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Job DescriptionABOUT US At RADAR, we're transforming the way the world thinks about physical retail. RADAR has raised over $104M from top investors, retailers, and strategics and works with some of the world's retail brands including American Eagle and Gap. We're building the future of in-store experience where every product and every person can be precisely located in real time. Our platform combines RFID and AI to unlock hyper-accurate product visibility and automation at scale. From real-time inventory tracking to seamless checkout experiences, our technology empowers some of the world's largest retailers to streamline operations, reduce loss, and elevate both employee and customer experiences. We're a fast-growing, mission-driven startup where bold ideas, collaboration, and impact are at the core of everything we do. Join us as we reshape the physical world with digital precision, starting with retail and expanding far beyond! OUR VALUES Mission-Driven: We're transforming retail with cutting-edge technology and building something that truly matters. Collaborative Team: We thrive on curiosity, shared goals, and solving complex problems together. High Impact: You'll make meaningful contributions from day one and help shape the future of our product and company. Clear Communication: We value honesty, humility, and respectful dialogue—everyone's voice matters. Balanced Lives: We work hard, but not at the expense of well-being. We respect time, boundaries, and life outside of work. Diverse Perspectives: We believe better ideas come from diverse backgrounds, experiences, and viewpoints. Empathy-Driven Design: We build with deep respect for our end users, listening closely to their feedback and needs. ABOUT THE JOB We are seeking an experienced Test and Quality Engineering Lead to drive our quality culture and testing infrastructure across the organization. This is a high-impact individual contributor role focused on shaping how engineering teams think about quality, building scalable test infrastructure, and establishing practices that ensure reliability at massive scale. You'll work across a complex distributed system processing over 100 billion events per day spanning cloud, edge compute, and mobile devices. This is an engineering leadership position without management responsibilities. You'll influence through expertise, coaching, and technical excellence by helping teams across the organization build quality into their development processes rather than testing it afterward. Your success will be measured by the growth and maturity of quality practices across engineering teams, not by how much you personally test. Responsibilities: • Drive and shape a culture of quality and testing across engineering teams through coaching and technical leadership, • Design and build scalable test infrastructure for systems processing 100+ billion events per day, • Coach teams to design for testability and observability from the beginning, • Develop testing frameworks, tooling, and automated pipelines that engineers can easily adopt, • Participate in design reviews with focus on testability and observability, • Build comprehensive test reporting and analytics to provide visibility into quality metrics, • Define quality KPIs and metrics that drive meaningful improvements across the organizationABOUT YOURequired:, • You have 7+ years of experience in software engineering with significant focus on testing and quality, • You have proven experience building test infrastructure and frameworks for large-scale distributed systems, • You have a strong background in testing systems that process massive data volumes (billions+ of events), • You have demonstrated ability to influence engineering culture and drive organizational change without formal authority, • You have deep understanding of testing methodologies including unit, integration, end-to-end, performance, and chaos testing, • You have experience coaching and mentoring engineers on testing and quality practices, • You have strong understanding of software design principles and how they impact testability, • You have excellent communication skills with ability to advocate for quality at all levels of the organizationPreferred:, • You have experience with Java-based systems and testing frameworks (JUnit, Mockito), • You have hands-on experience with GCP services and architecture, • You have experience testing edge computing systems and mobile applications, • You are familiar with CI/CD tools (GitHub Actions or similar), • You have experience with performance testing tools and methodologies at scale, • You have background in chaos engineering and resilience testing, • You have experience with observability and monitoring tools (Prometheus, Grafana, New Relic, or similar), • You have strong understanding of dependency injection, mocking, and test isolation patterns, • You have experience in high-growth or scaling engineering organizationsWHAT YOU'LL DOIn your first 30 days, you will:, • Learn the company's mission, technology stack, and core values, • Complete onboarding and security compliance training, • Understand current testing practices, tools, and infrastructure across engineering teams, • Meet with engineering teams to learn about their quality challenges and pain points, • Audit existing test coverage, quality metrics, and testing infrastructure, • Assess current design patterns and their impact on testability and observability, • Identify quick wins where improved testing would have immediate impactIn your first 60 days, you will:, • Deliver initial improvements to test infrastructure or tooling that teams can immediately use, • Develop and propose comprehensive testing strategy aligned with organizational needs, • Begin coaching sessions with teams on testing best practices and design for testability, • Implement quality metrics and reporting dashboards for visibility, • Launch pilot initiatives with 1-2 teams to demonstrate new testing approaches, • Participate in design reviews with focus on testability and observabilityIn your first 90 days, you will:, • Demonstrate measurable improvements in quality metrics or testing maturity for pilot teams, • Present comprehensive roadmap for quality infrastructure and organizational capability building, • Establish testing standards and frameworks that teams begin adopting, • Own end-to-end delivery of at least one major test infrastructure improvement, • Show evidence that teams are changing how they think about and approach testing Research has shown that women & underrepresented minorities are more likely to read lists of requirements and consider themselves unqualified if they don't meet every single one. This list represents what we're ideally looking for, but everyone has unique strengths & weaknesses, and we hire for strength & potential, not lack of weakness. Use of artificial intelligence or a LLM such as ChatGPT during the interview process will be grounds for rejection of your application process.

