Note: The job is a remote job and is open to candidates in USA. Talener is seeking a Senior Cloud Engineer to support a rapidly growing organization undergoing a large-scale digital transformation initiative. The role focuses on building and scaling reliable workflow orchestration solutions with Python in AWS, developing deployment and automation processes, and supporting production systems. The engineer will also collaborate with cross-functional teams, implement observability and fault-tolerant mechanisms, and troubleshoot platform issues.
Responsibilities
- Design, develop, and maintain workflow orchestration solutions using Python and modern orchestration frameworks
- Build reliable, scalable, and observable data and application workflows supporting critical business operations
- Integrate cloud data platforms, internal applications, and third-party services through APIs and distributed systems
- Develop and support deployment pipelines, release processes, and environment management across development, testing, and production
- Implement monitoring, logging, alerting, and operational visibility for production workloads
- Design retry strategies, recovery mechanisms, and fault-tolerant processes for workflow execution
- Support secure application configuration, authentication, access controls, and secrets management
- Partner closely with data, application, and cloud engineering teams to deliver end-to-end platform capabilities
- Create operational documentation, deployment guides, and support runbooks
- Troubleshoot production issues and contribute to platform reliability, performance, and engineering best practices
Skills
- 7+ years of experience in software engineering, platform engineering, or backend application development
- Strong commercial experience building applications and services in Python
- Experience designing, implementing, and supporting production workflow orchestration platforms
- Hands-on experience with Prefect or similar workflow orchestration technologies
- Experience deploying and operating cloud-native applications within AWS environments
- Strong SQL skills and experience working with modern cloud data platforms such as Snowflake or comparable technologies
- Experience building and maintaining CI/CD pipelines and automated deployment processes
- Strong understanding of monitoring, logging, observability, and production support practices
- Experience integrating systems through APIs, distributed services, and data pipelines
- Strong software engineering fundamentals including testing, version control, and code review practices
- Knowledge of infrastructure-as-code tools such as Terraform is highly preferred
- Experience with Docker, Kubernetes, dbt, event-driven architectures, or modern cloud data platforms is considered a plus
Benefits
- Role can be performed remotely from within the United States
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