Datascience platform and Devops Engineer

Data Science Platform & DevOps Engineer

Make your application after reading the following skill and qualification requirements for this position.

Location: Juno Beach, FL

Experience: 8+ Years

Employment Type: Contract

Workplace Type: On-site

Visa: No OPT/CPT/GC/GC EAD.

JOB SUMMARY

We are looking for an experienced Data Science Platform & DevOps Engineer to support the development, deployment, automation, and production operations of data-oriented applications and cloud platforms.

The ideal candidate will have strong hands-on Python development experience along with expertise in GitHub, GitHub Actions, CI/CD, Infrastructure as Code, cloud technologies, automated testing, deployment validation, monitoring, and production support.

KEY RESPONSIBILITIES

• Develop and maintain data-oriented applications using Python, APIs, packages, testing frameworks, and dependency management.

• Build, maintain, and improve CI/CD pipelines using GitHub and GitHub Actions.

• Implement pull-request controls, code-quality practices, and release automation.

• Automate infrastructure provisioning and environment management using Infrastructure-as-Code tools such as AWS CDK, Terraform, CloudFormation, or comparable technologies.

• Integrate analytics applications with cloud storage, databases, query services, semantic layers, and reporting tools.

• Develop and maintain automated testing and deployment validation processes.

• Manage development, test, and production environments.

• Monitor applications and infrastructure and troubleshoot technical and production issues.

• Provide production support and help improve platform reliability, scalability, and performance.

• Create and maintain technical documentation for applications, infrastructure, deployment processes, and operational procedures.

• Collaborate with engineering, data, DevOps, and business stakeholders to deliver reliable solutions.

REQUIRED QUALIFICATIONS

• 5+ years of experience in software engineering, data engineering, data science platforms, or DevOps delivery.

• Strong hands-on Python development experience.

• Experience with data-oriented applications, APIs, Python packages, testing frameworks, and dependency management.

• Hands-on experience with GitHub and GitHub Actions.

• Strong experience with CI/CD pipelines, pull-request controls, and release automation.

• Experience with AWS CDK, Terraform, CloudFormation, or comparable Infrastructure-as-Code tools.

• Experience integrating analytics applications with cloud storage, databases, query services, semantic layers, or reporting tools.

• Experience with automated testing, deployment validation, environment management, monitoring, and production support.

• Strong troubleshooting and problem-solving skills.

• Excellent communication and technical documentation skills. xhyhwjd

• Strong stakeholder collaboration skills.

PREFERRED SKILLS

• AWS cloud platform experience

• Data engineering or data science platform experience

• Cloud infrastructure automation

• DevOps and CI/CD best practices

• Production application support

• Monitoring and observability

• Automated testing and deployment

• Experience working in Agile environments

KEY TECHNOLOGIES

Python | GitHub | GitHub Actions | CI/CD | AWS | AWS CDK | Terraform | CloudFormation | Infrastructure as Code | APIs | Data Engineering | Data Science Platforms | Automated Testing | Cloud Storage | Databases | Monitoring | Production Support