59 jobs found in Seattle

Job DescriptionJob Description Mentor Technical Group (MTG) provides a comprehensive portfolio of technical support and solutions for the FDA-regulated industry. As a world leader in life science engineering and technical solutions, MTG has the knowledge and experience to ensure compliance with pharmaceutical, biotechnology, and medical device safety and efficacy guidelines. With offices in Caguas, Puerto Rico, and Boston, United States, we serve life sciences clients in six global markets: United States, Puerto Rico, Dominican Republic, Mexico, Germany, Canada, and South America. Under general supervision, the Environmental Monitoring and Sampling Coordinator will perform routine procedures and sampling of environmental monitoring, water systems, and gases in support of Manufacturing Operations; plans and prepare the team schedule to achieve a High Performing Team environment; among other tasks. Responsibilities: Under general supervision, this position will perform routine procedures and sampling of environmental monitoring, water systems and gases in support of Manufacturing operations. Complete logs and reports as required. Reviewing shift personnel vs. capacity requirements to run the sampling process as per the scheduled plan. Plans and organizes the area work to achieve a High Performing Team environment. Ensures that work performed by area team members is accurate, timely, efficient and compliant with corporate policies, SOPs, cGMP regulations, and regulatory agencies regulations (FDA, EMEA). Assures a streamlined and continuous process flow of environmental monitoring and sampling area. Perform environmental monitoring routine sample collection, sample receipt, sample incubation, and downstream results analysis, interpretation, and reporting, according to the SOP's. Will also be responsible for documenting and entering data into applicable GMP forms. Must learn and comply with safety guidelines, GLP, and cGMPs/CFRs which includes, but is not limited to, the maintenance of training records, written procedures and logbooks. Ensure timely completion of testing and tasks as assigned (support). Identify opportunities for continuous improvements. Maintain instrumentation and equipment preventative maintenance and supporting documentation in a cGMP compliant manner. Assist in the implementation of new assay methodologies and the associated instrumentation. Identify and support initiation of Deviations, CAPAs and Laboratory Investigations, as required by the client sponsor and as indicated in established procedures. Determines team schedule, updates schedule's board, communicates daily schedule performance to team members and communicates the shift production information with other shifts supervisor or manager. Provides input in the creation and revision of SOP's, protocols, and related documents to assure compliance with cGMP's, company policies / procedures and documentation practices. Provides support to the area environmental monitoring and sampling reports. Monitors, evaluates and communicates area performance metrics for processes, cost and quality. Maintains accurate tracking records and provides timely feedback to supervisor regarding status of assigned area/tasks. Provides, in coordination with other departments, the guidance and resources to support validation projects, troubleshooting, lots of production, and process optimization. Ensures the application of cGMP compliance with respect to the Team, shop floor and documentation. Review area documentation to ensure it is complete, accurate, error free, and on time delivery. Follow the Puerto Rico Department of Transportation and Public Works (DTOP) regulations and safety standards. Trains the Team on any necessary compliance and quality requirements related with the area or the business. Demonstrated ability to deliver results in a real time environment Attention and dedication to quality. Demonstrated ability to deliver results in a real-time environment Be a team player Ability to work shift hours supporting 24/7 operations Qualifications Requirements/Knowledge/Education/Skills: Bachelor's degree or associate degree & 4 years of directly related experience A minimum of two (2) years in laboratory experience, preferably in the Manufacturing /Pharmaceutical Industry is required. Valid PR Driver's license issued by the Puerto Rico Department of Transportation and Public Works (DTOP) with a clean motor vehicle record (MVR) with no serious infractions in the past 5 years. Experience working in a cleanroom environment. Is highly preferred. Previous experience leading teams, projects or initiatives and/or demonstrated a high level of leadership skills is highly preferred. Strong knowledge and understanding of GMP, regulatory requirements, written procedures, methods and safety guidelines. Knowledge and experience in sampling processes for utilities and viable / non-viable environmental monitoring. Excellent leadership characteristics, accountability and commitment. Good communications, planning, problem solving and interpersonal skills Self-starter and able to make decisions of simple situations at work. Full knowledge of cGMP and EHS practices. Ability to read and comprehend detailed technical information/ directions. Computer Software Skills in Microsoft Office Suite (Word, Excel, Power Point), SAP/ERP, eBR, LIMS, and Trackwise among others.Microsoft office (Word, Excel, Outlook) in a beginner to intermediate level. Ability to work in a team environment, to collaborate and coordinate with internal and external staff at all levels, and to prioritize multiple responsibilities, tasks and projects simultaneously. Good communication skills and presentation skills, (both written and verbal). Organization skills and talent to perform assignments with a high degree of attention to detail. Work in a team environment with the flexibility to work shifts as scheduled (weekends, holidays as required) Intermediate math skills with an ability to calculate with percentages and decimals are required. The ability to understand and interpret both written and oral communication in English is a plus. The COVID-19 vaccine is / may be a condition of employment. Physical Requirements and Working Environment: While performing the duties of this job, the employee is frequently required to stand; walk; sit; bend; stretch; use hands and fingers, with various manipulations; reach with hands and arms; and effectively communicate with others in the workplace, including the ability to make and promptly respond to audible cues and warnings. Work in areas that may have strong magnets. May work in areas with exposure to utility areas (vapor, gasses, high temperature, among others). Must have the ability to work assigned shifts (Day, Night, Weekends, and/or holidays). Require working in and around laboratories and controlled, enclosed, restricted areas, including clean rooms. No make-up, nail polish, and/or jewelry may be worn in the GMP process areas. Ability to fully gowned including head covering, facemask, gloves, plant shoes, safety glasses/goggles, and/or face shield. Ability to wear PPE face covers for pandemics compliance when required. Ability to wear PPE and follow indications for the management of hot water samples. Mentor Technical Group es un empleador que ofrece igualdad de oportunidades y todos los solicitantes calificados recibirán consideración para el empleo sin importar raza, color, religión, sexo, orientación sexual, identidad de género, información genética, origen nacional, estado de veterano protegido, estado de discapacidad o cualquier otro grupo protegido por ley. Mentor Technical Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law. Mentor Technical Group es un empleador que ofrece igualdad de oportunidades y todos los solicitantes calificados recibirán consideración para el empleo sin importar raza, color, religión, sexo, orientación sexual, identidad de género, información genética, origen nacional, estado de veterano protegido, estado de discapacidad o cualquier otro grupo protegido por ley. Mentor Technical Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law.

Job DescriptionJob DescriptionJob Title: IT - Service - Lab Computing Analyst Duration: 06 months with possible extension Office: Seattle, WA Pay rate: $33.70/hr. on W2 Summary: We are looking for a highly motivated Lab Computing Analyst to provide critical support as part of a dynamic lab IT service team. Job Responsibilities: Implement, monitor, and provide technical support of customer laboratory IT environments, typically integrated with instrumentation Implement customer specified benchtop computing design and processes Administer and assures connectivity of customer's Windows based platform Support of the operating system, desktop hardware and peripherals, instrument-controlled software, core desktop applications and imagining of computers Manage On-boarding, retirement, and relocation of equipment Implement Windows based security, including but not limited to: user / group permissions, file / folder permissions, group policies, local security policies, etc. Analyze, identify, and implement enhancements, upgrades and/or solutions to improve the overall support of the desktop platform in a timely manner Ensure adherence to client's corporate policies through periodic reporting and compliance programs Act as the technical support contact for instrument vendor Repair and troubleshoot instrument related computers and escalating issues to the client infrastructure teams Provide technical support for new system validations and change management efforts Create and maintain a physical inventory of lab equipment, PC's, software, and any other information specified by the client Submit weekly Engineer reports to the team lead by COB on the last business day of the week Act as client Liaison for software/hardware related inquiries Participate in client team meetings Provide support across all Enterprise practices as required Demonstrate appropriate use of office equipment/software after training Maintain training and compliance in areas of health and safety, security, environmental and operational aspects of daily activities in the working environment Nothing in this job description restricts management's right to assign or reassign duties and responsibilities of this job at any time. Basic Qualifications: Bachelor's Degree with two plus years of technical experience OR Associates Degree with three plus years of technical experience OR High School Diploma or equivalent with five plus years of technical experience. Excellent customer service skills complimented by an ability to listen to and interpret client requests. Ability to troubleshoot complex technology issues. Strong verbal and written communication skills. Ability to identify, track and complete tasks for multiple projects under prescribed timeframes. Preferred Qualifications: Experience with technologies including Microsoft Office, networking, remote computing and backup systems. Experience with scientific instrumentation Experience in Life Science environment Experience in a validated environment Experience working in GxP, ISO, and FDA compliant facilities. Working Environment: Must be able to work in a laboratory, controlled environments requiring personal protective equipment (e.g., lab coat, safety glasses, etc.) in laboratory. Job pace may be fast and job completion demands may be high. Must be able to remain in a stationary position more than 25% of the time The person needs to occasionally move between labs, corridors, adjoining rooms, and buildings onsite Frequently operate on instruments, objects, tools or controls, which will require regularly bending, squatting, stretching and reaching in order to perform in a service function. Occasionally move or lift up to 25 pounds (potential for occasional lifting of up to 50 pounds). Specific vision abilities required by this position include without limitation, the ability to observe details at close range distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus in order to perform the essential service functions of this position. Occasionally operates a computer and other office machinery, such as a calculator, copy machine, and computer printer. Employee may be required to handle hazardous waste according to local, state, and federal regulations. Duties may include identifying, handling, generating, accumulating, storing and labelling hazardous waste. Potential risk to lab-based hazards including but not limited to extreme temperature, biological materials, and hazardous chemicals. May be required to complete Medical Clearance, Respiratory Protection Training, and Fit Testing to wear a respirator as protection against hazards present in the laboratory environment. About Us: Founded in 2009, IntelliPro is a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. We continue leading global talent solutions with a dynamic presence in over 160 countries, including the USA, China, Canada, Singapore, Japan, Philippines, UK, India, Netherlands, and the EU. IntelliPro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at Compensation: The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more. Additionally, IntelliPro provides a comprehensive benefits package, all subject to eligibility. Powered by JazzHR w2nQUCtrP9

Math Expert (PhD) $80 - $90/hour pay Required Skills advanced mathematics mathematical problem-solving academic writing content review and editing remote team collaboration About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Role Title: Math Expert (PhD) Role Type: Contractor Location: Remote micro1 is engaging Math Experts (PhD) to contribute to an advanced AI training project for a customer. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Scope of Work Develop and provide comprehensive, accurate, and insightful responses to complex mathematics prompts spanning undergraduate and graduate curricula. Review, refine, and deliver "golden responses"-high-quality model answers that exemplify subject mastery for use in AI training. Collaborate with a distributed team of experts to ensure clarity, precision, and educational value in all mathematics content produced. Analyze and interpret intricate mathematical problems, proofs, and concepts, distilling them into structured and accessible explanations. Contribute feedback to improve project guidelines, response standards, and content workflows as the engagement evolves. Adhere to project requirements regarding format, quality, and timeliness of deliverables. Preferred Qualifications PhD in Mathematics or closely related discipline from an accredited institution. Proven track record of academic excellence and subject-matter expertise, especially at the graduate level. Exceptional written and verbal communication skills; ability to articulate complex concepts clearly and succinctly. Experience authoring or reviewing mathematics materials, such as textbooks, exams, problem sets, or journal articles. Familiarity with various branches of pure and applied mathematics. Demonstrated attention to detail and commitment to producing precise, high-quality work. Adaptability and openness to collaborative, iterative feedback in a remote expert network environment.

Software Developer $60 - $120/hour pay Required Skills Python Rust GoLang Full-stack JAVA Node.js Android Development iOS Development About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Software Developer Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Design, implement, and maintain scalable back-end and full-stack applications using Python, Rust, GoLang, Java, or Node.js. Collaborate closely with cross-functional team members to deliver high-quality software solutions that meet evolving business requirements. Write clean, efficient, and well-documented code, following best software engineering practices. Troubleshoot, debug, and optimize existing codebases to improve performance and reliability. Participate in code reviews, technical discussions, and architectural planning to drive continuous improvement. Contribute to the full software development lifecycle, from concept and design to testing and deployment. Maintain clear, concise, and thoughtful written and verbal communication across distributed teams. Required Skills and Qualifications: 3+ years of hands-on experience in software development with one or more of the following: Python, Rust, GoLang, Java, Node.js, Android, IOS or full-stack development (backend or full-stack). Proficiency in building scalable, reliable, and maintainable software systems. Experience working in remote, collaborative, and agile environments. Expertise in modern development tools, version control systems, and CI/CD pipelines. Strong problem-solving skills with keen attention to detail. Excellent written and verbal communication skills, with a high standard for clarity and professionalism. Self-driven, proactive, and able to work independently in a distributed setting. Preferred Qualifications: Experience with cloud platforms such as AWS, GCP, or Azure. Knowledge of DevOps principles and containerization technologies. Background in mentoring or leading small engineering teams.

At Workada, we're not just labeling data, we're helping improve the technology people use every day. Our work creates the examples and feedback that make advanced systems more accurate, consistent, and useful. What You'll Do Evaluate outputs from AI models, text, images, video, and documents against detailed criteria. Assess quality, spot errors and inconsistencies, and write clear, well-reasoned justifications for your judgments. Every evaluation you complete helps these systems perform better in the real world. Who We're Looking For People who write clearly, think critically, and can back up a judgment call with a clear explanation. This role suits people who've done work built around precise written evaluation, UI/UX design, graphic design, photography, video production, editorial or research work, or writing technical specs and requirements. - Strong readers and writers with sound judgment - Comfortable evaluating creative or technical work against a set of criteria - Takes quality seriously and catches what others miss - Can follow detailed written guidelines independently Strong readers and writers with sound judgmentComfortable evaluating creative or technical work against a set of criteriaTakes quality seriously and catches what others missCan follow detailed written guidelines independently Qualifications Technical Requirements What We Offer Remote, flexible contract workClear guidelines and trainingPerformance feedback and opportunities to growA mission-driven team focused on accuracy and quality undefined

Job description: We are in the process of implementing Dayforce and the Test Lead is responsible for planning, coordinating, and overseeing all testing activities for the HR and Payroll system implementation. This role ensures high-quality delivery by defining test strategy, managing test resources, ensuring coverage across all HR/Payroll modules, and collaborating with functional and technical teams. Key Responsibilities: Develop and own the test strategy, test plan, and test approach for the HR and Payroll project. Lead and mentor QA/test team members, assign tasks and monitor workload. Coordinate end-to-end testing cycles including functional testing, system integration testing, end-to-end testing, parallel payroll testing, and user acceptance testing (UAT). Identify test scenarios and test cases covering all HR/Payroll modules such as Core HR, Time & Attendance, Payroll, Benefits, Compensation, Leave Management, and Employee Self-Service. Work closely with HR, Payroll SMEs, Business Analysts, and technical teams to understand requirements, process flows, and system integrations. Track, log, and report defects; lead defect triage meetings with stakeholders. Report test progress, risks, and issues to project leadership and drive mitigation plans. Ensure adequate coverage of integrations with external systems ( third-party benefits providers). Support cutover activities, regression testing, and readiness validations before go-live. Coordinate payroll mock runs, compare results, and validate outcomes. Ensure testing documentation is complete, accurate, and audit ready. Qualifications: Required Skills and Qualifications: Bachelors degree in IT, Computer Science, HRIS, or related fields. 6 - 10+ years of experience in software testing with at least 3 years as a Test Lead. Strong experience testing HR and Payroll systems (e.g. Dayforce, Oracle HCM, Workday, ADP, UKG, PeopleSoft, or similar). Experience testing payroll calculations including tax rules, statutory compliance, benefits deductions, retro payments, overtime, and off-cycle payroll. Solid understanding of HR processes: hire-to-retire lifecycle, compensation, benefits, time tracking, absence management. Experience managing UAT cycles and working directly with HR/Payroll business users. Experience with parallel payroll testing and payroll reconciliation Knowledge of integration testing (APIs, middleware, SFTP interfaces, banking files, GL files). Strong defect management and hands-on experience with tools like Smartsheet, JIRA, SharePoint Excellent documentation skills. Strong leadership, communication, and stakeholder management abilities. Preferred Qualifications: Experience with HR/Payroll implementations or system migrations. Why is This a Great Opportunity: Work for a mission driven organization to help them build a strong HMS system that will set them up for success. This is a highly visible role that will require strong testing/implementation experience, change management skills and ability to effective work cross functionally.

Starbucks is seeking a Senior Software Engineer to design, build, and scale customer-facing platforms that power our global coffeehouse experience. In this role, you'll architect and develop secure, resilient services that support ordering, payments, loyalty, and store operations. You'll collaborate closely with product, design, and operations teams in an agile environment, mentor junior engineers, and champion best practices in testing, cloud, and CI/CD. Join a values-driven company that invests in your growth, offers robust benefits and learning opportunities, and is committed to sustainability, inclusion, and community impact. Responsibilities Design, develop, and maintain scalable, secure software services for customer-facing platforms Collaborate with product, UX, and operations teams to translate business needs into technical solutions Implement and maintain RESTful APIs and microservices in a cloud environment Ensure code quality through automated testing, code reviews, and CI/CD practices Optimize application performance, reliability, and observability in production Mentor and support junior engineers, sharing best practices and guiding technical decisions Contribute to architectural decisions and long-term technical roadmaps Align solutions with Starbucks' values around customer experience, sustainability, and data security Required Skills Java or C Script/Type Script React or similar front-end framework RESTful APIs Microservices architecture Cloud platforms (AWS, Azure, or GCP) Relational and No SQL databases CI/CD pipelines Automated testing Agile/Scrum methodologies

Kaiser Permanente seeks a Sonographer Travel Group specialist to support our healthcare-focused IT and software platforms. You'll collaborate with clinicians and product teams to configure, test, and optimize imaging workflows, ensuring accurate data capture and seamless integration with our systems. Responsibilities include troubleshooting imaging-related issues, documenting requirements, training end users, and supporting feature rollouts. Join a culture of innovation and collaboration, with opportunities to learn, experiment with new tools, and help deliver user-friendly solutions that improve patient care and operational efficiency. Responsibilities Configure and optimize imaging and sonography workflows within IT systems Collaborate with clinicians and product teams to gather and document requirements Ensure seamless integration between imaging platforms, PACS/RIS, and EHR systems Troubleshoot and resolve imaging-related technical issues Support testing, validation, and rollout of new features and enhancements Create and maintain technical and user documentation Train and support end users across multiple locations Monitor system performance and recommend improvements Required Skills Healthcare IT systems Medical imaging workflows PACS/RIS knowledge EHR/EMR integration Requirements gathering Software configuration User acceptance testing Technical troubleshooting User training Documentation

About Brillio: Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction. Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work certification year after year. Lead OR Full Stack Developer Primary Skills React/Typescripts, AWS, Java/Golang/Node/Python Specialization React/Typescripts, AWS, Java/Golang/Node/Python Job requirements Role: Lead OR Full Stack Developer (React, TypeScript, Go/ Java/Python/Node.js, AWS) Years of Experience: 8+ years Note: - This is a permanent hire. No Visa sponsorship is available for this role Location: Hybrid 3 days for these locations Madison, NJ/Manhattan, Greater Boston Area South Florida Area Greater Seattle Area , WA As a consultant within the DE team, you will work with our clients to define their digital strategy and execution roadmap, and design and implement differentiated digital solutions to help deliver measurable value. Job Description: We are seeking a highly skilled, hands-on Lead Full Stack Developer to drive the design, development, and delivery of scalable, cloud-native applications aligned to the Golden Path engineering stack. This role requires strong technical depth across modern frontend engineering, backend services, distributed systems, AWS/GCP cloud platforms, DevOps, observability, automated testing, and AI-assisted engineering practices. The ideal candidate will lead by example, mentor engineers, influence architecture decisions, and own end-to-end delivery of business-critical solutions while ensuring high standards for scalability, reliability, security, performance, maintainability, and operational excellence. Key Responsibilities Lead the architecture, design, and delivery of enterprise-grade full-stack applications across frontend, backend, cloud, and data layers. Build scalable, reusable frontend experiences ( ReactJS, TypeScript, JavaScript , hooks) and robust backend APIs/microservices ( Go, Java, Python, Node.js ), integrated via REST, gRPC, Thrift, and event-driven patterns. Architect cloud-native solutions on AWS with containerized platforms, CI/CD pipelines, infrastructure automation, and monitoring. Own features end to end - from design through deployment, production support, and continuous improvement. Lead technical design discussions, architecture reviews, and code reviews ; drive engineering excellence in testing, security, observability, and performance. Implement comprehensive testing strategies (unit, integration, API, Cypress-based UI regression ) and troubleshoot complex production issues . Mentor junior and mid-level engineers, and collaborate closely with product managers, architects, designers, and business stakeholders. Communicate technical decisions, risks, and trade-offs clearly across technical and non-technical stakeholders. Required Skills & Experience Technical Experience Bachelor's degree in Computer Science, Software Engineering, or equivalent, with 8+ years of full-stack software engineering experience. Deep expertise in ReactJS, TypeScript, JavaScript (hooks, functional components), building scalable, high-performance UIs. Strong backend development in Go, Java, Python, or Node.js - APIs, microservices, and distributed systems ( REST, gRPC, Thrift ; Koa). Solid grounding in system design, distributed systems, scalability, resiliency, and performance optimization. Experience with relational and NoSQL databases (PostgreSQL, MySQL, Aurora, RDS, MongoDB, DynamoDB, Redis). Strong AWS experience (ECS, Lambda, API Gateway, S3, CloudWatch, and similar), plus Docker, Kubernetes, Terraform, and CI/CD (CircleCI). Experience with comprehensive testing (unit, integration, API, UI - Jest/Cypress) and observability/monitoring (Datadog, CloudWatch). Strong understanding of networking and security fundamentals (DNS, authentication, encryption, secure API design). Familiarity with AI-assisted engineering tools (Gemini, Claude Code, GitHub Copilot) and Agile/Scrum delivery. Professional Skills Proven ability to independently own and deliver complex technical initiatives with minimal supervision. Strong analytical, problem-solving, and debugging skills with the ability to break down complex technical challenges. Excellent communication, collaboration, and stakeholder management skills across distributed engineering, product, and architecture teams. Ability to balance engineering excellence with business priorities, delivery commitments, and customer outcomes. Strong mentoring mindset with the ability to guide engineers, raise technical standards, and foster a culture of accountability and continuous learning. Leadership & Communication Lead technical initiatives by influencing architecture decisions, defining implementation approaches, and guiding teams through delivery execution. Partner effectively with cross-functional stakeholders to clarify requirements, manage dependencies, communicate risks, and align delivery with business outcomes. Provide technical mentorship, design guidance, and constructive code review feedback to strengthen team capability and engineering quality. Operate effectively in distributed Agile teams with strong ownership of sprint commitments, release quality, and production readiness. Nice to Have Skills Experience with event-driven architecture and messaging platforms such as Kafka, AWS EventBridge, SQS, or similar technologies. Hands-on exposure to workflow orchestration and data processing platforms such as Databricks, Airflow, Temporal, or equivalent tools. Experience with Elasticsearch or other high-scale search, analytics, indexing, and data retrieval platforms. Experience contributing to enterprise design systems, shared UI component libraries, or large-scale frontend codebases. Familiarity with monorepo development environments and build systems such as Bazel. Infrastructure-as-Code experience using Terraform, AWS CDK, CloudFormation, or similar automation tools. Exposure to high-scale SaaS, marketplace, PropTech, real estate technology, or customer-facing digital product platforms. Experience working with geographically distributed engineering teams and cross-functional stakeholders. Why should you apply for this role? As Brillio continues to gain momentum as a trusted partner for our clients in their digital transformation journey, we strive to set new benchmarks for speed and value creation. The DI team at Brillio is at the forefront of leading this charge by reimagining and executing how we structure, sell and deliver our services to better serve our clients. Know more about PPE: DAE: CES: DI: Know what it's like to work and grow at Brillio: Equal Employment Opportunity Declaration Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation. $120,000 - $125,001 a year Know what it's like to work and grow at Brillio: Click here

Help Desk Support - Seattle, WA / Boise, ID Salary : $70,000-$85,000/yr., depending on location of candidate Total Rewards: Competitive Base Salary + Annual Merit Increases On-the-Spot Monthly Bonus Program Workplace Flexibility Options 401k Retirement Plan with Employer Match & Profit-Sharing Component Health, Dental and Vision Coverage + Employer Premium Contribution Employer-Paid Group Term Life Insurance Paid Time Off and Paid Holidays Employee Wellness Program Employee Assistance Program Opportunities for professional development Fennemore is a full-service business law firm with a 140-year legacy of excellence and a future defined by innovation. We are not your traditional law firm, and that's on purpose. With more than 20 offices across the nation, we're breaking growth records as one of the fastest-growing firms in the country. We embrace change, set new standards for how a modern law firm operates, and create environments where both clients and colleagues thrive. Our people-first philosophy is built on collaboration and creativity. Industry recognition for retention, workplace culture, and job satisfaction reflects that commitment. We're proud to foster a strong sense of community, a genuine commitment to work-life balance, and a diverse and inclusive work environment where passionate professionals feel valued and supported. Fennemore has an exciting opportunity for a Help Desk Support professional to join our growing firm. This full-time, onsite position is based in either our Seattle, WA or Boise, ID office and reports to the Help Desk Manager. As part of a collaborative technology team, you'll play an important role in providing friendly, prompt, and professional technical support to users across the firm. In this role, you will assist attorneys, staff, and clients with a wide range of technology needs, including hardware, software, applications, and remote connectivity. You'll also help maintain our systems, troubleshoot issues, and contribute to documentation and process improvement initiatives. This position also requires regular travel to support our Pacific Northwest offices, including Seattle, WA; Spokane, WA; Boise, ID; and Coeur d'Alene, ID, as business needs require. What You'll Do As a Help Desk Support team member, you will: Provide responsive, professional, and friendly technical support for firm users regarding hardware, systems, software from applications, remote access, and network issues. Manage incoming help desk tickets, ensuring accurate documentation, timely follow-up, and resolution. Support remote staff to ensure efficient administration and operation of the firm's computer, telephone, and conferencing systems. Assist in creating and maintaining documentation for in-house technologies, applications, and procedures. Troubleshoot and resolve issues related to Microsoft Windows, Microsoft Office, remote access, network connectivity, and security. Partner with the Help Desk Manager and IT team to improve systems, streamline processes, and enhance user experience. Communicate clearly and effectively with team members and colleagues across all levels of the firm. Participate in after-hours coverage rotation as needed, with flexibility for occasional overtime during high-volume periods. As part of our commitment to collaboration and excellence, this role requires flexibility in daily work schedules during periods of high workload, adhering to departmental and Firm goals and policies, and performing other duties as assigned to support the success of the department and organization. What You'll Bring Bachelor's or Associate's degree in Information Systems or a related field, or equivalent experience. 3+ years of experience in IT support or a similar technical role. 3+ years of customer service experience in a computer support environment. A+ certification strongly preferred. Proficiency with Microsoft Windows, Microsoft Office 365, and Exchange Online. Experience with installation, configuration, troubleshooting, and maintenance of operating systems, applications, and hardware. Familiarity with LAN/WAN, Microsoft networking, VPN, and VDI configurations. Advanced troubleshooting skills and the ability to work independently with minimal supervision. Excellent communication skills and the ability to manage multiple priorities in a fast-paced environment. Familiarity with legal specific software titles a plus; including: iManage Work, Intapp Time, Litera Compare, etc. Familiarity with non-legal titles software like Zoom Workplace, Microsoft Intune, etc. Willingness to travel regularly to support our other Pacific Northwest locations, including Spokane, WA and Coeur d'Alene, ID as needed. Please note: This position requires a background check as part of the firm's standard hiring process depending on location of candidate. PLEASE CONSIDER APPLYING TODAY Fennemore is an equal opportunity employer and encourages people from all social, economic, and ethnic groups, and individuals with disabilities, to apply to our positions. Fennemore is dedicated to maintaining an atmosphere that promotes the diversity of personal backgrounds, experiences, abilities, perspectives, and ideas. If your experience and qualifications are close to what you see listed here - even if not a perfect match please still consider applying. If you require assistance or need reasonable accommodations during any point in the application or interview process, please let us know. The above statements describe the general nature and level of work being performed by people assigned to this position. They should not be construed as an exhaustive list of all responsibilities, duties, and skills. Employees may be required to perform duties outside their normal assigned responsibilities as needed. Salary: $70,000-$85,000/yr., depending on location of candidate

About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Staff Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $400,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.

About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Senior Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $350,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.

Job Posting Title: Software Engineer II Req ID: Job Description: 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. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. Job Summary: As a Software Engineer on the Ad Platforms team, you will focus on creating complex user interfaces with rich interactions in modern reactive JavaScript libraries, tools, and runtimes to engineer and abstract reusable, and testable UI components and applications. You will be an important part of a lean culture where we'll be looking for you to collaborate with the backend and product teams to build optimized experiences for our end-users. The right person should also blend their engineering abilities with a sense of pixel-perfect craftsmanship, turning user stories, wireframes, and prototypes into fully functional UI, highly optimized components and applications. We're looking for a passionate, impactful, technical person who wants to come here to do their very best work and make their mark, add their chapter to the long and storied history of The Walt Disney Company. Someone who holds themselves and their teammates accountable in a professional, collaborative manner. A technologist who seeks to bring the best out in themselves and those around them. Someone who can provide a fresh perspective and innovative insight to our initiatives. Responsibilities and Duties of the Role: Build features, maintain existing code, and fix bugs in JavaScript/TypeScript and React Implement best practices to continually increase performance and scalability Collaborate with the team to peer review code and suggest optimizations. Advocate for quality through innovation, curiosity and thoughtful debate. Collaborate with team and peers to design complex applications, and peer review code Explore new technologies, and suggest additions to the existing tech stack Investigate and help resolve any production issues from end user (UI) to service layer and work to prevent them Work with project managers to ensure that all project deliverables are on time and high quality Required Education, Experience/Skills/Training: Basic Qualifications Hold a Bachelor's degree in Computer Science, Computer Information Systems, Engineering, or another technical field Have 3+ years of experience in web application development or software engineering in a large enterprise environment using modern frameworks Expertise in HTML & CSS, JavaScript/TypeScript and React Library Experience with Tailwindcss or SCSS Experience with Node.js and Next.js or Express.js Experience with unit testing frameworks (e.g. Jest, Mocha, Vitest). Excellent problem-solving skills. Organized, detail-oriented and able to deliver project tasks on time. Strong verbal and written communication skills. Highly motivated, self-starting individual. Have a track record of championing quality engineering: be adamant that all UI code is accessible and written in a way that can be tested Have an understanding of browsers, devices, and other user agent interoperability and compatibility concerns Have experience working with high-performing teams using Agile and Lean methodologies and frameworks Be a perfectionist who makes sure every pixel is in the right place Have excellent verbal and written communication skills Care about your craft and have opinions about the "right" way to do things with technology Preferred Qualifications Strong verbal and written communication skills. Highly motivated, self-starting individual. Excellent collaboration skills and ability to use standard software development lifecycle (SDLC) tools such as Jira and Confluence, version control systems (e.g. Git), and CI/CD tools and pipelines. Experience working with vendor teams to deliver high quality results Strong curiosity about how Disney delivers the Magic and a desire to be a part of it The hiring range for this position in Glendale, CA is $114,900 - $154,100 per year, in San Francisco, CA is $125,800 - $168,700 per year, in Seattle, WA is $120,300 - $161,300 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. Job Posting Segment: Ad Platforms Job Posting Primary Business: AP - Engineering Primary Job Posting Category: Product Software Engineering Employment Type: Full time Primary City, State, Region, Postal Code: Glendale, CA, USA Alternate City, State, Region, Postal Code: USA - CA - Market St, USA - WA - 925 4th Ave Date Posted: 2026-02-26

