[Hiring] Customer Engineer @Nexla

Role Description

You would be the technical bridge between our customers and our engineering teams. When a customer’s pipeline breaks, or our Ops team spots something before the customer does, you take it: dig through logs and connectors, find the actual cause, and see it through to a fix. This is not ticket triage. You own the resolution, including the engineering conversations it takes to get there. Python, SQL, and REST APIs are the tools you reach for daily.

What you’ll own

• Technical resolution, end to end: Cases raised by customers and issues surfaced by our Ops and L1 team.
• The investigation itself: Logs, connectors, the Nexla environment, and whatever Python or shell you need to write.
• What you learn, written down: Known and newly found solutions in the knowledge base.
• The customer’s experience of all of it: Clear updates across email, tickets, Slack, and calls.

The hard problem

Most of what lands on you will not be a bug in our code. It will be a third-party API that changed without telling anyone, a file that arrived malformed, an auth token that quietly expired, or a schema that moved.

Qualifications

• 3 to 6 years in data engineering, technical support, or a closely related role.
• Strong Python: You write scripts quickly to debug something or set up an alert.
• Solid SQL and hands-on with databases: Postgres, MySQL, Oracle, or SQL Server.
• REST APIs and the authentication around them: OAuth2, SSO, and token-based.
• Comfortable on both Linux and Windows, and with data formats including CSV, XML, JSON, and Parquet.
• You use AI tools in your actual work and can say specifically where they help and where they mislead you.

Requirements

• Apache Airflow (bonus points).
• You have worked a support or on-call rotation before and know what good looks like.
• Data integration, ETL, or iPaaS background.

Benefits

• Bengaluru preferred, and we are open to candidates working remotely elsewhere in India.
• The role runs on a rotational shift pattern with weekend coverage shared across the team.
• Compensation includes base salary, bonus, and equity, set by depth and experience rather than by title.

Company Description

Nexla is the data connectivity layer for enterprise AI. Over 1,000 bidirectional connectors give agents real-time access to data and actions over MCP. Nexla's Agentic Data Integration handles high-volume streaming ETL, CDC, and Document ETL. At the core of the platform is Helix, a context engine that continuously learns from metadata, schemas, telemetry, and documentation to give agents accurate context and keep pipelines reliable.

• Nexla processes over a trillion records a month for enterprises including DoorDash, LiveRamp, LinkedIn, and J&J.
• Honorable Mention in the Gartner Magic Quadrant™ for Data Integration Tools.
• Top-rated by customers on Gartner Peer Insights four years running.