic Platform, empowers organizations across industries to manage, access, and leverage their digital assets more effectively. We're not just building powerful software we're building a team of bold thinkers, collaborators, and problem-solvers who care deeply about delivering real value. Orange Logic is building a team of Applied AI Product Engineer: deeply technical, relentlessly curious builders who love turning ambitious ideas into working systems. You will use code, large language models and AI development tools to accomplish things that previously required large teams, long timelines or entirely new technology. Your Role at Orange Logic: • Take on technical problems that appear too difficult, expensive or time-consuming and build a working proof that changes what the team believes is possible, • Create end-to-end products, prototypes and internal systems, often starting with a rough idea instead of a detailed specification, • Use large language models and coding agents such as OpenAI Codex, ChatGPT, Claude Code, Cursor or comparable tools as a primary part of your development workflow, • Write and review the code needed to move from concept to a usable application, including frontend experiences, backend services, data, integrations and deployment, • Combine models, APIs, databases, open-source software and existing services in creative ways to unlock entirely new capabilities, • Build LLM-powered systems using techniques such as structured generation, tool use, retrieval, agents, model routing, evaluation and human review, • Explore AI-powered website assembly, content orchestration, metadata, search, automation and agentic workflows for complex enterprise media libraries. Put prototypes in front of users and stakeholders quickly, observe what works and revise based on evidence rather than extended debate, • Know when to optimize for speed and when security, permissions, reliability, cost or maintainability require deeper engineering, • Explain what you built, why it works, where it could fail and what would be required to move it into production Ideal Qualifications: • Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience building and shipping software systems., • You genuinely enjoy building. Side projects, experiments and unfinished ideas are part of how you learn, not something you do only when assigned, • A portfolio of working products, prototypes, repositories, open-source contributions or hackathon builds that demonstrates unusual execution speed and technical depth, • Strong full-stack engineering fundamentals and the ability to personally build across frontend, backend, data and deployment layers, • Hands-on experience creating applications with commercial or open-source LLMs, including model APIs, context design, tool calling or agentic workflows, • The ability to use AI-generated code aggressively while independently reviewing architecture, debugging failures and recognizing security or quality risks, • High ownership and resourcefulness. When requirements are incomplete or technology is new, you start testing possible paths instead of waiting for certainty, • Strong product instinct and the ability to distinguish a clever demo from a system that could solve a meaningful customer or business problem, • Clear communication, low ego and comfort working directly with product, engineering and business leaders, • Preferred: Building AI-native SaaS products, developer tools, website builders, content systems, automations or workflow platforms Preferred Qualifications: • Experience with retrieval-augmented generation, vector search, model evaluation, observability, multimodal models, MCP or multi-agent systems, • Experience with digital asset management, content management, metadata, taxonomy, search relevance or enterprise media workflows, • Founder, early-stage startup, hackathon or open-source experience where you personally shipped across multiple parts of the stack, • Evidence that you have taken a prototype beyond the happy path by addressing reliability, permissions, security, performance or cost Perks of joining the team: • Competitive compensation, • Medical, Dental, & Vision Insurance, • Life & Disability Insurance, • 401(k) & Roth with 4% employer match (fully vested), • 20 Days PTO, • 8 Weeks Parental Leave, • 8 Company Holidays, • Remote Work Environment Compensation: The target compensation for this position is $120,000 - $225,000 in most remote locations. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. How to get started: If you're excited by meaningful challenges and want to build something that matters, we encourage you to apply! Application Updates: Our opportunities attract a high volume of qualified applicants, making the selection process highly competitive. While we’re unable to provide individual status updates to every applicant, only candidates selected to move forward will be contacted. Anyone who interviews with our team will receive a direct update regarding their status. Note: Orange Logic only communicates with candidates through official @orangelogic.com email addresses or via LinkedIn from a verified Orange Logic Talent Acquisition employee listed under “Meet the Hiring Team.” We do not conduct interviews via text message or request payment for equipment purchases at any stage of the hiring process. By submitting this application, I certify that all information provided herein is true, accurate, and complete to the best of my knowledge. I understand that any false or misleading information may result in disqualification from consideration or, if discovered after acceptance, may lead to immediate dismissal. Orange Logic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all our employees. We respect your privacy. Learn more about how we handle applicant data in our Global Career Privacy Notice.

Job Description Senior Software Engineer / Technical Lead Business Intelligence Solutions (BiS) Position Summary Business Intelligence Solutions (BiS) is seeking an experienced Senior Software Engineer / Technical Lead who is passionate about building world-class industrial software while leading and mentoring a high-performing engineering team. This is more than a software development role; it is a technical leadership position responsible for driving innovation, software architecture, product quality, project execution, and engineering excellence. The ideal candidate enjoys solving complex manufacturing challenges, creating scalable software platforms, and helping engineers grow professionally. You will work directly with company leadership to shape the future of our BiS platform and custom manufacturing solutions built on Ignition, while ensuring projects are delivered on time, within budget, and at the highest quality. Simple.Robust.Scalable.REAL RESULTS. About Business Intelligence Solutions Business Intelligence Solutions (BiS) helps manufacturers transform operations through innovative software solutions that improve productivity, quality, visibility, and profitability. Our mission is simple: Simplify Manufacturing Intelligence. We develop modern industrial software that connects machines, people, ERP, MES, quality systems, and enterprise data into meaningful information that drives better decisions. As we grow, we are building a company known for technical excellence, innovation, customer success, and industry leadership. Primary Responsibilities Technical Leadership • Lead the software engineering team through technical direction and mentorship., • Establish engineering standards, best practices, and coding guidelines., • Perform architecture reviews and design reviews., • Guide technical decision-making across multiple customer projects., • Promote software reliability, simplicity, maintainability, and scalability., • Mentor junior and mid-level developers through coaching and code reviews., • Foster a culture of accountability, ownership, and continuous improvement. Software Architecture & Design • Design scalable software architectures for industrial applications., • Develop reusable software frameworks and product components., • Lead development of the BiSx software platform., • Standardize software modules for rapid deployment., • Ensure software follows modern object-oriented and modular design principles., • Drive consistency across customer implementations. Innovation • Identify emerging technologies that create customer value., • Lead product innovation initiatives., • Research and evaluate AI, machine learning, IIoT, MQTT, Unified Namespace, cloud technologies, and modern manufacturing software trends., • Translate customer needs into new software capabilities., • Help define the future direction of BiS products. Project Leadership • Lead technical execution of multiple customer projects., • Break large projects into manageable deliverables., • Estimate engineering effort and schedules., • Coordinate engineering resources across multiple priorities., • Work closely with project managers and customers., • Identify project risks before they become problems., • Ensure projects are delivered on schedule and within budget. Software Development • Design, develop, and maintain industrial software applications., • Write clean, efficient, and maintainable code., • Participate in architecture discussions and peer reviews., • Troubleshoot complex software issues., • Improve software performance and reliability., • Build reusable software libraries. Quality & Process Improvement • Improve engineering workflows., • Establish testing procedures., • Promote automated testing where practical., • Improve documentation standards., • Develop repeatable engineering processes., • Reduce technical debt., • Increase software quality and consistency. Customer Engagement • Participate in customer discovery meetings., • Translate operational requirements into software solutions., • Present technical concepts to customers., • Assist with solution architecture., • Support major customer implementations. Leadership Expectations This role is expected to: • Lead by example., • Inspire innovation., • Build trust within the engineering team., • Develop future technical leaders., • Encourage creative problem solving., • Hold high standards while supporting team growth., • Make difficult technical decisions when necessary., • Create a positive engineering culture focused on excellence. Required Qualifications • Bachelor's degree in computer science, Software Engineering, Computer Engineering, or related field (or equivalent experience)., • 8+ years of professional software development experience., • 3+ years leading engineering teams or serving as technical lead., • Strong software architecture experience., • Experience designing enterprise software platforms., • Excellent communication skills., • Strong organizational and project management abilities., • Proven leadership experience., • Ability to manage multiple projects simultaneously. Preferred Technical Experience Experience with many of the following: • Ignition by Inductive Automation, • SQL Server, • Python, • OpenAI / Codex / Agentic AI tools, • C#, • .NET, • PostgreSQL, • Java, • REST APIs, • OPC UA, • MQTT, • Industrial automation systems, • PLC communications, • MES systems, • ERP integrations, • Git source control, • CI/CD practices, • Docker or containerized applications, • Cloud platforms (Azure or AWS), • Reporting and analytics platforms, such as PowerBI Preferred Industry Experience Experience working within manufacturing environments including: • Industrial automation, • Manufacturing execution systems (MES), • SCADA systems, • OEE, • Quality systems, • Process monitoring, • Production reporting, • Data historians, • Digital transformation initiatives Key Competencies The successful candidate demonstrates: • Visionary thinking, • Strong technical judgment, • Innovation, • Leadership, • Integrity, • Accountability, • Strategic thinking, • Customer focus, • Continuous learning, • Excellent communication, • Team development, • Problem solving, • Decision making, • Attention to detail, • Ownership mindset Success Metrics Success in this role will be measured by: • Successful delivery of customer projects, • Engineering team performance and growth, • Software quality and reliability, • Reduction in technical debt, • On-time project completion, • Customer satisfaction, • Product innovation, • Reusable software created, • Engineering process improvements, • Contribution to BiSx(continual improvement) product development What We Offer At BiS, you won't simply write and implement software; you will help shape the future of manufacturing technology. You'll have the opportunity to: • Lead next-generation industrial software development., • Build innovative manufacturing solutions used by leading manufacturers., • Influence company strategy and product direction., • Work directly with executive leadership., • Mentor talented engineers., • Develop industry-leading products., • Make a measurable impact on the growth of a rapidly expanding technology company. Our Core Values At Business Intelligence Solutions, we believe in: • Innovation — Challenge conventional thinking and continuously improve., • Simplicity — Create elegant solutions to complex manufacturing problems., • Ownership — Take responsibility and deliver results., • Integrity — Always do the right thing., • Customer Success — Our success is measured by our customers' success., • Teamwork — Great products are built by great teams., • Continuous Improvement — Never stop learning or improving., • Faith - At the core of what we are and why we get to do what we do. If you are passionate about technology, leadership, manufacturing innovation, and building software that makes a real difference, we invite you to join Business Intelligence Solutions and help define the future of industrial intelligence.

