Client Financial Rep

Position Type: Regular Your opportunity At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together. Bring your passion for helping people and your drive to make a difference. Our service team plays a vital role in guiding clients toward their goals and delivering experiences that truly matter. You don’t need a finance background; what sets you apart is your commitment to serving others and your eagerness to learn and grow. As a Financial Services Representative, you’ll be the trusted voice on the other end of the line. Answering inbound calls, listening actively, and taking ownership to deliver personalized support. Each interaction is an opportunity to create an exceptional experience through clear, empathetic communication, proactive education, and thoughtful solutions. We’ll support your growth from day one. Through paid training in the Schwab Service Academy, you’ll gain the knowledge and confidence to earn your Securities Industry Essentials (SIE) and FINRA Series 7 & 63 licenses, opening doors to a meaningful career in financial services. If you’re ready to make an impact and build a future you’re proud of, this is where your journey begins. We offer competitive pay and bonus package that includes: Starting compensation of $54,100 during training ($26.01/hr.) plus an annual bonus opportunity of 10% of your base pay and other eligible earnings Potential to increase their total compensation to $61,700 within their 1st year upon obtaining the required licensing and achieving performance-based pay increases: $56,100 base ($26.98/hr.) 10% bonus opportunity depending on individual/corporate performance Evening, overnight, and weekend shifts include up to 20% additional compensation, dependent on shift. What you have We believe great service starts with the right mindset and skills. Successful candidates demonstrate: Requirements: A passion for helping clients and ensuring positive experiences. Ability to convey information clearly and build trust. Openness to feedback and a growth mindset. Problem-solving with confidence and clarity. Understanding and responding to client needs with empathy. Accuracy and thoroughness in every interaction. Working as part of a supportive team and adapting to change. Ability to work 8:00am – 4:30 pm Monday through Friday during Schwab's training program, on-site. After training is complete, the ability to work assigned shift to accommodate business needs to include evening, overnight, and weekend options. Benefits of working evenings, overnight, and weekend shifts include increased compensation and remote work opportunities for qualifying shifts. Your Talent Advisor will walk you through the training schedule, available shift groups, and the shift assignment process during the interview. Example shift groups: Weekend Day Shift (Start between 6:30am-9:30am CST, includes 1-2 weekend days): Potential to work remote after training IF working both weekend days are assigned Weekday Evening Shift (Start 11am-5pm CST, Monday-Friday): In office Weekday Overnight Shift (Start 7:30pm CST, Monday-Thursday): Potential to work fully remote after training Weekend Evening/Overnight Shift (Start at 12pm CST Sat/Sun/Mon or 7pm CST Friday/Saturday/Sunday): Potential to work fully remote after training Preferred qualifications: Previous customer service or client relationship experience. Bachelor’s degree or higher. Campus What’s in it for you At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you – both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance

School Psychologist

School Psychologist – School-Based Services 2026-2027 - School Year Location: Georgetown, SC Schedule: School-Based | Daytime Hours Pay: $52-$57 A Role That Supports Student Well-Being and Academic Success At Care Options for Kids, our school-based School Psychologists play a vital role in supporting the social, emotional, behavioral, and academic well-being of students. This role is designed for professionals who value assessment-driven decision making, collaboration with educators, and advocating for students’ mental health within the school environment. In this position, you’ll assess learning and behavioral needs, support the development of interventions, and contribute to creating positive, inclusive school climates. You’ll collaborate closely with teachers, administrators, and families to ensure students receive the support they need to succeed academically and emotionally. If you’re a School Psychologist looking for a school-based role where your expertise informs both individual student outcomes and broader school practices, this position was designed with you in mind. Care Options for Kids Benefits $60-$65/hour Medical, Dental, and Vision Insurance Life, LTD, and STD coverage Supplemental insurance options 401(k) once eligible Paid Time Off (PTO) Continuing education units (CEUs) Referral program Professional development assistance Discipline-specific mentor Access to an online community of clinicians and school professionals Support That Helps You Succeed in Schools Collaborative school-based team environment Opportunities to conduct assessments and inform intervention planning Ongoing support from clinical and school leadership Resources to support evidence-based psychological practices A role that balances individual student work with systems-level impact Requirements Master’s degree or higher in School Psychology from an accredited institution Active state license to practice as a School Psychologist in SC Experience working in school-based or pediatric settings Strong organizational and time-management skills Ability to manage sensitive information with confidentiality Knowledge of assessment and intervention practices aligned with accepted standards Excellent written, verbal, and interpersonal communication skills Reliable transportation, valid driver’s license, and current auto liability insurance Application Open Through: 7/31/2026 Care Options for Kids is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. RDSBSSC