Job DescriptionCompany Description 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 Visa’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world’s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you’ll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are seeking a Staff Software Engineer (Backend) to design, build, and operate scalable, high‑performance backend systems, including services enhanced with Generative AI and agent‑based capabilities. In this role, you will work closely with senior engineers, product partners, and platform teams to deliver reliable microservices that power business‑critical applications. This is a hands‑on senior individual contributor role. You will contribute to technical design, mentor engineers, perform code reviews, and help integrate AI‑powered features—such as LLM‑backed services, agent workflows, and context‑aware systems—into production environments. The ideal candidate combines deep Java backend expertise with practical experience applying modern AI tools and techniques to real‑world software development. The Skills You Bring: Key Responsibilities Backend Engineering & System Design • Design, develop, test, and document scalable backend services using Java, Spring Boot, Kafka, and MySQL., • Build and maintain microservice‑based, multi‑tier applications that meet performance, reliability, and security requirements., • Develop RESTful APIs and event‑driven services that integrate cleanly with downstream systems., • Apply engineering standards, processes, and best practices throughout the software development lifecycle (SDLC)., • Develop complex database queries and resolve defects in existing codebases., • Contribute to deployment procedures, environment configuration, and release readiness., • Apply context engineering techniques, including use of memory banks, conversation state, and external knowledge sources, to improve relevance and consistency of AI‑powered features., • Design and maintain prompt engineering strategies to ensure reliable, secure, and high‑quality LLM responses across backend services., • Implement and integrate Model Context Protocol (MCP) patterns to enable structured tool access, context sharing, and interoperability between AI agents and backend APIs., • Integrate AI agents into production applications, enabling task automation, decision support, or intelligent workflows within backend services., • Leverage AI‑assisted development tools (e.g., Claude, GitHub Copilot, or similar) in day‑to‑day coding activities to improve development velocity, code quality, and maintainability., • Design and support distributed, fault‑tolerant systems using event‑driven and asynchronous patterns., • Contribute to CI/CD pipelines and cloud‑native deployments using Docker, Kubernetes, and related tooling., • Support monitoring, logging, and alerting to ensure system health and operational excellence., • Perform thorough code and design reviews to maintain high engineering standards., • Mentor junior and mid‑level engineers through technical guidance and example., • Collaborate with cross‑functional partners to preserve business goals and technical requirements. Basic 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), • Master’s degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of directly related experience, or, • Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field and 8+ years of directly related experience, or, • 8+ years of equivalent professional experience., • 5+ years of experience with Core Java and RESTful web service development., • 3+ years of experience with Spring Framework / Spring Boot and build tools such as Maven., • Strong experience with event‑driven and reactive systems using Kafka., • Strong knowledge of Spring Data, JPA, JDBC, and relational database access., • Solid understanding of object‑oriented design, design patterns, concurrency, and multithreading., • Experience with CI/CD pipelines and cloud‑native deployments using Jenkins, Docker, and Kubernetes., • Familiarity with security scanning tools such as Checkmarx, Qualys, Aqua, and remediation best practices., • Strong SQL optimization skills; stored procedure experience is a plus., • Experience using ETL tools such as Clover DX for data import/export workflows., • Experience with vector databases (e.g., Pinecone, FAISS, Weaviate) and RAG implementations., • Exposure to Python‑based services (FastAPI, Flask) in AI‑enabled systems., • Experience with API automation frameworks (Rest Assured, TestNG, JUnit, Jasmine, Jest)., • Prior experience with AI/ML‑enabled systems in production environments., • Experience practicing test‑driven development (TDD)., • Experience integrating AI agents into backend services or products, beyond experimentation or prototypes., • Demonstrated professional use of AI coding assistants (e.g., Claude, GitHub Copilot)., • We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn’t work with payments technology or web applications before joining Visa. Additional Information 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 protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for this position is 131,600.00 to 210,300.00 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.

