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DevOps Solutions Engineer

$135,000-155,000

Lovingly

Hopewell Junction, NY 12533, USA

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🚀 Who We Are At Lovingly, we’re redefining the gifting experience by combining AI-driven technology with deep human connection. We support over 1,500 independent florists, ensuring every gift is meaningful, personal, and effortlessly delivered. Our AI-first mindset extends beyond our products—it’s embedded in the way we work, making our team more efficient, creative, and data-driven. We embrace a hybrid work model, blending remote flexibility with in-person collaboration, fostering a high-performance, innovation-centric culture. đŸ€– AI-First Thinking at Lovingly We believe AI is not just a tool—it’s a strategic partner that enhances our infrastructure, security, and efficiency. As a DevOps Solutions Engineer, you won’t just maintain systems—you’ll reimagine how AI accelerates our development lifecycle and infrastructure automation. You will: ✅ Leverage AI-powered automation to streamline DevOps workflows and infrastructure monitoring. ✅ Use AI-assisted security tools to predict, detect, and prevent threats. ✅ Develop scalable AI-enhanced infrastructure that powers next-gen gifting experiences. ✅ Continuously evolve AI capabilities, integrating LLMs into development practices. We’re looking for innovators who use AI to amplify their impact—if that’s you, let’s talk. 🛠 What You’ll Do 🚀 CI/CD & Automation Architect and manage GitHub Actions CI/CD pipelines for our Nx-based monorepo, optimizing for Next.js and FastAPI deployments. Automate end-to-end testing (Playwright, performance, security). Build AI-enhanced release processes (automated quality gates, changelogs, rollback capabilities). Implement feature flagging & progressive deployment strategies. Use AI for predictive deployment analytics, reducing downtime and increasing reliability. ☁ Infrastructure & Cloud Architecture Design and maintain Terraform-based AWS infrastructure for scalability and security. Optimize cloud networking, security, and multi-tenant architecture. Implement high-availability and disaster recovery solutions. Enhance security frameworks using AI-driven anomaly detection. 🔒 Security & Compliance Ensure PCI DSS compliance for payment processing infrastructure. Manage AWS security protocols, secrets management, and access control. Implement AI-assisted threat detection and predictive risk mitigation. 📊 Monitoring & Observability Deploy AI-powered observability tools to monitor critical business flows, API response times, and infrastructure health. Configure real-time alerting and anomaly detection. Optimize logging, retention, and monitoring dashboards. 🛠 Production Support & Technical Leadership Participate in on-call rotations and lead post-mortem incident reviews. Mentor team members in DevOps best practices and AI-enhanced automation. Continuously improve infrastructure reliability through AI-driven insights. Requirements 🧠 AI-First Skills & Mindset ✅ Experience integrating AI into DevOps workflows (AI-enhanced monitoring, automation, threat detection). ✅ Proficiency in AI-assisted debugging & performance optimization. ✅ Strong understanding of LLMs, predictive analytics, and AI automation tools. đŸ’» Technical Expertise AWS Cloud Architecture Expert (certifications preferred). Deep knowledge of Terraform, IaC, CI/CD, and automation. Experience with Docker, Kubernetes, and cloud orchestration. Advanced security expertise (PCI compliance, multi-tenant security, AWS IAM). Hands-on experience in e-commerce DevOps at scale. Benefits 💡 Why Lovingly? 💰 Competitive Salary & Benefits Range between 135,000 - 155,000 22 PTO days + 12 paid holidays Comprehensive benefits (health, dental, vision) 401k with 3% salary contribution 🚀 AI-Powered Work Culture Access to cutting-edge AI productivity tools. Continuous AI training & professional development. 🌍 Work on Meaningful Tech Help power a gifting platform that brings people closer together. Shape AI-driven DevOps processes that set new industry standards.

Source:  workable View Original Post
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Hopewell Junction, NY 12533, USA
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