Integration Engineer

Comply DP is a DPDP Act compliance platform. Live, revenue-generating,backed by NVIDIA Inception, Google Cloud for Startups and T-Hub. We are hiring founding engineers to own the data-discovery connectorsthat run in our cloud, in a customer VPC, and on-prem inside regulatednetworks. Bengaluru-based, hybrid. Expect periodic travel to client sites, mostly Mumbai, and Delhi for deployment work. THE CONSTRAINT IS THE INTERESTING PARTOur connectors describe what a customer's systems hold — schemas,columns, metadata — without reading values. No row samples, no cellcontents, nothing that could carry personal data back out. That refusalis enforced by guards in the pipeline, not by convention, and it is thereason a bank will let us inside their perimeter at all. The other half of the job is real deployment. Our product runs insideregulated clients' infrastructure: jump hosts, change tickets, securityreviews, air-gapped installs, read replicas, service accounts scoped tothe week. You will be the person who makes a connector work on someoneelse's network, on their terms. WHAT YOU WILL DO
- Build, test and deploy connectors across cloud Saa S, enterprise APIs and on-prem databases
- Implement REST integrations with OAuth, pagination, retries and rate limits, and report honestly when a walk stopped early rather than claiming it finished
- Package connectors with Docker so the same job runs in our cloud, a customer VPC, or fully air-gapped
- Write automated tests for auth, pagination, partial failure and rate limits, and ship them through CI
- Leave logs and failure modes that explain a broken sync without opening a production shell, because on a client site you often cannot WHAT YOU BRING
- This is connector and deployment work, not data pipeline engineering. If your experience is Spark, Databricks, ADF or warehouse ETL, it is probably not the right fit.
- 3–7 years building integrations or connectors, in Python or Java
- REST APIs, OAuth, SQL and Docker, used on systems you shipped
- Production connectors in both a cloud environment and an on-prem or VPC environment
- Automated tests and a CI path you have used to deploy an integration change
- Comfort reading an unfamiliar schema and working out what it holds
- Willingness to travel to client sites for deployment BONUS
- Data classification, DLP, or a discovery scanner you operated in production
- Packaging an on-prem agent, or running connectors on Kubernetes
- BFSI exposure: core banking, lending, wealth or insurance systems
- Privacy, consent or data-governance products WEAKER FIT
- Primarily data pipeline / ETL engineering, ML research, frontend, analytics or BI
- Primarily ML research, frontend, analytics or BI
- Dev Ops or platform work without substantial connector and API development
- Work that is mostly configuring an i Paa S rather than building connectors We hire people who have written integrations and debugged them inproduction. Configuring an integration platform, without building theconnector underneath, is a weaker fit. Founding role. Direct work with the founders, no layers.₹18–32 L plus ESOP, depending on depth. TO APPLYEmail your CV to with one paragraph: describe aconnector you built, what broke in production, how you found out, andwhat you changed so it could not happen silently again. We read that paragraph before the CV.