Staff Software Engineer
Summary
Staff Software Engineer designing and building a cloud-native, multi-tenant SaaS platform end to end: Java/Spring Boot backend services, React/TypeScript frontends, AWS infrastructure with Docker/Kubernetes, relational and NoSQL databases, and BI/analytics pipelines, while mentoring engineers and leading architectural decisions.
Job Description Summary
Responsible for designing and programming a small module or a large component and designing a feature, set of features, or whole feature area. She/he will work independently and contribute to the immediate team and to other teams across business. She/he will Lead design discussion in a limited manner. We are seeking a Staff Software Engineer to drive the design, development, and evolution of our cloud-native, multi-tenant SaaS platform. This role combines full-stack engineering, cloud infrastructure, database expertise, and Business Intelligence (BI) capabilities. You will lead architectural decisions, mentor engineers, and deliver end-to-end, data-driven solutions across frontend, backend, cloud, and analytics platforms. You will work closely with product managers, architects, and platform teams to define and implement scalable, secure, and high-performance systems.
Job Description Responsibilities
Full-Stack Development
- Design and implement backend services using Java and Spring Boot , including RESTful APIs and microservices.
- Build modern frontend applications with React, TypeScript, and JavaScript , delivering responsive and performant UIs.
- Hands-on experience delivering end-to-end features : UI backend cloud database.
- Solid understanding of distributed systems, system design, and multi-tenant SaaS architectures .
Database
- Data Platform Design, optimize, and maintain relational (RDS, Aurora, SQL Server) and NoSQL (DynamoDB) databases .
- Build data pipelines and ETL/ELT processes , ensuring performance, scalability, and reliability.
- Experience in query optimization, datamodeling, and multi-tenant data isolation .
Business Intelligence Analytics
- Hands-on experience with WebFOCUS, Power BI, or similar BI platforms .
- Develop and integrate custom BI connectors, REST adapters, and reporting pipelines .
- Enable self-service BI and dashboards , collaborating with product and UX teams to deliver actionable insights.
Cloud Platform Engineering
- Deploy and operate applications on AWS (EKS, EC2, S3, RDS, DynamoDB, Lambda).
- Containerize applications with Docker and orchestrate with Kubernetes .
- Build and maintain CI/CD pipelines, infrastructure automation, and monitoring .
- Ensure scalability, security, reliability, and cost efficiency of cloud-native systems.
Technical Leadership
- Mentorship Own architecture and technical decision-making across frontend, backend, cloud, and BI systems.
- Mentor senior and mid-level engineers, raising engineering standards and best practices .
- Drive adoption of observability, monitoring, and security standards across teams.
- Influence cross-team architecture, platform design, and SaaS product strategy .
Additional Information
- Relocation Assistance Provided: Yes