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Tier-1 employer and Bangalore location raise competition, but senior principal level reduces applicant pool.
Role demands deep platform, Kubernetes, and distributed-systems experience, limiting cross-industry transferability.
Explicit 15+ years principal requirement and mandatory infra, Kubernetes, and distributed-systems expertise create high filtering.
Define and own long-term technical architecture to ensure system scalability and resilience with 10x platform growth.
Design and build core infrastructure and microservices supporting machine learning, frontend, and platform teams.
Drive business-critical engineering outcomes aligned with business goals, including customer acquisition and infrastructure cost efficiency.
15+ years of software engineering experience with progression to Principal or Sr. Staff Engineer at high-growth tech or AI lab.
Strong hands-on coding skills and system-level architecture expertise; experience with Kubernetes, Python, Golang, Postgres preferred.
Proven experience with distributed systems focusing on performance, scalability, latency, and monitoring.
Experience integrating or evaluating AI tools in workflows and engineering decision-making.
Experienced technical leader able to bridge engineering execution with strategic business outcomes and product goals.
Proactive ownership style with ability to identify gaps, align stakeholders, and deliver impact at startup speed.
Comfortable working cross-functionally with Product and Growth in an early-stage startup or fast-paced environment.