Lead Software Engineer (Automation DRE)

Societe Generale Global Solution Centre; Bengaluru; On-site; INR 900,000 - 1,200,000; Full time

Job summary

Societe Generale Global Solution Centre is hiring for a role focused on developing and automating complex workflows using Python. This position involves implementing Ansible playbooks for infrastructure automation and managing CI/CD pipelines.

The ideal candidate should possess strong technical skills in Python and cloud platforms, alongside knowledge of DevOps practices. Join us in creating innovative automation solutions in a diverse and inclusive environment.

Qualifications

• Strong proficiency in Python scripting and automation.
• Experience in creating and managing Ansible playbooks.
• Understanding of cloud platforms and serverless architectures.
• Familiarity with AIOps and MLOps processes.

Responsibilities

• Develop and automate workflows using Python.
• Implement and manage Ansible playbooks.
• Build scalable automation solutions in cloud environments.
• Collaborate with teams for AIOps integration.
• Optimize infrastructure using automation frameworks.

Skills

Python scripting

PowerShell scripting

Ansible

Cloud Knowledge (AWS, Azure, GCP)

AIOps

MLOps

CI/CD

Problem Solving

Job description

Responsibilities

• 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.

Qualifications

• Python: Strong proficiency in scripting and automation tasks.
• PowerShell 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.

Equal Opportunity Statement: 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.