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Build backend services and distributed systems in Python/Go to secure enterprise AI deployments, integrating with cloud platforms and LLM APIs.
Principal Software Engineer designs and builds a self-contained, cloud-agnostic platform that provisions and orchestrates Apache Airflow instances entirely on-premises, including control plane, data plane, APIs, and observability for enterprise environments.
Build and maintain a cloud-native SaaS virtual data room for financial transactions using C#, .NET 8, React, and Azure, while integrating AI-assisted tools to improve engineering velocity and system reliability.
Build and scale Circuit’s Go/Python backend to power AI agents for industrial manufacturers, focusing on Postgres sharding, self-hosted storage, and high-stakes data migrations under heavy load.
Design and build the enterprise AI platform’s core architecture, reusable patterns, and agentic AI systems for New York Life’s insurance and financial services.
Build New York Life’s enterprise AI platform and agentic solutions, spanning cloud-native infrastructure, multi-agent orchestration, retrieval systems, and governance—using Python, GCP, and AI-assisted tools.
Build and integrate cloud-native management features for a distributed database platform, working with Kubernetes, Prometheus, and OpenTelemetry to enhance scalability and automation.
WirelessCar's Journey WirelessCar empowers the future of mobility by connecting vehicles and delivering cutting-edge digital services. Founded in 1999 and headquartered in Sweden, we have a strong global presence…
Design and implement observability pipelines on Kubernetes, standardizing logs/metrics/traces collection with OpenTelemetry and routing to ELK or Grafana stacks.
Design and implement observability pipelines using OpenTelemetry, Kubernetes, and Grafana/Prometheus/ELK to standardize logs, metrics, and traces for Meritis’ clients across industries.
Design and develop Java/JavaEE solutions for insurance platforms, lead technical decisions, and mentor teams while working hands-on with containers, CI/CD, and observability tools.
Leads DevOps and AI infrastructure for monday.com’s BigBrain team, designing scalable Kubernetes/AWS pipelines, AI gateways, and AIOps agents to handle billions of daily events while mentoring engineers and ensuring security and reliability across global regions.
Build automation and internal tools for Qdrant Cloud’s Kubernetes-based infrastructure using Go and Python, focusing on cluster provisioning, lifecycle management, and reducing operational toil.
Build and maintain secure, automated platforms for healthcare decision-support systems using Kubernetes, AWS, CI/CD, and DevSecOps practices to ensure reliable, compliant delivery of clinical tools.
Build and maintain scalable MLOps infrastructure for AI/ML services, including Kubernetes clusters, GPU optimization, and LLM inference platforms to support Money Forward’s fintech products.
Designs and deploys secure, scalable agentic AI systems (multi-agent architectures, RAG, tool orchestration) for enterprise clients, ensuring reliability, observability, and compliance with safety policies while driving measurable business impact.
Sales Engineer at Sentry demonstrates and implements error-monitoring tools for developers, creating demos and best-practice guides to drive customer adoption of the devtools platform.
A DevOps Engineer at Orange Square (WOWPASS) manages hybrid cloud/IDC infrastructure, automates CI/CD pipelines, and ensures high-availability for a travel-commerce platform serving millions of foreign tourists in Korea, focusing on AWS/GCP migration, observability, and security compliance.
Build and maintain Kubernetes-based platforms, service mesh, and Go APIs; design CI/CD and GitOps pipelines, and ensure observability and resiliency for cloud-native services.
Design and implement scalable, reliable infrastructure and observability systems for a fintech platform, using AWS, Kubernetes, and Terraform to set SLOs, automate monitoring, and lead incident response.
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