Top Tech Jobs & Startup Jobs

Design, modernize, and support enterprise web applications by refactoring legacy Java monoliths into Spring Boot microservices, building responsive React UIs, developing secure RESTful APIs, optimizing Oracle databases and SQL, writing unit/integration tests, and managing CI/CD deployments while collaborating with stakeholders and providing production support.

Lead and manage the infrastructure team to operate and support hybrid cloud (Azure/OCI) and on-prem environments. Oversee incidents, changes, patching, backup/DR, capacity, IaC automation, vendor coordination, and staff development while ensuring security controls and operational reliability.

Serve as the primary liaison between IM and assigned divisions to translate business needs into technical requirements, manage a prioritized backlog, lead delivery from scope through implementation using Agile or PMO frameworks, coordinate vendors, monitor risks/scope/budget, and provide executive reporting and stakeholder engagement.

Design, develop, and deploy generative AI and LLM solutions: prompt and context design, prepare and manage data, integrate models via APIs, evaluate performance, ensure responsible AI, and measure business impact.

Manage employee leave and accommodation processes end-to-end, advising employees and managers, coordinating with external vendors and payroll, ensuring compliance with FMLA/ADA/state laws, tracking leave and PTO, conducting consultations, and driving process improvements while maintaining confidentiality and supporting return-to-work outcomes.

Maintain and improve server and platform operations across on‑prem and Azure. Implement standard builds, automation, patching, backups, monitoring, and incident response. Support AD, DNS, DHCP, Group Policy, virtualization (VMware/Hyper‑V), Azure VMs, Microsoft 365 services, and VoIP; produce runbooks, participate in on‑call rotation, and drive root‑cause remediation.

Manage and maintain scalable AWS and Databricks infrastructure, implement IaC, build CI/CD pipelines with CloudBees/Jenkins, automate operations with Python/Groovy/Shell, monitor systems, troubleshoot production issues, and drive DevOps best practices.

Design, develop, and deploy enterprise Power BI solutions using Databricks as the primary data source. Build semantic models, advanced DAX and Power Query transformations, optimize performance, implement security and governance, publish/manage workspaces and pipelines, produce paginated reports, validate data quality, and mentor junior developers.

Lead migration and consolidation of data warehouses to Databricks-based data lakes on AWS. Reverse-engineer PL/SQL to Spark SQL, design Delta Lake architectures, build ETL pipelines, optimize data models, perform data administration, and collaborate with cross-functional teams in Agile sprints.

Lead the development of MVP solutions, engage stakeholders, build application components, leverage AI tools, and prepare for enterprise deployment.