

Search by job, company or skills

Role: Tech Lead
Function: Engineering / Technology
Location: Bangalore
Type: Full-time
Industry: Information Technology & Services / Enterprise SaaS / AI / Corporate Housing
About Company
An AI Copilot for Workforce Housing, purpose-built for enterprises, relocation companies, and insurance carriers. The company's intelligent procurement platform streamlines sourcing, booking, and managing temporary accommodations globally.
It operates in the $50B+ corporate housing market, delivering speed, control, and cost-efficiency at scale.
It moves fast, builds with intention, and puts customers at the center of every decision. A collaborative, AI-driven environment where high-ownership individuals can grow quickly and shape the product from the ground up.
Position Overview
This role is the on-ground engineering leader in Bangalore, responsible for day-to-day team execution, culture, and delivery. Reporting directly to the CTO, you will manage a team of 5–10 engineers, drive sprint commitments, and partner with US-based product leadership on roadmap execution. The position carries a clear growth trajectory to VP/Director of Engineering as the company scales.
Role & Responsibilities
Must Have Criteria
Nice to Have
What We Offer
Job ID: 149376055
Skills:
Oauth2, NGRX, Jwt, Node.js, Jira, Npm, Angular, Jenkins, Git, Typescript, Javascript, Rxjs, Sonarqube, Rest Apis, Postman, Azure DevOps, SAP Commerce OCC APIs, SAP Commerce Cloud Spartacus, SAP Commerce Cloud Hybris, Spartacus Storefront
Skills:
containerization , Dynamodb, Redis, Sql, Numpy, Pandas, Batch, Spark, Flask, Python, AWS, Step Functions, Polars, ECR, Metaflow
Skills:
Apis, Hadoop, Scala, Impala, Mapreduce, Big Data Technologies, Hive, Gcp, Kerberos, Spark, Data Transformation, Kafka, Oozie, Data Extraction, Python, AWS, HDFS, Parallel Processing
Skills:
boundary scan , Perl, Python, System Verilog, Tcl, scan architecture, MBIST, DVE Verdi, JTAG protocol, Uvm
Skills:
Docker, Redis, ADO, FastAPI, Mssql, Python, Azure, Git, Celery, MongoDB