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Tier-1 brand, mid-level cloud role, metro location, and broad skillset drive high applicant competition.
Core cloud and AWS skills are transferable, but fintech and conversational AI exposure increases domain-specific fit sensitivity.
Explicit 5+ years requirement and mandatory cloud, AWS, CI/CD, and AI skills enforce strict filtering.
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Provide advanced technical support and troubleshooting for complex cloud and AI projects, including diagnosing cross-domain hardware and software issues.
Test, deploy, maintain, and validate AI systems and solutions integrating with business systems to ensure stability, performance, and adherence to quality standards.
Collaborate with vendors, business units, and project teams to align cloud AI solutions with business needs, enforce security best practices, and support disaster recovery and operations.
Minimum 5 years of experience in cloud engineering, infrastructure management, or cloud operations.
Bachelor’s degree in Computer Science/IT (B.E./B.Tech) or equivalent experience.
Hands-on skills with AWS Services (Glue, S3, Lambda), GitHub, Bitbucket/Bamboo, CI/CD, Cloud Platform and Application Development, and intermediate Python.
Experience in building, validating, testing, and deploying AI models and conversational AI tools/platforms.
Experienced Senior Engineer capable of independent work, with strong troubleshooting skills in cloud infrastructure, networking, security, and performance optimization.
Proven ability to communicate technical findings effectively to non-technical stakeholders and collaborate across cross-functional teams.
Familiarity with scrum/agile methodologies and a focus on solving developer pain points; experience preferred in automated regression testing tools and observability/SRE activities.