Software Engineer II - Data Integration Platform (DIP) Ingestion at Abnormalsecurity

AbnormalsecurityHybrid - Bangalore, India
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About this role

<h1>Software Engineer II, Backend — DIP Ingestion</h1> <h2>About the role</h2> <p>Abnormal protects organizations from cyber threats across email, identity, collaboration, and cloud applications. The Abnormal Data Platform (ADP) provides the data foundations that power detection and customer-facing products. Within ADP, the DIP Ingestion team builds the integrations and runtime systems that bring data from these platforms into Abnormal. Reliable, timely data is the foundation for the products and detection systems our customers depend on.</p> <p>We’re looking for a Software Engineer II to build and operate backend services and ingestion pipelines at scale. You’ll own complex features from a defined product or platform need through design, implementation, launch, and production support. Your work may span new source integrations, improvements to our ingestion framework, snapshot ingestion, and the reliability and freshness of data flowing to downstream teams. You’ll have room to grow your technical judgment while working closely with experienced engineers and product partners.</p> <h2>What you’ll do</h2> <ul> <li>Build and improve secure, scalable integrations that collect data from third-party APIs and deliver it reliably to Abnormal’s downstream systems.</li> <li>Own complex, well-scoped features end to end: clarify requirements, propose an approach, break work into milestones, implement, test, roll out, and measure the outcome.</li> <li>Contribute to ingestion-platform capabilities such as reusable connector patterns, self-serve integration workflows, and snapshot and event-ingestion paths.</li> <li>Use AI-assisted tools to accelerate integration development, testing, and troubleshooting while validating their output and maintaining ownership of production quality.</li> <li>Improve ingestion freshness, correctness, and reliability by defining and tracking service-level goals, strengthening error handling and alerts, and investigating data gaps or delays.</li> <li>

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