Description
Responsibilities Required to translate technical systems specifications into working, tested applications. This includes: developing detailed programming specifications writing and/or generating code compiling data-driven programs, maintaining,
SkillsExperience and Skill Set Requirements
Required Skills & Experience
- 10+ years of backend development experience in high-scale, distributed systems.
- Strong expertise in backend frameworks such as Spring Boot, Node.js, or .NET Core.
- Experience with Microservices architecture and API development.
- Hands-on experience with SQL (MySQL, PostgreSQL, Oracle) and NoSQL (MongoDB, Cassandra) databases.
- Proficiency with Docker, Kubernetes, and containerized application management.
- Experience with CI/CD tools (Jenkins, GitHub Actions, Azure DevOps, or similar).
- Knowledge of API gateways, service discovery, and load balancing in cloud environments.
- Strong understanding of cloud infrastructure (AWS, Azure, or GCP).
- Experience implementing security best practices for cloud-based applications.
- Proficiency in Git, GitHub, GitLab, or Bitbucket for version control.
- Strong problem-solving skills and experience optimizing high-traffic backend systems.
Preferred Qualifications
- Experience with serverless computing (AWS Lambda, Azure Functions).
- Knowledge of event-driven architectures (Kafka, RabbitMQ, Azure Service Bus/Event Grid).
- Familiarity with cloud monitoring & logging tools (Azure Application Insights, Prometheus, Grafana).
- Performance tuning and optimization in high-traffic, distributed environments.
- Cloud certifications (AWS, Azure, or GCP) are a plus.
Soft Skills
- Strong problem-solving and analytical skills.
- Excellent verbal and written communication skills.
- Ability to work collaboratively in a fast-paced, agile team.
- Eagerness to learn and adapt to new technologies.
- Ability to prioritize and manage multiple tasks efficiently.
Must Have:
- Experience with Microservices architecture and API development.
- Strong understanding of cloud infrastructure (AWS, Azure, or GCP) along with building applications on the cloud infrastructure.
- Experience with azure Service Bus.
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