Staff Backend Engineer
SaaS Labs · Bengaluru · onsite · Posted 86d ago
Not disclosed8–10 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
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.
Sourced from instahyre
Skills
KubernetesapisGolangData StructuresPythonNode.JsAlgorithmsJavaArchitectureCi/Cddistributedcloud nativescalabilityreliabilityResilientFault ToleranceBackendPlatformSystem Design
About SaaS Labs

SaaS Labs
IT Services & Consulting
23
employees
2016
10 years old
Noida,Uttar Pradesh
India
About
SaaS Labs provides conversation intelligence and call analytics solutions, enhancing enterprise communication through advanced tracking and management tools.
Industries
IT Services & ConsultingInternet
Employee ratings
38 reviews
2.6/ 5
Culture
2.3
Career growth
2.5
Work-life
2.7
Employees rate it well for
Work Life Balance6Learning4
Find them on