Senior Software Engineer -DevOps Engineer â AI-Led Transformation
Senior Software Engineer -DevOps Engineer â AI-Led Transformation
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Job Description
Position Description:
Job Title: Senior Software Engineer DevOps Engineer AILed Transformation
Position: Senior Software Engineer DevOps Engineer AILed Transformation
Experience: 37 Years
Category: Software Development
Main location: India Bangalore Hyderabad Chennai Mumbai and Pune
Employment Type: Full Time
Work Type: Work form Office
We are looking for a proactive and skilled MidLevel DevOps Engineer to join our growing team and support cuttingedge AIdriven initiatives. This role is critical to building and maintaining scalable reliable infrastructure for machine learning models and dataintensive applications. The ideal candidate will bring strong DevOps expertise handson experience with cloud platforms CI/CD and a solid understanding of AI/ML workflows.
Your future duties and responsibilities:
Design implement and manage robust CI/CD pipelines tailored for AI and ML workflows.
Collaborate with data science and AI engineering teams to streamline model development testing and deployment processes.
Manage and scale cloud infrastructure (AWS GCP or Azure) optimized for AI workloads.
Automate infrastructure provisioning and configuration using Terraform CloudFormation or similar IaC tools.
Containerize applications using Docker and orchestrate using Kubernetes.
Monitor performance and availability of ML models and supporting infrastructure using tools like Prometheus Grafana ELK or Datadog.
Implement and maintain security best practices across DevOps processes.
Troubleshoot infrastructurerelated issues and perform root cause analysis.
Ensure the reliability scalability and repeatability of deployment processes for realtime AI systems in production.
Support data versioning and ML workflow management using tools such as DVC MLflow or Kubeflow.
Required Qualifications:
Bachelors degree in Computer Science Engineering or a related field.
35 years of experience in a DevOps role preferably in data or AI/MLcentric environments.
Experience with CI/CD tools such as Jenkins GitLab CI/CD or CircleCI.
Proficiency in infrastructure as code (Terraform Ansible or equivalent).
Strong handson experience with Docker and Kubernetes in production environments.
Exposure to ML pipelines and tools (e.g. MLflow Kubeflow SageMaker).
Solid scripting ability in Bash and Python.
Familiarity with cloud platforms (AWS Azure or GCP).
Experience with monitoring tools such as Prometheus Grafana ELK Stack or Datadog.
Knowledge of data versioning tools like DVC is a plus.
Required qualifications to be successful in this role:
Bachelors degree in Computer Science Engineering or a related field.
35 years of experience in a DevOps role preferably in dataintensive or AIrelated projects.
Proven experience with CI/CD tools such as Jenkins GitLab CI/CD or CircleCI.
Solid handson experience with infrastructure as code (IaC) using Terraform Ansible or similar tools.
Strong knowledge of Docker and Kubernetes in a production environment.
Familiarity with ML workflows and AI pipelines (e.g. MLflow Kubeflow or SageMaker).
Experience with monitoring tools like Prometheus Grafana ELK Stack or Datadog.
Strong scripting skills (Bash Python).
Familiarity with data versioning tools (e.g. DVC) is a plus.
CI/CD: Jenkins GitLab CI CircleCI
IaC & Automation: Terraform Ansible CloudFormation
Containers: Docker Kubernetes
Cloud Platforms: AWS GCP or Azure
Monitoring: Prometheus Grafana ELK Datadog
Languages: Bash Python
ML Tools (Preferred): MLflow Kubeflow DVC SageMaker
Design implement and maintain CI/CD pipelines for AI and ML applications.
Collaborate closely with data scientists and AI engineers to support model training testing and deployment workflows.
Manage cloud infrastructure (AWS GCP or Azure) optimized for AI workloads.
Automate infrastructure provisioning using tools like Terraform or CloudFormation.
Ensure system scalability availability and performance for AI services.
Monitor AI model performance and infrastructure metrics; set up alerts and dashboards.
Implement security best practices in all DevOps processes.
Support containerization (Docker) and orchestration (Kubernetes) of AI workloads.
Perform root cause analysis and troubleshoot infrastructure issues.
Build and manage scalable infrastructure for AI/ML models in production environments.
Ensure robust and repeatable deployment processes for largescale realtime AI systems.
Skills:
- Ansible
- BASH
- English
- Grafana
- Jenkins
- Kubernetes
- Prometheus
- Python
- Terraform
- HashiCorp Cert Terraform Assoc
- Kubernetes Administrator
What you can expect from us:
Together as owners lets turn meaningful insights into action.
Life at CGI is rooted in ownership teamwork respect and belonging. Here youll reach your full potential because
You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction.
Your work creates value. Youll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas embrace new opportunities and benefit from expansive industry and technology expertise.
Youll shape your career by joining a company built to grow and last. Youll be supported by leaders who care about your health and wellbeing and provide you with opportunities to deepen your skills and broaden your horizons.
Come join our teamone of the largest IT and business consulting services firms in the world.
Required Experience:
Senior IC
Employment Type
Full-Time