At Compass, our mission is to help everyone find their place in the world. Founded in 2012, we're revolutionizing the real estate industry with our end-to-end platform that empowers residential real estate agents to deliver exceptional service to seller and buyer clients. As a Staff Software Engineer in the Transaction Journey (TJ) organization, you will use your deep Frontend web expertise to build products that deliver high business impact to our customers. You will lead the design and development of a collaborative transaction management platform that streamlines the process of buying and selling homes, which spans key areas such as: transaction forms, eSign, compliance review, and commissions processing. You will lead teams to deliver features that make it easier for agents to work with clients and other parties to complete critical tasks throughout the transaction, so that they can spend less time managing it, and more time with their clients, and building their business. You will collaborate cross-functionally with multiple teams as well as with our product and design teams to identify and deliver the right solutions for our customers and support the growth of the world's most scalable brokerage. You are an engineer who is passionate about creating great products that are easy to use. You feel it is critical that your voice is heard in product and business decisions. You love to learn, and equally love to share your knowledge with others. You are a great communicator and you take care to understand before making yourself understood. You design systems that are fault tolerant, scalable, highly available, well-tested, eventually consistent, and follow best practices such as the single responsibility principle. Your code is designed for modularity and re-use. You take pride in delivering solid code that is well-tested, peer-reviewed, and follows best practices. You have strong opinions on code structure, style, and development processes. At Compass, You Will: Provide strategic direction and ownership of platform architecture, data ingestion and normalization, to deliver an industry leading search experience at scale. Independently define and lead the delivery of complex technical projects across the entire stack. Champion a culture of operational excellence by defining reliability KPIs, establishing accountability for service health, and leading architectural improvements that proactively reduce technical debt, manual toil, and infrastructure costs. Adopt and operationalize modern and emerging software patterns, including integrating AI, data pipelines, and telemetry systems to automate workflows Operate in a scalable engineering culture that leverages modern principles of AI assisted workflows, decoupled systems, and automated CI/CD/testing/monitoring to drive efficiencies Inspire, recruit, and mentor fellow engineers. Join a great team with a lot of visibility and some challenging projects on the horizon What We Look For: BS in Computer Science, Software Engineering or equivalent practical experience 10+ years of experience developing comprehensive, well-tested, and high-performance software applications in Typescript, Javascript, and HTML/CSS 5+ years of experience with React and NodeJS 3+ years of experience using AWS / cloud technologies A track record as a technical leader with cross-team impact Understanding and adherence to industry-standard best practices in software development and architecture while keeping abreast of evolving technologies in AI A sheer eye for design and attention to detail, the products you build should not merely be functional but should take in context and anticipate our customer's needs in a beautiful way Strong critical thinking skills, great communication skills and passion for delivering operational excellence Strong familiarity with continuous integration/continuous delivery (CI/CD) pipelines, containerization, and Agile/Scrum methodologies Excellent verbal and written communication skills with a strong sense of technical empathy for your end-users (whether they are real estate agents or fellow developers) Nice to have: Experience with backend programming experience using languages such as Java, Golang, or Python Nice to have: Experience with Kafka and event-driven systems, gRPC, Thrift, and other server-to-server communication protocols If you're passionate about shaping the future of real estate technology and possess the skills and experience we're seeking, we encourage you to join our dynamic team at Compass. Together, we'll continue to transform the industry. Compensation: The base pay range for this position is $228,000- 240,000 however, base pay offered may vary depending on job-related knowledge, skills, and experience. Bonuses and restricted stock units may be provided as part of the compensation package, in addition to a full range of benefits. Base pay is based on market location. Minimum wage for the position will always be met. Perks that You Need to Know About: Participation in our incentive programs (which may include eligible cash, equity, or commissions). Plus paid vacation, holidays, sick time, parental leave, and recharge leave; medical, tele-health, dental and vision benefits; 401(k) plan; flexible spending accounts (FSAs); commuter program; life and disability insurance; Maven (a support system for new parents); Carrot (fertility benefits); UrbanSitter (caregiver referral network); Employee Assistance Program; and pet insurance. Do your best work, be your authentic self. At Compass, we believe that everyone deserves to find their place in the world - a place where they feel like they belong, where they can be their authentic selves, where they can thrive. Our collaborative, energetic culture is grounded in our Compass Entrepreneurship Principles and our commitment to diversity, equity, inclusion, growth and mobility. As an equal opportunity employer, we offer competitive compensation packages, robust benefits and professional growth opportunities aimed at helping to improve our employees' lives and careers. Notice for California Applicants Los Angeles County Fair Chance Notice

Are you ready to make an impact? Applied AI Engineer/Architect West Monroe is seeking an Applied AI Engineer/Architect to lead the design and delivery of enterprise AI solutions that solve complex business challenges. This role serves as the technical AI leader across client engagements and West Monroe assets, defining AI architectures, guiding implementation teams, and helping clients make informed decisions about when to leverage large language models (LLMs), deterministic automation, platform-native AI capabilities, or traditional software engineering approaches. As a Senior Architect, you will provide deep technical expertise, contribute to business development efforts, and help advance West Monroe's AI capabilities through reusable assets, thought leadership, and mentorship. What You Will Do Client Delivery Lead the architecture and delivery of enterprise AI solutions, including model selection, retrieval strategies, workflow orchestration, evaluation frameworks, observability, guardrails, and human oversight. Design and implement AI-enabled applications using LLMs, agents, retrieval augmented generation (RAG), tool integrations, and secure production deployment patterns. Define semantic models, ontologies, business objects, metadata strategies, permissions, and data contracts that enable reliable AI reasoning and enterprise workflows. Advise clients on AI strategy, technical feasibility, data readiness, model selection, governance, responsible AI practices, and implementation roadmaps. Partner with application, data, and cloud engineering teams to integrate AI capabilities into production systems, APIs, data platforms, security architectures, and operational workflows. Establish AI evaluation methodologies using benchmark datasets, regression testing, red-team scenarios, quality metrics, and release criteria to ensure reliable and measurable outcomes. Leverage AI tools to accelerate analysis, synthesize complex information, and support data-driven recommendations for clients, exercising sound judgment in evaluating outputs. Apply AI technologies (e.g., generative AI, automation tools, data models) to enhance insights, improve delivery efficiency, and elevate the quality of client outcomes. Business Development Serve as a trusted technical advisor during pursuits, helping shape AI strategy, solution architecture, and delivery approaches for complex client opportunities. Support proposals, client presentations, and executive discussions by articulating AI capabilities, tradeoffs, risks, and business value. Build credibility in the marketplace through deep expertise in enterprise AI architecture and emerging technologies. Practice Development Develop reusable AI frameworks, accelerators, evaluation methodologies, and reference architectures that strengthen West Monroe's AI offerings. Mentor engineers and architects while sharing technical expertise across project teams. Stay current on frontier AI models, enterprise agent architectures, hyperscaler AI platforms, governance expectations, and secure deployment practices. Contribute to thought leadership, internal capability building, and innovation initiatives that expand West Monroe's Applied AI practice. What You Will Bring 7+ years of experience in software engineering, data engineering, machine learning, applied AI, or technical architecture, including recent hands-on AI engineering experience. Proven experience building production AI solutions using LLMs, AI agents, RAG, prompt engineering, AI evaluation frameworks, observability, MLOps, or machine learning platforms. Strong Python development skills and proficiency in at least one additional enterprise technology stack such as TypeScript, Java, C#, or modern data engineering frameworks. Experience with one or more leading AI ecosystems, including Azure OpenAI, AWS Bedrock, Google Vertex AI, Databricks, Snowflake, Microsoft Fabric, or comparable platforms. Strong understanding of cloud architecture, APIs, identity and access management, security, data engineering, application integration, and production deployment practices. Knowledge of semantic modeling, ontology design, knowledge representation, data governance, and enterprise AI architecture. Ability to communicate AI concepts, technical tradeoffs, and implementation risks effectively to executive stakeholders, business leaders, architects, and engineering teams. Experience integrating AI tools (e.g., ChatGPT) into day-to-day workflows to enhance productivity and insight generation, coupled with strong critical thinking to assess accuracy, mitigate bias, and ensure high-quality outputs. Ability to travel 25 to 50%. A commitment to inclusion and diversity, and openness to new ideas and perspectives. Ability to work permanently in the United States without sponsorship. Based on pay transparency guidelines, the salary range for this role can vary based on your proximity to one of our West Monroe offices (see table below). Information on our competitive total rewards package, including our bonus structure and benefits is here. Individual salaries are determined by evaluating a variety of factors including geography, experience, skills, education, and internal equity. Employees (and their families) are covered by medical, dental, vision, and basic life insurance. Employees are able to enroll in our company's 401k plan, purchase shares from our employee stock ownership program and be eligible to receive annual bonuses. Employees will also receive unlimited flexible time off and ten paid holidays throughout the calendar year. Eligibility for ten weeks of paid parental leave will also be available upon hire date. Seattle or Washington, D.C. $236,300-$277,700 USD Los Angeles $247,500-$291,000 USD New York City or San Francisco $258,800-$304,200 USD A location not listed above $225,000-$264,500 USD Other consultancies talk at you. At West Monroe, we work with you. We're a global business and technology consulting firm passionate about creating measurable value for our clients, delivering real-world solutions. The combination of business and technology is not new, but how we bring them together is unique. We're fluent in both. We know that technology alone is not the answer, but how we apply it is. We rely on data to constantly adapt and solve new challenges. Actions that work today with outcomes that generate value for years to come. At West Monroe, we zero in on the heart of the opportunity, getting to results faster and preparing people for what's next. You'll feel the difference in how we work. We show up personally. We're right there in the room with you, co-creating through the challenges. With West Monroe, collaboration isn't a lofty promise, but a daily action. We work together with you to turn vision into clear action with lasting impact. West Monroe is an Equal Employment Opportunity Employer We believe in treating each employee and applicant for employment fairly and with dignity. We base our employment decisions on merit, experience, and potential, without regard to race, color, national origin, sex, sexual orientation, gender identity, marital status, age, religion, disability, veteran status, or any other characteristic prohibited by federal, state or local law. To learn more about diversity, equity and inclusion at West Monroe, visit If you require a reasonable accommodation to participate in our recruiting process, please inquire by sending an email to . Please review our current policy regarding use of generative artificial intelligence during the application process. Additionally, West Monroe uses the BrightHire platform to record live interviews so our team can capture notes more accurately, stay focused on the conversation, and continually improve our interview process. You can review our privacy notice for more information about this process and how recordings are used. If you have any questions, reach out to . If you are based in California, we encourage you to read West Monroe's Notice at Collection for California residents, provided pursuant to the California Consumer Privacy Act (CCPA) and linked here.

Job Description About the team and role: Loyalty touches every Nordstrom customer - and the systems behind it need to be as reliable as the promise they represent. The Loyalty Technology team builds the platform that makes earning, tracking, and redemption work seamlessly across every channel, at scale. We own the services and APIs that power the loyalty experience end to end, from awarding and tiering to redemption and rewards lookup, including the services that customers and store associates rely on to get accurate loyalty information in the moment. We're looking for a Senior Engineer who can design and deliver solutions that solve complex business problems and span the work of multiple engineers. In this role, you will improve service quality across the team, make technical decisions that align with Nordstrom engineering standards, mentor engineers, and support incident resolution for complex production issues across our loyalty platform. A day in the life: Technical Leadership Lead technical strategy and solution design for Loyalty Technology, ensuring solutions are scalable, reliable, secure, and aligned with business priorities across the loyalty platform. Own solutions that span multiple services and engineering workstreams, translating business, stakeholder, and technical requirements into simple, modular, and extensible designs. Lead design and code reviews to ensure quality, maintainability, extensibility, testability, and operational readiness of feature code. Apply, enforce, and improve Nordstrom engineering and security standards while contributing to the engineering community of practice. Platform Ownership Design, build, and maintain high-performing services, APIs, and reusable components that support core loyalty capabilities, including earning, awarding, tiering, redemption, and rewards lookup. Improve reliability, performance, scalability, availability, observability, and security across test, integration, and production environments for loyalty services, including event-driven, Kafka-based pipelines. Plan and implement application enhancements, integrations, and reconfigurations - including integrations with our loyalty vendor and other third-party loyalty or promotions platforms - that improve functionality, resiliency, and usability. Build and improve automated tests, CI/CD practices, deployment procedures, and release processes that increase delivery confidence for loyalty services. Analyze defects, system performance, and operational bottlenecks across the loyalty platform to prevent recurrence and improve overall system stability. AI-Native Practice Work AI-native by default across design, prototyping, coding, testing, debugging, and incident response - using AI tools to explore more solution paths and accelerate delivery, while framing problems and supplying the domain context that makes AI genuinely useful on complex loyalty work. Exercise strong engineering judgment over AI-generated output, taking full accountability for the correctness, security, performance, and maintainability of what ships, and favoring rapid prototyping and hands-on validation over heavyweight documentation. Help mature the team's AI-native practices and mentor others on effective, responsible AI use - evaluating tools and workflows, sharing patterns that raise the whole squad's leverage, and knowing when to rely on AI versus hands-on judgment. Team & Culture Maintain a strong customer mindset for engineering partners and business users, balancing delivery needs with long-term maintainability and operational excellence. Participate in 24x7 on-call support and incident resolution for complex production issues impacting the loyalty program. Mentor engineers across a wide spectrum of technical activities and participate in interviews for individual contributor roles by providing clear, specific feedback. Lead by example through hands-on design, prototyping, coding, testing, and delivery of high-quality solutions. What you'll bring: Required 6+ years of professional software engineering experience in a relevant practice area. Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience. Experience analyzing, designing, coding, testing, installing, and maintaining complex software programs. Strong knowledge of Java and the Java Spring Boot framework. Strong grasp of multiple technology stacks, including APIs, services, data stores, cloud infrastructure, and operational tooling. Experience with RESTful services, event-driven applications, and Kafka or similar event-streaming platforms. Experience with AWS or GCP services and cloud-native application development. Sound object-oriented design skills and knowledge of application design patterns. Experience working with diverse, collaborative, cross-functional teams across business, product, infrastructure, security, and engineering functions. Strong verbal and written communication skills, including the ability to communicate technical information clearly to nontechnical audiences. Hands-on experience using AI tools in real engineering work, with the judgment to know when to lean on them and the discipline to verify what they produce. Nice to Have Experience with Python, React, JavaScript, C#, or similar technologies. Familiarity with Kubernetes, Docker, CI/CD, automated testing, and agile delivery practices such as Scrum, Kanban, or Lean. Experience building metrics into systems and providing visibility into uptime, performance, reliability, and customer impact through real-time alerting, reporting, and dashboards. Prior experience with loyalty, rewards, or points-based programs, or with third-party loyalty/promotions platforms. Curiosity and drive to push AI-native ways of working - automation, new tools, and operational excellence - and to help others adopt them. Pay Range Details The pay range(s) below has been provided in compliance with state specific laws. Pay ranges may be different for other locations. Pay offers are dependent on the location, as well as job-related knowledge, skills, and experience. $142,000.00 - $220,500.00 Annual We've got you covered Our employees are our most important asset and that's reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including: Medical/Vision, Dental, Retirement and Paid Time Away Life Insurance and Disability Merchandise Discount and EAP Resources This position may be eligible for performance-based incentives/bonuses. Benefits include 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more. Eligibility requirements may apply based on location, job level, classification, and length of employment. Learn more in the Nordstrom Benefits Overview by copying and pasting the following URL into your browser: A few more important points The job posting highlights the most critical responsibilities and requirements of the job. It's not all-inclusive. There may be additional duties, responsibilities and qualifications for this job. For Los Angeles or San Francisco applicants: Nordstrom is required to inform you that we conduct background checks after conditional offer and consider qualified applicants with criminal histories in a manner consistent with legal requirements per Los Angeles, Cal. Muni. Code 189.04 and the San Francisco Fair Chance Ordinance. For additional state and location specific notices, please refer to the Legal Notices document within the FAQ section of the Nordstrom Careers site. Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified at . Please be mindful that there may be legal notices and requirements related to this job posting that are specific to your state. Review the Career Site FAQ's for relevant information and guidelines. Current Nordstrom employees: To apply, log into Workday, click the Careers button and then click Find Jobs. Nordstrom keeps job postings open for at least one day after the posting date. 2026 Nordstrom, Inc

SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: At SpaceXAI, we design, build, and operate Colossus from the ground up. This includes the massive GPU clusters, high-speed interconnect fabric, and the software that makes it all work at unprecedented scale. Colossus powers Grok and our frontier AI models with a custom, high-performance datacenter network that delivers ultra-low latency and massive bandwidth across hundreds of thousands of GPUs. As a Software Engineer on the Colossus Networking team, you will develop the core networking software that maximizes the performance and reliability of our datacenter fabric. Your work will directly impact training efficiency, model convergence, and the speed at which we can push the frontier of AI. Our engineers own the full lifecycle of their software - from design and implementation to deployment, monitoring, and iteration based on real-world performance at scale. You will solve hard problems in distributed systems, high-performance networking, and real-time control of one of the largest AI supercomputers on Earth. RESPONSIBILITIES: Develop routing and traffic-engineering algorithms for the Colossus high-performance datacenter network. Develop highly reliable, real-time software designed to run on the switches that form the backbone of our low-latency, high-bandwidth AI training fabric. Participate in and lead architecture, design, and code reviews. Develop prototypes and run experiments to validate key design decisions at both small and full-cluster scale. Build tools for software development, deployment, data analysis, visualization, and testing across virtualized environments, hardware-in-the-loop setups, and live production clusters. Deploy reliable software updates through continuous integration and release systems with rigorous testing and monitoring. BASIC QUALIFICATIONS: Bachelor's degree in computer science, engineering, math, or a related technical discipline; OR 2+ years of professional software development experience in lieu of a degree. Strong development experience in C or C++. PREFERRED SKILLS AND EXPERIENCE: Strong professional experience writing high-performance C/C++ in production environments. Experience developing, debugging, and deploying software that runs at scale in real-world systems. Deep knowledge of networking protocols (UDP, TCP/IP, RDMA, etc.), distributed systems, and large-scale datacenter fabrics. Background in real-time systems, high-performance computing, low-latency networking, or resource-constrained environments. Creative problem-solving ability with exceptional analytical skills and strong engineering fundamentals. Excellent written and verbal communication skills. Ability to thrive in a fast-paced, dynamic environment with evolving requirements. Experience with security considerations in large-scale distributed systems. COMPENSATION AND BENEFITS $180,000 - $440,000 USD Base salary is just one part of our total rewards package at SpaceXAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

Job DescriptionJob Description The Quality Assurance Specialist II provides QA oversight for Facility, Equipment, Utility (FEU), and Computer System (CS) programs in a cell therapy manufacturing environment, with accountability for review, approval, escalation, and lifecycle compliance activities that support GMP readiness and sustained operational control. This role serves as the Quality representative on cross-functional project teams and ensures Facility, Equipment, Utility, and Computer System activities are planned, executed, documented, and maintained in compliance with GMP requirements while supporting clinical and commercial operating timelines. KEY ROLES AND RESPONSIBILITIES:Commissioning, Qualification, and Validation Provide QA compliance oversight for Facility, Equipment, Utility, and Computer System qualification and validation projects. Review and approve validation plans, User Requirement Specifications (URS), protocols (IQ/OQ/PQ), and summary reports for equipment and systems. Maintain oversight of the qualified and validated state of Facility, Equipment, Utility , and computer systems through periodic review, requalification, deviation review, and change management. Create and manage qualification and validation project schedules. Facility, Equipment, and Utility Oversight Support onboarding of new Facility, Equipment, and Utility assets by approving initial release requirements and defining quality expectations for lifecycle management. Provide QA oversight for the calibration and maintenance programs to ensure ongoing GMP compliance and operational readiness. Review and approve work plans including procedure, test points, tolerances, and acceptance criteria. Review and approve asset removal, return-to-service activities, and associated quality documentation. Review and approve on-demand work orders for unplanned events and repairs. Quality Systems: Review and approve Standard Operating Procedures related to Facility, Equipment, Utility, and Computer System operation and maintenance. Review and approve change controls, deviations, and Corrective and Preventive Actions (CAPAs) related to Facility, Equipment, Utility , and Computer Systems. KNOWLEDGE SKILLS AND ABILITIES: Understanding of requirements and expectations for compliant Facility, Equipment, and Utility programs including commissioning/qualification, calibration, and maintenance. Ability to work effectively both independently and cross-functionally. Fast learner, adaptable, and has the desire and ability to work in a fast-paced, start-up environment. Excellent communication, emotional intelligence and interpersonal skills. Familiar with quality management systems (e.g. deviations, CAPAs, change management). Curious and proactive mindset with a continuous improvement orientation. REQUIRED EDUCATION AND EXPERIENCE: Bachelor's degree in life sciences or a related technical discipline with a minimum of 8 years of experience in a GMP biopharmaceutical manufacturing environment or equivalent combination of relevant education, training, and experience, PREFERRED EXPERIENCE: Prior experience in a Quality Assurance oversight role for Facility, Equipment, and Utility qualification and management. Experience with computer system validation. Previous experience using Blue Mountain computerized maintenance management software. Experience with cell therapy and/or lentiviral manufacturing operations. Experience in commercial manufacturing and post-approval lifecycle management. PHYSICAL REQUIREMENTS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. While performing their duties, the employee must be able to do the following: Stand and step over a gowning bench (12-24") and aseptically don head-to-toe non-sterile and sterile gowns. SHIFT WORK, WEEKEND WORK AND HOLIDAY COVERAGE: While this position is primarily Monday - Friday, occasional off-shift work, weekend work, and holiday work may be required due to the nature of our autologous cell therapies and the need to deliver life-saving treatments to our patients as timely as possible. The salary range for this position is $130,000 to $150,000, annually, with the opportunity to earn an annual bonus. The salary range is an estimate, and the actual salary may vary based on Lyell's compensation practices and an applicant's qualifications and experience. Employees are also eligible to participate in Lyell's Equity Incentive Plan. At Lyell, we believe that highest performing teams include people from a wide variety of backgrounds and experiences who respectfully challenge each other. We are committed to building an open, diverse and inclusive culture for all employees. Lyell is proud to be an equal opportunity employer and does not discriminate on the basis of race, color, citizenship status, national origin, ancestry, sex, sexual orientation, age, religion, creed, physical or mental disability, medical condition, marital status, veteran status or any other characteristics protected under applicable federal, state and local laws. We've learned from experience that some of the best people don't always match our requirements perfectly - if you're interested and think you could fit, please don't hesitate to apply.

Year Up is seeking an enthusiastic Entry Level Application Developer to join our dynamic team in the Education, Training & E-Learning department. This role is essential to our mission of closing the opportunity divide by enabling young adults to build cutting-edge tech skills and gain essential workplace experience. Candidates will develop and maintain various educational applications and platforms, collaborate with educators to optimize learning technology, and contribute to projects that impact educational equity directly. Responsibilities Develop, test, and maintain applications using standard development tools Collaborate with instructional designers to integrate effective educational technologies Participate in the full software development lifecycle including analysis, design, implementation, and testing Assist in the troubleshooting and resolving of issues within the application or its environment Participate in peer-reviews of solution designs and related code Work with cross-functional teams to ensure quality throughout the software development lifecycle Required Skills Proficiency in programming languages such as Python, Java, or Java Script Understanding of basic software development methodologies Strong problem-solving skills and analytical abilities Familiarity with databases and basic project management principles Excellent communication and teamwork capabilities

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services (AWS) is a comprehensive, evolving, and growing business unit within which provides cloud services. Since early 2006, AWS has provided a highly reliable, scalable, low-cost infrastructure platform that powers hundreds of thousands of businesses in 190 countries around the world. The AWS Cloud spans 99 Availability Zones within 31 geographic regions around the world, with more regions being added every year. If you are interested in a career working in a high growth, fast-paced and Customer focused work environment then AWS may be the right fit for you. The AWS Energy Team works across AMER to supply reliable and carbon free energy to our data centers. The team is seeking a results-orientated individual to join as a Transmission Systems Manager. In this role you will lead transmission planning activities that allow AWS to identify sites for renewable energy projects and power supply opportunities for existing and future AWS data centers. This role provides an opportunity for a technically minded individual to further advance their career within the clean energy sector. As a Transmission Systems Manager you will manage a portfolio of power flow analysis, due diligence and transmission studies using industry tools and in partnership with engineering consultants. The successful candidate will possess strong project management and communication skills and an ability to collaborate with cross-functional teams (Energy, Legal, Finance, Supply Strategy, Real Estate and Capacity Planning) on reporting status, issues, opportunities and key risks across a portfolio of power projects. Key job responsibilities - Build, develop, and maintain transmission planning models to support Amazon's energy growth strategies. - Conduct in-house power flow transmission studies, including generation deactivation and load addition analyses. - Analyze and mitigate transmission constraints in collaboration with internal teams (Energy, Procurement, Infra Energy, Real Estate, Design Engineering, Field Engineering) and external stakeholders (Utilities, RTOs). - Perform technical due diligence assessments on power connection options, evaluating costs, timelines, and key risks for proposed power projects. - Aggregate and manage datasets from multiple sources to deliver comprehensive insights on energy projects, supporting decision-making in renewable energy integration and load capacity planning. - Coordinate with cross-functional teams to ensure alignment of transmission planning with Amazon's overall energy strategy. - Manage relationships with consultants and external partners through contractual documents and agreements. About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Bachelor's degree in Electrical, Mechanical, Power Engineering, or a related field - Experience in managing multiple, competing priorities simultaneously - Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders - 3+ years of experience in transmission planning, power systems analysis, or a related energy discipline. - Hands-on experience with power flow analysis tools (e.g., PSS/E, PowerWorld, PSCAD, TARA or equivalent). PREFERRED QUALIFICATIONS - Master's degree in Electrical, Mechanical, Power Engineering, or a related field - Experience working with RTOs/ISOs (e.g., PJM, MISO, WECC, SPP, ERCOT) on transmission interconnection or planning studies. - Familiarity with renewable energy integration, generation interconnection processes, and large load interconnection. - Experience supporting data center, hyperscaler, or large industrial load growth initiatives. - Proficiency in GIS tools and data management platforms for transmission system visualization. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Austin - 92 000.00 USD annually USA, WA, Seattle - 92 000.00 USD annually

Weyerhaeuser seeks a Business Integration & Procurement Excellence Analyst to optimize how we buy materials and services across our manufacturing operations. In this role, you will analyze spend and supplier performance data, standardize processes, and support system integrations to improve cost, quality, and sustainability. You will partner with operations, supply chain, and finance to develop KPIs, reporting, and best practices, enabling data driven sourcing decisions that advance our safety, integrity, and environmental stewardship goals while supporting long term business growth. Responsibilities Analyze procurement and supply data to identify cost, quality, and sustainability improvements Support integration of procurement processes, systems, and standards across manufacturing sites Develop and track KPIs, dashboards, and reports for sourcing and supplier performance Partner with operations, finance, and supply chain to implement best practices and savings initiatives Support sourcing events, RFPs, and contract reviews with data and insights Document and improve end to end purchasing workflows and controls Assist in system implementations, upgrades, and user training for procurement tools Ensure compliance with company policies, safety, and sustainability objectives Required Skills Procurement analytics Data analysis and reporting ERP or procurement systems (e.g., SAP, Oracle, Coupa, Ariba) Advanced Excel and data visualization (e.g., Power BI, Tableau) Spend analysis and cost modeling Process mapping and continuous improvement (Lean/Six Sigma) Supplier performance management Contract and RFP support Manufacturing or supply chain knowledge Stakeholder communication and collaboration

Join the AI native innovation team within the CX Design organization. We are tackling complex customer problems with an AI first approach challenging the status quo. If you are a strong conceptual thinker, good at building things in code and dealing well with ambiguity - read on. Key job responsibilities You need to be: - A conceptual thinker - Have the ability to think critically to support your ideas with data not opinion - Understand the end to end software development lifecycle and have delivered at least one product front to back - Be a good team player, with clear communication, good listening skills and the willingness to support your peers About the team The CX AI Solutions team is an AI native design team We are diving deep in understanding customer problems and built AI tools that let us do this well. We generate ideas that are solving these customer problems with an AI first approach challenging the status quo. And we build out these ideas ourselves on code to a working proof of concept. Collaboration with internal and external customers is a critical part of the teams DNA. BASIC QUALIFICATIONS - 8+ years of design experience - Have an available online portfolio - Experience partnering with technical partners for design implementation - Code fluency leveraging IDE environments (Kiro, Claude) and proven track record of delivering working application outcomes. PREFERRED QUALIFICATIONS - Knowledge of marketing fundamentals and ability to implement them to create dynamic advertising solutions - Knowledge of typographic and brand design principles Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Austin - 141 700.00 USD annually

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services (AWS) is a comprehensive, evolving, and growing business unit within which provides cloud services. Since early 2006, AWS has provided a highly reliable, scalable, low-cost infrastructure platform that powers hundreds of thousands of businesses in 190 countries around the world. The AWS Cloud spans 99 Availability Zones within 31 geographic regions around the world, with more regions being added every year. If you are interested in a career working in a high growth, fast-paced and Customer focused work environment then AWS may be the right fit for you. The AWS Energy Team works across AMER to supply reliable and carbon free energy to our data centers. The team is seeking a results-orientated individual to join as a Transmission Systems Manager. In this role you will lead transmission planning activities that allow AWS to identify sites for renewable energy projects and power supply opportunities for existing and future AWS data centers. This role provides an opportunity for a technically minded individual to further advance their career within the clean energy sector. As a Transmission Systems Manager you will manage a portfolio of power flow analysis, due diligence and transmission studies using industry tools and in partnership with engineering consultants. The successful candidate will possess strong project management and communication skills and an ability to collaborate with cross-functional teams (Energy, Legal, Finance, Supply Strategy, Real Estate and Capacity Planning) on reporting status, issues, opportunities and key risks across a portfolio of power projects. Key job responsibilities - Build, develop, and maintain transmission planning models to support Amazon's energy growth strategies. - Conduct in-house power flow transmission studies, including generation deactivation and load addition analyses. - Analyze and mitigate transmission constraints in collaboration with internal teams (Energy, Procurement, Infra Energy, Real Estate, Design Engineering, Field Engineering) and external stakeholders (Utilities, RTOs). - Perform technical due diligence assessments on power connection options, evaluating costs, timelines, and key risks for proposed power projects. - Aggregate and manage datasets from multiple sources to deliver comprehensive insights on energy projects, supporting decision-making in renewable energy integration and load capacity planning. - Coordinate with cross-functional teams to ensure alignment of transmission planning with Amazon's overall energy strategy. - Manage relationships with consultants and external partners through contractual documents and agreements. About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Bachelor's degree in Electrical, Mechanical, Power Engineering, or a related field - Experience in managing multiple, competing priorities simultaneously - Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders - 3+ years of experience in transmission planning, power systems analysis, or a related energy discipline. - Hands-on experience with power flow analysis tools (e.g., PSS/E, PowerWorld, PSCAD, TARA or equivalent). PREFERRED QUALIFICATIONS - Master's degree in Electrical, Mechanical, Power Engineering, or a related field - Experience working with RTOs/ISOs (e.g., PJM, MISO, WECC, SPP, ERCOT) on transmission interconnection or planning studies. - Familiarity with renewable energy integration, generation interconnection processes, and large load interconnection. - Experience supporting data center, hyperscaler, or large industrial load growth initiatives. - Proficiency in GIS tools and data management platforms for transmission system visualization. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Austin - 92 000.00 USD annually USA, WA, Seattle - 92 000.00 USD annually

