Software Dev Principal Engineer -Go and cloud experience is a must

About this role

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Skills you'll use

What you'll do

• Defining technical strategy/architecture direction.
• Mentoring and growing senior engineers, and driving engineering standards adoption
• Collaborate with AI coding tools - validating, testing, debugging, refining generated code, establishing coding standards and AI guardrails.
• Lead end-to-end system design — from requirements decomposition through to deployment topology, data modelling, and API contracts
• Collaborate with engineering managers and product leads on roadmap feasibility, effort estimation, and technical risk assessment
• Design, develop, and maintain high-performance Go-based microservices for NSM's cloud and On-Prem deployments
• Build and evolve RESTful API endpoints serving enterprise customers at scale
• Implement and maintain certificate-based connection trust (mTLS) for secure service-to-service and client-to-service communication
• Adopt a secure software development framework and ensure that the software development process addresses the OWASP Top 10 risks from design to delivery.
• Instrument software services with structured logging, distributed tracing, and metrics using Open Telemetry, New Relic, and OpenSearch

Who can apply

• Build and evolve RESTful API endpoints serving enterprise customers at scale
• Implement and maintain certificate-based connection trust (mTLS) for secure service-to-service and client-to-service communication
• Adopt a secure software development framework and ensure that the software development process addresses the OWASP Top 10 risks from design to delivery.
• Instrument software services with structured logging, distributed tracing, and metrics using Open Telemetry, New Relic, and OpenSearch
• Contribute to both cloud-native (AWS/Kubernetes) and On-Prem microservice deployments, ensuring feature and security parity
• AI-Assisted Coding: Proficient use of AI coding tools is expected as a force multiplier applied with engineering rigor.
• Critical validation - Identify and fix security vulnerabilities, logic errors, and inefficiencies in AI-generated code.
• Iterative collaboration - Work with AI to refine, test, and improve code in small, reviewable chunks rather than accept large, unreviewed outputs.

About SonicWall

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