Top Tech Jobs & Startup Jobs

Operate and support a large-scale enterprise network and servers across 80+ sites and two datacenters. Administer Linux and Windows servers, manage LAN/WLAN, VLANs, routing, VPN/IPsec and multi-vendor firewalls. Deploy and optimize monitoring platforms, contribute to automation (Ansible, Nautobot), participate in deployments, migrations, incident resolution, and produce documentation and runbooks. Provide N2/N3 support within change management.

Design, build and maintain scalable data pipelines and transformations using Microsoft Fabric, Spark/PySpark, Python and SQL. Implement Lakehouse/OneLake and Fabric Data Warehouse solutions, integrate multiple data sources, support CI/CD with Azure DevOps, ensure data quality, performance and security, and create semantic models and Power BI reports while collaborating with business and technical stakeholders.

Design, build and maintain scalable data pipelines and transformations using Microsoft Fabric, Azure and Spark. Create semantic models and Power BI reports, support CI/CD, ensure data quality, security and collaborate with stakeholders to deliver data platform solutions.

Build and maintain scalable data pipelines and ingestion workflows using Microsoft Fabric and Azure. Develop transformations with Spark/PySpark, Python and SQL, create semantic models and Power BI reports, integrate multiple data sources, support CI/CD and ensure data quality, performance, scalability and security while collaborating with business and technical stakeholders.

Manage and grow a portfolio of key B2B IT clients by building relationships with decision-makers, identifying upsell/cross-sell opportunities, negotiating and closing contracts, collaborating with Delivery and Presales teams, and meeting sales and profitability targets.

Develop and maintain backend applications for Consumer Finance, design and implement new backend features, build and integrate AI-driven solutions (RAG, vector DBs, LLMs, agents), collaborate with business and technical teams, and ensure quality, performance, and security.

Develop and maintain backend applications for consumer finance, design and implement new functionalities, build and integrate AI-driven solutions (RAG, vector DBs, LLMs, multi-agent systems), collaborate with business and technical teams, and ensure quality, performance, and security.

Build and maintain scalable data pipelines and ingestion workflows using Microsoft Fabric and Azure. Develop transformations with Spark/PySpark, Python and SQL; design OneLake/Lakehouse and data warehouse solutions; create semantic models and Power BI reports; support CI/CD and deployments; ensure data quality, performance, security, and stakeholder collaboration.

Manage and maintain platform environments, collaborate with developers to resolve issues, perform modernization and low-level debugging, automate tasks with scripts, improve processes, maintain documentation, and participate in on-call rotations.

Manage and grow a portfolio of enterprise IT clients by building relationships with decision-makers, identifying upsell/cross-sell opportunities, negotiating and closing contracts, collaborating with Delivery and Presales teams, and meeting sales targets while ensuring contract profitability.