Backend Systems Engineer

1 week ago

Islamabad, Islamabad, Pakistan beBeeBackend Full time

We are seeking a highly skilled Backend Systems Engineer to join our team. This role requires an individual with strong expertise in software design and architecture, who can work collaboratively with cross-functional teams to build scalable cloud-native platforms and backend services.

Key Responsibilities:
  • Design and develop production-grade backend services using Python, Golang, and/or Node.js.
  • Implement systems for ingesting and processing LiDAR, point cloud, and other geospatial data types.
  • Develop backend components for spatial data pipelines and digital twin platform integrations.
  • Containerize microservices using Docker and deploy using serverless frameworks (AWS Lambda).
  • Optimize performance for large-scale applications using Redis for caching and Kafka/RabbitMQ for asynchronous processing.
  • Configure and maintain distributed systems infrastructure with autoscaling and fault tolerance on cloud platforms.
  • Implement real-time data APIs, authentication flows, and secure data streaming with API Gateway and Cognito.
  • Enable efficient database interactions using PostgreSQL and MySQL, with read replicas and failover strategies.
  • Set up logging, tracing, and alerting using tools like CloudWatch, ELK stack, or Prometheus/Grafana.
  • Collaborate with AI and Computer Vision teams to support 3D object recognition and segmentation pipelines at scale.
  • Lead backend testing practices including unit, integration, and end-to-end test suites.
  • Establish and maintain CI/CD workflows with tools like GitHub Actions, Jenkins, or GitLab CI.
Required Skills and Qualifications:Languages & Frameworks:
  • Proficient in Python with production experience in Django, Flask.
  • Working knowledge of FastAPI, Golang, and/or Node.js.
System Design & Architecture:
  • Strong grasp of OOP, data structures, algorithms, and distributed system principles.
Databases & Caching:
  • Hands-on with PostgreSQL, MySQL.
  • Practical experience with Redis, Memcached, and other caching strategies.
Message Queues:
  • Proficiency with Kafka, RabbitMQ, Amazon SQS, and stream processing patterns.
Cloud Platforms:
  • AWS (mandatory): EC2, RDS, ECS, EKS, Lambda, VPC, API Gateway, Cognito, SNS, SQS.
  • GCP/Azure (nice to have): Cloud Functions, Pub/Sub, Azure Functions, etc.
DevOps & CI/CD:
  • Containerization with Docker, orchestration via Kubernetes, and automation with Ansible.
  • CI/CD tools like GitHub Actions, GitLab CI, Jenkins.
Monitoring & Observability:
  • Experience with CloudWatch, Prometheus, Grafana, ELK Stack, New Relic, or Datadog.
Edge & IoT:
  • Experience working with edge computing and IoT devices for data ingestion and synchronization.
Agile Development:
  • Familiarity with Jira, Confluence, and iterative delivery in Agile/Scrum teams.
Team & Leadership:
  • Ability to mentor junior engineers, perform code reviews, and lead backend efforts across functions.

Preferred qualifications include experience with Golang and/or Node.js, point cloud/LiDAR data, spatial or GIS data processing, and digital twin technologies.

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