Specialist Software Engineer (Automation DRE)

Reference 260007H4

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.

Required 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 systems
• Problem 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

Business insight At Société Générale, we are convinced that people are drivers of change, and that the world of tomorrow will be shaped by all their initiatives, from the smallest to the most ambitious. Whether you’re joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating, and taking action are part of our DNA. If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us! Still hesitating? You should know that our employees can dedicate several days per year to solidarity actions during their working hours, including sponsoring people struggling with their orientation or professional integration, participating in the financial education of young apprentices, and sharing their skills with charities. There are many ways to get involved. 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.