Specialist Software Engineer (Automation DRE)

Societe Generale Global Solution Centre; Bengaluru; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Societe Generale Global Solution Centre is seeking a Automation Engineer in Bengaluru, Karnataka, to develop and automate complex workflows using Python. The role involves designing Ansible playbooks, collaborating with DevOps teams, and implementing AIOps and MLOps pipelines for efficient IT operations. Candidates should have strong proficiency in Python, experience with cloud platforms, and knowledge of CI/CD processes. The company promotes diversity and is an equal opportunity employer.

Qualifications

• Strong proficiency in Python scripting for automation tasks.
• Knowledge of PowerShell scripting.
• Expertise in writing Ansible playbooks for automation.
• Understanding of AWS, Azure, or GCP cloud platforms.
• Experience with AIOps for enhancing IT operations.
• Familiarity with MLOps for model management.
• Experience with CI/CD and infrastructure as code.
• Good grasp of databases and systems.
• Strong analytical problem-solving skills.

Responsibilities

• Develop and automate workflows and systems using Python.
• Design Ansible playbooks for infrastructure automation.
• Build scalable automation solutions in cloud environments.
• Integrate AIOps for system monitoring and incident response.
• Implement MLOps pipelines for machine learning models.
• Optimize processes using automation frameworks.
• Automate system provisioning and patch management.
• Design self-healing systems in cloud platforms.
• Create workflows to manage data pipelines for ML.
• Collaborate with DevOps on CI/CD pipelines.
• Continuously improve automation frameworks.

Skills

Python

PowerShell

Ansible

Cloud platforms (AWS, Azure, GCP)

AIOps

MLOps

DevOps & CI/CD

Databases and systems

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.

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.