Senior Software Engineer

At Disney, we’re storytellers. We make the impossible, possible. The Walt Disney Company (TWDC) is a world-class entertainment and technological leader. Walt’s passion was to continuously envision new ways to move audiences around the world—a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences — and we’re constantly looking for new ways to enhance these exciting experiences. The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence. The Global Information Security (GIS) organization strives to secure the magic by employing best-in-class services to assess, prevent, detect, and respond to cyber threats that present risk to The Walt Disney Company. We enable the business by integrating enterprise and business segment-specific supported services to create a robust, efficient, and adaptable cybersecurity program. Our key objectives are to: Secure the Magic by protecting information systems and platforms. Reduce Risk by proactively assessing, preventing, and detecting to prevent harm to the Company and our Guests. Strengthen the business through optimizing execution, application, and technology used to protect the Company. Innovate by investing in core capabilities to enhance operational efficiency. Team Description: Global Information Security (GIS) supports all of Disney’s business segments, including Disney Entertainment & ESPN (DE&E). DE&E encompasses the operations of Disney’s streaming services—Disney, Hulu, and ESPN —as well as Disney’s broadcast and cable networks, including ABC, ESPN, FX, Disney Channels, and National Geographic. DE&E sits at the intersection of entertainment, sports, and technology, striving to connect viewers with beloved stories while advancing the streaming industry with consumer-first innovations. Security professionals supporting DE&E work with industry-leading technologies to deliver world-class, highly secure services to customers. What You'll Do: We are seeking a Sr Software Engineer to design, build, and maintain internal applications and integrations that enhance the organization’s core cybersecurity operations. This role bridges security engineering and software development, focusing on automating compliance, improving risk visibility, and accelerating security workflows through infrastructure-as-code and AI-driven modeling. This role will work closely with compliance analysts, infrastructure teams, and service owners across the enterprise to develop secure, scalable solutions supporting continuous compliance, risk modeling, and operational visibility. Design and develop internal cybersecurity tools and services to support compliance, visibility and risk modeling functions. Build and maintain integrations between legacy, in-house, and cloud-based systems using APIs and SDKs. Implement and manage IaC frameworks to automate security configuration and auditing workflows. Collaborate with compliance teams to translate audit and control requirements (SOX, PCI, etc.) into code-based solutions and enhancements in existing applications. Contribute to data ingestion and analytics pipelines that improve visibility across cloud and on-prem environments. Develop AI/ML models to assist with automated risk categorization, configuration detection, or control validation. Work with DevOps and Security Engineering to maintain consistent RBAC, IAM, and policy enforcement across multi-cloud and Kubernetes environments. Build, document, and maintain runbooks specific to internal APIs, service architecture, and developed frameworks. Stay up to date on cybersecurity trends, industry standards (ISO, NIST, CIS), and regulatory requirements. Provide mentorship and technical guidance to engineers and analysts, ensuring secure design and operational excellence. Required Qualifications & Skills: Minimum of 5 years of experience in software development Experience with modern security tooling, DevSecOps , and AI/ML in cybersecurity Required Knowledge of: AWS: IAM, RBAC modeling, API and SDK-based resource discovery, Systems Manager (SSM) Git & GitHub: version control, branching strategies, and CI/CD pipelines Linux: security models, permissions, and bash scripting SQL: relational data modeling, queries, and integration with back-end systems Programming Languages: Python, C#, and/or Ruby Infrastructure as Code: Terraform Understanding of: Databases: user permission models for MSSQL, MySQL, PostgreSQL, Couchbase, and MemSQL Operating Environments: on-premises, cloud, and Kubernetes-based systems Identity Systems: Active Directory, LDAP, Okta; user lifecycle management and directory integrations Configuration & Deployment Tools: Helm and Salt Security Frameworks: developing control-based automation and integrating security telemetry into compliance and risk modeling functions Preferred Qualifications: Experience with Scala and/or Golang Deep understanding of cybersecurity principles and best practices Strong problem-solving and debugging skills in complex distributed environments Ability to translate security and compliance requirements into technical solutions Excellent collaboration and communication skills with cross-functional teams Strong sense of ownership and accountability for secure, maintainable code Relevant security certifications such as OSCP, ISC2 CISSP, AWS Certified Security - Specialty, SANS, CEH, etc. are a major plus. Education: Bachelor’s degree in Computer Science , Information Systems, Software, Electronics Engineering, or comparable field of study, and/or equivalent work experience DISNEYTECH The hiring range for this position in Los Angeles, CA is $141,900 to $190,300 per year, in Orlando, FL is $135,200 - $181,200, and in Seattle, WA is $148,700 to $199,400 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Finance Customer Service

