> Markdown version of [/jobs/ext/4648528-platform-engineer](https://www.wearedevelopers.com/jobs/ext/4648528-platform-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Platform Engineer - **Company:** Lantern - **Location:** United States (Remote available) - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Microsoft Azure, Bash Shell, Cloud Computing, Cloud Engineering, Databases, Continuous Integration, Data as a Services, Data Infrastructure, Relational Databases, DevOps, Programming Tools, Github, Identity and Access Management, Python (Programming Language), Key Management, Network Security, Role-Based Access Control, Reliability Engineering, Software Deployment, Software Engineering, Datadog, Data Logging, Google Cloud, Cloud Monitoring, Build Server, Amazon Virtual Private Cloud (VPC), Agentic-AI, Terraform, Golang - **Published:** November 9, 2026 - **Apply:** https://www.dice.com/job-detail/1286057d-5968-477b-a1c8-7ddb6e4af56d ## About the Role * Demonstrable experience in Platform Engineering, Site Reliability Engineering, DevOps, Cloud Engineering, or a similar infrastructure-focused role, including operating production systems. * Hands-on experience operating production workloads in Google Cloud Platform, AWS, or Azure, with a strong understanding of cloud infrastructure, networking, IAM, databases, and security. * Strong Google Cloud Platform experience is highly desirable, particularly with services such as Cloud Build, Cloud Run, Cloud SQL, VPC networking, IAM, Secret Manager, and Cloud Monitoring. * Strong experience with infrastructure as code, ideally Terraform, and building or maintaining CI/CD pipelines such as GitHub Actions. * Comfortable with containers, relational databases, and modern application deployment patterns. * Experience operating and troubleshooting production systems using logs, metrics, traces, and other observability tooling. * Able to write scripts or small tools to automate operational tasks using Python, Go, Bash, or similar. * Security-minded, with a good understanding of IAM, secrets management, least privilege, networking, and production access controls. * Experience supporting agentic software development would be highly beneficial, including the infrastructure, tooling, automation, and guardrails needed for AI agents to work effectively within engineering workflows. * Pragmatic and comfortable taking ownership: able to understand a problem, design and implement a solution, and make sure it continues to work. ## Description We're looking for a Platform Engineer to help build, operate, and evolve the infrastructure and engineering platform behind Lantern. You'll work across cloud infrastructure, CI/CD, observability, networking, databases, security, and developer tooling, helping ensure our platform is reliable, secure, scalable, and straightforward for engineers to work with. Our platform runs primarily on Google Cloud Platform, with applications deployed using services including Cloud Run and Cloud SQL. We manage our infrastructure as code and use modern CI/CD practices to take changes from GitHub through to production. This is a hands-on role with significant scope to shape how our platform develops. You'll solve infrastructure problems, automate repetitive work, improve reliability and developer experience, and work directly with product engineers to make it easier and safer to ship software. This role requires participation in an on-call rota, providing out-of-hours support for production incidents when required. What You'll Own * Cloud infrastructure. Build, operate, and improve our Google Cloud Platform infrastructure across compute, networking, databases, storage, identity, and supporting services. * Infrastructure as code. Develop and maintain our infrastructure through Terraform, keeping environments reproducible and well managed. * CI/CD and developer experience. Improve how engineers test, deploy, and operate software, reducing friction while maintaining appropriate safeguards. * Reliability and observability. Improve the resilience, performance, monitoring, logging, tracing, dashboards, and alerting of our production systems. * Databases and data infrastructure. Support our production databases and data services, including connectivity, performance, availability, and backups. * Security and access. Work with engineering and security on IAM, secrets, network security, environment separation, and secure infrastructure practices. * Automation and platform standards. Replace manual or fragile processes with reliable automation and establish sensible patterns for how services are deployed and operated. * Incident response. Help investigate and resolve production incidents and turn what we learn into lasting improvements.