Senior Full Stack Software Engineer

Engineering Quality & Best Practices

• Define, implement, and promote software engineering best practices across Automation Engineering and AI Engineering, including coding standards, software design, testing, version control, dependency management, and documentation.

• Establish and maintain strong code review practices to ensure solutions are readable, maintainable, secure, testable, and aligned with platform standards.

• Drive automated testing practices across unit, integration, end-to-end, regression, and contract testing where appropriate.

• Help teams design solutions for reliability, scalability, observability, performance, resilience, and operational support from the beginning of the development lifecycle.

• Identify technical debt and engineering risks and work with the relevant teams to prioritize and implement improvements.

Platform & Full Stack Engineering

• Contribute directly to the development and evolution of the Convergence platform and NGT AI capabilities, including shared frameworks, services, APIs, developer tooling, integrations, and reusable components.

• Develop and support backend services primarily using Python and related technologies while contributing to frontend and full-stack components where required.

• Design and integrate APIs, databases, messaging services, cloud services, authentication mechanisms, and enterprise systems.

• Support cloud-native engineering practices across Azure, including containers, managed services, infrastructure integration, identity, security, and deployment patterns.

• Help improve CI/CD pipelines, development environments, automated quality gates, release processes, and developer experience.

Collaboration Across AI & Automation Engineering

• Act as a software engineering bridge between AI Engineering and Automation Engineering, ensuring both groups can leverage consistent engineering practices and shared platform capabilities.

• Work with AI engineers to productionize models and AI capabilities through robust APIs, services, integrations, deployment patterns, monitoring, and supporting software.

• Work with Automation Engineers to evolve automations from isolated scripts or legacy RPA implementations into maintainable, testable, and reusable software solutions.

• Partner with architects, platform engineers, security teams, product owners, and other engineering teams to ensure solutions integrate effectively with the wider technology ecosystem.

Mentoring & Engineering Capability

• Mentor engineers across different experience levels in software design, Python, full-stack development, testing, debugging, architecture, Git, CI/CD, and production engineering practices.

• Provide technical guidance through design discussions, pairing, code reviews, troubleshooting, and knowledge-sharing sessions.

• Create and maintain engineering documentation, reference implementations, architecture decisions, reusable patterns, and technical runbooks.

• Help continuously improve engineering maturity across Convergence and NGT AI by identifying opportunities for standardization, automation, reuse, and simplification.

Job Specifications / Qualifications

• Education & Professional Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience.

Knowledge / Experience

Required

• 7+ years of professional software engineering experience building and supporting production-grade applications.

• Strong full stack development experience across backend services, APIs, frontend applications, databases, and integrations.

• Strong Python development experience, including object-oriented design, API development, testing, and maintainable software architecture.

• Hands-on experience designing and building cloud-native applications using containers, managed cloud services, APIs, messaging, and event-driven patterns.

• Strong experience with modern frontend technologies such as JavaScript/TypeScript and frameworks such as React or equivalent.

• Strong understanding of distributed systems, microservices, application security, scalability, resilience, and observability.

• Hands-on experience with Git, CI/CD, Docker, automated testing, and Infrastructure as Code.

• Experience with relational and NoSQL databases, authentication and authorization, and enterprise system integrations.

• Strong troubleshooting, software design, code review, communication, and collaboration skills.

• Fluent English, written and verbal.

Preferred

• Strong experience with Microsoft Azure and Azure-native application services.

• Experience with FastAPI, React, Kubernetes, Azure Container Apps, or equivalent cloud-native technologies.

• Experience with messaging and event-driven technologies such as Azure Service Bus, Event Grid, Kafka, or equivalent.

• Experience with Terraform, Bicep, or equivalent Infrastructure as Code tooling.

• Experience with observability platforms and practices including logging, metrics, tracing, monitoring, and alerting.

• Experience building reusable platforms, frameworks, shared services, or developer tooling.

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