Top Tech Jobs & Startup Jobs

Provide functional support for Microsoft Dynamics NAV: troubleshoot issues, support users, manage NAV web-service integrations, document configurations and best practices, deliver end-user training, analyze workflows for improvement, assist on NAV projects, and monitor system performance and data integrity.

Implement and manage Adobe Analytics solutions, design and validate data collection (tags, APIs, server-side), analyze web/digital marketing data, work with SQL and data warehousing, and create visualizations using Tableau or Power BI.

Design, implement, and optimize scalable graph database solutions. Create graph data models, optimize queries and indexing for large datasets, integrate graph DBs with enterprise systems and ETL pipelines, recommend technologies, ensure security and availability, and collaborate with engineering and business teams on graph use cases.

Lead DevSecOps engineer responsible for designing and automating CI/CD pipelines (GitHub Actions), deploying and managing scalable EKS clusters, securing Kubernetes workloads and secrets, integrating compliance/security pipelines, implementing progressive deployments, and providing technical leadership and mentorship.

Lead .NET full-stack developer responsible for building web applications using Visual Studio, ASP.NET, C#/VB.NET, SQL Server, and front-end tech (HTML/CSS/JavaScript). Deliver data mining, analytics, reporting and dashboard solutions using Excel/Sheets/Slides and data visualization tools (Looker or Tableau). Must have strong SQL and programming skills (Python, JavaScript, or Java). Experience with AI/Gen-AI implementations is a plus.

Manage on-prem Active Directory and Azure AD tenants; administer complex Group Policy; monitor and resolve AD replication issues; configure privileged access (PAM); upgrade/migrate AD servers; write and maintain PowerShell automation; clean up AD objects; collaborate with global IT teams while following security and ITSM processes.

Design and develop AWS-based data platforms, build and maintain ETL pipelines using PySpark, perform data modeling and governance, integrate event-driven systems with Kafka, manage containerized deployments with Docker and Kubernetes, and produce clear documentation while collaborating with stakeholders.