Cloud Platform & AI Engineer in India at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Cloud Platform & AI Engineer based in India.

Join a forward-thinking technology team focused on building secure, scalable, and intelligent cloud solutions that support innovation across a global organization. In this role, you will contribute to the design and automation of cloud infrastructure while helping advance the adoption of AI-powered services and cloud-native technologies. You will work in a collaborative, remote-first environment where reliability, security, and operational excellence are key priorities. This position offers the opportunity to influence cloud strategy, improve engineering efficiency through automation, and support the development of next-generation AI capabilities. Ideal for professionals who enjoy solving complex technical challenges, this role combines hands-on engineering with strategic impact across cloud operations and platform modernization initiatives.

• 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.

• 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.

• Fully remote work environment with flexibility and potential hybrid opportunities based on business needs.
• Exposure to cutting-edge cloud technologies, AI services, and large-scale infrastructure initiatives.
• Opportunities for professional growth, continuous learning, and technical skill development.
• Collaborative and inclusive workplace culture focused on innovation, wellbeing, and career progression.
• Access to global projects and cross-functional teams working on impactful technology solutions.
• Competitive compensation package and comprehensive employee benefits.
• Supportive environment that encourages knowledge sharing, ownership, and professional advancement.
• Participation in meaningful initiatives that contribute to business innovation and technology transformation.