Description

You will design and implement CI/CD pipelines, infrastructure-as-code frameworks, and container orchestration strategies while leading the architecture and management of AWS cloud infrastructure. You will drive the adoption of AI and machine learning capabilities within DevOps workflows, including intelligent monitoring, predictive analytics, and the integration of intelligent agents for workflow automation. You will develop AI-powered observability solutions, conduct code reviews, and provide hands-on technical guidance to a team of software and DevOps engineers.

This role is on-site.

Responsibilities

• Design and implement CI/CD pipelines, infrastructure-as-code frameworks, and container orchestration strategies.
• Lead the architecture, deployment, and management of cloud infrastructure in AWS with a focus on reliability and scalability.
• Drive the adoption of AI and ML capabilities within DevOps workflows, including intelligent monitoring and predictive analytics.
• Develop AI-powered observability solutions to proactively manage application and infrastructure health.
• Provide hands-on technical guidance, conduct code reviews, and lead architectural assessments.

Required Skills

• 5+ years of experience in AI/ML engineering with proven expertise in agent-based systems and automation.
• Proficiency in Python and Java.
• Experience with Terraform and Ansible for infrastructure automation.
• Strong working knowledge of AWS, Docker, and Kubernetes.
• Hands-on experience with TensorFlow and PyTorch.
• Experience with Prometheus for monitoring and observability.
• Formal training or certification in software engineering concepts.

Preferred Skills

• Experience with cloud platforms like Azure and GCP, or proficiency with Scikit-learn.
• Familiarity with Grafana, ELK stack, CloudFormation, or Spinnaker.

Key Skills

Education

Any Graduate