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Build and scale high-volume data pipelines for an industrial IoT platform on AWS, using Spark/Flink, Kinesis, Databricks, and FastAPI to deliver real-time and batch analytics.
Build and maintain scalable data pipelines and GenAI platforms on AWS using Spark, Iceberg, and Bedrock to power analytics, AI, and RAG systems for a fintech-focused company.
You’ll deploy, secure, and scale AI solutions and cloud infrastructure using Kubernetes, Terraform, and AWS, while automating CI/CD pipelines and collaborating with developers and data scientists.
Senior DevOps engineer providing consultancy, building and maintaining AWS infrastructure using Terraform, ECS/EKS, and Python.
Build and run the AI-SDLC platform: automate CI/CD, manage AWS/Kubernetes infrastructure, and ensure reliability, security, and cost control for AI workloads.
Senior backend developer building investment-broker registration systems in .NET/C# with full client onboarding, compliance, and financial-market regulations.
Backend developer at Q2 Bank building scalable, low-latency microservices in Go with SQL/NoSQL databases, AWS cloud, and observability tools like Grafana and Prometheus.
Builds and maintains high-performance back-end services and APIs in Python or C#/.NET, using PostgreSQL/Azure SQL, Docker, CI/CD, and cloud platforms (Azure/GCP/AWS).
Lead a backend team in Brazil to build scalable APIs, workflows, and automation using cloud-native tech, Temporal.io, and AI-driven orchestration for 3M’s Corporate Research Digital Lab.
Senior DevOps engineer maintaining and evolving Matera’s hybrid cloud infrastructure (AWS) to ensure stable, secure, and high-performance services for financial products, using Kubernetes, EC2, ECS, Prometheus, Grafana, and Kafka.
Builds and operates AI-driven backend services using Python, LLMs, and cloud-native microservices to create intelligent data products and scalable inference pipelines.
Design and evolve high-availability Python backends and APIs that serve critical fraud-prevention data at scale for fintech clients, using AWS and large-volume data strategies.
Maintains AWS infrastructure, migrates Docker workloads to Kubernetes, and automates deployments with Terraform and CI/CD pipelines.
Senior DevOps/SRE engineer building and scaling AWS-based IaC (Terraform, ECS/EKS) and CI/CD pipelines in Azure DevOps, while ensuring observability, security, and cost-efficiency for AI model deployments and data workloads.
Build and scale Java/Spring Boot microservices on AWS for a SaaS platform that uses AI to automate supplier and third-party risk management.
Build and maintain scalable, secure multi-cloud infrastructure and CI/CD pipelines for an AI platform, using AWS, Kubernetes, Terraform, and observability tools.
Designs, implements, and maintains AWS-based infrastructure and CI/CD pipelines for a proptech platform, ensuring scalable, secure, and highly available systems while collaborating with development teams.
Build backend services and APIs in Python (Django/FastAPI) for a fintech platform, ensuring scalability, security, and developer-friendly integrations.
Build and maintain cloud-native infrastructure for a Latin American grain-trading platform, focusing on containers, AWS services, CI/CD, and observability to ensure scalable, secure, and high-availability systems.
Build and own backend features in Java (Python/Go) for a BNPL fintech, using AWS, PostgreSQL, Kafka, and DataDog while mentoring junior engineers and leveraging AI tools daily.
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