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Senior Software Engineer, Data Platform

ServiceTitan

Senior Software Engineer, Data Platform

full-timePosted: Aug 2, 2026Updated: Sep 1, 2026India Remote (Remote)

Job Description

About the RoleAs a Senior Software Engineer, you will be a core contributor to the systems and infrastructure that power data across ServiceTitan. You'll work on ingestion frameworks, pipeline reliability, data quality tooling, and platform capabilities that engineering and analytics teams depend on. This is a technically deep role for an engineer who takes pride in building things the right way and wants ownership over meaningful infrastructure.What You'll DoBuild and operate data ingestion and transformation pipelines across real-time and batch workloadsImplement scalable solutions for onboarding new data sources and evolving existing integrationsContribute to the design of data platform components — storage, compute, and pipeline layersDevelop tooling for monitoring, alerting, and data quality measurement with a focus on automation and self-serviceDiagnose and resolve production issues with a bias toward systemic fixes over workaroundsParticipate in on-call rotation — triage incidents, own resolution end-to-end, and close the loop with post-incident improvementsBuild and use AI-powered agents to automate repetitive engineering and operational tasks — triage, monitoring, pipeline debugging, and support workflowsWhat You'll Bring7+ years of experience in software or data engineering roles in production, high-traffic environmentsHands-on experience building batch and real-time data pipelinesWorking knowledge of distributed systems principles: reliability, scalability, fault toleranceStrong ownership mindset — you follow through on what you build and operate it wellExperience with Kafka or other streaming platformsExperience with Spark Structured Streaming and open table formats — Apache Iceberg or similar (Delta Lake, Hudi)Experience with cloud data warehouses — Snowflake strongly preferredExperience with workflow orchestration — Airflow or similarProficiency in Python and SQLAbility to build and use AI agents for engineering and operational tasks — from automating runbooks to building support triage toolsB.S. or M.S. in Computer Science, Engineering, or equivalent experienceNice to HaveExperience with CDC patterns and tooling (Debezium or similar)Familiarity with DBT or transformation frameworksExperience with Big Data technologies (Spark, Flink, Pinot, etc.)Prior use of AI coding tools (Cursor, Copilot, etc.) or LLM-based agent frameworks (LangChain, Claude, etc.)‌Be Human With Us: Being human isn’t about checking every box on a list. It’s about the experiences we have, people we meet, and the perspectives we share. So, if you have the skills but are hesitant to apply because of your background, apply anyway. We need amazing people like you to help us challenge the conventional and think differently about the problems that we’re solving. We’re in this together. Come be human, with us. Use of AI Technology:We use technology, including automated and AI-assisted tools, to support certain aspects of our recruitment process. These tools are designed to improve efficiency and enhance the candidate experience. AI tools are not used to make hiring decisions; all hiring decisions are made by our hiring teams.At ServiceTitan, we celebrate individuality and uniqueness. We believe that the convergence of fresh perspectives and experiences from all walks of life is what makes our product and culture so great. We do not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, sexual orientation, or any other characteristic protected by applicable laws.

Locations

  • India Remote (Remote)

Skills Required

  • softwareintermediate
  • batchintermediate
  • distributed systems principles: reliabilityintermediate
  • Kafkaintermediate
  • Spark Structured Streamingintermediate
  • cloud data warehouses — Snowflake strongly preferredintermediate
  • workflow orchestration — Airflowintermediate
  • Pythonintermediate
  • CDC patternsintermediate
  • DBTintermediate
  • Big Data technologiesintermediate

Required Qualifications

  • 7+ years of experience in software or data engineering roles in production, high-traffic environments (experience, 7 years)
  • Hands-on experience building batch and real-time data pipelines (experience)
  • Working knowledge of distributed systems principles: reliability, scalability, fault tolerance (experience)
  • Strong ownership mindset — you follow through on what you build and operate it well (experience)
  • Experience with Kafka or other streaming platforms (experience)
  • Experience with Spark Structured Streaming and open table formats — Apache Iceberg or similar (Delta Lake, Hudi) (experience)
  • Experience with cloud data warehouses — Snowflake strongly preferred (experience)
  • Experience with workflow orchestration — Airflow or similar (experience)
  • Proficiency in Python and SQL (experience)
  • Ability to build and use AI agents for engineering and operational tasks — from automating runbooks to building support triage tools (experience)
  • B.S. or M.S. in Computer Science, Engineering, or equivalent experience (experience)

Preferred Qualifications

  • Experience with CDC patterns and tooling (Debezium or similar) (experience)
  • Familiarity with DBT or transformation frameworks (experience)
  • Experience with Big Data technologies (Spark, Flink, Pinot, etc.) (experience)
  • Prior use of AI coding tools (Cursor, Copilot, etc.) or LLM-based agent frameworks (LangChain, Claude, etc.) (experience)

Responsibilities

  • Build and operate data ingestion and transformation pipelines across real-time and batch workloads
  • Implement scalable solutions for onboarding new data sources and evolving existing integrations
  • Contribute to the design of data platform components — storage, compute, and pipeline layers
  • Develop tooling for monitoring, alerting, and data quality measurement with a focus on automation and self-service
  • Diagnose and resolve production issues with a bias toward systemic fixes over workarounds
  • Participate in on-call rotation — triage incidents, own resolution end-to-end, and close the loop with post-incident improvements
  • Build and use AI-powered agents to automate repetitive engineering and operational tasks — triage, monitoring, pipeline debugging, and support workflows

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