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They will apply established standards for semantic modeling, domain alignment, concept reuse, and ontology lifecycle management.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Supporting the implementation and ongoing maintenance of ontology enablement practices and operating model strategy to support AI, analytics, and digital initiatives across multiple Business Units</li>\n<li>Applying established standards for semantic modeling, domain alignment, concept reuse, and ontology lifecycle management</li>\n<li>Serving as the enterprise subject-matter authority for ontology-related topics, providing recommendations and guidance to governance and leadership forums</li>\n<li>Collaborating with Global IT and enterprise data architecture to ensure ontology practices align with enterprise data platforms and Control Tower operational processes</li>\n</ul>\n<ul>\n<li>Partnering with Business Units to understand domain concepts, terminology, operational data, and AI use cases, translating them into ontology-aligned data structures</li>\n<li>Guiding Business Units in contributing domain models, metadata, and data assets into the enterprise ontology using defined governance and intake processes</li>\n<li>Enabling repeatable onboarding of Business Unit data into AI initiatives, reducing reliance on ad-hoc IT engagement and minimizing duplicated effort</li>\n</ul>\n<ul>\n<li>Serving as a liaison between Business Units and Global IT for AI data and ontology-related matters</li>\n<li>Engaging with Global IT teams to understand enterprise data platforms, workflows, standards, and operational constraints</li>\n<li>Translating Global IT practices, requirements, and workflows into clear, actionable guidance for Business Unit data stewards</li>\n</ul>\n<ul>\n<li>Educating, guiding, and supporting Business Unit data stewards on their roles in data governance, ontology contribution, and AI data enablement</li>\n<li>Supporting the development and documentation of workflows, expectations, and operating models for how BU data stewards engage with the Control Tower and Global IT</li>\n</ul>\n<ul>\n<li>Ensuring Business Unit Data Stewards understand how to prepare, govern, and submit data assets for ontology integration and AI use</li>\n<li>Promoting consistent adoption of governance, quality, and semantic standards across Business Units</li>\n</ul>\n<ul>\n<li>Supporting integration of data and ontology enablement into Control Tower workflows</li>\n<li>Providing operational insight into data readiness, semantic risks, and governance gaps to inform Control Tower decision-making</li>\n<li>Identifying systemic issues and contributing recommendations to drive continuous improvement of data enablement processes</li>\n</ul>\n<ul>\n<li>Ensuring semantic integrity, data quality, lineage, and consistency are maintained as data assets flow into AI solutions</li>\n<li>Identifying systemic issues and recommending continuous improvement opportunities to Control Tower Operations leadership</li>\n<li>Influencing corrective actions, tooling investments, or governance updates to mitigate long-term risk</li>\n</ul>\n<p>This role requires a minimum of 10 years of relevant work experience in data architecture, data governance, ontology development, semantic modeling, or related disciplines, supporting cross-functional initiatives spanning multiple business units and IT organizations.</p>\n<p>The ideal candidate will have in-depth expertise in ontology design, semantic modeling, and domain-driven data architecture, as well as experience contributing to the development and implementation of data and ontology strategies. They will also have demonstrated experience serving as a bridge between business stakeholders and IT organizations, with a strong ability to translate technical platforms, workflows, and constraints into business-understandable guidance.</p>\n<p>A Bachelor&#39;s level degree or diploma in Computer Science, Data Science/Engineering, Applied Mathematics/Statistics, Electronics/Electrical, Information Technology/Information Sciences, or a related field of study is required. A Master&#39;s or Ph.D. degree is preferred.</p>\n<p>The successful candidate will be comfortable operating in ambiguous, evolving environments with enterprise-level impact, and will have a systems-thinking mindset with understanding of AI, analytics, and enterprise data platforms.</p>\n<p>Highly desirable skills include proficiency in OWL (Web Ontology Language), RDF/RDFS – graph-based data model, storage in graph databases such as Neo4j or Amazon Neptune, and querying using SPARQL for RDF-based ontologies.</p>\n<p>This is an onsite job based at our ADC, Raymond, OH office. 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Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.</p>\n<p>As a Senior Professional Services Consultant for Zero Trust Services/SASE and Network Services, you are an individual contributor working in the post-sales landscape, responsible for the technical execution of solutions and guidance to our customers to get the most value possible from their Cloudflare investment.