This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Cloud Operations AI Engineer based in India.
This role offers the opportunity to transform cloud operations through the combination of DevOps expertise, automation, and AI-driven engineering practices.
You will help modernize SaaS environments by improving reliability, scalability, observability, and operational efficiency across cloud platforms.
The position requires hands-on experience managing production systems while leveraging AI tools to accelerate troubleshooting and automation.
You will collaborate closely with engineering and operations teams to solve complex challenges and build resilient solutions.
This is a high-impact role for someone passionate about cloud infrastructure, continuous improvement, and responsible AI adoption.
You will contribute to reducing operational complexity while enabling faster, safer, and more reliable software delivery.
Accountabilities:
The role focuses on operating and improving cloud-based SaaS environments by combining strong DevOps practices with AI-enabled engineering approaches. You will be responsible for enhancing reliability, automating operational workflows, supporting incident management, and partnering with engineering teams to improve application performance and resilience.
- Collaborate with developers and cloud operations teams to troubleshoot production issues and improve system reliability.
- Use AI-assisted engineering tools to accelerate troubleshooting, scripting, automation, and operational analysis.
- Automate repetitive operational activities such as health checks, remediation processes, reporting, patching, maintenance, and deployment support.
- Improve availability, scalability, performance, and observability across AWS-hosted SaaS environments.
- Support incident response, root cause analysis, corrective actions, and continuous improvement initiatives.
- Manage and optimize Microsoft-based hosting environments, including Windows Server, .NET Framework, IIS, and SQL Server components.
- Build and maintain automation workflows, runbooks, documentation, and system configuration records.
- Participate in on-call support for customer-facing production environments and act as an escalation point for complex technical issues.
- Develop secure and reliable cloud solutions using AWS services, infrastructure automation, and container technologies.
- Promote responsible AI practices by validating outputs, protecting sensitive information, and ensuring quality and security standards.
Requirements:
The ideal candidate is a cloud and DevOps professional with strong experience managing production SaaS environments, AWS infrastructure, automation, and AI-powered engineering practices. You should be comfortable working across infrastructure, application support, observability, and developer collaboration while maintaining high standards for security and reliability.
- 6+ years of experience in DevOps, Site Reliability Engineering, Platform Engineering, or Cloud Operations roles.
- Proven experience managing AWS-based production environments in a 24/7 SaaS context.
- Hands-on experience with AI-assisted development tools such as GitHub Copilot, AWS Bedrock, Claude-based tools, or similar solutions.
- Ability to use AI for scripting, debugging, automation, troubleshooting, and operational analysis while applying validation and security practices.
- Strong experience with Infrastructure as Code, especially Terraform; knowledge of Ansible is a plus.
- Experience designing and maintaining CI/CD pipelines and automation workflows.
- Hands-on experience with container technologies such as Docker, ECS, and EKS.
- Strong understanding of AWS networking concepts, including VPC, Route 53, load balancing, private networking, and secure connectivity.
- Experience with AWS security and monitoring services such as IAM, KMS, CloudTrail, CloudWatch, and related tools.
- Strong Windows Server administration skills, including IIS, .NET Framework, and SQL Server environments.
- Experience with observability and monitoring tools such as Prometheus, Grafana, and PagerDuty.
- Familiarity with modernizing applications, improving deployment processes, and strengthening reliability practices.
- Strong communication skills, with the ability to collaborate with both technical and non-technical stakeholders.
- Ability to work independently, take ownership, solve ambiguous problems, and operate effectively in a remote environment.
- Bachelor’s degree in Computer Science, Engineering, or a related field.
Benefits:
- Fully remote work model.
- Flexible working hours to support collaboration across different time zones and maintain work-life balance.
- Opportunities to work with modern cloud technologies and AI-driven engineering practices.
- Professional growth opportunities in cloud operations, automation, and emerging technologies.
- Supportive environment focused on innovation, collaboration, and continuous learning.
- Employee benefits package according to local policies and eligibility.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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