Software Engineer- Backend

Overview

Backend Software Developer building scalable, cloud-based microservices for a Retail Media product that helps retailers grow ad revenue.

What you'll do

• Design and implement robust backend systems and services using .NET technologies.
• Build, deploy, and maintain microservices in a cloud-based environment, ensuring scalability, fault tolerance, and performance.
• Leverage cloud technologies (AWS, Azure, GCP) to deploy and manage backend services in a cloud-native environment.
• Write clean, maintainable, and efficient code while adhering to coding standards and best practices.
• Optimize backend services for performance, security, and reliability.
• Collaborate with front-end developers, DevOps engineers, product managers, and other stakeholders to deliver integrated solutions.
• Provide mentorship to junior developers as needed.
• Implement automation frameworks, integrate CI/CD pipelines, and drive continuous improvement to streamline deployment and testing processes.
• Write unit, integration, and performance tests.
• Troubleshoot and resolve issues in production and development environments.
• Create and maintain detailed documentation for backend services, architecture, and workflows.

What you'll need

• 2 to 4 years of hands-on expertise in C#, ASP.NET, .NET Core, and related frameworks.
• Strong experience designing, developing, and deploying microservices-based applications.
• Hands-on experience with at least one cloud platform (AWS, Azure, GCP), including cloud-native services like containers (Docker), serverless, and Kubernetes.
• Solid understanding of relational and NoSQL databases (SQL Server, PostgreSQL, MongoDB, etc.) and experience with cloud database services.
• Proficiency in designing and developing RESTful APIs, GraphQL, and working with third-party integrations.
• Experience with continuous integration, deployment, and version control systems (e.g., Git, Jenkins, Azure DevOps, GitLab).
• Knowledge of event-driven architecture, messaging queues (e.g., Kafka, RabbitMQ), and service discovery mechanisms.
• Understanding of security principles, including authentication, authorization, encryption, and secure coding practices.
• Experience with performance optimization, load balancing, and monitoring tools (e.g., Prometheus, Grafana).
• Strong analytical and problem-solving skills, with a keen attention to detail and ability to debug complex systems.

Nice to have

• Experience with containerization tools like Docker and orchestration using Kubernetes.
• Familiarity with Agile methodologies and Scrum practices.
• Knowledge of monitoring and logging tools (e.g., ELK stack, Datadog, New Relic).
• Familiarity with serverless architectures.