GenAI Backend Software Engineer

PROTEGRITY USA, INC.
Menlo Park, CA, United States
about 1 month ago
Apply on www.careerbuilder.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services User Authentication Microsoft Azure Cloud Computing Configuration Management Cyber Security Continuous Delivery Continuous Integration Data Security Software Debugging
+23 more
DevOps Distributed Systems Revision Control Systems Identity and Access Management Python (Programming Language) Language Modeling OAuth Open Source Technology Cloud Services Server Administration Single Sign-On Software Engineering Systems Integration Privacy Controls Google Cloud Cloud Platform System Large Language Models Prompt Engineering Generative AI Backend Kubernetes Docker Microservices

Job description

This role offers the opportunity to 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 Do

  • Develop, test, and maintain robust container based microservice API architectures on Kubernetes clusters.
  • Design and develop high-quality, scalable software products supporting our customer’s security, safety, and privacy of GenAI and LLM-based systems with advanced guardrail capabilities.
  • Integrate GenAI systems including LLM, VectorDB, RAG pipelines, agents, and guardrails into the delivery of our product features.
  • Develop state of the art guardrails and systems leveraging agent workflows and tooling to support safety and security of GenAI.
  • Monitor, debug, and troubleshoot production issues.
  • Collaborate 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.
  • Evaluate and integrate open-source tools and third-party platforms to accelerate product development.

Requirements

We are seeking a senior software engineer with experience in backend API development, Kubernetes-based microservices, Generative AI (GenAI) and Large Language Models (LLMs), along with a strong commitment to data security, privacy, and safety., * 10+ years of experience in backend software engineering with strong expertise in GenAI and LLM, and a focus on scaling of GenAI solutions.

  • Expertise developing and maintaining GenAI workflows including RAG workflows and prompt engineering techniques.
  • Experience developing and scaling cloud solutions using APIs, containers and microservice architectures with Kubernetes, Docker, Helm, etc.
  • Experience with integrating software products using authentication and authorization including cloud IAM, SSO, JWT, oAuth, etc.
  • Strong skills in Python with experience in cloud environments (e.g., AWS, Google Cloud, Azure).
  • Familiarity with version control tools, CI/CD pipelines and DevOps practices.
  • Demonstrated ability to build and manage complex, distributed systems supporting enterprise solutions.

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., Application Programming Interface (API), Artificial Intelligence (AI), Authentication Software, Cloud Computing, Continuous Deployment/Delivery, Continuous Integration, Cryptography, Customer Support/Service, Debugging Skills, DevOps, Distributed Computing, Docker, Identify Issues, Information/Data Security (InfoSec), Machine Tool, Microservices, Modeling Languages, OAuth, Open Source, Privacy Controls, Product Development, Product Support, Single Sign-On (SSO), Software Administration, Software Engineering, Source Code/Configuration Management (SCM), System Integration (SI), Systems Administration/Management, Test Plan/Schedule

Benefits & conditions

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.

About the company

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerbuilder.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:47 min

Specialized internal platforms for generative AI and data

Bastian Heilemann Bastian Heilemann +1 · World Congress 2025

2:49 min

Adopting OAuth best practices and removing outdated grants

Alexander Schwartz Alexander Schwartz · World Congress 2026 Europe

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · World Congress 2025

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · World Congress 2026 Europe

2:08 min

Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

1:34 min

Analyzing vulnerabilities in standard OAuth 2.0 authorization flows

Alexander Schwartz Alexander Schwartz · World Congress 2026 Europe

Videos

See all

Related articles

See all