Job Openings
Senior Software Engineer - AI, ML & AWS
About the job Senior Software Engineer - AI, ML & AWS
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