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Senior Cloud Platform Engineer at a digital product studio, designing and evolving AWS cloud platforms with Infrastructure as Code, multi-account governance, CI/CD pipelines, and Python-based automation.
Designs and maintains AWS-based cloud platforms, automates infrastructure, and ensures security, scalability, and cost efficiency for a digital product studio.
DevOps Engineer operating and evolving a Kubernetes and microservices-based infrastructure, handling daily cluster operations, CI/CD deployments with Helm and Kustomize, and observability using Prometheus, Grafana, and ELK stack.
Senior DevOps Engineer owning the operational stability of an internal cloud Big Data platform built on IONOS infrastructure, using Kubernetes, Terraform, ArgoCD, and open-source data tools with L2/L3 support duties.
Lead the backend team at Stowlog, building and scaling a NestJS/TypeScript backend with MongoDB (migrating to PostgreSQL), defining API guidelines, implementing observability, and managing DevOps infrastructure.
Leads AI platform development for a fintech company, designing agentic AI systems, LLMOps pipelines, and compliance controls while mentoring engineers and shaping technical direction.
Senior DevOps Engineer at a deep tech AI and robotics company in Singapore, managing hybrid infrastructure (AWS and Proxmox), CI/CD pipelines, and collaborating with C++ developers to ensure secure, scalable, and reliable systems.
Builds AI-powered CLI tools and SDKs in Go/TypeScript for API governance and developer workflows, including packaging, telemetry, and cross-platform distribution.
Lead enterprise observability strategy and hands-on implementation at Truist, covering metrics, logs, traces, telemetry pipelines, and Kafka/event-streaming integrations using OpenTelemetry, Kubernetes, and cloud-native tooling.
The DevOps Engineer will design and maintain infrastructure, CI/CD pipelines, and operational processes for a large-scale banking platform using AWS and on-premises systems. The role focuses on automation, container orchestration, and observability to ensure platform reliability and efficient software delivery.
This role involves building large-scale distributed backend systems, graph-based data models, and high-throughput data pipelines for a US-based cybersecurity SaaS platform. You will join a founding R&D team in Ho Chi Minh City, utilizing Python, Go, and various cloud and database technologies to develop AI-ready security infrastructure.
Senior Software Engineer designing and building large-scale distributed backend systems, graph-based data models, and high-throughput data pipelines for a SaaS cybersecurity and Agentic AI platform, using Python and Go.
The Senior DevOps Engineer will design, automate, and maintain cloud infrastructure and CI/CD pipelines for a multi-tenant SaaS platform. The role focuses on AWS, Kubernetes, and observability to improve developer productivity and system reliability.
Designs and deploys agentic AI systems for medical imaging, combining LLMs, RAG, knowledge graphs, and tool orchestration to solve complex healthcare workflows.
Lead a team building scalable fintech platforms in Java/Spring, modernizing enterprise systems with AI-first practices and event-driven architectures for millions of users.
The Senior DevOps Engineer will design, build, and maintain a high-scale observability platform using ClickHouse, HyperDX, and OpenTelemetry on Kubernetes. This role involves end-to-end ownership of telemetry pipelines, infrastructure automation, and partnering with SRE teams to improve production reliability and incident response.
This role is a senior technical leadership position responsible for designing and modernizing enterprise financial platforms using Java and AI-driven development practices. The lead engineer will manage teams, define technology roadmaps, and implement scalable, secure solutions for stock plan administration and workplace intelligence.
Job Description As a Senior Engineer 2, you'll be part of a key team of Nordstrom Technology professionals who apply engineering and design principles to build the platform that brings Nordstrom's supplier…
The Senior Machine Learning and Artificial Intelligence Scientist will lead the development and production deployment of advanced AI and ML solutions, including generative AI and multi-agent systems, to drive business impact. The role involves working across cloud-native architectures like Azure, Databricks, AWS, and GCP to build scalable, reliable, and governed AI products.
Designs and leads GenAI and Agentic AI solutions across multi-cloud environments, focusing on RAG, AI agents, and end-to-end architecture for data, integration, and security. Works with AWS, Azure, and GCP to build scalable, production-grade AI systems with governance and LLMOps practices.
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