Job Description: Senior / Lead .NET Engineer

Company: CargoSprint

Location: Hyderabad, India

Experience: 8+ Years

Role Type: Full-Time

Technology Stack: .NET 8+, C#, Microsoft Azure, SQL Server, Cosmos DB, Azure DevOps, AI-Assisted Engineering

About CargoSprint

CargoSprint powers cargo movement across air, ocean, road, and rail through technology-driven payment, appointment, and visibility solutions. Our products, including SprintPay, SprintPass, SprintPort, and eModal, play a critical role in the movement of freight, management of containers, and processing of payments.

At CargoSprint, we build secure, scalable, and reliable software that supports real-world logistics operations. Our engineering teams focus on delivering high-quality solutions that improve operational efficiency, enhance visibility, and simplify complex freight workflows.

Role Overview

CargoSprint is seeking a Senior / Lead .NET Engineer to drive backend architecture, engineering excellence, and technical delivery for our Hyderabad engineering team.

This is a hands-on technical leadership role requiring strong expertise in modern .NET technologies, Microsoft Azure, distributed systems, and cloud-native application development. The successful candidate will take ownership of designing and delivering high-performance backend services, influencing architectural decisions, and ensuring security, scalability, and reliability across our technology platforms.

The role also emphasizes AI-driven software engineering, including the practical adoption of AI coding assistants, agentic development tools, automated testing, and AI-powered product capabilities.

You will collaborate closely with Product, Design, QA, and other engineering stakeholders to translate business requirements into robust technical solutions while mentoring engineers and establishing engineering best practices.

Key Responsibilities

1. Backend Architecture and Development

- Design, develop, and maintain scalable backend services using C#, .NET 8 and above, and modern Microsoft development technologies.
- Own the complete software development lifecycle, from technical design and implementation to deployment, monitoring, and production support.
- Design and implement microservices, RESTful APIs, and event-driven architectures to support business-critical applications.
- Establish architectural standards, design patterns, coding conventions, and reusable engineering practices.
- Evaluate emerging technologies and continuously modernize the backend technology stack.

2. Cloud Engineering and Performance Optimization

- Build, deploy, and manage cloud-native applications and services on Microsoft Azure.
- Optimize application performance, scalability, availability, and resource utilization.
- Work with Azure App Service, Azure Kubernetes Service (AKS), Azure Service Bus, Azure Key Vault, and related Azure services.
- Design efficient data access patterns and optimize database performance across Microsoft SQL Server and Azure Cosmos DB.
- Implement effective monitoring, logging, tracing, alerting, and production diagnostics.

3. AI-Driven Engineering and Innovation

- Integrate AI-assisted development tools such as GitHub Copilot, Claude,



and Cursor into daily engineering workflows.
- Use AI tools and agentic coding workflows for software design, code generation, code reviews, test creation, debugging, and incident analysis.
- Establish guidelines for responsible AI adoption, including code quality, security validation, testing, and human oversight.
- Explore and implement AI-powered product features and LLM-based integrations where they deliver measurable business value.
- Continuously evaluate AI engineering tools and practices to improve developer productivity without compromising reliability or maintainability.

4. Engineering Quality, Security, and Reliability

- Champion secure coding practices, performance engineering, automated testing, and production readiness.
- Implement API security standards, including OAuth 2.0, OpenID Connect (OIDC), secure secrets management, and least-privilege access.
- Design resilient systems with appropriate fault tolerance, error handling, retries, and recovery mechanisms.
- Establish observability and incident management practices to improve service reliability.
- Lead blameless post-incident reviews and drive corrective and preventive actions.
- Ensure engineering practices align with applicable SOC 2 and PCI DSS security and compliance requirements.

5. DevOps and Continuous Delivery

- Design and maintain CI/CD pipelines using Azure DevOps.
- Integrate automated builds, testing, code quality checks, dependency scanning, and security controls into delivery pipelines.
- Promote infrastructure automation and consistent deployment practices across development, testing, and production environments.
- Improve release processes, deployment reliability, and operational efficiency.
- Collaborate with security and infrastructure teams to maintain compliance and production stability.

6. Technical Leadership and Collaboration

- Provide hands-on technical leadership and guide architectural and implementation decisions.
- Conduct design reviews, code reviews, and technical discussions to maintain high engineering standards.
- Mentor engineers through pairing, knowledge sharing, constructive feedback, and technical guidance.
- Partner with Product, Design, and QA teams to define technical approaches, assess trade-offs, and deliver business outcomes.
- Lead technical initiatives, resolve complex engineering challenges, and promote a culture of ownership, collaboration, and continuous improvement.

Required Skills and Qualifications

- 8+ years of professional experience developing and delivering production-grade backend applications using .NET and C#.
- Recent, hands-on experience with .NET 8 or higher and modern .NET application development.
- Strong expertise in Microsoft Azure services, including Azure App Service, Azure Kubernetes Service (AKS), Azure Service Bus,



Azure Key Vault, and Azure DevOps.
- Experience with Microsoft SQL Server and Azure Cosmos DB, including data modeling, query optimization, and performance tuning.
- Proven experience designing and implementing microservices, RESTful APIs, and event-driven distributed systems.
- Strong understanding of API design, application security, authentication, authorization, OAuth 2.0, and OpenID Connect.
- Experience building secure, scalable, highly available, and maintainable backend systems.
- Hands-on experience with CI/CD pipelines, automated testing, deployment automation, and production monitoring.
- Working knowledge of SOC 2 and PCI DSS controls in regulated, financial, payment, or security-sensitive environments.
- Practical experience using AI-assisted coding tools such as GitHub Copilot, Claude, or Cursor in software development workflows.
- Strong problem-solving, analytical, communication, and technical decision-making skills.
- Demonstrated ability to lead technical projects, influence engineering practices, and mentor team members.

Preferred Qualifications

- Experience with Docker, Kubernetes, and containerized application deployments.
- Experience integrating large language models (LLMs), AI agents, or AI-powered services into enterprise applications.
- Familiarity with modern frontend frameworks such as Angular.
- Experience in logistics, transportation, supply chain, payments, or fintech domains.
- Knowledge of infrastructure as code, distributed tracing, application performance monitoring, and cloud cost optimization.
- Experience working with compliance-driven engineering processes and production-critical systems.

What Success Looks Like

- Delivery of secure, scalable, and high-performance backend services.
- Improved application reliability, observability, and production support outcomes.
- Continuous modernization of the .NET and Azure technology stack.
- Effective adoption of AI-assisted engineering practices with measurable improvements in productivity and quality.
- Strong engineering standards across architecture, testing, security, and deployment.
- Improved team capability through mentoring, technical collaboration, and knowledge sharing.
- Reliable delivery of business-critical features in partnership with Product, Design, and QA.

Why Join CargoSprint?

- Technical Ownership: Influence architecture and make meaningful engineering decisions.
- Contemporary Technology: Work with the latest .NET, Microsoft Azure, distributed systems, and AI engineering tools.
- Real-World Impact: Build products that support critical logistics, cargo movement, and payment workflows.
- Engineering Excellence: Help shape engineering standards, development practices, and technical direction.
- Collaborative Culture: Partner with cross-functional teams and contribute to a culture of continuous improvement.

Join CargoSprint and help build the next generation of secure, scalable, AI-enabled logistics technology.

Skills:- SQL Server Reporting Services (SSRS), Cosmos DB, .NET 8+, Microsoft Azure, RESTful APIs,, Azure Kubernetes Service , Copilot, GitHub, Open-source LLMs, DevOps and CI/CD pipelines

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