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Desenvolve APIs, microsserviços e integrações para a plataforma Smart NOC AI, focando em automação, IA (IBM Watson) e sistemas corporativos escaláveis em cloud, com responsabilidade por APIs, RPA, workflows e segurança.
Lead a team of data engineers at a global Big Data/AI consultancy, designing scalable data architectures and driving innovation for top-tier clients.
Designs and governs secure, compliant data platforms for a federal agency’s Azure cloud, setting standards for Lakehouse architecture, Zero Trust, and ATO-aligned security while optimizing cost and interoperability.
Staff Software Engineer for Core Infrastructure at Scribd, designing and operating a scalable content storage platform (Rust/Python) handling billions of objects for media products like Scribd, Slideshare, and Fable. Focuses on transactional storage, data transforms, low-latency retrieval, and governance at massive scale.
Senior DevOps/SRE engineer designing resilient, scalable cloud infrastructure and CI/CD pipelines for containerized and serverless workloads in AWS/GCP.
WHO WE ARE Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain…
As a DevOps Engineer, you ensure continuous stability, performance, and security of cloud platforms via automated CI/CD pipelines (e.g., GitHub Actions, AWS CodePipeline), IaC (Terraform), containerization (Docker, Kubernetes), observability (Grafana, Prometheus), and cost optimization, while enabling fast software delivery and fostering a DevOps culture.
Leads product management for a U.S. government agency’s data/analytics platform, defining roadmaps, OKRs, and customer engagement strategies to improve federal operations.
Leads a team of Cloud and SRE engineers to ensure system reliability, performance, and security for SonarQube Cloud/Server, while reducing manual toil and optimizing cloud costs. Focuses on mentorship, incident response, and aligning engineering efforts with business goals.
Data Engineer working on GCP to industrialize data pipelines, manage ML environments, and implement CI/CD and MLOps practices for a banking client.
Data Engineer working on GCP to industrialize data pipelines, manage MLOps and FinOps, using technologies like BigQuery, GCS, Python, and SQL for a banking sector client.
Lead a data engineering team to design robust data architectures, optimize queries, and implement CI/CD pipelines while mentoring teams on best practices.
Un ingénieur DevOps senior pilote l’intégration, l’automatisation et la maintenance d’applications sur OpenShift, en appliquant DevSecOps et FinOps pour des migrations critiques.
Senior SRE focused on improving production resilience, security, and operational excellence for a fintech company’s AWS/Kubernetes-based systems. Designs scalable infrastructure, automates CI/CD pipelines, and defines reliability standards (SLIs/SLOs) while mentoring engineers.
Senior DevOps Engineer designs, operates, and improves AWS and Kubernetes infrastructure for a global affiliate marketing platform, automating deployments and ensuring reliability and security.
Owns and optimizes Inovalon’s Snowflake data platform, focusing on reliability, performance, automation, security, and cost optimization to enable healthcare data-driven solutions.
Designs and builds agentic AI systems for cloud cost optimization and reliability, focusing on AWS-based workflows and operational automation.
Leads AWS cloud financial optimization for a large enterprise, combining cloud engineering, AI, and analytics to drive cost savings and operational efficiency across a multi-million-dollar AWS environment. Focuses on AI-driven insights, automation, and strategic cloud spend management.
Leads a team of Cloud and SRE engineers to ensure SonarQube Cloud/Server reliability, performance, and security, while reducing manual toil and optimizing cloud costs.
Lead a team of Cloud/SRE engineers to build and operate SonarQube’s cloud platform, ensuring reliability, security, and cost efficiency for AI code-review services.
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