{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/debezium"},"x-facet":{"type":"skill","slug":"debezium","display":"Debezium","count":3},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ea54fd90-eea"},"title":"Staff Software Engineer, Streaming Infrastructure","description":"<p>Join us in building the future of finance.</p>\n<p>Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.</p>\n<p>We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.</p>\n<p>The Streaming Platform team’s mission is to enable real-time, reliable, and scalable data streaming across Robinhood’s products and infrastructure. We build and maintain foundational platforms that power communication between services and unlock streaming analytics across the company. Our systems are critical to Robinhood’s ability to build innovative financial products and deliver seamless experiences to our customers!</p>\n<p>As a Staff Software Engineer, you’ll design, develop, and operate distributed systems that support core data pipelines and real-time event processing. You’ll collaborate with engineers across product, data, and ML teams to scale our platform, improve reliability, and enhance the developer experience across the company.</p>\n<p>This role is based in our Bellevue, WA office, with in-person attendance expected at least 3 days per week.</p>\n<p>At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.</p>\n<p><strong>What you’ll do</strong></p>\n<ul>\n<li>Design and operate distributed data streaming platforms that scale to billions of events per day</li>\n</ul>\n<ul>\n<li>Develop secure, performant, and highly reliable systems using technologies like Kafka, Flink, and Debezium</li>\n</ul>\n<ul>\n<li>Collaborate closely with product, infrastructure, data, and ML teams to ensure the platform supports diverse use cases</li>\n</ul>\n<ul>\n<li>Build tools and documentation to deliver a smooth, empowering experience for internal developers</li>\n</ul>\n<ul>\n<li>Mentor and support other engineers to drive architectural decisions and long-term technical strategy</li>\n</ul>\n<p><strong>What you bring</strong></p>\n<ul>\n<li>6+ years of professional experience in software engineering, including building distributed systems at scale</li>\n</ul>\n<ul>\n<li>A background in tools like Kafka, Flink and Debezium</li>\n</ul>\n<ul>\n<li>Proficiency in designing and implementing event-driven architectures and stream processing systems</li>\n</ul>\n<ul>\n<li>A passion for platform engineering and creating great experiences for other developers</li>\n</ul>\n<ul>\n<li>Strong communication and collaboration skills to work across technical teams</li>\n</ul>\n<p><strong>What we offer</strong></p>\n<ul>\n<li>Challenging, high-impact work to grow your career.</li>\n</ul>\n<ul>\n<li>Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching.</li>\n</ul>\n<ul>\n<li>Best-in-class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents.</li>\n</ul>\n<ul>\n<li>Lifestyle wallet , a highly flexible benefits spending account for wellness, learning, and more.</li>\n</ul>\n<ul>\n<li>Employer-paid life &amp; disability insurance, fertility benefits, and mental health benefits.</li>\n</ul>\n<ul>\n<li>Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!</li>\n</ul>\n<ul>\n<li>Exceptional office experience with catered meals, events, and comfortable workspaces.</li>\n</ul>\n<p>In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.</p>\n<p>Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. 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For other locations not listed, compensation can be discussed with your recruiter during the interview process.</p>\n<p>Base Pay Range:</p>\n<p>Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC): $230,000-$270,000 USD</p>\n<p>Zone 2 (Denver, CO; Westlake, TX; Chicago, IL): $203,000-$238,000 USD</p>\n<p>Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL): $180,000-$211,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ea54fd90-eea","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Robinhood","sameAs":"https://www.robinhood.com/","logo":"https://logos.yubhub.co/robinhood.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/robinhood/jobs/7489755","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$230,000-$270,000 USD","x-skills-required":["Kafka","Flink","Debezium","event-driven architectures","stream processing systems","distributed systems","software engineering"],"x-skills-preferred":[],"datePosted":"2026-04-25T21:03:39.121Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bellevue, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"Kafka, Flink, Debezium, event-driven architectures, stream processing systems, distributed systems, software engineering","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":230000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e8f38c9b-a46"},"title":"Senior Software Engineer, Streaming Platform","description":"<p>Join us in building the future of finance.