
Backend Service Architect
2 weeks ago
We are seeking a skilled Cloud Engineer to play a pivotal role in designing, developing, and maintaining scalable backend services.
Key Responsibilities:- Design and develop scalable Python-based backend services with a focus on scalability and maintainability.
- Deploy and manage applications on cloud platforms such as AWS, Azure, or GCP, ensuring seamless integration and high performance.
- Implement and maintain logging, monitoring, and alerting systems using the ELK Stack, providing real-time insights into system performance.
- Build RESTful APIs and integrate them with internal/external services, utilizing industry-standard protocols and best practices.
- Utilize Docker and Kubernetes for containerization and orchestration, streamlining deployment and management processes.
- Establish and maintain CI/CD pipelines using tools like Jenkins, GitHub Actions, or GitLab CI, ensuring consistent delivery and high-quality releases.
- Collaborate closely with cross-functional teams, including DevOps, Data Engineering, and QA, to drive business outcomes and improve overall efficiency.
- At least 3 years of professional experience with Python (Flask, Django, FastAPI, etc.), with a strong focus on application development and maintenance.
- Proficiency in at least one cloud platform (AWS, Azure, or GCP), with experience in deploying and managing cloud-based applications.
- Strong understanding of Elasticsearch, Logstash, and Kibana (ELK Stack) for log aggregation and visualization, with experience in implementing and maintaining logging and monitoring systems.
- Familiarity with Docker and Kubernetes, with experience in containerization and orchestration.
- Good understanding of CI/CD principles and practices, with experience in establishing and maintaining continuous integration and delivery pipelines.
- Experience in RESTful API development and microservices architecture, with a focus on scalability, maintainability, and high performance.
- Proficiency in Git and collaborative development workflows, with experience in version control and team collaboration.
- Cloud certifications (e.g., AWS Developer Associate, Azure Developer), demonstrating expertise in cloud computing and related technologies.
- Experience with Infrastructure as Code tools (Terraform, CloudFormation), with a focus on automation and efficiency.
- Knowledge of message queues (e.g., Kafka, RabbitMQ), with experience in designing and implementing distributed systems.
- Exposure to security best practices in cloud environments, with a focus on data protection, access control, and compliance.
- Experience with other observability tools (e.g., Prometheus, Grafana), with a focus on monitoring, logging, and troubleshooting.
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