Senior Staff Software Engineer Headquarters Rolling Meadows, IL or Remote COMPANY BACKGROUND Epiq Solutions develops cutting-edge software-defined radio (SDR) products and processing solutions to enable spectrum dominance for maritime, land, air, and space domains. With 15 years serving government and commercial enterprise customers and 25K+ devices fielded to date, Epiq Solutions is a trusted partner with a proven heritage of delivering open architecture products in radically small form factors where time-to-market, cost, and performance are critical for mission success. For more information, visit https://epiqsolutions.com. JOB SUMMARY We are seeking a Senior Staff Embedded Software Engineer to join our team and contribute to the integration and development of embedded C/C++ drivers, libraries, and components into our SDR platforms. In addition, you will implement and maintain APIs using various standards (MORA, CMOSS, etc.) to enable end-user configuration, control, and status monitoring of the radios. Applicants should be comfortable with the full SW design and implementation flow including contributing to automated testing and CI/CD workflows. This position involves close collaboration with a cross functional engineering team to deliver value to the end customer. • Collaborate with cross-functional teams to design and implement new radio features and add support for new radio products· Decompose high-level goals/requirements into the detailed software components and interfaces needed to achieve the desired result., • Deliver reliable and accurate estimates for development efforts., • Promote and implement best practices in software design, development, testing, and documentation., • Drive continuous improvement initiatives across the development lifecycle., • Develop applications on embedded Linux systems, using tools such as GCC, GDB, make/Cmake, docker, Jenkins, and rpm/deb packaging., • Expand automated test coverage of codebase using Pytest with signal in the loop control of external test equipment including USB/ethernet-enabled RF switches, attenuators, signal generators, and vector signal analyzers., • Support technical investigations and address technical questions., • Conduct code reviews and mentor junior engineers to promote best practices., • Document technical specifications, design patterns, and development processes. REQUIRED SKILLS • Bachelor's degree in Engineering, Computer Science, or equivalent experience in software development., • Minimum of 5 years of experience in software development specializing in ARM-based Linux embedded sensors and systems or other hardware-intensive platforms., • Proficiency in C/C++ library and application development., • Experience with Python for scripting, tooling, and test automation., • Familiarity with build systems and CI/CD workflows (Docker, Bitbucket, Jenkins, etc.)., • Hands-on experience working with memory-mapped I/O and hardware register interfaces., • Knowledge of Linux-based embedded systems, preferably Debian., • Strong communication skills—both written and verbal., • Self motivated with exceptional analytical and problem-solving capabilities., • Willingness to mentor junior engineers., • Ability to collaborate effectively with a cross functional team of engineers., • Eligibility to work on Federal contracts which require US Citizenship PREFERRED QUALIFICATIONS • Strong proficiency in modern C++, including practical experience with C++20., • Experience designing and maintaining clean C++ APIs, hardware abstraction layers, device interfaces, and reusable software libraries., • Familiarity with FPGA-based systems and the software interfaces used to configure, control, and validate FPGA functionality., • Experience with AMD Versal MPSoC or similar platforms., • Experience working with Git-based source control, containerized development environments, issue tracking, and collaborative development workflows., • Proficiency in Python for hardware control, automation, data analysis, test development, and engineering utilities., • Experience with hardware/software integration, including bringing up new functionality, isolating issues between software, FPGA, firmware, and hardware, and developing diagnostic tests., • Ability to clearly document interfaces, test procedures, design decisions, and troubleshooting findings for software, FPGA, and hardware engineering teams., • Exposure to software-defined radio (SDR) systems., • Familiarity with high-performance embedded designs., • Understanding of secure API practices and network protocols., • Familiarity with SOSA standards including VITA49/MORA BENEFITS • Join a successful and growing company investing in our future success, • Flexible work hours, • Generous vacation policy, • Paid five-week sabbatical every five years, • 401(k) matching, • Health, dental, vision insurance, • Life, short and long-term disability insurance, • Employee assistance program, • Wellness reimbursement, • Charitable Giving Company Match, • Competitive salary commensurate with experience and performance, • Fun, laid-back culture and rewarding work! Epiq Solutions is an Equal Employment Opportunity Employer - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Location: Remote, USA Employment Type: Full-Time | Exempt About the Role FinThrive is building the future of healthcare revenue cycle management through advanced AI capabilities. As Lead AI Architect, you will define and evolve the enterprise architecture for FinThrive's AI ecosystem—enabling Large Language Models (LLMs), Agentic AI, and advanced automation to transform how we deliver value. This is a strategic, high-impact role. You’ll partner with business, product, architecture, and engineering leaders to set a scalable AI vision, shape technology decisions, and guide the organization in responsible, secure, and innovative AI adoption. What You Will Do • Define and maintain AI architecture standards, reference models, and technology roadmaps., • Architect and integrate Agentic AI systems, Generative AI, Document Intelligence, and retrieval-augmented generation (RAG) into FinThrive products and platforms., • Lead fine-tuning and customization of AI models using advanced techniques:, • Supervised Fine-Tuning (SFT), • Parameter-Efficient Fine-Tuning (PEFT), • Low-Rank Adaptation (LoRA), • Continued Pretraining for domain-specific adaptation, • Establish best practices for prompt engineering, model evaluation, observability, and AI governance., • Provide architectural leadership for MLOps, Responsible AI, and compliance within a regulated healthcare environment., • Mentor technical leaders in AI design patterns, orchestration frameworks (e.g., LangChain, Semantic Kernel), and vector database solutions., • Collaborate on build vs. buy decisions, cloud platform optimization, and scalable deployments using Azure AI, Azure OpenAI, AWS Bedrock, or equivalent platforms. What You Bring • 15+ years in software engineering, enterprise architecture, or AI platform leadership roles., • 8+ years designing AI-driven solutions for enterprise-scale applications., • Proven hands-on expertise in model fine-tuning (SFT, LoRA, PEFT) and domain-specific LLM adaptation., • Strong command of:, • Generative AI, Agentic AI, RAG, Document Intelligence, • AI/ML frameworks and orchestration tools (LangChain, Semantic Kernel), • Cloud AI platforms: Azure AI/OpenAI, AWS Bedrock, Databricks, • Knowledge of MLOps, AI observability, and governance practices., • Excellent stakeholder engagement and communication skills for influencing enterprise technology strategy. Preferred Qualifications • Master’s degree in Computer Science, AI, Data Science, or related field., • Experience in regulated industries (Healthcare, Financial Services, Insurance)., • Contributions to open-source AI projects, patents, publications, or thought leadership in the AI space. Skills Enterprise Architecture | AI Architecture | Generative AI | Agentic AI | Retrieval-Augmented Generation (RAG) | Document Intelligence | Model Fine-Tuning (SFT, LoRA, PEFT) | Azure AI | AWS Bedrock | Vector Databases | Prompt Engineering | MLOps | Responsible AI | AI Governance

Unissant, Inc. delivers innovative capabilities to the agencies that keep our nation healthy and safe. We apply our domain expertise, data acumen, and technology know-how to achieve breakthrough results for our clients. Working collaboratively, we advance missions and careers through a focus on honesty, integrity, and dependability. We continuously look for talent excited to join that effort. To learn more about our exciting organization, please visit us at www.unissant.com. We are seeking a Principal Engineering Lead to join our team and support our government client on a large, multi-year IT services program. The Principal Engineering Lead is accountable for engineering operations and standards; continuous integration, continuous delivery, and release governance; service-level objective and service-level indicator frameworks; operational readiness criteria; DevSecOps practices; and reliability across the delivery model. This role will work closely with government technical stakeholders, program leadership, architects, product leaders, data leaders, cybersecurity teams, cloud teams, engineering teams, and operations personnel to ensure solutions are engineered, delivered, released, and operated securely, reliably, and in alignment with mission needs. The ideal candidate is a strategic, hands-on engineering leader with demonstrated experience serving in a Principal Engineer, Engineering Director, Chief Engineer, or comparable senior engineering leadership role on a large federal IT services program. They bring deep technical expertise in software engineering, cloud-native development, DevSecOps, CI/CD, automated testing, release management, observability, reliability engineering, and engineering governance. Essential Duties and Responsibilities • Lead the program's engineering operating model, engineering standards, development practices, technical quality controls, and continuous-improvement initiatives across delivery teams and work streams., • Establish, document, communicate, and govern engineering standards and practices for software development, cloud-native services, APIs, integrations, infrastructure as code, automated testing, code quality, security, deployment, monitoring, logging, and operational support., • Lead continuous integration, continuous delivery, and release governance processes to ensure releases are planned, tested, approved, deployed, monitored, and supported in a controlled, repeatable, and secure manner., • Define and maintain CI/CD pipeline standards, deployment controls, branching and versioning practices, artifact management, environment management, automated security testing, and release-readiness requirements., • Establish and operate a service-level objective (SLO) and service-level indicator (SLI) framework that supports measurable reliability, availability, performance, quality, and user experience outcomes., • Partner with product, architecture, cloud, cybersecurity, data, and operations leaders to define appropriate reliability targets, error budgets, monitoring thresholds, alerting practices, incident response expectations, and service-performance reporting., • Define and enforce operational readiness criteria for new services, enhancements, platform changes, and releases, including security, documentation, monitoring, logging, alerting, support procedures, backup and recovery, capacity, performance, accessibility, and transition considerations., • Promote and implement DevSecOps practices that integrate security, quality, compliance, automation, and operational concerns throughout the software delivery life cycle., • Provide technical leadership and escalation support for complex engineering, deployment, performance, reliability, integration, release, and operational issues., • Coordinate investigation and resolution of significant production incidents, recurring defects, reliability risks, technical debt, engineering bottlenecks, and cross-team technical dependencies., • Partner with architects and technical leads to ensure engineering implementation aligns with the approved reference architecture, technical standards, interoperability patterns, security requirements, and target-state roadmaps., • Assess engineering maturity, delivery performance, code quality, test automation, deployment frequency, lead time, change-failure rate, mean time to restore, reliability trends, and other engineering health indicators., • Develop and maintain engineering governance artifacts, including engineering standards, playbooks, CI/CD patterns, release checklists, operational-readiness checklists, service catalogs, SLO/SLI definitions, reliability dashboards, incident reviews, and technical roadmaps., • Ensure engineering practices and documentation support client oversight, audit requirements, security and compliance obligations, program transition, institutional knowledge retention, and reuse., • Mentor and guide engineering leads, software engineers, DevOps engineers, site reliability engineers, quality engineers, and other technical personnel., • Evaluate emerging engineering tools, platform capabilities, automation approaches, and technical practices to improve delivery speed, software quality, security posture, reliability, developer experience, cost efficiency, and program sustainability., • Communicate engineering performance, release readiness, reliability trends, technical risks, incident findings, remediation plans, and recommendations clearly to government and program leadership., • Perform other duties as assigned in support of program priorities and client needs. Work Experience and Job Skills • Demonstrated experience serving as a Principal Engineering Lead, Chief Engineer, Engineering Director, Engineering Manager, Principal Software Engineer, DevSecOps Lead, or comparable senior engineering leadership role on a federal IT services program supporting 80 or more FTEs., • Deep expertise in modern software engineering practices, including cloud-native development, microservices or service-oriented architecture, API development, distributed systems, integration, automated testing, secure coding, and performance engineering., • Demonstrated experience establishing and operating engineering standards, engineering governance, quality practices, technical review processes, and delivery controls across multiple teams, work streams, vendors, or stakeholder organizations., • Experience designing, implementing, and governing CI/CD pipelines, infrastructure as code, automated testing, code scanning, security automation, deployment controls, artifact repositories, and release-management practices., • Experience leading release governance and operational-readiness processes for enterprise applications, platforms, data services, cloud environments, or integrated systems., • Experience defining and managing SLOs, SLIs, error budgets, service monitoring, logging, alerting, incident response, reliability reviews, and service-performance reporting., • Strong understanding of DevSecOps, agile delivery, cloud platforms, containerization, orchestration, infrastructure automation, observability, site reliability engineering, cybersecurity, and operational support practices., • Experience with source control, CI/CD, infrastructure automation, testing, monitoring, and work-management tools such as GitHub, GitLab, Bitbucket, Jenkins, GitHub Actions, GitLab CI, Azure DevOps, AWS DevOps tools, Terraform, Ansible, Kubernetes, Docker, SonarQube, Splunk, Datadog, Dynatrace, Jira, or comparable technologies., • Experience partnering with cloud, cybersecurity, data, analytics, AI/ML, product, architecture, and operations teams in a complex enterprise environment., • Strong analytical, problem-solving, technical leadership, incident-management, conflict-resolution, and stakeholder-management skills., • Ability to work independently in a remote environment while effectively coordinating technical decisions and activities across distributed teams., • Prior experience supporting government client programs in a comparable mission or technical domain is preferred., • Experience supporting federal modernization, cloud migration, enterprise data, digital services, cybersecurity, systems integration, or large-scale technology transformation programs is preferred., • Experience supporting AI/ML platform engineering, model deployment, MLOps, data pipelines, or AI-enabled services is preferred., • Experience with AWS, Microsoft Azure, Google Cloud Platform, or multiple major cloud service providers is preferred. Education • Bachelor's Degree is required., • Preferred fields of study include Computer Science, Information Technology, Information Systems, Software Engineering, Engineering, Cybersecurity, or a related technical field., • MBA or Master's Degree in a relevant field of study is preferred. Certificates, Licenses and Registrations • Relevant engineering, cloud, DevSecOps, security, and Agile certifications are preferred. Communication Skills • Excellent verbal and written communication skills., • Ability to present engineering standards, release-readiness decisions, reliability data, technical risks, incident findings, remediation plans, and performance information to stakeholders at all levels of the organization., • Ability to communicate complex engineering, DevSecOps, and operational concepts clearly to executive leadership, government clients, program management, delivery teams, and non-technical stakeholders., • Ability to write clear, concise, and well-organized engineering documentation, technical standards, playbooks, release records, incident reports, dashboards, and related content in a highly confidential manner. Clearance Requirements • US citizenship or eligibility to obtain a government PIV credential is required., • Ability to successfully complete a federal background investigation and receive a federal suitability determination is required., • Ability to obtain and maintain required client access credentials and any applicable clearance is required., • Ability to satisfy E-Verify employment eligibility verification requirements is required. Travel • This position is primarily remote., • The client may direct or approve occasional in-person participation for planning, transition, training, meetings, workshops, or other program events., • All reimbursable travel outside the local commuting area requires advance approval. Environmental Requirements • Mainly a routine office environment., • May be required to lift up to ten (10) pounds., • Must be flexible in working extended hours when required to support program priorities, critical delivery milestones, and client needs. The above statements are intended to describe the general nature and level of work being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. Unissant management reserves the right to modify, add, or remove duties and to assign other duties as necessary. In addition, where applicable and available, reasonable accommodation(s) may be made to enable individuals with disabilities to perform essential functions of this position. Please note: Candidate(s) will be required to go through pre-employment screening. Unissant, Inc. is a proud Equal Opportunity Employer! (EOE; M/F/Disability/Vets)

