Software Engineer, AI Security

Job not on LinkedIn

November 18

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

💵 $230k - $255k / year

⏰ Full Time

🟠 Senior

🔴 Lead

👮‍♂️ Cybersecurity / Security Engineer

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Saviynt

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SaaS • Cybersecurity • Enterprise

Saviynt is a leading provider of cloud-based identity and access management (IAM) solutions. Their platform, known as the Identity Cloud, offers comprehensive identity governance, administration, and application access governance. Saviynt's solutions focus on secure identity management, ensuring compliance, modernizing legacy systems, and supporting multi-cloud environments. They serve a wide range of industries including healthcare, financial services, and government sectors. Leveraging AI/ML, Saviynt provides in-depth insights and analytics for enhanced identity security. They are recognized for their robust capabilities in identity governance and administration, helping organizations to efficiently manage and protect employee, contractor, partner, and machine identities.

501 - 1000 employees

Founded 2010

☁️ SaaS

🔒 Cybersecurity

🏢 Enterprise

💰 $130M Private Equity Round on 2021-09

📋 Description

• Design, implement, test and release e2e workflows for our AI security product. • Work across multiple agent platforms like AWS Bedrock, Google AgentSpace, Salesforce AgentForce, building foundational solutions, using cloud, SAAS and AI design patterns and technologies. • Use AI and Agents to secure AI, using CUA agents, various LLM’s, agentic frameworks like ADK, Langchain among others. • Design and develop secure, scalable, multi-tenant software solutions that run seamlessly across major cloud platforms like AWS and Azure. • Act as a technical expert and thought leader, influencing product direction and engineering best practices. • Drive continuous improvement in engineering processes, tooling, and operational reliability. • Collaborate with internal teams to produce software design and architecture • Test and deploy applications and systems. • Revise, update, refactor and debug code. • Ability to start a program from scratch as well as maintain existing services. • Develop documentation throughout the software development life cycle. • Serve as an expert on applications and provide technical support.

🎯 Requirements

• 10+ years of software engineering experience • Expert-level ability utilizing technologies such as Java, Spring Framework, REST and Microservices • Familiar with AI tools and curious about MCP, A2A, Agentic frameworks. Have a continuous learning mindset and not hesitate to venture into unchartered territory • Ability to perform research and go deep into platforms is a strong plus • Strong Experience as a Java Engineer developing applications based on Security principles, cloud platforms (AWS, Azure, or Google Cloud) and Containerization (Docker, Kubernetes) • Deep understanding of data structures, algorithms, and design patterns • Hands on experience with SQL, ElasticSearch, Redis, CI/CD, AWS Glue, Kafka • Experience in increasing levels of responsibility managing application development, solution architecture, design and delivery, and process improvement • Experience with unit, functional and system integration testing • Extensive understanding of working in an agile environment utilizing Scrum and Kanban • Experience with Git (GitHub/GitLab), automatic deployments, continuous integration • Hands on experience using IntelliJ or Eclipse/My Eclipse IDE, writing Junit test cases, working with Maven/Ant • Experience with AI development tools in SDLC such as Amazon Q, Github Copilot, Cursor, and similar productivity assistants • Familiarity with various architectural patterns (e.g., event-driven, microservices, serverless) and their trade-offs