Technical Lead - Automation DRE
IT (Information Technology) Permanent contract Bangalore, India Reference 24000TN9 Start date Immediately Publication date 2025 / 04 / 30
Responsibilities
Responsibilities include :
- Develop and automate complex workflows and systems using Python to streamline IT processes and infrastructure management.
- Design, implement, and manage Ansible playbooks for infrastructure automation, configuration management, and continuous deployment.
- Build and maintain scalable automation solutions within private cloud environments (Openstack) leveraging cloud-native tools and services.
- Collaborate with cross-functional teams to integrate AIOps for proactive system monitoring, anomaly detection, and automated incident response.
- Implement MLOps pipelines to automate machine learning model deployment, monitoring, and lifecycle management in production environments.
- Optimize infrastructure and processes using automation frameworks to reduce operational overhead and improve system performance.
- Automate routine tasks and processes related to system provisioning, configuration, and patch management.
- Design self-healing, auto-scaling systems by incorporating advanced automation techniques in cloud platforms.
- Create automated workflows to manage data pipelines, train models, and monitor ML models' performance in MLOps environments.
- Collaborate with DevOps teams to build and maintain CI / CD pipelines and automated deployment processes for applications and machine learning models.
- Continuously assess and improve automation frameworks and pipelines to align with the latest industry best practices.
Profile required
Python : Strong proficiency in scripting and automation tasks.Power shell scripting knowledge.Ansible : Expertise in writing and managing Ansible playbooks for infrastructure automation.Cloud Knowledge : Sound understanding of cloud platforms like AWS, Azure, or GCP, including serverless architectures and cloud-native automation tools.AIOps : Experience with tools and frameworks that use AI to enhance IT operations (such as monitoring, event correlation, and incident management).MLOps : Familiarity with automating the deployment, monitoring, and management of machine learning models.DevOps & CI / CD : Experience with CI / CD pipelines and infrastructure as code.Good technical grasp of databases and systemsProblem Solving : Strong analytical skills to identify and resolve automation challenges effectively.Why join us
We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status