Senior Software Engineer

Primary Responsibilities:

• Lead design, development, deployment, and maintenance of AI driven, cloud native applications and platforms
• Architect scalable, secure AI solutions using cloud services (e.g., AWS, Azure, GCP) including compute, storage, ML, and MLOps services
• Build, integrate, and operationalize machine learning models, APIs, and data pipelines in production environments
• Establish engineering standards, best practices, and reference architectures for AI and cloud solutions
• Leverage AI assisted development and AI enhanced tooling to improve code quality, productivity, and technical decision making
• Drive cloud modernization initiatives, including migration, containerization, and CI/CD automation
• Monitor, optimize, and ensure reliability, performance, and cost efficiency of AI systems in the cloud
• Mentor engineers and collaborate with product, data, security, and platform teams to align solutions with business strategy
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows, and decision-making.

Qualifications - External

Required Qualifications:

• Graduate degree or equivalent experience
• 3+ of experience with Angular, .Net core, Azure, SQL server, HCC Kubernetes, Python, NLP and Generative and agentic AI exposure