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Urgent! Sr. DevOps Engineer - AI Job Opening In ThoUSAnd Oaks California – Now Hiring Talent Space
We’re looking for a skilled Cloud DevOps Engineer with a strong background in cloud infrastructure, automation, and DevOps for a contract to hire opportuntiy in Thousand Oaks, CA!
What You'll Do:
Design, implement, and manage scalable, reliable infrastructure in AWS to support high-availability systems.
Build and maintain Windows and Linux server environments, ensuring seamless integration across hybrid and cloud platforms.
Use Infrastructure as Code (IaC) tools like AWS CloudFormation, CDK, Terraform, and OpenTofu to automate infrastructure provisioning and configuration.
Implement configuration management using Chef to maintain consistency across Windows and Linux systems.
Design and optimize CI/CD pipelines using GitLab CI/CD, supporting automated deployment workflows for .NET applications.
Integrate generative AI services such as AWS Bedrock, Google Agentspace, and similar tools into the platform to support scalable and secure AI delivery.
Develop infrastructure to support large-scale AI/ML pipelines for model training, inference, and deployment across AWS and GCP environments.
Automate the full AI/ML model lifecycle—training, deployment, monitoring—ensuring reproducibility and smooth collaboration between data science and engineering teams.
Partner with AI engineers to deliver reusable APIs, scalable infrastructure, and tools that accelerate innovation and adoption of machine learning across the organization.
Implement robust observability, cost management, and security/privacy strategies tailored to AI workloads, including resource-efficient scaling and monitoring of inference services.
Ensure infrastructure and deployment security aligns with best practices and compliance standards.
Collaborate with software engineering teams to understand their needs and provide DevOps solutions that improve velocity and reliability.
Troubleshoot and resolve infrastructure or deployment issues across environments.
Deploy and manage monitoring and logging systems to ensure real-time visibility and proactive issue detection.
Contribute to the creation and documentation of internal DevOps best practices, standards, and tooling.
Stay current with evolving trends in cloud infrastructure, DevOps automation, and AI platform engineering.
Offer mentorship and support to junior team members, helping grow the team’s technical capabilities.
Qualifications:
Qualifications:
Bachelor’s degree in Computer Science, Engineering, or a related field — or equivalent practical experience.
5+ years of professional experience in a DevOps or Site Reliability Engineering (SRE) role, with a strong track record of supporting production systems.
At least 1 year of experience working with AI services and large language models (LLMs), including integration and orchestration.
Extensive hands-on experience with Amazon Web Services (AWS) and cloud-native architectures.
Solid knowledge of both Windows and Linux server administration, including experience integrating these environments within cloud platforms.
Proven expertise with Infrastructure as Code (IaC) tools, particularly AWS CDK and Terraform.
Strong experience building and managing CI/CD pipelines, especially using GitLab CI/CD.
Experience deploying and maintaining .NET applications in cloud environments.
Deep understanding of cloud security best practices and how to implement them across infrastructure and CI/CD workflows.
Solid grasp of networking fundamentals, including TCP/IP, DNS, load balancing, and firewall configuration in cloud-based systems.
Hands-on experience with monitoring and logging tools such as New Relic, AWS CloudWatch, or similar platforms.
Strong scripting skills in languages such as PowerShell, Python, Ruby, or Bash.
Excellent problem-solving abilities and the capacity to troubleshoot complex systems efficiently.
Strong communication and collaboration skills, with the ability to work effectively across teams and departments.
Experience with containerization technologies like Docker and Kubernetes is a plus.
AWS and/or GCP certifications are a strong advantage.
Familiarity with Chef for configuration management is preferred.
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Unlock Your Sr DevOps Potential: Insight & Career Growth Guide
Real-time Sr DevOps Jobs Trends in Thousand Oaks, California, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Sr DevOps in Thousand Oaks, California, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 55920 jobs in United States and 291 jobs in Thousand Oaks, California. This comprehensive analysis highlights market share and opportunities for professionals in Sr DevOps roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Talent Space is currently hiring and seeking a Sr. DevOps Engineer AI to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Sr. DevOps Engineer AI Jobs Thousand Oaks California.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Talent Space adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Sr. DevOps Engineer AI Jobs United States varies, but the pay scale is rated "Standard" in Thousand Oaks California. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Sr. DevOps Engineer AI typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Sr. DevOps Engineer AI interview at Talent Space, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Talent Space's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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