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Abnormal

Software Engineer II - Data Integration Platform (DIP) Ingestion

Bengaluru · Mid Level

Good timing - competition is buildingVerified listingPosted 6d ago

Applicants who checked fit first are 3.1× more likely to hear back

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86Overall
64Skills
97Experience

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What we know about this role

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Skills required

8 listed
Runtime SystemsSource DataAutomatic Data Processing Software (ADP)Application Programming Interface (API)Python (Programming Language)Amazon Web ServicesDocker (Software)SQL (Programming Language)
Runtime SystemsSource DataAutomatic Data Processing Software (ADP)Application Programming Interface (API)Python (Programming Language)

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Job description

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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Two ways in

Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreCalculated · locked
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

No credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

Join WhatsAppJoin Telegram

No spam. Just jobs and resources.

Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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