Top Tech Jobs & Startup Jobs

Lead design and delivery of Databricks-based Lakehouse solutions and end-to-end data engineering projects. Build and optimize ETL, streaming and batch pipelines, integrate cloud and on-prem systems, mentor team members, support pre-sales, and ensure governance, security, and platform performance.

Design, build, and operationalize AI agentic solutions across the software lifecycle. Own backend responsibilities, contribute to frontend, define technical requirements, deliver maintainable code, collaborate with clients, and stay current with AI, LLM orchestration, and evaluation practices.

As a Senior Full-Stack C#/.NET Engineer, you will fork and set up existing applications, implement architectural adjustments, and ensure deployment in Azure. The role requires close collaboration with stakeholders and troubleshooting legacy code.

Hunt and close enterprise AI transformation deals in ecommerce and financial services. Build pipeline from cold, lead full sales cycles with C-suite stakeholders, co-create solutions with technical teams, and translate AI/data capabilities into measurable business outcomes across personalization, fraud, risk, and data modernization.

Hunt and close enterprise AI, data, and cloud transformation deals. Build pipeline via outbound and partners, own full sales cycle, engage C-suite, partner with architects and engineers, and close complex multi-stakeholder deals ($250K–$5M+).

Deliver end-to-end data science projects using machine learning and deep learning, collaborate with stakeholders, and support client engagement through analytical planning and solution design.

The Data Engineer will design and implement scalable data platforms, build data pipelines, collaborate with teams to ensure data quality, and streamline processes using AWS services and big data technologies.

Design, build, and operate cloud-native MLOps platforms using Databricks and AWS. Implement IaC, scalable data pipelines, model serving and lifecycle management, integrate LLMs and RAG architectures, and drive observability, cost-efficiency, and reliability for production ML workloads while collaborating with AI and data engineering teams.

Coordinate IT operations, finance, procurement, vendor management, shipping/logistics, and GRC activities. Maintain budgets, process invoices and POs, track assets and subscriptions, support audits (SOC 2/ISO 27001), and produce reports to keep IT finance and compliance running smoothly.

Coordinate IT operations including executive administration, IT finance (budgeting, invoicing, reconciliations), procurement and vendor management, hardware logistics, and GRC activities (SOC 2, ISO 27001 audits, evidence collection, policy and risk tracking). Serve as liaison between IT, finance, legal, auditors, and vendors to keep processes running smoothly and ensure compliance and visibility for leadership.