Real-Time Engineer (Erlang/Elixir/Phoenix) at Lorgarithm

Position Overview:

• We are seeking five (5) skilled Real-Time Engineers with deep expertise in Erlang, Elixir, and the Phoenix framework. The ideal candidates will have a strong background in algorithm development and real-time systems. These engineers will be responsible for building and maintaining a robust real-time chatting and offline messaging platform, leveraging a microservices architecture and a variety of AWS services to ensure scalability, reliability, and performance.

Key Responsibilities:

Real-Time Chat & Messaging (Erlang/Elixir/Phoenix):

• Design and implement real-time chat and messaging services using Erlang/Elixir and the Phoenix framework.
• Manage WebSocket connections efficiently for real-time communication.
• Develop and maintain offline messaging queues and chat metadata storage using Cassandra.
• Ensure high availability and low latency for real-time messaging through efficient use of Redis and RabbitMQ.

Database Management:

• Utilize Redis as an in-memory storage solution for real-time messaging.
• Use Cassandra to store high-volume chat metadata, user activity logs, and offline messages.
• Manage user profiles and chat history in RDS (PostgreSQL/MySQL).
• Integrate RabbitMQ for message queuing and ensuring reliable message delivery.

Microservices & Orchestration:

• Develop and deploy microservices architecture using Kubernetes for managing real-time chat services.
• Implement and manage StatefulSets for Cassandra to ensure seamless database integration.
• Deploy and monitor chat services using AWS EC2/ECS for optimal performance and scalability.
• Utilize Istio or Linkerd as a service mesh for microservices management and security.

Monitoring & Logging:

• Implement monitoring solutions using Prometheus and Grafana to track performance metrics.
• Set up and manage logging infrastructure using the ELK Stack (Elasticsearch, Logstash, Kibana).
• Ensure that the system is highly observable with real-time metrics and alerts.

Algorithm Development & Optimization:

• Develop efficient algorithms for handling high-concurrency chat connections and message delivery.
• Optimize data retrieval and storage mechanisms to ensure low-latency interactions.
• Work on distributed systems and parallel processing to handle high volumes of real-time data.

Collaboration & Teamwork:

• Collaborate with frontend engineers, product managers, and other stakeholders to deliver a seamless user experience.
• Participate in code reviews, design discussions, and provide mentorship to junior engineers.
• Contribute to continuous improvement initiatives within the team and the broader organization.

Required Qualifications:

Experience:

• Minimum 5 years of experience in backend development using Erlang/Elixir and the Phoenix framework.
• Proven experience in real-time communication systems and WebSocket management. - Strong algorithmic problem-solving skills with a focus on real-time data processing.
• Extensive experience with AWS services, including EC2/ECS, ElastiCache (Redis), and RDS.
• Proficiency in microservices architecture and container orchestration with Kubernetes.
• Technical Expertise:
• Strong knowledge of Erlang/Elixir for building scalable and reliable real-time services.
• Expertise in using Redis and Cassandra for high-performance data storage and retrieval. - Experience with RabbitMQ for message queuing in distributed systems.
• Proficient in setting up monitoring and logging solutions using Prometheus, Grafana, and the ELK Stack.
• Familiarity with service mesh technologies such as Istio or Linkerd.
• Other Skills:
• Excellent communication and collaboration skills.
• Ability to work in a fast-paced, agile environment.
• Strong commitment to quality and continuous improvement.

Preferred Qualifications:

• Experience with CI/CD pipelines and automated testing.
• Knowledge of security best practices in cloud environments.
• Experience with real-time communication protocols and distributed systems.

Method of Application