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Designs and maintains enterprise-scale cloud data and AI platforms on GCP, focusing on AI/ML, analytics, and agentic workloads. Leads technical governance, troubleshooting, and operational excellence for financial services infrastructure.
Designs, builds, and maintains SGX’s enterprise data platform (cloud/on-premise) to ensure scalability, reliability, and security. Focuses on data platform engineering, SRE, automation, and AI-assisted operational excellence to support financial market infrastructure.
Lead AI-driven SRE and AIOps platform strategy for Krafton's AI Transformation Dept, designing observability pipelines, auto-healing systems, and CI/CD workflows using Kubernetes, GitOps, and infrastructure automation tools.
Cloud Engineer owning on-call, incident triage, RCAs, and the monitoring stack (Prometheus, Grafana, APM) while provisioning AWS infrastructure with Terraform and managing Kubernetes clusters — also contributing to an early-stage AI-powered pipeline monitoring tool.
Lead DevOps Engineer owning production reliability, incident response, and observability for a Fortune 500 client's critical applications on Azure/AWS, while mentoring AppOps engineers and driving automation and operational standards.
Senior backend developer building and scaling Java/Spring Boot microservices for the Charisma operational solution at Deutsche Telekom IT Solutions Slovakia, working with PostgreSQL, Kubernetes, CI/CD, and observability tooling.
This role involves designing, developing, and maintaining backend microservices using Java 17+ and Spring Boot to support operational processes. The developer will focus on system reliability, performance optimization, and database management within an agile team environment.
The AI DevOps Engineer will manage and modernize hybrid cloud infrastructure, focusing on MLOps, AI pipeline automation, and GPU workload orchestration for a trading environment. The role involves leveraging tools like Kubernetes, Terraform, and various AI frameworks to ensure scalable and reliable infrastructure.
Build and secure cloud-native platforms using Python (Django/FastAPI), TypeScript (Angular/NestJS), and DevOps tools like GCP and Kubernetes for enterprise clients in Europe.
This role involves architecting and building autonomous AI agents and RAG pipelines to automate enterprise workflows for non-technical users. The engineer will work on the full stack of LLM orchestration, tool-use, and production deployment using technologies like Python, Spark, and various vector databases.
Full-stack developer building web applications and backend APIs with React, TypeScript, Node.js, and Microsoft Azure for consulting clients in a hybrid model.
Manage and evolve an Azure Kubernetes (AKS) platform, handling CI/CD with GitHub Actions, Infrastructure as Code with Terraform, and observability using OpenTelemetry while collaborating with international technical teams.
Senior DevOps Engineer managing Azure-hosted clinical solution infrastructure, modernizing CI/CD pipelines, and integrating observability tools to optimize medication delivery and monitoring for hospitals.
Senior Java backend developer migrating legacy systems to modern microservices on OpenShift, designing scalable APIs, and optimizing distributed system observability.
Builds and deploys core AI platform components for NICE, including agent orchestration, RAG pipelines, and LLM integration, enabling enterprise automation across systems like Salesforce, ServiceNow, and Azure services.
Azure DevOps Engineer role building and maintaining CI/CD pipelines using GitHub Actions, Azure DevOps, Terraform, and Helm in AKS environments, with a focus on deploying Grafana and OpenTelemetry for observability across cloud infrastructure.
Designs, deploys, and maintains large-scale Linux infrastructure for AI/ML and enterprise workloads, focusing on bare metal servers, GPU clusters, and high-performance storage systems.
DevOps Engineer for AI systems: designs and maintains CI/CD pipelines, observability, and cost/performance management for LLM/agentic applications, bridging POCs to production-grade deployments with Kubernetes and Terraform.
Designs and builds a Kafka-based medical services platform to ingest, process, analyze, and securely store high-volume cardiac data for clinical analytics and reporting.
Builds and owns a greenfield Azure platform for retail energy (electricity/gas), designing landing zones, IaC pipelines, CI/CD, CIAM, and containerized APIs while enabling self-service for cross-functional teams.
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