Live opening · Posted 3 days ago
Staff Backend Engineer
SaaS Labs · Bangalore
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At a glance
The key details from the original listing.
CompanySaaS Labs
LocationBangalore
Experience8-10 yrs
Source
Instahyre
Listed3 days ago
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About the role
Description supplied by the original job listing.
Responsibilities:
Technical Vision: Define long-term architecture for core platform services. Drive technology strategy across multiple engineering organizations. Evaluate build vs buy decisions and platform investments. Create engineering standards adopted company-wide.
Architecture Leadership: Design highly scalable, resilient, distributed systems. Lead modernisation of legacy platforms. Establish patterns for APIs, event-driven systems, observability, and reliability. Guide architecture reviews across multiple teams.
Platform Ownership: Lead one or more strategic technical areas including: AI Voice Platform- real-time conversational AI infrastructure. Streaming ASR, LLM TTS pipelines. Voice agent orchestration. AI evaluation frameworks. Latency optimization. Integrations Platform Connector framework. SDK architecture. Eventing infrastructure. Webhook reliability. API versioning. Platform observability.
Core Platform Modernisation: Monolith decomposition. Service migration strategies. Database optimization. Platform scalability. Reliability engineering. CI/CD modernisation.
Engineering Leadership: Mentor Staff and Senior Engineers. Drive technical decision-making across organisations. Lead multi-quarter engineering initiatives. Improve engineering culture and technical quality. Influence hiring and technical growth.
Requirements:
12 years of software engineering experience.
Demonstrated experience architecting large-scale production systems.
Deep expertise in distributed systems.
Strong background in platform engineering.
Experience modernising legacy applications.
Exceptional system design skills.
Proven ability to influence engineering organisations.
Strong communication and technical leadership.
Preferred Expertise: AI & Machine Learning, LLM orchestration, Tool calling, RAG AI evaluation, Voice AI, Low-latency inference, Distributed Systems Event-driven architecture, Queueing, Idempotency, Fault tolerance, Service discovery, Horizontal scalability, Platform Engineering, API platforms SDKs Integration frameworks, Developer platforms, Observability, Internal tooling, Infrastructure, Cloud-native architecture, Kubernetes, Monitoring, Performance engineering CI/CD Security.
Experience
8-10 yrs
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