Backend Engineers - Part-Time

Job Description
We are seeking a Backend Engineer to design, develop, and maintain scalable, secure, and high-performance backend services that support modern digital platforms. The role requires experience in cloud-native development, microservices architecture, DevOps practices, and agile software delivery.

Key Responsibilities

• Collaborate with Business Analysts and Product Managers to translate business requirements into technical solutions.
• Design, develop, and maintain scalable backend APIs and services.
• Work closely with QA teams to support automated testing and timely issue resolution.
• Partner with DevOps teams to automate CI/CD pipelines, deployments, and monitoring processes.
• Apply modern software engineering practices including code reviews, automated testing, and continuous integration.
• Support application security, performance, scalability, and reliability initiatives.
• Prepare and maintain system and technical documentation.
• Optimize backend systems, observability, and operational efficiency.
• Contribute to technical improvements and innovation initiatives where applicable.

Requirements

Technical Skills

• Degree or Diploma in Computer Science, Information Technology, Engineering, or a related field.
• Experience with Git and branching strategies such as GitFlow or trunk-based development.
• Proficiency in one or more backend programming languages such as Java, Kotlin, Python, Golang, Node.js, or Ruby.
• Experience with cloud platforms including AWS, Azure, or Google Cloud.
• Strong understanding of RESTful APIs, GraphQL, gRPC, and WebSockets.
• Experience with microservices and event-driven architecture using technologies such as Kafka or RabbitMQ.
• Familiarity with Docker and Kubernetes.
• Experience with CI/CD tools such as GitHub Actions, GitLab CI, or ArgoCD.
• Knowledge of database technologies including PostgreSQL, MySQL, MongoDB, DynamoDB, and Redis.
• Experience with monitoring and observability tools such as Prometheus, Grafana, OpenTelemetry, or ELK Stack.
• Familiarity with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Pulumi.
• Experience with API documentation tools such as Swagger/OpenAPI.
• Knowledge of search technologies such as Elasticsearch and Redis.

Software Engineering Practices

• Experience working in Agile environments such as Scrum or Kanban.
• Familiarity with software engineering practices including test automation, continuous integration, and continuous improvement.
• Experience with testing frameworks such as JUnit, PyTest, Jest, or Playwright.
• Ability to write clean, maintainable, and efficient code.

Preferred Qualifications

• Understanding of Domain-Driven Design (DDD) and Clean Architecture principles.
• Experience with authentication or digital identity platforms.
• Experience with API gateways or service mesh technologies such as Kong, Istio, or Apigee.
• Exposure to serverless technologies including AWS Lambda or Azure Functions.
• Experience with Elasticsearch optimization and tuning.
• Knowledge of hybrid search or semantic search technologies.