Cloud / Data Science Engineer

Twosix TechnologiesHerndon, VA
63d

About The Position

At Two Six Technologies, we build, deploy, and implement innovative products that solve the world's most complex challenges today. Through unrivaled collaboration and unwavering trust, we push the boundaries of what's possible to empower our team and support our customers in building a safer global future. Overview of Opportunity Two Six is looking for a highly skilled Cloud Engineer with a strong focus on enabling data science solutions for partner applications. In this role, you will architect, build, and maintain cloud infrastructure to support data scientists and analysts that rely on scalable, secure, and performant solutions. This position requires expertise in cloud infrastructure as well as extensive knowledge in data platforms.

Requirements

  • Bachelor's degree in computer science or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience
  • 10+ years of experience in cloud engineering
  • Experience in data science tools and methodologies
  • Hands-on experience with AWS cloud provider
  • Experience with DevOps tools and utilities to include Github, Ansible & CDK
  • Ability to work effectively in a Linux-based development environment
  • Excellent problem-solving skills, with the ability to work effectively in a team environment
  • Familiarity with containers and orchestration (e.g., Docker, Kubernetes)
  • Proficient in at least one scripting language
  • Strong understanding of cloud security
  • Active TS/SCI with Polygraph

Nice To Haves

  • Understanding of data lake and data warehouse architecture
  • Experience deploying and managing ML models as well as the ML lifecycle
  • Hands-on experience with multiple cloud providers such as [AWS, Azure, or GCP]
  • Familiarity with CI/CD pipelines and automation tools
  • In-depth knowledge of sever less architectures
  • Hands on experience with python
  • Knowledge of containerization

Responsibilities

  • Design, build, and maintain scalable AWS infrastructure for data science and analytics workflows
  • Support CI/CD pipelines and automated deployment processes to include writing and maintaining automation scripts
  • Support and optimize AWS services
  • Collaborate with data scientists and engineers to ensure the infrastructure supports production models
  • Collaborate with cloud engineers and our DevOps team to maintain secure and scalable cloud infrastructure
  • Develop infrastructure-as-code (IaC) using tools like Terraform and CloudFormation

Benefits

  • medical, dental, and vision insurance, life and disability insurance, retirement benefits, paid leave, tuition assistance and professional development

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Industry

Professional, Scientific, and Technical Services

Number of Employees

501-1,000 employees

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