Senior Software Engineer - Data Team

Brinqa

17h

About The Position

Brinqa is the leading provider of unified cyber risk management and security analytics. Our software empowers companies to make cyber risk decisions across a wide range of platforms quickly and efficiently. We help our customers’ cyber security and technology teams discover, prioritize and treat the most important risks based on real-time risk analytics, automated risk assessments, and remediation. With actionable insights and timely communications provided by our software, our customers are reducing their response times to the constantly changing and emerging threats and saving their business from potential negative and significant impacts. We’re looking for a Senior Software Engineer to join our Data Team—the group responsible for building the systems that power Brinqa’s core platform. You’ll work on high-scale data systems that ingest, transform, and serve massive volumes of security and IT data. This is a hands-on role where you’ll own meaningful parts of the system, contribute to architecture decisions, and ship production-grade code that directly impacts enterprise customers. If you enjoy solving complex data problems, working across the stack, and building systems that operate at scale, this role is for you.

Requirements

4–6 years of software engineering experience
Experience building data-intensive or enterprise SaaS systems
Strong proficiency in one or more: Java, Python, TypeScript
Experience working with cloud platforms (GCP preferred; AWS/Azure a plus)
Ability to work across the stack and adapt as needed
Strong communication and collaboration skills

Nice To Haves

Experience with data pipelines, ingestion systems, or analytics platforms
Familiarity with distributed databases (e.g., Postgres, Yugabyte)
Experience with streaming or event-driven architectures
Exposure to multi-cloud environments
Experience using AI tools in development workflows

Responsibilities

Build and evolve high-throughput data pipelines (real-time and batch)
Design systems for large-scale ingestion, transformation, and enrichment
Develop APIs that expose data for advanced analytics and product features
Contribute to distributed storage and compute architecture
Ensure systems are scalable, reliable, and performant at enterprise scale
End-to-end delivery of features within the data platform
Technical design decisions and trade-offs across data, compute, and storage layers
Writing clean, testable, production-quality code
Driving improvements in performance, scalability, and system reliability
Collaborate closely with principal engineers and engineering leadership
Participate in design discussions and influence technical direction
Support and mentor other engineers through code reviews and knowledge sharing
Contribute to engineering standards, documentation, and best practices
Use AI tools to accelerate development and problem-solving
Contribute to evolving best practices around AI-assisted workflows
Balance speed with quality through thoughtful application of these tools