Job Description

We are looking for a Senior Software Engineer to support the deployment, monitoring, and operational reliability of AI-powered systems in production environments.

The ideal candidate should be comfortable working with cloud infrastructure, monitoring and observability tools, and modern AI/ML workflows. Experience in DevOps practices would be an added advantage.

Key Responsibilities

• Support the deployment and operational management of AI/ML applications and services
• Monitor AI systems using logs, metrics, tracing, alerting, and observability tools
• Troubleshoot and debug AI workflows, pipelines, integrations, and runtime failures
• Support scalable, secure, and reliable cloud infrastructure for AI-powered applications
• Support prompt experimentation, version tracking, and A/B testing activities
• Collaborate with engineering and AI teams to improve system reliability, performance, and automation
• Support deployment pipelines and release processes for AI/ML services
• Participate in incident investigation, root cause analysis, and production support activities
• Contribute to continuous improvements in AI/ML operational processes and infrastructure

Preferred Skills & Experience

• 3+ years of experience in MLOps, AI infrastructure, Cloud Engineering, Platform Engineering, SRE, or related roles
• Experience with JavaScript/TypeScript is required, while knowledge of other programming languages is a plus
• Experience working with AWS cloud services
• Familiarity with monitoring and observability tools such as Amazon CloudWatch and Datadog
• Understanding of logging, metrics, tracing, monitoring, and alerting concepts
• Familiarity with AI/ML workflows and LLM-based applications
• Experience with containers, APIs, and deployment pipelines
• Knowledge of infrastructure-as-code tools such as Terraform or CloudFormation
• DevOps experience, particularly with CI/CD, containers, cloud deployments, and infrastructure automation, would be an added advantage
• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field

What We're Looking For

• Strong problem-solving, troubleshooting, and debugging capabilities
• Interest in modern AI operational practices and production AI systems
• Good communication and collaboration skills
• Practical mindset focused on reliability, scalability, automation, and continuous improvement
• Ability to work effectively in a fast-paced and evolving technology environment