FULLTIME
Python AWS Cloud Engineer

Velodata Global
Not specified · onsite · Posted 5d ago
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Section · 01
About this role
About the Role We are looking for a highly skilled
Senior Python AWS Cloud Engineer with strong expertise in
Python, AWS Cloud, REST APIs, and Databricks . The ideal candidate will be responsible for building scalable backend services, developing cloud-native integrations, and enabling
Databricks-to-HBase data integration. This role requires hands-on experience in distributed systems, observability, and multi-tenant architectures while ensuring high availability, scalability, and performance.
Key Responsibilities
- Design, develop, and maintain scalable backend applications using
Python .
- Build, enhance, and maintain
RESTful APIs for platform services and data integration.
- Develop, optimize, and manage
Databricks workloads, notebooks, jobs, and clusters.
- Implement and support
Databricks-to-HBase (HONI Connector) integrations.
- Design and maintain
multi-tenant architectures ensuring secure data isolation and optimal performance.
- Implement observability solutions including
monitoring, dashboards, metrics, logging, and alerting .
- Monitor application and infrastructure health, proactively resolving performance, reliability, and availability issues.
- Collaborate with Data Engineering, Platform Engineering, DevOps, and Cloud teams to deliver scalable solutions.
- Follow AWS best practices for
security, scalability, reliability, and cost optimization .
- Participate in troubleshooting, performance tuning, and production support.
Required Skills
- 7–9+ years of hands-on experience in
Python Backend Development .
- Strong experience with
AWS Cloud services including:
- EC2
- S3
- IAM
- Lambda
- CloudWatch
- Other core AWS services
- Strong experience designing and developing
RESTful APIs .
- Hands-on experience with
Databricks , including:
- Apache Spark
- Notebooks
- Jobs
- Clusters
- Experience integrating
Databricks with HBase or other big data platforms.
- Strong understanding of
distributed systems and large-scale data processing.
- Experience implementing
observability solutions using monitoring, dashboards, metrics, logging, and alerting tools.
- Experience designing and managing
multi-tenant architectures .
- Strong debugging, troubleshooting, and performance optimization skills.
- Excellent problem-solving and communication skills.
Preferred Skills
- Experience with
Apache HBase .
- Knowledge of cloud-native microservices architecture.
- Experience with CI/CD pipelines and DevOps practices.
- Familiarity with infrastructure automation and cloud monitoring tools.
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Section · 02
Skills
Section · Company
About Velodata Global

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