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AWS DevOps Engineer

Role Description [Exp 5+ years]

This role is for a DevOps & site reliability engineer to own the cloud infrastructure, build and release process with monitoring capabilities.

Responsibilities:

    • Own and maintain cloud infrastructure
    • Design, implement, and maintain CI/CD pipelines for backend, frontend, and AI/ML components
    • Manage containerized workloads (Docker, Kubernetes, or similar)
    • Monitor and improve system performance, availability, and security
    • Work closely with engineers and PMs to enable fast, safe feature delivery
    • Automate repetitive tasks and reduce operational overhead
    • Participate in incident response, root cause analysis, and reliability improvements

Required Skills / Qualifications:

    • 5+ years of experience in DevOps & Site Reliability Engineering
    • Hands-on experience with Cloud infrastructure , CI/CD pipelines and automation, Containerization (Docker) and orchestration (Kubernetes)
    • Monitoring and alerting tools (Prometheus, Grafana, ELK, etc.)
    • Strong scripting skills (Python, Bash, etc.)
    • Understanding of infrastructure as code (Terraform, CloudFormation, etc.)
    • Ability to balance speed, reliability, and cost
    • Comfortable in a fast-paced, evolving environment

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Suresh Gottimukkala

Practice Head - Software Testing

With 16+ years in Quality Assurance and Test Automation, I lead strategic testing initiatives that drive high-quality, accelerated software delivery. I specialize in modernizing automation frameworks using Generative AI, including AI-driven test generation, self-healing scripts, and intelligent defect analysis  across web, mobile, and API platforms. My work spans end-to-end automation, CI/CD integration, and exploratory testing, always aligned with broader business goals. I collaborate cross-functionally to optimize testing workflows and reduce release cycles. Passionate about innovation, I build scalable, future-ready testing ecosystems that help organizations achieve seamless digital experiences through smarter, AI-powered quality engineering.