Systems Engineer; TS​/SCI Poly

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 Systems Engineer, a typical day will include the following duties:

JOB DESCRIPTION

We are seeking a hands-on Systems Engineer with deepexpertiseacross infrastructure, platforms, and application ecosystem spanning cloud and on-premises environments. This role requires a proven practitioner who can analyze existing (“as-is”)systems and applications, document current state architectures, design future-state solutions, and implement system enhancements or technology transformations end-to-end.

The ideal candidate is a technical leader andachieverwho can seamlessly collaborate across infrastructure, platform, application,Dev Sec Ops , information systems security, and data teams whilemaintainingownership of system reliability, performance, scalability, and security.

QUALIFICATIONS

• Bachelor’s Degree in Computer Science, IT, or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience

• Minimum ten(10) yearsof relatedsystemsengineering experience

REQUIRED KNOWLEDGE/SKILLS

The candidate mustdemonstratehands-on experience in all the following areas:

Infrastructure & Platforms

• Enterprise networking (e.g.routing, switching, firewalls, load balancers, DNS)

• Storage technologies (e.g.SAN, NAS, object storage)

• Virtualization and container platforms (VMware, Hyper-V, Kubernetes, Docker)

• Windows and Linux (Redhat, CentOS) operating systems (administration, hardening, automation)

• Data platforms (HPCC, Hadoop/Cloudera)

Cloud & On-Prem Technologies

• Cloud platforms (AWS, Azure, and/or GCP)

• Hybrid and on-prem infrastructure design and integration

• Cloud networking, identity, security, and cost optimization

Data & Application Platforms

• Relational and No
  
  SQL databases – relational (e.g., Oracle, PostgreSQL, MySQL, SQL Server) and No
  
  SQL (e.g., MongoDB, Cassandra, DynamoDB, Redis) databases

• Data platforms (HPCC, Hadoop/Cloudera)

• Data pipelines, and ETL frameworks – with ETL pipelines, Airflow, Kafka, Spark, or similar frameworks

• Web services, APIs, and middleware

• Software development lifecycle (SDLC) fundamentals

Engineering & Automation

• Infrastructure as Code – Scripting & Automation:
  Python, Bash, Power Shell, Terraform, Ansible, or Cloud Formation

• Configuration management and scripting (Power Shell, Bash, Python, etc.)

• CI/CD integration with infrastructure and platforms (Jenkins, Git Lab CI/CD, Git Hub Actions,Git Ops)

• Security best practices and system hardening

• Monitoring & Incident Response:
  
  Proficiency with tools like Prometheus, Grafana, Splunk, ELK Stack, Cloud Watch

Architecture & Design

• Ability to create:

• As-is architecture documentation

• To-be architecture and detailed engineering designs

• Implementation and migration plans

DESIRED SKILLS

• Observability and monitoring tools (logging, metrics, tracing)

• Zero Trust and modern security architectures

• Data analytics, AI/ML platform exposure

• Experience supporting regulated or mission-critical environments

• Relevant certifications (cloud, systems, security, or architecture)

• Knowledge of machine learning platforms (Tensor Flow,PyTorch,Sage Maker)

• Familiarity with big data ecosystems (Hadoop, Databricks, Snowflake, Google,Big Query)

• Strong background in ITIL processes and agile…