Qumulo is a software-defined cloud data platform. Our core is a distributed storage operating system in C & Rust, holding exabytes in the datacenter, at the edge, and natively in the cloud. Qumulo serves everything from a hospital's medical imaging archive to an animation studio's render farm in an environment where 99% correct doesn't cut it. About the Role: Joining us, you'd learn and work across our distributed storage engine and the services that help customers store, manage, and protect their data, under the guidance of experienced senior engineers. This includes a fault-tolerant block layer that erasure-codes and distributes data beneath the file system, a transactional file system where aggregates roll up as they change so a query across billions of files answers in real time instead of walking a tree, and that same machinery drives quotas, capacity trends, snapshot policy, multiple access protocols, plus replication and backup - all running in userspace. All of which makes Qumulo a distributed operating system problem: scheduling, memory hierarchy, protection, and concurrency. We're AI-forward and specific about what that means. You will learn to use agents to help write code while developing your engineering judgment to ensure every design decision is correct, because nothing ships that isn't right. Why join Qumulo: Qumulo blends the flexibility of a startup with the security of a mature and profitable organization. Here you'll work closely with a small team of smart, capable engineers who will serve as your mentors. Opinions are expected, disagreement is normal, and you'll get hands-on experience taking projects from ideation to release. We value quality, correctness, and performance. Our architecture, protocols, and patents are public, so you can read how most of this works before you talk to us - and we're small enough that the work you do will actually show up in the product. As a Software Engineer at Qumulo, you will: Collaborate with team members on design, code reviews, and pair programming to deliver high-quality software. Collaborate with team members and area leads on architecture and design of new/updated features. Contribute to full-lifecycle feature development and testing using C, Rust, and Python. Take ownership of defining and implementing customer-facing features and internal system improvements. Help debug, troubleshoot, and fix test failures and complex product or service issues in production environments. What we're looking for: Recently graduated (or graduating within the next 9 months) with a degree in Computer Science, a related field, or equivalent experience. Ability to write well-factored, maintainable, and well-tested code. Strong grasp of algorithms and data structures, with solid academic or project experience in distributed systems, database concepts, concurrent programming, or operating systems concepts. Proficiency in C, C++, Rust, Java, or Go demonstrated through classes, internships, or personal projects Willingness to work collaboratively with a team to solve complex problems and learn quickly on the job. Ability to work a hybrid schedule from our downtown Seattle HQ Must be authorized to work in the United States. We are unable to provide visa sponsorship or transfer. This role is hybrid, based at our downtown Seattle HQ, targeting 3 days a week in-office. The salary range for this role is USD $110,000 - $140,000 annual base salary plus pre-IPO stock options and benefits. Individual compensation depends on factors such as role level, relevant experience, and skill set. Benefits & Perks: Pre-IPO stock options Flexible time-off policy HSA and PPO health insurance options Dental and Vision insurance 401(k) plan Choice of an ORCA card or parking subsidy About Qumulo: Built for the most demanding enterprise workloads, from AI and HPC simulations to Splunk Observability, genomics and PACS medical imaging, geospatial datasets, media editing and rendering, and video surveillance, Qumulo unlocks the full power of an organization's information. Our platform unifies file and object storage across data centers, edge, and public clouds, enabling efficient, accelerated computing and extending the reach of data unbound by protocol or transport limitations. With more than 1,100 customers and exabytes of data under management, Qumulo powers mission-critical workloads anywhere real-time access to massive file datasets is non-negotiable. Qumulo delivers radical simplicity, hardware freedom, exceptional customer support, and a true hybrid-cloud architecture. Our Values: At Qumulo, we are building an open and collaborative culture where people can do their best work with customers as our magnetic field. We act as owners, we share by default, we are data driven and experimental and as an inclusive workplace, we encourage and celebrate multiple points of view. As part of our culture we believe diversity drives innovation. Equal Opportunity Employer: Qumulo is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, national origin, or any other characteristic protected under federal, state, or applicable local law. For more information on Qumulo's Applicant Privacy Policy, please visit:

Qumulo is a software-defined cloud data platform. Our core is a distributed storage operating system in C & Rust, holding exabytes in the datacenter, at the edge, and natively in the cloud. Qumulo serves everything from a hospital's medical imaging archive to an animation studio's render farm in an environment where 99% correct doesn't cut it. About the Role: Joining us for our Summer 2027 internship program, you'd learn and work across our distributed storage engine and the services that help customers store, manage, and protect their data, under the guidance of experienced senior engineers. This includes a fault-tolerant block layer that erasure-codes and distributes data beneath the file system, a transactional file system where aggregates roll up as they change so a query across billions of files answers in real time instead of walking a tree, and that same machinery drives quotas, capacity trends, snapshot policy, multiple access protocols, plus replication and backup - all running in userspace. All of which makes Qumulo a distributed operating system problem: scheduling, memory hierarchy, protection, and concurrency. We're AI-forward and specific about what that means. You will learn to use agents to help write code while developing your engineering judgment to ensure every design decision is correct, because nothing ships that isn't right. Why intern at Qumulo: Qumulo blends the flexibility of a startup with the security of a mature and profitable organization. Here you'll work closely with a small team of smart, capable engineers who will serve as your mentors. Opinions are expected, disagreement is normal, and you'll get hands-on experience taking projects from ideation to release. We value quality, correctness, and performance. Our architecture, protocols, and patents are public, so you can read how most of this works before you talk to us - and we're small enough that the work you do during your internship will actually show up in the product. As a Software Engineering Intern at Qumulo, you will: Collaborate with team members on design, code reviews, and pair programming Collaborate with team members and area leads on architecture and design of new/updated features Work directly with a team on core product features; not on a siloed intern project Contribute to feature development and testing using C, Rust and Python Define and implement customer-facing features and internal improvements Help debug and fix test failures and product or service issues What we're looking for: Ability to write well-factored and well-tested code Strong grasp of algorithms and data structures, with some experience in distributed systems, database concepts, concurrent programming, or operating systems concepts At least one class, internship or personal project using C, C++, Rust, Java, or Go Willingness to work collaboratively with a team to solve complex problems Ability to reside in Seattle for the duration of your internship Pursuing a BS or BA in Computer Science or Computer Engineering or equivalent experience, available for a full-time internship during Winter, Spring, or Summer 2027 Must be authorized to work in the United States. We are unable to provide visa sponsorship or transfer. This role is hybrid, based at our downtown Seattle HQ, targeting 3 days a week in-office. The base pay for this intern role is USD $100,000 annual base salary (prorated to $1,900 per week for the duration of your internship), plus relocation, travel, and local transit support as applicable. About Qumulo: Built for the most demanding enterprise workloads, from AI and HPC simulations to Splunk Observability, genomics and PACS medical imaging, geospatial datasets, media editing and rendering, and video surveillance, Qumulo unlocks the full power of an organization's information. Our platform unifies file and object storage across data centers, edge, and public clouds, enabling efficient, accelerated computing and extending the reach of data unbound by protocol or transport limitations. With more than 1,100 customers and exabytes of data under management, Qumulo powers mission-critical workloads anywhere real-time access to massive file datasets is non-negotiable. Qumulo delivers radical simplicity, hardware freedom, exceptional customer support, and a true hybrid-cloud architecture. Our Values: At Qumulo, we are building an open and collaborative culture where people can do their best work with customers as our magnetic field. We act as owners, we share by default, we are data driven and experimental and as an inclusive workplace, we encourage and celebrate multiple points of view. As part of our culture we believe diversity drives innovation. Equal Opportunity Employer: Qumulo is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, national origin, or any other characteristic protected under federal, state, or applicable local law. For more information on Qumulo's Applicant Privacy Policy, please visit:

Who we are Want to make an impact? Join our pack and come work (and play!) with us. We believe everyone deserves the unconditional love of a pet-and at Rover, our mission is to make it easier to experience that love. Founded in 2011, the Rover app and website connect dog and cat parents with loving pet sitters and dog walkers in neighborhoods across the US, Canada, and Europe. We empower our community of trusted pet sitters and dog walkers to run their own pet care businesses on Rover, with the tools and security of a global company behind them. Headquartered in Seattle, Washington, we work closely with our teams in Barcelona and remote locations. We have a reputation as a great place to work and are proud to be recognized as a top workplace in our area by respected business publications. We're an agile, fast-growing company, and our leadership comes from some of the world's most respected tech companies. At Rover, our furry coworkers are just as important as our human ones-and we wouldn't have it any other way. Along with making the joys of pet parenthood more accessible, we're committed to fostering a diverse, inclusive, and welcoming community of pet people-and that starts with our employees. About the Commerce Platform The Commerce Platform team is Rover's trusted commerce backbone, owning everything from the order lifecycle to the checkout and payout experience-making it effortless, secure, and reliable for anyone to transact on Rover while ensuring financial accuracy, auditability, and regulatory compliance at scale. Our team's responsibilities include: Delivering a convenient, secure checkout and payout experience. We own the integrations with our payment service providers (including Stripe and PayPal), manage KYC verification, ensure PCI compliance, and continually improve the platform by expanding payment offerings, optimizing checkout flows, and improving the bottom line through high-impact projects Owning the end-to-end transaction lifecycle. We maintain orders and line-item data, fees, credits, and promotions, and serve as the source of truth for what gets charged, credited, taxed, and paid out on the platform-including tax calculation and reporting across eligible jurisdictions Ensuring accurate, audit-ready financial records. We run the reconciliation and reporting pipelines that keep month-end close clean and accurate, partnering closely with Rover's Finance & Accounting and FP&A teams as Rover grows internationally and adds new service lines This is a hybrid position that has the minimum expectation to work out of our Downtown Seattle Office two days per week on Mondays and Thursdays. For this reason, candidates must be based in the Greater Seattle Area or willing to relocate. Additionally, applicants must be currently authorized to work in the United States on a full-time basis, without the need for current or future employer sponsorship for an employment-based visa status. What you'll do Build a deep, working understanding of how money moves through Rover: orders, fees, credits, discounts, taxes, and payouts. Use those insights to catch risks and spot opportunities early Set the technical direction for Rover's transaction lifecycle, from how a booking becomes a charge to how a sitter gets paid, that every other product team builds against Take on problems that arrive unscoped and cross team lines: a tax requirement in a new market, a new payment provider, a change to how Rover's fees work. Turn them into a plan others can align around Work directly with Finance, Accounting, and Compliance to translate accounting and regulatory requirements into good system design Raise the bar for how Rover builds financially trustworthy systems, through design review, code review, and patterns that teams outside Commerce Platform adopt Move fluidly between hands-on work and mentorship. Raise the technical bar for engineers beyond your own team, and know when to step back and let others lead Care that every owner is charged or refunded correctly for their stays and that their sitter gets paid the right amount on the right day. Qualifications Deep technical background with 8+ years of experience in software development best practices, system design, and architecture, with the technical range to work effectively across a modern web/mobile stack (e.g., Python, Django, Relational Databases, React, React Native) Experience running cross-functional initiatives, influencing technical direction and roadmaps across teams, and building alignment across organizational boundaries Proven ability to navigate complex, open-ended technical challenges across multi-system architectures, using strong engineering judgment to establish strategic direction Experience leveraging AI and agentic coding tools to increase engineering velocity and raise the technical bar across engineering teams Experience with large-scale, high-traffic consumer marketplace platforms; commerce, payments, or other finance-critical domain experience preferred Excellent written and verbal communication, including with senior leadership, stakeholders, and external partners Track record mentoring engineers and leading technical interviewing efforts, including helping shape what the team looks for in candidates Aligned with Rover Core Values Benefits of working at Rover Competitive compensation 401k match Long-term incentive plan with a company performance-based cash payout Flexible PTO Competitive benefits package, including medical, dental, and vision insurance Commuter benefits Bring your dog to work (and unlimited puppy time) Pet benefits, including $1000 toward adopting your first dog or cat Stocked fridges, coffee, soda, and lots of treats (for humans and dogs), and free catered lunches monthly Regular team activities performed in-person and virtually Compensation In the greater Seattle area, the first-year salary range is $182,290-$260,000. Additionally, Rover offers benefits to full-time employees. Cash compensation for this role will depend on the candidate's experience, qualifications, skills, and abilities as demonstrated during the interview and hiring process.

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role At Anthropic, we're building AI systems that are safe, beneficial, and transformative. Our mission is to develop AI that benefits humanity, and we believe the most powerful capabilities emerge when we thoughtfully bridge the gap between research breakthroughs and real-world applications. Anthropic Labs serves as our internal accelerator. We're looking for the next breakout hits that bring substantial revenue or transform an industry. We operate in close partnership with research and build through fast iteration cycles. Past successes include Claude Code and MCP. We're seeking versatile, entrepreneurial engineers to join Labs. In this role, you'll work at the intersection of cutting-edge research and real-world application, rapidly building and testing new experiences, working directly with researchers and users, and generating the insights that shape Anthropic's product future. You'll need to be comfortable with ambiguity, willing to kill your own projects when the data says to, and energized by the pace of building in uncharted territory. Responsibilities Rapidly prototype full-stack applications that showcase emerging AI capabilities, shipping early and often to maximize learning Collaborate closely with research teams to understand new model capabilities and translate them into intuitive user experiences Work directly with internal test users and external partners to gather feedback, iterate quickly, and validate (or invalidate) product concepts Design and run structured experiments to test hypotheses, balancing creative exploration with rigorous evaluation Generate documentation and insights to guide successful prototypes toward full product teams Advocate for user experience and product considerations early in the research process Provide feedback to research teams about model effectiveness and where capabilities can be improved Flexibly contribute across Labs initiatives based on organizational priorities and emerging opportunities-context from one project should inform the next You may be a good fit if you Have 8+ years of experience building full-stack applications, with a track record of zero-to-one work in startup or startup-like environments Thrive in ambiguity and are energized (not anxious) by uncertainty-you're comfortable working on projects that might not exist in three months Have a hacker mentality: high agency, bias toward shipping, comfort with technical debt when it's the right tradeoff Are deeply user-centric-you validate ideas with actual users before over-investing and talk about problems before solutions Can articulate learnings from failed or killed projects without defensiveness; you treat your work as experiments Hold strong opinions loosely-you advocate forcefully for ideas but change your mind based on evidence Are a generalist who can transition between different problem spaces as priorities shift Work independently with good judgment about what matters, without needing constant direction Have strong technical skills across modern web development stacks (React, Node.js, Python, etc.) and are comfortable with APIs, databases, and cloud technologies Communicate effectively and translate complex AI capabilities into intuitive experiences Care about the societal impacts and ethics of your work Strong candidates may also have Experience building products that involve AI/ML components or working with large language models Experience collaborating directly with research teams in AI/ML environments Background conducting user research, interviews, and usability testing Experience across both B2B and B2C product development, or in multiple industries Design sensibility or hands-on experience with UI/UX for AI-powered applications Experience with real-time applications, WebSocket implementations, or complex frontend interactions What we're not looking for at this stage Deep specialists who can't adapt if their domain becomes irrelevant Engineers who've only succeeded in big-company structures with well-defined processes and long timelines People who are precious about their work or frame all past projects as successes Those who need clear roadmaps and get stressed by shifting priorities Candidates need not have 100% of the skills listed above Formal certifications or education credentials Direct machine learning or AI research experience Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000-$485,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links-visit directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About the Team DoorDash is building the world's most reliable on-demand, logistics engine for delivery. We are continuing to grow rapidly and expanding our Engineering offices globally! We are looking for Staff Backend Engineers to build and maintain a large scale 24x7 global infrastructure system that powers DoorDash's 3-sided marketplace of Consumers, Merchants and Dashers. About the Role We're looking for Staff Backend Engineers to work on both Product and Product Platform based teams. Product focused Engineers work at the intersection of product and infrastructure to solve key business problems with elegant technical solutions. You'll operate our backend services and architecture that support all product functionality and will be challenged to consider the big picture collaborating cross-functionally, as well as evaluating and executing on trade-offs to maximize business impact for the company. We expect Staff Engineers to be able to run cross-functional projects end to end, mentor their junior to mid level peers and influence our technical roadmaps This role is hybrid with some in-office time expected and will report to an Engineering Manager. You're excited about this opportunity because you will Develop, release and run large-scale web applications Develop and define the backend architecture and tech stack for a product area Improve performance, reliability, scalability and security for our backend systems Be involved in transitioning our monolithic codebase to a microservice-based architecture Completely disrupt logistics by tackling bleeding-edge, technical problems We're excited about you because you have B.S., M.S., or PhD. in Computer Science or equivalent 8+ years of industry experience Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Prior experience working with backend tech stacks Ability to analyze and improve efficiency, scalability, and stability of various system resources Experience with service oriented architecture, writing REST API's, unit testing, and architectural design Understanding of modern web stacks and architecture (HTTP, REST) Experience with SQL and NoSQL databases and other technologies (e.g. Postgres, Redis, Elasticsearch, RabbitMQ) Notice Regarding Use of AI and Automated Tools: To streamline our hiring process, DoorDash utilizes an automated recruitment tool called Gem. How it works: Gem assists our recruiting team by evaluating job related qualifications and characteristics in connection with hiring. The tool is designed and used to support - rather than replace - human decision-making; trained personnel make final decisions with meaningful human review and oversight, and DoorDash does not use Gem or other AI-enabled tool in a manner that has the effect of subjecting applicants or employees to discrimination based on any protected characteristic or proxy or for engaging in any protected activity under applicable law. Data Retention, Privacy & Bias Audit: Data collected during this process is retained in accordance with our Candidate Privacy Policy and applicable state laws. In compliance with New York City Local Law 144, the independent bias audit summary for Gem is publicly available for review at our Careers Page. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on August 21, 2023. Please see the independent bias audit report covering our use of Covey here. Compensation The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee's work location. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information. DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others. To learn more about our benefits, visit our careers page here. See below for paid time off details: For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year. For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week). The national base pay ranges for this position within the United States, including Illinois and Colorado. I4 $130,600-$192,000 USD I5 $159,800-$235,000 USD I6 $193,800-$285,000 USD About DoorDash At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users-from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more. Our Commitment to Diversity and Inclusion We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on "protected categories," we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce - people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination. Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation. If you need any accommodations, please inform your recruiting contact upon initial connection. Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We used Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023. We resumed using Covey Scout for Inbound again on June 29, 2024, and ceased using Covey Scout for Inbound on April 30, 2026. The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring - learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Job DescriptionJob DescriptionAbout SecureITSM SecureITSM is a Certified CMMC Managed Service Provider (MSP) supporting Department of Defense (DoD) contractors that must obtain and maintain Cybersecurity Maturity Model Certification (CMMC). SecureITSM is a CMMC Certified Organization (CMMC UID ) and has developed a proprietary CMMC documentation and compliance platform designed to streamline assessment preparation, evidence management, and ongoing compliance operations. We are seeking a highly organized and technically skilled CMMC Assessment Lead to oversee the planning, preparation, coordination, and support of customer CMMC assessments conducted by authorized C3PAOs. This role is critical to ensuring our customers successfully achieve and maintain compliance with NIST SP 800-171 Rev. 2 and future Rev. 3 requirements. The ideal candidate combines deep cybersecurity and compliance expertise with exceptional project management, customer communication, and assessment defense capabilities. Location and Travel: This is a remote position with occasional travel required to support customer assessments. Position Summary The CMMC Assessment Manager will oversee customer assessment readiness activities from initial scheduling through final assessment support and remediation coordination. The role requires direct interaction with customers, assessors, internal engineering teams, and executive leadership. This individual will manage multiple concurrent customer engagements while ensuring assessment artifacts, implementation statements, policies, procedures, and evidentiary documentation are accurate, complete, and defensible. Key Responsibilities Plan and Coordinate Assessments (Primary) Maintain the master CMMC customer assessment schedule Coordinate assessment timelines with customers, C3PAOs, and internal SecureITSM teams Conduct readiness reviews and pre-assessment planning meetings Track customer assessment milestones, dependencies, and remediation activities Manage customer communications related to assessment preparation and scheduling Coordinate Rules of Engagement (ROE), assessment logistics, and secure evidence transfer processes Monitor assessment status and provide executive-level reporting on customer readiness Assist customers in understanding assessment scope, boundary definitions, and enclave considerations Prepare Assessment Packages (Primary) Update implementation statements as needed Gather and organize evidentiary artifacts Coordinate customer evidence collection activities Review SSPs, policies, procedures, and supporting documentation for assessment readiness Validate evidence traceability to NIST SP 800-171 requirements and assessment objectives Prepare assessor-ready evidence packages and artifact repositories Conduct internal quality assurance reviews of documentation and evidence Identify documentation gaps and coordinate remediation activities Support development and maintenance of Plans of Action & Milestones (POA&Ms) Ensure documentation aligns with evolving CMMC and NIST guidance Support Customer Assessments (Primary) Attend and actively support customer assessments Actively defend implementations and evidence presented to assessors Coordinate assessment interviews and technical demonstrations Support mock assessments and readiness exercises for customers Assist customers in responding to assessor requests and follow-up questions Document assessment observations, findings, and remediation actions Coordinate post-assessment remediation activities and evidence resubmissions when required Serve as a trusted advisor throughout the certification lifecycle Maintain SecureITSM's Authorization and Compliance (Secondary) Conduct SecureITSM's annual self-assessment activities Maintain internal compliance documentation and evidentiary artifacts Coordinate annual evidence collection activities (e.g., training certificates, access reviews, vulnerability scans) Assist with internal policy and procedure updates Support ongoing continuous monitoring and compliance validation activities Track changes to CMMC, NIST SP 800-171, and related DoD guidance affecting internal compliance posture Implementation Statement Management (Secondary) Maintain and update SecureITSM master implementation statement libraries aligned to NIST SP 800-171 and evolving CMMC guidance Develop and maintain industry-specific implementation statement sets (e.g., manufacturing, engineering, professional services, telework-only environments) Standardize implementation language and evidence expectations across customer environments Coordinate updates to implementation statements based on assessment findings, regulatory changes, and best practices Validate implementation statements for technical accuracy, completeness, and assessor defensibility Support continuous improvement of SecureITSM's proprietary documentation platform and implementation content library Maintain and Improve Standard Operating Procedures (Secondary) Develop and maintain assessment preparation Standard Operating Procedures (SOPs) Continuously improve evidence collection and assessment support workflows Create standardized templates, checklists, and assessment playbooks Document lessons learned and incorporate process improvements Maintain internal knowledge base articles and operational documentation Assist in refining SecureITSM's proprietary CMMC documentation platform workflows and processes Required Qualifications U.S. Citizenship required Detailed understanding of Microsoft Azure, Microsoft Defender, Microsoft Sentinel, Microsoft 365 GCC/GCC High, and related Microsoft security technologies 6+ years of cybersecurity experience with strong focus on NIST SP 800-53 and/or NIST SP 800-171 Experience supporting compliance assessments, audits, or certification activities Strong understanding of CMMC assessment methodology and evidence requirements Excellent technical writing and communication skills Strong project management and organizational abilities Exceptional attention to detail Ability to manage multiple customer engagements simultaneously Experience working directly with external assessors, auditors, or regulatory bodies Familiarity with secure project management and compliance collaboration platforms Preferred Qualifications PMP certification preferred CMMC Certified Professional (CCP) or Certified Assessor (CCA) preferred CISSP, CISM, or equivalent cybersecurity certification preferred Experience supporting DoD contractors or working within the Defense Industrial Base (DIB) Familiarity with FedRAMP and DFARS Experience with SIEM, vulnerability management, and endpoint protection technologies Key Attributes Strong leadership and customer engagement skills Ability to remain composed and professional during high-pressure assessment activities Analytical thinker with strong problem-solving capabilities Self-motivated with ability to work independently Collaborative team player with strong interpersonal skills High level of integrity and professionalism All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, status as a protected veteran or any other basis prohibited by law. Powered by JazzHR 0mriC7k8Mc Company Description Paragone Solutions, Inc. is a boutique provider of services to the Department of Defense. We are process-oriented (i.e. ISO 9001 certified) services company that provides cybersecurity, IT training, and industrial health/occupational safety support services. Founded in 2008, we are a certified woman-owned small business and a SBA certified 8(a) firm. Paragone offers competitive salaries and a relaxed, life-friendly work environment. Company DescriptionParagone Solutions, Inc. is a boutique provider of services to the Department of Defense. We are process-oriented (i.e. ISO 9001 certified) services company that provides cybersecurity, IT training, and industrial health/occupational safety support services. Founded in 2008, we are a certified woman-owned small business and a SBA certified 8(a) firm. Paragone offers competitive salaries and a relaxed, life-friendly work environment.

Job DescriptionJob DescriptionCompany Description WNS Procurement, part of Capgemini, is an Agentic AI-powered leader in intelligent operations and transformation, serving more than 700 clients across 10 industries, including Banking and Financial Services, Healthcare, Insurance, Shipping and Logistics, and Travel and Hospitality. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across multiple industries. WNS Procurement, a strategic business unit within WNS, Part of Capgemini is a market leader in procurement transformation & advisory, managed services, intelligence and analytics, and digital tools. Our mission is to enable procurement to become the top value creator in the business by implementing transformational operating models that are category-driven, insight-led, and digitally enabled. Why Join WNS Procurement? Client-Centric Approach: Help clients achieve their business goals by implementing customized, next-generation procurement solutions. Collaborative Culture: Join a diverse and inclusive workplace where teamwork and collaboration are at the heart of everything we do. Innovative Environment: Be part of a team that leverages cutting-edge technology and data-driven insights to revolutionize procurement processes. Global Impact: Work with leading global companies and make a significant impact on their procurement strategies. Career Growth: We offer extensive professional development opportunities, ensuring that you grow alongside the company. Job Description ob Title: Source to Contract Associate Location: Remote Employment Type: Fill Time Industry: Procurement Services - SaaS/Tech Experience Level: Entry-Level About the Role We are seeking a Source to Contract Associate to join our team and contribute to a client sourcing service delivery team, managing the development and execution of sourcing projects of various complexity levels. The Sourcing Associate is responsible for executing simple to complex sourcing projects, from start to finish, including but not limited to - validating sourcing requests per client guidelines, analyzing requirements for the bid packages, communicating with client requesters to close any data gaps, preparing and publishing the package to the identified suppliers for bidding purposes, following up with suppliers to ensure adequate participation, analyzing and summarizing proposals, coordinating evaluation of suppliers and facilitating decision makings. The ideal candidate will possess Source to Contract experience and skills: negotiation of software contracts, process project management, effective communication skills. This person should also be self driven, independent, resourceful and adaptive. Key Responsibilities Sourcing/Contract Execution: Provides sourcing services (RFx, reverse auctions, negotiations) to our clients based on predefined service levels, managing 5-12 simple to complex projects simultaneously with limited supervision/guidance or independently Once a project request is received, assess completeness of requirements, perform due diligence and validation, follow up with the requestor to obtain further project details, answer any process related questions, and provide updates on project status Lead and execute the WNS sourcing process from start to finish, e.g., spend data collection and analysis, supply market analysis and supplier discovery if needed, RFx development, publishing and management, reverse auctions, negotiations, bid response analysis and synthesis Complete negotiations in software environment and credit based system enterprise licensing. Tech, SaaS, Professional Services, and Corporate Services deals. Manage suppliers during the sourcing process, including conducting supplier orientation and training on the sourcing process, following up with suppliers on milestone activities Perform in depth analysis of proposals submitted, facilitate supplier evaluations, draw conclusions, prepare comprehensive summaries, and present to the client in a concise manner Process Improvement Develop and/or customize various templates such as RFx, pricing, and proposal evaluation Identify areas of process inefficiencies and suggest improvements to management to improve efficiency and effectiveness of Denali processes Client and Project Management Develop and maintain comprehensive project documentation Collaborate with Client Category Managers and/or WNS SMEs on project strategy and determine sourcing approach and methodology to be applied based on the strategy Qualifications Required Qualifications Preferred Qualifications Bachelor's Degree Minimum 2-3 years of work experience in procurement, sourcing, operations, or supply chain Procurement Functional/Technical Skills: Strong Sourcing skills, including sourcing methodology and process, eSourcing technology, RFX development and management Familiarity with various best practice sourcing approaches and techniques Strong analytical skills and ability to work with data in Excel using pivot tables and various other key Excel functions to analyze, organize and present data Ability to synthesize data, draw conclusion, and make recommendations based on understanding of client objectives and requirements Proficiency of one or more eSourcing tools (e.g., Ariba, Procuri, Iasta, Zycus, ERP eSourcing module) CLAUDE IS PREFERRED Basic to intermediate negotiation skills in software environment and credit based system enterprise licensing. Tech, SaaS, Professional Services, and Corporate Services deals. Understanding of retail store specific categories and their pricing/cost structures, terminology, key vendors, key requirements, typical sourcing levers, etc. Business Fundamentals: Excellent written and verbal communication skills Demonstrated teamwork Excellent project management skills including project planning, time management, multitasking, critical path definition Client Services Capabilities: Strong customer service orientation including demonstrated issue resolution and relationship management skills Ability to learn and master client specific processes, terminology, political environment, systems and unique requirements by various business groups Solid decision making ability using available facts in sensitive client situations Additional information Compensation Disclosure The base salary range for this position is $75K - $90K annually. This range reflects the base pay that we reasonably expect to offer for the role across our hiring locations. Final compensation will be determined based on a combination of factors, including but not limited to: Geographic location (state and city of residence) Overall professional experience Directly relevant experience Education and certifications Industry knowledge and expertise Skills and competencies In addition to base pay, this role may be eligible for performance-based bonuses, or incentive pay, or commissions, which are not included in the listed base salary range. WNS complies with all applicable federal, state, and local pay transparency laws, including those in California, Colorado, New York, Washington, and Illinois. Where required by law, we will provide additional details about compensation and benefits to qualified applicants. Benefits Overview Our benefits package includes (but is not limited to): - Medical, dental, and vision insurance - Paid time off (PTO), holidays, and sick leave - 401(k) with company match or other retirement plan - Life and AD&D Insurance - Employee Assistance Program Equal Opportunity Employer Statement WNS is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, national origin, age, disability, genetic information, veteran status, or any other status protected under federal, state, or local law. We also provide reasonable accommodations to individuals with disabilities and for sincerely held religious beliefs in all aspects of employment, including the application process.

