25 jobs found

Senior Back-End Developer (Cloud & IoT) We're looking to connect with experienced Back-End Engineers who enjoy building the cloud platforms behind connected IoT products, smart devices, and real-time video applications. We're looking for engineers with experience in: -Java backend development -AWS cloud services & scalable distributed systems -RESTful APIs powering mobile applications and connected devices -Kubernetes, DynamoDB & Git -Secure, high-performance cloud services -Automated testing and modern software engineering practices Bonus if you've worked with: Smart home or consumer electronics products IoT ecosystems and cloud-connected devices Real-time video streaming or media platforms Device-to-cloud communication and large-scale backend infrastructure This is a product-focused engineering role where you'll build the cloud services powering next-generation connected cameras and IoT experiences used by customers around the world. Interested or know someone who'd be a great fit? Feel free to message me directly! By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided 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 contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.

Senior Automation Testing Engineer Overview We are seeking a Senior Automation Testing Leader / Senior Automation Testing Engineer to own and build the quality engineering and test automation function for an AI-powered healthcare technology platform. In this role, quality directly impacts patient access to healthcare. A broken call flow can prevent a patient from reaching their physician, making quality assurance an important part of the overall patient experience. This is not a traditional manual QA position. The role is focused on test automation, framework design, automation strategy, scalable QA processes, AI-assisted testing techniques, and building a future QA organization. What You'll Do Automation Strategy & Leadership Own the overall quality engineering vision and automation strategy for an AI-powered voice platform. Design, build, and maintain scalable automated testing infrastructure from the ground up. Establish testing standards, best practices, and quality metrics across engineering teams. Recruit, mentor, and eventually lead future QA and automation testing team members. Help drive a culture of quality throughout the organization. Testing Architecture & Framework Development Design and implement automated testing frameworks covering unit testing, integration testing, end-to-end testing, regression testing, and load/performance testing. Build reusable test harnesses and tooling that enable engineers to efficiently create and execute tests. Develop simulation frameworks for real-time voice and conversational AI workflows. Create testing methodologies that can scale with rapid product growth. AI & Voice Platform Testing Build simulation and regression frameworks for conversational AI scenarios. Develop testing approaches for real-time voice interactions and telephony workflows. Leverage AI-assisted testing techniques to improve coverage and efficiency. Validate agent behaviors, routing logic, integrations, and patient call flows before production deployment. Platform & Integration Quality Partner with platform, provisioning, and integrations teams to ensure comprehensive coverage across system boundaries. Test APIs, backend services, event-driven systems, and third-party integrations. Own test environments and CI/CD integration for automated execution. Investigate production issues and lead root cause analysis efforts. Compliance & Reliability Develop testing approaches that support HIPAA and healthcare compliance requirements. Help ensure platform reliability, scalability, and quality standards are consistently maintained. Drive preventative quality initiatives that reduce production defects and customer-impacting issues. Required Qualifications 10+ years of experience in software quality engineering with a strong emphasis on automation. Proven track record designing and owning automation frameworks from the ground up. Expertise in automated testing architecture and test harness design. Strong experience building scalable QA processes and automation strategies. Experience leveraging AI-assisted testing methodologies. Proficiency with Python, TypeScript, or similar programming languages. Strong scripting, tooling, and automation development skills. Experience integrating automated testing into CI/CD pipelines. Hands-on experience with GitHub Actions, Jenkins, or similar tools. Deep understanding of unit testing, integration testing, end-to-end testing, regression testing, and performance testing. Experience testing APIs, backend services, and distributed/event-driven architectures. Strong debugging and analytical skills. Demonstrated ability to elevate quality standards across engineering organizations. Startup mentality with a willingness to build processes, frameworks, and teams from scratch. Ability to operate as both an individual contributor and future people leader. Preferred Qualifications Experience testing real-time systems. Experience with telephony platforms, call routing systems, or voice technologies. Experience testing conversational AI or AI-powered applications. Load and performance testing experience in high-throughput environments. HIPAA-regulated healthcare experience. Experience in compliance-heavy environments. Contract testing experience. Service virtualization experience. Previous experience building or leading QA organizations. Ideal Candidate Can design testing frameworks from the ground up. Can build and execute an automation-first quality strategy. Understands how to leverage AI to improve testing effectiveness and efficiency. Can create scalable quality processes that grow with the business. Can build sophisticated test harnesses and simulation environments. Thrives in a fast-paced startup-style environment. Operates as a strategic quality leader rather than a traditional manual tester. Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided 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 contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring . click apply for full job details

Vaco is partnering with a national wealth management technology organization to hire a Senior Software Engineer focused on backend .NET development, API design, and modernization of core platform applications. This role will be part of a new Tempe-based engineering team and will serve as one of the most senior individual contributors locally. The immediate focus is modernizing legacy applications, including rewriting older systems into modern .NET. This is a backend-heavy role centered on C#, .NET, SQL databases, API design, and integrations across multiple data sources and third-party systems. There may be some front-end exposure, but dedicated front-end developers handle most React work, so the strongest fit will be someone who is much deeper in backend engineering than UI development. This role is based in Tempe and requires onsite presence four days per week. What You'll Be Doing Design, build, test, and deploy backend services and APIs using C#, .NET, and modern engineering practices Support modernization efforts by helping rewrite legacy systems into modern .NET architecture Develop scalable API and integration patterns for data ingestion across multiple internal and third-party sources Work with SQL Server and related database technologies to build reliable, data-centric applications Translate product requirements and architecture guidance into maintainable, production-ready software Author technical design documentation and participate in design reviews for significant changes Build resilient integrations with clear contracts, versioning strategies, error handling, logging, and observability Write clean, testable code and contribute to unit, integration, and end-to-end testing practices Participate in code reviews focused on performance, maintainability, resiliency, and secure coding Troubleshoot production issues, support root-cause analysis, and improve application reliability Partner with product, architecture, QA, DevOps, and engineering peers in Agile delivery cycles Mentor junior and mid-level engineers while helping raise engineering standards across the team Required Experience 7 or more years of professional software engineering experience delivering production systems Strong backend development experience with C#, .NET, and modern .NET frameworks Experience modernizing legacy applications or incrementally improving older systems Strong SQL database experience, including SQL Server or comparable relational databases Experience designing and building RESTful APIs and integration layers Experience with third-party API integrations and data ingestion from multiple sources Experience writing unit and integration tests and working within CI/CD delivery practices Experience working in Agile or Scrum environments with cross-functional teams Strong communication skills with the ability to explain technical decisions clearly Ability to operate as a senior individual contributor and mentor other engineers Nice to Have Azure cloud experience, including App Services, Azure Functions, Azure SQL, Azure API Management, Azure Service Bus, Azure VMs, Cosmos DB, or Azure Storage AWS or other cloud platform experience Experience with .NET 8, .NET 9, or modern Microsoft application modernization efforts Exposure to React or ASP.NET front-end development Experience in financial services or another regulated industry Experience leading technical design reviews or guiding engineering standards Compensation & Benefits Base salary up to $150,000, depending on experience 10% bonus opportunity 401(k) with employer match Generous PTO If you are a senior backend .NET engineer who enjoys modernization work, API design, and building reliable systems in a high-quality engineering environment, we would welcome the opportunity to connect. Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided 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 contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Shape the Future of Enterprise AI at Scale We are looking for a seasoned Software Architect (Sr. Consultant title at Visa) to join our Corporate Generative AI Technologies team. In this role, you will help architect, build, and scale enterprise-grade Generative AI and agentic applications. This is a senior, hands-on engineering role for someone who brings strong system design judgment, full-stack product engineering depth, and the ability to translate complex business workflows into scalable, reliable AI-enabled automation solutions. You will work on platforms and applications that use AI-native application patterns, including large language models, agentic workflows, retrieval-augmented generation, tool orchestration, API integrations, ETL pipelines, and data systems to transform business processes into intelligent, reliable, and scalable workflows. You will help solve hard engineering problems such as decomposing complex workflows into reusable agents, designing secure human-in-the-loop systems, and building production-grade GenAI applications that can be monitored, evaluated, governed, and continuously improved. As a Senior Consultant (Staff Software Architect), you will operate with a high degree of autonomy, ownership, and technical judgment while collaborating closely with your manager and the broader engineering team to align on technical direction. You will be responsible for building high-quality software while also influencing system design decisions, architectural direction, engineering standards, and best practices across the team. Key Responsibilities Design, build, and scale enterprise-grade GenAI and agentic applications, with a strong focus on maintainable, secure, scalable, reliable, and production-ready architecture. Own architecture and delivery of major GenAI subsystems; lead design reviews; mentor I4/I5 engineers; define reusable patterns and production standards. Apply strong system design judgment to build full-stack, production-grade applications with robust API design, workflow orchestration, secure data flows, observability, and operational readiness. Build modern frontend experiences using React and established frontend patterns, including component-based architecture, state management, reusable UI components, accessibility, performance optimization, and seamless integration with backend APIs and AI-enabled services. Design and implement scalable backend services using Python, Node.js, and/or Java, including secure APIs, asynchronous processing, background jobs, authentication, authorization, logging, error handling, and system resiliency. Work with databases like PostgreSQL, Redis, vector databases, and related technologies, including schema design, indexing strategies, query optimization, transaction management, caching patterns, migrations, and data access patterns. Implement backend capabilities for AI-enabled and agentic workflow automation, including intent routing, agent orchestration, tool execution, API integrations, data retrieval, multi-step execution, workflow state management, human approval flows, guardrails, auditability, and enterprise system integration. Develop AI-native capabilities using OpenAI, Anthropic, and related LLM APIs/SDKs, including prompt orchestration, tool/function calling, structured outputs, streaming responses, model routing, and evaluation patterns. Apply deep knowledge of modern LLM capabilities to make informed engineering decisions around model selection, context management, latency, cost, reliability, output quality, safety, and user experience. Design and implement retrieval-augmented generation solutions, including ingestion pipelines, ETL workflows, embeddings, vector database integration, retrieval strategies, relevance ranking, grounding, and retrieval quality evaluation. Build and deploy cloud-native applications using containers, DevOps practices, CI/CD pipelines, automated testing, monitoring, and operational automation. Work closely with engineering teammates and cross-functional partners to align with team priorities, translate ambiguous requirements into proof-of-concepts, then evolve them into production-quality solutions through shared ownership and hands-on collaboration. Implement observability and operational excellence for GenAI applications, including end-to-end tracing, workflow telemetry, model evaluation, and monitoring to ensure secure, reliable, and production-ready AI systems. Technical Skills: Languages & Frameworks: Python, FastAPI, LangGraph Cloud & Infrastructure: AWS, Azure, Docker, Kubernetes, ECS DevOps: Git, CI/CD pipelines Anthropic / OpenAI SDKs, MCP, A2A Databases & Storage: Pinecone, Redis, PostgreSQL Monitoring & Governance: Prometheus, Grafana, audit logging, access control Frontend: ReactJS, HTML, CSS, JavaScript Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. At least 8 years of experience designing, building, and operating complex distributed software systems in production environments. Strong background in software architecture, distributed systems, API design, cloud-native platforms, and data-intensive applications. Experience with cloud platforms, containerized environments, CI/CD systems, and observability tooling. Hands-on experience with React and backend development using Python, Node.js, Java, or similar languages. Strong communication skills with the ability to translate complex technical concepts to business stakeholders Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD Experience building AI-enabled, data-driven, workflow automation, search, conversational, or machine learning-powered applications is highly valued. Direct experience with Generative AI technologies, LLMs, RAG architectures, or agentic systems is preferred but not required for candidates with exceptional software architecture and distributed systems experience. Experience driving technical strategy and influencing architectural direction across organizations. Expertise in system design tradeoffs involving scalability, security, reliability, performance, cost, and developer productivity. Deep understanding of modern LLM ecosystems, agent frameworks, retrieval architectures, and enterprise AI deployment patterns. Familiarity with modern AI architectures including agentic workflows, memory systems, tool orchestration, MCP, and A2A frameworks Proven ability to lead cross-functional AI initiatives, including PoC development, stakeholder alignment, and enterprise rollout. Information for US Applicants For roles located in the US, the estimated salary range for this position is $162,500.00 to $ 260,400.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Software Development Engineers are expert problem-solvers and builders who design, implement, and improve software applications and systems. In this role, engineers spend approximately 60-75% of their time coding, working hands-on with code, data, and modern tools (including AI-assisted development, cloud services, and automation frameworks) to deliver secure, scalable, and high-quality technology solutions that drive business outcomes in the fintech sector. They collaborate with cross-functional teams - product managers, designers, data scientists, QA, operations, and compliance - to translate business requirements into robust technical solutions, all while adhering to best practices, security standards, and regulatory requirements. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work. Key Responsibilities: Collaborate with stakeholders to interpret requirements for project components and incorporate feedback into future designs or solution fixes. Translate business requirements by verifying assumptions and escalating potential design issues to appropriate stakeholders. Participate in system design and architecture, refining code plans and contributing to design documentation. Contribute to project estimation and escalate issues that may cause delays. Develop, implement, and maintain code for products, services, or components, applying coding patterns, guidelines, and best practices. Apply debugging tools to verify assumptions and proactively flag issues before they occur. Participate in code reviews to ensure coding standards are followed and address routine pull requests. Create test plans and configure testing procedures to identify and resolve defects for multiple features. Respond to support requests during on-call rotations, troubleshooting issues and deploying fixes under guidance. Leverage and build knowledge of software developer tools to create, debug, and maintain code for components. Remain current in skills by investing time in training resources to improve product availability, reliability, efficiency, observability, and performance. This is a hybrid position. Expectationof days in the office will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 2 or more years of work experience with a Bachelor's Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD) Preferred Qualifications: 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD). 3+ years of relevant work experience and a Bachelor's degree, OR 5+ years of relevant work experience. Experience in technologies/software systems or a directly related field (minimum two years). Experience in developing and/or implementing web-based applications including front-end and backend (minimum two years). Experience in system design and architecture for product components. Experience in debugging and troubleshooting software issues. Experience in code review and applying coding standards. Experience in test planning and execution for software features. Experience in responding to support requests and deploying fixes. Experience in using software developer tools for code creation and maintenance. Experience in Compliance is a plus Experience building and testing enterprise-scale web services (minimum one year). Experience working on client-facing project or technical teams (minimum one year). Experience in integrating feedback into design and solution fixes. Experience in mentoring junior engineers and collaborating with cross-functional teams. Experience with Generative AI (GenAI) - LLM agents, RAG systems, NLP, AI assisted investigations Information for US Applicants For roles located in the US, the estimated salary range for this position is $123,000.00 to $ 190,900.