Principal Software Engineer, Request Team

PRINCIPAL SOFTWARE ENGINEER, REQUESTS TEAM

Saviynt is an identity authority platform built to power and protect the world at work. 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 WILL BE DOING

Design and develop secure, scalable, multi-tenant software solutions that run seamlessly across major cloud platforms like AWS and Azure

Lead the design and implementation of highly complex, secure, and scalable multi-tenant architectures across cloud platforms

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

Develop state-of-the-art enterprise identity cloud solutions

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

WHAT YOU BRING

10+ years of software engineering experience

Expert-level ability utilizing technologies such as Java, Spring Framework,

REST and Microservices

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 Git (GitHub/GitLab), automatic deployments, continuous

integration

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