Amazon Web Services (AWS) seeks a Pan-Amazon MarTech/AdTech Architect to design and implement scalable, cloud-native marketing and advertising technology solutions across Amazon businesses. You will partner with product, marketing, and engineering teams to define architectures leveraging AWS analytics, data lakes, CDP concepts, identity/attribution, and real-time decisioning. Responsibilities include leading discovery and roadmap efforts, guiding migration to AWS, building reference architectures, and providing hands-on governance and best practices. You will influence C-level stakeholders, write technical documents, and mentor teams in a fast-paced, customer-obsessed environment. Responsibilities Architect scalable Mar Tech/Ad Tech solutions on AWS for Pan-Amazon initiatives Lead discovery, requirements gathering, and technical roadmaps with business and engineering stakeholders Design data architectures including data lakes, analytics, identity resolution, and attribution pipelines Define integration patterns with ad platforms, marketing platforms, and first-party data systems Create reference architectures, design docs, and best practices for customers and internal teams Guide migrations of existing Mar Tech/Ad Tech stacks to AWS services Provide technical leadership, code and design reviews, and governance for solution implementations Collaborate with C-level and senior leaders to align architecture with business strategy Mentor engineers and architects on cloud-native marketing and advertising architectures Ensure security, compliance, scalability, and cost optimization of proposed solutions Required Skills AWS architecture (EC2, S3, Lambda, ECS/EKS) Data lake and data warehouse design (S3, Redshift, Lake Formation) Streaming and real-time processing (Kinesis, Kafka) Identity resolution, customer data platforms (CDP), and attribution modeling SQL and data modeling for analytics API and microservices architecture Security, compliance, and governance on AWSMar Tech/Ad Tech platforms and integrations Solution architecture and technical leadership Technical documentation and stakeholder communication

Sager Electronics seeks a Field Application Engineer to support OEM and industrial customers with design-in solutions across power, interconnect, and electromechanical components. In this customer-facing role, you'll partner with sales and suppliers to understand application requirements, recommend products, and assist with design reviews, evaluations, and troubleshooting. You'll deliver technical training, demos, and documentation while providing responsive, solution-focused support. Join a long-established, fast-growing distributor with a collaborative, service-driven culture and opportunities to deepen your expertise in technology and supply chain solutions. Responsibilities Serve as primary technical liaison to OEM and industrial customers Support design-in of power, interconnect, and electromechanical components Analyze customer requirements and recommend appropriate solutions Conduct design reviews, evaluations, and troubleshooting for customer applications Collaborate with sales and supplier partners to develop technical solutions Deliver technical training, presentations, and product demonstrations Create and maintain technical documentation and application notes Provide responsive technical support throughout the customer design cycle Identify new design opportunities and help drive revenue growth Stay current on relevant technologies, products, and industry trends Required Skills Electronics circuit design and analysis Power electronics fundamentals Interconnect and electromechanical components knowledge Reading schematics and technical drawings Customer-facing technical support Technical presentations and product demos Solution selling / design-in support CRM and sales support tools Problem-solving and root cause analysis Technical documentation and report writing

Sager Electronics is looking for a Sales Engineer to work with our Field Sales team to drive growth within the assigned region by expanding existing customer relationships and developing new business opportunities in power, thermal and battery solutions . This role is ideal for a motivated engineer who is technically savvy and who thrives at the intersection of engineering and business development. Territory: Washington, Oregon and British Columbia What You'll Do As a Sales Engineer and power supply expert , you will play a critical role in identifying, developing, and securing new power supply opportunities: Partner with customers from design through production to win new business Support qualification efforts for Power Systems products, including inbound leads Collaborate with the local sales team on design opportunities and application solutions Deliver product updates and emerging technology insights to customers and internal teams Capture and manage design registrations and design wins Build strong relationships with local rep groups and manufacturer representative partners Share market intelligence, customer feedback, and industry trends with leadership Participate in technical training with suppliers and service centers Contribute to customer planning and regional growth strategies Ensure an exceptional customer experience through consistent follow-through Manage territory and time effectively to maximize impact Complete administrative reporting and maintain CRM data Represent the company with professionalism, integrity, and accountability Meet or exceed established sales goals and performance objectives What You Bring Education & Experience Bachelor's degree in engineering Minimum 7 + years of experience selling power solutions Experience supporting customers through the power supply selection process Knowledge & Skills Strong understanding of the power supply market and electronics industry Ability to engage stakeholders Self-starter who thrives in a fast-paced, results-driven environment Excellent communication, negotiation, and listening skills Strong organizational and territory management abilities Ability to quickly become a product expert across multiple suppliers Proficiency with standard business and CRM tools Compensation Annual Base Salary Range: $73,710-$122,200 Annual Total Compensation Range (Base + Incentive): $113,400-$188,000 The compensation structure includes a base salary and a monthly incentive opportunity for a combined total target income. Actual compensation may vary based on factors such as geographic location, experience, education, and skill level. Final base salary and bonus details will be confirmed at the time of offer. Why Join Us? Opportunity to work with leading power technology suppliers High-impact role with strong visibility and growth potential Collaborative team environment with technical and sales support At Sager Electronics, we value our team members and strive to provide a comprehensive benefits package for full-time employees. Here is what you can expect: Medical, dental, and vision insurance to keep you and your family healthy. 401(k)/Roth plan with matching, ensuring your financial future is secure. Healthcare Savings Accounts for added flexibility in managing medical expenses. Educational Assistance (Tuition Reimbursement) to support your ongoing learning and development. Continuous training opportunities throughout your employment, empowering you to grow both personally and professionally. A strong commitment to giving back to our communities through philanthropic opportunities and volunteer hours. We understand the importance of work-life balance, and our Paid Time Off is designed to support our employees' well-being. Sager Electronics, a TTI, Inc. Company, is a North American distributor of Interconnect, Power and Electromechanical components from leading manufacturers worldwide and a provider of custom value-add solutions. Grounded in over 135 years of innovation and service, Sager Electronics provides customers and suppliers a unique combination of operational excellence and innovative business solutions through its Distributing Confidence business model. Headquartered in Middleborough, MA, Sager operates a national network of field sales representatives and power systems sales engineers, ten strategically located service centers, and a value-added Custom Solutions Center in Lewisville, TX. To learn more about us, visit To perform the position, you must be a U.S. Person as defined by ITAR. ITAR defines a U.S. Person as a U.S. Citizen, U.S. Permanent Resident (i.e., 'Green Card Holder'), Political Asylee, or Refugee. Visa sponsorship is not available for this role. Only candidates authorized to work in the United States will be considered. We are an Equal Opportunity Employer, and we support protected veterans and individuals with disabilities through our affirmative action program. Compensation details: 00 Yearly Salary PI17a62a865f57-2486

WHAT YOU'LL DO The Machine Learning team at Viant builds the real-time decisioning systems that power programmatic advertising - models that predict, in milliseconds, whether an ad opportunity is worth bidding on, and systems that decide how much to bid, live, across billions of auctions. We're looking for an experienced Director of Applied Science to own this technical domain end to end: the models, the production systems they run on, and the team that builds them. This is a hands-on, player-coach role - you'll review designs, unblock scientists on hard formulation problems, and still be able to work through the math and the system tradeoffs yourself when it matters. THE DAY-TO-DAY Own the end-to-end design, deployment, and performance of Viant's real-time prediction and bid-optimization systems - models that run inside strict latency budgets and directly drive auction outcomes Define the technical formulation for ambiguous ad-optimization problems: what's being optimized (click, conversion, ROAS, or incremental value), who the valid training population is, what the model should predict, and how a downstream system should interpret it Provide technical and strategic leadership to a team of applied scientists and ML engineers - reviewing designs, coaching through production tradeoffs, and setting technical direction Own the operational realities of production ML at scale: delayed feedback and attribution, label imbalance, latency and serving constraints, monitoring, drift, and retraining Evaluate and improve the systems that decide how bids are placed and adjusted in live auctions, incorporating budget, volume, and business constraints into the model's output Collaborate with Product and Engineering leadership to align technical roadmap with business priorities Build toward more autonomous, multi-step decisioning systems as the team's technical roadmap expands beyond single-prediction models MUST HAVE 10+ years of experience building and deploying production machine learning systems, with at least 5+ years in a hands-on technical leadership role Direct experience with real-time, high-scale decisioning systems - ad optimization, bidding, ranking, recommendation, or a closely comparable domain with similar latency and volume constraints Demonstrated ability to formulate an ambiguous business problem into a precise ML specification: labels, training population, objective, loss function, and evaluation metrics - without relying on framework-level generalities Working fluency in the operational demands of production ML: delayed feedback, latency and serving tradeoffs, monitoring, drift, and retraining A track record of technical leadership: reviewing and improving other scientists' system designs, not just managing their output Bachelor's degree in Computer Science, Engineering, or a related field; Master's preferred GREAT TO HAVE Direct experience with real-time bidding, ad auctions, or programmatic advertising systems specifically Experience with identity resolution or cross-device/cross-platform user matching Experience with agentic or multi-step autonomous decisioning systems PhD in Machine Learning, Computer Science, or a related field Publications or conference contributions in ML or a closely related field Formal people-management tenure beyond the 5-year hands-on leadership requirement above LIFE AT VIANT Investing in our employee's professional growth is important to us, but so is investing in their well-being. That's why Viant was voted one of the best places to work and some of our favorite employee benefits include fully paid health insurance , paid parental leave and unlimited PTO and more. Base compensation range: $230,000 - $260,000 In accordance with California law, the range provided is Viant's reasonable estimate of the compensation for this role. Final title and compensation for the position will be based on several factors including work experience and education. About Viant Viant Technology (NASDAQ: DSP) is an exclusively buy-side, AI-powered advertising platform purpose-built for CTV. Viant uniquely combines proprietary content intelligence, household-level identity resolution, and person-level attention signals to connect advertisers with real customers and drive measurable outcomes across the open internet. Through its award-winning AI solutions, Viant is building the future of autonomous advertising, where AI doesn't just assist the campaign, it delivers real results. Learn more at Viant is an equal opportunity employer and makes employment decisions on the basis of merit. Viant prohibits unlawful discrimination against employees or applicants based on race (including traits historically associated with race, such as hair texture and protective hairstyles), religion, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, reproductive health decision making, gender, gender identity, gender expression, age, military status, veteran status, uniformed service member status, sexual orientation, transgender identity, citizenship status, pregnancy, or any other consideration made unlawful by federal, state, or local laws. Viant also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics. By clicking "Apply for this Job" and providing any information, I accept the Viant California Personnel Privacy Notice.

At Qualtrics, we create software the world's best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform-we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention-but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers. When you join one of our teams, you'll be part of a nimble group that's empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You won't have to look to find growth opportunities-ready or not, they'll find you. From retail to government to healthcare, we're on a mission to bring humanity, connection, and empathy back to business. Join over 5,000 people across the globe who think that's work worth doing. Senior Software Engineer - Socrates Experimentation Platform (SEP), Provo or Seattle Why We Have This Role Qualtrics is seeking a Senior Software Engineer to join the Socrates Experimentation Platform (SEP) team, part of the Core AI Product Unit. Our mission is to enable applied scientists, data scientists, and ML engineers to rapidly build, deploy, and operate AI features and solutions at scale - by providing a unified platform and a governed data architecture. We build and maintain the infrastructure and workflows that power the end-to-end ML lifecycle: data ingestion and anonymization, feature engineering, model training and evaluation, and production deployment - all within AWS SageMaker Unified Studio. We reduce time-to-value, improve data and model quality, and lower total cost of ownership through purpose-built self-service tooling, pipeline automation, and robust operational guardrails. How You'll Find Success Our team is on the cutting edge of Qualtrics' new AI offerings. You'll be working in a fast paced environment, and will be expected to participate in requirements gathering, design and architecture discussions, full stack development, and code reviews. You will need to take ownership of your feature and drive its development and delivery, end-to-end. Your week to week will also involve operational excellence and quality improvements. We also expect our contributors to be excellent communicators, who influence the technical direction of the team and mentor junior engineers who work alongside them. With a strong sense of ownership, and with curiosity to always try to find a better way, you will find success on this team and in Qualtrics. How You'll Grow You will work on high impact projects building the platform that Qualtrics' AI teams depend on - from data ingestion and anonymization pipelines to SageMaker Unified Studio workflows. You will work across a breadth of AWS technologies including SageMaker Unified Studio, DataZone, Lake Formation, S3, DynamoDB, SQS, Lambda, and more. You will participate in design and architecture discussions with your peers, gaining insight from their experiences. You will work cross-functionally with applied scientists, ML engineers, data engineers, and security/compliance teams to enable success across the AI development lifecycle. You will communicate with various stakeholders to streamline operational effectiveness. You will evaluate and adopt new tools and patterns in the AWS ML and data ecosystem. Things You'll Do Design and build scalable, reliable backend services and data pipelines that power the end-to-end ML lifecycle within AWS SageMaker Unified Studio. Own the entire lifecycle of the features and platform capabilities you work on, from ideation to delivery, collaborating closely with applied scientists, ML engineers, and product managers. Build and operate data infrastructure implementing a medallion (bronze/silver/gold) architecture - including ingestion, transformation, anonymization, aggregation, quality checks, and lineage. Operate production platform services with 99.9% availability SLOs, participating in on-call rotations and operational review processes. Drive self-service tooling and automation that reduces manual toil and accelerates onboarding of new AI projects. Teach and mentor other engineers on the team, participate in design discussions, and establish and maintain best practices through code reviews and mentorship. What We're Looking For On Your Resume 10+ years of relevant software engineering experience. Bachelor's degree in Computer Science or related field, or suitable industry experience. Strong proficiency in SQL for querying, analyzing, and validating large-scale data. Familiarity with other languages such as Python, Java, TypeScript, or Go is a plus. Deep expertise in core data engineering principles, including advanced data modeling, schema design, and processing large-scale datasets with strict data quality and validation standards. Proven experience leading complex, high-impact data initiatives end-to-end-from initial scoping and technical design to deployment, operational monitoring, and business-impact delivery. Familiarity with infrastructure-as-code (e.g. AWS CDK) and AWS cloud services; hands-on experience with SageMaker, DataZone, Lake Formation, Glue, or similar data/ML platform services is a strong plus. Experience building and operating data pipelines or distributed data systems (e.g. ETL/ELT, event-driven architectures, SQS/Kafka, S3-based data lakes) is a strong plus. Experience with professional software engineering practices such as unit testing, code reviews, and writing design documents. Experience owning deployment and operations for large-scale distributed systems. What You Should Know About This Team The Socrates Experimentation Platform (SEP) team is the foundational AI infrastructure team within Qualtrics' Core AI Product Unit. We own the data mesh, ML platform, and self-service tooling that applied scientists and ML engineers across Qualtrics depend on. Our platform is built around AWS SageMaker Unified Studio and implements a governed medallion data architecture, ensuring high-quality, legally-compliant, and discoverable datasets for AI development. We operate with a product mindset - our roadmap is driven by user outcomes like time-to-first-production and researcher satisfaction, validated through close design partnerships with our customers. We care deeply about reliability, security, and cost efficiency - we run 24/7 on-call for critical services, enforce policy-as-code for data privacy, and build cost guardrails into everything we ship. We are looking for an engineer who is passionate about enabling other builders - someone who works well across disciplines, takes pride in platform quality, and can empathize with the needs of researchers and scientists who depend on our tools. Our Team's Favorite Perks and Benefits Qualtrics Annual Experience Bonus ($1,800) can be used for an experience of your choosing: concerts, vacation, event tickets, etc. Global Wellness Benefit ($1,200) reimburses employees to stay on top of their health and wellness. Quarterly team offsite team building events. Great standard benefits package (medical, dental, vision, life insurance, 401k, etc). Snacks, drinks, and free lunches in our office. The Qualtrics Hybrid Work Model: Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life. Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic. Applicants in the United States of America have rights under Federal Employment Laws: Family & Medical Leave Act , Equal Opportunity Employment , Employee Polygraph Protection Act Qualtrics is committed to the inclusion of all qualified individuals. As part of this commitment, Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your Qualtrics contact/recruiter know. Not finding a role that's the right fit for now? Qualtrics Insiders is the one-stop shop for all things Qualtrics Life. Sign up for exclusive access to content created with you in mind and get the scoop on what we have going on at Qualtrics - upcoming events, behind the scenes stories from the team, interview tips, hot jobs, and more. No spam - we promise! You'll hear from us two times a month max with fresh, totally tailored info - so be sure to stay connected as you explore your best role and company fit. . click apply for full job details

