Senior Software Engineer

Position : Senior Software Engineer [Full Stack Senior Engineer – AI SaaS Data Protection Platform]
Experience: 3+ years
Location: Hyderabad(on-site)
Responsibilities
Extend and scale SysCloud’s AI workflow automation platform for managing backup, export, restore, and related SaaS data protection workflows.
Build and maintain React-based UI components for workflow visualization, configuration review, approval flows, operational controls, and monitoring dashboards.
Design and implement backend services and APIs that support workflow execution, configuration validation, integration management, and operational pipelines.
Work with the Data Access Layer team to model schemas for diverse SaaS application configurations, backup metadata, restore workflows, and related platform data structures.
Collaborate on extending the platform beyond backup and export workflows into restore operations, lifecycle actions, fidelity checks, and other add-on capabilities.
Integrate with third-party SaaS APIs such as Google Workspace, Microsoft 365, Salesforce, Slack, Box, and other cloud application platforms.
Partner with senior engineers to improve platform architecture, configuration standards, validation logic, reusable workflow patterns, and developer productivity.
Write clean, tested, production-grade code across the full stack.
Participate in code reviews, design discussions, troubleshooting, and production readiness reviews.
Contribute to internal documentation, including design documents, implementation notes, and operational runbooks.
Qualifications
Bachelor’s degree in Computer Science, Information Technology, or a related field.
3+ years of professional software engineering experience in a full stack role.
Required Skills
Strong proficiency in React, including hooks, state management, and component architecture.
Solid backend experience in Node.js, or PHP, or Python.
Working knowledge of relational databases, preferably PostgreSQL.
Experience with schema design, data modeling, and Data Access Layer patterns.
Ability to independently own feature slices across frontend, backend, and data layers.
Experience consuming and integrating REST or GraphQL APIs, ideally with cloud SaaS platforms such as Google Workspace, Microsoft 365, Salesforce, Box, Slack, or similar systems.
Comfortable working in cloud environments, preferably AWS.
Experience with AWS services such as Lambda, ECS/Fargate, DynamoDB, S3, and SQS is a strong plus.
Strong debugging, testing, and code review discipline.
Ability to work collaboratively in a fast-paced engineering team while extending an existing platform.
Preferred Skills
Familiarity with CI/CD pipelines, Infrastructure as Code, and containerized deployments.
Prior experience in backup, data protection, disaster recovery, SaaS administration, or cloud security domains.
Understanding of CQRS, event-driven architecture, asynchronous processing, or large-scale data modeling.
Experience working with high-volume systems involving large datasets and performance-sensitive workflows.
Experience with SCIM, SSO, Okta, or Microsoft Entra is a plus.

Work arrangement
No