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Profissional de SRE/DEVOPS (DevOp/SRE - Infraestrutura)
Designs and builds complex AWS cloud architectures, implements GitOps and IaC with Terraform/CloudFormation, and leads observability and FinOps initiatives for a product-focused tech team.
Senior Engineer, Data Engineering
Builds observability pipelines and dashboards using Datadog, OpenTelemetry, and AWS to deliver reliable operational data for engineering and business teams.
DevOps & Cloud Engineer
Senior DevOps/Cloud Engineer designs and automates AWS cloud infrastructure, CI/CD pipelines, and observability stacks using Terraform, Kubernetes, and Datadog to improve reliability and performance.
En savoir plus sur DevOps Engineer
DevOps Engineer maintains and evolves Kubernetes-based infrastructure, automates deployments with Helm and CI/CD, and ensures observability and security for microservices in a multinational team.
Full Stack Developer (Java + Angular)
Build and evolve microservices-based apps using Java, Spring Boot, and Angular, modernizing legacy systems with Kafka, Kubernetes, and AI initiatives.
(Java + Angular) Full Stack Developer
Build and evolve Java/Spring Boot microservices and Angular frontends, modernize legacy apps, and work with Kafka, Kubernetes, and AI initiatives in a Scrum team.
AWS DevOps Engineer
Design and maintain AWS cloud infrastructure using CDK/CloudFormation, build CI/CD pipelines in Jenkins/Groovy, and automate deployments with Node.js Lambda functions.
Senior DevOps Engineer
Senior DevOps Engineer designs and maintains scalable cloud platforms, CI/CD pipelines, and monitoring systems using Kubernetes, AWS, Terraform, and Python to ensure reliability and security.
Senior Site Reliability Engineer
Own and evolve GCP infrastructure and DevOps practices for an AI/ML company in climate tech, focusing on reliability, observability, and cost optimization.
Senior Assoc/Assoc, Cloud Engineer, Data Platform, Group Technology
Build and maintain a hybrid cloud data platform on GCP to process petabytes of data, support ML workloads, and enable data scientists with scalable analytics and AI/ML pipelines.
Senior Data & ML Infrastructure Engineer (Xora Portfolio Company)
Builds and maintains the data and ML infrastructure pipelines for an AI-driven materials science platform, ensuring efficient data processing, model training, deployment, and monitoring across distributed environments.
Data Platform Engineer: Kafka Streams, Java & GraphQL
Builds and maintains data platforms using Kafka Streams, Java, Spring Boot, MongoDB, and GraphQL to process and analyze customer data in production environments.
Senior DevOps Engineer (Kubernetes & GitOps)
Build and run production-grade Kubernetes platforms, GitOps-based CI/CD pipelines, and cloud-native infrastructure for enterprise clients using AWS, Helm, Terraform, and observability tools.
Research Fellowship (Applied AI/ML)
4-month research fellowship building evaluation frameworks, observability, and self-improvement systems for voice agents using speech models, LLMs, and agent frameworks.
Senior Software Engineer, Infrastructure (SRE & Security Focused)
Build secure, reliable infrastructure for an AI robotics company powering autonomous supply chains, focusing on cloud security, SRE, and observability across robotics and logistics systems.
Senior Full-Stack Product Engineer
Builds and scales a real-time AI-driven analytics platform for airlines, focusing on backend services, conversational analytics, and AI-native workflows to optimize pricing and availability.
backend developer in fintech
Build and maintain scalable microservices and APIs in TypeScript/Node.js and Python, orchestrating AWS services and event-driven workflows for a fintech platform.
Senior Platform Engineer
Owns the build, packaging, release, and developer experience for Vortex, an open-source Electron mod manager used by millions of gamers, using TypeScript, React, Redux, and Node.js.
Staff Backend Engineer - Monitoring and Anomaly Detection (Monetization)
Staff Backend Engineer builds and operates observability, anomaly detection, and reconciliation tooling for GitLab’s monetization stack, using Ruby on Rails, Prometheus, Grafana, and ML to prevent billing and data issues.