🚀 Join the Future of Commerce with Whatnot! Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our values. With hubs in the US, UK, Germany, Ireland, Poland, and Australia, we’re building the future of online marketplaces –together. From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone. And we’re just getting started! As one of the fastest growing marketplaces, we’re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce. 💻 Role We’re looking for hands-on builders–intellectually curious, deeply technical leaders eager to shape the future of AI and ML at Whatnot. You’ll lead the development and scaling of the core infrastructure that powers machine learning and self-hosted large language model applications across the company, working side by side with machine learning scientists to bring cutting-edge models powered by near-realtime features into production and unlock entirely new product experiences. This means building systems that make advanced ML dependable and fast at scale–from low-latency deep learning model serving and streaming feature ingestion to distributed training and high-throughput GPU inference. This is a role that requires strong technical depth–potential candidates should be excited about getting and staying in the weeds. You will be expected to up-level architectural discussion, provide technical feedback, and code at least a day a week. What you'll do: - Own the infrastructure powering AI and ML models across critical business surfaces–supporting growth, recommendations, trust and safety, fraud, seller tooling, and more. - Guide the prototyping, deployment, and productionization of novel ML architectures that directly shape user experience and marketplace dynamics. - Help design and scale inference infrastructure capable of serving large models with low latency and high throughput. - Oversee and evolve real-time feature pipelines that feed both our online and offline stores, ensuring single-second feedback from behavioral signals, high reliability, and model training fidelity. - Drive feature platform improvements and expand scope to cover non-ML use cases such as fraud rules where point-in-time backtesting is also critical. - Lead the development of distributed training and inference pipelines leveraging GPUs and both model and data parallelism. - Optimize system performance by managing resource utilization and developing intelligent feature caching strategies. - Empower scientists to iterate faster by building abstractions, APIs, and developer tools that simplify the development of near-realtime features and model iteration. - Roll out ever-better ergonomics around model training and deployment. - Stretch beyond your comfort zone to take on new technical challenges as we scale AI across Whatnot’s ecosystem. US Based: We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, Los Angeles, and San Francisco hubs. 👋 You Curious about who thrives at Whatnot? We’ve found that low ego, a growth mindset, and leaning into action and high impact goes a long way here. As our next Tech Lead Manager, ML Platform you should have 1+ years of TLM experience developing production machine learning systems at consumer-scale loads, plus: - Bachelor’s degree in Computer Science, Statistics, Applied Mathematics or a related technical field, or equivalent work experience. - 5+ years of hands-on software engineering experience building and maintaining production systems for consumer-scale loads. - 1+ years of professional experience developing software in Python - Ability to work autonomously and drive initiatives across multiple product areas and communicate findings with leadership and product teams. - Experience with operational, search, and key-value databases such as PostgreSQL, DynamoDB, Elasticsearch, Redis. - Experience working with with ML-specific tools and frameworks such as MLFlow, LitServe, TorchServe, Triton - Firm grasp of visualization tools for monitoring and logging e.g. DataDog, Grafana. - Familiarity with cloud computing platforms and managed services such as AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS, Apache Kafka, Flink. - Professionalism around collaborating in a remote working environment and well tested, reproducible work. - Exceptional documentation and communication skills. 💰Compensation For US-based applicants: $255,000 - $345,000/year + benefits + stock options The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity in the form of stock options. 🎁 Benefits - Generous Holiday and Time off Policy - Health Insurance options including Medical, Dental, Vision - Work From Home Support - Home office setup allowance - Monthly allowance for cell phone and internet - Care benefits - Monthly allowance for wellness - Annual allowance towards Childcare - Lifetime benefit for family planning, such as adoption or fertility expenses - Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally - Monthly allowance to dogfood the app - All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!). - Parental Leave - 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. 💛 EOE Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.

