GCI, embodies excellence, integrity and professionalism. The employees supporting our customers deliver unique, high-value mission solutions while effectively leverage the technological expertise of our valued workforce to meet critical mission requirements in the areas of Data Analytics and Software Development, Engineering, Targeting and Analysis, Operations, Training, and Cyber Operations.
We maximize opportunities for success by building and maintaining trusted and reliable partnerships with our customers and industry.
At GCI, we solve the hard problems. As a Software Engineer - Analytics, a typical day will include the following duties :
JOB DESCRIPTION
The Software Engineer will design, develop, code, test, and debug complex software products, or make significant enhancements to existing software.
The ideal candidate is a hands-on platform builder with significant experience in developing scalable data platforms, with experience in business intelligence, analytics, data science and data products.
They must have strong, firsthand technical expertise in a variety of configuration management and big data technologies and the proven ability to fashion robust scalable solutions that can manage large data sets.
They must be at ease working in an Agile environment with little supervision. This person should embody a passion for continuous improvement and innovation.
This engineer will assume wide-ranging projects regarding ETL, migration of processes and services from on-premises to cloud environments, Artificial Intelligence / Machine Learning (AI / ML), machine translation, and similar efforts.
QUALIFICATIONS
- Bachelor’s Degree in Computer Science, Electrical or Computer Engineering or a related technical discipline, or the equivalent combination of education, technical training, or work / military experience
- Minimum eight (8) years of related software development experience
REQUIRED KNOWLEDGE / SKILLS
- Hands-on development experience and facility with Python, C#, and Java
- Experience in AI / ML technology and development
- Experience in cloud technology and development
- Experience with Scrum / Agile development methodologies
DESIRED KNOWLEDGE / SKILLS
- Facility with .net environments
- Hands-on experience with data formats including XML, PCAP, images, and media
- Facility with Tika
- Hands-on experience working with Hadoop, Hive, Pig, Map Reduce, Spark, Rabbit MQ, Kafka, Flume
- DevOps experience building and deploying cloud infrastructure with technologies like Ansible, Chef, Puppet, etc.
- Experience with test-driven development and automated testing frameworks
- Capable of delivering on multiple competing priorities with little supervision
- Excellent verbal and written communication skills
- Familiarity with the following software / tools :
- Infrastructure automation technologies like Docker, Vagrant, etc.
- Build automation technologies like Maven, Jenkins, etc.
- Monitoring technologies like Nagios, Ganglia, etc.
- Building APIs and services using REST, SOAP, etc.
- Elasticsearch and relational databases
- Oracle databases
KEY RESPONSIBILITIES
- Analyze, design and develop tests and test-automation suites
- Design and develop a processing platform using various configuration management technologies
- Test software development methodology in an Agile environment
- Provide ongoing maintenance, support and enhancements in existing systems and platforms
- Collaborate cross-functionally with data scientists, analyst, project managers and other engineers
- Troubleshoots complex problems and provides customer support for software systems and application issues
- Provide recommendations for continuous improvement
- Work alongside other engineers on the team to sustain and advance our organization’s capabilities
The likely salary range for this position is $116,979.20 - $195,374.40. This is not, however, a guarantee of compensation or salary.
Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.