</p>\n<p>Our mission is to democratize finance for all. 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Our systems are critical to Robinhood’s ability to build innovative financial products and deliver seamless experiences to our customers!</p>\n<p>As a Senior Software Engineer, you’ll design, develop, and operate distributed systems that support core data pipelines and real-time event processing. You’ll collaborate with engineers across product, data, and ML teams to scale our platform, improve reliability, and enhance the developer experience across the company.</p>\n<p>Some of the exciting challenges the team has been solving:</p>\n<ul>\n<li>Robinhood’s Use of WarpStream for Logging</li>\n</ul>\n<ul>\n<li>Robinhood’s Kafka Journey from EC2 to Kubernetes</li>\n</ul>\n<ul>\n<li>Robinhood’s Kafka Proxy</li>\n</ul>\n<p>This role is based in our Bellevue, WA office, with in-person attendance expected at least 3 days per week.</p>\n<p>At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. 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As a Data Platform Engineer, you will lead the design and implementation of our cloud-native Warehouse and Machine Learning platforms, ensuring they are robust, secure, and scalable.</p>\n<p>Key responsibilities include:\nBuilding for Scale: You will lead the design and implementation of our cloud-native Warehouse and Machine Learning platforms, ensuring they are robust, secure, and scalable.\nMastering the Orchestration: You’ll dive deep into Kubernetes, leveraging Operators and Helm to automate complex data workflows and platform management. Building out kube native data and AI architecture.\nBridging the Clouds: You will improve our existing tooling and implement new, seamless integrations between our AWS and GCP environments.\nDefining our State: You’ll use Terraform to manage and define our entire data infrastructure through code, ensuring reproducibility and transparency across the stack.</p>\n<p>Requirements:\nK8s Expertise: You have a solid understanding and practical experience with Kubernetes, specifically working with Operators and Helm to manage complex application lifecycles.\nThe Engineer&#39;s Mindset: You are proficient in Python or Java and enjoy writing clean, efficient code to solve infrastructure challenges.\nCloud Native: You are comfortable working in at least one of the major cloud providers (AWS or GCP) and understand how to get the best out of their managed services.\nOptimising and refine: current data infrastructure, and deploying greenfield kube native OSS projects</p>\n<p>Bonus points if you have:\nExperience with SQL-based transformation workflows, specifically using dbt within BigQuery.\nFamiliarity with streaming and ingestion tech like Kafka or Debezium.\nA background in Linux administration or data management best practices.</p>\n<p>Interview process:\nInterviewing is a two-way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you!\nOur interviews are conversational and we want to get the best from you, so come with questions and be curious.\nIn general, you can expect the below, following a chat with one of our Talent Team:\nStage 1 - 30 minutes with one of the team\nStage 2 - Take-home challenge\nStage 3 - 60 minutes technical interview with two team members\nStage 4 - 45 minutes final with two data executives</p>\n<p>Benefits:\n25 days holiday (plus take your public holiday allowance whenever works best for you)\nAn extra day’s holiday for your birthday\nAnnual leave is increased with length of service, and you can choose to buy or sell up to five extra days off\n16 hours paid volunteering time a year\nSalary sacrifice, company-enhanced pension scheme\nLife insurance at 4x your salary &amp; group income protection\nPrivate Medical Insurance with VitalityHealth including mental health support and cancer care.\nPartner benefits include discounts with Waitrose, Mr&amp;Mrs Smith and Peloton\nGenerous family-friendly policies\nPerkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks\nAccess to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_0b1fb5b7-d63","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Starling Bank","sameAs":"https://www.starlingbank.com/","logo":"https://logos.yubhub.co/starlingbank.com.png"},"x-apply-url":"https://apply.workable.com/j/1EA5EDDAD9","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Kubernetes","Python","Java","Terraform","AWS","GCP","SQL","dbt","BigQuery","Kafka","Debezium","Linux"],"x-skills-preferred":[],"datePosted":"2026-03-20T16:15:21.306Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dublin"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Kubernetes, Python, Java, Terraform, AWS, GCP, SQL, dbt, BigQuery, Kafka, Debezium, Linux"}]}