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This DevOps Engineer role involves designing and maintaining scalable CI/CD pipelines and cloud infrastructure for client business applications. The position requires expertise in AWS/Azure, container orchestration with Kubernetes, and infrastructure-as-code tools to optimize operational efficiency.
The DevOps Engineer will design and maintain scalable CI/CD pipelines and cloud infrastructure for client projects. The role involves managing container orchestration, automating infrastructure provisioning, and collaborating with engineering teams to optimize performance and reliability.
Design and manage AWS-based DevOps infrastructure using CloudFormation and EKS, deploying and scaling containerized applications while ensuring security and compliance.
Build and deploy production-grade AI-powered applications from experimental scripts, focusing on full-stack Python/TypeScript development, agentic AI workflows, and cloud-native AWS architectures.
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Design and maintain cloud-native infrastructure, CI/CD pipelines, and IaC for a utility-focused SaaS platform using AWS, Kubernetes, and Terraform.
Lead security for a fast-growing home-services marketplace, securing PHP/Laravel and TypeScript/React apps, AWS infrastructure, and AI-agent authored code while building a scalable security program from the ground up.
Designs, develops, and supports cloud-based backend solutions using Java, AWS, Kubernetes, and containerization to drive financial services for millions of users.
Lead architecture and engineering for a large-scale government platform modernization, defining target-state cloud-native services, APIs, and integration patterns while guiding Agile teams and vendors through iterative delivery.
Lead a team of 10–15 SREs owning AWS-based fintech infrastructure for QuickBooks, TurboTax, Credit Karma, and Mailchimp, driving 99.999% availability and embedding AI-driven autonomous operations.
Designs and builds cloud-native enterprise applications for customer communications, focusing on AWS-based full-stack solutions, APIs, and AI-driven automation to modernize legacy systems and improve operational efficiency.
Designs and leads an enterprise AI platform for Guardian Life, focusing on developer experience, governance, and production execution of AI/agentic workloads using cloud-native and GenAI technologies.
Designs, deploys, and maintains AWS cloud infrastructure for Worldpay’s Fraud & Dispute team, focusing on Terraform, Ansible, Docker, and Kubernetes to automate and scale fintech payment systems.
Designs and manages scalable, secure cloud infrastructure on AWS for Chamberlain Group’s myQ tech, focusing on IaC, GitOps, observability, and SRE best practices to support global access solutions.
Designs and optimizes MongoDB and AWS RDS MySQL/Aurora databases for healthcare tech platforms, ensuring high performance, security, and scalability in cloud-native environments.
Senior Solution Architect at Red Hat in São Paulo, focusing on designing hybrid cloud and Kubernetes-based solutions for customers. Daily work involves technical presentations, solution demonstrations, and driving business value through Red Hat’s hybrid cloud offerings, particularly OpenShift.
Build and operate the AI engine behind root cause analysis for an enterprise platform — owning the vector database (pgvector), embedding pipelines, RAG retrieval layer, Claude-based prompt engineering, confidence scoring, and evaluation frameworks using Python, FastAPI, and Pydantic.
Vil du stå i spidsen for IT i en virksomhed i vækst og være med til at sætte retningen for vores fremtidige IT-landskab? Motiveres du af at kombinere ledelse, IT-strategi og sikker drift med en hands-on tilgang til…
Build and operate scalable ML training systems and pipelines on AWS and Kubernetes, optimizing GPU-based workloads, enabling Gen AI/LLM fine-tuning workflows, and improving platform reliability and developer experience.
Lead software engineer designing and deploying agentic AI applications (e.g., LangChain, AWS Bedrock) in a cloud-native, microservices architecture on AWS, focusing on autonomous reasoning, tool-use, and production-grade scalability while driving AI-assisted engineering practices across a fintech team.
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