Senior DevOps Engineer
Allied Consultants (Texas)
Overview Allied Consultants, Inc is a proudly Austin based firm with over 34 years of experience delivering top-tier technical and business professionals within Texas State Agencies. We are currently seeking an experience Senior DevOps Engineer to play a key role within a high-impact technical services team. At Allied Consultants, we value our consultants and are committed to providing an exceptional experience including:
Candidates selected for interviews will be subject to a criminal background check and may be required to pass a drug screening, in compliance with federal and state regulations. All offers of employment are contingent upon successful completion of these checks. Allied Consultants is a proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Responsibilities 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, ensuring efficient deployment, monitoring, and performance optimization. Provides end-to-end DevOps support, including security, governance (RBAC), and collaboration with cross-functional teams to deliver reliable cloud and data solutions. 8 or more years of experience, relies on experience and judgment to plan and accomplish goals, independently performs a variety of complicated tasks, a wide degree of creativity and latitude is expected. Understands business objectives and problems, identifies alternative solutions, performs studies and cost/benefit analysis of alternatives. Analyzes user requirements, procedures, and problems to automate processing or to improve existing computer system: Confers with personnel of organizational units involved to analyze current operational procedures, identify problems, and learn specific input and output requirements, such as forms of data input, how data is to be; summarized, and formats for reports. Writes detailed description of user needs, program functions, and steps required to develop or modify computer program. Reviews computer system capabilities, specifications, and scheduling limitations to determine if requested program or program change is possible within existing system. Qualifications Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity. Years Required/Preferred Experience 8 Required Strong experience in DevOps practices and tools (Azure DevOps, Git, CI/CD pipelines) 8 Required Hands-on experience with Microsoft Azure cloud platform 8 Required Expertise in Snowflake administration including: Access control and security (RBAC, least privilege) ; Performance tuning and warehouse management 8 Required Proficiency in Python scripting for automation and data engineering tasks 8 Required Experience with containerization and orchestration (AKS preferred) 8 Required Knowledge of data pipelines, ETL processes, and cloud data integration 8 Required Understanding of AI/ML concepts and platform integration 8 Required Experience with Azure Monitoring and Log Analytics, including: Centralized logging, alerting, and dashboarding Security monitoring using audit logs and metrics 8 Required Familiarity with monitoring, logging, and observability tools 3 Preferred Experience implementing AI-enabled data platforms (e.g., Snowflake Cortex / ML pipelines) 3 Preferred Experience with Infrastructure as Code 3 Preferred Knowledge of data security, compliance, and governance frameworks 3 Preferred Prior experience in public sector or large enterprise environments 2 Preferred Strong problem-solving and analytical skills 2 Preferred Ability to manage multiple priorities in a fast-paced environment 2 Preferred Attention to detail and commitment to best practices 2 Preferred Snowflake AI / Cortex features exposure 1 Preferred Excellent communication and documentation skills
- Highly competitive pay rates
- Local support staff for responsive, personal service
- Comprehensive benefits package, including:
- Medical insurance (with employer cost sharing)
- Life insurance
- A 401(K) plan with company match
- Flexible spending through a cafeteria plan
Candidates selected for interviews will be subject to a criminal background check and may be required to pass a drug screening, in compliance with federal and state regulations. All offers of employment are contingent upon successful completion of these checks. Allied Consultants is a proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Responsibilities 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, ensuring efficient deployment, monitoring, and performance optimization. Provides end-to-end DevOps support, including security, governance (RBAC), and collaboration with cross-functional teams to deliver reliable cloud and data solutions. 8 or more years of experience, relies on experience and judgment to plan and accomplish goals, independently performs a variety of complicated tasks, a wide degree of creativity and latitude is expected. Understands business objectives and problems, identifies alternative solutions, performs studies and cost/benefit analysis of alternatives. Analyzes user requirements, procedures, and problems to automate processing or to improve existing computer system: Confers with personnel of organizational units involved to analyze current operational procedures, identify problems, and learn specific input and output requirements, such as forms of data input, how data is to be; summarized, and formats for reports. Writes detailed description of user needs, program functions, and steps required to develop or modify computer program. Reviews computer system capabilities, specifications, and scheduling limitations to determine if requested program or program change is possible within existing system. Qualifications Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity. Years Required/Preferred Experience 8 Required Strong experience in DevOps practices and tools (Azure DevOps, Git, CI/CD pipelines) 8 Required Hands-on experience with Microsoft Azure cloud platform 8 Required Expertise in Snowflake administration including: Access control and security (RBAC, least privilege) ; Performance tuning and warehouse management 8 Required Proficiency in Python scripting for automation and data engineering tasks 8 Required Experience with containerization and orchestration (AKS preferred) 8 Required Knowledge of data pipelines, ETL processes, and cloud data integration 8 Required Understanding of AI/ML concepts and platform integration 8 Required Experience with Azure Monitoring and Log Analytics, including: Centralized logging, alerting, and dashboarding Security monitoring using audit logs and metrics 8 Required Familiarity with monitoring, logging, and observability tools 3 Preferred Experience implementing AI-enabled data platforms (e.g., Snowflake Cortex / ML pipelines) 3 Preferred Experience with Infrastructure as Code 3 Preferred Knowledge of data security, compliance, and governance frameworks 3 Preferred Prior experience in public sector or large enterprise environments 2 Preferred Strong problem-solving and analytical skills 2 Preferred Ability to manage multiple priorities in a fast-paced environment 2 Preferred Attention to detail and commitment to best practices 2 Preferred Snowflake AI / Cortex features exposure 1 Preferred Excellent communication and documentation skills
Vacancy posted 5 days ago
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