Sr.Manager, Software Engineering

Saviynt; Bengaluru; On-site; INR 3,500,000 - 6,500,000; Full time

Job summary

Saviynt in Bengaluru, India seeks a Senior Engineering Manager to lead design, implementation and release of end-to-end security workflows. You will guide AI-enabled connectors for enterprise apps, and shape scalable, multi-tenant cloud solutions across AWS and Azure.

The role requires 15+ years in software engineering with 5+ years in management, deep Java expertise, and a strong track record in delivering enterprise-grade systems with high reliability.

Qualifications

• 15+ years of software engineering experience with 5+ years in a managerial role
• Expert-level in Java, Spring, REST and Microservices
• Familiar with AI tools and building with AI
• Strong communication and cross-team collaboration
• Experience designing secure, scalable, multi-tenant enterprise apps
• Hands-on with containers and cloud platforms (Docker, Kubernetes)
• Experience with SQL, ElasticSearch, Redis, CI/CD, Kafka

Responsibilities

• Own and lead the team to design, implement, test and release end-to-end workflows
• Use AI and Agents to build and migrate connectors for Enterprise Apps
• Design and develop secure, scalable, multi-tenant cloud solutions on AWS and Azure
• Act as technical expert, influencing product direction and engineering practices
• Drive process improvements in engineering tooling and reliability
• Collaborate with internal teams on software design and architecture
• Test and deploy applications and systems
• Develop documentation throughout the SDLC
• Provide expert technical and customer support

Skills

Java

Spring Framework

REST

Microservices

AI tools

Cloud platforms

Docker

Kubernetes

Data structures

Algorithms

Design patterns

SQL

ElasticSearch

Redis

CI/CD

Kafka

Security principles

Team leadership

Engineering delivery

Tools

AWS

Azure

Google Cloud

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 www.saviynt.com .

WHAT YOU WILL BE DOING ?

• Own and lead the team which will Design, implement, test and release e2eworkflows 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 runseamlessly across major cloud platforms like AWS and Azure
• Act as a technical expert and thought leader, influencing product direction andengineering best practices
• Drive continuous improvement in engineering processes, tooling, andoperational 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

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 withother teams across the organization
• Ability to work effectively and achieve results across functional areas in awork environment with a high rate of change
• Ability to manage multiple teams and initiatives providing a consistentrecord 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 engineeringteams
• 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