THIS ROLE IS IN A MANUFACTURING Capacity Conveyor Belting Application Engineer Reports to: Engineering Manager Travel: Up to 40% Work Authorization: Candidates must be legally authorized to work in the United States on a permanent basis. Unfortunately, visa sponsorship, visa transfers, and employment-based immigration support are not available for this position now or in the future. Role Summary The Industrial Engineer (Conveyor Belts) serves as a technical and application resource supporting the full Conveyor Belting business across the Americas. This role works closely with Sales, customers, Product Management, Segment Specialists, and the Engineering Manager to provide application support, product recommendations, troubleshooting, conveyor design support, and technical guidance. The position is customer-facing and field-oriented, supporting both day-to-day technical requests and strategic growth opportunities, including customer site visits, conveyor surveys, retrofits, competitive conversions, trials, troubleshooting, and technical training. Key Responsibilities • Provide technical and application support across the Conveyor Belting portfolio for Sales, Customer Service, distributors, OEMs, and end users., • Partner with customers, Sales, and Engineering to assess equipment needs, including new conveyor layouts and retrofits of existing systems., • Recommend conveyor belting solutions based on application requirements, operating conditions, customer needs, and opportunities to improve performance or reduce operating costs., • Use technical expertise to demonstrate how recommended solutions meet customer requirements and differentiate from competing products., • Support strategic customer projects and competitive conversions through technical review, product recommendations, application validation, and field support., • Participate in customer site visits, conveyor surveys, product trials, installations, and on-site troubleshooting of installed equipment., • Serve as a technical resource for customer inquiries and application requests, providing timely follow-up and clear recommendations., • Troubleshoot conveyor and belt performance issues, considering product selection, conveyor design, installation, operating conditions, and maintenance., • Develop or modify product specifications, drawings, and technical recommendations as needed to meet customer application requirements., • Prepare and deliver technical presentations and product/application training for Sales, Customer Service, distributors, customers, and prospects., • Identify opportunities to recommend improved materials, products, or conveyor solutions that can increase performance, reduce cost, or improve customer productivity., • Partner with the Engineering Manager on complex applications, technical escalations, and high-priority customer issues., • Support customer quality and product-performance investigations by providing application information, field observations, troubleshooting, and technical input into root-cause analysis., • Partner with Product Management, R&D, Design Engineering, Operations, and global technical teams to evaluate customer requirements and determine whether products or solutions should be modified or developed., • Support R&D and new product development activities through field knowledge, application requirements, testing, and customer validation., • Work with Regional Segment Specialists and PMMs to support key market, customer, and growth initiatives., • Participate in regional and global technical/application knowledge sharing and bring relevant best practices back to the Americas commercial organization., • Provide field feedback on recurring application challenges, product performance, competitive solutions, and technical needs., • Support new product introductions through application validation, customer trials, technical documentation, and training., • Document technical requests, recommendations, and project activity using established systems and processes. Qualifications & Experience • Education: Bachelor of Science (BS) degree in Engineering or a related technical field preferred., • Relevant Experience: 1–3+ years of experience in application engineering, technical sales, product support, conveyor systems, or industrial manufacturing., • Design Tools: Proficiency in SolidWorks or other CAD software preferred., • Software Skills: Strong computer skills in Microsoft Office; experience with Salesforce (SFDC) or similar case-management systems is a plus., • Strong project management, organization, attention to detail, and time-management skills with the ability to manage multiple technical requests and customer projects., • Strong presentation and communication skills with the ability to confidently communicate technical recommendations to internal teams and external customers., • Customer-focused with strong follow-through and personal accountability., • Comfortable working independently while knowing when to escalate complex technical issues., • Travel: Willingness to travel up to 40% for customer site visits, on-site troubleshooting, training, and technical project support., • Languages: Spanish proficiency is a plus for supporting the broader Americas region. Core Competencies • Technical & Analytical Aptitude: Analyze complex application requirements and translate them into practical conveyor belting solutions., • Customer-Centric Problem Solving: Understand the customer’s application and recommend solutions that address the actual operating challenge., • Application Support: Provide consistent technical guidance from initial product selection through installation and troubleshooting., • Commercial Mindset: Understand how technical support contributes to customer confidence, competitive conversions, retention, and growth., • Communication & Training: Clearly communicate technical information and confidently deliver product and application training., • Collaboration: Work effectively with Sales, Engineering, Product Management, Segment Specialists, Customer Service, R&D, Operations, and global technical teams., • Ownership & Follow-Through: Take responsibility for technical requests and projects through resolution. Salary Range - $70000-$75000 Work Authorization: Candidates must be legally authorized to work in the United States on a permanent basis. Unfortunately, visa sponsorship, visa transfers, and employment-based immigration support are not available for this position now or in the future. Location: U.S. – Remote (Preferred: Near a major airport)

Bring your skills and talents to a role where you’ll have the opportunity to change the lives of youth impacted by trauma and assist in long-term healing. We are looking for motivated, caring and dedicated professionals to fill this role! This Position Will: The EHR Data & Applications Developer serves as the technical lead for EHR programming, data integration, and database development. The position is responsible for assisting with EHR testing, troubleshooting, creating data extraction pathways from the EHR, and developing custom reports, forms, and/or templates to support reporting needs. The position is responsible for designing and managing a centralized reporting database and data architecture, and building Power BI data models and reporting solutions that support clinical, operational, quality improvement, regulatory, and strategic initiatives. The role collaborates closely with the EHR Manager, Information Technology staff, vendors, and end users to ensure system reliability, data integrity, and continuous improvement. This position is As-Needed <20 hours/week. The Ideal Candidate Will Possess: REQUIRED: • Bachelor's degree in Computer Science, Information Systems, Software Engineering, or a related field., • Three (3) years of experience in software development, application programming, database development,, • or EHR application support., • Experience designing and maintaining relational databases, data warehouses, ETL processes, and business, • intelligence data models., • Advanced SQL development skills including creation of views, stored procedures, functions, and, • performance optimization., • Experience developing Power BI semantic models, dataflows, and enterprise reporting solutions., • Ability to communicate technical concepts effectively to non-technical users and provide remote support as, • needed., • Ability to successfully complete Streamline Healthcare's Advanced Technical Training upon hire. Founded in 1897, The Allendale Association is a private, not-for-profit organization dedicated to excellence and innovation in the care, treatment, education and advocacy for children and youth with serious emotional, mental and behavioral health challenges. Please visit https://allendale4kids.org/careers/benefits/ for a full benefit summary!