Position Type: Regular Your opportunity At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together. Bring your passion for helping people and your drive to make a difference. Our service team plays a vital role in guiding clients toward their goals and delivering experiences that truly matter. You don’t need a finance background; what sets you apart is your commitment to serving others and your eagerness to learn and grow. As a Financial Services Representative, you’ll be the trusted voice on the other end of the line. Answering inbound calls, listening actively, and taking ownership to deliver personalized support. Each interaction is an opportunity to create an exceptional experience through clear, empathetic communication, proactive education, and thoughtful solutions. We’ll support your growth from day one. Through paid training in the Schwab Service Academy, you’ll gain the knowledge and confidence to earn your Securities Industry Essentials (SIE) and FINRA Series 7 & 63 licenses, opening doors to a meaningful career in financial services. If you’re ready to make an impact and build a future you’re proud of, this is where your journey begins . We offer competitive pay and bonus package that includes: Starting compensation of $52,900.00 during training ( $25.44/hr. ) plus an annual bonus opportunity of 10% of your base pay and other eligible earnings Potential to increase their total compensation to $60,390.00 within their 1st year upon obtaining the required licensing and achieving performance-based pay increases: $54,900.00 base ($26.40/hr.) 10% bonus opportunity depending on individual/corporate performance Evening, overnight, and weekend shifts include up to 20% additional compensation, dependent on shift. What you have We believe great service starts with the right mindset and skills. Successful candidates demonstrate: Requirements: A passion for helping clients and ensuring positive experiences. Ability to convey information clearly and build trust. Openness to feedback and a growth mindset. Problem-solving with confidence and clarity. Understanding and responding to client needs with empathy. Accuracy and thoroughness in every interaction. Working as part of a supportive team and adapting to change. Ability to work 8:00am – 4:30pm Monday through Friday during Schwab's training program, on-site. After training is complete, the ability to work assigned shift to accommodate business needs to include evening, overnight, and weekend options. Benefits of working evenings, overnight, and weekend shifts include increased compensation and remote work opportunities for qualifying shifts. Your Talent Advisor will walk you through the training schedule, available shift groups, and the shift assignment process during the interview. Example shift groups: Weekend Day Shift (Start between 6:30am-9:30am CT, includes 1-2 weekend days): Potential to work remote after training IF working both weekend days are assigned Weekday Evening Shift (Start 11am-5pm CT, Monday-Friday): In office Weekday Overnight Shift (Start 7:30pm CT, Monday-Thursday): Potential to work fully remote after training Weekend Evening/Overnight Shift (Start at 12pm CT Sat/Sun/Mon or 7pm CT Friday/Saturday/Sunday): Potential to work fully remote after training Preferred qualifications: Previous customer service or client relationship experience. Bachelor’s degree or higher. Campus What’s in it for you At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you – both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance

Finance Customer Service

Position Type: Regular Your opportunity At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together. Bring your passion for helping people and your drive to make a difference. Our service team plays a vital role in guiding clients toward their goals and delivering experiences that truly matter. You don’t need a finance background; what sets you apart is your commitment to serving others and your eagerness to learn and grow. As a Financial Services Representative, you’ll be the trusted voice on the other end of the line. Answering inbound calls, listening actively, and taking ownership to deliver personalized support. Each interaction is an opportunity to create an exceptional experience through clear, empathetic communication, proactive education, and thoughtful solutions. We’ll support your growth from day one. Through paid training in the Schwab Service Academy, you’ll gain the knowledge and confidence to earn your Securities Industry Essentials (SIE) and FINRA Series 7 & 63 licenses, opening doors to a meaningful career in financial services. If you’re ready to make an impact and build a future you’re proud of, this is where your journey begins. We offer competitive pay and bonus package that includes: Starting compensation of $54,100 during training ($26.01/hr.) plus an annual bonus opportunity of 10% of your base pay and other eligible earnings Potential to increase their total compensation to $61,700 within their 1st year upon obtaining the required licensing and achieving performance-based pay increases: $56,100 base ($26.98/hr.) 10% bonus opportunity depending on individual/corporate performance Evening, overnight, and weekend shifts include up to 20% additional compensation, dependent on shift. What you have We believe great service starts with the right mindset and skills. Successful candidates demonstrate: Requirements: A passion for helping clients and ensuring positive experiences. Ability to convey information clearly and build trust. Openness to feedback and a growth mindset. Problem-solving with confidence and clarity. Understanding and responding to client needs with empathy. Accuracy and thoroughness in every interaction. Working as part of a supportive team and adapting to change. Ability to work 8:00am – 4:30 pm Monday through Friday during Schwab's training program, on-site. After training is complete, the ability to work assigned shift to accommodate business needs to include evening, overnight, and weekend options. Benefits of working evenings, overnight, and weekend shifts include increased compensation and remote work opportunities for qualifying shifts. Your Talent Advisor will walk you through the training schedule, available shift groups, and the shift assignment process during the interview. Example shift groups: Weekend Day Shift (Start between 6:30am-9:30am CST, includes 1-2 weekend days): Potential to work remote after training IF working both weekend days are assigned Weekday Evening Shift (Start 11am-5pm CST, Monday-Friday): In office Weekday Overnight Shift (Start 7:30pm CST, Monday-Thursday): Potential to work fully remote after training Weekend Evening/Overnight Shift (Start at 12pm CST Sat/Sun/Mon or 7pm CST Friday/Saturday/Sunday): Potential to work fully remote after training Preferred qualifications: Previous customer service or client relationship experience. Bachelor’s degree or higher. Campus What’s in it for you At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you – both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance

Senior Machine Learning Engineer - Disney Streaming

Role Location: This is an on-site role requiring 4 days in-person at designated office location. Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you’d love working here: Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. Job Summary: Our team designs and builds models that directly shape the user experience – powering personalization and engagement across our Disney Streaming’s suite of streaming video apps, notably Disney and Hulu. With a strong product mindset and a focus on usability, we ensure every ML-driven product enhances how users discover, interact, and enjoy our experiences. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes. This is an Individual Contributor role. You will be expected to lead recommendation and personalization algorithm research, development, and productionization for product areas, and to coordinate requirements and manage stakeholder expectations with Product, Engineering, and Editorial teams. As an IC, you will also be responsible for helping to set the roadmap for algorithmic work — not only for how to approach product requests for new recommendation features, but for helping to drive larger company objectives in the areas of personalization and recommendations. Responsibilities and Duties of the Role: Algorithm Development and Maintenance: Utilize cutting edge machine learning methods to develop algorithms for personalization, recommendation, and other predictive systems; maintain algorithms deployed to production and be the point person in explaining methodologies to technical and non-technical teams Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets Development Best Practices: Maintain existing and establish new algorithm development, testing, and deployment standards Collaborate with product and business stakeholders: Identify and define new personalization opportunities and work with other data teams to improve how we do data collection, experimentation and analysis Required Education, Experience/Skills/Training: Basic Qualifications 5 years of experience developing machine learning models, performing large-scale data analysis, and/or data engineering experience 5 years writing production-level, scalable code (Python, SQL) 3 years of experience developing algorithms for deployment to production systems In-depth understanding of modern machine learning (e.g. deep learning methods), models, and their mathematical underpinnings Experience deploying and maintaining pipelines and in engineering big-data solutions using technologies like Databricks, S3, and Spark Ability to gauge the complexity of machine learning problems and a willingness to execute simple approaches for quick, effective solutions as appropriate Strong written and verbal communication skills Preferred Qualifications MS or PhD in statistics, math, computer science, or related quantitative field Production experience with developing content recommendation algorithms at scale Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment Familiar with metadata management, data lineage, and principles of data governance Experience loading and querying cloud-hosted databases Experience with: AWS, Databricks Required Education Bachelor’s Degree in Computer Science, Math, Statistics, or related quantitative field disneytech The hiring range for this position in New York, NY is $148,700 - $199,400 per year and in Santa Monica, CA is $141,900 - $190,300. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Licensed Practical Nurse (LPN) - Sign On Bonus

