Sr.Manager, Software Engineering

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 www.saviynt.com.
WHAT YOU WILL BE DOING ?
Own and lead the team which will Design, implement, test and release e2e workflows for our security posture product
Use AI and Agents to build & migrate Connectors for Enterprise Apps,seamless to the customers
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
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 and customer support
Saviynt is an amazing place to work. We are a high-growth, Platform as a Service company focused on Identity Authority to power and protect the world at work. You will experience tremendous growth and learning opportunities through challenging yet rewarding work which directly impacts our customers, all within a welcoming and positive work environment. If you're resilient and enjoy working in a dynamic environment you belong with us!
Security & Compliance
This role requires adherence to Saviynt’s information security and privacy policies and procedures, including annual security training.
Saviynt is an equal opportunity employer and we welcome everyone to our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
WHAT YOU BRING
15 + years of software engineering experience with 5+ years of experience in a manager role.
Expert-level ability utilizing technologies such as Java, Spring Framework,
REST and Microservices
Familiar with AI tools and curious about building with AI
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
Excellent communication skills and the ability to effectively interact with other teams across the organization
Ability to work effectively and achieve results across functional areas in a work environment with a high rate of change
Ability to manage multiple teams and initiatives providing a consistent record of all activities while handling confidential work with discretion
Extensive hands-on experience building and managing the development of complex, large scale enterprise applications and products with resilience and reliability
Proven experience in team management, attracting, hiring, retaining and
leading top engineering talent and high-performance product engineering teams
Strong written, verbal communications, presentation skills, leadership, problem solving and analytical skills
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

Work arrangement
Hybrid