Software Engineers, AI Security at Saviynt

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Cybersecurity, AI, Identity Management, Cloud ComputingIndustries

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; continuous learning mindset
Ability to perform research and go deep into platforms (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

Responsibilities

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

Skills

Key technologies and capabilities for this role

JavaAWSAzureAWS BedrockGoogle AgentSpaceSalesforce AgentForceLLMLangchainADKCUA agentsagentic frameworksmulti-tenantcloudSaaSAI design patterns

Questions & Answers

Common questions about this position

What experience level is required for this Software Engineer role?

The role requires 10+ years of software engineering experience.

What are the key technical skills needed for this position?

Expert-level ability in Java, Spring Framework, REST, and Microservices is required, along with strong experience in security principles, cloud platforms like AWS and Azure, containerization with Docker and Kubernetes, data structures, algorithms, design patterns, SQL, ElasticSearch, Redis, CI/CD, and Kafka.

Is familiarity with AI technologies required?

Familiarity with AI tools and curiosity about MCP, A2A, and Agentic frameworks is required, along with a continuous learning mindset.

What is the employment type for this role?

This is a full-time position.

What makes a strong candidate for this AI Security Engineer role?

Strong candidates have 10+ years of experience, expert Java skills with Spring, REST, microservices, security, cloud platforms, containerization, and a mindset for continuous learning in AI and agentic frameworks, plus experience in agile environments with Scrum and Kanban.

Saviynt

Cloud-based identity security and access governance

About Saviynt

Saviynt provides a cloud-based platform focused on identity security and access governance for businesses. Its services include identity governance and administration, third-party access governance, and cloud privileged access management, all aimed at helping organizations manage and secure digital identities, including those of employees and vendors. The platform features automated workflows and tools that simplify identity lifecycle management, while offering visibility and analytics to help businesses stay audit-ready and reduce identity-related risks. Unlike many competitors, Saviynt emphasizes user-friendliness and ease of implementation, making it accessible for a wide range of clients from small businesses to large enterprises. The company's goal is to protect major brands and support their cloud and security initiatives through a subscription-based model that ensures ongoing revenue and investment in product development.

El Segundo, CaliforniaHeadquarters

2010Year Founded

$165.4MTotal Funding

DEBTCompany Stage

Enterprise Software, CybersecurityIndustries

1,001-5,000Employees

Benefits

Remote Work Options

Flexible Work Hours

Risks

Emerging identity security startups pose a threat to Saviynt's market share.

Rapid AI advancements may outpace Saviynt's current technological capabilities.

Data privacy and regulatory challenges could hinder global service expansion.

Differentiation

Saviynt offers a unified platform for cloud, enterprise, and big data security.

The AI-powered Intelligence Suite enhances decision-making in identity and access management.

Saviynt's user-friendly platform simplifies identity lifecycle management with automated workflows.

Upsides

Saviynt's recognition as a 2024 Gartner Customers' Choice highlights strong customer satisfaction.

Partnership with SPG expands cybersecurity capabilities and market reach.

Hiring industry experts strengthens Saviynt's leadership and product marketing efforts.

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