Senior Go Backend Engineer — Data Abstraction

OpenKrill; United States; Remote; USD 140,000 - 170,000; Full time

Benefits offered by this job

Remote work

Bonus potential up to 20%

Job summary

Kunai is hiring a Senior Backend Engineer to design Go-based services that transform data from our core banking system into a consistent model for downstream apps. You’ll build the integration layer in front of the core and define abstraction points for safe data access.

You will collaborate with data engineers and other teams to choose between batch, event-driven, or real-time APIs, ensuring data integrity and controlled access while aligning with our fintech-focused, human-centered approach.

Qualifications

• 5+ years backend engineering with Go as primary language.
• Experience building integration or platform layers between legacy and modern apps.
• Familiarity with transactional systems and payments is a plus.
• Experience provisioning cloud services in AWS or other providers.

Responsibilities

• Design and build Go services that transform data from the core banking system into a consistent model.
• Partner with engineers to define clean extraction points from the core and appropriate abstractions.
• Build and maintain the access layer (APIs/event streams) for downstream consumption.
• Enforce data integrity, access boundaries, and schema versioning.
• Integrate with existing APIs and determine data product delivery via batch, event-driven, or real-time APIs.
• Collaborate with data engineers to make new data products viewable/downstream-ready.

Skills

Go (backend)

Data integration

API design

Cloud services

Education

Bachelor’s Degree

Tools

Kafka

CDC pipelines

AWS

Job description

Kunai is hiring a Senior Backend Engineer to design Go-based services that transform data from our core banking system into a consistent model for downstream apps. You’ll build the integration layer in front of the core and define abstraction points for safe data access.

You will collaborate with data engineers and other teams to choose between batch, event-driven, or real-time APIs, ensuring data integrity and controlled access while aligning with our fintech-focused, human-centered approach.