Abnormal-posted 5 days ago
$209,800 - $246,800/Yr
Full-time • Senior

Enterprises of all sizes trust Abnormal Security’s cloud products to stop cybercrime—and those products depend on data: reliable, scalable, and secure access to it. The Data Platform team builds and operates the core storage, streaming, and processing systems that power Abnormal’s AI-driven detection and prevention. Our mission is to provide robust, self-service data platforms that enable engineering and data science teams to innovate quickly, confidently, and at scale. We’re looking for a Staff Software Engineer to drive the next generation of Abnormal’s data platform. In this role, you’ll set technical direction, lead ambitious cross-team initiatives, and mentor engineers while shaping how data flows and scales across our systems. Staff Engineers are expected to be technical leaders at Abnormal. The ideal candidate tackles complex, ambiguous problems and turns them into actionable plans, leads by example and dives deep when needed, embodies our VOICE values and builds platforms as product offerings that delight users, and earns trust with our stakeholders across Engineering, Data Science, Analytics and Product through thoughtful collaboration.

  • Define and drive the architecture and roadmap for Abnormal’s Data Platform, spanning storage, streaming, batch processing, and data infrastructure.
  • Partner with engineers and data scientists to make pragmatic trade-offs, enabling a platform-first operating model and self-service data capabilities.
  • Lead high-leverage technical initiatives such as scaling data systems across tenants and regions, improving resilience, and evolving our next-gen storage layer.
  • Act as the technical lead for the team: shape quarterly plans, de-risk delivery, mentor engineers, and land impactful cross-org initiatives.
  • Champion operational excellence across SLOs, availability, performance, incident response, and cost efficiency.
  • Advocate for platform-as-a-product practices: crisp APIs, clear SLAs/SLOs, great docs, telemetry by default, and paved paths for developers.
  • Guide Abnormal’s AI-native data workflows: data pipelines, feature storage, offline/online consistency, model evaluation, and data governance.
  • Proven experience building and scaling data-intensive, distributed systems in high-growth environments.
  • 5+ years as a Senior+/Staff engineer building data platforms, infrastructure, or tools that materially increase engineering velocity and reliability.
  • Depth in at least two of the following: Streaming systems (e.g., Kafka, Kinesis, SQS), Batch processing systems (e.g., Spark, Databricks, Airflow, DBT), Storage systems (e.g., PostgreSQL, MySQL, DynamoDB, RocksDB, Redis, OpenSearch, S3).
  • Hands-on with our stack (or equivalent): Python, Golang, AWS, Databricks, Spark, Airflow, Kafka, Redis, RocksDB, PostgreSQL, Elasticsearch, Terraform, Kubernetes, etc.
  • Strong fundamentals in distributed systems, observability, and reliability engineering (SLOs, incident management, capacity planning).
  • A strong track record as a change agent, reshaping data platform strategy and delivering impactful, self-service offerings.
  • Excellent ability and strong desire to onboard and mentor other engineers.
  • Experience with multi-tenant, multi-region or regulated platforms, including isolation, data governance, and guardrails.
  • Prior leadership of cross-org migrations (e.g., to event-driven architectures or unified data platforms).
  • Base salary range: $209,800—$246,800 USD
  • Bonus eligibility
  • Restricted stock units (RSUs)
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