• Build Blazor WASM components with clean, reusable patterns and accessibility in mind • Implement Minimal API endpoints in .NET with OpenAPI, validation, and performance in focus • Contribute to our MAUI mobile app, including shared component libraries • Work with EF Core and SQL (Postgres); define/maintain database relationships and manage code-first EF Core migrations • Support real time UI behavior using SignalR where needed • Leverage Claude Enterprise to generate, refactor, and maintain test scripts efficiently, and help define best practices for AI-assisted testing on the team. • Integrate authentication/authorization via Microsoft Entra ID (OIDC/OAuth2, MSAL, roles/scopes) • Ship via Azure DevOps (repos, pipelines, environments), following branch policies and PR reviews • Improve code quality through SonarCloud rules aligned with our standards • Generate and consume API clients from OpenAPI/Swagger for typesafe integration • Instrument services with distributed tracing and logging using Azure Application Insights • Help monitor service health, failure rates, and performance; participate in alert triage for staging/production • Work in three-week sprints with Product to refine user stories and acceptance criteria

Role Description The Community You Will Join: - We connect Airbnb’s community with the right information, in the right place, at the right time. - We tailor Messaging & Notifications so hosts on Airbnb can streamline their operations. - Travelers get just the information they need to enjoy their stay worry-free. - We are building new connections within our community to help enrich the experience of hosting & traveling on Airbnb. - The data team utilizes industry-leading tools, builds scalable data systems, and applies cutting-edge ML models to provide insights and empower all products in the Communication and Connectivity (CnC) organization. The Difference You Will Make: - This role will lead key initiatives to design and build large-scale, distributed data systems - both batch and real-time processing. - The data will power machine learning models and unlock new product features. - You’ll be at the center of cross-functional collaboration, bridging backend, frontend/client, and machine learning engineering teams. - CnC is applying GenAI and large language models (LLMs) to power products that enhance the Airbnb experience. - We're building a robust ML platform to power our product ambitions. A Typical Day: - Shape the team’s long-term vision and roadmap in close collaboration with cross-functional partners across Airbnb. - Build strong relationships with partner engineering teams, including backend, client, data science, analytics, and ML. - Design, develop, and maintain reliable, scalable data pipelines - both batch and real-time. - Implement robust offline and online feature building processes to enable faster production of ML products. - Architect and build ML infra and optimize for performance, scalability, and cost-effectiveness. - Mentor and develop engineers on the team, while also contributing to and influencing the broader data engineering community at Airbnb. Qualifications - 9+ years of relevant industry experience with a Bachelor’s and/or Master’s degree in CS/EE, or equivalent experience, or 6+ years of experience with a PhD. - Strong CS fundamentals, and knowledge of architecture and common design patterns. - You’re passionate about being in a product-focused environment where everyone cares deeply about customer impact. - You have experience of running data processing pipelines in production using distributed data processing frameworks like Apache Spark or Flink. - Experience collaborating with client, backend, ml, analytics teams, product and business partners. - Effectively work across team boundaries to establish overarching data architecture, data flow, and provide guidance to individual teams. - Experience working on/with end-to-end Machine Learning products. - Excellent communication skills, both written and verbal. Requirements - 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. - You must live in a state where Airbnb, Inc. has a registered entity. Benefits - Base pay range: $204,000 — $255,000 USD. - This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Our Commitment To Inclusion & Belonging - Airbnb is committed to working with the broadest talent pool possible. - We believe diverse ideas foster innovation and engagement. - All qualified individuals are encouraged to apply. - We strive to provide a disability inclusive application and interview process. - If you are a candidate with a disability and require reasonable accommodation, please contact us.

Role Description At Clari + Salesloft, our Principal Engineer will be pivotal to our company’s success. You will be a key member of our fast-growing and high-performing Product Engineering org. We are looking for experienced Principal Engineers who can help realize Clari + Salesloft vision with their passion and proven track record of excellence and innovation. We are looking for engineers who are passionate about their work and who thrive working on leading-edge cloud-based technologies to develop ground-breaking AI-driven enterprise-grade applications. On a day-to-day basis, you will be responsible to: - Shape future-proof interfaces that are easy to build against and meet the requirements of client-facing teams. - Brainstorm with Product Managers, Designers and Engineers, and other cross-functional partners to conceptualize and build new features for our growing user base. - Produce high-quality results by leading large cross-functional projects that have a significant impact on the business. - Debug production issues across services and multiple levels of the stack, and uplevel the observability and reliability of the overall system. - Own architecture decisions across multiple teams, drive long term technical strategy, and raise the bar for engineering excellence company-wide. - Mentor Staff and Senior engineers. In addition to working with amazing colleagues who exemplify our ‘team over self’ core value, you will also have the opportunity to work on impactful and revolutionary software that is changing the way sellers sell. You will have an opportunity to make a difference. Qualifications - 12+ years of experience in building distributed systems or platform infrastructure designed for high-scale, data-intensive workloads. - Expert-level proficiency in Java or a similar object-oriented language and familiarity with infrastructure tooling (Airflow, Kubernetes, Ray, Terraform), service frameworks (FastAPI, gRPC), and observability platforms (Prometheus, Grafana, DataDog, Splunk). - Deep experience with cloud infrastructure, ideally AWS or GCP, including Kubernetes clusters (GKE/EKS), serverless architectures, and managed services (e.g., Lambda, Cloud Run, ECS). - Architected solutions requiring distributed data infrastructure: message queues (Kafka, Kinesis), caching systems (Redis, Memcached), database optimization, and building resilient, fault-tolerant architectures. - Expertise with SQL (Postgres) / NoSQL (MongoDB) and data warehouse modeling; capable of optimizing complex data queries, joins, aggregations, and transformations. - Solid improvements of platform monitoring and optimizations, including identifying performance bottlenecks, latency optimization, cost management, and scaling high-throughput API services efficiently. Benefits - Inclusive and supportive workplace where everyone belongs and can thrive. - Focus on culture add, not culture fit, believing teams are made stronger by unique perspectives, experiences, and identities. - Equal Opportunity Employer providing employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, pregnancy, or any other characteristic protected by law. Company Description Clari + Salesloft are building the next era of enterprise revenue — one where teams make confident decisions powered by AI and real signals. By combining our scale, insights, and AI innovation, we’re building the industry’s first Predictive Revenue System, enabling humans and AI to work together to make smarter decisions and drive consistent growth. With thousands of customers using our platforms every day, we have an unmatched view into how revenue is actually won — the Revenue Context that reveals what happens, when, and with what outcome. This gives us a unique opportunity to transform an entire category and set a new benchmark for how modern revenue teams operate. Join us to help transform how companies around the world run revenue — and build the platform that will guide leading revenue teams into the future.

Senior Lead Software Engineer, Full Stack - Shopping (Remote Eligible) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One Shopping, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking a Senior Lead Software Engineer who is passionate about marrying data with emerging technologies. As a full stack engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One Shopping. Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Senior Lead Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do: - Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company - Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code - Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment - Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services Basic Qualifications: - Bachelor's Degree - At least 6 years of experience in software engineering (Internship experience does not apply) - At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: - Master's Degree - 9+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go - 4+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service - 4+ years of experience in open source frameworks - 1+ years of people management experience - 2+ years of experience in Agile practices - Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $209,000 - $238,500 for Sr. Lead Software Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead Software Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).