Software Engineer, AI Security

🕒 il y a 6 mois

🏄 California – Distant

🏄 California – Remote

💵 $230 000 - $255 000 / an

⏰ Temps Plein

🟠 Senior

🔴 Expert

👮‍♂️ Cybersécurité / Ingénieur Sécurité

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

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Saviynt

Site WebLinkedInTous les Emplois

501 - 1000 employés

Fondée en 2010

☁️ SaaS

🔒 Cybersecurity

🏢 Entreprise

💰 €130 000 000 Private Equity Round en 2021-09

SaaS • Cybersecurity • Enterprise

Saviynt est un fournisseur leader de solutions de gestion des identités et des accès (IAM) basées sur le cloud. Leur plateforme, connue sous le nom de Identity Cloud, offre une gouvernance complète des identités, une administration et une gouvernance des accès aux applications. Les solutions de Saviynt mettent l'accent sur la gestion sécurisée des identités, garantissant la conformité, la modernisation des systèmes hérités et le support des environnements multi-clouds. Ils desservent un large éventail d'industries, notamment les soins de santé, les services financiers et le secteur public. En s'appuyant sur l'IA/ML, Saviynt fournit des analyses approfondies pour une sécurité des identités renforcée. Ils sont reconnus pour leurs capacités robustes en gouvernance et administration des identités, aidant les organisations à gérer et protéger efficacement les identités des employés, des sous-traitants, des partenaires et des machines.

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.

🎯 Exigences

• 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