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Metro Mumbai location and mid-tier brand but senior, specialized backend role creates moderate applicant competition.
Backend, cloud, and ML deployment skills are transferable but AI platform consulting imposes moderate domain specificity.
Mandatory 8+ years, specific tech stack, cloud and ML production experience make shortlisting highly strict.
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Own architecture and delivery of scalable Python backend systems integrating AI/ML models in production for next-generation AI platforms.
Lead implementation of cloud infrastructure, containerization (Docker, Kubernetes), and monitoring/observability for platform services on GCP/AWS.
Act as technical lead on client-facing projects, translating requirements into technical designs and guiding engineering teams across cross-team initiatives.
Master’s or PhD in quantitative field (Statistics, Mathematics, Computer Science, Economics, or Physics).
8+ years engineering experience building backend systems with architecture ownership and delivery demonstrated.
Strong expertise in Python programming, microservices, containerization (Docker), orchestration (Kubernetes), Terraform, Helm, and cloud platforms (GCP/AWS).
Position requires onsite work in Mumbai, India.
Experienced in building and scaling AI/ML backend services with practical deployment of ML models and close collaboration with Data Science teams.
Proven leadership in technical strategy, mentoring engineers, and managing incident triage and root cause analysis.
Operates with a systems-thinking mindset, prioritizes long-term maintainability, and communicates complex technical trade-offs clearly to stakeholders.