Location: 2727 N Central Ave, Phoenix, Arizona 85004 United States of America This position is remote, but you must live in Phoenix, Arizona. We are unable to provide current or future sponsorship at this time. U-Haul is searching for a Senior Software Developer to join our Payment Integrations team. Come join a financially stable and ever-expanding IT organization to be part of the quest to elevate us to the next level. About U-Haul IT Team: The technology staff at U-Haul understands that exceptional software and systems designs are integral to not only serving our users but enabling us to be the leaders in software development within our industry. Ability to quickly pivot as demands arise are supported by a foundation of emphasis on Agile team collaboration that are key to delivering world class solutions. No idea too small, no endeavor too big as we embrace the mantra everyone is capable to contribute value and that the total effectiveness of a group interacting with one another is far greater than the sum of its parts. Our work environment promotes self-management with flexible hours as well as full-time work from home. About the Job: The Payment Integrations team builds both customer-facing web applications and internal tools to manage the end-to-end payments process at U-Haul. If you’re passionate about using technology to create positive customer experiences, this is the team for you. Salary range: $85,000-$110,000 annually. What We’re Looking For: We need a full-stack software developer with strong back-end experience and a willingness to grow into new technologies. Even if you don’t meet every qualification, we encourage you to apply. Required Technical Skills: - Back-End Development: C#, .NET Core, ASP.NET MVC, ASP.NET Web API, SQL - Front-End Development: HTML, CSS, JavaScript/JQuery, Typescript - Version Control & DevOps: Git, Azure DevOps - Architecture & Design: Microservices, design patterns, and coding best practices Preferred Skills: - Experience with payment terminals (Ingenico) and Point of Sale (POS) systems - Blazor Web Assembly - Azure API Management - Dynatrace - Kafka - Understanding of Agile and Scrum Methodologies - Bootstrap Education: - At least 3+ years’ experience developing in Microsoft technology stack - Bachelor's degree in computer science engineering, technology, or related field  - Must be a U.S. citizen or have proof of U.S. employment authorization for this position. We are unable to provide current or future sponsorship for this position. Perks of joining the U-Haul fleet: Get your career moving with a company who empowers team members to the healthiest version of themselves! We provide robust wellness benefits, events, and resources to help team members becomes the happiest and healthiest they can be. U-Haul Offers: - Full Medical coverage - Prescription plans - Dental & Vision Plans - Registered Dietitian Program  - Weight Watchers  - Onsite medical clinic for you and your family - Career stability - Opportunities for advancement - Valuable on-the-job training - Tuition reimbursement program - Free online courses for personal and professional development at U-Haul University® - Business and travel insurance - You Matter Employee Assistance Program - Paid holidays, vacation, and sick days  - Employee Stock Ownership Plan (ESOP) - 401(k) Savings Plan - Life insurance - Critical Illness/Group Accident - 24-hour physician available for kids - Subsidized gym/ membership - MetLaw Legal program - MetLife auto and home insurance - Mindset App Program - Discounts on cell phone plans, hotels, and more - LifeLock identity Theft - Savvy consumer wellness programs- from health care tips to financial wellness - Dave Ramsey’s SmartDollar Program - U-Haul Federal Credit Union - Wellness Programs U-Haul Holding Company, and its family of companies including U-Haul International, Inc. (“U-Haul”), continually strives to create a culture of health and wellness. Consistent with applicable state law, U-Haul will not hire or re-hire individuals who use nicotine products. The states in which U-Haul will decline to hire nicotine users are: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Pennsylvania, Texas, Utah, Vermont, Virginia, and Washington. U-Haul has observed this hiring practice since February 1, 2020 as part of our commitment to a healthy work environment for our team. U-Haul is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, physical or mental disability, veteran status, or any other basis protected by applicable federal, provincial, state or local law. Individual accommodations are available on requests for applicants taking part in all aspects of the selection process. Information obtained during this process will only be shared on a need to know basis.