About Nscale Nscale is building the infrastructure platform for the AI era. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers, reducing the complexity of AI development and helping customers manage cost, innovate rapidly, and operate responsibly. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you'll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you'll be contributing to building the technology that powers the future. About the Role We are hiring Security Response Engineers to own what happens after an alert becomes real, across enterprise, cloud, production, data centre, and operational technology environments. Agents and a managed security service provider (MSP) hold the level 1 queue. You take escalations, decide fast, act, and then make sure the same class of problem does not come back. Half the job is response. The other half is turning what you learned into engineering work that permanently retires the issue. If you have spent years closing the same ticket every Tuesday-and knowing exactly how to fix it for good, but never having the mandate-this is the job where that is the mandate. How this function works Read this section carefully. It is not a standard SOC, and the difference is the whole point. You do not watch a queue. An in-house security agent and a contracted managed provider hold level 0 and level 1 around the clock. Work reaches you as an escalation with context already attached. Every escalation forks three ways: act, solve, or both. Act is the immediate containment. Solve is the engineering artifact you hand to the build teams so that alert class does not fire again. Most escalations are both. Your primary metric is the share of escalations permanently solved. Not tickets closed, and not mean time to close. If the same alert fires twice, we got it wrong the first time. Two classes, not five. We sort everything into risk indicator or actionable, using the SSVC model. If you have drowned in a five-tier severity scheme nobody trusted, you will like this. Follow-the-sun across hubs. Nobody works permanent nights. What you'll be doing Escalation response Take escalations from the agent and managed provider, scope them against real asset and business context, decide, and act. Execute approved containment, including isolating devices, revoking sessions, restricting access, blocking activity, and preserving evidence. Know what you can do immediately, what requires authority, and what could disrupt production if handled incorrectly. The solve Ensure every escalation exits with an engineering artifact where one is warranted: a detection requirement, telemetry gap with a business case, control change, automation, or regression test. Specify the artifact clearly enough that the team building it can act without a second conversation. You do not build it; you make the required outcome unambiguous. Investigation and evidence Build timelines from primary evidence across identity, endpoint, email, SaaS, cloud, network, production, and increasingly operational technology and building management systems, which are currently dark to us. Close every case with a security disposition, an owner, the evidence, actions taken, and any required follow-up. Detection judgement Review candidate detections auto-authored by our research loop as shadow rules and assess their inside-out coverage. Make the human judgement on whether shadow detections should be promoted to live. You do not write the detection logic, but nothing goes live without your call. Provider quality Reconcile the managed provider's case work, which lives in their platform rather than ours, against our standards. Hold the provider accountable for evidence, analysis, routing, and closure quality. Readiness Contribute to threat hunts, incident reviews, tabletop exercises, recovery tests, the on-call rotation, and keeping runbooks honest. First 90 days Independently own escalations across common classes, with defensible dispositions and evidence that stands up. Ship your first solve: an engineering artifact that permanently retires a recurring alert class. Learn the incident command, escalation, evidence, and handover model, and take a rotation slot. Review the managed provider's case quality against our standard and raise the first reconciliation findings. Judge and promote your first shadow detections to live. Take part in a threat hunt, tabletop, or recovery exercise. Name one telemetry gap with a business case behind it. Extra credit if it is in operational technology or building management systems, both of which we currently cannot see. KPIs Share of escalations permanently solved Quality and defensibility of security dispositions and evidence Containment judgement and response effectiveness Quality and actionability of engineering artifacts Managed provider quality and reconciliation About You 5+ years in security operations, incident response, threat detection, threat hunting, security engineering, or related roles. Hands-on investigation experience across endpoint, identity, cloud, SaaS, network, or production telemetry, with the ability to build a timeline from primary evidence rather than a vendor summary. Fluency in modern attacker tradecraft, including credential theft, session abuse, phishing, malware execution, persistence, privilege escalation, lateral movement, command and control, and exfiltration. You automate what you repeat, using query languages, scripting, APIs, or workflow automation. When you hit the same problem a third time, your instinct is to build-not add another step to a runbook. Sound judgement on containment under time pressure, including knowing where your authority ends. You write investigations another engineer can follow, escalations a leader can act on in thirty seconds, and case notes that still make sense to someone reading them two years later in an audit. Calm and methodical when facts are incomplete or contradict each other. Willingness to challenge automated conclusions. AI-generated analysis is an input, not an authority; we expect you to validate it and notice when it is confidently wrong. Ability to work effectively with engineering, infrastructure, and service owners who do not report to you. Strong pluses Operational technology, industrial control systems, building management systems, or critical facilities experience. We have a known gap here and will weight it heavily. Cloud infrastructure, AI infrastructure, data centres, HPC, or other availability-sensitive environments. Response experience involving ransomware, identity compromise, destructive attacks, cloud intrusion, insider threats, or supply-chain incidents. Experience holding a managed monitoring or response provider to a standard while keeping decisions in-house. Detection testing, shadow-rule validation, threat hunting, or forensic readiness. Follow-the-sun, shift-based, or on-call operations. Certifications are useful, but not required. How we will assess An investigation, end to end. Signal to evidence to scope to containment to disposition. We are listening for what you decided independently, what you escalated, and why. The solve. This is the most important answer in the process. Describe a recurring problem you permanently retired: the artifact, who built it, and how you proved it worked. Automation instinct. Tell us about recurring toil you inherited and whether you reached for a tool, a person, or a build. Judging a machine. Describe a time an alert, vendor, or model was confidently wrong and how you caught it. Writing. We may ask for a redacted investigation write-up or escalation note. Where this leads Response Engineers here develop the sharpest picture in the company of where the estate actually breaks. They are strong internal candidates for detection engineering, platform security, and identity roles as those pillars grow. We would rather grow our next engineers here than hire them all in. This role may not be a fit if you: Want a queue to work through. There is not one. Measure success in tickets closed. Close cases without a security disposition or evidence. Forward vendor alerts without validating them. Want to write detections full time. That role is real and well funded here, but it sits in another pillar; we would rather point you towards it than mis-hire you into this one. What we can offer you At Nscale, you'll find a collaborative, supportive, and innovative environment where your contributions spark real impact. We're building something extraordinary, and we want you at the core. Highly competitive US compensation package (base + bonus + equity) . click apply for full job details

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here. We're hiring a Staff Machine Learning Engineer to help drive the future of merchant presence and shopping experiences on Pinterest. This role sits on the Merchant team and focuses on building AI/ML systems (including LLMs) that identify, understand, and surface relevant, high-quality merchants across segments-so Pinners can discover new brands with greater confidence and consideration, and merchants can reach new, diverse audiences. In this role, you'll lead LLM-first, evaluation-driven initiatives-near-term focused on agentic workflows, measurement, and operational rigor that strengthen Merchant Integrity and Business Integrity. Longer term, you'll help advance core relevance capabilities such as merchant/brand affinity modeling and related signals that improve shopping discovery across Pinterest. You'll partner closely with Product Managers, Engineering Managers, Data Science, Design, and platform teams to take systems from early prototypes to reliable, scaled production. You will also serve as the technical lead for ML in this space-reporting to a Director and acting as the first ML Engineering hire in this org-helping define the technical roadmap, establish engineering standards, and lay the foundation for scaling the domain and team over time. This is a high-agency, high-impact role with direct levers on user trust, relevance, and shopping outcomes across high-traffic Pinterest surfaces (organic and paid). What you'll do: Own end-to-end technical delivery for cross-team initiatives-from problem framing and technical strategy through architecture, implementation, rollout, monitoring, and iteration. Set technical direction and execution plans in partnership with a Director and cross-functional leads, including defining milestones, sequencing, and quality bars for the domain. Build and evolve ML and GenAI systems that improve merchant quality and understanding (e.g., merchant content enrichment, attribute extraction/normalization, entity resolution, merchant/brand quality signals, and policy-aware transformations), with clear downstream impact on retrieval, ranking, and shopping surfaces. Establish robust evaluation and measurement practices across ML + LLM-assisted systems, including golden datasets, human-in-the-loop review loops, automated regression testing, offline/online metric alignment, and clear go/no-go launch criteria for quality, safety, and performance. Design systems with strong attention to quality, cost, latency, reliability, and safety, including guardrails, fallbacks, caching, and observability to support scaled production operations. Establish the ML engineering operating model for the org (where applicable): evaluation standards, launch readiness reviews, monitoring/alerting, and sustainable ownership practices to keep quality high as the roadmap scales. Partner with cross-functional stakeholders across Product, Engineering, Data Science, Design, Trust/Policy/Legal, and ML platform teams to align on goals, constraints, and rollout plans-and to turn ambiguous needs into concrete ML deliverables. Drive experimentation and iteration (A/B tests, holdouts), lead error analysis, and translate learnings into measurable improvements to user trust and shopping outcomes. Mentor and raise the bar for technical design, evaluation rigor, and production readiness across the team-enabling faster, safer iteration with AI/ML tooling and best practices. Help scale the domain by supporting hiring and onboarding over time (e.g., interview loops, onboarding plans, technical mentorship), as we build out ML engineering capacity. What we're looking for: 8+ years of industry experience in ML engineering / applied ML / software engineering, including meaningful time operating as a Staff-level (or equivalent) IC delivering complex production systems. Demonstrated ability to lead 0 1 ML/LLM efforts: taking ambiguous problem spaces, defining the approach, and delivering a production system with measurable impact. Strong track record shipping ML-powered systems in domains such as recommendation, ranking, retrieval, content understanding, ads relevance, commerce, or adjacent areas with clear product impact. Hands-on experience building LLM-powered applications in production (or adjacent GenAI systems), with strong judgment on reliability, failure modes, rollout safety, and practical tradeoffs. Deep experience with evaluation and measurement: dataset strategy, labeling/review operations, metric design, regression testing, and connecting offline improvements to online outcomes. Strong systems design skills building data- and ML-intensive systems, with the ability to navigate tradeoffs in performance, reliability, scalability, and cost. Strong communication skills and the ability to influence technical direction across teams without directly owning every implementation detail. Demonstrated experience building and enhancing cross-functional partnerships with other teams and organizations. Bachelor's degree in Computer Science, Engineering, or a related technical field-or equivalent practical experience. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. This role will need to be in the office for in-person collaboration 1-2 times per month and therefore needs to be in a commutable distance from one of the following offices: San Francisco, Palo Alto, Seattle. At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $222,716-$389,753 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Microsoft, Accenture, Salesforce, or Seattle Children's Hospital among other leading organizations in the Seattle/Bellevue Washington area. Are you eligible? You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U.S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor?s degree - You may be required to answer additional screening questions when applying What will you gain? Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Application Development - Banking - Business Operations - IT Support - Project Management - Data Analysis Get the skills and opportunity you need to launch your professional career. 72% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-five thousand dollars per year.

Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Microsoft, Accenture, Salesforce, or Seattle Children's Hospital among other leading organizations in the Seattle/Bellevue Washington area. Are you eligible? You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U.S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor?s degree - You may be required to answer additional screening questions when applying What will you gain? Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Application Development - Banking - Business Operations - IT Support - Project Management - Data Analysis Get the skills and opportunity you need to launch your professional career. 72% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-five thousand dollars per year.

Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Microsoft, Accenture, Salesforce, or Seattle Children's Hospital among other leading organizations in the Seattle/Bellevue Washington area. Are you eligible? You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U.S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor?s degree - You may be required to answer additional screening questions when applying What will you gain? Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Application Development - Banking - Business Operations - IT Support - Project Management - Data Analysis Get the skills and opportunity you need to launch your professional career. 72% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-five thousand dollars per year.

Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Microsoft, Accenture, Salesforce, or Seattle Children's Hospital among other leading organizations in the Seattle/Bellevue Washington area. Are you eligible? You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U.S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor?s degree - You may be required to answer additional screening questions when applying What will you gain? Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Application Development - Banking - Business Operations - IT Support - Project Management - Data Analysis Get the skills and opportunity you need to launch your professional career. 72% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-five thousand dollars per year.

Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Microsoft, Accenture, Salesforce, or Seattle Children's Hospital among other leading organizations in the Seattle/Bellevue Washington area. Are you eligible? You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U.S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor?s degree - You may be required to answer additional screening questions when applying What will you gain? Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Application Development - Banking - Business Operations - IT Support - Project Management - Data Analysis Get the skills and opportunity you need to launch your professional career. 72% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-five thousand dollars per year.

Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization. Come work on the Amazon Prime Air Team! Prime Air is seeking an experienced Battery/BMS engineer to aid the development and scaling of the Production and Field Operations of the electrical propulsion system of Prime Air Drones. This role will require you to dive deep into root cause analysis, troubleshoot in a lab environment, develop mitigations, and drive future solutions for the Battery and the operations regarding it. You will also be responsible for documenting and developing streamlined workflows to deliver corrective actions, interfacing with supply chain and external vendors, and applying this knowledge into production-level test systems to help mitigate issues on future Battery systems and Solutions. Key job responsibilities - Troubleshooting with hardware/software interfaces - Root cause analysis on hardware failures across the electrical propulsion subsystem - Providing corrective actions - Implementing changes in production-level hardware/software - Diving deep in to Battery Cells, production, charging methods, etc. BASIC QUALIFICATIONS- 4+ years of working in mechanical engineering or equivalent experience - Experience in 3D CAD - Experience using common electronics test equipment (oscilloscopes, power supplies, function generators, etc) - Knowledge of Battery Design, Maintenance and Charging logic PREFERRED QUALIFICATIONS- Experience in root cause analysis and troubleshooting or problem solving - 3+ Years of Experience with Battery Design, Management and Charging Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 117 000.00 USD annually

Weyerhaeuser is seeking a Principal AI Architect to lead enterprise AI strategy across our sustainable manufacturing and forestry operations. You will design scalable, secure AI and ML architectures that optimize mill performance, supply chains, and forest resource management. Partnering with data, IT, and business leaders, you will define the AI roadmap, establish MLOps and governance, and guide end-to-end solution delivery from data ingestion to production deployment. This role blends deep technical leadership with meaningful impact on safety, sustainability, and long-term environmental stewardship. Responsibilities Define and own the enterprise AI architecture roadmap for manufacturing and forestry operations. Design scalable, secure AI and ML platforms and reference architectures. Collaborate with data, IT, and business leaders to identify high-impact AI use cases. Oversee end-to-end AI solution delivery, from data pipelines to model deployment. Establish MLOps, governance, and best practices for model lifecycle management. Ensure AI solutions align with safety, sustainability, and regulatory requirements. Mentor engineers, data scientists, and analysts on AI architecture and standards. Evaluate and integrate emerging AI technologies relevant to manufacturing and forestry. Required Skills AI architecture Machine learning MLOps Cloud platforms (AWS/Azure/GCP) Data engineering Python Model deployment Data governance Manufacturing analytics Solution design