WiFi Test Engineer — Automation & Lab Diagnostics

Job Summary
We are seeking a highly capable Senior Dev Ops Engineer / Platform Engineer to build, operationalize, and scale the infrastructure and deployment foundation for a strategic site-builder / network automation platform
. This role will focus on creating reliable CI/CD pipelines, production-grade Kubernetes deployment patterns, managed database services, observability, environment reproducibility, secrets management, and Infrastructure as Code across development, testing, staging, and production environments.
This engineer will play a critical role in moving the platform from an early-stage, partially manual operating model into a repeatable, supportable, and production-ready Dev Ops model. The environment includes Kubernetes-hosted services, AWS managed services, workflow orchestration with Temporal, integration with Nautobot, Argo-based promotion flows, and the supporting tooling required for debugging, snapshotting, local development, and production support.
This is a hands-on engineering role for someone who can design the right platform patterns, implement them directly, and establish a durable operating model between development and Dev Ops teams.
Key Responsibilities
Platform Deployment & CI/CD

• Design, implement, and maintain CI/CD pipelines for testing, staging, and production environments.

• Build and maintain deployment workflows that support safe and seamless promotion across environments.

• Improve and maintain Argo-based deployment workflows to enable controlled release progression from test to staging to production.

• Establish baseline deployment mechanisms for the site-builder application and related services.

• Standardize Kubernetes application packaging and deployment patterns, with a strong preference toward Helm-based lifecycle management for complex services and third-party components.

• Migrate existing deployments to Helm charts where appropriate.
Kubernetes & Runtime Platform Engineering

• Support the deployment and ongoing operation of services running in Kubernetes.

• Improve runtime reliability, resiliency, and troubleshooting for distributed services operating inside shared Kubernetes clusters.

• Investigate and harden service-to-service connectivity patterns, especially for workflow components such as workers connecting to the Temporal engine.

• Partner with development teams to define production-grade runtime requirements, resource sizing, restart policies, and platform support boundaries.
Infrastructure as Code & Cloud Services

• Design and implement fully declarative Infrastructure as Code for managed cloud services, especially in AWS.

• Provision and maintain managed data services such as RDS/PostgreSQL and MongoDB-compatible document databases across all environments.

• Eliminate manual infrastructure setup where possible and replace it with reproducible, version-controlled deployment patterns.

• Prepare the platform for future scale across multiple environments and regions through repeatable IaC and Git Ops-aligned practices.
Data Services, Snapshots & Developer Enablement

• Setup and maintain RDS, MongoDB, Redis/cache services
, and related dependencies for all environments.

• Build tooling and operational processes for:
◦ production and staging database snapshots,
◦ restoring snapshots into development environments,
◦ enabling local debugging and development from realistic data states.

• Support creation of local and development environments, including Minikube-based environment-as-code approaches that mirror production behavior as closely as practical.

• Improve platform reproducibility so engineers can quickly stand up close-to-production development environments.
Workflow Orchestration & Temporal Support

• Lead the setup, deployment, and operational support of Tem…