Senior Software Engineer at OIF Ventures
Auckland City, Auckland, New Zealand -
Full Time


Start Date

Immediate

Expiry Date

20 Nov, 25

Salary

0.0

Posted On

21 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

WHO WE ARE

At DataMasque, we’re on a mission to protect the world’s most sensitive data. Our platform enables enterprises to mask, anonymise, and secure billions of records across healthcare, financial services, and other highly regulated industries.
We’re tackling one of the hardest problems in data security: ensuring organisations can use and share data safely while meeting stringent compliance requirements. From financial giants to healthcare providers, customers trust DataMasque to keep their data private, secure, and compliant.
This is your chance to work on software that directly impacts data privacy at global scale - and solve novel technical challenges along the way.

THE DIFFERENCE YOU’LL MAKE

We’re looking for a Senior Software Engineer to join our core engineering team. This is a hands-on role building our enterprise data masking and privacy protection platform, where you’ll work on high-performance Python applications that transform sensitive data across a wide range of enterprise database systems.
You’ll face unique challenges in data privacy, security, and performance optimisation - and your work will have a direct impact on the safety of data for enterprises worldwide.

WHAT’S NEXT?

If this sounds like the kind of challenge you’ve been looking for, we’d love to hear from you.
Apply now!
If you’d like further details about the role, please reach out directly to Pam Stevenson: pamela@oifvc.com
At DataMasque, your work won’t just be “another engineering role” - it will directly shape how the world’s biggest organisations protect their most sensitive data. Join us and help define the future of data privacy on a truly global scal

How To Apply:

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Responsibilities
  • Develop and maintain our Python-based data masking engine for discovery and transformation
  • Build deep database integrations across Oracle, SQL Server, PostgreSQL, MySQL, Snowflake, and DynamoDB
  • Optimise performance at enterprise scale, handling billions of records
  • Work with distributed systems using Celery and Redis
  • Collaborate with the team on Rust-based performance components
  • Write robust, type-safe, and well-tested code with MyPy, Ruff, and pytest
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