53 jobs found

EBMUD Job Title: Senior Information Technology Engineer, IT Security (IT/OT Firewall Administration) Salary Info: $157,488 - $191,424 Annually, Plus Excellent Benefits + Retirement Opens online at on Monday, July 27, 2026 Online applications must be received by 4:30 p.m., Friday, August 14, 2026 The East Bay Municipal Utility District's (EBMUD) Information Systems Department is currently seeking a Senior Information Technology Engineer with deep experience administering firewalls in mission-critical, highly available enterprise environments. The role focuses on securing both internal and perimeter networks, supporting business continuity and strengthening cyber resilience across business networks (IT) and operational technology networks (OT) and the implementation and oversight of cybersecurity policies, standards, and best practices. Applicants must reside within commuting distance of EBMUD's Oakland, CA Administration building. This is a hybrid position which requires office presence in accordance with EBMUD's telecommuting guidelines (minimum 2-day per week physical office presence currently required but is subject to change). Telecommuting policies are subject to change. EBMUD will not provide relocation assistance. We are seeking candidates with advanced IT/OT security experience and skills. Experience is desired in three or more of the following disciplines: At least five years of hands-on experience administering firewalls in enterprise-scale, high-availability production environments, including policy management, troubleshooting, and rule lifecycle maintenance. Experience with enterprise-grade firewalls: e.g. Palo Alto Networks, Cisco, FortiNet, Checkpoint. Expertise in troubleshooting network issues. Solid understanding of TCP/IP protocols. Experience configuring, supporting and managing routing- BGP, OSPF, EIGRP, static. Experience with analyzing firewall logs and packet captures. Experience managing virtual firewalls in AWS, Azure and/or GCP. Understanding of IAAS concepts. Experience implementing and supporting ssl-inspection in a production environment. Experience managing VPN's: IPSEC site to site and end user remote access. Experience working with firewall policies, implementing changes, testing changes, submitting changes through change control processes. Experience with automating firewall rule analysis or change workflows using scripts or APIs is a plus. And the ability to: Create and maintain network diagrams and documentation for new and existing firewall deployments- depicting logical and physical environments. Communicate complex topics to non-technical users. Ability and willingness to share knowledge and information with others. Create documentation detailing implementation steps, tracking changes. Work across teams to investigate and respond to incidents. Lead or participate in IT/OT security projects by creating project plans and technical requirements. Track and report on incident handling and response metrics. Participate in annual tabletop cyber incident response exercises. Establish and maintain positive working relationships; teamwork attitude. Balance project deliverables among day-to-day operational demands. Perform independent research and share knowledge effectively. Maintain calm and focus during emergency operations. Work in a hybrid work environment. The most competitive candidates for the Senior IT Security Engineer position will possess strong working knowledge of firewall administration in a highly available production environment; networking experience; threat intelligence; experience in critical infrastructure-including ICS/OT firewall management; and project management principles and practices and cybersecurity best practices. Your experience will include demonstrated success working in many of the following areas: Experience managing firewall changes including: NAT, routing, VPN, access policies, troubleshooting, deployment, upgrades. Experience reviewing, analyzing and responding to firewall alerts: security and operational. Ability to perform and analyze network captures utilizing wireshark. Experience working within a ticketing system to track requests, changes, approvals Experience participating in Blue/Red team exercises. Log and systems analysis, troubleshooting, documentation techniques and procedures. Change control concepts and procedures supporting a production environment. Knowledge of network based attack methods and defense: DDOS, C2, data exfiltration, brute-force attacks, OWASP, etc. Familiarity with Industrial Control Systems (ICS) and Operational Technology (OT) environments is a plus. Project management. The salary range is $13,124 per month increasing to $13,780, $14,469, $15,192, and $15,952 after 6, 18, 30, and 42 months, respectively. EBMUD is an Equal Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, religious creed, sex, gender, gender identity, gender expression, marital or registered domestic partnership status, age for individuals over forty years of age, national origin, ancestry, disability (mental or physical, including AIDS and HIV), medical condition (cancer and genetic characteristics), genetic information, sexual orientation, military and veterans status, family or medical leave status, pregnancy, pregnancy disability leave status, or any other status protected by federal, state and/or local laws. Requirements: 1. A bachelor's degree; and 2. Two years of experience in information technology engineering, one year of which was at a level comparable to or higher than the EBMUD class of Information Technology (IT) Engineer II. 3. Willingness to participate in a rotating on-call schedule to support 24/7 network security operations, including incident response and critical issue resolution. 4. Overtime will be required on an as needed basis. Working environment is indoors and may require sitting for prolonged periods of time and repetitive hand motions. Additional years of experience (beyond the minimum requirement) may be substituted for the education on a year for year basis, only if the experience is at the level of the job for which the applicant is applying. (i.e., Four additional years of experience, at the level of the Senior IT Engineer classification, will be considered equivalent to a bachelor's degree). A graduate level degree in a directly related field may be substituted for one year of experience. To be considered under the "equivalent combination of education and experience" provision, it is your responsibility to include in your application materials written evidence of employment performed at the level of the typical duties of this position and/or coursework in subject areas directly related to this position. For more information, see our FAQ page at Submit a completed EBMUD application and the required supplemental questions responses online at by 4:30 p.m., Friday, August 14, 2026. Only application materials submitted online during the filing period will be accepted. EBMUD is an Equal Opportunity Employer: Females/Minorities/Veterans/Disability Job Hotline:

