Associate Principal Software Engineer, AI Onboarding

Saviynt Inc.
San Francisco, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 225K

Job location

San Francisco, United States of America

Tech stack

Java
Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Architectural Patterns
Azure
Software as a Service
Cloud Computing
Continuous Integration
Data Structures
Cursor (Graphical User Interface Elements)
Software Debugging
Software Design Patterns
Eclipse
Elasticsearch
Github
IntelliJ
Spring
JUnit
Maven
Software Architecture
Systems Development Life Cycle
Redis
Salesforce
Software Deployment
Software Engineering
Software Systems
SQL Databases
Integration Testing
Google Cloud Platform
GitHub Copilot
Large Language Models
Software Application Programming
Gitlab
GIT
Containerization
Kubernetes
Information Technology
Amazon Web Services (AWS)
Kafka
SailPoint
REST
Code Restructuring
Serverless Computing
Docker
Microservices

Job description

In a world of digital transformation, where organizations are faced with increasing cyber risk but cannot afford defensive measures to slow down progress, Saviynt's Enterprise Identity Cloud gives customers unparalleled visibility, control and intelligence to better defend against threats while empowering users with right-time, right-level access to the digital technologies and tools they need to do their bestwork. WHAT YOU WILL BE DOING 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 Follow the true agile principles

Requirements

7+ 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

About the company

Saviynt is an identity platform built to power and protect the world at work. With the rise of AI and Agents, the identity perimeter needs to be secured at scale. Come join as founding members of Saviynt's AI Security team and enable us to build out AI security for the world's leading enterprises., © 2026 Careerjet All rights reserved

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