Senior Cloud Software Engineer

Baltimore, MD - USA

Monthly Salary: Not Disclosed

Posted on: 1 hour ago

Vacancies: 1 Vacancy

Job Summary

Job Summary

This role focuses on designing building and optimizing cloud-native and hybrid software solutions that support large-scale scientific data processing workflows and archival systems. The position plays a critical role in enabling researchers worldwide to efficiently access analyze and manage complex datasets generated by major space science missions.

The role requires deep expertise in Python development ETL pipeline design and cloud infrastructure. You will work closely with scientists and engineers to deliver scalable secure and reliable systems that integrate cloud and on-premises environments while supporting mission-critical data operations.

Key Responsibilities

Design develop and maintain cloud-native applications and hybrid architectures for large-scale data processing and archival systems
Build and optimize ETL data pipelines using Python and workflow orchestration tools
Integrate applications with relational databases for high-performance data storage and retrieval
Develop and manage cloud infrastructure using Infrastructure as Code tools
Build and maintain CI/CD pipelines to support automated testing and deployment
Ensure system security reliability and compliance with organizational standards and best practices
Collaborate with scientists and engineers to gather requirements and deliver scalable maintainable solutions
Troubleshoot and resolve complex issues in development and production environments

Required Qualifications

Bachelors degree in Computer Science Engineering or a related field
8 years of experience in cloud software development
Strong proficiency in Python and SQL for application development and data processing
Experience with cloud platforms and services including compute storage and messaging components
Experience working with relational databases such as PostgreSQL or MSSQL
Experience designing and managing data pipelines and workflow orchestration systems
Experience with containerization and orchestration technologies
Hands-on experience with CI/CD tools and automated deployment workflows
Strong problem-solving skills and ability to work effectively in a collaborative team environment

Preferred Qualifications

Experience with additional programming languages such as Java or
Advanced database skills including performance tuning and optimization
Familiarity with streaming or messaging technologies
Experience with Infrastructure as Code tools
Background working with scientific research or large-scale distributed data systems

Job Summary This role focuses on designing building and optimizing cloud-native and hybrid software solutions that support large-scale scientific data processing workflows and archival systems. The position plays a critical role in enabling researchers worldwide to efficiently access analyze and man...

Job Summary

Key Responsibilities

Design develop and maintain cloud-native applications and hybrid architectures for large-scale data processing and archival systems
Build and optimize ETL data pipelines using Python and workflow orchestration tools
Integrate applications with relational databases for high-performance data storage and retrieval
Develop and manage cloud infrastructure using Infrastructure as Code tools
Build and maintain CI/CD pipelines to support automated testing and deployment
Ensure system security reliability and compliance with organizational standards and best practices
Collaborate with scientists and engineers to gather requirements and deliver scalable maintainable solutions
Troubleshoot and resolve complex issues in development and production environments

Required Qualifications

Bachelors degree in Computer Science Engineering or a related field
8 years of experience in cloud software development
Strong proficiency in Python and SQL for application development and data processing
Experience with cloud platforms and services including compute storage and messaging components
Experience working with relational databases such as PostgreSQL or MSSQL
Experience designing and managing data pipelines and workflow orchestration systems
Experience with containerization and orchestration technologies
Hands-on experience with CI/CD tools and automated deployment workflows
Strong problem-solving skills and ability to work effectively in a collaborative team environment

Preferred Qualifications

Experience with additional programming languages such as Java or
Advanced database skills including performance tuning and optimization
Familiarity with streaming or messaging technologies
Experience with Infrastructure as Code tools
Background working with scientific research or large-scale distributed data systems