Job Description

Charger logistics Inc. is a world- class asset-based carrier with locations across North America. With over 20 years of experience providing the best logistics solutions, Charger logistics has transformed into a world-class transport provider and continue to grow.
We are seeking a skilled and performance-minded Backend Engineer- .NET Core to support and evolve our distributed system of over 100 microservices, built primarily with .NET Core and PostgreSQL. The ideal candidate has deep experience in backend development, service-to-service communication, and infrastructure-level tools like service mesh, and observability platforms. You will work closely with DevOps, QA, and frontend teams to ensure high availability, scalability, and maintainability of our services.
Responsibilities:

• Design, develop, and optimize high-performance backend microservices using .NET Core/C#.
• Implement distributed tracing, logging, and metrics for observability using tools like OpenTelemetry, Prometheus, and Grafana.
• Optimize service-to-service communication and database access to reduce latency and improve throughput.
• Write scalable SQL queries and optimize PostgreSQL usage, indexing, and connection handling.
• Contribute to service discovery, dynamic routing, and rollout strategies (e.g., blue/green, canary).
• Collaborate with QA to improve testability and traceability in a distributed system.
• Participate in architecture reviews and contribute to best practices for microservices at scale.
• Maintain CI/CD integration pipelines and ensure backend services deploy reliably.
• Troubleshoot and debug production issues using logs, traces, metrics, and profiling tools.

• 5+ years of backend development experience, including 2+ years in a microservices environment.
• Strong hands-on experience with .NET Core (C#) and PostgreSQL.
• Experience with distributed tracing, metrics, and log aggregation tools (e.g., Jaeger, Prometheus, Loki, Grafana).
• Deep understanding of REST, gRPC, and asynchronous messaging patterns (e.g., Kafka, RabbitMQ).
• Familiarity with Kubernetes, Docker, and container-based deployments.
• Understanding of software performance profiling, benchmarking, and optimization.
• Strong grasp of service resilience patterns: timeouts, retries, bulkheads, circuit breakers.
• Excellent problem-solving and debugging skills in large-scale systems.

• Experience working with Istio, Consul, or another service mesh.
• Familiarity with Event Sourcing, CQRS, and DDD patterns.
• Exposure to Infrastructure as Code tools (Terraform, Helm).
• Experience with other databases like Redis, MongoDB, or TimescaleDB.
• Knowledge of cloud platforms like AWS, Azure, or GCP.

• Competitive Salary
• Healthcare Benefit Package
• Career Growth