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Fiddler AI

Senior Platform Engineer

Fiddler AI

Senior Platform Engineer developing production backend systems at Fiddler to ensure reliable AI solutions. Collaborating with teams to deliver robust software infrastructure in a rapidly growing startup.

Posted 4/30/2026full-timeBengaluru • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies
AWSCloudDockerFlaskGoogle Cloud PlatformKafkaKubernetesMicroservicesPostgresPrometheusPython

About the role

Key responsibilities & impact
  • Deliver a production-ready auth layer for GenAI workloads — Ship OAuth, machine-to-machine (M2M) authorization, and an LLM/MCP authorization layer that secures how enterprises connect agentic applications to Fiddler at scale.
  • Launch GenAI-specific alerting capabilities — Deliver new alert types that detect quality, safety, and performance issues in LLM applications, with notification integrations (PagerDuty, webhooks) and the APIs to configure them.
  • Ship backend features end-to-end — Own features from API design through async processing (Kafka, Celery) to production rollout across Fiddler's microservices — including monitoring, ingestion, and LLM evaluation workflows.
  • Keep services reliable and observable — Maintain SLOs, instrument with Prometheus/OpenTelemetry, and participate in on-call. When things break, you fix them.

Requirements

What you’ll need
  • 6+ years of experience building and operating production backend systems
  • Strong proficiency in Python; experience with Flask or similar web frameworks
  • Experience designing and maintaining RESTful APIs at scale; versioning, pagination, error handling, backward compatibility
  • Hands-on experience with relational databases (PostgreSQL preferred) and ORMs (SQLAlchemy)
  • Experience with asynchronous/event-driven processing; Celery, Kafka, or similar message queue and streaming systems
  • Production operational experience: debugging live services, structured logging, metrics, on-call
  • Comfort with cloud infrastructure (AWS or GCP) and containerized deployments (Docker, Kubernetes)
  • BS/MS in Computer Science or equivalent practical experience.

Benefits

Comp & perks
  • Competitive pay + equity
  • Premium health, dental & vision
  • Retirement plan
  • Generous PTO
  • Annual health check
  • Paid parental leave
  • Team and company events and offsites (this year was Coorg Wilderness Resort)
  • Lunch provided for in-office days

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Hard Skills & Tools
PythonFlaskRESTful APIsPostgreSQLSQLAlchemyCeleryKafkaAWSGCPDocker
Soft Skills
debuggingstructured loggingmetricson-call
Certifications
BS in Computer ScienceMS in Computer Science