Senior Cloud DevOps Engineer — Cyber Data Pipelines

CACI International; San Antonio (TX); On-site; USD 86,000 - 180,000; Full time

Job summary

CACI International is seeking a Senior Cloud DevOps Engineer to lead cloud architecture and data pipeline development across ACAS, Elastic, and Splunk platforms. You will design ETL/ELT processes, integrate diverse data sources, and implement automation to ensure secure, scalable data environments.

The role requires 7+ years in cloud and data engineering, strong scripting skills, and experience in secure, government-grade networks.

Qualifications

• Bachelor’s degree and 7+ years of experience in cloud computing, data engineering, integration, and ETL pipeline development.
• Proven experience with ACAS (Tenable/Nessus), data visualization tools (Elasticsearch, Logstash, Kibana, Splunk), and IT asset management tools.
• Strong proficiency in Python, PowerShell, or Bash for data manipulation and automation.

Responsibilities

• Architect cloud environments within classified CSP regions and deploy/manage CSP services, resources, and applications using IaC and automation tools.
• Design, develop, and maintain ETL/ELT pipelines for ingesting and transforming data into ACAS, Elastic, and Splunk deployments.
• Integrate diverse data sources into centralized analytics environments and manage data workflows with quality checks and enrichment.

Skills

Python

PowerShell

Bash

APIs

Log ingestion

Elasticsearch

Kibana

Splunk

ACAS

Terraform

CloudFormation

Ansible

SQL

Education

Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field

Tools

ACAS (Tenable/Nessus)

Elasticsearch

Logstash

Kibana

Splunk

Terraform

CloudFormation

Ansible

Job description

CACI International is seeking a Senior Cloud DevOps Engineer to lead cloud architecture and data pipeline development across ACAS, Elastic, and Splunk platforms. You will design ETL/ELT processes, integrate diverse data sources, and implement automation to ensure secure, scalable data environments.

The role requires 7+ years in cloud and data engineering, strong scripting skills, and experience in secure, government-grade networks.