Senior Software Engineer

As a Senior Software Engineer, you will be responsible for designing and building core backend services and product capabilities, working on scalable systems that handle large volumes of security-related data, and developing robust features that improve security posture in cloud environments.

The ideal candidate will have strong software engineering foundations, a product-minded approach, and experience building distributed systems in production.

You will collaborate closely with Product, Research, and Engineering teams to deliver secure, performant, and reliable solutions end-to-end.

You will work within the engineering department, contributing to architecture decisions, improving code quality, scalability, and reliability, while maintaining strong ownership over development and delivery in a fast-paced environment.

Responsibilities

Design, develop, and maintain high-scale backend services and APIs.

Build features that identify and prevent cloud misconfigurations and security risks.

Write clean, maintainable, and testable code with high engineering standards.

Participate in system design and architecture discussions (scalability, reliability, performance).

Collaborate with Product, Research, and other engineering teams to define and implement end-to-end solutions.

Optimize performance and improve system reliability, monitoring, and observability.

Take ownership over services in production, including troubleshooting and incident resolution.

Contribute to engineering best practices: code reviews, technical documentation, CI/CD improvements.

Support and mentor other engineers, helping grow the team’s technical excellence.

Requirements

5+ years of experience as a Software Engineer, building production-grade systems.

Strong experience with backend development and building scalable services.

Proficiency in one or more modern programming languages such as Go / Python / Java / Node.js - Go adds more points, but all accepted.

Experience designing and working with distributed systems, microservices, and event-driven architectures.

Strong understanding of data structures, system design, and engineering fundamentals.

Experience working with databases (SQL) and designing data models.

Familiarity with cloud environments (AWS preferred, GCP or Azure also relevant).

Experience with Docker and Kubernetes — advantage.

Strong troubleshooting skills, ownership mindset, and ability to work independently.

Excellent communication skills and a collaborative, “can-do” approach.

Experience working in a fast-paced startup environment — advantage.

Background or interest in security / cloud security — strong advantage.