</p>\n<p>Responsibilities:</p>\n<p>Plan and deliver timely and organized services for customers, ensure customers see the full value in Cloudflare’s products and advice on product best practices.</p>\n<p>Gather business and technical requirements, use cases and any other information required to build, migrate and deliver a solution on behalf of the customer and transition the Cloudflare working environment to the customer.</p>\n<p>Produce a Solution Design, HLD, LLD, databuilds, procedures, scripts, test plans, drawings, deployment plan, migration plan, as-builts, and any other artifacts necessary to deliver the solution and transition smoothly into the customer’s technical teams.</p>\n<p>Implement changes on behalf of the customer in the Cloudflare environment following the customer’s change management process.</p>\n<p>Provide guidance to the customer to configure their CPEs and integration points.</p>\n<p>Troubleshoot implementation issues and collaborate with Customer Support, Engineering and other teams to assist technical escalations.</p>\n<p>Contribute towards the success of the organization through knowledge sharing activities such as contributing to internal and external documentation, answering technical Q&amp;A, and helping to iterate on best practices.</p>\n<p>Support building operational assets like templates, automation scripts, procedures, workflows, etc.</p>\n<p>Experience might include a combination of the skills below:</p>\n<p>5+ years of experience working in a customer-facing technical implementation or onboarding team, security engineering team, security operations center or other highly technical team</p>\n<p>Layers and protocols of the OSI model, such as TCP/IP, TLS, DNS, HTTP</p>\n<p>Deep understanding of Internet and Security technologies such as SWG, Sandboxing, Firewalls, DLP, and VPNs</p>\n<p>Deep understanding of Zero Trust technologies such as Zero Trust Network Access (ZTNA), Secure Web Gateway (SWG), Remote Browser Isolation (RBI), Data Loss Prevention (DLP), CASB and Cloud Email Security</p>\n<p>Deep understanding of SSO, ADFS, LDAP and SAML and the role of the IdP for SSO.</p>\n<p>Security aspects of an internet property, such as Firewalls, WAFs, Bot Management, Rate Limiting, (M)TLS</p>\n<p>Performance aspects of an internet property, such as Speed, Latency, Caching, HTTP/2, TLSv1.3</p>\n<p>Network transformation technologies such as MPLS, SD-WAN or WAN Optimization</p>\n<p>Ability to manage a project, work to deadlines, and prioritize between competing demands</p>\n<p>Demonstrated technical experience (hands-on-keyboard) with:</p>\n<p>Experience working with Reverse &amp; 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You will report directly to the BSA/AML Program Lead.</p>\n<p>As a Senior SAR Program Manager, you will lead the design, implementation, and continuous improvement of the end-to-end SAR program, including investigation workflows, quality assurance, filing processes, and escalation protocols.</p>\n<p>You will apply hands-on experience in financial crimes investigations to build and refine SAR investigation operational procedures that align with BSA/AML, OFAC, and other applicable regulations and industry best practices.</p>\n<p>Responsibilities include:</p>\n<ul>\n<li>Design and optimize compliance case review and SAR investigation operational procedures to ensure regulatory compliance, consistency, and efficiency.</li>\n</ul>\n<ul>\n<li>Continuously review SAR and monitoring processes; recommend and implement enhancements to improve efficiency, reduce false positives, strengthen detection of suspicious activity, and elevate overall program effectiveness.</li>\n</ul>\n<ul>\n<li>Demonstrate deep regulatory knowledge of BSA/AML/OFAC, combined with strong process and systems design, communication, and data analytics skills.</li>\n</ul>\n<ul>\n<li>Build tactical and scalable solutions for SAR investigation teams to manage high-volume compliance tasks and associated risks.</li>\n</ul>\n<ul>\n<li>Draft and maintain all relevant SAR program documentation, policies, procedures, and training materials in accordance with regulatory updates, new product launches, and Compliance team standards.</li>\n</ul>\n<ul>\n<li>Collaborate cross-functionally to develop and track key health metrics for the SAR program; analyze trends and patterns in investigations; and produce monthly metrics and reports for presentation to leadership and various forums.</li>\n</ul>\n<p>Basic qualifications include:</p>\n<ul>\n<li>7+ years of progressive experience in financial crimes compliance, with direct, hands-on experience conducting and/or leading FinCrimes investigations.</li>\n</ul>\n<ul>\n<li>Proven track record as a SAR Program Manager or in a senior SAR investigations leadership role, including designing and managing SAR processes from intake through filing.</li>\n</ul>\n<ul>\n<li>Deep expertise in SAR investigation processes, regulatory requirements (BSA, AML, OFAC), and industry best practices.</li>\n</ul>\n<ul>\n<li>Analytical and metrics-driven mindset with the ability to anticipate problems and develop complete, practical solutions.</li>\n</ul>\n<ul>\n<li>Strong collaborator who works effectively with cross-functional teams and stakeholders at all levels of seniority.