About the Job
At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and ...
Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.
As a senior engineer on the team, you will be intimately involved in architecture decisions that shape this product. You live and breathe cloud services that require high availability and fast, consistent performance.
Key Responsibilities
Work Location: This role is based out of our Ho Chi Minh City office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.
Lead engineering architecture design reviews across multiple squads and teams, incorporating AI-driven insights and system modeling
Set a high technical bar through code and architecture reviews across the group, including evaluation of AI-generated code and design patterns
Mentor junior to senior engineers on scalable system design, technical strategy, and AI-first development practices
Drive adoption of AI-assisted development tools and workflows across multiple squads, establishing group-level standards and prompt engineering guidelines
Work across teams with Product, Design, and Engineering leadership to translate broad business and technical goals into engineering strategy and execution plans
Improve engineering processes across the organization by embedding automation, AI tooling, and intelligent workflows into planning and execution
Architect and build services that adhere to high standards on availability and latency for broad domain capabilities in a mission-critical environment
Leverage AI systems to optimize performance, observability, and operational efficiency across multi-team distributed systems
Required Skills & Abilities
Bachelor's Degree in Computer Science, Engineering, or related field
8+ years of professional software development experience with a proven track record of executing broad technical initiatives
Experience designing and delivering highly-available, scalable cloud-based systems and platform components or foundational services that support multiple teams and products
Backend service experience in multiple managed languages such as Go, Java, Scala, C#, or similar
Experience working with SQL or NoSQL data stores and designing scalable data architectures
Experience building and operating public cloud-hosted services on Azure or AWS using Kubernetes and Infrastructure as Code (IaC) tools
Strong understanding of platform security concerns: identity, access control, data encryption, and secure service-to-service communication
Experience driving SLOs, SLAs, operational excellence, and an incident response culture across multi-team engineering organizations
Experience evaluating, integrating, and establishing organizational standards for AI-assisted development tools into engineering workflows
Strong understanding of how AI can be applied to improve developer productivity, system design, and operational efficiency at a multi-squad level
CI/CD Tools : Jenkins, GitHub Actions
Containerization : Docker, Podman
Orchestration Tools : Kubernetes, OpenShift
Infrastructure as Code (IaC) : Terraform, CloudFormation
Monitoring and Logging: Prometheus, Grafana, ELK Stack
Cloud Prividers : AWS (ECS, EKS), Azure DevOps, Goolge Cloud Build
Security Best Practices : DevSecOps tools, vulnerability scanning
Qualifications
Experience:
8 years experience
Education:
Bachelor