City/State Richmond, VA Work Shift Multiple shifts available Overview: Sentara is hiring a Senior Business System Analyst! This position is fully remote. Work Location: Remote opportunities available in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington (state), West Virginia, Wisconsin, Wyoming Overview This position is responsible for support, enhancement and implementation software applications used within the organization. Oversees and directs intermediate scale projects or components of large-scale projects; develops project plans and timelines and coordination of project resources. Description Incumbent will identify opportunities to leverage technologies in areas that improve and enhance the business practices by designing and implementing application/product enhancements. Works with and is a liaison to customers and end-users, appropriate IT personnel and software vendors on a regular basis to align technology functionality to operational processes. Assess, research, analyze, and document stakeholder needs, selecting the appropriate information gathering and/or modeling technique to elicit requirements. Develop detailed test cases, execute them, and share results with business and tech managers for approval. Work jointly with developers to solution and provide cost and time estimates on fixes and enhancements. Performs longer term analysis and design of systems and hardware to maintain the production environments. Synthesize requirements and develop recommendations that best meet the objectives of the business. Works on project teams that are developing or modifying very complex information systems. Responsibilities Serve as the primary liaison between business units, IT groups, and external partners regarding Enrollment and Eligibility processes, with a focus on EDI 834 file exchanges Elicit detailed requirements from stakeholders for the onboarding and maintenance of EDI 834 transactions Analyze, map, and document data flows, business processes, and system interfaces-particularly for enrollment and eligibility functions Review and validate inbound and outbound EDI 834 files to ensure data integrity and compliance with industry and regulatory standards Utilize methodologies such as Agile, Waterfall, and SDLC to manage and support projects related to enrollment and eligibility Develop and execute SQL queries for data analysis and troubleshooting of EDI 834 transactions and enrollment data Identify and mitigate operational and technological risks associated with enrollment file exchanges and eligibility processing Lead testing, troubleshooting, and enhancement activities for enrollment systems and EDI integrations Build and maintain strong relationships with internal teams and external partners (e.g., plan sponsors, TPAs) Proactively identify opportunities for business process improvement and innovation within enrollment and eligibility operations Drive initiatives to increase customer satisfaction by streamlining EDI processes, enhancing data accuracy, and optimizing workflows Evaluate project team performance and ensure objectives, targets, and timelines for enrollment and eligibility enhancements are consistently met Oversee the design and implementation of new enrollment-related solutions and assess their impact on customer satisfaction and operational efficiency Create and distribute monthly performance and operational analysis reports using Tableau, Excel, and other analytic tools Stay informed of regulatory changes and industry trends regarding EDI 834, HIPAA, and member enrollment Provide training and guidance to junior analysts and business units on EDI 834 standards and enrollment practices Education Bachelor's degree preferably in a field such as Computer Science, Business, Technical, Education, Information Systems, Finance, Business Administration, Accounting, Engineering, Information Technology (Required) or Candidates without a bachelor's degree with 6 or more years of relevant experience may be considered. Experience: 4 years of relevant experience (Required) Proficiency in SQL, HTML, and CSS (Preferred) Must have experience working in SQL Understanding of Software Development Life Cycle Nice to have experience working in Salesforce, QNXT, Edifecs We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for full-time employment is: $69,876 - $116,438. Additional compensation may be available for this role, such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities Talroo-health plan, Member enrollment, EDI-834, project management, inbound, member eligibility, QNXT, Facets, SQL, reporting, queries, enrollment, Medicaid, commercial, health plans, HIPAA, Salesforce Benefits: Caring For Your Family and Your Career • Medical, Dental, Vision plans • Adoption, Fertility and Surrogacy Reimbursement up to $10,000 • Paid Time Off and Sick Leave • Paid Parental & Family Caregiver Leave • Emergency Backup Care • Long-Term, Short-Term Disability, and Critical Illness plans • Life Insurance • 401k/403B with Employer Match • Tuition Assistance - $5,250/year and discounted educational opportunities through Guild Education • Student Debt Pay Down - $10,000 •Pet Insurance •Legal Resources Plan •Colleagues have the opportunity to earn an annual discretionary bonus ifestablished system and employee eligibility criteria is met. Sentara Health is an equal opportunity employer and prides itself on the diversity and inclusiveness of its close to an almost 30,000-member workforce. Diversity, inclusion, and belonging is a guiding principle of the organization to ensure its workforce reflects the communities it serves. In support of our mission "to improve health every day," this is a tobacco-free environment. For positions that are available as remote work, Sentara Health employs associates in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.

We are a mission-driven technology startup transforming the way in-home care is delivered through innovative AI solutions. Our platform unifies signals from cameras, sensors, wearables, and connected devices to turn raw data into secure, real-time insights and closed-loop care actions; giving families peace of mind, seniors dignified independence, and providers the tools to deliver safer, more proactive care. We're a small, mission-driven team tackling one of the most important challenges of our time: helping people age safely and independently at home. If that excites you, we'd love to have you join us. ABOUT THE ROLE: We need a Technical Product Manager who can be our in-house lead, someone who partners with our existing AI engineer contractors to keep building, rather than just handing off specs and waiting. This isn't a traditional PM role. You'll be embedded across our portfolio of vertical businesses, working directly with contractors and teams, moving between projects as priorities shift. You'll own both the technical product thinking and the hands-on execution of prototypes, MVPs, internal tools, and integrations, especially in the early, resource-light stages before a project has its own dedicated engineering team. As the team grows, this role is expected to evolve into hiring and managing other builders - so we're looking for someone who can operate as a strong senior individual contributor now and step into people leadership as the portfolio scales. Reporting directly to the CEOå and Head of Product, you'll evaluate priorities, identify tradeoffs, and provide recommendations on product direction, technical decisions, and resource allocation across multiple initiatives. While the CEO retains final decision-making authority, you'll provide the analysis, recommendations, and operational leadership needed to keep projects moving efficiently and effectively. As our portfolio grows, this role will evolve from a senior individual contributor into a people leadership position. You'll help define and build the product function, with the opportunity to hire, mentor, and lead additional builders as the organization scales. WHAT YOU'LL OWN: Product Strategy Across Multiple Projects Partner with business unit leads to define product direction, technical scope, and priorities - often for ventures still finding product-market fit. Translate ambiguous, early-stage ideas into clear requirements, PRDs, and success metrics. Prioritize building now vs. later, given that resources are shared across the portfolio and every project is competing for the same attention. Support in building technical narratives for decks and funding rounds Hands-On Building Personally build MVPs, prototypes, and early product versions - this may mean writing code, configuring no-code/low-code tools, or standing up integrations, depending on the project. Ship fast, validate with real users or data, and iterate - favoring working software over polished documentation. Build the internal tools and lightweight automation that let small or nonexistent teams punch above their weight. Working Across a Portfolio Move between 2-4 active projects at a time, context-switching without losing momentum on any of them. Standardize just enough process (documentation, handoff notes, basic architecture decisions) that a project can survive you rotating off it. Identify patterns and reusable components across business units - no reason to rebuild the same login flow or admin panel five times. Communicate clearly and frequently with non-technical stakeholders who may not have visibility into the technical details. Judgment & Prioritization Triage constantly: with limited time and sometimes no dedicated team per project, you decide what gets your attention this week. Push back on scope creep and unrealistic timelines when a project's ambitions outpace its resourcing. Recognize when projects require additional resources and proactively recommend solutions. Validate the work and technical quality of our offshore teams Growing the Function As the portfolio scales, help define and build out the builder/product function - potentially hiring and managing additional Technical PMs or product engineers. QUALIFICATIONS: Required 6+ years in product management or a hybrid product/engineering role, with direct, hands-on building experience (not purely spec-writing) - scripting, front-end/back-end development, no-code platforms, or technical prototyping all count. Comfortable working on multiple unrelated projects simultaneously, often with incomplete information and no dedicated team. Strong technical fluency: able to read code, understand system architecture, and make informed build/buy/integrate decisions. Experience taking a product from zero to a working first version, ideally in an early-stage or startup environment. Excellent written and verbal communication - you'll be the connective tissue between technical execution and business stakeholders who don't share your context by default. Preferred Prior experience at a startup studio, venture builder, holding company, or multi-brand/multi-subsidiary organization. Familiarity with traditional engineering and AI no-code/low-code tools (Experience standing up projects that were later handed off to dedicated engineering teams. Background in a technical discipline (CS, engineering) or equivalent self-taught technical depth. Exposure to robotics; IoT is a nice-to-have, not a requirement. WHAT SUCCESS LOOKS LIKE: Multiple projects have working, validated product versions that started as your prototypes or the support you've given other builders. Business unit leads trust you to make the right call on scope and priority without hand-holding. Projects you've rotated off of continue running smoothly because you left them in a maintainable state. Leadership has a clear, current picture of which projects are gaining traction and which need investment or should be sunset, informed by your product judgment. You've laid the groundwork to bring on and manage additional builders as the portfolio grows. A NOTE TO FIT: This role suits someone who gets energy from variety and ambiguity, not someone who wants deep, singular focus on one product for years. We value curiosity, ownership, humility, speed, and thoughtful debate. Strong opinions are welcome, and they should be backed by data and a willingness to adapt. The pay range for this role is: 100,000 - 150,000 USD per year(Culver City, CA) PI0bcd93afdb75-4744

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