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Staff Software Engineers are senior technical leaders and system thinkers who define, architect, and drive the delivery of complex, large-scale software systems. In this role, engineers spend approximately 50-65% of their time in hands-on technical work - coding, architecting, prototyping, and reviewing - while dedicating the remainder totechnical leadership, cross-functional alignment, and engineering excellence initiatives. Staff Engineers work withmodern tools and platforms (including AI-assisted development, cloud-native services, and automation frameworks) todeliver secure, scalable, and high-quality technology solutions that create measurable business impact in the fintechsector. They operate as force multipliers - partnering with engineering managers, product leads, architects, datascientists, compliance, and operations to shape technical strategy, resolve ambiguity, and raise the engineering baracross teams and disciplines. All roles require digital fluency, including the ability to work with and advocate for emerging technologies such asGenerative AI tools (e.g. GitHub Copilot, ChatGPT, Claude) to accelerate engineering velocity, improve code quality,and support everyday technical decision-making. Key Responsibilities: Collaborate with stakeholders to determine requirements for product components and incorporate feedback into future designs or solutions. Translate functional requirements into system designs and communicate component interactions, ensuring alignment with business needs and timelines. Design and develop product components, refine code plans, and lead design reviews to ensure completeness and adherence to requirements. Contribute to project estimation, considering delivery costs and escalating issues that may cause delays. Lead by example in creating, implementing, and maintaining extensible, reusable code, and drive code quality through metrics and best practices. Apply debugging tools to resolve moderately complex issues and identify opportunities for automation across products. Lead code reviews, ensuring adherence to coding standards and providing feedback to team members. Create complex test plans, identify test gaps, and proactively address defects to minimize customer impact. Leverage data analysis and monitoring standards to identify patterns and defects in all environments. Respond to incidents during on-call rotations, troubleshoot complex issues, and assist in incident response and resolution. Build, enhance, and identify new developer tools to support programs and applications. Proactively seek new knowledge and adapt to trends and technical solutions to improve product performance and recommend resources to other engineers. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 5+ years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. Preferred Qualifications: 5+ years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. 6 or more years of work experience with a Bachelor's Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD. Experience in software engineering or a directly related field. Experience in developing full stack (frontend+backend) and/or implementing web-based or mobile applications using AI tools. Experience in a leadership role with or without direct reports. Experience in technologies/software systems or a directly related field. Experience in creating and maintaining test plans and executing testing procedures. Experience in debugging and troubleshooting software issues. Experience in collaborating with cross-functional teams to deliver technical solutions. Experience in code review and applying coding standards. Experience in building or enhancing developer tools. Experience working with container-based technologies. Experience building and testing enterprise-scale web services. Experience in product development. Experience working on client-facing project or technical teams. Information for US Applicants For roles located in the US, the estimated salary range for this position is $146,200.00 to $ 233,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

About the Role We are seeking an enthusiastic and motivated Junior Software Engineer to join our API Engineering team. In this role, you will help design, develop, test, document, and support REST APIs that power business applications, partner integrations, and client-facing services. You will work closely with senior engineers, architects, product managers, quality engineers, and platform teams to learn and apply modern software engineering practices while contributing to secure, scalable, and reliable APIs. This position is ideal for an early-career engineer who is eager to grow in backend development, systems integration, and API design, and who enjoys solving technical problems in a collaborative, mentorship-driven environment. Key Responsibilities API Development Assist in designing, developing, and maintaining RESTful APIs and backend services under the guidance of senior engineers. Build and maintain reusable components, libraries, and integration services. Help ensure APIs meet performance, reliability, and security requirements. Learn and apply API versioning and lifecycle management practices. Troubleshoot and help resolve API and integration issues across development and testing environments, escalating complex issues as needed. Documentation & Knowledge Sharing Create and maintain clear API and integration documentation, including API specifications, developer guides, and usage examples. Document technical work, implementation notes, and lessons learned. Contribute to team knowledge repositories and engineering best practices. Integration & Architecture Support the development of integrations between internal systems, external partners, and cloud services. Follow enterprise architecture standards when implementing API solutions. Learn and contribute to microservices and event-driven integration patterns. Assist with API gateway onboarding and basic policy implementation tasks. Quality Engineering Write unit, integration, and automated API tests with guidance from senior team members. Participate in peer code reviews and design reviews to learn team standards. Support CI/CD pipeline usage and basic deployment automation tasks. Help identify reliability, performance, and maintainability issues. Security & Compliance Learn and apply secure authentication and authorization mechanisms such as OAuth 2.0 and JWT. Follow secure coding practices and enterprise security requirements. Support vulnerability remediation activities as directed. Help ensure appropriate logging and monitoring is implemented in the services you build. Collaboration Actively participate in Agile/Scrum ceremonies and engineering planning activities. Collaborate with product, architecture, security, and operations teams. Communicate progress, questions, and technical ideas clearly to teammates and mentors. Seek feedback and apply it to continuously improve technical skills. Required Qualifications Education Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field (or equivalent practical experience, including internships, bootcamps, or personal projects). Experience 0-2 years of professional software development experience (internships, co-ops, and academic projects are valued). Some exposure to building or consuming REST APIs, through coursework, internships, or personal projects. Familiarity with at least one backend language/framework such as Java, C#, .NET, or Spring Boot. Basic experience with Git-based source control. Technical Skills Basic understanding of REST API principles and HTTP protocols. Familiarity with JSON and API integration concepts. Basic understanding of relational databases and SQL. Foundational knowledge of software design patterns and object-oriented programming. Willingness to learn API security concepts, including OAuth 2.0 and JWT. Exposure to automated testing frameworks (unit testing) is a plus. Interest in or coursework experience with cloud platforms such as Microsoft Azure. Curiosity about containerization technologies such as Docker and Kubernetes. Eagerness to learn CI/CD pipelines and DevOps practices. Preferred Qualifications Coursework, certifications, or personal projects involving Microsoft Azure. Exposure to messaging or event-driven concepts (e.g., Kafka, RabbitMQ, Azure Service Bus). Experience writing basic technical documentation. Familiarity with monitoring/logging concepts. Internship or academic experience in financial services, fintech, or other regulated industries. What We Value Strong desire to learn and grow as a software engineer. Analytical and problem-solving mindset. Attention to detail and commitment to writing quality code. Strong written and verbal communication skills. Ability to collaborate effectively and accept mentorship in a team environment. Growth mindset and willingness to adopt new technologies. Ownership mindset with the ability to drive assigned tasks to completion with support. Core Technologies REST APIs (foundational) Java, Spring Boot, C#, or .NET Git SQL Databases Basic OAuth 2.0 / JWT concepts Nice to Have Technologies Microsoft Azure Docker / Kubernetes (exposure) CI/CD Pipelines Kafka or similar messaging platforms Desired Traits Strong foundational engineering skills Eagerness to learn cloud-native development Security-aware mindset Good communication and documentation habits Ability to work effectively in Agile teams with mentorship Passion for building reliable software and growing into a stronger engineer Role Summary This job description is aligned for an entry-level/junior engineer joining an Azure-based REST API platform team. The role emphasizes hands-on learning, mentorship, and gradual ownership of API development, integrations, testing, documentation, and cloud-native application delivery under the guidance of senior engineers. Salary Range: $70,000 - $118,750 Annual The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ. Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans. For a full overview, visit . About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at Read our CEO Statement Job Application Disclosure: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Company Description Penguin Random House is the leading adult and children's publishing house in North America, the United Kingdom and many other regions around the world. In publishing the best books in every genre and subject for all ages, we are committed to quality, excellence in execution, and innovation throughout the entire publishing process: editorial, design, marketing, publicity, sales, production, and distribution. Our vibrant and diverse international community of nearly 300 publishing brands and imprints include Ballantine Bantam Dell, Berkley, Clarkson Potter, Crown, DK, Doubleday, Dutton, Grosset & Dunlap, Little Golden Books, Knopf, Modern Library, Pantheon, Penguin Books, Penguin Press, Penguin Random House Audio, Penguin Young Readers, Portfolio, Puffin, Putnam, Random House, Random House Children's Books, Riverhead, Ten Speed Press, Viking, and Vintage, among others. More information can be found at Job Description Are you a passionate SAP BTP Developer looking to make a significant impact in the publishing industry? Join Penguin Random House as an SAP BTP Senior Developer and be part of a team that is shaping the future of reading. As a key member of our technology organization, you will play a vital role in designing, developing, and maintaining high-quality SAP BTP solutions across application development, automation, and integrations. We are seeking candidates with strong hands-onSAP BTP development experience, including UI5, Fiori, and Automation (SAP Build). We are specifically looking for candidates who must-have: Minimum 5+ years of recent and relevant experience in SAP BTP development. Strong understanding of BTP services relevant to application development and automation. Proven experience as a software engineer with a strong focus on coding and technical implementation. Hands-on expertise in SAP UI5, Fiori, Workflows, and SAP Build (Process Automation, Build Apps, Work Zone). Proficiency in cloud development languages such as JavaScript, Node.js, TypeScript, and Python. Experience in developing and customizing Fiori apps using Fiori Elements, Smart Controls, and annotations (local and backend). Development experience in SAP Build projects involving Business Processes, Automation, Decision, and Process Visibility. Application integration experience with REST/OData APIs, SAP ECC, and SAP S/4HANA. Strong experience in configuring SAP Business Technology Platform and BTP services, with clear understanding of different runtimes (Cloud Foundry is a must). Proficient with tools such as SAP Business Application Studio, Visual Studio Code, and SAP BTP Cockpit. Knowledge and hands-on experience in security using XSUAA, Connectivity, and Destination services. Ensure code quality, version control, and CI/CD pipelines using GitHub or GitLab, following DevOps best practices. Good understanding of SAP Cloud Connector. Problem-solving and team-oriented mindset with the ability to design, develop, and maintain high-quality technology solutions in collaboration with cross-functional teams. Qualifications Experience in building applications using SAP Cloud Application Programming Model (CAP) with Node.js, strong JavaScript/Node.js expertise, and Core Data Services (CDS). Experience in configuring SAP IAS/IPS with corporate identity providers (e.g., Okta). Ability to design and implement integrations between SAP and non-SAP systems using BTP Integration Suite, API Management, and Events. Exposure to diverse business scenarios (A2A and B2B) with hands-on experience in working with major adapters such as SFTP, SOAP, REST, IDoc, OData, JDBC, and SuccessFactors. We are not seeking candidates who: Are primarily SAP BTP Developer or analysts without a strong focus on hands-on software development. Have limited or no recent experience in SAP BTP development. Possess experience limited to SAP BTP administration activities only. Are seeking a primarily consulting or advisory role rather than a development-focused role. Additional Information If you are ready to take your career to the next level and contribute to a dynamic and innovative company, we encourage you to apply to this US-based remote opportunity. Please note, that while this role is remote-eligible, it will require operating on Eastern Timezone. The salary range for this position is $125,000 - $140,000. All positions are currently eligible for annual profit award or bonus, subject to Company results. To be considered, please submit your resume and salary requirements by October 28,2026. Penguin Random House job postings include a good faith compensation range for each open position. The salary range listed is specific to each particular open position and takes into account various factors including the specifics of the individual role, and candidate's relevant experience and qualifications. Full-time employees are eligible for our comprehensive benefits program. Our range of benefits include, but are not limited to, Medical/Prescription drug insurance, Dental, Vision, Health Care/Dependent Care Flexible Spending Account, Health Savings Account, Pre-Tax and Roth 401(k), Short and Long-Term Disability Insurance, Life/AD&D Insurance, Commuter Benefits, Student Loan Repayment Program, Educational Assistance & generous paid time off. Penguin Random House values the array of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status. All your information will be kept confidential according to EEO guidelines. Disclosure requirements pertaining to the collection of your personal data: Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG. The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here. You can contact the company's Data Protection Officer at the above-mentioned postal address. Further information on data protection and your rights can be found here. We value the array of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy. All your information will be kept confidential according to EEO guidelines. Disclosure requirements pertaining to the collection of your personal data: Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG. The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here. You can contact the company's Data Protection Officer at the above-mentioned postal address. Further information on data protection and your rights can be found here. We value the array of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy. All your information will be kept confidential according to EEO guidelines. Recruiting-Platform powered by SmartRecruiters .

About the Role Together AI is building the Inference Platform that brings the most advanced generative AI models to the world. Our platform powers multi-tenant serverless workloads and dedicated endpoints, enabling developers, enterprises, and researchers to harness the latest LLMs, multimodal models, image, audio, video, and speech models at scale. If you get a thrill from optimizing latency down to the last millisecond, this is your playground. You'll work hands-on with tens of thousands of GPUs (H100s, H200s, GB200s, and beyond), figuring out how to fully utilize every FLOP and every gigabyte of memory. You'll collaborate directly with research teams to bring frontier models into production, making breakthroughs usable in the real world. Our team also works closely with the open source community, contributing to and leveraging projects like SGLang, vLLM, and NVIDIA Dynamo to push the boundaries of inference performance and efficiency. Shape the core inference backbone that powers Together AI's frontier models. Solve performance-critical challenges in global request routing, load balancing, and large-scale resource allocation. Work with state-of-the-art accelerators (H100s, H200s, GB200s) at global scale. Partner with world-class researchers to bring new model architectures into production. Collaborate with and contribute to the open source community, shaping the tools that advance the industry. A culture of deep technical ownership and high impact - where your work makes models faster, cheaper, and more accessible. Competitive compensation, equity, and benefits. Responsibilities Build and optimize global and local request routing, ensuring low-latency load balancing across data centers and model engine pods. Develop auto-scaling systems to dynamically allocate resources and meet strict SLOs across dozens of data centers. Design systems for multi-tenant traffic shaping, tuning both resource allocation and request handling - including smart rate limiting and regulation - to ensure fairness and consistent experience across all users. Engineer trade-offs between latency and throughput to serve diverse workloads efficiently. Optimize prefix caching to reduce model compute and speed up responses. Collaborate with ML researchers to bring new model architectures into production at scale. Continuously profile and analyze system-level performance to identify bottlenecks and implement optimizations. Requirements 5+ years of demonstrated experience building large-scale, fault-tolerant, distributed systems and API microservices. Strong background in designing, analyzing, and improving efficiency, scalability, and stability of complex systems. Excellent understanding of low-level OS concepts: multi-threading, memory management, networking, and storage performance. Expert-level programming in one or more of: Rust, Go, Python, or TypeScript. Knowledge of modern LLMs and generative models and how they are served in production is a plus. Experience working with the open source ecosystem around inference is highly valuable; familiarity with SGLang, vLLM, or NVIDIA Dynamo will be especially handy. Experience with Kubernetes or container orchestration is a strong plus. Familiarity with GPU software stacks (CUDA, Triton, NCCL) and HPC technologies (InfiniBand, NVLink, MPI) is a plus. Bachelor's or Master's degree in Computer Science, Computer Engineering, or related field, or equivalent practical experience. About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $200,000 - $290,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Configurations team is dedicated to ensuring Waymo's cars drive with the desired features based on the car's current state (location, driving mode etc). We are also responsible for managing release deployments to our fleet of cars. The team works with different parts of the company to achieve its mission - other engineering teams to validate and roll out new features, release organization for managing qualifications and deployments, operations for ensuring stability of configurations and validating so that we don't mistakenly drive with incorrect configurations and so on. You will: Design, implement, and maintain the large-scale backend services that deliver configurations and features to a large, real-world fleet of autonomous vehicles. Help build and evolve one or more mission-critical commercialization tools and systems as we scale and serve new markets. Collaborate with Product, Ops, Data Science, and other teams to develop systems as our needs grow and evolve Implement robust configuration rollout processes to manage the complexity of updating the fleet of Waymo vehicles as we scale up and deploy in new markets. Enable launching new features in a safe way - evaluation, A/B testing, gradual rollouts. You have: 5+ years of professional software engineering experience. 