</li>\n</ul>\n<p>Preferred qualifications include:</p>\n<ul>\n<li>Direct experience managing or supporting 504 NYDFS requirements.</li>\n</ul>\n<ul>\n<li>Background in money transfer, fintech, payments, or regulated financial services environments.</li>\n</ul>\n<ul>\n<li>Nice to have: CAMS or other relevant industry certifications (e.g., CFE, CRCM).</li>\n</ul>\n<ul>\n<li>Nice to have: Basic SQL skills or experience working with transaction monitoring / case management systems.</li>\n</ul>\n<p>Compensation and benefits include a base salary of $148,000-222,000 USD, plus equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short &amp; 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In this role, you will play a critical role in establishing technical credibility and confidence with our prospective clients leveraging your experience and drive to envision, position and sell Yubico&#39;s products.</p>\n<p>Your main responsibilities will include:\nEstablishing yourself as a resident subject matter expert on Yubico&#39;s products and ecosystem\nStrategizing with sales reps to help achieve target sales quotas\nBuilding strong relationships with prospects and establishing technical credibility to help advance deals\nMaintaining relationships with existing customers and looking for opportunities to expand their product usage and improve their security posture where relevant\nBuilding and delivering successful Proofs of Concept (PoCs), deployment planning, and technical consulting engagements\nActively communicating with engineering and marketing with respect to evolving customer requirements in the marketplace\nContinually assisting with solutions development to expand to new target markets and industries\nImproving the customer&#39;s experience through conferences, workshops, and written documentation\nSupporting and being comfortable with the rapid, unpredictable nature of a young innovative company\nWorking with customers remotely and in person</p>\n<p>Basic Requirements:\nMinimum 3 years of experience in roles that require direct technical customer interaction, such as Solutions Engineering or a Pre-sales background preferably in the IT-security space\nKnowledge of commonly used security technologies and protocols including two-factor authentication, IAM, Single Sign-On, VPN, various authentication protocols (FIDO, PIV, OATH, SAML, OpenID, ADFS)\nAble to configure and install enterprise technologies including network infrastructure, virtualization, web applications, Windows, Mac, and Linux\nAble to troubleshoot Windows, Mac, and Linux environments\nExcellent written and oral business communication skills\nExcellent project management skills\nAbility to collaborate across geographically dispersed functions\nProficient French as well as good English and Spanish are required. 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This role is available in Redmond, WA. Our team powers the backbone of Microsoft’s global ads marketplace—gathering, storing, and enriching over half a trillion ad-serving events every day. We build data platforms that fuel business analytics, machine learning models, and real-time reporting at massive scale.</p>\n<p>As part of our team, you’ll:</p>\n<p>Design and operate high-scale, high-performance systems that process billions of events through near-real-time and offline pipelines.\nBuild data applications that directly impact Microsoft Ads’ double-digit annual growth.\nWork on cutting-edge technologies in distributed systems, machine learning, and big data.</p>\n<p><strong>Responsibilities</strong></p>\n<p>Work with BingAds stakeholders to determine requirements for new features to drive up Ads business.\nCreate system design for feature requirements.\nAssure system meets security and compliance requirements and expectations.\nCreates a clear and articulated plan for testing and assuring quality solutions.\nImplement the features with high efficiency, extensibility, diagnosability, reliability, and maintainability with few defects.\nReviews code of product to assure it meets the team’s and Microsoft’s quality standards, is reliable and accurate, and is appropriate for the scale of the product feature.\nMaintain operations of live service as issues arise on a rotational, on-call basis.\nIdentifies solutions and mitigations to simple and complex issues and escalates as necessary.\nActs as a Designated Responsible Individual (DRI) working on call to monitor system/product feature/service for degradation, downtime, or interruptions.\nResponds within Service Level Agreement (SLA) timeframe.\nEscalate issues to appropriate owners.\nBuild knowledge, share new ideas, and share pinpoints of engineering tool gaps to improve software developer tools to support other programs, tools, and applications to create, debug, and maintain code for product features.\nContribute to the development of automation within production and deployment of a product feature.\nProfile and analyze distributed system performance and capacity bottlenecks.\nPropose and implement solutions to improve system latency and capacity to meet BingAds online serving requirements.