Janus Soft Inc
Full Stack Software Developer / Cloud Engineer - McLean VA
Janus Soft Inc, Mc Lean, Virginia, us, 22107
Full Stack Developer / Cloud Engineer
Job Description
We are seeking a skilled Cloud Data Engineer with full-stack development experience. The ideal candidate will have extensive experience in cloud infrastructure, ETL processes, database management, and modern web development, with a focus on building and maintaining scalable data solutions.
Primary Job Duties Design and implement cloud-based data solutions Develop and maintain ETL processes and workflows Build and optimize cloud infrastructure and services Create and maintain web applications and interfaces Manage database systems and schemas Implement and maintain CI/CD pipelines Create and maintain technical documentation Support data science and AI initiatives Mandatory Skills and Experience
Cloud & Infrastructure
Strong experience with AWS services (S3, RDS, EC2) Experience with cloud infrastructure provisioning and management Expertise in optimizing cloud-to-on-premises connectivity Proficiency with Terraform for infrastructure as code Database & ETL
Advanced SQL experience (MySQL, PostgreSQL) Experience with database schema design and optimization Proficiency in ETL process development and automation Experience with Apache NiFi workflows Development & Programming
Strong proficiency in:
Python Java SQL/PL-SQL JavaScript HTML5/CSS
Experience with Flask framework Containerization experience (Docker) DevOps & Tools
Version control with Git/GitHub CI/CD pipeline implementation (Jenkins) Issue tracking with Jira Documentation in Confluence Experience with Anaconda and Bash Automated testing and deployment Web Development
Frontend development skills User-centered design principles Web standards and usability Typography and color theory Desired Skills and Experience
Technical
Distributed computing experience AI/ML model deployment optimization Tableau integration with cloud services Experience with parallel processing solutions Domain Knowledge
Computer Science, Engineering, or related field background Experience in analytical mission environments Understanding of data management lifecycles Experience supporting data scientists Knowledge of AI/ML model fine-tuning and transfer learning Soft Skills
Strong problem-solving abilities Excellent coordination and collaboration skills Ability to balance competing priorities Experience working with research analysts Required Technical Stack
Cloud Platforms: AWS (S3, RDS, EC2) Databases: MySQL, PostgreSQL Languages: Python, Java, SQL, PL/SQL, JavaScript Web: HTML5, CSS, Flask DevOps: Git, Jenkins, Docker, Terraform ETL Tools: Apache NiFi Other Tools: Anaconda, Bash, Jira, Confluence
Work Environment
Fast-paced, technology-driven environment focusing on cloud-based solutions and data processing. Position requires strong technical skills, ability to work with various stakeholders, and balance multiple projects simultaneously.
Note: Position emphasizes cloud infrastructure, data engineering, and full-stack development capabilities, with opportunities to work on AI/ML initiatives and complex data processing solutions.
Job Description
We are seeking a skilled Cloud Data Engineer with full-stack development experience. The ideal candidate will have extensive experience in cloud infrastructure, ETL processes, database management, and modern web development, with a focus on building and maintaining scalable data solutions.
Primary Job Duties Design and implement cloud-based data solutions Develop and maintain ETL processes and workflows Build and optimize cloud infrastructure and services Create and maintain web applications and interfaces Manage database systems and schemas Implement and maintain CI/CD pipelines Create and maintain technical documentation Support data science and AI initiatives Mandatory Skills and Experience
Cloud & Infrastructure
Strong experience with AWS services (S3, RDS, EC2) Experience with cloud infrastructure provisioning and management Expertise in optimizing cloud-to-on-premises connectivity Proficiency with Terraform for infrastructure as code Database & ETL
Advanced SQL experience (MySQL, PostgreSQL) Experience with database schema design and optimization Proficiency in ETL process development and automation Experience with Apache NiFi workflows Development & Programming
Strong proficiency in:
Python Java SQL/PL-SQL JavaScript HTML5/CSS
Experience with Flask framework Containerization experience (Docker) DevOps & Tools
Version control with Git/GitHub CI/CD pipeline implementation (Jenkins) Issue tracking with Jira Documentation in Confluence Experience with Anaconda and Bash Automated testing and deployment Web Development
Frontend development skills User-centered design principles Web standards and usability Typography and color theory Desired Skills and Experience
Technical
Distributed computing experience AI/ML model deployment optimization Tableau integration with cloud services Experience with parallel processing solutions Domain Knowledge
Computer Science, Engineering, or related field background Experience in analytical mission environments Understanding of data management lifecycles Experience supporting data scientists Knowledge of AI/ML model fine-tuning and transfer learning Soft Skills
Strong problem-solving abilities Excellent coordination and collaboration skills Ability to balance competing priorities Experience working with research analysts Required Technical Stack
Cloud Platforms: AWS (S3, RDS, EC2) Databases: MySQL, PostgreSQL Languages: Python, Java, SQL, PL/SQL, JavaScript Web: HTML5, CSS, Flask DevOps: Git, Jenkins, Docker, Terraform ETL Tools: Apache NiFi Other Tools: Anaconda, Bash, Jira, Confluence
Work Environment
Fast-paced, technology-driven environment focusing on cloud-based solutions and data processing. Position requires strong technical skills, ability to work with various stakeholders, and balance multiple projects simultaneously.
Note: Position emphasizes cloud infrastructure, data engineering, and full-stack development capabilities, with opportunities to work on AI/ML initiatives and complex data processing solutions.