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Open nowPosted 4 days agoWe saw it 119 min after it went up

Software Engineer II - Data Integration Platform (DIP) Ingestion

Abnormal Security79 open roles

Where
Hybrid - Bangalore, India
Work mode
Hybrid
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Your applicationOpen nowSoftware Engineer II - Data Integration Platform (DIP) IngestionAbnormal Security · Hybrid - Bangalore, India

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The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market. Abnormal Security postings stay open a median of 25 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 4 days ago

Abnormal Security median: 25 days open

The posting

Software Engineer II, Backend — DIP Ingestion

About the role

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.

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.

What you’ll do

  • 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.

What we’re looking for

  • 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 modeling, 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.

#LI-FS1

A note on AI in our process: Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore.They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards.

Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.

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