Senior Backend Developer

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About Us: We are dedicated to providing cutting-edge solutions to our clients. With our current backend serving up to 2,000 users, we are on a mission to scale up to 100,000 users. We need talented engineers and architects to join our team and help us achieve this ambitious goal.

Job Description:

As a Senior Backend Engineer / Cloud Architect, you will be instrumental in designing, developing, and scaling our backend infrastructure on Microsoft Azure to support a growing user base. You will work closely with our development team to ensure seamless data processing and system reliability.

Key Responsibilities:

1. System Architecture: Design and implement scalable, reliable, and high-performance backend systems capable of handling up to 100,000 users.
2. Data Stream Processing: Develop and optimize data processing pipelines to handle real-time data streams efficiently.
3. Azure Infrastructure: Architect and maintain cloud infrastructure using Microsoft Azure services.
4. Performance Optimization: Identify and resolve performance bottlenecks in the application and infrastructure.
5. Monitoring & Logging: Implement comprehensive monitoring and logging using Azure Monitor, Azure Log Analytics, and other tools to ensure system health and quick troubleshooting.
6. Security: Ensure the backend infrastructure adheres to best security practices, leveraging Azure Security Center and other Azure security services.
7. Collaboration: Work closely with frontend developers, data engineers, and other stakeholders to deliver high-quality products.
8. Documentation: Create and maintain detailed documentation for system architecture, configurations, and operational procedures.

Required Skills and Experience:

1. Backend Development: Proficiency in Node.js with a solid understanding of asynchronous programming, event-driven architecture, and RESTful APIs.
2. Scalability: Proven experience in scaling backend systems to support a large number of concurrent users.
3. Microservices: Knowledge of microservices architecture and containerization technologies like Docker and Kubernetes (Azure Kubernetes Service - AKS).
4. Database Management: Experience with both SQL and NoSQL databases, including optimization and scaling techniques using Azure Cosmos DB and Azure SQL Database.
5. Message Queues: Familiarity with Azure Service Bus, Azure Event Grid, or Azure Event Hubs for handling real-time data streams.
6. DevOps: Strong understanding of CI/CD pipelines using Azure DevOps, infrastructure as code (IaC) with Azure Resource Manager (ARM) templates or Terraform, and configuration management.
7. Performance Tuning: Expertise in performance tuning, load balancing with Azure Load Balancer and Azure Application Gateway, and caching strategies with Azure Cache for Redis.
8. Monitoring Tools: Experience with Azure Monitor, Azure Log Analytics, and Application Insights.
9. Security Best Practices: Understanding of security best practices, including data encryption, authentication, and authorization using Azure Active Directory and Azure Key Vault.
10. Soft Skills: Excellent problem-solving skills, strong communication, and the ability to work collaboratively in a team environment.

Preferred Qualifications:

1. Serverless Architecture: Experience with serverless computing models using Azure Functions and Logic Apps.
2. CI/CD Pipelines: Proficiency in setting up and managing CI/CD pipelines using Azure DevOps.
3. Infrastructure as Code: Experience with IaC tools like ARM templates, Terraform, or Bicep.
4. Big Data Processing: Familiarity with Azure Databricks, Apache Spark, or other big data processing frameworks.
5. Real-Time Data Processing: Experience with real-time data processing and streaming technologies like Azure Stream Analytics or Apache Kafka.
6. API Management: Knowledge of Azure API Management for securing, managing, and scaling APIs.
7. Networking and Hybrid Cloud: In-depth knowledge of Azure networking services and experience with hybrid cloud environments.
8. Disaster Recovery: Experience with designing and implementing DR and HA strategies on Azure.
9. Cost Optimization: Understanding of Azure cost management and optimization techniques.
10. Compliance and Governance: Experience with implementing compliance and governance frameworks using Azure Policy and Azure Blueprints.
11. Machine Learning: Familiarity with Azure Machine Learning and integrating AI services.
12. Leadership Skills: Strong leadership and project management skills, with the ability to mentor junior engineers.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

IT Services and IT Consulting

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