3+ years of experience working on large-scale distributed systems. Proven track record of driving collaboration effectively across organizational boundaries and the ability to partner across organizational boundaries to optimize workflows and drive strategic alignment. Strong ability to document technical designs, processes, and communicate clearly with cross-functional teams. A commitment to system safety and reliability, with experience in developing mechanisms to detect and prevent the impact of configuration or software failures in a high-stakes environment. We prefer: Interested in interacting with other teams to understand their needs and propose infrastructure solutions. Experience with C++. Track record of successfully executing forward looking ambitious bets. Familiarity with Google infrastructure (e.g. Borg, Protocol Buffers, Spanner). The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $175,000-$215,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Configurations team is dedicated to ensuring Waymo's cars drive with the desired features based on the car's current state (location, driving mode etc). We are also responsible for managing release deployments to our fleet of cars. The team works with different parts of the company to achieve its mission - other engineering teams to validate and roll out new features, release organization for managing qualifications and deployments, operations for ensuring stability of configurations and validating so that we don't mistakenly drive with incorrect configurations and so on. You will: Design, implement, and maintain the large-scale backend services that deliver configurations and features to a large, real-world fleet of autonomous vehicles. Help build and evolve one or more mission-critical commercialization tools and systems as we scale and serve new markets. Collaborate with Product, Ops, Data Science, and other teams to develop systems as our needs grow and evolve Implement robust configuration rollout processes to manage the complexity of updating the fleet of Waymo vehicles as we scale up and deploy in new markets. Enable launching new features in a safe way - evaluation, A/B testing, gradual rollouts. You have: 5+ years of professional software engineering experience. 3+ years of experience working on large-scale distributed systems. Proven track record of driving collaboration effectively across organizational boundaries and the ability to partner across organizational boundaries to optimize workflows and drive strategic alignment. Strong ability to document technical designs, processes, and communicate clearly with cross-functional teams. A commitment to system safety and reliability, with experience in developing mechanisms to detect and prevent the impact of configuration or software failures in a high-stakes environment. We prefer: Interested in interacting with other teams to understand their needs and propose infrastructure solutions. Experience with C++. Track record of successfully executing forward looking ambitious bets. Familiarity with Google infrastructure (e.g. Borg, Protocol Buffers, Spanner). The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $175,000-$215,000 USD

Job DescriptionJob DescriptionJob Title: Artificial Intelligence Senior Associate Location: Dearborn, MI (local preferred) Duration: 12 Months (with potential for extension) Interview: Interview onsite in South Lyon/Novi, MI Candidate must be USC or GC. Do not apply for C2C. It will be a hybrid position. REVIEW JD MAKE SURE REQUIRED SKILLS (highlighted red) ARE ON THE RESUME. Will be onsite 4 days a week. Position Description: Employees in this job function are responsible for developing intelligent programs, cognitive applications and algorithms for data analysis and automation, leveraging various AI techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming Key Responsibilities: Understand business requirements and develop AI algorithms, models and programs to solve complex problems, generate recommendations, extract patterns, make predictions, interpret sensor data (images, sound), orchestrate automation and enable self-service capabilities Perform large-scale experimentation and develop data driven applications that translate data into actionable intelligence Drive innovative applications of Artificial Intelligence tools and techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming Research and optimize AI technologies to enhance efficiency and accuracy of data analysis and create more efficient automation Skills Required: Google Cloud Platform Experience Required: Bachelor's or Master's degree in Computer Science, Software Engineering, or related field (or equivalent practical experience). 3+ years building production software systems, including 1-2+ years on ML/AI or LLM-based applications. Proven experience designing and deploying multi-agent or multi-service architectures in production - not just notebooks or demos. As one 2026 hiring analysis puts it, the job is closer to distributed systems engineering with a probabilistic component than it is to ML research or prompt tweaking . Strong Python proficiency, including async/concurrent programming, and experience with backend frameworks (FastAPI, Flask). Hands-on experience with agent orchestration frameworks - LangGraph, CrewAI, LlamaIndex, or equivalent - for building stateful, multi-step, tool-using agent workflows. Practical experience building RAG pipelines: vector databases (pgvector, Pinecone, Weaviate, or Qdrant), embeddings, chunking strategies, and retrieval evaluation. Cloud deployment experience, ideally Google Cloud Platform (BigQuery, Cloud Run/GKE, Vertex AI, Pub/Sub) or equivalent AWS/Azure services. Strong SQL skills and experience with cloud data warehouses. Containerization and CI/CD experience (Docker, Kubernetes, GitHub Actions/Cloud Build). Experience building evaluation and observability pipelines for LLM/agent systems - offline eval sets, LLM-as-judge scoring, and tracing tools (LangSmith, Langfuse, OpenTelemetry, or equivalent) to track task success, latency, and cost. Understanding of LLM safety practices: guardrails, output validation, prompt-injection defense, and safe execution of AI-generated code/SQL (sandboxing, least privilege). Solid software engineering fundamentals: API design, testing, version control, security best practices. Experience Preferred: Experience with cost optimization and model routing - designing tiered pipelines that route between low-cost and high-capability models based on task complexity, and modeling per-conversation or per-task cost at scale. Experience deploying agentic systems with human-in-the-loop or multi-checkpoint validation workflows for high-reliability/high-stakes use cases. Experience with automotive, EV charging, IoT, or connected-vehicle telemetry data. Familiarity with Model Context Protocol (MCP) or similar standards for tool/data integration across agents. Prior experience in a startup or 0-to-1 product environment, comfortable with ambiguity and fast-evolving requirements. Education Required: Bachelor's Degree Education Preferred: Master's Degree Additional Information: Architect and deploy the production multi-agent orchestration layer (interpreter/orchestrator, NL-to-SQL agent, visualization agent, RCA/RAG agent, report composition agent, notification agent), using modern agent frameworks with state management and checkpointing rather than ad-hoc loops. Design and productionize RAG pipelines (chunking, embeddings, hybrid retrieval, reranking) grounded in approved schemas, engineering documentation, and historical issue records. Own BigQuery integration and enforce safe, least-privilege, validated execution of LLM-generated SQL. Build CI/CD, containerization, and infrastructure-as-code for deploying agent services on GCP (Cloud Run/GKE, Vertex AI). Implement evaluation pipelines and observability/tracing for every agent (golden datasets, LLM-as-judge scoring, regression alerts) so quality is measurable, not assumed. Implement guardrails, prompt-injection defenses, and human-in-the-loop approval checkpoints to ensure correctness and safety before any output triggers downstream action. Design cost/latency optimization strategies, including tiered model routing (cheap filter models vs. high-capability deep-dive models) and caching. Integrate validated outputs with operational systems (Salesforce ticketing, driver/site-manager notifications) and report export pipelines (PDF/HTML/spreadsheet). Collaborate with data scientists to productionize prototypes (anomaly detection, diagnostic agents) into scalable, monitored services. Establish versioning, testing, and safe rollout practices (canary/shadow deployments) for evolving agent logic.

