Software Engineer, AI Security

🕒 Novembro 18, 2025

🏄 California – Remoto

🏄 California – Remote

💵 $230.000 - $255.000 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

👮‍♂️ Cibersegurança / Engenheiro de Segurança

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Saviynt

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2010

☁️ SaaS

🔒 Cibersegurança

🏢 Corporativo

💰 $130.000.000 Private Equity Round em 2021-09

SaaS • Cybersecurity • Enterprise

A Saviynt é uma provedora líder de soluções de gestão de identidades e acessos (IAM) baseadas em nuvem. Sua plataforma, conhecida como Identity Cloud, oferece governança abrangente de identidades, administração e governança de acesso a aplicativos. As soluções da Saviynt são focadas na gestão segura de identidades, garantindo conformidade, modernizando sistemas legados e dando suporte a ambientes multi-nuvem. Eles atendem a uma ampla gama de indústrias, incluindo saúde, serviços financeiros e setores governamentais. Alavancando IA/ML, a Saviynt oferece insights e análises aprofundadas para maior segurança de identidade. Eles são reconhecidos por suas robustas capacidades em governança e administração de identidades, ajudando organizações a gerenciar e proteger de forma eficiente identidades de empregados, contratados, parceiros e máquinas.

Descrição

• 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.

🎯 Requisitos

• 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