Python을 활용해 복잡한 IT 워크플로우와 인프라를 자동화하는 업무를 수행해요. Ansible을 이용한 인프라 구성 관리와 MLOps 파이프라인 구축 및 운영이 필수예요. AWS, Azure, GCP 등 클라우드 플랫폼에 대한 이해와 AIOps 프레임워크 활용 경험이 필요해요. CI/CD 파이프라인을 설계하고 시스템 성능을 최적화하는 역할을 맡게 돼요.
IT (Information Technology)
Permanent contract
Bangalore, India
Reference 2600061R
Start date Immediately
Publication date 2026/05/18
- 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.
- 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 systems
- Problem Solving: Strong analytical skills to identify and resolve automation challenges effectively.
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
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We are committed to support accelerating our Group’s ESG strategy by implementing ESG principles in all our activities and policies. They are translated in our business activity (ESG assessment, reporting, project management or IT activities), our work environment and in our responsible practices for environment protection.
We are an equal opportunities employer and we are proud to make diversity a strength for our company. Societe Generale is committed to recognizing and promoting all talents, regardless of their beliefs, age, disability, parental status, ethnic origin, nationality, gender identity, sexual orientation, membership of a political, religious, trade union or minority organisation, or any other characteristic that could be subject to discrimination.
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Lead Software Engineer (Automation DRE)
Permanent contract
Bangalore, India
Responsibilities Profile required Why join us Business insight Diversity and Inclusion
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