Job DescriptionJob DescriptionJob Title: Artificial Intelligence Senior Associate Location: Dearborn, MI (local preferred) Duration: 12 Months (with potential for extension) Interview: Interview onsite in South Lyon/Novi, MI Candidate must be USC or GC. Do not apply for C2C. It will be a hybrid position. REVIEW JD MAKE SURE REQUIRED SKILLS (highlighted red) ARE ON THE RESUME. Will be onsite 4 days a week. Position Description: Employees in this job function are responsible for developing intelligent programs, cognitive applications and algorithms for data analysis and automation, leveraging various AI techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming Key Responsibilities: Understand business requirements and develop AI algorithms, models and programs to solve complex problems, generate recommendations, extract patterns, make predictions, interpret sensor data (images, sound), orchestrate automation and enable self-service capabilities Perform large-scale experimentation and develop data driven applications that translate data into actionable intelligence Drive innovative applications of Artificial Intelligence tools and techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming Research and optimize AI technologies to enhance efficiency and accuracy of data analysis and create more efficient automation Skills Required: Google Cloud Platform Experience Required: Bachelor's or Master's degree in Computer Science, Software Engineering, or related field (or equivalent practical experience). 3+ years building production software systems, including 1-2+ years on ML/AI or LLM-based applications. Proven experience designing and deploying multi-agent or multi-service architectures in production - not just notebooks or demos. As one 2026 hiring analysis puts it, the job is closer to distributed systems engineering with a probabilistic component than it is to ML research or prompt tweaking . Strong Python proficiency, including async/concurrent programming, and experience with backend frameworks (FastAPI, Flask). Hands-on experience with agent orchestration frameworks - LangGraph, CrewAI, LlamaIndex, or equivalent - for building stateful, multi-step, tool-using agent workflows. Practical experience building RAG pipelines: vector databases (pgvector, Pinecone, Weaviate, or Qdrant), embeddings, chunking strategies, and retrieval evaluation. Cloud deployment experience, ideally Google Cloud Platform (BigQuery, Cloud Run/GKE, Vertex AI, Pub/Sub) or equivalent AWS/Azure services. Strong SQL skills and experience with cloud data warehouses. Containerization and CI/CD experience (Docker, Kubernetes, GitHub Actions/Cloud Build). Experience building evaluation and observability pipelines for LLM/agent systems - offline eval sets, LLM-as-judge scoring, and tracing tools (LangSmith, Langfuse, OpenTelemetry, or equivalent) to track task success, latency, and cost. Understanding of LLM safety practices: guardrails, output validation, prompt-injection defense, and safe execution of AI-generated code/SQL (sandboxing, least privilege). Solid software engineering fundamentals: API design, testing, version control, security best practices. Experience Preferred: Experience with cost optimization and model routing - designing tiered pipelines that route between low-cost and high-capability models based on task complexity, and modeling per-conversation or per-task cost at scale. Experience deploying agentic systems with human-in-the-loop or multi-checkpoint validation workflows for high-reliability/high-stakes use cases. Experience with automotive, EV charging, IoT, or connected-vehicle telemetry data. Familiarity with Model Context Protocol (MCP) or similar standards for tool/data integration across agents. Prior experience in a startup or 0-to-1 product environment, comfortable with ambiguity and fast-evolving requirements. Education Required: Bachelor's Degree Education Preferred: Master's Degree Additional Information: Architect and deploy the production multi-agent orchestration layer (interpreter/orchestrator, NL-to-SQL agent, visualization agent, RCA/RAG agent, report composition agent, notification agent), using modern agent frameworks with state management and checkpointing rather than ad-hoc loops. Design and productionize RAG pipelines (chunking, embeddings, hybrid retrieval, reranking) grounded in approved schemas, engineering documentation, and historical issue records. Own BigQuery integration and enforce safe, least-privilege, validated execution of LLM-generated SQL. Build CI/CD, containerization, and infrastructure-as-code for deploying agent services on GCP (Cloud Run/GKE, Vertex AI). Implement evaluation pipelines and observability/tracing for every agent (golden datasets, LLM-as-judge scoring, regression alerts) so quality is measurable, not assumed. Implement guardrails, prompt-injection defenses, and human-in-the-loop approval checkpoints to ensure correctness and safety before any output triggers downstream action. Design cost/latency optimization strategies, including tiered model routing (cheap filter models vs. high-capability deep-dive models) and caching. Integrate validated outputs with operational systems (Salesforce ticketing, driver/site-manager notifications) and report export pipelines (PDF/HTML/spreadsheet). Collaborate with data scientists to productionize prototypes (anomaly detection, diagnostic agents) into scalable, monitored services. Establish versioning, testing, and safe rollout practices (canary/shadow deployments) for evolving agent logic.

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's commercial service is up and running in multiple cities, with ambitious plans to expand dramatically in the coming years; the associated infrastructure is in an early stage and requires significant investment for Waymo to grow into a high scale, world-class service. Increasing demand for Waymo's ride-hailing service will drive evolution of our systems, providing an opportunity-rich environment to solve hard, ambiguous, high-impact, cross-functional problems. Team: Fleet Management Project: Workshop management; focused on planning and executing vehicle maintenance and uptime software. In this hybrid role, you will report to an Engineering Manager. You will: Design, develop, test, and optimize Angular applications using Typescript and modern development techniques. Build and evolve mission-critical tools and systems that allow Waymo to scale and serve new markets. Collaborate with Product, UX, and other engineers to design and develop internal user-facing products. Ship solutions to novel problems that arise in a fast-paced environment. collaborative - work across team boundaries cross-functional - work with PM, UX, legal, operations, or other non-engineering roles independence / leadership - take ownership and drive efforts to completion You have: Bachelor's degree in Computer Science or equivalent practical experience. 4+ years of experience in full-stack development. Strong understanding of web development fundamentals including HTML, CSS, and modern JavaScript/TypeScript. Knowledge of common frontend web development frameworks (e.g., Angular, React, Vue). Interest in backend development. Experience with 3rd party integrations and public APIs We prefer: Familiarity with Google infrastructure (e.g. Flume, Borg, Protocol Buffers, OnePlatform) or GCP equivalent Backend experience in Java, Python, Go, C++ or similar. Working knowledge of frontend frameworks (e.g. Angular, Dart) Scalability experience Experience in the automotive industry The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $170,000-$216,000 USD

Who We Are Cross River builds the infrastructure behind the world's most innovative financial products. Our technology and capital solutions power payments, cards, lending, and digital asset capabilities that move money safely, instantly, and inclusively - trusted by leading fintechs, enterprises, and disruptors across the globe. Our mission is simple: to build the financial infrastructure that expands access and opportunity for all. Guided by a culture of collaboration, curiosity, and purpose, Cross River has been named one of American Banker's Best Places to Work in Fintech year after year. Whether you're designing code, solving regulatory puzzles, or developing strategy, you'll join a team where innovation and integrity drive everything we do - and where your work helps shape the future of finance. About Our Team Cross River's AI Transformation team is a newly formed group of problem solvers passionate about bridging the gap between cutting-edge AI capabilities and real-world business needs. Based in-office at our Fort Lee, New Jersey headquarters, we work face-to-face with stakeholders across the organization to identify opportunities, adopt and adapt AI tools, and build sustainable solutions. Our mission is to bring AI-powered solutions to life, ensure they are maintainable, auditable, and resilient, and to continuously leverage advances in AI technologies for the benefit of the business. What We're Looking For We are looking for a Software Engineer II to focus on solutions for our AI Transformation team. You will work in-office at least four days per week at our Fort Lee, New Jersey headquarters. With guidance from your Engineering Manager and a Senior Software Engineer, you will collaborate closely with an AI strategy team and collaborate face-to-face with business stakeholders to deeply understand their problems, cut through surface-level descriptions to identify root challenges, and write the code that solves real problems. You will work closely with other software and QA engineers in and outside of your team. We are looking for someone who has worked within ambiguity, and seeks out and applies strong engineering disciplines to deliver sustainable, AI-centered or augmented outcomes. Responsibilities: Design, develop, and deliver scalable software modules and components Build backend systems using a mix of technologies. Languages may include C# (.NET 10), Python, and JavaScript/TypeScript. Databases may include PostgreSQL and SQL Server. Infrastructure includes AWS, Docker, and Kubernetes Implement, test, and iterate on software solutions that address both short-term and long-term considerations with a maintainable, sustainable mindset Qualifications: 4+ years of experience developing enterprise systems in modern, current object-oriented languages, with at least 2+ years of C# 2+ years of experience with SQL, preferably PostgreSQL or SQL Server Experience working with AI assistive and agentic code generation (e.g. Copilot, Claude Code, Cursor) Database persistence frameworks (e.g. nHibernate, Entity Framework) Strong communication skills Experience or understanding of Domain Driven Design Cloud Architecture - preferably AWS Docker / Containers Financial industry / accounting experience or understanding is helpful, but not required Experience designing and developing distributed systems and event driven architecture is preferred. Ideally with understanding or exposure to: MassTransit or NServiceBus RabbitMQ Idempotency Salary Range: $130,000.00 - $170,000.00 Cross River is an Equal Opportunity Employer. Cross River does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. By submitting your application, you give Cross River permission to email, call, or text you using the contact details provided. We will only contact you with job related information.