Job DescriptionAre you ready to revolutionize the advertising industry? At Cognitiv, we are not just another AdTech company—we are industry trailblazers redefining media buying with our Deep Learning Advertising Platform. Since 2015, we have harnessed the power of cutting-edge deep learning technology and data science to transform how brands connect with their customers. Our mission? To bring intelligence to advertising and deliver unparalleled precision, relevance, and impact at scale. With our innovative platform, advertisers enjoy unprecedented flexibility—whether it is activating Dynamic Deals through their preferred DSP, leveraging our managed service DSP, or utilizing our industry-first ContextGPT product. As a part of Cognitiv, you will be at the forefront of AI-driven advertising solutions, driving change and achieving remarkable growth in a rapidly evolving industry.Now, we're growing! The Role We are searching for one of the absolute best ML inference engineers in the industry—someone excited to architect and scale a cutting-edge inference system that becomes the backbone of Cognitiv's ML-driven products. In this role, you will define what inference means to Cognitiv and lead the cross-organizational effort to bring that vision to life. You'll build performance-critical systems powering real-time decision-making for some of the world's biggest brands, while helping shape the future of AI in AdTech. This role is foundational. It is high-impact. And it is a rare opportunity to build both the system and the team around one of the most strategic technical pillars in the company. What You'll Do • Build Production AdTech Systems: Design and implement reliable software and infrastructure that serves large-scale machine learning models in real-world production environments., • Optimize for Performance at Scale: Improve throughput and latency using a mix of industry-standard frameworks and custom-built solutions tailored to Cognitiv's workloads., • Set the Vision & Influence Execution: Define the technical direction for inference initiatives, articulate a clear vision, and influence teams across the organization to align and execute against it., • Bridge Research to Production: Identify long-term risks and emerging technical breakthroughs, partnering closely with Research, Product, and Engineering to translate ML capabilities into business impact., • Grow the Technical Community: Mentor engineers through code reviews, design reviews, and pair programming while elevating technical collaboration across the organization., • Languages: C++17+, C#, Java, • Cloud: AWS, GCP, or Azure, • Infrastructure: Terraform, Ansible, containers, • ML: PyTorch ecosystem & model serving, • Optimization: parallelism, quantization, tiling, • Strong C++ Systems Engineer: 5+ years building performance-critical software in C++17 or later, with a focus on reliability, efficiency, and production quality., • Infrastructure-Minded Builder: Comfortable working with infrastructure-as-code (Terraform, Ansible, etc.) and thinking beyond code into deployment, reproducibility, and operational scalability., • End-to-End Owner: You naturally take services from planning and design through implementation, delegation, testing, release, and ongoing operation — and feel accountable for outcomes, not just code., • Familiar with PyTorch or equivalent ML framework, • Experience with deep learning optimization (parallelism, quantization, tiling, etc.), • Experience with GPU/hardware acceleration (NVIDIA TensorRT, etc.), • Experience with ML Ops technologies (model lifecycle management, ML integrated platforms, model observability, automation, etc.), • Familiar with containerization (Docker, Kubernetes, etc.), • Experience with advanced ML architectures (two-tower models, teacher-student learning, etc.), • Experience with Rust, • Medical, dental & vision coverage (some plans 100% employer-paid), • 12 weeks paid parental leave + 4 weeks WFH, • Unlimited PTO + Work-From-Anywhere August, • Career development with clear advancement paths, • Equity for all employees, • Hybrid work model & daily team lunch, • Health & wellness stipend + cell phone reimbursement, • 401(k) with employer match, • Parking (CA & WA offices) & pre-tax commuter benefits, • Employee Assistance Program, • Comprehensive onboarding (Cognitiv University), • …and more!What You'll Find at Cognitiv, • Festiv – We make work fun with cross-team games, events, and creative team bonding., • Responsiv – You'll be close to clients and leadership, influencing real outcomes., • Inclusiv – Diversity and individuality are celebrated across all levels., • Inventiv – We reward curiosity and embrace bold ideas., • Transformativ – We support your growth with training, mentorship, and flexibility., • Collaborativ – We operate across coasts, connected by purpose and teamwork.Cognitiv is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive workplace for all.