About Nurturebox.ai Nurturebox.ai is building an AI-powered platform that helps recruiting teams find, engage, and nurture talent. We turn plain-language searches into ranked candidate lists, personalized outreach, and automated follow-ups. We're a small, fast-moving team, and every engineer ships code that real customers use within weeks of joining. About the Role We're looking for a Graduate Software Engineer to join our core product team. You'll work alongside senior engineers to build features across our web app, APIs, and AI-driven search and outreach workflows. This is a hands-on role with real ownership, mentorship, and fast growth. What You'll Do • Build and ship features across our frontend (React/TypeScript) and backend (Python/Node.js) services, • Design and consume REST APIs that power candidate search, profile enrichment, and outreach automation, • Integrate LLM-based features such as natural-language search, summarization, and message generation, • Write clean, tested, well-documented code and take part in code reviews, • Debug production issues and improve performance, reliability, and user experience, • Work with product and design to turn user feedback into working features, • Learn and apply good engineering practices: version control, CI/CD, testing, and monitoring What We're Looking For • Bachelor's or Master's in Computer Science, IT, or a related field (or equivalent practical experience), • Strong fundamentals in data structures, algorithms, and OOP, • Proficiency in at least one language such as Python, JavaScript/TypeScript, or Java, • Familiarity with web development basics and REST APIs, • Projects, internships, open-source contributions, or hackathons that show you build things, • Curiosity about AI/LLMs and a willingness to learn quickly, • Clear communication and a collaborative attitude Nice to Have • Experience with LLM APIs, prompt engineering, or RAG, • Exposure to cloud platforms (AWS/GCP) and Docker, • Understanding of recruiting, HR tech, or CRM workflows What We Offer • Competitive salary, • Direct mentorship from senior engineers and founders, • Real ownership of production features from week one, • Learning budget and exposure to cutting-edge AI tooling, • A flexible, high-trust work culture

Technical Lead – Full Stack Development Location: United States - Remote Experience: 8–10 years Tech Stack: Distributed Systems, AWS (incl. EKS), OpenShift, Automation (CI/CD & IaC), Go, Python, Node.js, AI-Assisted Software Development Role Overview We are looking for a Lead Engineer to drive design and development of complex, highly available, distributed systems on AWS using Go, Python, and Node.js, running on Kubernetes-based platforms such as EKS and OpenShift. You will set technical direction for a team, drive an automation-first engineering culture, and act as a hands-on technical leader who partners with product and client stakeholders to turn requirements into resilient, well-tested systems. Key Responsibilities • Lead design and development of complex, distributed, high-availability systems in Go, Python, and Node.js, • Define technical approach and engineering best practices for the team, • Own key AWS infrastructure decisions covering scalability, cost, security, and resilience across container orchestration platforms (EKS, OpenShift) and serverless/compute services, • Drive automation strategy across CI/CD, infrastructure provisioning, testing, and operations, • Lead technical design reviews and set coding and architecture standards, • Mentor engineers and guide their technical growth, • Collaborating with senior leads to drive delivery efficiency and technology excellence, • Partner with product and business stakeholders to translate requirements into technical solutions, • Lead incident response, root-cause analysis, and long-term reliability improvements, • Evaluate and introduce new tools and technologies where they add clear value Required Qualifications • Bachelor’s or master’s degree in computer science, Engineering, or a related field, • 8–10 years of software engineering experience, with significant depth in distributed systems, • Expert-level proficiency in Go and Python, with strong working proficiency in Node.js for polyglot service environments, • Deep hands-on expertise with AWS architecture and services, including container orchestration on EKS, • Hands-on experience running and operating workloads on Red Hat OpenShift as an enterprise Kubernetes platform, • Proven experience designing and scaling automation frameworks and infrastructure-as-code (Terraform, CloudFormation, or Ansible), • Strong grasp of distributed systems fundamentals: consistency models, fault tolerance, service mesh, messaging systems (Kafka, SQS/SNS), and data partitioning, • Experience leading technical projects or small teams, • Strong written and verbal communication skills for working with cross-functional and client stakeholders AI Knowledge & AI-Assisted Development (Required) • Strong, demonstrated use of AI-assisted and agentic development workflows (Claude Code, Copilot, Cursor, or similar) across the full development lifecycle: design, coding, testing, review, and documentation, • Able to define and enforce team-level standards for responsible AI-assisted coding, including validation rigor, security scanning of AI-generated code, and avoiding data leakage in prompts, • Practical knowledge of AI/LLM integration patterns for backend systems: APIs, prompt design, retrieval-augmented generation (RAG), embeddings, and agentic workflows (e.g., MCP), • Able to identify where AI-driven automation can meaningfully improve engineering velocity, code quality, or operational efficiency, and lead adoption within the team, • Ensures AI tool usage on the team aligns with data privacy and security requirements, particularly around PHI and other sensitive health plan data Preferred Qualifications • Extensive experience in the US health insurance or payer domain: claims, enrollment, benefits, provider networks, and HIPAA/compliance-aware system design, • Experience with healthcare interoperability standards (HL7, FHIR, X12 EDI), • Prior experience in a client-facing consulting or professional services environment NOTE: The job is for our client and this is Full-Time position directly with our client.

Title: Senior UX Designer Location: Remote (Flexible on time zone) Duration: 2 Months with possibilities of extension and conversion to full-time Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered Description Meet the team: Our client is a multi-disciplinary team of user experience designers, industrial designers, visual designers, user researchers, and instructional designers. Their passion for the products comes from our passion for the people (including team members) who use our products each day to take control of their health. This role reports to a Senior Manager of UX Design as a member of the Global Product Design team. Passionate about quality, usability, and simplicity. Build delightful and accessible products that display data and insights across multiple platforms. Follow the principles of user-centric design thinking to make data meaningful and actionable for users. With this role, you’ll be part of the team focused on platform, internal tools, and product support for the entire product portfolio. You’ll design experiences that help patients, caregivers, and healthcare providers access the client ecosystem successfully, navigate it easily, and find support effortlessly. You’ll work with a variety of stakeholders including Product Management, Engineering, Regulatory, Quality, Medical Affairs, User Research, and Human Factors from design concept to approvals and delivery. Where you come in: • You will help shape what’s next by partnering with product managers, fellow designers, and engineers to define both the long-term strategy and the short-term tactics for our products and services., • You will be a voice for design by helping us drive the vision for the look, feel, and interactions in client products, and communicate that vision to the rest of the company., • You will push forward new design ideas proactively and take ownership of tasks that impact the entire product portfolio of client apps and internal tools., • You will be a champion for the user by immersing yourself in patient, caregiver, and healthcare provider experiences and help tell the varied and diverse stories of these users as you work to improve their experiences with client products. Likewise, you’ll be a champion for your colleagues as you work to improve their experiences with internal tools., • You will positively influence our design culture by building up our teams, departments, and company through words and actions., • You will welcome feedback and respectful disagreement., • You’ll lead presentations to cross-functional teams and management., • Communicate the problem, the opportunity, and the design recommendations., • Be a design diplomat. Be welcoming of feedback and navigate respectful disagreement., • Seek to inform and influence the audience., • Be willing to compromise to find a mutually agreeable solution., • You enjoy communicating about design and can talk about complex design ideas and processes in a way that’s accessible to diverse audiences., • The ability to discuss tradeoffs between design options and articulate design decisions is a critical skill for our team., • Every member of our team acts as an ambassador, mentor, and educator for our craft across clients., • You can take abstract ideas and concepts and transform them into tangible, delightful experiences for our users., • A great fit for this role is a designer who may not know everything there is to know about the experience of managing diabetes, but through research and curiosity can form metaphors for the tasks managing diabetes involves that resonate with users, visually and conceptually. Your job is to take usually complex information, workflows, and concepts and transform them into delightful experiences that resonate with users., • You have advanced knowledge and experience designing for both web and native mobile apps., • We’d love for the person in this role to understand the challenges of building products that need to serve responsive web, iOS, and Android platforms while speaking one holistic design language., • Your job is to work with design systems, Material Design, and iOS Human Interface Guidelines to craft consistent, high-quality experiences across our products., • You value clear, open communication., • We see clear, thoughtful, and regular communication (including a willingness to give and receive feedback) as a fundamental skill, not just a nice to have and we hope you do too., • You’ll help foster a culture of support, continuous improvement, and design excellence within the team and all those who partner with us., • Be positive and solutions oriented. Build up our teams, departments, and company through words and actions. Learn from existing members of the team and mentor your colleagues. Work related years of experience: 4 – 6 years experience (GCF Requirement: Bachelor’s degree and a minimum of 5 – 8 years of related experience) Education Requirements: Experience with regulated medical device software, prescription digital health products, Human Factors/usability engineering, WCAG accessibility guidelines, and healthcare onboarding is strongly preferred Required Skill: • 6+ years of UX or product design experience, with demonstrated strength designing patient- and provider-facing experiences in healthcare, diabetes care, or other regulated product environments, • You must have a portfolio that demonstrates a strong end-to-end UX design process, including clinical problem framing, workflow mapping, data visualization, interaction design, usability testing, and design rationale. Include your online portfolio link or PDF in your application, including any required passwords., • You must have experience designing responsive web experiences, mobile app experiences, and familiarity with iOS, Android, accessibility, and platform design patterns., • Experience designing companion experiences for sensors, wearables, connected devices, or data-rich health products is strongly preferred. Preferred Skills • Prior experience as a Senior or Lead UX Designer delivering complex digital health, medical device, or clinical software products, • Bachelor’s degree in Human Computer Interaction (HCI), Interaction Design, Product Design, Industrial Design, Cognitive Science, Human Factors, or another related field., • You must be proficient with modern design, prototyping, and collaboration tools, including Figma., • Familiarity with design systems and AI-enabled design workflows is a plus.

