Original listing text, shown exactly as published by the company.
Responsibilities
- Design, build, and own the backend services and distributed systems behind our data discovery platform.
- Lead the architecture of complex, high-scale systems, balancing performance, reliability, and maintainability.
- Keep systems fast and reliable as data volumes and traffic grow.
- Develop and operate cost-efficient services on major cloud platforms.
- Write clean, production-grade code that sets a strong example for the team.
- Build software that is testable by design, with strong automated coverage as part of normal delivery.
- Drive the reliability and observability of the services you run.
- Investigate and resolve difficult issues across services and environments, getting to the root cause.
- Apply GenAI and AI-assisted techniques both to build new product features and to speed up your own engineering workflow.
- Partner with engineers and other teams on design and architecture decisions, raising the technical bar across the organization.
- Mentor senior and mid-level engineers and help strengthen the team’s technical depth.
Qualifications
- 8+ years of professional software engineering experience building and operating production backend and distributed systems.
- Strong programming skills (Python preferred) with a track record of shipping high-quality software as a core developer.
- Deep experience designing and scaling distributed systems and APIs, with sound judgment on architecture and engineering trade-offs.
- Demonstrated skill in designing for performance and scalability in high-throughput, data-intensive systems.
- Experience contributing to strong quality practices, including effective testing, test automation, and collaboration with QA or release processes to help ensure reliable software delivery.
- A habit of building testing and automation into your work from the start.
- Solid understanding of CI/CD pipelines and the practices behind continuous, confident delivery.
- Hands-on experience with Docker, Kubernetes, and Helm.
- Experience running services in a major cloud environment (AWS, GCP, or Azure).
- Comfortable debugging and troubleshooting complex multi-service systems in production.
- Strong grasp of engineering best practices, system design, and reliability at scale.
- Ability to work cross-functionally and influence technical direction across teams.
Nice to have
- Background in data protection, privacy, or security domains.
- Experience building or integrating GenAI or LLM-powered functionality in production.
- Familiarity with observability, monitoring, and load testing of large-scale systems.
- Exposure to AI-assisted or agentic workflows for engineering productivity.
We offer a competitive salary and comprehensive benefits with generous vacation and holiday time off. All employees are also provided access to ongoing learning & development.
Ensuring a diverse and inclusive workplace is our priority. We are committed to an environment of acceptance where you are free to bring your full self to work. All qualified applicants and current employees will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability or veteran status.
Please reference Section 12: Supplemental Notice for Job Applicants in our Privacy Policy to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Protegrity USA, Inc., or its parent company, subsidiaries or affiliates, and the purposes for which we use such personal information.
