Top Tech Jobs & Startup Jobs

Lead architect for enterprise data science and advanced analytics. Design scalable Databricks/Spark-based data platforms, end-to-end ML workflows, and data architectures. Provide technical vision, mentor teams, establish model governance, and partner with stakeholders to deliver production ML and analytics solutions.

Lead DevSecOps architect designing and implementing secure, automated, scalable cloud and hybrid data platforms (Databricks/AWS). Build CI/CD and IaC pipelines, integrate security and compliance, mentor teams, drive platform standardization, and provide strategic architecture guidance to stakeholders and executives.

The Senior Data Architect will design, implement, and optimize data solutions, leading modernization efforts and ensuring compliance with federal standards while mentoring teams.

The Chief Enterprise Architect will oversee the design and integration of cloud and data architecture solutions for government projects, ensuring alignment with industry standards and best practices.

The z/OS Mainframe Programmer will design and implement solutions for legacy mainframe applications, focusing on IRS tax processing and system integration while ensuring compliance and system performance.

The Java Technical Lead will oversee the design and development of healthcare applications, mentor developers, and ensure compliance with CMS standards while managing technical delivery.

The DevSecOps Solutions Architect role involves developing and maintaining DevSecOps infrastructure, mentoring teams, and collaborating with federal clients on high-quality technology solutions.

The Program Manager will oversee government contracts, manage client relationships and delivery teams, and ensure compliance with regulations and project budgets.

The Senior DevOps Engineer will implement and automate DevOps processes, manage AWS pipelines, analyze system performance, and create documentation for efficiency.

The Data Architect will design and implement scalable data solutions, modernize data environments, and ensure compliance with federal data standards while mentoring teams and collaborating with stakeholders.