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 / Platform Engineer, a typical day will include the following duties:
JOB DESCRIPTION
The Software / Platform Engineer will design and develop scalable data and AI infrastructure platforms, or make significant enhancements to existing platforms. The ideal candidate is a hands-on engineer with significant experience in building cloud-native data platforms on AWS, with AI/ML infrastructure, business intelligence, analytics, and data products. They must have strong, firsthand technical expertise in big data technologies, AI tooling, and the proven ability to fashion robust solutions that can manage large data sets and AI workloads. They must be at ease working in an Agile environment with little supervision. This person should embody a passion for continuous improvement and innovation.
KEY RESPONSIBILITIES
- Design and develop cloud-native data and AI infrastructure platforms on AWS using Infrastructure-as-Code and configuration management technologies
- Build and maintain MLOps pipelines and infrastructure for AI/ML workloads, LLM applications, and vector search capabilities
- Provide ongoing maintenance, support, and enhancements in existing systems and platforms
- Troubleshoot complex problems and provide support for platform and infrastructure issues
- Provide recommendations for continuous improvement and integration of emerging AI technologies
- Work alongside data engineers, ML engineers, and software developers to sustain and advance our organization’s capabilities
EDUCATION AND EXPERIENCE
- 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.
- 8+ years of related software development experience.
REQUIRED QUALIFICATIONS
- Hands-on experience with modern programming languages including Python or JavaScript
- Hands-on experience working with Elasticsearch, MongoDB, Docker, Kubernetes, RabbitMQ, and NiFi
- Strong AWS experience with services including EC2, EKS, S3, Lambda, SageMaker, Bedrock, EMR, and IAM
- DevOps experience building and deploying cloud infrastructure with technologies like Terraform, CloudFormation, Ansible, etc.
- Experience with build automation technologies like, Jenkins, Github actions, etc.
- Experience with Linux
DESIRED QUALIFICATIONS
- We are looking for a candidate with hands-on experience and is familiar with one or more of the following software/tools:
- Experience with monitoring technologies like ELK, Prometheus, Grafana, CloudWatch, etc.
- Experience with AI/ML infrastructure including MLOps pipelines, vector databases, model deployment, and integration with LLM platforms
- Experience with AI development tools and integrating AI-assisted development capabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Skills Required
- Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, or a related technical discipline, or equivalent education, training, or work/military experience
- 8+ years of related software development experience
- Hands-on experience with Python or JavaScript
- Hands-on experience with Elasticsearch, MongoDB, Docker, Kubernetes, RabbitMQ, and NiFi
- Strong AWS experience with EC2, EKS, S3, Lambda, SageMaker, Bedrock, EMR, and IAM
- DevOps experience building and deploying cloud infrastructure with Terraform, CloudFormation, Ansible, or similar technologies
- Experience with build automation technologies such as Jenkins or GitHub Actions
- Experience with Linux
- Experience with monitoring technologies such as ELK, Prometheus, Grafana, or CloudWatch
- Experience with AI/ML infrastructure, MLOps pipelines, vector databases, model deployment, and LLM platform integration
- Experience with AI development tools and AI-assisted development capabilities
What We Do
GCI is an Engineering and IT Services company focusing on Data Analytics, Engineering, Cyber Operations, Targeting and Analysis, Operations Solutions and Training. We help our customers solve their greatest challenges by providing exceptional consulting and mission solutions.