</p>\n<p><strong>Qualifications</strong></p>\n<p>Required Qualifications:</p>\n<ul>\n<li>Bachelor’s Degree in Computer Science or related technical field</li>\n<li>4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python</li>\n<li>Ability to meet Microsoft, customer and/or government security screening requirements</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Master’s Degree in Computer Science or related technical field</li>\n<li>6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python</li>\n<li>Experience in Azure</li>\n<li>Experience in Machine learning and online system design, implementation and qualification</li>\n<li>2+ years’ experience in Distributed Systems and Big Data Technologies such as Spark, Hadoop, HDFS, Kafka, Flink, Scala</li>\n</ul>\n<p>#MicrosoftAI #BingAds Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.</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_df9a4b26-709","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/senior-software-engineer-92/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"USD $119,800 – $234,700 per year","x-skills-required":["C","C++","C#","Java","JavaScript","Python","Azure","Machine learning","Distributed Systems","Big Data Technologies"],"x-skills-preferred":["Spark","Hadoop","HDFS","Kafka","Flink","Scala"],"datePosted":"2026-03-08T22:17:03.136Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C, C++, C#, Java, JavaScript, Python, Azure, Machine learning, Distributed Systems, Big Data Technologies, Spark, Hadoop, HDFS, Kafka, Flink, Scala","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":119800,"maxValue":234700,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c873a489-0dc"},"title":"Data Engineer, Analytics","description":"<p><strong>Data Engineer, Analytics</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p>Applied AI</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$230K – $385K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p><strong>About the team</strong></p>\n<p>The Applied team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses.</p>\n<p>We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.</p>\n<p><strong>About the role</strong></p>\n<p>We&#39;re seeking a Data Engineer to take the lead in building our data pipelines and core tables for OpenAI. These pipelines are crucial for powering analyses, safety systems that guide business decisions, product growth, and prevent bad actors. If you&#39;re passionate about working with data and are eager to create solutions with significant impact, we&#39;d love to hear from you. This role also provides the opportunity to collaborate closely with the researchers behind ChatGPT and help them train new models to deliver to users. As we continue our rapid growth, we value data-driven insights, and your contributions will play a pivotal role in our trajectory. Join us in shaping the future of OpenAI!</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Design, build and manage our data pipelines, ensuring all user event data is seamlessly integrated into our data warehouse.</li>\n</ul>\n<ul>\n<li>Develop canonical datasets to track key product metrics including user growth, engagement, and revenue.</li>\n</ul>\n<ul>\n<li>Work collaboratively with various teams, including, Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand their data needs and provide solutions.</li>\n</ul>\n<ul>\n<li>Implement robust and fault-tolerant systems for data ingestion and processing.</li>\n</ul>\n<ul>\n<li>Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to bear.</li>\n</ul>\n<ul>\n<li>Ensure the security, integrity, and compliance of data according to industry and company standards.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have 3+ years of experience as a data engineer and 8+ years of any software engineering experience(including data engineering).</li>\n</ul>\n<ul>\n<li>Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.</li>\n</ul>\n<ul>\n<li>Experience with distributed processing technologies and frameworks, such as Hadoop, Flink and distributed storage systems (e.g., HDFS, S3).</li>\n</ul>\n<ul>\n<li>Expertise with any of ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks.</li>\n</ul>\n<ul>\n<li>Solid understanding of Spark and ability to write, debug and optimize Spark code.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</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_c873a489-0dc","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/fc5bbc77-a30c-4e7a-9acc-8a2e748545b4","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$230K – $385K • Offers Equity","x-skills-required":["Python","Scala","Java","Hadoop","Flink","HDFS","S3","Airflow","Dagster","Prefect","Spark"],"x-skills-preferred":[],"datePosted":"2026-03-06T18:20:01.101Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Scala, Java, Hadoop, Flink, HDFS, S3, Airflow, Dagster, Prefect, Spark","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":230000,"maxValue":385000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_26c57034-3a3"},"title":"Senior Software Engineer","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Senior Software Engineer at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising haptic entertainment technology. You&#39;ll work directly with leadership to shape the company&#39;s direction in the cinema and simulation markets.