Systems Engineer/Developer

Overview

Byte Systems, a subsidiary of VTG, is seeking a Systems Engineer in Chantilly, Tyson's Corner or Warrenton, VA. The Systems Engineer will develop, build, deploy, manage, and administer cloud software and infrastructure designed to deliver complex software products in a production environment. The ideal candidate is a hands-on Cloud engineering professional with significant experience in developing and deploying repeatable processes, tools, and cloud infrastructure that enable the delivery of software in and on-demand cadence. They must have strong, firsthand technical expertise in a variety of configuration automation, deployment, and continuous integration technologies and the proven ability to fashion robust solutions that can keep pace with software development. What will you do?

As a member of the Infrastructure Team, this candidate will assist in the assessment, development, implementation, monitoring, and maintenance of systems tailored for rapid data processing on disparate data sets. Activities include but are not limited to:

Assess, develop, or enhance system capabilities to meet new or evolving requirements

Manage day to day operations of systems by monitoring system performance, configuration, maintenance, and repair

Assist application teams with creation, configuration, integration, and management of Linux systems and platforms

Perform initial troubleshooting of issues and work with other teams, as necessary, to efficiently resolve issues

Document and provide regular updates on project status through established team communication tools

Provide system accreditation support to include security configurations, system scanning, and audits

Work across internal and external government organizations to develop, implement, debug, monitor, and support complex data processing capabilities. This requires the use of internal and external enterprise tools for analysis and authorizations

Design, develop, test, debug, and deploy new cloud software and infrastructure that extend or replace existing capabilities

Work with a team to build, administer, and secure cloud environments, including hybrid environments, in a repeatable and reliable manner

Collaborate with cross-functional team of software engineers, data scientists, analysts, project managers, and other engineering groups

Provide ongoing maintenance, support, and enhancements introductions systems and platforms

Provide recommendations for continuous improvement

Write and update technical documentation such as system documentation, training materials, processes and procedures

Work alongside other engineers on the team to sustain and advance our organization's capabilities Do you have what it takes?

Active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance, with polygraph.

Bachelor's Degree in Computer Science, Information Technology, or other related technical discipline, or the equivalent combination of education, technical training, or work/military experience

Minimum five (5) years of related Systems and Linux Engineering experience

Experience securing cloud environments and supporting customer accreditation for highly sensitive systems

Experience working on large projects involving multiple IC organization

Experience working with multiple large data flows and analyzing data failure conditions

Experience deploying code in AWS utilizing solutions such as Terraform, Ansible, and CloudFormation

Extensive experience as a Linux Systems Administrator, preferably RHEL/CentOS (installation, configuration, upgrades, troubleshooting)

Prior experience with one or more scripting tools: Shell, Perl/CGI, Python, Ruby

Strong analytical and problem-solving skills

Strong analytical and problem-solving skills

Ability to communicate technical information both orally and written

Desired Skills:

Demonstrated experience developing and scaling applications written in Java, Python, or other programming languages with Cloud Native technologies

AWS Certification: Solutions Architect Professional or equivalent

Demonstrated experience with cloud technologies used with ETL and big data pipelines such as Glue, EMR, HIVE, Spark, S3, SQS, and SNS

Demonstrated experience with Kubernetes or EKS

Demonstrated experience using the AWS CDK

Prior experience with SQL querying of relational database, such as MySQL, and noSQL databases such as Elasticsearch

Prior experience setting up Docker clusters using Swarm and or Kubernetes

Prior experience with git for Infrastructure code management

Demonstrated hands on experience configuring cloud VPCs, subnets, route tables, and gateways

Experience working with cloud native technologies, Infrastructure as Code (IAC), and/or Serverless cloud technologies