TriNet is a leading provider of comprehensive human resources solutions for small to mid-size businesses (SMBs). We enhance business productivity by enabling our clients to outsource their HR function to one strategic partner and allowing them to focus on operating and growing their core businesses. Our full-service HR solutions include features such as payroll processing, human capital consulting, employment law compliance and employee benefits, including health insurance, retirement plans and workers' compensation insurance. TriNet has a nationwide presence and an experienced executive team. Our stock is publicly traded on the NYSE under the ticker symbol TNET. If you're passionate about innovation and making an impact on the large SMB market, come join us as we power our clients' business success with extraordinary HR. Don't meet every single requirement? Studies have shown that many potential applicants discourage themselves from applying to jobs unless they meet every single requirement. TriNet always strives to hire the most qualified candidate for a particular role, ensuring we deliver outstanding results for our small and medium-size customers. So if you're excited about this role but your past experience doesn't align perfectly with every single qualification in the job description, nobody's perfect - and we encourage you to apply. You may just be the right candidate for this or other roles. Role Overview As part of the Enterprise Data & Analytics team, the Senior Business Data Analyst - Planning & Modeling is responsible for leading functional analysis and conceptual solution design scenario planning, predictive modeling, and advanced analytics use cases. This role focuses on bridging business-driven modeling needs with technical implementation-partnering with Analytics and business teams to understand modeling methodologies, assumptions, and decisioning requirements, and translating them into scalable, reusable frameworks built on modern data platforms. Acting as the connective layer between model designers, end users, and engineering teams, this role ensures that models are not only analytically sound, but also operationalized as robust, scalable data solutions that drive consistent, enterprise-wide decision-making. Locations Atlanta, Georgia (In Office) Key Responsibilities Scenario Planning & Predictive Modeling Partner directly with model designers and end users to understand how models are constructed, used, and drive decision-making. Translate modeling approaches, assumptions, and workflows into clear functional requirements and structured logic for implementation by engineering teams. Ensure alignment between intended model design, business usage, and technical implementation, maintaining fidelity as models are operationalized. Act as the primary liaison between business stakeholders and engineering, ensuring models are accurately represented, scalable, and reusable within the data platform. Lead requirements discovery and facilitation for modeling use cases. Translate business needs into structured modeling logic and technical requirements (inputs, calculations, outputs). Document assumptions, business rules, and dependencies to ensure transparency and reproducibility. Ensure alignment of decisioning needs and intended model outcomes. Business & Functional Analysis Model Architecture & Data Understanding Define end-to-end model architecture, including: Inputs (source systems, drivers) Transformations and calculation logic Outputs (metrics, KPIs, reporting layers) Analyze and document data flows from source model consumption. Ensure alignment with data governance, lineage, and quality standards. Conceptual & Functional Solutioning Design modeling frameworks and patterns prior to technical implementation. Evaluate multiple approaches (e.g., centralized vs modular models, batch vs near real-time). Identify edge cases, gaps, and constraints that impact model accuracy and usability. Ensure solutions are extensible across multiple business domains and use cases. Delivery Partnership & Execution Support Partner with data engineering to operationalize models in the data lake and pipelines. Act as the functional lead through delivery, supporting build, validation, and UAT. Ensure alignment between business stakeholders and engineering throughout delivery. Validation & Continuous Improvement Perform model validation, reconciliation, and sensitivity analysis. Continuously refine models based on business feedback and evolving assumptions. Identify opportunities to standardize and scale modeling components. Establish best practices for scenario planning and predictive modeling on modern data platforms. Drive adoption of reusable modeling frameworks and patterns. Raise the bar on functional clarity, model documentation, and design quality. Thought Leadership Education Qualifications Bachelor's degree in Finance, Economics, Data Analytics, Information Management, Computer Science, or related field Experience Qualifications 6+ years in business analysis, data analysis, or modeling roles (financial, operational, or analytical). Experience building scenario planning, forecasting, or predictive modeling frameworks. Experience working across Analytics, Finance, and Engineering teams. Experience with modern data platforms (data lakes, pipelines) preferred. Skills & Abilities Strong expertise in scenario planning, forecasting, or predictive modeling. Ability to translate business needs into model logic and technical requirements. Strong understanding of driver-based modeling and dependencies. Familiarity with data platforms, SQL, and data pipelines (ETL/ELT). Strong communication skills across business and technical stakeholders. Experience with BI tools (Power BI, Tableau) preferred. Travel Requirements Minimal Travel Required Work Environment Work in clean, pleasant, and comfortable office. The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable persons with disabilities to perform the essential functions. This position is 100% in office. The preferred location for this role is Atlanta, GA, and the salary range for this location is $70,800.00 to $141,600.00. All qualified external applicants will be considered for an in-office role, based in Atlanta. All qualified internal candidates are encouraged to apply and consider relocation to Atlanta and may be considered for remote hire at the company's discretion. The candidate's final salary offer will be based on the candidate's skills, education, work location and experience. A candidate's compensation may also include bonuses consistent with TriNet's corporate bonus plan. Additionally, subject to applicable eligibility requirements, TriNet offers permanent full-time employees a variety of benefits including medical, dental, and vision plans, life and disability insurance, a 401(K) savings plan, an employee stock purchase plan, eleven (11) Company observed holidays, PTO and a comprehensive leave program. Please click the following link for detailed information about our benefits offerings: Please Note: TriNet reserves the right to change or modify job duties and assignments at any time. The above job description is not all encompassing. Position functions and qualifications may vary depending on business necessity. TriNet is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact to request such an accommodation.

