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Lead .NET Full Stack Engineer

External
Gradera Inc. logoGradera · Hyderabad, India
Full-timeOn-site6d ago
.NET CoreAgileASP.NETCachingCapacity PlanningCI/CD
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About the role

We are seeking an experienced Lead .NET Full stack Engineer to join our engineering team. You will lead the design and development of high-performance backend services that power real-time operational systems and enterprise platforms along with Frontend applications. In this role, you will own core service architecture, mentor an engineering squad, and ensure production-grade reliability, scalability, and maintainability across the platform. Working closely with solution architects, data engineers, DevOps, and product teams, you will translate complex business and operational requirements into robust distributed systems built on modern .NET technologies.

Responsibilities

  • Lead the design, development, and evolution of backend services using C# 12, .NET 9.0, and ASP.NET Core
  • Architect and implement gRPC-based services and Protocol Buffers contracts for low-latency communication
  • Design scalable data access layers using PostgreSQL and Entity Framework Core
  • Drive performance tuning, load testing, and capacity planning for critical services
  • Establish and enforce coding standards, architectural guidelines, and best practices
  • Own technical delivery for assigned modules and ensure sprint commitments are met
  • Support production systems through monitoring, troubleshooting, and incident resolution.
  • Contribute to continuous improvement initiatives across engineering practices and platform architecture.
  • Core Platform Stack
  • Backend & APIs
  • C# 12, .NET 9.0
  • NET Core for RESTful and gRPC services
  • gRPC & Protocol Buffers for high-performance service-to-service communication
  • Front-End Engineering
  • React for building complex, state-heavy interactive dashboards
  • JavaScript (ES6+) and TypeScript for type-safe management of simulation data
  • State management (Redux/Zustand) optimized for high-frequency data updates
  • Data & State Management
  • PostgreSQL for relational data storage
  • Entity Framework Core for ORM and data access
  • Redis for caching, session state, and working memory
  • Cloud-Native & DevOps
  • Docker for containerization
  • Kubernetes for orchestration and service scaling.
  • CI/CD pipelines for automated build, test, and deployment
  • Architecture & Design
  • Microservices and modular monolith patterns
  • Event-driven and asynchronous processing
  • System design for high availability, resiliency, and performance

Requirements

  • 8+ years of hands-on software engineering experience with strong expertise in .NET
  • 4+ years of experience building production-grade systems using ASP.NET Core
  • Strong experience with PostgreSQL and Entity Framework Core
  • Solid understanding of Redis for caching and distributed state management
  • Experience deploying and operating containerized workloads on Kubernetes
  • Demonstrated system design expertise for scalable, distributed architectures
  • Prior experience leading or mentoring a small engineering team (3-5 engineers)
  • Strong understanding of API security, authentication, and authorization patterns
  • Experience working in agile, cross-functional product teams
  • Highly Desirable
  • Experience with event-driven architectures (Kafka or similar)
  • Experience with real-time or high-throughput backend systems
  • Experience implementing observability (OpenTelemetry, Prometheus, Grafana)
  • Industry Experience: Exposure to industrial domains such as Manufacturing, Logistics, or Transportation is highly regarded.
  • Familiarity with containerization (Docker/Kubernetes) and modern CI/CD pipelines.

Additional Information

About Gradera Gradera defines a new category of enterprise transformation called Software-Orchestrated Services™ - where software orchestrates human expertise, digital workers, and enterprise systems to deliver governed outcomes at scale. As an AI Native Services firm, we help enterprises redesign how work gets done across operations, product, engineering, customer experience, data, and enterprise workflows to move beyond fragmented AI pilots and disconnected automation toward measurable business outcomes


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