Software Engineer

Overview

Build and operate the serverless execution engine and workflow orchestration platform supporting AI and automation capabilities. The role focuses on reliable, scalable, observable backend services for multi-tenant and multi-cloud workloads.

What you'll do

• Design and operate serverless execution and workflow orchestration services.
• Own uptime, latency SLOs, and incident response for platform services.
• Architect scheduling, queuing, retry, and graceful degradation mechanisms.
• Define and evolve versioned REST and event-driven APIs.
• Instrument services with tracing, logging, alerting, and observability tools.
• Maintain automated tests and production deployment pipelines.
• Profile performance and optimize throughput, latency, and cloud costs.

What you'll need

• 3–6 years of experience building and operating production backend services at scale.
• Expertise in Kotlin or Java, Python, FastAPI, distributed systems, and cloud-native service design.
• Experience with Kubernetes and at least one of Azure, GCP, AWS, or private cloud.
• Hands-on experience with workflow engines and event-driven architectures.
• Experience with PostgreSQL, non-relational databases, object storage, and Redis.
• Practical experience with OpenTelemetry, Prometheus, and Grafana.
• Experience supporting ML workloads or notebooks in production.

Nice to have

• Familiarity with industrial knowledge graphs, entity resolution, or NLP/CV pipelines.
• Familiarity with React or TypeScript.
• Experience with vector embeddings, semantic search, or RAG infrastructure.
• Understanding of model versioning and A/B experiment tracking.

Details

• Location: Bengaluru, India.