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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Platform DevOps Engineer - **Company:** PVCASE US LLC - **Location:** New York, NY, United States (Remote available) - **Salary:** $126,600.0 - $180,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Software as a Service, Cloud Computing, Code Generation, DevOps, Identity and Access Management, Subnetting, Routing, Role-Based Access Control, Prometheus, Data Logging, Load Balancing, Cloud Platform System, GitHub Copilot, Large Language Models, Grafana, Multi-Agent Systems, Firebase, Amazon Virtual Private Cloud (VPC), Amazon Relational Database Service, Kubernetes, Infrastructure Automation Frameworks, Route53, Terraform, Virtual Private Clouds, Devsecops, Docker - **Published:** May 31, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=c5a4c402a7a6d535 ## About the Role Do you have experience in Virtual Private Clouds?, * Extensive hands-on experience managing complex AWS ecosystems (including VPC, RDS, IAM, EKS, Route53, S3, EFS, Firebase). * Proven proficiency with Terraform for infrastructure automation and Kubernetes/Docker for container orchestration. * Strong command of cloud networking (subnets, load balancing, routing) and DevSecOps principles (RBAC, encryption, secret management). * A pragmatic approach to engineering, with a track record of delivering incremental improvements in high-growth SaaS environments. * Excellent communication skills, with the ability to act as a technical liaison between US-based product teams and our global infrastructure team. * Professional familiarity with, or a strong aptitude for, implementing AI-driven agentic workflows to optimize DevOps processes. This includes the use of LLMs and autonomous agents for task automation, documentation, and infrastructure maintenance. * Comfort utilizing AI-assisted development tools (e.g., GitHub Copilot, Claude Code) to accelerate code generation and infrastructure troubleshooting. * A proactive interest in evaluating emerging technologies that reduce cognitive load and enhance developer velocity. ## Description The ideal candidate is a technical practitioner who balances deep expertise in cloud-native infrastructure with a forward-thinking approach to automation. You will work to bridge the gap between global platform consistency and the localized needs of the Prospect product development teams, focusing on scalability, reliability, and the integration of modern AI-driven operational workflows., * Direct the AWS infrastructure strategy for PVcase Prospect, ensuring the application meets rigorous availability, performance, and security benchmarks. * Collaborate with the Global Platform team to implement unified architectural standards, contributing to organization-wide IaC and security initiatives. * Architect and maintain resilient cloud environments using Terraform and AWS, prioritizing modularity and reuse. * Support the transition toward a self-service enablement model, providing product developers with the tools and guardrails necessary for autonomous deployments. * Manage and refine monitoring, logging, and alerting stacks (Grafana, ELK, Prometheus, Checkly) to ensure proactive incident detection. * Identify and implement opportunities to leverage agentic workflows and AI-assisted tooling to automate complex operational tasks and improve incident response times. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [5 steps for running a Kubernetes environment at scale](https://www.wearedevelopers.com/videos/88-5-steps-for-running-a-kubernetes-environment-at-scale) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [#90DaysOfDevOps - The DevOps Learning Journey](https://www.wearedevelopers.com/videos/548-90daysofdevops-the-devops-learning-journey) - [DevOps for AI: running LLMs in production with Kubernetes and KubeFlow](https://www.wearedevelopers.com/videos/1222-devops-for-ai-running-llms-in-production-with-kubernetes-and-kubeflow) ## Related Articles - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [How we Build The Software of Tomorrow](https://www.wearedevelopers.com/magazine/120-how-we-build-the-software-of-tomorrow) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers)