Description
Abnormal protects organisations 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.
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.
Responsibilities
- Build and improve secure, scalable integrations that collect data from third-party APIs and deliver it reliably to Abnormal's downstream systems.
- 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.
- Contribute to ingestion-platform capabilities such as reusable connector patterns, self-serve integration workflows, and snapshot and event-ingestion paths.
- Use AI-assisted tools to accelerate integration development, testing, and troubleshooting while validating their output and maintaining ownership of production quality.
- Improve ingestion freshness, correctness, and reliability by defining and tracking service-level goals, strengthening error handling and alerts, and investigating data gaps or delays.
- Diagnose issues across vendor APIs, ingestion services, and downstream interfaces; participate in the team's on-call rotation and turn recurring failures into durable fixes.
- Collaborate asynchronously with engineers and partners across product and platform teams. Participate in design discussions and code reviews, and document the systems you change.
Requirements
- 3+ years of software engineering experience, including hands-on development of production backend services in Python.
- Experience owning the delivery of complex features: turning a clearly defined problem into a technical approach, implementation, and successful launch.
- Strong fundamentals in backend design, APIs, data modelling, testing, debugging, and performance.
- Experience operating services in production and using logs, metrics, and alerts to investigate and resolve issues.
- Familiarity with cloud services and deployment practices, ideally AWS.
- Clear written communication and the ability to clarify ambiguous requirements with teammates and stakeholders across functions and time zones.
- Care for correctness, code quality, and the customer impact of data reliability.
Nice to Have
- Experience with Go, Kafka or another messaging system, and distributed data pipelines.
- Experience integrating with third-party SaaS APIs, including authentication, pagination, rate limits, and inconsistent source data.
- Familiarity with Docker or other container technologies and SQL databases.
- Experience with batch or snapshot ingestion, workflow orchestration, or configuration-driven integration frameworks.