Senior GenAI Backend Software Engineer (773)

At Protegrity, we lead innovation by using AI and quantum-resistant cryptography to transform data protection across cloud-native, hybrid, on-premises, and open source environments. We leverage advanced cryptographic methods such as tokenization, format-preserving encryption, and quantum-resilient techniques to protect sensitive data. As a global leader in data security, our mission is to ensure that data isn’t just valuable but also usable, trusted, and safe.Protegrity offers the opportunity to work at the intersection of innovation and collaboration, with the ability to make a meaningful impact on the industry while working alongside some of the brightest minds. Together, we are redefining how the world safeguards data, enabling organizations to thrive in a GenAI era where data is the ultimate currency. If you're ready to shape the future of data security, Protegrity is the place for you.Role OverviewWe are seeking a senior software engineer with experience in backend API development, deployment on Kubernetes, familiarity with Generative AI (GenAI) application backend engineering.This role offers the opportunity to be hands-on and build enterprise-grade capabilities that enable the safe, secure, and private consumption of GenAI by customers, as Protegrity accelerates its AI-driven strategy at a pivotal moment in the market. What You’ll DoDevelop, test, and maintain Python based backend applications running on KubernetesIntegrate GenAI systems including LLM, VectorDB, RAG pipelines, agents, and guardrails into our product features.Support GenAI team's platform infrastructure for experimentation and evaluationsCollaborate closely with other software engineers, product teams, AI researchers, and security specialists to deliver enterprise-grade software products and features for safe, secure, and private consumption of GenAI.What You’ll Need7+ years of experience in backend software engineering with experience productionizing agentic harnessesExperience building and shipping customer-facing Kubernetes-based software platforms, including Helm charts, infrastructure automation, and deployment tooling.Expertise developing REST APIs across services in Kubernetes Familiarity with version control tools, CI/CD pipelines and DevOps practices.Experience integrating and managing LLMs and prompt tracing platformsExperience integrating databases into backend systems, including vector databases Experience with integrating software products using authentication and authorization including cloud IAM, SSO, JWT, oAuth, etc.Strong skills cloud environments (e.g., AWS, Google Cloud, Azure).Should you accept this position, you will be required to consent to and successfully complete a background investigation. This may include, subject to local laws, verification of extended education and additional criminal and civil checks.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.Compensation Range: $209.1K - $234.1KLocationMenlo Park; San FranciscoEmployment TypeFull timeLocation TypeHybridDepartmentProductProduct InnovationCompensation$209.1K – $234.1K • Offers Equity • Offers Bonus • The base pay range for this position in CA is $209,100.00 - $234,100.00. This range reflects the minimum and maximum base salary for this position. The individual compensation may be dependent on a variety of factors, such as geographic location, level, job-related knowledge, skills, and experience, and performance.