Senior Backend Engineer

Pt Vanz Inovatif Teknologi (qbit)Jakarta Utara, DKI Jakartaglintspublished 10/05/2026
Must-have:C#DockerKubernetesDevOpsQA/TestCI/CDMicroservices

Responsibilities

  • Review and optimize Pub/Sub and event-driven communication mechanisms.
  • Ensure asynchronous processing does not introduce bottlenecks or excessive database transactions.
  • Improve message processing, concurrency, retry handling, and idempotency.
  • Evaluate the impact on database load and overall application throughput.
  • Review and optimize applications built on .NET 8 and microservices architecture.
  • Identify application-layer bottlenecks impacting database performance.
  • Improve asynchronous processing, connection management, concurrency, caching, and service-to-service communication.
  • Ensure optimization changes remain scalable and do not introduce regression across other services.
  • Optimize application performance using .NET 8, ASP.NET Core Web API, and modern C# programming practices.
  • Design, develop, and optimize scalable, high-performance microservices architectures.
  • Analyze application bottlenecks and perform root-cause analysis to improve response time, throughput, and resource utilization.
  • Optimize asynchronous programming using async/await, Task, concurrency, and parallel processing where appropriate.
  • Improve API performance through efficient request processing, pagination, caching, serialization, and connection management.
  • Optimize Entity Framework Core queries, LINQ expressions, database access patterns, and SQL execution plans.
  • Implement distributed caching using Redis or equivalent caching technologies.
  • Optimize inter-service communication using REST APIs, gRPC, and message brokers such as RabbitMQ or Kafka.
  • Improve application resilience through timeout management, retry policies, circuit breakers, rate limiting, and fault-tolerance mechanisms.
  • Monitor and troubleshoot production applications using structured logging, metrics, distributed tracing, and Application Performance Monitoring (APM) tools.
  • Conduct performance testing, load testing, stress testing, and capacity planning to validate system scalability.
  • Optimize Docker containers and Kubernetes deployments to improve resource efficiency, startup time, and service availability.
  • Implement observability standards using OpenTelemetry, Prometheus, Grafana, or equivalent monitoring solutions.
  • Collaborate with DevOps, Database, QA, and Infrastructure teams to improve application reliability and deployment efficiency.
  • Establish performance baselines and continuously improve response time, throughput, memory usage, CPU utilization, and error rates.
  • Maintain technical documentation, performance reports, optimization recommendations, and architectural standards.

Requirements

  • Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or a related field.
  • Strong hands-on experience developing enterprise applications using .NET 8, ASP.NET Core Web API, and C#.
  • Strong understanding of microservices architecture, RESTful APIs, dependency injection, middleware, and modular application design.
  • Experience optimizing application performance, API latency, memory allocation, CPU usage, and concurrent request processing.
  • Strong knowledge of asynchronous programming, multithreading concepts, thread-pool behavior, and task-based programming.
  • Experience with Entity Framework Core, LINQ optimization, database connection pooling, SQL query tuning, and indexing strategies.
  • Experience with SQL Server, PostgreSQL, Oracle, or other relational database technologies.
  • Knowledge of Redis, in-memory caching, distributed caching, and cache invalidation strategies.
  • Experience with messaging and event-driven architectures using RabbitMQ, Kafka, or equivalent technologies.
  • Understanding of microservices reliability patterns, including retries, circuit breakers, timeouts, idempotency, and fault isolation.
  • Experience with Docker, Kubernetes, CI/CD pipelines, and automated deployment processes.
  • Familiarity with monitoring and observability tools such as OpenTelemetry, Grafana, Prometheus, Application Insights, Dynatrace, or Datadog.
  • Experience using performance profiling and load-testing tools such as dotnet-counters, dotnet-trace, BenchmarkDotNet, k6, or JMeter.
  • Strong analytical, troubleshooting, problem-solving, and communication skills.