About the Company At Genesis MedTech, our mission is to make high-quality healthcare more affordable and accessible for all. We believe everyone can make a meaningful impact. Through inclusive collaboration, shared purpose, and a caring culture, we explore ideas, create innovative solutions, and improve patients’ lives. Website: https://www.genesismedtech.com/ About the Role Genesis MedTech is seeking a strategic and entrepreneurial robotics engineering leader to help shape and accelerate the future of our minimally invasive surgical robotics platform. This is a unique opportunity to join a growing U.S. R&D organization and play a pivotal role in defining the company's U.S. robotics strategy, advancing product development, and building the foundation for future robotics capabilities and teams. The Robotics Systems Engineering Lead will serve as the senior U.S.-based robotics technical leader, partnering closely with global engineering teams to evaluate the current state of the robotics program, identify opportunities to accelerate development while maintaining rigorous quality standards, and drive execution of key technical initiatives. This individual will provide leadership in robotics systems architecture, controls, system integration, and technology strategy, ensuring the robotic platform delivers safe, reliable, and clinically meaningful performance. In addition to providing hands-on technical leadership, this role will be responsible for developing recommendations to expand U.S. robotics capabilities, leveraging internal resources, external partners, and industry expertise to achieve business objectives. The successful candidate will bring deep knowledge of the U.S. robotics ecosystem, a strong strategic mindset, and the ability to operate effectively in a fast-paced, global development environment. As the U.S. robotics organization grows, this leader will play a key role in defining team structure, recruiting talent, and building a high-performing robotics engineering capability that supports future commercialization efforts. Location & Travel Requirements This position offers flexibility for remote work within the United States. The successful candidate will be expected to travel approximately 30% of the time, including regular visits to our Minneapolis office and international travel to support collaboration, development activities, and key business objectives. Responsibilities • Develop and execute the U.S. robotics strategy to accelerate the advancement of Genesis MedTech's global robotic platform while maintaining rigorous quality and performance standards., • Assess existing robotics capabilities and recommend organizational, technical, and resource investments to support future growth and commercialization., • Build and lead a robotics systems team to establish and implement requirements to ensure design outputs are successfully integrated into effective system designs for optimal clinical performance., • Build team capabilities and organizational capacity aligned with business growth with start-up mindset, • Work closely with internal cross-functional teams and external partners including marketing, regulatory, quality, preclinical and clinical teams to ensure system quality., • Lead algorithm development and optimization to ensure consistent performance across robotic systems and instruments., • Design metrics and benchmarks to quantify system/visualization/instrument performance., • Lead system-level test design and validation efforts for robotic systems, visualization and instruments across the development lifecycle., • Perform root cause analysis for test failures and support debugging of cross-domain system issues., • Maintain comprehensive documentation for test plans, system validation reports, and performance assessments., • Up to 30% travel (domestic and international) is required. Qualifications Required • Bachelor’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field., • 8+ years of experience developing robotic, mechatronic, or complex electromechanical systems., • Demonstrated technical leadership in the development of complex robotic systems, medical devices, or other highly regulated products., • Experience designing, developing, and integrating robotic control systems., • Experience integrating hardware and software components within complex electromechanical systems., • Demonstrated sound engineering judgment and strong technical problem-solving skills., • Ability to communicate effectively across all levels of the organization., • Self-motivated with a demonstrated ability to drive continuous improvement and deliver results with minimal direction., • Ability to operate independently and effectively in a fast-paced, entrepreneurial environment. Preferred • Leadership experience developing technically complex products from concept through product development and commercialization., • Demonstrated technical leadership in developing and executing strategies for complex robotics or medical device programs., • Experience building and scaling engineering teams and technical capabilities in startup or high-growth environments., • Experience leading and developing technical teams., • Proven track record of launching commercially successful medical devices., • Experience in regulated industries; prior FDA interaction experience is highly desirable., • Advanced Degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field. Pay range and compensation package Base Salary Range: $140,000- 250,000 annually. Actual compensation will be based on factors such as experience, qualifications, skills, geographic location, and business needs. This position is also eligible for an annual performance bonus and a comprehensive benefits package. Equal Opportunity Statement Genesis MedTech provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act (ADA) and applicable state and local laws. Applicants who require accommodation during the application or interview process should contact Human Resources. Genesis MedTech is an Equal Opportunity Employer. We are committed to creating an inclusive workplace and providing equal employment opportunities to all employees and applicants. Employment decisions are made without regard to race, color, religion, creed, sex, pregnancy, childbirth or related medical conditions, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, veteran status, military status, citizenship status, or any other characteristic protected by applicable federal, state, or local law.

Senior Machine Learning Engineer Remote, United States Overview Harnham is partnering with a global technology company at the forefront of ecommerce fraud prevention and transaction intelligence. The organization provides machine learning driven technology that helps online retailers identify fraud in real time, approve more legitimate transactions, and reduce financial losses throughout the digital purchasing journey. The platform supports approximately 1,000 merchants across more than 100 countries, processing billions of transactions annually. Its business model goes beyond traditional fraud detection by providing a financial guarantee on approved transactions, placing the performance of its machine learning technology directly at the center of the customer experience and the business. Work Authorization This position is open only to U.S. citizens and U.S. lawful permanent residents (Green Card holders). The employer is unable to provide or support employment visa sponsorship now or in the future, including H-1B, F-1 OPT, STEM OPT, CPT, TN, O-1, E-3, J-1, or other temporary or nonimmigrant work authorization. Candidates who do not meet this requirement will not be considered. The Role The Senior Machine Learning Engineer will join an established Machine Learning organization responsible for developing and operating the models that power real time fraud decisions across the platform. This position combines applied machine learning, experimentation, statistical evaluation, and production engineering. You will own complex ML problems from initial exploration and model development through offline evaluation, deployment, monitoring, and continued optimization. The team is seeking an engineer with strong machine learning fundamentals who can independently evaluate technical approaches, develop solutions from the ground up, and operate effectively within large scale distributed environments. Responsibilities • Design, develop, evaluate, and deploy machine learning models supporting real time fraud detection and transaction decisioning., • Develop experimental approaches to complex business and machine learning problems., • Build and enhance ML pipeline components that enable efficient, repeatable experimentation., • Develop rigorous offline evaluation methodologies to assess model performance prior to production deployment., • Evaluate model architectures, features, and statistical approaches to improve predictive performance., • Contribute to ensemble modeling approaches that combine multiple models into improved decision systems., • Build and operate distributed machine learning workloads using Python, SQL, and Spark., • Own models throughout the full lifecycle, including development, testing, deployment, monitoring, and optimization., • Partner with Product, Engineering, and Risk teams to translate business requirements into scalable technical solutions., • Establish and maintain high standards for testing, documentation, reproducibility, and model monitoring., • Provide technical leadership and contribute to the broader direction of the Machine Learning organization. Required Qualifications • 4+ years of post undergraduate professional experience in a production machine learning environment., • Demonstrated experience independently developing machine learning solutions from experimentation through production., • Strong proficiency in Python and SQL., • Hands-on experience with Apache Spark and distributed computing environments., • Strong foundation in machine learning theory, statistics, experimental design, and model evaluation., • Experience designing and conducting machine learning experiments from the ground up rather than primarily fine tuning or integrating existing foundation models., • Experience developing offline evaluation frameworks and comparing multiple modeling approaches., • Experience deploying, monitoring, and improving machine learning models in production., • Ability to work independently on technically ambiguous problems while collaborating across engineering and business functions. Preferred Qualifications • Master's degree or PhD in Computer Science, Statistics, Machine Learning, Mathematics, or a related quantitative discipline., • Strong academic or research background in machine learning or statistics., • Experience with ensemble modeling techniques., • Experience developing ML systems operating on high volume or real time data., • Experience within fraud detection, payments, ecommerce, transaction risk, or a related domain. Work Environment This position is fully remote within the United States. The team operates across U.S. time zones, with in-person travel expected approximately once per year. The Machine Learning organization consists of approximately 20 professionals working across three small, highly collaborative teams. Each team maintains end-to-end ownership of its services and the machine learning models supporting its product area. Compensation & Benefits The anticipated base salary varies by geographic location and level, with compensation ranging from $140,000 to $210,000 across the United States. The organization has flexibility to offer up to $210,000 base for select profiles. Additional compensation and benefits include: • Annual performance bonus, • Stock options, • 401(k) match, • Medical, dental, and vision coverage, • Unlimited PTO, • 12 weeks of paid parental leave, • Life and disability insurance, • Mental health and therapy benefits, • Professional learning and development resources About Harnham Harnham is a specialist recruitment firm focused exclusively on Data, Analytics, Artificial Intelligence, and Technology. We are partnering directly with the hiring organization to identify experienced machine learning professionals for this opportunity.

Computer Science, Data Science, Mathematics, Statistics, Engineering, Physical Science, Natural Science.

Bachelor's degree in data engineering, computer science, data science, machine learning, mathematics, or a related field. Migrate source data identified by SBA OIG into Azure Data Lake Storage. Optimize ingestion, processing, and storage across a wide variety of datasets and data types, including mo

A Bachelor's degree in Computer Science, Computer Engineering, or Software Engineering.

Computer Science, Software Engineering, or related field. Collaborating with project leads, solution engineers, and supply managers on complex or experimental projects.

A Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent hands-on experience).

Must possess the skills and knowledge of a Bachelor’s degree in computer science, software engineering, or related discipline.

Job DescriptionSR HADOOP DEVELOPER REMOTE ARC Group has an immediate opportunity for a Senior Hadoop Developer! This is starting out as a 6 month contract position with potential to extend longer or convert to FTE. This is a remote position working eastern time zone business hours. This is a fantastic opportunity to join a well-respected healthcare organization offering tremendous career growth potential. At ARC Group, we are committed to fostering a diverse and inclusive workplace where everyone feels valued and respected. We believe that diverse perspectives lead to better innovation and problem-solving. As an organization, we embrace diversity in all its forms and encourage individuals from underrepresented groups to apply. 100% REMOTE! Candidates must currently have PERMANENT US work authorization. Sorry, but we are not considering any candidates from outside companies for this position (no C2C, 3rd party / brokering). The Hadoop developer is responsible for the design, development and operations of systems that store and manage large amounts of data. Most Hadoop developers have a computer software background and have a degree in information systems, software engineering, computer science, or mathematics. Essential Functions: Write code for moderately complex system designs. Write programs that span platforms. Code and/or create Application Programming Interfaces (APIs). Write code for enhancing existing programs or developing new programs. Review code developed by other IT Developers. Provide input to and drive programming standards. Write detailed technical specifications for subsystems. Identify integration points. Report missing elements found in system and functional requirements and explain impacts on subsystem to team members. Consult with other IT Developers, Business Analysts, Systems Analysts, Project Managers and vendors. Scope time, resources, etc., required to complete programming projects. Seek review from other IT Developers, Business Analysts, Systems Analysts or Project Managers on estimates. Perform unit testing and debugging. Set test conditions based upon code specifications. May need assistance from other IT Developers and team members to debug more complex errors. Supports transition of application throughout the Product Development life cycle. Document what has to be migrated. May require more coordination points for subsystems. Researches vendor products / alternatives. Conducts vendor product gap analysis / comparison. Accountable for including IT Controls and following standard corporate practices to protect the confidentiality, integrity, as well as availability of the application and data processed or output by the application. The essential functions listed represent the major duties of this role, additional duties may be assigned. Specific Tools/Languages Required: HADOOP Spark Requirements: • 5-8 years related work experience of IT development/programming/coding professional within a Hadoop environment, • Experience with Agile Methodology, • HBASE/Scala/Spark development required (all three), • Experience using Hadoop Distributed File System (HDFS) required, • Development experience with Kafka required, • Data warehousing experience requiredPreferred experience: Snowflake, AWS, Ab Initio Required Work Experience: 5+ years related work experience, Professional experience with technical design and coding in the IT industry Required Education: Related Bachelors degree or related work experience Would you like to know more about our new opportunity? For immediate consideration, please send your resume directly to John Burke at johnb@arcgonline.com or apply online while viewing all of our open positions at www.arcgonline.com. ARC Group is a Forbes-ranked a top 20 recruiting and executive search firm working with clients nationwide to recruit the highest quality technical resources. We have achieved this by understanding both our candidate's and client's needs and goals and serving both with integrity and a shared desire to succeed. At ARC Group, we are committed to providing equal employment opportunities and fostering an inclusive work environment. We encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or any other protected status. If you require accommodations during the recruitment process, please let us know. Position is offered with no fee to candidate.

Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U. An MS, PhD, or equivalent practical experience in Computer Science, Electrical Engineering,

Veeva System is looking for a self-driven Senior Software Engineer in Test who is passionate about quality and automation. Bachelor’s degree in Computer Science/Engineering or equivalent. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year w

Our Mission: This remote Network Engineer III role is to ensure the operational stability, availability and integrity of voice, data, and wireless network services. This is achieved by planning, designing, and maintaining local area networks (LANs) and wide area networks (WANs) across the organization and multiple sites. In addition, the Network Engineer will participate with the installation, monitoring, maintenance, support, and optimization of all network hardware, software, and communication links. This individual will also analyze and resolve network hardware and software problems in a timely and accurate fashion and provide end user training where required. Requirements: 1. B.S in Electrical Engineering, Computer Science, Information Technology, or ten or more years' experience as a network engineer with 5 years at a senior level. 1. Cisco Certified Network Professional (CCNP) not to be expired more than 1 year., 2. Proven experience and success with LAN, WAN, WLAN, design, and implementation which includes firewall and Data Center Network technologies., 3. Proven experience with network capacity planning, network security principles, and general network management best practices., 4. Strong, hands-on technical knowledge of network technologies from Dell, Aruba, Cisco, and Palo Alto, 5. Excellent hardware troubleshooting experience., 6. Competence with testing tools and procedures for data circuits., 7. Good understanding of the organization's goals and objectives., 8. Knowledge of applicable data privacy practices and laws., 9. Strong interpersonal, written, and oral communication skills., 10. Able to conduct research into networking issues and products as required., 11. Ability to present ideas in user-friendly language., 12. Highly self-motivated and directed, with keen attention to detail., 13. Proven analytical and problem-solving abilities., 14. Able to effectively prioritize tasks in a high-pressure environment., 15. Strong customer service orientation., 16. Experience working in a team-oriented, collaborative environment. QUALIFICATIONS PREFERRED: • Palo Alto Networks Certified Network Security Administrator/Engineer, • Cisco ACI - Data Center Application Centric Infrastructure (DCACI), • Aruba Wireless, • Operational experience with IPv6

Position Overview: The IFI Cloud Service includes a broad set of customer-facing services, application components, databases, integrations, and on-premises cloud infrastructure. The Principal Application DevOps Engineer, AI & Automation will bring an application-first engineering perspective to Cloud Services and serve as a key bridge between R&D and Operations. This is a senior, hands-on individual contributor role for a technical leader who can anchor application operations and progressively build AI-enabled automation capability within Cloud Services. The role is responsible for advancing application observability, production triage, release engineering, deployment automation, and operational readiness, while reducing reliance on development resources for day-to-day production insight and release support. The individual will also lead practical adoption of AI within operational workflows. The focus is not limited to using AI as a personal productivity tool. This role will identify, design, build, and operationalize AI-assisted solutions that improve incident response, monitoring quality, deployment assurance, root cause analysis, and operational decision-making. The successful candidate will be comfortable moving from an idea or proof of concept to a secure, supportable solution used by the team. Responsibilities: Application Operations & Observability • Develop deep working knowledge of IFI application architecture, service dependencies, transaction flows, and common failure modes., • Define and implement application health indicators, service-level indicators, dashboards, alerts, and diagnostic views that connect system behavior to customer and application impact., • Advance monitoring beyond infrastructure signals such as CPU, disk, memory, and connections by incorporating application behavior, transactions, errors, latency, dependencies, and business-process health., • Partner with engineers and support teams to improve telemetry, logging, tracing, application diagnostics, and supportability., • Establish standards for actionable alerting, monitoring coverage, operational runbooks, and application readiness. Incident Triage, Reliability & Problem Management • Lead application-focused triage for complex production incidents and help the team distinguish symptoms from application, integration, data, deployment, or infrastructure causes., • Use logs, metrics, traces, code-level context, database signals, and deployment history to accelerate diagnosis and recovery., • Drive root cause analysis and corrective-action planning for recurring or high-impact issues., • Identify reliability risks and translate findings into engineering improvements, automation, monitoring changes, and backlog items., • Coach Cloud Services engineers in application-aware troubleshooting and production engineering practices. Software Delivery & Release Engineering • Own and improve deployment automation, CI/CD pipelines, release engineering practices, and environment promotion processes., • Establish release standards, deployment validation, post-deployment assurance, rollback procedures, and production-readiness criteria., • Partner with R&D to define clear operational handoffs, ownership boundaries, and support expectations for new and changed capabilities., • Advance practices such as automated testing, progressive delivery, Blue/Green deployments, controlled cutovers, and automated recovery., • Reduce manual steps, release risk, and dependency on individual subject matter experts. AI-Enabled Operations & Automation • Identify and prioritize operational problems where AI can materially improve speed, quality, consistency, or engineering capacity., • Design and build practical AI-assisted solutions for alert enrichment, incident summarization, triage guidance, log and telemetry analysis, deployment validation, anomaly investigation, knowledge retrieval, and corrective-action recommendations., • Move AI opportunities from concept through prototype, validation, production implementation, adoption, and measurable outcome tracking., • Integrate approved AI capabilities with operational data sources, monitoring platforms, delivery pipelines, knowledge repositories, and team workflows., • Apply appropriate security, access, data-handling, validation, auditability, and human-review controls to AI-enabled operational solutions., • Establish reusable patterns and coach engineers so AI adoption becomes a team capability rather than a collection of isolated experiments. Technical Leadership & Partnership • Serve as a senior technical leader and change agent without requiring formal people-management responsibility., • Influence architecture, tooling, engineering priorities, and operating practices across Cloud Services, R&D, AppOps, and related partners., • Turn ambiguous operational needs into a clear technical approach, delivery plan, and measurable result., • Mentor engineers through hands-on pairing, technical reviews, troubleshooting sessions, and reusable guidance., • Communicate technical findings and recommendations clearly to engineering, operations, product, and leadership audiences., • Participate in scheduled daytime on-call coverage as part of a follow-the-sun support model and in off-hours maintenance windows as assigned. Success Measures • Improved application-level observability and earlier detection of customer-impacting conditions., • Faster, more consistent application triage with less dependency on R&D or individual subject matter experts., • Increased Cloud Services ownership of release, deployment, validation, and operational-readiness activities., • Reduced avoidable alert noise, recurring incidents, manual release effort, and deployment failures., • Production use of AI-enabled operational capabilities with demonstrated adoption and measurable value., • Greater application and software-delivery depth across the broader Cloud Services engineering team. Basic Qualifications: • Bachelor's degree in Computer Science, Software Engineering, Information Technology, or an equivalent combination of education and relevant experience., • 10+ years of experience across software engineering, DevOps, site reliability engineering, application operations, production engineering, or related disciplines., • Extensive experience supporting enterprise SaaS or distributed microservices applications in production environments., • Strong software-development or scripting capability and the ability to read, troubleshoot, and improve application code and automation., • Hands-on experience with CI/CD, configuration automation, deployment tooling, source control, and software release practices., • Demonstrated expertise with application performance monitoring, centralized logging, distributed tracing, alert design, and production diagnostics., • Experience leading complex incident triage, root cause analysis, and reliability improvements across application and infrastructure boundaries., • Experience building or integrating AI-assisted engineering or operations solutions, including agentic AI workflows, AI agents, or tool-using automation beyond basic code generation or ad hoc analysis., • Ability to lead through influence, mentor experienced engineers, and deliver meaningful progress in an environment with shared ownership. Preferred Qualifications: • Experience supporting highly available applications and services in on-premises or private-cloud environments., • Experience with tools such as Datadog, Splunk, Jenkins, Octopus Deploy, Ansible, Terraform, GitHub, or comparable platforms., • Experience designing operational workflows that use generative AI, AI agents, retrieval-augmented generation, or machine-learning-based analysis., • Familiarity with responsible AI practices, including data protection, validation, human oversight, prompt and model risk, and production monitoring., • Experience with secure, highly available, regulated, or payment-related services., • Experience with Blue/Green deployment models, automated post-deployment assurance, and production-readiness reviews. About Entrust Entrust keeps the world moving safely by enabling trusted identities, payments, and data protection around the globe. People rely on seamless, secure experiences when crossing borders, making purchases, accessing corporate networks, and interacting with digital services. Entrust delivers a broad portfolio of identity, payment, and data-protection solutions to organizations around the world. Entrust Corporation is an equal opportunity employer, including veterans and people with disabilities. NO AGENCIES, NO RELOCATION At Entrust, we don’t just offer jobs – we offer career journeys. Here is what you can expect when you join our team: • Career Growth: Whether you’re a budding developer or a seasoned expert, we’re invested in your professional journey. With learning-forward initiatives and exciting challenges, your growth is our priority., • Flexibility: Life is all about balance. Whether you’re remote, hybrid, or on-site, we offer flexible options that fit your lifestyle., • Collaboration: Here, your voice matters. Our teams thrive on sharing ideas, brainstorming solutions, and working together to build a better tomorrow. We believe in securing identities—but it doesn’t stop there. At Entrust, we’re passionate about valuing all identities. Our culture is built on diversity, inclusion, and respect. From unconscious bias training for our leaders to global affinity groups that connect colleagues across the globe, we’re creating a community where everyone is encouraged to be themselves. Ready to Make an Impact? If you’re excited by the prospect of innovating, growing your career, and collaborating in a dynamic environment, Entrust is the place for you. Join us in making a difference. Let’s build a more secure world—together. Apply today!

