Jobs at Niyam IT

Develop and maintain web and mobile applications, collaborate with teams, and implement new technologies while ensuring quality and performance.

Lead design, architecture, integration, governance, and optimization of IBM Maximo and MAS solutions. Define enterprise EAM and data architectures, lead migrations and modernization, ensure secure scalable environments, guide integrations with financial and enterprise systems, and mentor technical teams while supporting project planning and governance.

The Full Stack Developer will design and implement custom software for federal clients, focusing on back-end and front-end technologies, ensuring project quality and mentoring junior developers.

Manage and lead the proposal team, enhance proposal operations through AI tools, and drive process innovation while directly supervising team members and ensuring quality in proposal submissions.

Design, develop, test, and maintain IBM Maximo reports and KPI dashboards using BIRT and SQL. Configure, implement, and optimize Maximo workflows, escalations, notifications, and business rules. Gather requirements, troubleshoot issues, perform data analysis, support deployments, and maintain documentation to improve process automation and reporting accuracy.

Lead capture and business development for FEDCIV and DOW portfolios, owning pipeline and capture strategy for unrestricted opportunities over $50M. Build customer relationships, pursue task orders on GWACs/IDIQs, drive bid/no-bid decisions, partner with proposal teams on win themes and submissions, and report pipeline metrics to executive leadership.

Configure, maintain, and support IBM Maximo/MAS applications, implement enhancements using Maximo tools, perform testing, troubleshoot configuration defects, support data imports/exports, assist with reporting and documentation, and follow IT governance and change management.

Design, develop, and deploy scalable GenAI and AI/ML prototype applications. Collaborate with data scientists, integrate models and APIs, participate in Agile delivery, and maintain cloud-based, high-availability systems with DevSecOps practices.

The role involves designing, automating, and maintaining scalable infrastructure and deployment pipelines for software and AI/ML models, emphasizing CI/CD, cloud environments, and security best practices. Collaboration with software engineers and data scientists is key to deliver compliant solutions.

The AI Machine Learning Engineer will design, develop, and deploy AI/ML solutions, ensuring compliance with federal standards and improving operational efficiency.

The Product Architect leads and designs scalable, secure solutions within an Agile team, guiding application architecture, cloud strategies, and team collaboration.