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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # DevOps Engineer - **Company:** Bridgetown Consulting Group - **Location:** New York, NY, United States - **Contract:** Permanent contract - **Skills:** Kubernetes Security, .NET Framework, Airflow, Cloud Computing, Cloud Engineering, Computer Programming, Continuous Integration, DevOps, Elasticsearch, Monitoring of Systems, Python (Programming Language), Networking Basics, Google Cloud, Grafana, Kubernetes Helm Charts, Infrastructure as Code (IaC), Kubernetes, Deployment Automation, Terraform, Service Stack - **Published:** August 28, 2026 - **Apply:** https://www.dice.com/job-detail/f3c61c40-d1ac-401a-b448-bd390fe72d5e ## About the Role * Strong hands-on proficiency with Kubernetes, preferably Google Kubernetes Engine (GKE). * Solid experience with Infrastructure as Code, particularly Terraform. * Hands-on experience with GitOps, especially FluxCD. * Strong understanding of Google Cloud Platform cloud architecture and services. * Experience with CI/CD pipelines and observability tools. * Strong understanding of cloud and Kubernetes networking fundamentals. * Experience troubleshooting complex infrastructure and application issues. Nice-to-Have Skills * Experience with Google Cloud Composer / Apache Airflow. * Programming experience with Python and/or .NET. * Experience developing and maintaining Helm charts. * Familiarity with SRE best practices. * Knowledge of cloud and Kubernetes security best practices. Soft Skills * Strong problem-solving and troubleshooting abilities. * Excellent cross-functional collaboration skills. * Strong written and verbal communication. * Passion for automation, reliability, and continuous improvement. * Ability to work effectively in a fast-paced, collaborative environment. ## Description We are seeking a highly skilled DevOps Engineer to design, build, scale, and maintain secure, highly available cloud infrastructure. The ideal candidate will have strong hands-on experience with Google Cloud Platform, Kubernetes/GKE, Terraform, FluxCD, Helm, CI/CD, and observability tools., * Design, build, and maintain highly available, scalable, and secure infrastructure on Google Cloud Platform (Google Cloud Platform). * Manage and optimize GKE Kubernetes clusters, including networking, security, and workload orchestration. * Implement and maintain GitOps workflows using FluxCD to enable declarative and automated deployments. * Build and maintain Infrastructure as Code (IaC) solutions using Terraform. * Develop and maintain deployment workflows using Helm charts and Kubernetes manifests. * Collaborate with development teams to streamline and improve CI/CD pipelines. * Configure, manage, and monitor Elasticsearch and Grafana for observability and system monitoring. * Support and optimize workflows orchestrated through Cloud Composer (Apache Airflow). * Troubleshoot infrastructure, deployment, networking, and application issues across the technology stack. * Continuously improve automation, reliability, scalability, security, and operational efficiency. ## Related Videos - [My journey into DevOps world - How it all started!](https://www.wearedevelopers.com/videos/545-my-journey-into-devops-world-how-it-all-started) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [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) - [#90DaysOfDevOps - The DevOps Learning Journey](https://www.wearedevelopers.com/videos/548-90daysofdevops-the-devops-learning-journey) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [DevOps Engineer Salary [2023]](https://www.wearedevelopers.com/magazine/203-devops-engineer-salary-2023) - [Learning Kubernetes made easy with KubeCampus](https://www.wearedevelopers.com/magazine/348-learning-kubernetes-made-easy-with-kubecampus) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)