Company Summary: We are a value-based, precision medicine company specializing in Health IT, real-world data, and digital health solutions for specialty providers, payers, and life sciences companies. Through the provision of technology products and technology-enabled services, along with unmatched clinical expertise, we are able to close gaps in care, improve patient outcomes, generate real-world evidence, and accelerate and augment customer commercial success across the healthcare value chain. We are looking for like-minded individuals committed to making a difference in healthcare. Come join our growing team! Job Description: Help build AI-enabled products that shape the future of precision medicine. At PrecisionQ, the Life Sciences Business Unit of Integra Connect, we build analytical products that turn complex, de-identified healthcare data into actionable insights for pharma, biotech, and healthcare organizations. We’re looking for an experienced, technically grounded Senior Product Manager to help lead the evolution of our clinical intelligence platform. Working across EMR, medical and pharmacy claims, patient-reported outcomes, and genomics data, this role will support innovation in oncology, urology, and value-based care with the goal of improving outcomes and lowering costs. This is an exciting opportunity for a Senior Product Manager who wants to build at the intersection of AI, healthcare data, and product innovation. In this role, you’ll partner closely with engineering, clinical, and analytics teams to shape and deliver high-value analytical products that serve customers across the life sciences ecosystem. Responsibilities: • Lead the strategy, development, and evolution of analytical products serving pharma, biotech, and healthcare provider customers., • Partner with engineering, clinical, and analytics teams to turn complex healthcare data into scalable, high-value product experiences and insights., • Own the full product lifecycle from ideation and prioritization through launch, adoption, and ongoing optimization., • Identify new product opportunities and evaluate them using a data-driven methodology to support strategic decision-making., • Manage the product roadmap and enhance existing capabilities that support PrecisionQ’s life sciences business., • Define product success metrics and build reporting frameworks to measure performance and impact., • Develop and maintain internal and external product documentation, instructions, and user guides., • Stay close to customer needs and industry trends by engaging with the market and attending key conferences such as ASCO., • Operate as a hands-on, self-driven individual contributor while leading work within Agile sprint processes. Qualifications: • 7+ years of product management experience within life sciences, healthcare, or pharmaceutical organizations., • Strong understanding of software development processes, ideally in an Agile environment., • Experience building AI-powered products, including an understanding of large language models and the difference between prototype solutions and production-grade systems., • Experience working with healthcare data, especially EMR and claims data., • General understanding of data warehousing and both structured and unstructured data., • Ability to analyze healthcare data using SQL, R, Python, or similar tools., • Excellent communication, presentation, and cross-functional collaboration skills., • Oncology expertise from a clinical, scientific, or pharmaceutical background., • Experience working at or in partnership with pharmaceutical or biotech companies., • Bachelor’s degree in an analytical, scientific, medical, computer science, or healthcare-related field; advanced degree preferred., • Willingness to travel up to 10%. Preferred Qualifications: • Experience with patient-reported outcomes, genomics, or other advanced real-world healthcare datasets., • Experience building products for precision medicine, oncology, urology, or value-based care use cases., • Advanced degree in a scientific, medical, analytics, or technology-related field. Benefits: Integra Connect, LLC provides a comprehensive benefits plan • Medical/Dental/Vision Insurance beginning the 1st of the month following your date of hire, • Paid Time Off, • 401k with employer match, • Paid Holidays and Floating Holiday Equal Opportunity Employer Please note that the deadline for submitting applications is October 31, 2026. All applications must be received by this date to be considered.

Role Description: This is a full-time remote role for Algorithm Engineer (Ads) Responsibilites: 1. Formulate and solve optimization problems for cross-channel budget pacing and intelligent bid adjustments across major search platforms., 2. Perform complex exploratory data analysis (EDA) to evaluate the financial impact of strategic initiatives and the performance of various creative combinations., 3. Utilize and fine-tune Large Language Models (LLMs) to generate and iterate high-converting ad copy and brainstorm keywords at scale., 4. Integrate multi-modal/image generation models to produce and optimize visual assets for ads and landing pages., 5. Implement algorithms to logically organize massive, unstructured keyword lists into coherent ad groups., 6. Partner closely with data and software engineers to deploy bidding rules, analytical models, and Generative AI pipelines into robust production environments. Requirements: 1. Master‘s degree or PhD in Computer Science, Data Science, Statistics, Operations Research, AI/Machine Learning, or a highly quantitative field. 2.2+ years of experience in algorithmic roles, data science, or machine learning, ideally with exposure to both optimization/analytics and NLP/Generative AI. 1. Strong programming skills in Python and deep proficiency with SQL for complex data extraction, manipulation, and analysis., 2. Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow) and working knowledge of LLMs (e.g., prompt engineering, fine-tuning)., 3. Deep understanding of statistical concepts, causal inference, and rigorous A/B testing design., 4. Exceptional analytical problem-solving skills and the ability to adapt to changing business needs across different technical domains. In addition, you may receive benefits depending on the nature of employment, job position, and work location. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Insurance Coverage, 2. Paid Time Off (PTO), 3. Paid Sick Leave (in accordance with applicable state and local laws), 4. 403(k) Plan The Company reserves the right to modify or change these benefit programs at any time, with or without notice, consistent with applicable law.

About the Role The Computer Vision/AI Consultant will serve as a strategic advisor and technical leader focused on designing, validating, and delivering enterprise-scale Computer Vision and AI solutions. This role combines deep technical expertise with customer-facing leadership responsibilities, driving AI adoption initiatives while contributing to the NVIDIA alliance go-to-market strategy. The position will work closely with clients, internal engineering teams, NVIDIA stakeholders, and business development leaders to create scalable AI architectures, reusable accelerators, and industry-focused solutions that deliver measurable business outcomes. Responsibilities • Lead end-to-end Computer Vision and AI engagements from discovery and solution architecture through implementation and value realization, • Translate complex business challenges into scalable AI/CV solution roadmaps and enterprise architectures, • Act as a trusted advisor to executive stakeholders, driving AI adoption and demonstrating measurable business impact, • Manage project governance including scope, timelines, budget, risk management, and delivery quality across multiple initiatives, • Lead cross-functional collaboration between engineering, data science, product teams, and NVIDIA stakeholders, • Contribute to the NVIDIA alliance GTM strategy by shaping AI/CV offerings, accelerators, and industry solutions, • Support pre-sales activities including workshops, proposals, executive presentations, and solution positioning, • Develop reusable frameworks, proof-of-concepts, demos, and accelerators to improve scalability and reduce time-to-market, • Conduct market research and evaluate emerging technologies across the NVIDIA ecosystem including NeMo, Triton, TensorRT, Metropolis, and related AI platforms, • Drive thought leadership initiatives through whitepapers, demos, case studies, and industry events, • Establish best practices for model lifecycle management, deployment, and enterprise AI architecture standards Requirements • 6+ years of experience in Computer Vision, Machine Learning, Deep Learning, or AI solution delivery, • Strong expertise in multimodal AI, generative AI, transformers, diffusion models, and vision-language models, • Hands-on experience with Python and ML frameworks such as PyTorch, Pandas, NumPy, and cloud-based AI toolsets, • Experience across the full AI model lifecycle including experimentation, optimization, deployment, and inference, • Expertise with GPU-accelerated technologies such as DeepStream, TensorRT, Triton Inference Server, ONNX, TAO Toolkit, or similar platforms, • Familiarity with NVIDIA AI technologies including NeMo, Riva, TensorRT, Triton, Metropolis, or related ecosystem tools strongly preferred, • Strong understanding of classical Computer Vision techniques including camera calibration, feature matching, homography estimation, and image/video analytics, • Experience deploying AI solutions within AWS, Azure, GCP, Kubernetes, OpenShift, or hybrid enterprise environments, • Strong advisory and stakeholder management capabilities with experience presenting to leadership teams and supporting GTM initiatives, • Excellent communication, collaboration, analytical, and problem-solving skills, • Understanding of enterprise software architecture, cloud computing, Big Data, SDLC, and AI adoption challenges, • Bachelor’s degree in Computer Science, Applied Mathematics, Physics, or related technical field preferred The anticipated salary range for this role is 200,000 - 220,000 USD annually, in line with our internal compensation framework and budget allocation for the role. Most candidates are offered a salary within this disclosed range. If the role is eligible for a variable pay plan, this would be considered separately and may provide additional earnings beyond the base salary range reflected here. Please note, the information provided in this posting is a general summary and may not include all compensation elements or benefits associated with the position. SoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law. Let’s put your talents and experience in motion with SoftServe.

As a Power BI Developer in a management consulting firm, you will design, develop, and maintain advanced data visualization solutions that enable clients to make data‑driven decisions. You will collaborate with consulting teams across delivery, sales, marketing, and GTM functions to translate complex business requirements into actionable insights. 🔑 Key Responsibilities • Dashboard Development: Build interactive and scalable Power BI dashboards and reports tailored to client needs., • Data Modeling: Design and optimize data models using DAX, Power Query, and SQL for performance and accuracy., • Analytics & Insights: Provide workforce insights, trend analysis, and KPI tracking to support strategic decisions., • Integration: Connect Power BI with enterprise systems (Workday, Oracle, Dynamics 365, Microsoft O365)., • Stakeholder Management: Partner with consulting teams and client leadership to present insights and recommendations., • Change & Project Management: Support analytics transformation projects, ensuring readiness, validation, and issue resolution., • Governance & Compliance: Ensure adherence to data security, compliance, and governance standards. 🎓 Qualifications • Bachelor’s/Master’s in Computer Science, Engineering, IT, or related field., • 3–6 years of experience in Power BI development within consulting or analytics environments., • Strong expertise in DAX, Power Query, SQL, and data visualization best practices., • Familiarity with Azure services, Power Automate, and Dataverse is a plus., • Excellent communication and presentation skills for client‑facing roles.

About the Company: LightSpun is a rapidly growing SaaS company revolutionizing healthcare administration in the dental, vision, and accident insurance domains. We offer a comprehensive, end-to-end platform for providers and payers, aiming to empower our clients with cutting-edge technology for exceptional service and operational efficiency. Our work involves building AI-first scalable services for healthcare administration tasks such as credentialing, onboarding, and managing brokers, providers, members, and claims. About the Role: We are seeking a Software Engineer to build features and services on our healthcare administration platform. You'll ship production code from early on, working within a team that includes senior engineers who will support your growth through design reviews, code reviews, and pairing. This is a remote-first role collaborating with teammates across the US and our Bengaluru engineering hub. Location: Remote (United States) Responsibilities: • Feature Development: Implement, test, and ship well-scoped features and services across our platform, growing toward end-to-end ownership., • Code Quality: Write clean, tested, maintainable code, and participate actively in code reviews — both giving and receiving feedback., • Production Mindset: Learn to operate what you build: monitoring, debugging production issues, and contributing to incident follow-ups., • Compliance Awareness: Build with security and privacy in mind, following our standards for a regulated healthcare environment (e.g., HITRUST, SOC 2, HIPAA)., • Collaboration: Work with product, QA, and engineers across time zones; communicate progress and blockers clearly in an async, remote-first environment. Qualifications: • Bachelor's degree in Computer Science or a related field, or equivalent practical experience., • 2+ years of professional software development experience (or strong internship/project experience with demonstrated production impact)., • Proficiency in Python or a comparable backend language, with willingness to work primarily in Python., • Familiarity with web service fundamentals: APIs, databases, testing, and version control., • Exposure to cloud platforms (e.g., AWS, GCP, Azure) and Docker is a plus., • Interest in AI-assisted and agentic software systems is a plus., • Experience or interest in healthcare or insurance technology is a plus., • Clear written communication and eagerness to learn in a remote team., • Authorized to work in the United States. Equal Opportunity Statement: LightSpun is an equal opportunity employer committed to diversity and inclusivity. We encourage applications from individuals of all backgrounds and experiences. Please email your resume to .

