Senior Cloud DevOps Engineer
- Compensation
- Not disclosed
- Location
- San Antonio, TX, US
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Contract
- Experience
- 7+ years
- Category
- Devops
- Posted
Skills
Must have
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
- 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 da
- Hands-on experience with APIs, data connectors, and log ingestion frameworks. Familiarity with SQL and NoSQL databases.
- Experience working in secure, enterprise, or government network environments.
- Strong understanding of data security, access control, and encryption principles. Excellent analytical, troubleshooting, and communication skills.
Nice to have
- Experience with cloud data integration (AWS, Azure, or GCP).
- Knowledge of cybersecurity frameworks and vulnerability management processes.
- Experience with data orchestration and visualization tools.
- Relevant certifications (e.g., Splunk Certified Architect, Elastic Certified Engineer, or Tenable ACAS certification).
- Experience with Linux configuration management, system administration, and troubleshooting
Full description
Job Title: Senior Cloud DevOps Engineer
Job Category: Information Technology
Time Type: Full time
Minimum Clearance Required to Start: TS/SCI
Employee Type: Regular
Percentage of Travel Required: None
Type of Travel: None
- * *
The Opportunity:
Join a dynamic cybersecurity and data analytics team responsible for building and maintaining mission-critical data pipelines.
Lead efforts to integrate vulnerability, event, and log data across ACAS, Elastic, and Splunk platforms.
Support large-scale data environments that power real-time insights and automated security analytics.
Collaborate with cross-functional teams to optimize data ingestion, storage, and visualization for operational efficiency.
Contribute to data governance, standardization, and automation initiatives to strengthen organizational cybersecurity posture
Responsibilities:
- Architect cloud environments within classified CSP regions and deploy/manage CSP services, resources, and applications using infrastructure-as-code and automation tools such as Terraform, CloudFormation, and Ansible.
- Design, develop, and maintain ETL/ELT pipelines for ingesting and transforming data pipelines into ACAS, Elastic, and Splunk deployments within a cloud environment.
- Integrate diverse data sources (network sensors, security tools, and log aggregators) into centralized analytics environments.
- Manage data workflows, ensuring accuracy, consistency, and compliance with data management policies.
- Implement data quality checks, normalization, and enrichment processes to enhance analytical outcomes.
- Collaborate with cybersecurity teams to translate analytical requirements into scalable data solutions.
- Optimize data ingestion performance and automate recurring data management tasks using scripting or orchestration tools.
- Monitor, troubleshoot, and resolve data pipeline and integration issues across platforms.
- Maintain data schemas, metadata, and documentation for cross-team visibility.
- Ensure compliance with data security and privacy standards in all engineering processes.
- Contribute to the development of dashboards, visualizations, and reporting solutions powered by Elastic and Splunk
Qualifications:
Required:
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
- 7+ years of experience in cloud computing, data engineering, integration, and ETL pipeline development.