Staff Platform Engineer – IND

Fiddler AI

Staff Platform Engineer building scalable data platforms for AI observability and analytics. Lead architecture initiatives and ensure reliability in data infrastructure for a pioneering startup.

Posted 5/5/2026full-timeBengaluru • 🇮🇳 IndiaLeadWebsite

Tech Stack

Tools & technologies

Distributed SystemsKafkaPostgresPulsarPython

About the role

Key responsibilities & impact

Set technical direction for the data platform — Own the architecture roadmap for Fiddler's ingestion, storage, and query layers. Drive multi-quarter initiatives from problem framing through design, implementation, and rollout.
Design systems for 10x scale — Lead the evolution of our ClickHouse-backed analytics layer and Kafka-based ingestion pipeline to handle order-of-magnitude growth in event volume, query complexity, and tenant count.
Define the event model for next-generation AI workloads — Architect the data model and storage strategy for agentic application traces, LLM evaluation pipelines, and enrichment workflows — balancing flexibility, query performance, and schema evolution.
Drive cross-team technical decisions — Partner with the Backend, Monitoring, and Enrichment teams to ensure platform abstractions serve their needs. Represent the Platform perspective in company-wide architecture reviews.
Own platform reliability and cost efficiency — Establish SLOs, capacity planning processes, and cost optimization strategies for data infrastructure. Make build-vs-buy decisions for infrastructure components.
Raise the engineering bar — Mentor senior engineers. Establish patterns and guardrails (data modeling conventions, query optimization practices, testing strategies) that compound across the team. Lead by example in code review, design docs, and incident response.
Influence product direction — Work with Product and Customer Engineering to translate customer data challenges into platform capabilities. Help define what's feasible, what's risky, and what to build next.

Requirements

What you’ll need

10+ years of experience building and operating production data platforms or large-scale distributed systems, with demonstrated technical leadership
Track record of leading multi-quarter technical initiatives end-to-end — from problem definition through architecture, execution, and measurable outcomes
Deep expertise in at least two of: streaming systems (Kafka, Flink, Pulsar), OLAP databases (ClickHouse, Druid, Pinot), relational databases (PostgreSQL), distributed task systems (Celery, Temporal)
Strong proficiency in Python; ability to make language and framework tradeoff decisions
Experience designing multi-tenant data architectures with strong isolation, security, and performance guarantees
Production operations maturity: incident leadership, SLO definition, capacity planning, cost optimization
Ability to communicate architectural decisions clearly to both engineering peers and non-technical stakeholders
BS/MS/PhD in Computer Science or equivalent depth of 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

ATS Keywords

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Hard Skills & Tools

data platform architectureClickHouseKafkaPythonOLAP databasesrelational databasesdistributed systemsdata modelingquery optimizationincident response

Soft Skills

technical leadershipmentoringcommunicationcross-team collaborationproblem framingdecision makinginfluencing product directioncapacity planningcost optimizationdesign documentation

Certifications

BS in Computer ScienceMS in Computer SciencePhD in Computer Science