$7,500 sign on Bonus Great Benefits at a Low Cost! Want to make a difference in someone’s life every day? As a nurse with The Laurels of Kent, you will work as part of a team providing skilled nursing and short-term rehabilitation care to our valued guests. If you have patience, compassion and a desire to care for guests in a gentle and empathetic way, you will love this role. The Laurels of Kent offers one of the leading employee benefit packages in the industry. This includes: Health insurance- Medical, Dental and Vision 401K with matching funds Paid time off Paid holidays When you work with The Laurels of Kent, you will join an experienced, hard-working team that values communication and collaboration. Why just work when you can help shape a legacy? Responsibilities The Licensed Practical Nurse (LPN) plans, coordinates, provides and manages nursing care services and health education to nursing home guests. Supervise the care/services provided by Certified Nursing Assistants (CNA)/State-Tested Nursing Assistants (STNA) and other team members who care for guests. Provide safe and accurate medication-related interventions to guests. Assess the health of guests and notify the physician of changes in status. Promptly implement new orders. Select and institute appropriate nursing interventions to stabilize a guest’s condition and/or prevent complications. Contribute to the guest’s assessment (MDS/CAA’s) and the development of a plan of care. Qualifications 1-3 years of experience in a long-term care setting preferred Current Licensed Practical Nurse (LPN) licensure in the state CPR certification or acceptable exemption required About Laurel Health Care Company Laurel Health Care Company (The Laurels) is a national provider of skilled nursing, subacute, rehabilitative and assisted living services dedicated to achieving the highest standards of care. At The Laurels, caring is more than providing excellent medical and guest services. It's also being a companion, and treating each guest with the utmost dignity, respect and compassion. It's what we call "The Laurel Way of Caring

Client Financial Rep

Position Type: Regular Your opportunity At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together. Bring your passion for helping people and your drive to make a difference. Our service team plays a vital role in guiding clients toward their goals and delivering experiences that truly matter. You don’t need a finance background; what sets you apart is your commitment to serving others and your eagerness to learn and grow. As a Financial Services Representative, you’ll be the trusted voice on the other end of the line. Answering inbound calls, listening actively, and taking ownership to deliver personalized support. Each interaction is an opportunity to create an exceptional experience through clear, empathetic communication, proactive education, and thoughtful solutions. We’ll support your growth from day one. Through paid training in the Schwab Service Academy, you’ll gain the knowledge and confidence to earn your Securities Industry Essentials (SIE) and FINRA Series 7 & 63 licenses, opening doors to a meaningful career in financial services. If you’re ready to make an impact and build a future you’re proud of, this is where your journey begins. We offer competitive pay and bonus package that includes: Starting compensation of $54,100 during training ($26.01/hr.) plus an annual bonus opportunity of 10% of your base pay and other eligible earnings Potential to increase their total compensation to $61,700 within their 1st year upon obtaining the required licensing and achieving performance-based pay increases: $56,100 base ($26.98/hr.) 10% bonus opportunity depending on individual/corporate performance Evening, overnight, and weekend shifts include up to 20% additional compensation, dependent on shift. What you have We believe great service starts with the right mindset and skills. Successful candidates demonstrate: Requirements: A passion for helping clients and ensuring positive experiences. Ability to convey information clearly and build trust. Openness to feedback and a growth mindset. Problem-solving with confidence and clarity. Understanding and responding to client needs with empathy. Accuracy and thoroughness in every interaction. Working as part of a supportive team and adapting to change. Ability to work 8:00am – 4:30 pm Monday through Friday during Schwab's training program, on-site. After training is complete, the ability to work assigned shift to accommodate business needs to include evening, overnight, and weekend options. Benefits of working evenings, overnight, and weekend shifts include increased compensation and remote work opportunities for qualifying shifts. Your Talent Advisor will walk you through the training schedule, available shift groups, and the shift assignment process during the interview. Example shift groups: Weekend Day Shift (Start between 6:30am-9:30am CST, includes 1-2 weekend days): Potential to work remote after training IF working both weekend days are assigned Weekday Evening Shift (Start 11am-5pm CST, Monday-Friday): In office Weekday Overnight Shift (Start 7:30pm CST, Monday-Thursday): Potential to work fully remote after training Weekend Evening/Overnight Shift (Start at 12pm CST Sat/Sun/Mon or 7pm CST Friday/Saturday/Sunday): Potential to work fully remote after training Preferred qualifications: Previous customer service or client relationship experience. Bachelor’s degree or higher. Campus What’s in it for you At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you – both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance

Technical Staff, Storage Architect

Technical Staff-Storage Architect From applied research to advanced engineering, the Engineering Technologist team has the expertise to shape ground-breaking products, material and processes. It’s a fascinating field of work. We’re involved in assessing the competition, developing technology and product strategies and generating intellectual property. We lead technology investigations, analyze industry capabilities and recommend potential acquisitions or vendor partner opportunities. Our insights influence product architecture and definitions. And we work with colleagues across the business to ensure our products always lead the way.Join us to do the best work of your career and make a profound social impact as a Technical Staff-Storage Architect on our Engineering Technologist Team in Round Rock, TexasWhat you’ll achieve Participate in the development of next-generation large-scale AI Infrastructure to include accelerated compute, AI Fabric and AI optimized storage. Engage with high profile AI customers to optimize solutions for their applications and tune systems for maximum performance. Drive innovation at datacenter level with liquid cooling technologies and power density.You will:- Serve as the technical leader interfacing with enterprise customers to define architectures, understand workload requirements, and translate them into comprehensive solution designs. Architect AI-optimized storage and data management solutions integrating optimized, scale-out file, object, and parallel filesystem SDS technologies.‑optimized storage and data management solutions integrating scale‑out file, object, and parallel filesystough compute, storage, networking, data security, and datacenter deployment (L10–L12)- Develop and propose solution configurations, BOMs, and SKUs based on customer needs in collaboration with Engineering and engage with strategic technology partners to co-innovate and build differentiated solutions.- Lead investigations new fabric technologies, and storage platforms to support large‑scale AI deployments. Serve as a technical escalation point for complex development chall

Sr Software Engineer - AI and Observability

Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you’d love working here: Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. The Observability & Insights group ensures that Disney Streaming’s distributed systems are reliable, performant, and transparent. We build the telemetry, dashboards, alerting, insights pipelines, and developer experience tooling that enable engineers across the organization to understand system health and take action quickly. Job Summary: As a Senior Software Engineer (P3), you will lead the design and implementation of intelligent, AI-driven systems that safeguard the reliability and performance of Disney’s global streaming ecosystem. You will be a technical leader in developing agentic systems, complex machine learning models, and high-throughput real-time pipelines that transform massive telemetry and log datasets into automated detection, root cause analysis, and proactive insights. In this role, you will own the architectural vision for autonomous agents capable of reasoning over complex system behaviors across Disney, Hulu, and ESPN. You will act as a bridge between engineering, product, and platform teams, translating high-level business needs into scalable AI solutions that reduce operational overhead. As a P3 engineer, you are expected to deliver mission-critical features, mentor junior engineers, and drive engineering excellence through rigorous design reviews and high-quality, production-ready code in a fast-paced, AI-native environment. Responsibilities and Duties of the Role: Own the design and operation of production-grade, intelligent systems leveraging real-time signals and AI-driven detection to ensure the health of critical services and premium customer experiences. Lead the development of agentic AI systems powered by modern foundation models (e.g., Claude Opus/Sonnet, GPT-4). You will define the strategy for automated reasoning, decisioning, and predictive modeling for global-scale system reliability. Oversee the creation of end-to-end data pipelines that process high-volume telemetry and user signals into actionable, automated insights and root cause analysis. Design and maintain scalable APIs and microservices that provide explainability and predictive signals to cross-functional engineering and product stakeholders. Partner with leadership and cross-functional teams to embed intelligence into global workflows (incident response, release validation), significantly reducing Time-to-Detect (TTD) and Time-to-Resolve (TTR). Promote engineering best practices, provide technical guidance through code and design reviews, and drive innovation in observability and developer productivity through applied AI. Required Education, Experience/Skills/Training: Basic Qualifications 5 years of applicable experience in backend development, with a proven track record of building and scaling AI-powered or data-driven applications. Advanced proficiency with modern models (GPT-4/o1, Claude Opus/Sonnet, Bedrock), including deep experience in prompt engineering, model evaluation, and building complex agentic workflows using frameworks like LangChain or LangGraph. Minimum 3 years of hands-on experience deploying and monitoring ML systems (PyTorch/TensorFlow) and large-scale data processing (PySpark, Pandas) in production environments. Strong experience with AWS ecosystem and containerization (Docker, Kubernetes) at scale. Proven ability to lead technical projects, mentor junior talent, and champion software development best practices (Git, CI/CD, Agile). Expert level use of AI-assisted development tools (e.g., Cursor, Claude) to accelerate team velocity and maintain high code quality. Exceptional communication skills with the ability to navigate ambiguity and explain complex AI/technical concepts to both technical and non-technical partners. Preferred Qualifications Experience implementing observability and monitoring systems for high-volume, low-latency production environments. Experience with modern databases and observability platforms (Datadog, Grafana, Conviva, MongoDB) handling billions of events. Advanced knowledge of distributed systems, microservices architecture, and API design patterns. Education Bachelor’s degree in Computer Science, Engineering, or equivalent experience disneytech The hiring range for this position in New York City, NY is $148,700 - $199,400 per year, and in Glendale, CA is $141,900 - $190,300 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Advanced Med Surg Clinical Instructor (Night Shift)

