Cloud Platform & AI Engineer
New
IndiaFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 4+ years of professional experience, including at least 2 years supporting multi-account AWS cloud environments.
- Required Skills
- AWSDockerPythonKubernetesCI/CD
Requirements
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.
- 4+ years of professional experience, including at least 2 years supporting multi-account AWS cloud environments.
- Strong hands-on experience with AWS services, including AI and machine learning platforms such as Bedrock and SageMaker.
- Solid understanding of AI/ML concepts and practical experience deploying or managing AI-enabled cloud services.
- Proficiency in one or more programming languages such as Python, JavaScript/TypeScript, Java, Ruby, or Go, with strong knowledge of object-oriented design principles.
- Experience with Infrastructure as Code (IaC), automation frameworks, and CI/CD pipelines.
- Strong knowledge of cloud security best practices, governance models, compliance controls, and risk management.
- Understanding of networking fundamentals, including DNS, SSL, TCP/IP, and load balancing concepts.
- Experience with containerization technologies such as Docker and Kubernetes is highly desirable.
- Familiarity with cloud-native application architectures and modern software delivery practices.
- Excellent analytical, problem-solving, communication, and stakeholder collaboration skills.
- Ability to work independently in a remote environment while effectively managing multiple priorities.
Responsibilities
- Design, implement, and enhance cloud infrastructure automation frameworks to support scalable and reliable deployments across public cloud environments.
- Develop, maintain, and optimize AI-powered services and cloud-native solutions, ensuring secure and efficient operation across enterprise platforms.
- Automate governance, security, compliance, and auditing processes to support safe and standardized cloud adoption.
- Build and maintain monitoring, alerting, and observability solutions that proactively identify and resolve infrastructure and application issues.
- Drive continuous improvements in cloud performance, reliability, scalability, and cost optimization through engineering best practices.
- Develop automation tools that reduce manual effort, streamline operational processes, and improve overall platform efficiency.
- Participate in code reviews, technical assessments, and architectural discussions to ensure high-quality implementations.
- Support cloud operations through incident response, troubleshooting, and participation in on-call rotations when required.
- Collaborate with cross-functional teams to deliver secure, resilient, and business-aligned cloud solutions.
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