Please note, this position is designated as flexible, which means the selected candidate may be required to report to the assigned office in Greensboro, NC at least part of the time each week. Technical Summary: Supports the definition and execution of enterprise technology standards and architecture governance. Supports the standards lifecycle, governance processes, and reference architectures that guide solution design and investment decisions. Partners across architecture, engineering, security, infrastructure, and delivery teams to ensure alignment with strategy, risk, and operational models. Balances policy with practical, efficient processes to improve decision quality and delivery speed. Job Summary: This individual contributor is primarily responsible for contributing to the development of the IT strategic technology direction, as well as for assisting in the execution of the architecture process for technology solutions with guidance from senior architects. This contributor should fully understand the EA mission. Essential Responsibilities: Completes work assignments and supports business-specific projects by applying expertise in subject area; supporting the development of work plans to meet business priorities and deadlines; ensuring team follows all procedures and policies; coordinating and assigning resources to accomplish priorities and deadlines; collaborating cross-functionally to make effective business decisions; solving complex problems; escalating high priority issues or risks, as appropriate; and recognizing and capitalizing on improvement opportunities. Practices self-development and promotes learning in others by proactively providing information, resources, advice, and expertise with coworkers and customers; building relationships with cross-functional stakeholders; influencing others through technical explanations and examples; adapting to competing demands and new responsibilities; listening and responding to, seeking, and addressing performance feedback; providing feedback to others and managers; creating and executing plans to capitalize on strengths and develop weaknesses; supporting team collaboration; and adapting to and learning from change, difficulties, and feedback. Executes the architecture process for technology solutions with guidance from senior architects as appropriate by collaborating with other architects to develop the target state. Creates solution architectures, roadmaps, and system transition plans to align business, applications, data, integration, and/or infrastructure architecture. Collaborates with project teams and business users to create architecture artifacts (for example, logical, conceptual, physical) to guide detailed design. Helps determine the selection of technologies as requested. Provides input into the development of the architecture strategy and technology direction by providing domain knowledge on solutions and technology. Shares knowledge of current capability gaps, architectural gaps, and market and industry trends that can be used to set future direction. Defines and communicates the architecture standards, guidelines, and statements of direction with guidance from senior architects, as appropriate, by facilitating the design and establishment of architecture standards or controls. Ensures architecture standards or controls allow business needs to be met. Assists in the development and establishment of architectural best practices that guide the design of technology solutions. Collaborates with IT and business leadership and participates in making decisions regarding the adoption of new technology. Demonstrates a full understanding of the architecture best practices for assigned domain(s) and educates others throughout the organization on the function of architecture methodologies, governance, and standards by serving as a subject matter expert across business and/or IT teams, and presenting to internal and external audiences. Minimum Qualifications: Bachelors degree in Computer Science, CIS, Engineering, Business, or related technical field and six (6) years IT experience delivering technical solutions, including at least two (2) years working on projects related to IT architecture. Additional equivalent work experience may be substituted for the degree requirement. Minimum One (1) year experience with modeling techniques (e.g., BPMN, UML, ER). Minimum One (1) year in a technical leadership role with or without direct reports.

GENERAL SUMMARY The Forward Deployed Platform Application Developer builds, configures, tests, and supports user-facing solutions within Skypoint, Salesforce Nonprofit Cloud, and other approved enterprise platforms. This field-facing role works closely with operational users and the Forward Deployed Process Lead to translate workflow and business needs into practical technology solutions, including workflows, automation, AI agents, dashboards, data visualizations, and other user-facing tools that improve efficiency, data quality, and user experience. ESSENTIAL RESPONSIBILITIES Builds, configures, and supports solutions within Skypoint, Salesforce Nonprofit Cloud, and other approved enterprise platforms Develops and maintains workflows, automation, AI agents, dashboards, reports, and user-facing tools Translates operational and business requirements into practical platform solutions in partnership with operational leaders and end users Tests, refines, deploys, documents, and supports platform solutions to ensure usability, reliability, security, and adoption Administers Salesforce Nonprofit Cloud including users, permissions, workflows, reports, dashboards, and automation tools Collaborates with BI, data, and technical teams to support reporting, integration, and data quality requirements Troubleshoots issues and escalates advanced infrastructure, cybersecurity, integration, or data engineering needs as appropriate Supports continuous improvement of workflows, system usability, automation, and user experience across enterprise platforms Follows organizational governance, security, change management, and documentation standards Performs other duties as assigned JOB SPECIFICATION Bachelor's degree in Computer Science, Information Systems, Business, or related field preferred; equivalent experience considered Experience administering, configuring, or supporting enterprise application platforms required Experience with Salesforce administration, configuration, or platform development preferred Experience or strong interest in Skypoint, AI platforms, automation tools, dashboards, analytics, or data visualization preferred Ability to build workflows, automation, dashboards, AI agents, and user-facing tools using low-code or no-code platforms Strong technical problem-solving skills and practical application development mindset Basic understanding of data structures, reporting, integrations, governance, and system-to-system data flow Ability to translate business requirements into effective platform solutions Experience testing changes, troubleshooting issues, supporting users, and documenting configurations preferred Salesforce Administrator or Developer certification preferred Local travel required Healthcare, payer/provider, PACE, senior care, value-based care, or HIPAA experience preferred Covid vaccine preferred. EEO Statement Element Care is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, sexual orientation, protected veteran status, or on the basis of disability. Element Care is committed to valuing diversity and contributing to an inclusive working environment. Compensation details: 00 Yearly Salary PIef07d8c50c1e-5870

