Job Summary
Develop and automate complex workflows and systems using Python to streamline IT processes and infrastructure management.\r\n- Design, implement, and manage Ansible playbooks for infrastructure automation, configuration management, and continuous deployment.\r\n- Build and maintain scalable automation solutions within private cloud environments (Openstack) leveraging cloud-native tools and services.\r\n- Collaborate with cross-functional teams to integrate AIOps for proactive system monitoring, anomaly detection, and automated incident response.\r\n- Implement MLOps pipelines to automate machine learning model deployment, monitoring, and lifecycle management in production environments.\r\n- Optimize infrastructure and processes using automation frameworks to reduce operational overhead and improve system performance.\r\n- Automate routine tasks and processes related to system provisioning, configuration, and patch management.\r\n- Design self-healing, auto-scaling systems by incorporating advanced automation techniques in cloud platforms.\r\n- Create automated workflows to manage data pipelines, train models, and monitor ML models\' performance in MLOps environments.\r\n- Collaborate with DevOps teams to build and maintain CI/CD pipelines and automated deployment processes for applications and machine learning models.\r\n- Continuously assess and improve automation frameworks and pipelines to align with the latest industry best practices.\r\n
Key Responsibilities
Python: Strong proficiency in scripting and automation tasks.\r\n- Power shell scripting knowledge.\r\n- Ansible: Expertise in writing and managing Ansible playbooks for infrastructure automation.\r\n- Cloud Knowledge: Sound understanding of cloud platforms like AWS, Azure, or GCP, including serverless architectures and cloud-native automation tools.\r\n- AIOps: Experience with tools and frameworks that use AI to enhance IT operations (such as monitoring, event correlation, and incident management).\r\n- MLOps: Familiarity with automating the deployment, monitoring, and management of machine learning models.\r\n- DevOps & CI/CD: Experience with CI/CD pipelines and infrastructure as code.\r\n- Good technical grasp of databases and systems\r\n- Problem Solving: Strong analytical skills to identify and resolve automation challenges effectively.\r\n
Skill Requirements
Develop and automate complex workflows and systems using Python to streamline IT processes and infrastructure management.\r\n- Design, implement, and manage Ansible playbooks for infrastructure automation, configuration management, and continuous deployment.\r\n- Build and maintain scalable automation solutions within private cloud environments (Openstack) leveraging cloud-native tools and services\r\n
Other Requirements
DevOps & CI/CD: Experience with CI/CD pipelines and infrastructure as code.\r\n- Good technical grasp of databases and systems\r\n- Problem Solving: Strong analytical skills to identify and resolve automation challenges effectively.\r\n