Company Overview ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly login across websites without having to create a new login and verify their identity again. Over 152 million users experience streamlined login and identity verification with ID.me at 20 federal agencies, 45 state government agencies, and 70+ healthcare organizations. More than 600+ consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.me's technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me is committed to "No Identity Left Behind" to enable all people to have a secure digital identity. To learn more, visit ID.me is a full-time, in-office culture. Unless a specific job description explicitly states otherwise, all roles are on-site five days per week at one of our offices in McLean, VA; Mountain View, CA; New York City, NY; or Tampa, FL. Certain roles - such as field-based sales or other remote-by-design positions - may have different work arrangements as noted in their individual postings. At ID.me, we embrace the thoughtful use of AI tools in our daily work and there are even occasions where we leverage AI in our hiring process. However, during the interview process, we want to understand your individual skills and experiences. Therefore, we have guidelines on how AI can be appropriately used during your application and interviews which can be found here. About the Role This Staff Engineer role sits at the intersection of engineering, applied AI, testing and developer experience. You will define and lead the discipline of testing AI agents, evaluating LLM behavior, and ensuring the reliability of agentic systems operating in production. It requires deep engineering rigor, original thinking about what "correctness" means for non-deterministic systems, and the ability to build eval infrastructure and developer tooling that the entire engineering org depends on. Expert in building and maintaining Retrieval-Augmented Generation (RAG) pipelines, with a deep focus on strategic data chunking and data quality enforcement. Experience in establishing pre-retrieval data quality gates to optimize vector search accuracy, minimize retrieval-induced noise, and significantly reduce LLM hallucination rates in production-deployed agent systems. You will establish quality standards for how ID.me ships AI-powered features safely, mentor engineers across teams on AI testing best practices, and partner directly with product and platform teams to embed quality into every stage of agent development. What You'll Do Define AI Quality Standards: Own the framework for how ID.me evaluates, validates, and monitors AI agents - from prompt-based features to fully autonomous multi-step workflows. Build Eval Infrastructure: Design and maintain evaluation pipelines for LLM outputs, agent behavior, tool use, and multi-turn interactions across development, staging, and production environments. Production Observability for Agents: Instrument agentic systems for behavioral drift, regression, and failure modes that traditional metrics miss - latency, correctness, hallucination rate, tool misuse, and policy adherence. Agentic Test Strategy: Lead the design of test suites that handle non-determinism - red-teaming agents, golden dataset construction, LLM-as-judge pipelines, and property-based testing for AI outputs. Champion Developer Experience: Build the internal tooling, feedback loops, and testing workflows that make it fast and safe for engineers to develop and ship AI features with confidence. Reduce friction in the agent development inner loop - local testing, fast eval runs, and clear signal on regressions. Drive AI-First Engineering Culture: Raise the quality bar across the engineering org by establishing patterns, tooling, and education for how teams write, test, and deploy AI features responsibly. Cross-Team Collaboration: Partner with Security, Platform, Product, and AI/ML teams to embed quality gates into agent development workflows. Mentorship: Guide senior and mid-level engineers through evaluation design, observability strategy, and testing approaches specific to AI systems. Basic Qualifications Bachelor's degree in Computer Science, Engineering, or equivalent experience 8+ years building and operating production software systems Demonstrated experience evaluating or testing LLM-powered features or autonomous agents in production Proficiency with AI-assisted development tools (Claude Code, Cursor, or equivalent) - you build with AI every day Strong backend engineering fundamentals in Python, Java, Go, or equivalent Experience designing test infrastructure, CI/CD quality gates, or evaluation pipelines at scale Experience improving developer experience - building internal tooling, reducing toil, or accelerating engineering workflows Proven ability to lead cross-team technical initiatives and influence engineering standards Strong written and verbal communication across engineering, product, and leadership Experience building eval frameworks for LLM agents (e.g., correctness graders, LLM-as-judge, human-in-the-loop evals, benchmark dataset curation) Familiarity with agentic frameworks (Claude API / Anthropic SDK, BrainTrust, LangChain, LangGraph, CrewAI, or similar) Production monitoring experience for AI systems: behavioral drift detection, output sampling, shadow scoring Red-teaming or adversarial testing experience for AI models or agents Preferred Qualifications Background in identity verification, fraud detection, or regulated industries Familiarity with Anthropic's model evaluation methodology or similar published eval research Experience with observability tooling (Datadog, OpenTelemetry) applied to AI workloads Track record of building developer tooling or platforms that other teams adopt widely The annual base salary listed does not include a company bonus, incentive for sales roles, equity and benefits which will be determined based on experience, skills, education, relevant training, geographic location and role. ID.me offers comprehensive medical, dental, vision, health savings account, flexible spending accounts (medical, limited purpose, dependent care, commuter benefit accounts), basic and voluntary life and AD&D insurance, 401(k) with company match, parental leave, ability to participate in unlimited paid time off subject to the terms and conditions of the PTO policy, including 8 company wide holidays, short and long-term disability insurance, accident and critical illness insurance, referral bonus policy, employee assistance program, pet insurance, travel assistant program, wellbeing and childcare discounts, benefit advocates, and a learning and development benefit. Final offers may vary from the amount listed based on qualifications, professional experiences, skills, education, relevant training, geographic location, and other job related factors. Mountain View, CA Pay Range $194,000-$253,000 USD ID.me maintains a work environment free from discrimination, where employees are treated with dignity and respect. All ID.me employees share in the responsibility for fulfilling our commitment to equal employment opportunity. ID.me does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. ID.me adheres to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, ID.me's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request we will provide you with more information about such accommodations. Please review our Privacy Policy, including our CCPA policy, at id.me/privacy. If you provide ID.me with any personally identifiable information you confirm that you have read and agree to be bound by the terms and conditions set out in our Privacy Policy. ID.me participates in E-Verify.

