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S Principal Site Reliability Engineer, Google Cloud Saviynt

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: Artha Nexgen
Full Time position
Listed on 2026-08-28
Job specializations:
  • Software Development
    Cloud Engineer - Software, AI Engineer (Applied/Software), DevOps, Software Engineer
Salary/Wage Range or Industry Benchmark: 240000 - 250000 USD Yearly USD 240000.00 250000.00 YEAR
Job Description & How to Apply Below
Position: S Principal Site Reliability Engineer, Google Cloud Saviynt US $240K-250K

Principal Software Engineer, Cloud Architecture

Milpitas, California, US

Other $240K-250K

About the Job

Job Description

Job Description

Saviynt's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes. Customers trust Saviynt to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age, Saviynt is today helping organizations safely accelerate their deployment and usage of AI. Saviynt is recognized as the leader in identity security, with solutions that protect and empower the world’s leading brands, Fortune 500 companies and government institutions.

For more information, please visit

PRINCIPAL SOFTWARE ENGINEER

Saviynt is an identity platform built to power and protect the world h the rise of AI and Agents, the identity perimeter needs to be secured e join as founding members of Saviynt’s AI Security team and enable us to build out AI security for the world's leading enterprises.

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 best work.

WHAT YOU'LL BE DOING
  • Design, implement, test and release e2e workflows for our AI security product

  • Work across multiple agent platforms like AWS Bedrock, Google Agent Space , Salesforce Agent Force , 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

WHAT YOU BRING
  • 1+ year of experience as a Principal Software Engineer at a SaaS company.

  • 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, Elastic Search, 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 (Git Hub/Git Lab), 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

If required for this role, you will:

- Complete security & privacy literacy and awareness training during onboarding and annually thereafter

- Review (initially and annually thereafter), understand, and adhere to Information Security/Privacy Policies and Procedures such as (but not limited to):

>
Data Classification, Retention & Handling Policy

>
Incident Response Policy/Procedures

>
Business Continuity/Disaster Recovery Policy/Procedures

>
Mobile Device Policy

>

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