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Build and maintain scalable cloud infrastructure for blockchain services using Kubernetes, Terraform, and multi-cloud providers, while automating deployments and ensuring high availability.
You’ll design and run AWS-based infrastructure, automate deployments with GitOps (ArgoCD, Tekton), and keep EKS clusters and observability stacks (Prometheus, Grafana) humming—ensuring global reliability and fast incident response.
Builds and maintains full-stack web apps using React/Next.js, Node.js, and cloud services, with CI/CD, DevOps, and security best practices in an agile environment.
Build and own backend services in Node.js/TypeScript, design APIs, and occasionally contribute to React frontends while working with LLM agent systems and observability tools.
Build and deploy production AI applications using TypeScript, React, NestJS, Postgres, and AWS, integrating LLM APIs and improving observability for GenAI systems.
Design and manage cloud-native platforms using Kubernetes/OpenShift, CI/CD pipelines, and IaC tools like Terraform and Ansible.
Build and own Java-based backend services and AWS/Kubernetes infrastructure for Soda Cloud, a data-quality monitoring platform used by Fortune 500s and AI teams.
Senior DevOps Engineer builds and runs production-grade Kubernetes platforms, GitOps-based CI/CD pipelines, and cloud-native infrastructure using AWS, Helm, Terraform, and observability tools.
Design and optimize CI/CD pipelines, Kubernetes clusters, and cloud infrastructure to improve reliability, security, and developer productivity for a global lottery platform.
Build the real-time data backbone for a new adtech standard that turns physical retail shopper behavior into anonymized, measurable audiences using edge computing, streaming pipelines, and privacy-preserving AI.
Build the data backbone for a new global Retail Media channel: transform raw sensor streams from thousands of stores into real-time measurement, forecasting, and attribution systems using Spark, Kafka, Trino, and privacy-preserving pipelines.
Build and scale cloud-native infrastructure for AI platforms, deploying ML models and agents using AWS, Kubernetes, and CI/CD pipelines.
Build and scale the infrastructure for an AI platform, deploying models and agents, automating CI/CD, and ensuring reliability and security.
Build and maintain low-latency data pipelines and trading systems in Python to forecast sports outcomes, using web scraping, Kafka, PostgreSQL, and Go for infra.
Build and run the infrastructure for Generative AI products: pipelines, platforms, and security controls on AWS, including GPU clusters, model serving, and CI/CD.
Build real-time voice AI pipelines and backend services for Hams.ai’s voice agents, handling speech-to-text, LLM orchestration, telephony, and low-latency WebRTC sessions using Python, FastAPI, PostgreSQL, and Kubernetes.
Design and maintain global data pipelines for telemetry (logs, metrics, events) using Splunk, Cribl, Datadog, and cloud-native tools to optimize cost, routing, and governance.
Build and maintain AWS-based data pipelines and ETL processes for a global financial data provider, using Python, Spark, and modern cloud tools to enable AI-ready analytics.
Senior DevOps Engineer building and running scalable cloud infrastructure for BNB Chain, automating deployments with Kubernetes, Terraform, and CI/CD, and improving observability and security.
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