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Mid-level, metro Bangalore, and common platform skillset increase candidate density and competition.
Core DevOps and cloud skills are transferable, but AI platform and LLM experience add specialization.
Explicit 5–8 years plus mandatory cloud, CI/CD, and platform skills moderately narrow the pool.
Design, build, test, deploy, and support reusable enterprise AI platform capabilities including services, APIs, SDKs, and automation patterns.
Implement complex integrations with LLM services, AI gateways, orchestration frameworks, vector/search services, and enterprise identity patterns.
Develop and maintain CI/CD pipelines, infrastructure-as-code, automated testing, telemetry, and operational runbooks while ensuring platform meets enterprise security and compliance controls.
5-8 years experience in building backend services, APIs, automation, cloud-native applications, or platform services.
Proficient in Python and modern software engineering practices; knowledge of JavaScript/TypeScript or Java/.NET is an asset.
Experience with Azure cloud platform, Azure DevOps or GitHub Enterprise, CI/CD, containerization, Infrastructure as Code, logging, monitoring, and secure development.
University or College education in Computer Science, Engineering, Data/Analytics, Business/Technology, Risk/Governance, or related field; equivalent experience considered.
Experienced in developing robust, scalable platform components integrating AI/LLM services and orchestration frameworks in an enterprise environment.
Comfortable collaborating with cross-functional teams including architecture, cybersecurity, data privacy, and solution delivery for compliance and operational support.
Capable of troubleshooting complex platform issues and documenting technical patterns and developer enablement materials.