Systems Analyst III

Cayuse Holdings

Systems Analyst III at Cayuse responsible for designing and supporting secure data and AI platforms. Involves advanced systems analysis, DevOps engineering, and collaboration across teams.

Posted 6/11/2026full-timeAustin • Texas • 🇺🇸 United StatesSeniorLead💰 $108,160 - $153,920 per yearWebsite

Tech Stack

Tools & technologies

AzureCloudETLKubernetesPython

About the role

Key responsibilities & impact

Understands business objectives, operational problems, and strategic goals to translate them into technical requirements and solution designs.
Analyzes user requirements, procedures, and existing problems to automate processing or improve existing computer systems.
Confers with personnel across organizational units to: Analyze current operational procedures and identify pain points.
Learn specific input and output requirements, including: Forms and formats of data input.
Rules for how data is summarized and transformed.
Formats and layouts for reports, dashboards, and other outputs.
Writes detailed descriptions of user needs, functional requirements, program functions, and step-by-step processes required to develop or modify applications, data pipelines, and infrastructure components.
Reviews computer system capabilities, technical specifications, and scheduling limitations to determine feasibility of requested programs or changes within existing environments.
Performs cost/benefit and risk analyses of alternative solutions, including build vs. buy and on-prem vs. cloud-based approaches.
Serves as a Senior DevOps Engineer with expertise in AI integration, Azure cloud platform, and Snowflake administration, responsible for building scalable and secure data and AI pipelines.
Designs, implements, and manages CI/CD pipelines using Azure DevOps and Git to enable automated build, test, and deployment of applications, data pipelines, and infrastructure.
Administers and optimizes Snowflake environments, including: Role-based access control (RBAC) and least-privilege security models. Performance tuning, query optimization, and virtual warehouse management. Capacity planning and cost optimization.
Develops and maintains automation scripts and tools in Python for: Infrastructure provisioning and configuration. Data engineering workloads and ETL/ELT pipelines. Operational tasks, monitoring, and remediation.
Designs and supports containerized workloads using Kubernetes (AKS preferred), including deployment strategies, scaling, and resiliency patterns.
Builds and maintains secure, reliable data pipelines and ETL/ELT processes to move, transform, and integrate data across cloud platforms and services.
Integrates AI/ML capabilities into data platforms and solutions, leveraging appropriate Azure and Snowflake features and services.
Implements and manages monitoring, logging, and observability solutions using Azure Monitor, Log Analytics, and other relevant tools to provide: Centralized logging and traceability. Proactive alerting and incident detection. Security monitoring using audit logs and metrics.
Ensures strong security, governance, and compliance through: Implementation of RBAC and least-privilege access. Configuration of policies, standards, and guardrails. Collaboration with security and compliance stakeholders.
Collaborates with cross-functional teams (architecture, development, data engineering, security, operations) to design and deliver reliable, secure, and high-performing cloud and data solutions.

Requirements

What you’ll need

8+ years of strong experience in DevOps practices and tools, including Azure DevOps, Git, and CI/CD pipelines.
8+ years of hands-on experience with the Microsoft Azure cloud platform, including core compute, storage, networking, and platform services.
8+ years of expertise in Snowflake administration, including: Access control and security (RBAC, least privilege). Performance tuning, query optimization, and warehouse management.
8+ years of proficiency in Python scripting for automation, DevOps, and data engineering tasks.
8+ years of experience with containerization and orchestration technologies (Azure Kubernetes Service (AKS) preferred).
8+ years of experience with data pipelines, ETL/ELT processes, and cloud data integration patterns and tools.
8+ years of demonstrated understanding of AI/ML concepts and platform integration (e.g., integrating AI/ML services into applications and data platforms).
8+ years of experience with Azure Monitoring and Log Analytics, including: Centralized logging, alerting, and dashboarding. Security monitoring using audit logs, metrics, and related telemetry.
8+ years of familiarity with monitoring, logging, and observability tools and practices (e.g., metrics collection, distributed tracing, log aggregation).
Must be able to pass a background check.

Benefits

Comp & perks

Medical, Dental and Vision Insurance
Wellness Program
Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
Short-Term and Long-Term Disability options
Basic Life and AD&D Insurance (Company Provided)
Voluntary Life and AD&D options
401(k) Retirement Savings Plan with matching after one year
Paid Time Off

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

DevOps practicesCI/CD pipelinesAzure DevOpsSnowflake administrationPython scriptingETL processesAI/ML integrationKubernetesdata engineeringcloud data integration

Soft Skills

collaborationproblem-solvinganalytical thinkingcommunicationorganizational skillsstrategic thinkingrisk analysiscost/benefit analysisuser requirements analysiscross-functional teamwork