Software Engineer, Streaming Infrastructure

Develop and operate CrowdStrike’s internal cloud management platform and mission-critical CI/CD pipelines. Build APIs and UIs using Go and TypeScript, improve developer productivity, integrate tooling, maintain cloud-native infrastructure, and support secure, highly available software delivery systems. Collaborate with development, infrastructure, security, and SRE teams, ensure SOC2-aware processes, and participate in on-call operations. Top Skills: AlertmanagerArgo CdArgo WorkflowsCi/CdDebianDockerGoGoreleaserGrafanaHelmJavaScriptJenkinsKubernetesKustomizeLinuxPrometheusPulumiPypiTemporalTerraformTypescript PNC Bank

• 5+ years of experience building and operating large-scale backend distributed systems, such as data ingestion, streaming, CDC, storage, or data platforms.
• Hands-on experience with streaming systems like Kafka, and with how databases capture and publish changes (binlogs, Debezium, or similar).
• Ability to own and go deep in a complex codebase.
• Experience maintaining, analyzing, and debugging production systems at scale.
• Clean, readable, testable, and maintainable code.
• Strong collaboration and communication skills in a remote-working environment.
• Strong ownership and a track record of delivering on time.

Nice to Have:

• Experience building managed or multi-tenant platforms used by other engineering teams.
• Familiarity with MySQL/Aurora, schema evolution, or large-scale batch data processing.

Design, build, and operate Airbnb’s large-scale change data capture and batch export platforms. Improve reliability, performance, and efficiency across multi-tenant data infrastructure, collaborate with partner teams and internal customers, contribute to platform architecture, and participate in on-call operations. The role requires hands-on development, testing, debugging, and ownership of complex distributed systems supporting critical business functions. The summary above was generated by AI, 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-$230,000 USD, 41K-83K Annually Mid level 41K-83K Annually Mid level Machine Learning * Payments * Security * Software * Financial Services Provides high-volume technical support through phone, ticketing, and chat channels. Troubleshoots hardware, software, network, access, and application issues; manages incidents in ServiceNow; handles escalations; and communicates solutions to nontechnical users. Guides junior analysts, supports knowledge management and training, analyzes trends, recommends process improvements, and contributes to IT service efficiency and compliance. Top Skills: ItilItsmServicenow

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

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.

Airbnb’s Data Infrastructure organization builds the systems that store, move, and transform data across the company. Our Data Movement & Transformation (DMT) group is building a single, unified platform for moving data between Airbnb’s storage systems, replacing dozens of one-off tools with one reliable, well-supported way to get data where it needs to go. This platform is the foundation for Data as a Service, a top-level infrastructure initiative at Airbnb.

The Community You Will Join:

The Ingestion team is the front door to DMT. We build and operate two managed, multi-tenant platforms that move data out of Airbnb’s online databases for offline processing:

• SpinalTap: near real-time change data capture (CDC) streaming to Kafka for every Aurora and UDS table at Airbnb.
• DBExports: periodic full-table snapshots and mutation exports.

Teams across Airbnb depend on these systems, including payments, fraud detection, financial reporting, search, messaging, notifications, and machine learning. Reliability, performance, and scale are the product. You’ll work closely with DMT’s other teams, which own real-time streaming infrastructure, pipeline orchestration, and schema management, and you’ll have the chance to work across the broader platform

The Difference You Will Make:

• Be hands-on (code, design, test) and work with partner teams, internal customers, and leadership to deliver multi-month projects on time.
• Design, build, and operate large-scale CDC and batch export systems that run across every online database at Airbnb.
• Help shape the architecture of DMT’s unified data movement platform while it’s being built.
• Improve the reliability, performance, and efficiency of systems that critical business functions depend on.
• Make it easier for engineers at Airbnb to get their data into offline systems without needing to be database or pipeline experts.
• Take part in on-call and raise the operational bar for a platform that other teams build on.