Dev Lead / Application Development Manager (Java / Golang / Serverless).

Excellent knowledge of Java Full Stack with Angular, Spring Boot, CI/CD, PCF/TAS. Superior background in object-oriented development in Java Profound understanding of backend development & database - Mark logic and MySQL DB Responsible for Design, programming, debugging of the features received as r

JavaScript frameworks (JavaScript, AJAX, AngularJS, jQuery, React). J2EE Technologies: Servlets, JSP, JSTL, JSON, JDBC, Java Beans, Collections, Exception Handling, Multi-Threading, I/O.

Backend Java Developer or similar role.

Our client is seeking a Sr Level Java engineer for engineering and delivery microservices and API's to support Customer Data. The team supports various mid-layer services across the organization and to external partners and is seeking a strong Java Engineer with Azure cloud experience. Best qualifie

Required skills: Java, SQL, Nosql, Spring, AWS or any cloud.

Role : Java Full Stack Developer - Mark Logic. Excellent knowledge of Java Full Stack with Angular, Spring Boot, CI/CD, PCF/TAS. Superior background in object-oriented development in Java.

Take your Java career to new heights! Our client is seeking a top-tier Senior/Lead Level Java engineer for engineering and delivery of cutting-edge microservices and APIs to support Customer Data. Experience of using IDE for java like eclipse, intellij etc. Job Title: Senior/Lead Java Engineer.

Our client is seeking a Lead Java Engineer for engineering and delivery of microservices and API's to support Store Data Hub. The team supports various mid-layer services across the organization and to external partners and is seeking an experienced Lead Java Engineer with cloud experience. Best qua

Location: Seattle, WA (Remote).Uses algorithms, data structures, programming languages, programming paradigms to create, test and operate sustainable client-side or server-side software applications and services.Works collaboratively with architect, systems analysts, and other application engineers

Knowledge of Core Java, Javascript, C++, or software programming. Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.

About the job Fullstack React/Java Developer. Java, Kafka, and NoSQL databases. Develop and maintain robust back-end systems using Java.

Backend dev ,experience with Java (Java 18/21 experience is a plus), experience with Python, familiarity/experience with Behavior Driven Development and Contract Driven Devleopment.

Event videos (OCW, JavaOne, Gartner):.

JBoss Fuse, Apache Camel, Core Java, Spring, and messaging platforms. JBoss Fuse, Apache Camel, Core Java, and Spring. Microservices and Java Spring Boot.

Experience or knowledge in Core Java, JavaScript, C++. Python/Java Software Programmers. For Java/Full Stack/DevOps Roles:.

Required Skills : Embedded,Java. RESTful APIs using Java 8 and above,.

From Another Industry to Tech: Convert Your Experience Into a Tech Offer.Breaking into tech from another industry can feel intimidatinguntil you realize you already have advantages many entry-level candidates don't.If you're coming from business operations, finance, healthcare, education, QA, custom

Lead/ Architect Java Developer. Develop and design scalable applications on Java Spring Boot and related technologies, learning new technologies and solve complete business issues.

AEM (Adobe Experience Manager).Familiarity and working knowledge with.Excellent problem-solving and analytical skills.Experience with unit testing and end-to-end testing frameworks (such as JEST, Jasmine, Karma).Experience with RESTful APIs and integrating with other systems and services.

Java full stack developers, Python/Java developers, data analysts, data engineers, data scientists, and machine learning engineers. Event videos (OCW, JavaOne, Gartner):.

