Engineering Team Lead - NirYu

The Role:

We’re seeking a hands-on Engineering Team Lead to design and deliver scalable backend services and data platforms within a distributed, event-driven architecture.

This role blends technical leadership with system ownership and requires strong expertise in Databricks, .NET, data processing, and Azure-based Cloud/DevOps practices. The Team Lead will oversee daily support for Client’s Product Master and Vendor Master systems built on EBX, SSIS/ADF, SQL Server, ASP.NET , Azure, and on-prem environments. The role also includes hands-on development—delivering enhancements to legacy systems and designing and coding solutions in Databricks.

Key Responsibilities:

Lead a team of Engineers to Support Product Master and Vendor Master day to day tickets, and patching + upgrades

Own architecture across backend services, SQL/data models, and data pipelines

Lead design and delivery of ASP.Net/.Net and REST APIs

Hands on develop solutions using Databricks

Ensure system reliability via monitoring, observability, and performance tuning

Guide team on best practices in backend, data, and distributed systems

Collaborate with stakeholders to align technical solutions with business needs

Improve CI/CD pipelines and cloud infrastructure

Requirements:

Data

Experience with Spark / Databricks

Handling large-scale data processing (batch/streaming) ( SSIS/ADF/Kafka/Service Bus/Event Hub)

Backend

Strong experience with .Net / ASP.Net

Solid experience with REST APIs, microservices, and distributed systems

Strong knowledge of SQL, relational databases, and data modeling

DevOps / Cloud

Experience with Azure

Hands-on with CI/CD pipelines (Azure, GitHub Actions)

Experience with monitoring/observability tools (e.g., Datadog)

Familiarity with containers and orchestration concepts

Leadership

Experience leading teams or driving technical initiatives

Strong ownership of production systems and delivery

Nice to Have:

Experience with event-driven systems (Kafka or similar)

Experience with large-scale data platforms

Knowledge of GraphQL APIs

Experience modernizing legacy systems

Must Have:

Hands-on technical leader

Strong ability to own and debug systems in production end-to-end

Comfortable across backend + data + cloud layers

Experience building scalable, high-performance systems

Ability to mentor engineers while contributing technically

Originally posted on Himalayas