We are a mission-driven technology startup transforming the way in-home care is delivered through innovative AI solutions. Our platform unifies signals from cameras, sensors, wearables, and connected devices to turn raw data into secure, real-time insights and closed-loop care actions; giving families peace of mind, seniors dignified independence, and providers the tools to deliver safer, more proactive care. We're a small, mission-driven team tackling one of the most important challenges of our time: helping people age safely and independently at home. If that excites you, we'd love to have you join us. ABOUT THE ROLE: We need a Technical Product Manager who can be our in-house lead, someone who partners with our existing AI engineer contractors to keep building, rather than just handing off specs and waiting. This isn't a traditional PM role. You'll be embedded across our portfolio of vertical businesses, working directly with contractors and teams, moving between projects as priorities shift. You'll own both the technical product thinking and the hands-on execution of prototypes, MVPs, internal tools, and integrations, especially in the early, resource-light stages before a project has its own dedicated engineering team. As the team grows, this role is expected to evolve into hiring and managing other builders - so we're looking for someone who can operate as a strong senior individual contributor now and step into people leadership as the portfolio scales. Reporting directly to the CEOå and Head of Product, you'll evaluate priorities, identify tradeoffs, and provide recommendations on product direction, technical decisions, and resource allocation across multiple initiatives. While the CEO retains final decision-making authority, you'll provide the analysis, recommendations, and operational leadership needed to keep projects moving efficiently and effectively. As our portfolio grows, this role will evolve from a senior individual contributor into a people leadership position. You'll help define and build the product function, with the opportunity to hire, mentor, and lead additional builders as the organization scales. WHAT YOU'LL OWN: Product Strategy Across Multiple Projects Partner with business unit leads to define product direction, technical scope, and priorities - often for ventures still finding product-market fit. Translate ambiguous, early-stage ideas into clear requirements, PRDs, and success metrics. Prioritize building now vs. later, given that resources are shared across the portfolio and every project is competing for the same attention. Support in building technical narratives for decks and funding rounds Hands-On Building Personally build MVPs, prototypes, and early product versions - this may mean writing code, configuring no-code/low-code tools, or standing up integrations, depending on the project. Ship fast, validate with real users or data, and iterate - favoring working software over polished documentation. Build the internal tools and lightweight automation that let small or nonexistent teams punch above their weight. Working Across a Portfolio Move between 2-4 active projects at a time, context-switching without losing momentum on any of them. Standardize just enough process (documentation, handoff notes, basic architecture decisions) that a project can survive you rotating off it. Identify patterns and reusable components across business units - no reason to rebuild the same login flow or admin panel five times. Communicate clearly and frequently with non-technical stakeholders who may not have visibility into the technical details. Judgment & Prioritization Triage constantly: with limited time and sometimes no dedicated team per project, you decide what gets your attention this week. Push back on scope creep and unrealistic timelines when a project's ambitions outpace its resourcing. Recognize when projects require additional resources and proactively recommend solutions. Validate the work and technical quality of our offshore teams Growing the Function As the portfolio scales, help define and build out the builder/product function - potentially hiring and managing additional Technical PMs or product engineers. QUALIFICATIONS: Required 6+ years in product management or a hybrid product/engineering role, with direct, hands-on building experience (not purely spec-writing) - scripting, front-end/back-end development, no-code platforms, or technical prototyping all count. Comfortable working on multiple unrelated projects simultaneously, often with incomplete information and no dedicated team. Strong technical fluency: able to read code, understand system architecture, and make informed build/buy/integrate decisions. Experience taking a product from zero to a working first version, ideally in an early-stage or startup environment. Excellent written and verbal communication - you'll be the connective tissue between technical execution and business stakeholders who don't share your context by default. Preferred Prior experience at a startup studio, venture builder, holding company, or multi-brand/multi-subsidiary organization. Familiarity with traditional engineering and AI no-code/low-code tools (Experience standing up projects that were later handed off to dedicated engineering teams. Background in a technical discipline (CS, engineering) or equivalent self-taught technical depth. Exposure to robotics; IoT is a nice-to-have, not a requirement. WHAT SUCCESS LOOKS LIKE: Multiple projects have working, validated product versions that started as your prototypes or the support you've given other builders. Business unit leads trust you to make the right call on scope and priority without hand-holding. Projects you've rotated off of continue running smoothly because you left them in a maintainable state. Leadership has a clear, current picture of which projects are gaining traction and which need investment or should be sunset, informed by your product judgment. You've laid the groundwork to bring on and manage additional builders as the portfolio grows. A NOTE TO FIT: This role suits someone who gets energy from variety and ambiguity, not someone who wants deep, singular focus on one product for years. We value curiosity, ownership, humility, speed, and thoughtful debate. Strong opinions are welcome, and they should be backed by data and a willingness to adapt. The pay range for this role is: 100,000 - 150,000 USD per year(Culver City, CA) PI3f235fb0e9eb-4744

ManTech International seeks a Senior Systems Engineer to design, integrate, and optimize complex mission systems for U.S. defense and intelligence customers. In this role, you will lead end-to-end system engineering-from requirements and architecture through deployment and sustainment-while ensuring security, scalability, and high availability. You will collaborate with cyber, data, and IT teams, troubleshoot complex issues, support accreditation and compliance, and mentor junior engineers in a mission-focused, innovation-driven environment.

