Software Engineering Lead - Data Services

New
J
JobgetherB2B Sales Intelligence
Based in IndiaFull-TimeLead
SalaryCompetitive base compensation and meaningful equity participation.
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Job Details

Experience
7–10 years of hands-on backend engineering experience
Required Skills
AWSPostgreSQLPythonSQLDynamoDBGCPSnowflakeFastAPINosql

Requirements

  • 7–10 years of hands-on backend engineering experience.
  • Experience leading engineers or engineering leads.
  • At least 3 years of strong hands-on Python development.
  • Expertise with FastAPI, Pydantic, and modern backend engineering practices.
  • Proven experience building and operating large-scale production systems.
  • Demonstrated experience shipping AI/LLM services, APIs, and agents into production.
  • Strong experience with AI harness engineering, tool-calling frameworks, and agent runtimes.
  • Solid data-modeling expertise across both SQL and NoSQL databases.
  • Practical experience with agentic development environments such as Claude Code or Cursor.
  • Experience with AWS or GCP (ECS/Fargate, Lambda, S3, RDS, DynamoDB).
  • Familiarity with AI evaluation/observability tools like Braintrust, Inspect AI, Promptfoo, or OpenTelemetry.
  • Experience with agent frameworks like LangGraph or Pydantic AI is advantageous.

Responsibilities

  • Own the architecture, development, and operation of secure, scalable backend services and RESTful APIs using Python and FastAPI.
  • Design robust data models, schemas, and integrity strategies across PostgreSQL, Snowflake, and DynamoDB.
  • Build and evolve production AI/LLM services and agents with a focus on performance, observability, and reliability.
  • Develop agent infrastructure including tool-calling frameworks, MCP server layers, and sandboxed execution.
  • Establish AI evaluation frameworks including scorers, regression suites, model calibration, and drift detection.
  • Lead two engineering pods through team leads, conducting code reviews and setting high engineering standards.
  • Partner with cross-functional teams to translate product requirements into production-ready architectures.
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Competitive base compensation and meaningful equity participation.
Apply Now