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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # DevOps / Platform Engineer - Hybrid - **Company:** Genesis10 - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $137,072.0 - $157,872.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Amazon Web Services, Application Performance Management, Application Release Automation, Confluence, JIRA, Automation of Tests, Microsoft Azure, Software as a Service, Database Applications, DevOps, Identity and Access Management, Python (Programming Language), Log Analysis, Cisco Nexus Switches, Role-Based Access Control, Data Logging, Scripting, Cloud Platform System, Cloud Monitoring, Gitlab, Containerization, Gitlab-ci, Git Flow, Kubernetes, Infrastructure Automation Frameworks, Deployment Automation, Bicep, Machine Learning Operations, Terraform, GPT, Software Version Control, Data Pipelines, Azure Resource Manager, Docker, Key Vault, Vulnerability Analysis, Microservices - **Published:** August 21, 2026 - **Apply:** https://www.careerjet.com/job/us724044057e4b083907f5554c80d80892/eaa ## About the Role * 4 years of experience in DevOps, platform engineering, or an equivalent role * Strong experience with DevOps practices (pipelines, source code management, artifacts, monitoring, security scans) * Experience building CI/CD pipelines for applications, microservices, or AI/ML systems * Proficiency with Infrastructure as Code tools such as Terraform, Bicep, or ARM templates * Experience with containerization (Docker) and orchestration platforms such as Kubernetes / AKS * Strong scripting skills using Python * Experience implementing solutions in Azure * Familiarity with Git workflows and version control best practices Desired skills: * Experience with financial services environments * Any exposure to AI technologies * Strong communication skills with the ability to articulate thought processes and rationale for technical decisions ## Description We are seeking a DevOps Engineer to design, build, and maintain scalable DevOps infrastructure and CI/CD pipelines supporting AI and data-driven applications. This role will focus on DevOps, automation, and platform engineering practices to enable reliable model development, deployment, and operations across environments. The engineer will work with application teams to streamline workflows and ensure secure, production-ready deployments. Responsibilities: * Design, implement, and maintain CI/CD pipelines in GitLab for application, data, and AI/ML workloads * Build automated pipelines templates and standards (Gitlab CI/CD Catalog) for different stages in the pipeline such as model training, validation, packaging, and deployment * Develop infrastructure-as-code (IaC) using tools such as Terraform to provision Azure resources * Understand and implement DevOps best practices including automated testing, artifact management, release automation, and rollback strategies * Create reusable pipeline templates and platform components to standardize deployment patterns across teams * Manage containerized workloads using Docker and Kubernetes (AKS/EKS), including building pipelines and deployment automation * Establish monitoring, logging, and alerting using Azure Monitor, Log Analytics, and Application Insights * Ensure platform security, identity management, and compliance by integrating Azure RBAC, Key Vault, and policy controls into pipelines * Collaborate with engineering and data teams to optimize performance, reduce deployment time, and improve reliability * Support version control workflows and branching strategies using GitLab * Troubleshoot pipeline failures, infrastructure issues, and deployment challenges across cloud environments * Support and administer internal DevOps tools applications both hosted in AWS and SaaS * Leverage AI tools (Claude Code, Perplexity, ChatGPT, etc.) to design, orchestrate and implement various DevOps solutions * Help the team improve our internal infrastructure used to host DevOps applications such as Jira, Confluence, Nexus repository manager and more ## Related Videos - [GitOps for the people](https://www.wearedevelopers.com/videos/815-gitops-for-the-people) - [Back(end) to the Future: Embracing the continuous Evolution of Infrastructure and Code](https://www.wearedevelopers.com/videos/440-back-end-to-the-future-embracing-the-continuous-evolution-of-infrastructure-and-code) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [AI-Augmented DevOps with Platform Engineering](https://www.wearedevelopers.com/videos/1614-ai-augmented-devops-with-platform-engineering) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) ## Related Articles - [DevOps Engineer Salary [2023]](https://www.wearedevelopers.com/magazine/203-devops-engineer-salary-2023) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [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 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)