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Senior Software Engineer, you&#39;ll design and operate high-scale, high-performance systems that process billions of events through near-real-time and offline pipelines. You&#39;ll build data applications that directly impact Microsoft Ads&#39; double-digit annual growth. You&#39;ll work on cutting-edge technologies in distributed systems, machine learning, and big data.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Conduct in-depth market research across cinema and simulation sectors, identifying emerging trends, competitive threats, and partnership opportunities that directly inform the company&#39;s quarterly strategic planning sessions</li>\n<li>Work with BingAds stakeholders to determine requirements for new features to drive up Ads business</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Experience in Azure</li>\n<li>Experience in Machine learning and online system design, implementation and qualification</li>\n<li>2+ years’ experience in Distributed Systems and Big Data Technologies such as Spark, Hadoop, HDFS, Kafka, Flink, Scala</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Strong problem-solving skills</li>\n<li>Excellent communication and collaboration skills</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary</li>\n<li>Comprehensive benefits package</li>\n<li>Opportunities for professional growth and development</li>\n</ul>\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_26c57034-3a3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/senior-software-engineer-79/","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"USD $119,800 – $234,700 per year","x-skills-required":["C","C++","C#","Java","JavaScript","Python","Azure","Machine learning","Distributed Systems","Big Data Technologies"],"x-skills-preferred":["Spark","Hadoop","HDFS","Kafka","Flink","Scala"],"datePosted":"2026-03-06T07:33:27.032Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C, C++, C#, Java, JavaScript, Python, Azure, Machine learning, Distributed Systems, Big Data Technologies, Spark, Hadoop, HDFS, Kafka, Flink, Scala","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":119800,"maxValue":234700,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e3ce7035-a47"},"title":"Software Engineer II","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Software Engineer II to join their Ads Data Platform Team. This role is available in Redmond, WA and is a great opportunity for those who are passionate about solving complex problems and driving innovation.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Software Engineer II, you will design and operate high-scale, high-performance systems that process billions of events through near-real-time and offline pipelines. You will build data applications that directly impact Microsoft Ads&#39; double-digit annual growth. You will work on cutting-edge technologies in distributed systems, machine learning, and big data.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Design and operate high-scale, high-performance systems that process billions of events through near-real-time and offline pipelines.</li>\n<li>Build data applications that directly impact Microsoft Ads&#39; double-digit annual growth.</li>\n<li>Work on cutting-edge technologies in distributed systems, machine learning, and big data.</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>2+ years of technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Experience in Azure.</li>\n<li>Experience in machine learning and online system design, implementation and qualification.</li>\n<li>2+ years&#39; experience in Distributed Systems and Big Data Technologies such as Spark, Hadoop, HDFS, Kafka, Flink, Scala.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Strong problem-solving skills and ability to work in a fast-paced environment.</li>\n<li>Excellent communication and collaboration skills.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary range of $100,600 - $199,000 per year.</li>\n<li>Comprehensive benefits package including health, dental, and vision insurance.</li>\n<li>401(k) matching program.</li>\n<li>Paid time off and holidays.</li>\n<li>Opportunities for professional growth and development.</li>\n</ul>\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_e3ce7035-a47","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/software-engineer-ii-7/","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$100,600 - $199,000 per year","x-skills-required":["C","C++","C#","Java","JavaScript","Python","Azure","machine learning","Distributed Systems","Big Data Technologies"],"x-skills-preferred":["Spark","Hadoop","HDFS","Kafka","Flink","Scala"],"datePosted":"2026-03-06T07:28:17.990Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C, C++, C#, Java, JavaScript, Python, Azure, machine learning, Distributed Systems, Big Data Technologies, Spark, Hadoop, HDFS, Kafka, Flink, Scala","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":100600,"maxValue":199000,"unitText":"YEAR"}}}]}