Job Description

About the Role

We are seeking a Senior Cloud Engineer to join our Infrastructure & Platform Engineering team. This role is critical to managing secure, scalable, and high-performance cloud infrastructure while embedding automation, AI-driven service optimization, and regulatory compliance. You'll work across production and non-production environments, collaborating with development, QA, and service teams to ensure smooth, secure, and
efficient platform operations.
This is an exciting opportunity to work at the intersection of cloud engineering, AI-enhanced service management, and DevOps best practices in a mission-critical environment.

What You'll Do

Cloud Infrastructure & Automation

Design, build, and manage AWS/Azure/GCP-based infrastructure using Terraform, CloudFormation, and IaC pipelines. Manage compute, networking, load balancing, identity, and scaling for enterprise-grade workloads. Deploy and manage virtualized services to ensure uptime, high availability, and cost-efficiency.

DevOps & CI/CD Integration

Build and maintain CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI. Support serverless, containerized (Docker, Kubernetes, EKS/ECS) and event-driven platforms. Automate environment provisioning, application deployments, monitoring, and alerts.

IT Service Management (ITSM) & Incident Handling

Manage and streamline incident, problem, and change workflows using tools like ServiceNow, Azure DevOps, or Jira Service Management. Lead incident response and root cause analysis (RCA); define preventive measures and SLAs to maintain system reliability. Maintain detailed operational documentation and runbooks for high-availability support models.

AI-Driven Service Optimization & Analytics

Build and integrate AI-enhanced tooling (e.g., ChatGPT, predictive analytics, or self-healing bots) to accelerate service delivery and reduce resolution time. Use AI/ML for intelligent alerting, auto-remediation, and anomaly detection across observability tools. Analyze system performance and ITSM data to generate actionable insights using data visualization platforms (e.g., Power BI, Tableau, QuickSight).

Security, Risk, and Compliance

Implement secure coding, encryption, network segmentation, IAM best practices, and Zero Trust principles. Ensure compliance with SOC2, GDPR, ISO 27001, DORA, and internal InfoSec standards. Conduct regular system audits, SAST/SCA scans, and support regulatory reporting.

Collaboration & Continuous Improvement

Act as a liaison between infra, dev, and QA teams to ensure seamless integration and deployment. Promote a continuous improvement culture, identifying automation opportunities and driving operational efficiencies. Mentor junior team members on best practices in infrastructure-as-code, observability, and secure operations.

Nice to Have

Certifications: AWS Certified Solutions Architect / DevOps Engineer / Security Specialist Exposure to self-healing architectures, anomaly detection, or AI-based automation agents Experience integrating observability with ITSM workflows for automated post-incident insights * Familiarity with edge computing, serverless frameworks, and VPC/networking optimization