Role - SRE Director. Location - Hyderabad. Qualifications:. - Bachelor's or Master's degree in Computer Science, Data Engineering, AI/ML, or a related field. - 10+ years of experience in software release management, with at least 3-5 years in SRE or. - DevOps environments, preferably in AI or data-driven applications. - Proven experience building and managing both release management and SRE teams in complex, multi-product environments. - Strong knowledge of AI/ML operations (MLOps), data pipeline management, and cloud based AI product deployments. - Expertise in release management tools (Jenkins, GitLab, Git, Jira) and SRE tools such as. - Prometheus, Grafana, Datadog, or similar monitoring systems. - Experience with cloud platforms (AWS, GCP, Azure), containerization (Kubernetes, Docker), and infrastructure automation tools (Terraform, Ansible). - Excellent problem-solving, organizational, and leadership skills, with a strong track record of driving continuous improvement in both release and operational reliability processes. Preferred Qualifications:. - Experience deploying and maintaining large-scale AI/ML models in production environments, including monitoring, retraining, and operationalization. - Familiarity with ITIL, MLOps, or DevOps frameworks and best practices. - Knowledge of cloud-based services and tools specifically designed for AI/ML ( AWS. SageMaker, TensorFlow, PyTorch). - Demonstrated ability to manage incident response and root cause analysis in complex software ecosystems. Key Responsibilities:. Strategic Leadership & Vision:. - Lead and manage the Software Release Management function for all Data and AI products. - Establish a centralized release management framework for AI and data products that scales with the growing product portfolio. - Form and lead a high-performing Site Reliability Engineering (SRE) team to ensure the operational stability and performance of all AI and data-driven applications post-release. - Collaborate with Product, Engineering and Operations teams to align release and SRE strategies with business objectives. Release Planning & Coordination:. - Oversee the full lifecycle of software and AI model releases, from planning and coordination to post-release evaluation. - Develop and maintain a detailed release calendar that aligns with the timelines and priorities of various product teams. - Coordinate release activities with multiple cross-functional teams, ensuring transparent communication of dependencies, risks, and milestones. - Ensure that all releases are integrated seamlessly into production, minimizing downtime and disruptions to end users. - Site Reliability Engineering (SRE) Team Formation: Hire, build, and lead the SRE team responsible for maintaining the reliability, scalability and performance of all Data and AI products in production. - Define the roles and responsibilities of the SRE team, ensuring clear alignment with the goals of product engineering and release management. - Develop and implement SRE best practices, including incident response, root cause analysis, and proactive performance monitoring. - Establish SLAs, SLOs, and SLIs (Service Level Agreements/Objectives/Indicators) to track and measure the reliability and performance of all services post-release. Collaborate with DevOps to ensure that automated CI/CD pipelines integrate seamlessly with SRE processes and monitoring systems. Process Optimization & Automation:. - Lead the automation of software release processes, with an emphasis on CI/CD pipelines for AI models, data pipelines, and cloud-based AI products. - Develop infrastructure-as-code practices to improve the scalability and reliability of AI and data systems across production environments. - Introduce tools for version control, model governance, and monitoring for MLOps and AI model management in production. - Continuously improve operational procedures to reduce the number of incidents and optimize recovery time. Risk & Quality Management:. - Implement comprehensive quality assurance and validation processes to ensure that all AI models, data products, and software releases meet security, performance, and compliance requirements. - Proactively identify and mitigate risks related to releases, AI model performance, and operational stability in production.

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Director  - Site Reliability Engineering 

Job Description for Director  - Site Reliability Engineering  in SKILLEDSQUAD CONSULTING (OPC) PRIVATE LIMITED in  Others for (10-15) years of experience. Apply Now!