DevOps Engineer

Overview

VTG is seeking a talented and experienced DevOps Engineer to serve as an integrator between business needs and technical solutions. Must be able to work creatively and efficiently to solve difficult technical problems.

What will you do?

• Essential qualifications include hands-on experience with Amazon Web Services (AWS), demonstrating proficiency in cloud infrastructure. Expertise in containerization technologies (e.g., Docker) and orchestration platforms (e.g., Kubernetes) is also a mandatory requirement, alongside a solid understanding and practical application of infrastructure as code principles and tools (e.g., Terraform, CloudFormation).
• An understanding of data processing concepts and experience with Extract, Transform, Load (ETL) systems is desired. Additionally, some proficiency with Python code is beneficial for this role.
• The candidate must also be well-versed in Agile development methodologies and have demonstrable experience working within an Agile lifecycle, including participation in sprints, stand-ups, and other Agile ceremonies.

Do you have what it takes?

• Active TS/SCI with Polygraph required.
• Master’s degree in Computer Science, Information Systems, Engineering, or additional years of specialized experience in a scientific or technical discipline.
• Eight (8) years of experience.
• Proven experience working with DevOps tools including Docker, Kubernetes, and Terraform.
• Demonstrated experience developing micro-services on AWS platform services such as Lambdas, ECS, S3, EC2, EKS, etc.
• Experience using RESTful APIs or software development in a cloud environment.
• Demonstrated experience in software quality process/assurance including automation testing, unit/integration testing, design/code review, code profiling and software CI/CD pipelines.
• Experience using project management and collaboration tools, e.g. Jira and Confluence.

Desired Skills:

• Experience writing Python code.
• Understanding/familiarity with the data ETL lifecycle and maintenance of ETL systems.
• Excellent communication and collaboration skills.

Mid-Level:

• Bachelor's Degree and 5 years of experience or a Master's Degree and 3 years of experience.

Senior-Level:

• Master's Degree and 8 years of experience (additional experience will be considered in lieu of degree)

This position is open for current and future DevOps Engineer roles.

• Active TS/SCI with Polygraph required.
• Master’s degree in Computer Science, Information Systems, Engineering, or additional years of specialized experience in a scientific or technical discipline.
• Eight (8) years of experience.
• Proven experience working with DevOps tools including Docker, Kubernetes, and Terraform.
• Demonstrated experience developing micro-services on AWS platform services such as Lambdas, ECS, S3, EC2, EKS, etc.
• Experience using RESTful APIs or software development in a cloud environment.
• Demonstrated experience in software quality process/assurance including automation testing, unit/integration testing, design/code review, code profiling and software CI/CD pipelines.
• Experience using project management and collaboration tools, e.g. Jira and Confluence.

Desired Skills:

• Experience writing Python code.
• Understanding/familiarity with the data ETL lifecycle and maintenance of ETL systems.
• Excellent communication and collaboration skills.

Mid-Level:

• Bachelor's Degree and 5 years of experience or a Master's Degree and 3 years of experience.

Senior-Level:

• Master's Degree and 8 years of experience (additional experience will be considered in lieu of degree)

This position is open for current and future DevOps Engineer roles.

• Essential qualifications include hands-on experience with Amazon Web Services (AWS), demonstrating proficiency in cloud infrastructure. Expertise in containerization technologies (e.g., Docker) and orchestration platforms (e.g., Kubernetes) is also a mandatory requirement, alongside a solid understanding and practical application of infrastructure as code principles and tools (e.g., Terraform, CloudFormation).
• An understanding of data processing concepts and experience with Extract, Transform, Load (ETL) systems is desired. Additionally, some proficiency with Python code is beneficial for this role.
• The candidate must also be well-versed in Agile development methodologies and have demonstrable experience working within an Agile lifecycle, including participation in sprints, stand-ups, and other Agile ceremonies.