Software Engineer II - Data Integration Platform (DIP) Ingestion

Bangalore · 3+ years experience · Hybrid · Posted Sep 28, 2026

At a glance

The DIP Ingestion team builds the integrations and runtime systems that bring data from various platforms into the Abnormal Data Platform.
The role involves building and operating backend services and ingestion pipelines at scale, owning features from design through production support.

Build and improve secure, scalable integrations that collect data from third-party APIs.
Own complex, well-scoped features end to end from requirements to launch.
Contribute to ingestion-platform capabilities like reusable connector patterns and self-serve workflows.
Use AI-assisted tools to accelerate development while maintaining ownership of production quality.
Improve ingestion freshness, correctness, and reliability by defining service-level goals.
Diagnose issues across vendor APIs, ingestion services, and downstream interfaces.
Participate in 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 systems.

3+ years of software engineering experience, including hands-on development of production backend services in Python.
Experience owning the delivery of complex features from technical approach to launch.
Strong fundamentals in backend design, APIs, data modeling, testing, debugging, and performance.
Experience operating services in production using logs, metrics, and alerts.
Familiarity with cloud services and deployment practices, ideally AWS.
Clear written communication and ability to clarify ambiguous requirements.
Care for correctness, code quality, and customer impact of data reliability.

Experience with Go, Kafka or another messaging system, and distributed data pipelines.
Experience integrating with third-party SaaS APIs including authentication, pagination, and rate limits.
Familiarity with Docker or other container technologies.
Familiarity with SQL databases.
Experience with batch or snapshot ingestion.
Experience with workflow orchestration or configuration-driven integration frameworks.