Come care with us at West Coast University! As a Nursing Faculty member for a certified Great Place to Work, you will guide nursing students to do more than change their own lives – you will help change the lives of every patient they treat throughout their career in healthcare. At West Coast University you will have the opportunity to share your success story with the next generation of nurses as a key member of our student-centered, innovative community! You will make an impact by: Serving as a mentor, role model and facilitator who provides guidance and academic support for students. Demonstrating enthusiasm for teaching, the teaching/learning process and for individual students. Applying your skills and experience to your assigned teaching schedule. Participating in and contributing to assessment activities of courses/curriculum and programs via a continuous improvement plan set forth by the University. Regularly contributing to improvement of class materials and syllabi within prescribed shared governance culture. Utilizing a variety of teaching methodologies to instruct students, always with intent to facilitate observable evidence of student fulfillment of prescribed learning outcomes. Maintaining scholarly activities. Participating in professional growth and service in accordance with university policies. Advancing our commitment and focus on the students we serve, and their success as healthcare professionals. Fully leveraging our innovative technologies and resources, such as our Simulation and Innovation Labs. *If working with students in a Clinical setting you will: Assume complete responsibility for students in clinical facilities. Clarify clinical expectations with students. Clarify student placement and expectations with clinical facility staff. Utilize care planning time to direct students to available resources needed for clinical preparation. Assess student knowledge and skill level to ensure safety and optimal care to patients. Utilize pre- and post- conference to allow students an opportunity to share learned experiences, ensuring clarity of the correlation between weekly theory content with clinical objectives and experiences. Provide feedback of clinical performance immediately after observation of event and of overall performance at midterm and end of semester. Your Experience Includes: Working knowledge of Microsoft Office Suite Products, especially Outlook, Word, PowerPoint and other MS office products as needed. Working with online learning management systems to further engage the student learning process. Compliance with state, federal and local laws/regulations relating to programs, governmental compliance, and other regulatory standards such as state Board of Nursing. Clinical RN - Must have a minimum of two (2) year’s prior experience as a registered nurse providing direct patient care and have a minimum of one year experience in the field in which they teach. Education: Education and experience must align with state regulations and comply with the rules and regulations of state authorization agencies. Master’s degree in nursing Professional nurse licensure required. Do you want a career that allows you to make a difference in other people’s lives? Discover what it means to truly believe in the work that you do at West Coast University. At West Coast University, we have the privilege of educating students seeking careers in healthcare and guide them through their transformational journey from student to caregiver. Our associates are united behind that purpose and share a deep commitment to our values of teamwork, collegiality, transparency, and a student-centric approach to all we do. This focus creates an aligned, nimble, and consensus-driven culture that is solution-oriented and supports our associates’ professional growth. West Coast University is proud to be an equal opportunity employer. We embrace diversity and are dedicated to creating an inclusive environment for all associates. Campus: WCU Orange County Campus La Palma Function: Faculty