DevOps/MLOps Engineer $120k - $150k Remote at DealerCX
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DevOps/MLOps Engineer

DealerCX US
Full-time $120k - $150k Posted 8 months ago

Role overview

You'll own the entire deployment pipeline and model serving infrastructure. This is a hybrid DevOps + MLOps role – you'll ensure our application deploys reliably AND that our AI models (both frontier and local) serve efficiently.

Our cost optimization strategy requires routing between expensive frontier models (Claude, GPT) and cost-effective local models (Llama, Mistral) based on task complexity. You'll build and own this infrastructure.

Responsibilities

  • check_circle CI/CD pipelines – Automated build, test, and deploy on every push
  • check_circle Infrastructure as code – Terraform/Pulumi for reproducible environments
  • check_circle Monitoring & alerting – Know when things break before customers do
  • check_circle Incident response – Own uptime and reliability
  • check_circle Daily deploys – Enable the team to ship to production every day safely
  • check_circle Model serving infrastructure – Deploy and serve LLMs (local and API-based)
  • check_circle Model router – Build the abstraction layer that routes requests to appropriate models
  • check_circle GPU infrastructure – Manage inference servers for local models (Llama, Mistral)
  • check_circle Cost optimization – Track and optimize model usage costs
  • check_circle Model versioning – Safe rollouts and rollbacks for prompt/model changes
  • check_circle Developer experience – Make the team faster through better tooling
  • check_circle Scaling – Prepare infrastructure for growth
  • check_circle Infrastructure security – Server hardening, network security, firewall configuration, VPC design
  • check_circle Secrets management – Vault, AWS Secrets Manager, or similar; no secrets in code
  • check_circle Access control – IAM policies, least-privilege principles, SSO integration
  • check_circle Vulnerability scanning – Automated scanning in CI/CD, dependency audits, container scanning
  • check_circle Intrusion detection – CloudTrail, GuardDuty, or similar; alert on suspicious activity
  • check_circle Encryption – Data at rest and in transit; key management
  • check_circle Incident response – Work with fractional CISO to implement detection, containment, and recovery procedures
  • check_circle Compliance – Support audits and maintain security documentation
  • check_circle CI/CD quality gates – Automated tests run on every push; bad code doesn't deploy
  • check_circle Test environment management – Staging environments that mirror production
  • check_circle LLM output monitoring – Track hallucinations, wrong tool calls, response quality in production
  • check_circle Security scanning – Automated vulnerability scanning in CI pipeline
  • check_circle Alerting & anomaly detection – Know when something breaks before customers do
  • check_circle Cloud: AWS (EC2, RDS, S3, Lambda)
  • check_circle Containers: Docker
  • check_circle CI/CD: GitHub Actions
  • check_circle Database: PostgreSQL (RDS)
  • check_circle Caching: Redis
  • check_circle Model serving: vLLM, Ollama, or similar for local inference
  • check_circle GPU compute: AWS/GCP GPU instances or dedicated inference providers
  • check_circle Model routing: Custom abstraction layer for model selection
  • check_circle Observability: Datadog, Grafana, or similar for unified monitoring
  • check_circle 3+ years DevOps/SRE/Platform engineering experience
  • check_circle Strong AWS experience (EC2, RDS, Lambda, IAM, VPC)
  • check_circle Infrastructure as code (Terraform, Pulumi, or CloudFormation)
  • check_circle CI/CD pipeline design and maintenance
  • check_circle Docker and container orchestration
  • check_circle Monitoring and observability tools
  • check_circle MLOps experience – Model deployment, serving, monitoring
  • check_circle GPU infrastructure – Managing inference workloads
  • check_circle Experience with LLM serving (vLLM, TGI, Ollama)
  • check_circle Kubernetes experience
  • check_circle Cost optimization mindset
  • check_circle Experience serving both frontier APIs and local models
  • check_circle LangChain/LangSmith or similar LLM observability
  • check_circle Startup experience – comfort with ambiguity and speed
  • check_circle Texas location
  • check_circle AI-augmented development – We use AI tools extensively; you'll automate everything possible
  • check_circle Daily deploys – Your pipelines enable the team to ship constantly
  • check_circle Async communication – Written updates, minimal meetings
  • check_circle On-call rotation – Shared responsibility for production (small team = everyone contributes)

Benefits

  • check_circle 401(k)
  • check_circle Dental insurance
  • check_circle Health insurance
  • check_circle Paid time off
  • check_circle Vision insurance

Tags & Focus Areas

Fulltime Remote Ai Mlops Generative Ai

About DealerCX