About the job Who we are: Circuit Check is the market-leading provider of automated test systems and test fixtures for complex electronic products for the automotive, military/aerospace, medical, industrial, and computer networking industries. At Circuit Check, we believe that innovation is a must, and that a challenging and robust environment where the work is consistently new and cutting edge is the best way to foster creativity. If you are ready to further your career in a fast-paced, technology driven organization where our test designs impact products that are used by millions of people around the world every day, then we invite you to join us at Circuit Check.Our design staff includes electrical, software, mechanical engineers, and project managers. Our systems are supported by staff throughout the United States, Canada, Mexico, Europe, Malaysia, and China. Primary Objective Lead the strategic development and growth of Circuit Check's most significant customer relationships in the AI/ML data center infrastructure market. Architect and execute multi-year account strategies that drive large-scale program wins, deepen executive-level partnerships, and position the company as the preferred technology partner for hyperscale and enterprise AI customers. This role does not carry a traditional sales quota; compensation includes bonus objectives tied to winning new large customers, capturing major programs, and expanding strategic account revenue. Major Areas of Accountability Strategic Account Leadership Develop and own multi-year strategic account plans for the company's largest AI/ML infrastructure customers, anticipating market shifts and positioning ahead of competitive threats Analyze customer technology roadmaps, capital expenditure patterns, and buying dynamics to identify high-value opportunities across GPU test, thermal management, power delivery, and related segments Serve as the primary executive-level interface with strategic accounts, building trusted advisor relationships with VP and C-suite decision-makers at hyperscale cloud providers, AI chipmakers, and data center operators Take decisive ownership of high-stakes negotiations, complex proposals, and multi-million-dollar program pursuits, differentiating Circuit Check solutions Cross-Functional Program Orchestration Coordinate engineering, product management and operations around customer requirements Partner with Product Line Managers to translate customer insights into product roadmap inputs aligned with AI/ML market direction Drive program management cadence for strategic accounts: pipeline reviews, executive business reviews, win/loss analysis, and quarterly assessments Market Intelligence & Growth Strategy Identify patterns in AI/ML technology adoption, supply chain shifts, and customer investment priorities that create strategic openings for Circuit Check Quantify new market opportunities through analysis of TAM, competitive dynamics, segment profitability, and technology adjacencies; present data-supported recommendations to senior leadership Build and maintain industry relationships across the AI/ML ecosystem, including suppliers, contract manufacturers, analysts, and technology partners worldwide International Business Development Develop and execute customer engagement strategies in key AI/ML hubs, with emphasis on Silicon Valley and Taiwan Navigate international business environments including multi-stakeholder decision processes and cultural dynamics across Asia-Pacific Represent the company at international conferences, trade shows, and executive briefings as an authoritative voice on AI/ML infrastructure Sales Team Collaboration & Mentorship Mentor less experienced sales team members on complex deal strategy, multi-stakeholder navigation, and executive engagement Partner with assigned account team members who maintain day-to-day relationships, providing strategic direction while developing their capabilities Collaborate with Sales Leadership to build playbooks and best practices for pursuing large AI/ML infrastructure programs Education & Experience Bachelor's degree in Engineering (Electrical, Mechanical, or related) required; MBA or advanced technical degree preferred 10+ years of progressive experience in strategic account management, business development, or program leadership in semiconductor, electronic hardware, test & measurement, data center infrastructure, or related technology sectors Track record of winning and managing multi-million-dollar programs with complex, multi-stakeholder customer organizations Strongly preferred: executive-level relationships at hyperscale cloud providers; experience in the AI/ML hardware ecosystem (GPU test/validation, liquid cooling, power distribution, rack-scale integration, or related infrastructure) International business experience preferred, especially in the Taiwan semiconductor ecosystem and/or SE Asian manufacturing Knowledge, Skills & Abilities Strategic & Analytical Thinking Ability to see patterns across complex data, customer behaviors, and market signals - and translate insights into actionable strategies and business cases Rigorous analytical skills: financial models, program economics, pricing structures, and competitive intelligence that inform decision-making Thinks several moves ahead - anticipating customer needs, competitive responses, and market evolution Organizational & Execution Leadership Natural ability to orchestrate multiple moving parts - people, timelines, resources, priorities - across complex programs and matrixed organizations Skilled at configuring cross-functional teams for maximum effectiveness, with the program management discipline to track interdependencies and keep engagements on schedule and budget Presence & Influence Commanding executive presence with confidence to lead negotiations, challenge the status quo, and drive decisions in ambiguous situations Willingness to take charge, confront difficult issues directly, and provide clear direction when the path forward is uncertain Exceptional communication skills - compelling narratives, proposals, and presentations for technical and executive audiences Industry & Technical Acumen Deep understanding of the AI/ML data center ecosystem: GPU architectures, training/inference infrastructure, thermal management, power delivery, rack integration, and test/validation Credible in technical discussions with customer engineering teams while maintaining a business-outcome focus; proficient with CRM platforms (Salesforce preferred) Compensation & Performance Structure This role does not carry a traditional sales quota. Compensation includes a competitive base salary plus bonus objectives tied to: Winning new strategic AI/ML customers and capturing large new programs with existing accounts Growth in strategic account revenue and program pipeline value Program execution milestones and customer satisfaction metrics Location & Travel Requirements Open to remote candidates in the United States, with a preference for candidates in the San Francisco Bay Area, California Travel expected up to 50%, including customer visits throughout the Bay Area, across the US, and periodic international travel to Taiwan and SE Asia Must possess a valid passport and ability to obtain required travel visas Physical Requirements These physical requirements must be performed with or without accommodation: Time split between office/home office, customer sites, and travel Ability to sit for extended periods; bend, reach, stoop, and