DevOps Engineer

Switch Intelligence, Inc. is building a commercial operations platform spanning marketing, sales, and customer operations. The company is seeking a DevOps Engineer to establish its cloud, deployment, and operational foundation by implementing infrastructure as code, CI/CD, Kubernetes deployments, observability, security, cost controls, and production operations.

Responsibilities:

• Design and implement cloud infrastructure as code on Google Cloud Platform using Terraform, Pulumi, or equivalent, with reproducible environments rather than hand-configured resources
• Build and maintain CI/CD pipelines for application services, data services, and infrastructure changes
• Containerize services and deploy them to Kubernetes (GKE), including workload configuration, autoscaling, and resource limits
• Implement secrets management and access controls scoped to least privilege across environments
• Establish environment separation across development, staging, and production, including data isolation between environments
• Deploy and operate infrastructure for PostgreSQL, Neo4j, event streaming (Kafka or Google Pub/Sub), Redis, and object storage
• Deploy and operate orchestration infrastructure for data pipelines using Airflow, Dagster, Prefect, or similar
• Implement monitoring, logging, alerting, and tracing that surfaces production issues and suppresses noise
• Implement cost controls, budget alerting, and resource tagging across GCP projects
• Design and document backup, restore, and disaster recovery procedures for stateful services
• Build network configuration including VPC design, private service access, ingress, and TLS termination
• Produce runbooks and architecture documentation as a deliverable of each phase, and conduct a recorded handover walkthrough with the engineering team
• Collaborate closely with the Data Engineering and Backend functions on deployment requirements and environment needs
• Troubleshoot complex production infrastructure and deployment issues

Requirements:

• 5+ years of professional DevOps, Platform, or Site Reliability Engineering experience
• Demonstrated experience building production infrastructure from zero at an early-stage company, rather than maintaining an existing platform
• Strong infrastructure as code practice with Terraform, Pulumi, or equivalent, including module design and state management
• Hands-on experience with Google Cloud Platform , or equivalent depth in AWS or Azure with demonstrated ability to transfer to GCP
• Production experience with Docker and Kubernetes , including managed Kubernetes services
• Experience building CI/CD pipelines with GitHub Actions, Jenkins, GitLab CI, Bitbucket Pipelines, or similar
• Experience deploying and operating stateful data infrastructure , including relational databases and message queues or streaming platforms
• Experience with secrets management tooling such as Google Secret Manager, HashiCorp Vault, or similar
• Experience with monitoring and observability tooling such as Prometheus, Grafana, Datadog, Google Cloud Operations, or similar
• Working knowledge of Linux systems administration and networking fundamentals
• Strong scripting ability in Python, Bash, or Go
• Strong understanding of Git and software development workflows
• Demonstrated ability to write clear technical documentation in English
• Ability to independently troubleshoot and resolve complex technical problems
• The ideal candidate is a hands-on infrastructure engineer who has done greenfield work before and knows what to build first
• You should be comfortable taking an early-stage codebase with no deployment story and delivering a working pipeline, reproducible environments, and documentation another engineer can operate from
• You should be able to reason about real architectural trade-offs — for example, when managed services are worth their cost premium against self-hosted alternatives, and where automation pays for itself at this team size versus where it does not
• We value honest technical pushback grounded in correctness, operability, and cost
• You should build proportionate to a seed-stage company
• Experience deploying and operating Neo4j or another graph database in production
• Experience operating Kafka , Google Pub/Sub , or similar event streaming infrastructure at production scale
• Experience with multi-tenant infrastructure, including tenant isolation at the infrastructure layer
• Experience deploying data orchestration frameworks such as Airflow, Dagster, or Prefect
• Experience with lakehouse or warehouse infrastructure such as BigQuery, Snowflake, or Databricks
• Experience with Ansible, SonarQube, Artifactory , or similar DevOps tooling
• Experience implementing SOC 2 or comparable control frameworks at an early-stage company
• Experience with FinOps practices and cloud cost optimization