Overview
Lead a hands-on senior engineering role building scalable, secure, high-performance enterprise applications across the full stack, with primary focus on C#, PostgreSQL, React and Google Cloud Platform, supporting logistics and platform services.
What you'll do
- Lead by example through rigorous code reviews, technical guidance, and onboarding of junior to mid-level engineers within an Agile environment.
- Write clean, maintainable, highly optimized code across the full stack, developing robust microservices and APIs in C# / .NET and dynamic frontends using React.
- Explore and integrate generative AI capabilities using Google Gemini to automate workflows, optimize data intelligence, and enhance user experiences.
- Actively participate in stabilizing and optimizing L1 and L3 production support workflows, troubleshooting complex high-priority issues across frontends, APIs and cloud infrastructure to reduce downtime.
- Build and enhance self-serve applications, API gateways, and tenant onboarding frameworks that allow independent user management and seamless customer adoption.
- Leverage GCP services (e.g., Compute Engine, GKE, Cloud SQL, Cloud Run) and help build and maintain CI/CD pipelines, automated testing, and environment monitoring tools.
- Apply domain insights into ITAD and reverse logistics workflows to optimize asset lifecycle management platforms.
- Collaborate with Principal Architects to design and build scalable, multi-tenant enterprise applications, ensuring code quality, security and high performance.
What you'll need
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 5 to 8+ years of professional software engineering experience, with a proven track record in a senior or aspiring lead capacity.
- Strong, hands-on experience using C# (.NET Core/.NET), PostgreSQL Server, and React.
- Practical experience building and deploying cloud-native applications within Google Cloud Platform (GCP).
- Direct experience troubleshooting live production issues and working closely with L1/L3 support groups to improve system uptime and resolution frameworks.
- Understanding of microservices, RESTful API design, multi-tenant patterns, and building self-serve user workflows.
- Practical experience with Git-based CI/CD pipelines (e.g., GitLab, GitHub Actions, or GCP Cloud Build) and containerization tools (Docker/Kubernetes).
Nice to have
- Hands-on experience or familiarity with the Google Gemini API (or other LLMs/Generative AI tooling).
Details
- Location: Chennai, India.
Read the full description and apply on the company’s own careers page.