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Backend Software Engineer (W2)

Voto Consulting LLCDearborn, MI🇺🇸United StatesPosted 26 Aug 2026

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Dearborn, MI, United States
Posted
20 hours ago
Node.jsAPI GatewayAWSNginxService MeshArgoCDBashDatadogGoogle CloudGrafanaHelmIstioKubernetesPrometheusPythonTerraform

Job Description

Job Title: Backend Software Engineer

Location: Dearborn, MI (4x Week)

Duration: 6-12 Months

W2 Role | Onsite Interview

 

Job Description:

About the Team:

  • Our mission is to empower teams to reliably run production systems using modern cloud-native tools.
  • We focus on building scalable, automated, and resilient solutions that benefit the entire engineering organization - managing the infrastructure that connects and serves 26M+ vehicles globally.
  • We are currently executing a multi-phase platform transformation: decoupling services to reduce blast radius, building a shard-based architecture to scale to 2028 demand, and laying the groundwork for Google Cloud Platform migration.
  • This is not maintenance work - it is foundational platform engineering that shapes how connected vehicle platform operates for the next five years.
  • Our primary customers are internal engineering teams, but the solutions we build have direct impact on vehicle reliability, operational cost, and ability to launch new vehicle programs on time.

 

Responsibilities:

  • As a Software Engineer on the Cloud Engineering team, you will be responsible for designing, developing, and maintaining the cloud platform and automation tooling that powers our platform transformation.
  • Your contributions will directly impact the reliability, scalability, and cost-efficiency of a system serving millions of vehicles.

 

Skills Required:

Key responsibilities include:

  • Platform Development & Automation
    • Design and build cloud-native solutions that enable automated, repeatable shard provisioning - including cluster bootstrapping, network configuration, service mesh setup, and health validation.
    • Build the control plane tooling that allows a new shard to be provisioned and traffic-ready in under 24 hours with zero manual steps.
    • Infrastructure as Code Own and extend production Terraform modules for multi-cloud environments (AWS and Google Cloud Platform).
    • Maintain GitOps-driven infrastructure workflows using Atlantis or similar tooling. Ensure infrastructure changes are reviewed, tested, and auditable before reaching production.

 

  • Kubernetes & Service
    • Mesh Provision, manage, and automate Kubernetes cluster lifecycle (EKS and GKE).
    • Write Helm charts for multi-shard deployments parameterized by shard ID, region, and environment.
    • Configure and operate Istio service mesh including traffic management, mTLS enforcement, and observability.
    • Google Cloud Platform Platform Engineering Build and operate Google Cloud Platform-native platform components: GKE workload deployment, Pub/Sub integration, Cloud Storage, Secret Manager, workload identity federation, and VPC-SC perimeter controls.
    • Support the phased migration from AWS to Google Cloud Platform as the architecture evolves.

 

  • API Gateway & Ingress
    • Configure and operate API gateway infrastructure (Tyk, Apigee, or NGINX) including routing policies, mTLS enforcement, rate limiting, and SLI/SLO metric replication.
    • Drive zero-downtime ingress migrations with automated runbook validation.

 

  • CI/CD Automation
    • Develop and maintain CI/CD pipelines using ArgoCD, Tekton, or Concourse.
    • Automate deployment gates - cluster health checks, fleet distribution validation, rollback triggers - so that shard migrations execute reliably without human intervention at each step.

 

  • Security & Compliance
    • Implement IAM best practices across AWS and Google Cloud Platform: environment-specific role isolation, workload identity, least-privilege access, and automated access reviews.
    • Implement and maintain monitoring for quota thresholds, certificate expiry, and security policy drift.

 

  • Observability & Monitoring
    • Build and maintain monitoring, alerting, and dashboarding solutions (Prometheus, Grafana, Datadog, Cloud Operations) that give engineering teams real-time visibility into shard health, fleet distribution balance, and platform SLOs.
    • Automation & Tooling Write automation scripts and internal tools (Python, Go, Bash, Node.js) that improve platform workflows - migration orchestration CLIs, fleet distribution validators, runbook automation, and capacity planning tools.

 

  • Operational Support
    • Participate in on-call rotations, troubleshoot incidents, and apply SRE principles to improve system resilience.
    • Drive root cause elimination, not just mitigation.

 

 

 

 

Thanks & Regards.

 

Aviral Sapra

Voto Consulting LLC

Direct #:

 

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