Senior Back End Engineer

Role Overview

You will be working in a cross-functional team, using agile methodologies to build cloud-native applications for the Auto industry. We are looking for true team-players who can work beyond their specialty to help the team deliver. The ideal candidate will be a team player who is adaptable and willing to contribute to various aspects of the project, from backend development to deployment automation.

• Architect and Develop Backend Solutions:
  Lead the design, development, and deployment of robust, scalable backend services using Node.js and Type Script.
• Microservices and Event-Driven Architecture:
  Design and implement microservices-based architecture, leveraging Kafka or similar event-streaming platforms to ensure efficient and reliable data processing.
• API Development:
  Develop and maintain RESTful APIs and other service interfaces to support frontend applications and third-party integrations.
• Code Quality and Best Practices:
  Ensure the highest standards of code quality through code reviews, testing, and adherence to best practices in software development.
• Mentorship and
  
  Collaboration:
  
  Provide guidance and mentorship to junior engineers, fostering a culture of continuous learning and improvement within the team.
• System Performance and Scalability:
  Optimize existing systems for performance and scalability, ensuring the backend infrastructure can handle growing demand.
• Cross-functional Collaboration:
  
  Work closely with frontend developers, Dev Ops engineers, and other stakeholders to deliver complete, end-to-end solutions.

• 5+ years of hands‑on experience in backend development using Node.js and Type Script. Deep understanding of asynchronous programming, closures, and ES6+ features.

• Proven track record of designing, developing, and deploying microservices architectures. Experience with service discovery, load balancing, API gateways, and inter‑service communication patterns.

• Expertise in building and maintaining event‑driven systems using Kafka or similar platforms (e.g., RabbitMQ, Apache Pulsar). Understanding of event sourcing, CQRS, and message partitioning.

• Strong experience in designing, building, and consuming RESTful APIs, as well as experience with GraphQL. Knowledge of API security, versioning, and documentation best practices.

• SQL Databases:
  Extensive experience with relational databases such as PostgreSQL, MySQL, or MS SQL Server. Knowledge of database normalization, indexing strategies, and performance tuning.
• No
  
  SQL Databases:
  
  Experience with No
  
  SQL databases like MongoDB, Cassandra, or DynamoDB. Understanding of data modeling in a No
  
  SQL context, including schema design and denormalization techniques.
• Caching Mechanisms:
  Experience with caching strategies and tools such as Redis, Memcached, or similar, to optimize data retrieval and improve application performance.

• Cloud Services:
  Hands‑on experience with cloud providers such as AWS, Azure, or Google Cloud Platform. Proficiency with services like AWS Lambda, S3, EC2, RDS, and API Gateway.
• Containerization:
  Strong knowledge of Docker and Kubernetes for container orchestration, including experience with Helm charts, service mesh (e.g., Istio), and automated deployments.
• Infrastructure as Code (IaC):
  Experience with Terraform, Cloud Formation, or Ansible for managing infrastructure in a version‑controlled, repeatable manner.
• CI/CD Pipelines:
  Expertise in setting up and maintaining continuous integration and continuous deployment pipelines using tools like Jenkins, Git Lab CI, CircleCI, or Azure Dev Ops. Familiarity with blue/green deployments, canary releases, and rollback…