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Providing world-class customer service for our community of guests and hosts is a critical mission at Airbnb. The Ambassador Routing & Channels (ARC) team sits within Airbnb Community Support and is responsible for powering intelligent, differentiated service experiences, ensuring every support request, across any channel, is addressed by the right expert at the right time. Our work directly drives faster resolutions, higher quality interactions, and exceptional customer satisfaction at scale. The Difference You Will Make: As a Senior Backend Engineer on the ARC team, you will contribute meaningfully across our core routing and differentiated service programs: Contribute to and lead engineering delivery on programs that enable intelligent agent matching, personalized support experiences for high-value customers, and next-generation routing and communication channel capabilities. Own and evolve core routing infrastructure, including decision engines, workflow orchestration, and routing rule management. Ensuring high availability, correctness, and scalability across millions of daily support interactions. Help drive consolidation of fragmented routing logic spread across multiple platforms and channels into a centralized, auditable, and maintainable system. Collaborate cross-functionally with Product, Operations, Data Science, and partner engineering teams to align on priorities and deliver outcomes that improve the customer support experience. Contribute to technical quality through design reviews, code reviews, and pragmatic architectural decision-making. Support the team's technical growth by mentoring junior engineers and contributing to a culture of continuous improvement and engineering excellence. A Typical Day: Collaborate cross-functionally with product, design, engineering, and data science teams to develop backend systems and enhance AI prompt effectiveness for routing and differentiated service experiences. Lead and contribute across the full development lifecycle: technical design, implementation, testing, experimentation, and production deployment. Contribute to a culture of engineering excellence by role modeling best practices in design, code quality, and cross-functional collaboration. Participate in on-call rotations, incident response, and post-mortems to ensure the reliability of routing infrastructure serving millions of Airbnb guests and hosts. Engage in sprint planning, backlog grooming, and design doc sharing sessions to keep ARC's delivery on track. Optimize system availability, performance, and scalability while pushing enhancements for improved efficiency across AI-driven routing workflows. Collaborate with cross-regional engineering partners to align on shared routing capabilities and drive consistency across global support operations. Your Expertise: 6+ years of software development experience in service-oriented architectures and backend development. Expertise in workflow optimization and backend systems, with a focus on scalable and flexible architecture. Experience designing and iterating on prompt engineering to fine-tune AI capabilities for AI/LLM-driven scenarios. Familiarity with RAG patterns, memory routing, and agent planning. Proficiency in crafting backend systems focusing on technical quality, efficiency, and resilience. Excellent collaboration and communication skills to work effectively across teams and domains. Passion for agile development, system optimization, and team productivity enhancements. Bachelor's and/or Master's/Ph.D. degree, preferably in Computer Science, or equivalent practical experience. Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list . If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: . Please include your full name, the role you're applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Pay Range $196,000-$227,000 USD Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role. A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb's hiring process: our open roles are posted on Airbnb's Career's Page at and our recruiters correspond only email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing. We'll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.

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

Job Description Job Description About Valitana Valitana is a rapid growing FinTech startup providing cutting-edge SaaS solutions for institutional investors. Founded in 2017, our platforms have advanced financial analysis, trade flow, and portfolio management tools. Valitana provides robust, intuitive solutions allowing our clients to make informed decisions by improving their operational workflows. With over 500+ active users, our institutional clients include CLO investors, CLO managers, hedge funds, asset managers, insurance companies, family offices, and broker dealers. Valitana was Ranked in the "Best CLO Analytics Service", "Best Secondary CLO Platform", and "Best CLO Portfolio Management Service" in the Creditflux CLO Census for 2023. Position Overview Valitana is seeking a Senior Full-Stack Technical Lead (backend-focused) to help accelerate technology and business growth within a FinTech, client-facing environment. This role is suited for a hands-on senior engineer and technical leader with strong system-design instincts for data-intensive applications, who thrives in a fast-paced, collaborative setting and takes ownership of delivering reliable, scalable, and secure software solutions. The ideal candidate combines deep hands-on technical expertise with the ability to lead, mentor, and influence other developers, while maintaining a strong product- and client-oriented mindset. This individual will play a key role in shaping both the platform and the people building it. Responsibilities Contribute to data-intensive, client-facing FinTech applications with a focus on scalability, performance, security, and correctness. Own feature areas, services, and components end-to-end-from design and implementation through production support-while guiding other engineers through delivery. Own technical design and delivery for a defined domain or service area. Ensure delivery meets functional and non-functional requirements. Lead technical execution for client-facing initiatives, partnering closely with product, business, and client stakeholders to translate requirements into robust, maintainable solutions. Provide technical leadership and day-to-day guidance to engineers, including reviewing work, mentoring team members, and helping raise the technical bar. Lead and manage a small team of engineers, supporting career growth and skill development. Act as primary technical escalation point for the domain and team. Operate with a high degree of autonomy within agreed architectural boundaries while helping set technical direction, priorities, and execution plans within the broader engineering organization. Uphold and reinforce coding standards, API design, architectural principles, and engineering best practices, contributing to their ongoing evolution. Proactively identify technical risks, design trade-offs, and delivery challenges, collaborating with peers and leadership to drive resolution. Foster a culture of quality and accountability through thoughtful code reviews, documentation, knowledge sharing, and cross-team collaboration. Qualifications 8+ years of experience as a Full-Stack or Back-End Developer within the FinTech or broader technology space. Experience leading multi-quarter technical initiatives. Ability to balance business delivery with long-term platform improvements. Experience leading, mentoring, or managing engineers, including providing technical guidance, conducting code reviews, supporting career development, and influencing technical direction. Strong proficiency in server-side programming languages and technologies - C#/.Net, ASP.Net Core, Entity Framework, SQL, Python is a plus. Experience with web frameworks and technologies - Angular, Javascript, Typescript. Strong understanding of agile development methodologies, with experience operating in fast-paced, iterative environments. Proven ability to operate as a self-starter and technical leader, balancing hands-on execution with strategic thinking and team collaboration. Experience designing, building, or supporting cloud-based architectures; familiarity with cloud-hosted systems (e.g., AWS, Azure, GCP) is highly desirable. Bachelor's degree in Computer Science, Engineering, or a related technical field. Preferred: Experience or familiarity with financial products, particularly structured products. Experience leading or managing a team of 5-10 engineers, with 1-2 years of direct management experience is a plus. What We Offer The base salary range for this role is $170,000 to $210,000. Valitana offers a competitive compensation package which includes base salary and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, healthcare with medical, dental, vision, telemedicine, and PTO. Employees in this role will work in the office Mondays through Wednesdays with the flexibility to work remotely Thursdays and Fridays. Assessment and Automated Screening Tools As part of this hiring process, you may be asked to complete a technical assessment administered through HackerRank, a third-party platform. By participating, advancing, or completing the assessment you are consenting to HackerRank possibly using automated features to evaluate or score the submitted work, and information about your submission is processed by that platform. Categories of data processed: The code or written work you submit, assessment scores, completion time, and, if enabled, session activity data. Source of that data is the information you provide directly by completing the assessment. How it is assessed: A Valitana employee reviews assessment results, and no hiring decision is made solely on the basis of an automated score. If you would like more information about how the assessment is evaluated contact Valitana Human Resources at . Equal Opportunity and Accommodation Valitana is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, pregnancy, veteran or military status, genetic information, or any other characteristic protected by federal or Connecticut law. If you need a reasonable accommodation to apply, interview, complete an assessment, or otherwise participate in this hiring process, contact the Human Resources team at . Requesting an accommodation will not affect how your application is considered. Powered by JazzHR UtEVAIiSzB