Why This Role Matters: We are seeking a skilled and experienced Full Stack Engineer to join our team with a strong focus on AWS cloud-based development and deployments. You will play a crucial role in designing, developing, and maintaining scalable web applications deployed on AWS infrastructure. Your expertise in cloud-native development, containerization, infrastructure as code, and CI/CD practices will be essential to delivering high-quality, secure, and performant solutions. You will collaborate with cross-functional teams to build and maintain applications using modern DevOps practices and tools. How You'll Contribute: • Application Development: Design, develop, and maintain full-stack web applications with a focus on cloud-native architecture on AWS., • Cloud Infrastructure: Build and manage AWS services including ECS, EC2, Lambda, S3, RDS, and other AWS offerings., • Containerization: Develop and deploy containerized applications using Docker on AWS ECS; support VM-based applications when required., • Infrastructure as Code: Implement and maintain infrastructure using Terraform, ensuring repeatable, version-controlled deployments., • CI/CD Pipelines: Design and manage CI/CD pipelines using GitLab CI/CD for automated builds, testing, and deployments., • Package Management: Configure and manage artifact repositories using CloudSmith for secure package distribution., • Identity & Access Management: Integrate and manage authentication/authorization using Microsoft Entra ID (Azure AD) as the Identity Provider., • Security & Networking: Implement security best practices; collaborate on ZScaler configurations for secure network access., • Collaboration: Work closely with product managers, Platform Engineers, and other developers to deliver robust solutions., • Optimization: Optimize applications for reliability, and security., • Troubleshooting: Diagnose and resolve issues across the full stack, from frontend to cloud infrastructure., • Continuous Learning: Stay current with advancements in AWS services, cloud development, and DevOps practices. What We're Looking For: • Technical Proficiency: Strong proficiency in JavaScript/TypeScript, HTML, and CSS., • Backend Development: Experience with backend frameworks (NestJS, Node.js, or similar)., • Frontend Development: Proficiency in building modern, responsive applications (Angular, React, or similar)., • AWS Cloud: Extensive experience with AWS services including:, • ECS (Elastic Container Service) for container orchestration, • EC2 for VM-based applications, • S3, RDS, Lambda, IAM, CloudWatch, and other core services, • Containerization: Solid experience with Docker and container-based deployments., • Infrastructure as Code: Hands-on experience with Terraform for provisioning and managing AWS infrastructure., • CI/CD: Proven experience building and maintaining CI/CD pipelines, preferably using GitLab CI/CD., • Version Control: Strong proficiency with Git and GitLab workflows., • Identity Management: Experience integrating applications with enterprise Identity Providers, specifically Microsoft Entra ID (Azure AD)., • Package Management: Familiarity with artifact repositories such as CloudSmith., • APIs & Data: Experience with RESTful APIs, GraphQL, and relational databases (PostgreSQL preferred)., • Testing: Experience with testing frameworks (Jest, Mocha, Jasmine, or similar)., • Soft Skills: Excellent problem-solving, troubleshooting, communication, and teamwork abilities., • Education: Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)., • AWS Certifications such as Generative AI Developer Preferred (Nice to Have): • CMS Platforms: Experience with headless CMS platforms such as Contentful., • AWS Kiro: Exposure to or experience with AWS Kiro for AI-assisted development., • ZScaler: Understanding of ZScaler for secure access and zero-trust network architectures., • Additional Languages: Experience with Java or Kotlin., • Messaging/Streaming: Experience with Kafka or AWS Kinesis., • Serverless: Experience with AWS Lambda and serverless architectures., • Monitoring & Observability: Familiarity with AWS CloudWatch, X-Ray, or third-party monitoring tools., • Agile Methodologies: Experience working in Agile/Scrum development environments. Compensation: Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay for this position ranges from $120,000/year in our lowest geographic market up to $160,000/year plus bonus in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.

Ampace (新能安) is a global battery-technology company specializing in lithium-ion cells and systems for energy storage, data centers, and critical power. Our R&D pairs advanced cell chemistry with semi-solid-state technology to deliver safe, high-performance batteries at scale. This position is based at our R&D center in Xiamen, China. Responsibilities: 1. Develop hybrid physics-ML models that predict and optimize cell energy density, cycle life, and thermal behavior., 2. Map core design parameters — coating loading, calendering pressure, electrode porosity — to electrochemical fields such as liquid-phase diffusion, solid-phase overpotential, and heat flux., 3. Extend electrochemical mechanistic models and fuse them with machine learning (physics-informed neural networks, neural operators) into fast multiphysics surrogate models., 4. Lead inverse-design using active learning and Bayesian optimization to cut physical trial-and-error and the number of DOE runs., 5. Design and maintain versioned, high-concurrency simulation data pipelines and an MLOps workflow. Requirements: 1. PhD in Computer Science, Applied Mathematics, Physics, Mechanical Engineering, or a related quantitative or computational field; strong Python and industrial-grade ML/DL project experience on physical or engineering data., 2. Electrochemical mechanistic modeling (SPM, P2D/DFN) or thermal simulation; PyBaMM, COMSOL, or ANSYS a plus; deep understanding of energy-density calculation and aging mechanisms such as lithium plating and SEI growth., 3. Mechanism-ML hybrid methods (PINNs, neural operators, surrogate solvers); Bayesian inference, uncertainty quantification, Bayesian optimization, and active learning; MLOps tooling (DVC, LakeFS, MLflow, W&B) a plus. 新能安（Ampace）是一家全球领先的电池科技企业，专注于锂离子电芯及电池系统的研发与制造，产品广泛应用于储能、数据中心及关键电源等领域。公司结合先进的电芯化学体系与半固态电池技术，致力于打造兼具高安全性、高性能和规模化生产能力的电池产品。 本岗位工作地点位于中国厦门研发中心。 岗位职责 • 开发融合物理机理与机器学习的混合模型，用于预测和优化电芯能量密度、循环寿命及热性能。, • 建立涂布载量、辊压压力、电极孔隙率等核心设计参数与液相扩散、固相过电位、热流密度等电化学场之间的映射关系。, • 基于电化学机理模型进行扩展开发，并结合机器学习方法（如物理信息神经网络（PINNs）、神经算子等），构建高效的多物理场代理模型。, • 基于主动学习（Active Learning）和贝叶斯优化（Bayesian Optimization）开展电池反向设计，减少实验试错成本及DOE（实验设计）次数，提高研发效率。, • 设计并维护支持版本管理、高并发计算的仿真数据平台，建立并持续优化MLOps开发与部署流程。 任职要求 • 计算机科学、应用数学、物理学、机械工程或相关计算类专业博士学历；熟练掌握Python，具备工业级机器学习或深度学习项目开发经验，有物理或工程数据建模经验。, • 熟悉电化学机理建模（如SPM、P2D/DFN模型）或热仿真，具有PyBaMM、COMSOL、ANSYS等工具使用经验者优先；深入理解电池能量密度计算方法及锂析出（Lithium Plating）、SEI膜生长等老化机理。, • 熟悉机理模型与机器学习融合方法，如物理信息神经网络（PINNs）、神经算子（Neural Operators）、代理模型（Surrogate Model）等；具备贝叶斯推断、不确定性量化、贝叶斯优化、主动学习等相关经验；熟悉DVC、LakeFS、MLflow、Weights & Biases（W&B）等MLOps工具者优先。

*W2 Contract* Sr. Search Engineer/Tech. Lead Remote work – Highest preference for candidates from Charlotte, NC, OR Corning, NY OR East Coast 6 months, extendable for long-term Scope of Position: • Lead the design, build, tuning, and operation of the search layer for Corning.com., • The role delivers secure, grounded, and supportable conversational search using Lucidworks Fusion or a comparable enterprise search platform, with an initial single-turn answer experience followed by multi-turn conversational search., • Translate customer and business needs into scalable index and query pipelines across web, content, commerce, and AI platforms., • This contract role is an alternative to external professional services and requires hands-on technical delivery as well as solution leadership. Core Competencies: Search engineering | Relevance optimization | Conversational AI | RAG and grounding | Systems integration | Production operations | Analytical problem solving | Cross-functional collaboration | Technical leadership Working Relationships: Collaborates with Enterprise Architecture, Digital Experience product owners, AEM/front-end engineering, commerce and product-data teams, AI platform teams, cloud operations, cybersecurity, privacy/legal, analytics, content owners, and implementation partners. Required Education, Experience, and Skills: • Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related discipline, or equivalent practical experience., • 5+ years in search engineering, information retrieval, or enterprise application development, with substantial experience in Lucidworks Fusion or comparable platforms such as Solr/Lucene, Elasticsearch/OpenSearch, Algolia, Vespa, or Azure AI Search., • Hands-on knowledge of schemas, analyzers, tokenization, synonyms, faceting, boosting, filtering, relevance scoring, query debugging, connectors, signals, custom pipeline stages, and REST APIs., • Practical experience with semantic search, embeddings, approximate nearest-neighbor retrieval, neural hybrid ranking, relevance evaluation, RAG, grounding, prompt design, citations, guardrails, and fallback patterns., • Experience with multi-turn context, session design, intent classification, and entity extraction., • Experience deploying or operating search workloads in AWS and Kubernetes, including observability and production troubleshooting., • Proficiency in Java and/or Python, JSON, HTTP APIs, Git, automated testing, and CI/CD., • Ability to convert customer journeys and business requirements into technical designs, backlog items, acceptance criteria, and measurable outcomes., • Clear communication with technical and nontechnical stakeholders; able to work independently, prioritize competing work, resolve ambiguity, and transfer knowledge. Preferred Qualifications: • Lucidworks Fusion 5.x implementation, upgrade, or administration experience in a self-hosted environment., • Experience with Fusion AI, RAY, Learning-to-Rank, Relevance Workbench, Analytics Studio, Commerce Studio, A/B testing, or equivalent capabilities., • Integration experience with AEM as a Cloud Service, commerce, product catalogs, digital assets, or certificate/document services., • Knowledge of Redis or another session store; multilingual search; part-number/SKU handling; permissions-aware retrieval; and structured/unstructured content blending., • Experience in compliance-sensitive or document-intensive environments, plus familiarity with accessibility, privacy, secure AI development, responsible AI, and production monitoring., • Relevant search, cloud, or AI certifications. Best Regards, Amit