Bachelor's Degree in Computer Science, Electrical or Computer Engineering, or related field, or equivalent experience
8+ years of software development experience
Hands-on experience with Python or JavaScript
Proficient with Elasticsearch, MongoDB, Docker, Kubernetes, RabbitMQ, and NiFi
Strong AWS experience with services like EC2, EKS, S3, Lambda, SageMaker, and EMR
DevOps experience with Terraform, CloudFormation, and Ansible
Familiarity with Linux
Responsibilities
Design and develop cloud-native data and AI infrastructure platforms on AWS
Build and maintain MLOps pipelines for AI/ML workloads and vector search capabilities
Provide ongoing maintenance and enhancements for existing systems
Troubleshoot complex platform and infrastructure issues
Recommend continuous improvements and integration of emerging AI technologies
Collaborate with data engineers, ML engineers, and software developers
Benefits
Opportunity to work on cutting-edge AI and data technologies
Collaborative Agile work environment
Focus on continuous improvement and innovation
Hands-on experience with a variety of modern tools and platforms
Potential for professional growth in a rapidly evolving field
Full Job Description
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