twist as required Heavy computer use; occasional exposure to manufacturing or lab environments Ability to lift and carry up to 25 lbs This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee. Duties, responsibilities, and activities may change at any time with or without notice. Pay and Benefits This job description reflects management's assignment of key responsibilities; it does not prescribe or restrict the tasks that may be assigned. Base pay is only one element of an employee's total compensation at Circuit Check. Employees (and their dependents in most plans) are covered by medical, dental, vision, basic life, short- and long-term disability and accidental death and dismemberment insurance. Employees are able to enroll in Circuit Check's 401k plan, in which the Company will match 50% of your contributions up to 6% with a maximum contribution. Paid time off includes vacation and sick time along with paid holidays. A summary of benefits can be provided by request via email to . Circuit Check, Inc. is proud to be an Equal Opportunity Employer. We do not discriminate based on identity, race, color, religion, national origin or ancestry, sex (including sexual identity), age, physical or mental disability, pregnancy, veteran or military status, genetic information, sexual orientation, marital status, or any other legally recognized protected basis under federal, state, or local law. Because Circuit Check is a federal contractor, we participate in the E-Verify program in certain locations, as required by law . click apply for full job details

Description: Position Summary The MFM IT team has a long history of delivering and maintaining core business systems in a mid-sized Property & Casualty insurance environment. As we expand our development team and adopt new AI development tools, we are making a deliberate investment in building this capability correctly from the start. As we begin to build agentic AI capabilities within our enterprise system, we are looking for an experienced engineer with strong knowledge of agentic AI systems to help guide this effort. The Senior Agentic AI Specialist will work closely with MFM's Principal Architect, who leads overall platform architecture, and partner with senior developers to design, implement, and improve agent-based solutions. This role will bring specialized expertise in areas where we are still developing depth, including agent orchestration, retrieval pipelines, LLM evaluation, and prompt design. This is an ongoing platform effort, not a one-time project. The work will evolve over time as we expand capabilities, integrate new tools, and improve system quality. Our core systems are built on a Microsoft/.NET stack. As we develop our agentic AI capabilities, we expect to leverage cloud-based tooling (likely within Azure) where appropriate. We are pragmatic about using the right tools for the problem, while maintaining alignment with our existing platform and operational requirements. At Midwest Family we value practical experience, clear thinking, and the ability to apply these skills in a real-world environment. Application Requirements Cover Letter and Resume: Please include the following in your cover letter A description of an AI or agent-based system you have worked on, including your role and how you evaluated quality Your approach to reducing incorrect or unsupported outputs An example of how you supported other developers or teams in adopting AI capabilities Your physical remote work location state Salary expectations Responsibilities: Platform Architecture & Evolution : Provide input into AI-related architecture decisions. Evaluate tools, models, and approaches, and make practical recommendations based on trade-offs and outcomes. Agent Lifecycle Management: Design, build, and maintain agents. Define prompts and configurations, support routing decisions, and monitor performance in production. RAG Pipeline Engineering: Improve retrieval quality by working with chunking strategies, embeddings, search methods, and metadata filtering. Support onboarding of new knowledge sources. Quality & Hallucination Reduction: Help reduce incorrect or unsupported outputs through system design, testing, and monitoring. Apply practical approaches across prompts, retrieval, and model behavior. Evaluation & Testing: Develop and maintain evaluation approaches to measure output quality, including relevance and accuracy. Support regression testing and identify failure patterns. Prompt Engineering: Create and maintain prompts for different agents. Diagnose unexpected behavior and develop reusable patterns where appropriate. Tool Integration: Support integration with internal systems and APIs. Help manage tool access and ensure reliable execution and error handling. Observability & Operations: Contribute to logging, tracing, and monitoring. Support analysis of system behavior, cost, and performance in production. Governance & Configuration: Work with configuration across agents, prompts, and models. Ensure changes are version-controlled and reviewed. Developer Support: Work with other developers to share knowledge, review designs, and establish consistent approaches. Research & Evaluation: Stay current with new models and tools. Evaluate them in a structured way and recommend adoption where appropriate. Requirements: Education & Certification College degree or Programming Certification (preferred) 5+ years of equivalent work experience Required Experience Experience building or working with AI/LLM-based systems in a production or near-production environment Strong understanding of agent-based patterns (ReAct, tool usage, etc.) Experience with retrieval-based systems (RAG), vector stores, or search pipelines Familiarity with evaluating non-deterministic system outputs Experience improving system quality through testing and iteration Strong software engineering skills required. Experience with Python, TypeScript, or C# preferred Ability to work across technologies and integrate AI solutions into an existing enterprise environment Preferred Experience Experience working with multiple LLM providers Familiarity with emerging tools and frameworks in the agentic AI space Experience integrating with enterprise systems and data sources Experience mentoring or supporting other developers Personal Attributes Strategic thinker with strong analytical and problem-solving skills Technically proficient with broad systems knowledge Excellent interpersonal, written, and verbal communication skills Self-directed, collaborative, and highly organized Customer-oriented and able to navigate high-pressure environments Flexible and adaptable in regards to learning and understanding new technologies. Exceptional organizational skills and ability to keep track of multiple projects at a time. Ability to conduct research into software-related issues and products. Technically proficient. Exceptional attention to detail. Ability to work both independently and in a team-oriented, collaborative environment. Work Conditions Remote work environment following core hours 8AM-5PM Central Time Overtime may be required to meet project deadlines or monitor system processes. Sitting for extended periods of time. Dexterity of hands and fingers to operate a computer keyboard, mouse, and other devices. Minimal travel will be required for the purpose of off-site software training and team meetings. Physically able to participate in virtual and in-person training sessions, presentations, and meetings. PI6a59fdda4e68-4236