Senior .NET Core Software Engineer (Onsite, Lahore, PKR Salary)
HR POD - Hiring Talent Globally
Date: 2 weeks ago
City: Lahore
Contract type: Full time
Requirements:
- Bachelors degree in Computer Science, Software Engineering, or a related technical field, Masters degree is a plus.
- 5+ years of backend development experience using .NET Core, with a demonstrated focus on microservices architecture, DDD, and clean architecture.
- Experience with IoT protocols, data formats, and multithreaded listener applications.
- Strong knowledge of network protocols (TCP/UDP) and security practices in IoT communications.
- Familiarity with real-time frameworks and event-driven architectures (e.g., Kafka, RabbitMQ).
- Experience ensuring low-latency data processing and reliable message delivery.
- Proven skills in identifying bottlenecks and optimizing performance in distributed systems.
- Expertise in tuning algorithms and resource utilization.
- Experience with automated testing frameworks and CI/CD environments.
- Familiarity with unit, integration, and performance testing.
- Working knowledge of agile practices like Scrum or Kanban.
- Ability to participate in sprint planning and continuous improvement efforts.
- Familiarity with open-source GPS tracking systems (e.g., Traccar).
- Involvement in open-source projects is a plus.
- Strong analytical skills with a deep understanding of algorithms, data structures, and software design patterns.
- Excellent communication skills and a proven ability to lead technical projects, mentor junior team members, and collaborate across departments.
- Architect, develop, and maintain backend services and microservices using .NET Core, applying DDD and clean architecture principles to achieve highly modular and scalable solutions.
- Implement multi-threaded applications with a focus on optimizing system performance and resource utilization.
- Design and maintain reliable communication channels with IoT devices, leveraging TCP/UDP socket programming, various IoT protocols, and data formats.
- Integrate and work with message brokers, queues, and streaming platforms (e.g., Kafka, RabbitMQ) to ensure efficient data processing and service communication.
- Employ efficient algorithms, data structures, and design patterns to enhance system responsiveness and scalability.
- Establish and enforce quality assurance processes, including code reviews, unit testing, and integration testing to ensure high-quality deliverables.
- Identify and resolve technical debt, code smells, and performance bottlenecks through proactive refactoring and optimization.
- Implement monitoring, logging, and alerting mechanisms to proactively detect and address potential production issues, ensuring system reliability.
- Work closely with DevOps teams to deploy, monitor, and manage backend services in production, utilizing containerization tools such as Docker and Kubernetes.
- Develop and maintain data storage solutions using a hybrid approach with SQL and NoSQL databases, ensuring optimized data access and storage strategies.
- Foster a culture of collaboration, innovation, and continuous improvement within the backend development team.
- Mentor junior engineers and conduct thorough code reviews, upholding development standards.
- Collaborate effectively with cross-functional stakeholders, including product managers, frontend developers, and QA engineers, to align on project goals and priorities.
- Regularly update senior management on project progress, technical challenges, and risk mitigation strategies.
- Strong background in multi-threading, concurrency, and TCP/UDP socket programming.
- Proven experience in designing scalable, resilient microservices-based systems.
- Hands-on expertise with IoT protocols, device communication patterns, and data formats.
- Proficiency with message brokers, queues, and streaming platforms (e.g., Kafka, RabbitMQ).
- Solid understanding of containerization technologies (e.g., Docker, Kubernetes) and deploying to cloud environments.
- Experience with both relational (SQL) and non-relational (NoSQL) databases, with an ability to optimize hybrid data storage.
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