Cloud Systems Analyst

Pedigo Staffing Services; Austin (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

Pedigo Staffing Services seeks a Cloud Systems Analyst to support Texas Health and Human Services. This role requires substantial expertise in DevOps practices, Microsoft Azure, and Snowflake administration. Candidates must have at least 8 years of related experience and exceptional problem-solving skills.

The position allows for 3 days remote work, with Tuesday and Thursday mandatory onsite presence in Austin. Responsibilities include building scalable data pipelines and providing end-to-end DevOps support in collaboration with cross-functional teams.

Qualifications

• 8 or more years of experience in related fields is required.
• Hands-on experience in cloud data integration and AI-enabled data platforms.
• Strong problem-solving skills and attention to detail are essential.

Responsibilities

• Understand business objectives and perform cost/benefit analysis.
• Analyze user requirements to automate and improve existing systems.
• Provide end-to-end DevOps support and build scalable data pipelines.

Skills

DevOps practices and tools (Azure DevOps, Git, CI/CD pipelines)

Microsoft Azure cloud platform

Snowflake administration

Python scripting for automation

Containerization and orchestration (AKS)

Data pipelines and ETL processes

AI/ML concepts

Azure Monitoring and Log Analytics

Monitoring, logging, and observability tools

Job description

Title: Cloud Systems Analyst

Agency: Texas Health and Human Services Commission

Solicitation: 529701739

Location: 701 W. 51st St., Austin, Texas 78751

Telework Policy: Position will be 3 days remote with 2 days (Mon & Wed) required to be onsite. Only candidates LOCAL TO THE AUSTIN AREA (within 50-mile radius) are considered.

Duration: On-going, no ending date

Visa: Must be US Citizen, Green Card, or EAD. No H1B.

Requirements / Preferences

• 8 years, Required – Strong experience in DevOps practices and tools (Azure DevOps, Git, CI/CD pipelines)
• 8 years, Required – Hands‑on experience with Microsoft Azure cloud platform
• 8 years, Required – Expertise in Snowflake administration (access control, security, performance tuning, warehouse management)
• 8 years, Required – Proficiency in Python scripting for automation and data engineering tasks
• 8 years, Required – Experience with containerization and orchestration (AKS preferred)
• 8 years, Required – Knowledge of data pipelines, ETL processes, and cloud data integration
• 8 years, Required – Understanding of AI/ML concepts and platform integration
• 8 years, Required – Experience with Azure Monitoring and Log Analytics, including centralized logging, alerting, dashboarding, and security monitoring via audit logs and metrics
• 8 years, Required – Familiarity with monitoring, logging, and observability tools
• 3 years, Preferred – Experience implementing AI‑enabled data platforms (e.g., Snowflake Cortex / ML pipelines)
• 3 years, Preferred – Experience with Infrastructure as Code
• 3 years, Preferred – Knowledge of data security, compliance, and governance frameworks
• 3 years, Preferred – Prior experience in public sector or large enterprise environments
• 2 years, Preferred – Strong problem‑solving and analytical skills
• 2 years, Preferred – Ability to manage multiple priorities in a fast‑paced environment
• 2 years, Preferred – Attention to detail and commitment to best practices
• 2 years, Preferred – Exposure to Snowflake AI / Cortex features

8 or more years of experience in related fields is required. Candidates should be able to plan and accomplish goals independently, handle a wide degree of creativity and latitude, and leverage experience and judgment in complex tasks.

Responsibilities & Expectations

• Understand business objectives and problems, identify alternative solutions, and perform cost/benefit analysis of alternatives.
• Analyze user requirements, procedures, and problems to automate processing or improve existing computer systems.
• Confer with personnel in organizational units to analyze current operational procedures, identify problems, and define input/output requirements for data processing.
• Write detailed descriptions of user needs, program functions, and development steps; review system capabilities, specifications, and scheduling constraints to assess feasibility.
• Senior DevOps Engineer with expertise in AI integration, Azure cloud platform, and Snowflake administration, responsible for building scalable and secure data and AI pipelines.
• Strong experience in CI/CD, automation using Python, and cloud infrastructure to ensure efficient deployment, monitoring, and performance optimization.
• Provide end‑to‑end DevOps support, including security, governance (RBAC), and collaboration with cross‑functional teams to deliver reliable cloud and data solutions.