Back
Senior Mumbai role with broad backend, AI and cloud requirements yields moderate candidate competition.
Strong backend, cloud and ML platform requirements increase industry specificity and reduce transferability.
Explicit 8+ years and mandatory backend, Python, cloud, Kubernetes and Terraform skills tighten shortlisting.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own and define architecture for Python-based backend AI/ML production systems integrating cloud-native services.
Deploy, optimize, and scale machine learning models in partnership with Data Science and Data Engineering teams.
Lead containerization, orchestration, monitoring, and backend microservices development for SaaS products and client implementations, including client-facing technical leadership.
Master's or PhD in quantitative fields (Statistics, Mathematics, Computer Science, Economics, or Physics).
8+ years of engineering experience with demonstrated architecture ownership and backend systems delivery.
Strong Python programming skills, experience with microservices, containerization (Docker), orchestration (Kubernetes), and cloud platforms (GCP/AWS).
Position is onsite in Mumbai.
Experienced in building scalable AI/ML production systems with cross-team leadership and technical strategy influence.
Comfortable translating complex and ambiguous technical requirements into maintainable long-term solutions with clear communication.
Proficient with infrastructure-as-code (Terraform, Helm), monitoring stacks (Prometheus, Grafana, ELK/Loki), and handling incident triage and root cause analysis.