C#, DevOps) –Hybrid (1 Day Onsite Weekly )|Secaucus, NJ

OMG Technology•Nj, NJ

2d•Hybrid

About The Position

We are seeking an experienced Principal Software Engineer/Architect to architect, design, and lead the development of core software platforms and enterprise applications. This role will provide technical leadership across the full software development lifecycle while driving cloud-native architecture, modernization initiatives, AI/GenAI adoption, and engineering best practices across the organization. The ideal candidate will have strong hands-on experience with DevOps practices, Kubernetes, containerization, and CI/CD pipeline automation, enabling scalable, secure, and high-performing application deployments in modern cloud environments.

Requirements

10+ years of experience in Software architecting, designing, and leading the development of core software platforms and enterprise applications.
Strong proficiency in modern programming languages such as C#/.NET and JavaScript/TypeScript, with working knowledge of additional languages (e.g., Java, C/C++, Python, Shell scripting).
Extensive experience designing and building APIs, backend services, and scalable web applications using Node.js or comparable frameworks.
Proven expertise in architecting and delivering scalable, cloud-native applications leveraging Kubernetes, Docker -based containerization, microservices architecture, and distributed system principles across Windows and Linux environments.
Strong experience with public cloud platforms (AWS and/or Microsoft Azure), including IaaS, PaaS, and SaaS models, with a track record of deploying, operating, and optimizing applications in cloud environment.
Deep understanding of architectural patterns (e.g., microservices, event-driven, layered architectures) and enterprise design principles, with the ability to translate complex business requirements into scalable, secure, and maintainable solutions.
Hands-on experience integrating AI/GenAI technologies into applications and development workflows, including LLM integration via APIs, intelligent automation, anomaly detection, decision support, and AI-assisted engineering practices.
Solid foundation in data modeling, database design, and data management across relational and non-relational (SQL/NoSQL) systems.
Strong experience with CI/CD pipelines, infrastructure as code, automated testing, and modern DevOps practices to enable reliable, repeatable, and efficient software delivery.
Broad understanding of enterprise infrastructure, including Linux/Unix systems, networking fundamentals, and hybrid architectures spanning on-premises and cloud environments.
Experience working within Agile environments (e.g., Scrum), with a strong understanding of modern development paradigms such as MVC, reactive programming, and event-driven systems.
Demonstrated ability to lead technical discussions, influence architectural decisions, mentor engineers, and drive alignment across cross-functional teams while fostering a high-performing engineering culture.
Bachelor's degree required and relevant technical certification.

Nice To Haves

Familiarity with application modernization efforts (e.g., migrating from .NET Framework to modern .NET) is a plus.
Experience migrating applications from .NET Framework to modern .NET.
Experience with reactive programming and event-driven systems.
Relevant technical certifications.
Strong exposure to enterprise-scale cloud transformation initiatives.

Responsibilities

Architect, design, and lead the development of core software platforms and components that underpin NBSA’s applications and product offerings, ensuring scalability, reliability, performance, and maintainability.
Define, standardize, and drive adoption of engineering best practices, including architecture patterns, coding standards, CI/CD pipelines, automated testing, and cloud-native deployment models.
Provide technical leadership across the software development lifecycle—from solution architecture and prototyping to production deployment and continuous optimization.
Evaluate and adopt emerging technologies, frameworks, and industry trends (including AI/GenAI) to enhance application capabilities, accelerate developer productivity, and deliver measurable business value.
Champion the adoption of AI and Generative AI (GenAI) capabilities across the software development lifecycle—including intelligent automation, code generation, anomaly detection, and decision support—to enhance both application functionality and team productivity.
Lead the design and integration of AI/GenAI-driven capabilities—such as intelligent automation, anomaly detection, decision support, and code assistance—across both customer-facing applications and internal development workflows.
Partner closely with product owners, business stakeholders, and cross-functional teams to translate business requirements into scalable, secure, and well-architected technical solutions.
Drive resolution of complex technical challenges across application architecture, system integration, data flows, and user experience, balancing innovation with pragmatism and operational constraints.
Act as a hands-on technical leader by actively contributing to critical codebases, conducting design and code reviews, and guiding troubleshooting efforts in an agile development environment.
Establish and maintain architectural artifacts and documentation, including system blueprints, design decisions, and trade-off analyses, ensuring transparency, knowledge sharing, and long-term sustainability.
Mentor and develop engineering talent across the organization, fostering a culture of technical excellence, continuous learning, and innovation.
Champion continuous improvement in engineering effectiveness, software quality, and operational performance through metric-driven insights, retrospectives, and automation.