Design, develop, and maintain responsive, accessible, and performant user interfaces using JavaScript (ES6+), HTML5, and CSS3. Highly desirable: contribute to backend development using Java and Spring (e. JavaScript (ES6+) - advanced proficiency; strong understanding of asynchronous programming, per

Best qualified candidates will have strong experiences in Java 8+, Cloud, Containerization, Data Streaming, and Agile/Scrum. Opening / Selling Statement: Our client is seeking an Mid-Sr Level Java engineer for engineering and delivery microservices and API's to support Customer Data. The team suppor

Design and architect full stack enterprise applications using Java, Spring Boot, Angular, and AEM. Expertise in Java/J2EE, Spring Boot, RESTful APIs, Microservices architecture. Strong experience with front-end technologies: Angular, HTML5, CSS3, JavaScript/TypeScript.

Our client is seeking a Sr Level Java engineer for engineering and delivery microservices and API's to support Customer Data. The team supports various mid-layer services across the organization and to external partners and is seeking a strong Java Engineer with cloud experience. Best qualified cand

Knowledge of Core Java, Javascript, C++, or software programming. Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers. Experience in programming language Java and understanding of the software development life cycle.

The ideal candidate will design, develop, and deploy cloud-native applications on.Compute Engine, Cloud Functions, Pub/Sub, BigQuery, and Cloud Storage for scalable solutions.Ensure application security using.Collaborate with cross-functional teams to deliver high-quality solutions.Monitor and optim

JavaScript frameworks (JavaScript, AJAX, AngularJS, jQuery, React). J2EE Technologies: Servlets, JSP, JSTL, JSON, JDBC, Java Beans, Collections, Exception Handling, Multi-Threading, I/O.

Job Title: Java Backend Developer.

JavaScript frameworks (JavaScript, AJAX, AngularJS, jQuery, React). J2EE Technologies: Servlets, JSP, JSTL, JSON, JDBC, Java Beans, Collections, Exception Handling, Multi-Threading, I/O.

Event videos (OCW, JavaOne, Gartner):.

The team supports various mid-layer services across the organization and to external partners and is seeking a strong Java Engineer with cloud experience. Best qualified candidates will have strong experiences in Java 8+, Cloud, Containerization, Data Streaming, and Agile/Scrum. Java 8+, Spring Boot

Already studied algorithms and Java in school? Perfect-we take that knowledge and teach you to. We help you validate your skills with Oracle Java SE, AWS, Power BI, Spring, or Data Science certifications that.

Java", "Spring boot", "microservices", "Cassandra", "Kafka", "ELK"]. Java, Spring boot, microservices, Cassandra & Kafka. Experience in developing RESTFUL Web Services using Java, Spring Boot and Jersey.

We're seeking an experienced Lead Full Stack Java Developer / On-Site Coordinator with strong backend and UI development skills. We're specifically looking for senior-level Java professionals with deep hands-on experience and a proactive approach to working with globally distributed team.

Secondary: Java full stack, Java script, Html. Java server-side experience is highly desirable to support end-to-end delivery, API integration, and full lifecycle ownership. Design, develop, and maintain responsive, accessible, and performant user interfaces using JavaScript (ES6+), HTML5, and CSS3.

The ideal candidate will have a strong background in Java and Spring Boot, with additional skills in MySQL and JUnit.

Must be able to write/review production quality code in Java is a must. Job Title:- Java Full Stack with Angular exp.

We’re seeking an experienced Lead Full Stack Java Developer / On-Site Coordinator with strong backend and UI development skills. We're specifically looking for senior-level Java professionals with deep hands-on experience and a proactive approach to working with globally distributed team.

Responsibilities include writing production-level Java code, working with microservices, and collaborating with tech leads. A leading technology company located in Bellevue, WA is seeking a Java Full Stack Developer with Angular experience.

The ideal candidate should have over 8 years of experience with Java and Spring, and experience in leading teams.

Expert in modern Java (preferably Java 21) and hands-on with the latest features and best practices. Design, develop, and maintain scalable, high-performance, and modular microservices using Java (version 21+) and Spring Boot (3. Open-source or community contributions in AI/Java/microservices/cloud

Server-side technologies: Java, Kotlin with a solid understanding of API design in GraphQL/RESTful services. Frontend libraries and frameworks: Javascript/Typescript, HTML/CSS, React.

Programming experience with at least one modern language such as Java, C# or other object-oriented languages. Understanding of HTML-5, JavaScript/TypeScript, XML, and JSON.