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary Who You Are: - A seasoned security leader with the ability to develop and review code when necessary, and with a deep understanding of foundational software‑engineering paradigms—specifically the distinctions and appropriate use cases for objects (runtime instances), classes (architectural blueprints), and functions (discrete units of logic). - Strong passion and thorough understanding of what it takes to build and operate secure, reliable systems at scale. - Strong passion and technical expertise to automate security functions via code, including pipeline and workflow automation. - Strong technical expertise with Application, Cloud, Data, and Network Security best practices. - Strong technical expertise with multi-cloud environments, including container/serverless and other microservice architectures. - Strong technical expertise with older technology stacks, including mainframes and monolithic architectures. - Strong technical expertise with SDLC, CI/CD tools, Deployment Automation, and pipeline orchestration. - Strong technical expertise with operating security for Windows Server and Linux Server systems. - Strong technical expertise with configuration management, version control, and DevOps operational support. - Strong experience with implementing security measures for both applications and data, with an understanding of the unique security requirements of data warehouse technologies. - Experience with reporting and visualization tools such as Power BI, BigQuery, Tableau, or similar platforms. - Ability to create and deliver executive-level reporting and dashboards for leadership visibility. Role Responsibilities: Development & Enforcement - Develop and enforce engineering security policies and standards. - Develop and enforce data security policies and standards. - Drive security awareness across the organization. Collaboration & Expertise - Collaborate with Engineering and Business teams to develop secure engineering practices. - Serve as the Subject Matter Expert for Application Security. - Work with cross-functional teams to ensure security is considered throughout the software development lifecycle. Automation & Optimization - Design and implement automated workflows for security processes across CI/CD pipelines, reducing manual intervention and improving consistency. - Automate manual reporting tasks by building scripts, dashboards, and integrations that provide real-time visibility into security posture, vulnerability status, and compliance metrics. - Integrate security controls into CI/CD pipelines (e.g., automated scanning, policy enforcement, and remediation workflows) to ensure security gates are embedded in the development lifecycle. - Develop orchestration strategies for pipeline automation using tools like GitHub Actions, Jenkins, or Azure DevOps, ensuring security checks are triggered automatically during build and deployment phases. - Develop and maintain executive-level reporting dashboards using tools like Power BI, Tableau, or BigQuery to provide actionable insights to leadership. Analysis & Configuration - Analyze, develop, and configure security solutions across multi-cloud, on-premises, and colocation environments, ensuring application security, integrity, confidentiality, and availability of data. - Lead security testing, vulnerability analysis, and documentation. Operational Support - Participate in operational on-call duties to support infrastructure across multiple regions and environments (cloud, on-premises, colocation). - Develop incident response and recovery strategies. Required Qualifications: - 5+ years of experience in developing and deploying security technologies. - 5+ years with modern SDLC and CI/CD practices, emphasizing pipeline automation and security integration. - 3+ years remediating vulnerabilities from Static Analysis, Open-Source Scanning, Mobile Scanning (DataTheorem or similar platform), and API Scanning (Apiiro, Koi Security). - 3+ years of experience with Docker, Kubernetes, Security-as-Code, and Infrastructure-as-Code. - 3+ years of experience with one or more general-purpose programming/script languages including but not limited to: Java, C/C++, C#, Python, JavaScript, Shell Script, PowerShell. - 1+ year of experience building reports and dashboards using visualization tools (Power BI, Tableau, BigQuery, or similar). Preferred Qualifications: - Proficiency in Public Cloud (AWS/Azure/GCP) & Network Security. - Strong experience with implementing and managing data protection measures and compliance with data protection regulations (e.g., GDPR, CCPA). - Strong technical expertise with Architecting Public Cloud solutions and processes. - Strong technical expertise with Networking and Software-Defined Networking (SDN) principles. - Strong technical expertise with developing and interpreting Network, Sequence, and Dataflow diagrams. - Familiarity with OWASP Application Security Verification Standard. - Experience with direct, remote, and virtual teams. - Understanding of at least one compliance framework (HIPAA, HITRUST, PCI, NIST, CSA). - Strong technical expertise with Static Analysis, Open Source Scanning, Mobile Scanning, and API Scanning security solutions for data warehouses and big data platforms, particularly with technologies like Snyk, Apiiro, Koi Security, jFrog Curation. - Strong technical expertise in defining and implementing cyber resilience standards, policies, and programs for distributed cloud and network infrastructure, ensuring robust redundancy and system reliability. - Experience creating executive-level reporting and presenting security metrics to leadership. - Experience building automated reporting solutions using APIs, scripting, and visualization tools (e.g., Power BI, Grafana, or custom dashboards). - Experience with pipeline orchestration tools and CI/CD automation frameworks to embed security gates and compliance checks. Education - A Bachelor’s degree or equivalent experience (High School Diploma and 4 years relevant experience) Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $83,430.00 - $222,480.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: - Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. - No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. - Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit https://jobs.cvshealth.com/us/en/benefits We anticipate the application window for this opening will close on: 03/12/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

• Analyzing, designing, and implementing systems software that brings new functionality and increased accuracy, reliability and performance to our mapping system • Evolving complex algorithms to best respond to unpredictable traffic patterns on the global Internet • Improving the scalability, robustness, and ease of use of our software systems for testing, deployment, monitoring and maintenance • Becoming a subject matter expert for our systems, explaining and improving our software, and assisting with troubleshooting • Measuring, assessing, and tuning the effects of our global control systems