Cloud Engineer (Elastic) (TS/SCI with Poly Required)

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 Cloud Engineer (Elastic), a typical day will include the following duties:

JOB DESCRIPTION

The Cloud Engineer will architect, build, manage, maintain, and monitor a robust cloud environment including design, develop, configure, support, and maintain Elasticsearch clusters and support the development teams around the Elastic ecosystem. The ideal candidate is a hands-on DevOps engineer with significant experience in developing and deploying capabilities to the cloud and proactive platform builder with significant experience in developing scalable data platforms, and familiar with business intelligence, analytics, data science and data products. 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 mission. They must have strong, firsthand technical expertise with Elasticsearch deployments, configurations, and management to support big data. They must be at ease working in an agile environment with a cross-functional team. This person should embody a passion for continuous improvement and innovation. In this role, the candidate will deliver containerized applications and services, enhance CI/CD pipelines, orchestrate and monitor workloads, and troubleshoot across Dev, Test, and Prod environments.


QUALIFICATIONS

• Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or other related technical discipline, or equivalent combination of education, technical certifications, training, and work/military experience
• At least eight (8) years of related Elasticsearch experience

REQUIRED QUALIFICATIONS

• Demonstrated experience with cloud platforms like AWS, GCP, or Azure and their associated services
• Proficiency in scripting languages including Python, Bash, and configuration formats like JSON and YAML
• Demonstrated experience with deploying Kubernetes within an on-prem or cloud-based
  environment
• Proficiency in utilizing Helm or other automated Kubernetes deployment methods
• Sound knowledge of Linux OS and demonstrated hands-on experience with Linux-based systems and shell scripting
• Understanding of PKI, TLS, and X.509 Authentication
• Demonstrated experience with infrastructure-as-code environments, large-scale software
  deployments, and/or monitoring and testing, such as continuous integration and continuous delivery (CI/CD)
• Demonstrated hands-on experience building and deploying Elastic Stack infrastructure
• Demonstrated hands-on experience with software design as it relates to Elasticsearch deployments and distributed computing/system architecture
• Experience troubleshooting Elasticsearch cluster and query performance issues to include working on query optimization with developers and tracing logs to track issues/errors
• Demonstrated hands-on experience with Linux-based systems, bash scripting, and working from the command line
• Demonstrated hands-on experience with build automation technologies like Git, Ansible, Chef, Puppet, etc.
• Demonstrated hands-on experience working with Docker and Kubernetes

DESIRED QUALIFICATIONS

• Knowledge of monitoring and logging tools like Prometheus, ElasticSearch, Logstash, and Kibana
• Understanding of GitOps principles and tools like Flux and ArgoCD
• Experience in managing and troubleshooting GPU-based workloads including CUDA
• Familiarity with popular Machine Learning Frameworks like TensorFlow, PyTorch, and ONNX
• Demonstrated hands-on experience in programming and software development using Python
• Familiarity with authentication protocols such as OAuth and Keycloak
• Knowledge of container security technologies, such as Claire, Anchore, Rapid7, and/or
  NeuVector
• Knowledge of container registry technologies, such as Harbor, ECR, DockerHub, etc.
• Hands-on experience working with large SQL or NOSQL database clusters such as Elasticsearch
• Experience with designing data models, architecting data systems, and standing up or supporting large data platforms
• Familiarity with ETL pipelines and how to interface with data stores and API endpoints
• Demonstrated hands-on experience with monitoring technologies like ELK, Prometheus, Grafana, etc.
• Experience with Scrum/Agile development methodologies

KEY RESPONSIBILITIES

• Work with a team to build, automate, and deploy Kubernetes workloads like containerized AI/ML solutions, data processing tools, and software applications to support mission critical applications
• Stand up and/or work with the necessary tooling for a robust CI/CD pipeline, to include: Helm, Kubernetes, Harbor, Nexus, and Terraform/Ansible
• Design, develop, test, debug, and deploy Elasticsearch clusters and architecture to support large data ingest, processing, and retrieval
• Work with automation tools for a robust CI/CD pipeline, to include: Git, Ansible, and Kubernetes
• Provide ongoing maintenance, support and enhancements in existing Elastic systems and platforms
• Provide guidance and direction to engineering teams related to best practices for utilizing Elasticsearch, indexing, re-indexing, and developing with an Elastic backend
• Write and update technical documentation such as system documentation, processes, and procedures for interacting with Elastic stack components and data
• Collaborate cross-functionally with systems engineers, software engineers, data scientists, analysts, project managers and other engineering groups
• Troubleshoot complex problems and provide customer support for software systems and application issues
• Write and update technical documentation such as system documentation, training materials, processes and procedures
• Collaborate cross-functionally with systems engineers, software engineers, data scientists,
  analyst, project managers and other engineering groups
• Troubleshoot complex problems and provide customer support for software systems and
  application issues

A candidate must be a US Citizen and requires an active/current TS/SCI with Polygraph clearance.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans