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Network & Infrastructure Architect/Engineer supporting the U.S. Department of Veterans Affairs EHRM SISS program. Focuses on cloud and network architecture, infrastructure, observability, security, and healthcare IT integrations with Oracle Cloud Infrastructure (OCI) networking expertise.
The DevOps & SRE Engineer will manage the reliability, performance, and automation of large-scale distributed systems. The role requires strong programming skills in Python, Go, or Java and extensive experience with Linux, Kubernetes, and observability tools.
This role involves modernizing legacy federal mainframe systems into cloud-native microservices using Java, Kubernetes, and AWS GovCloud. The developer will work in an Agile environment, participate in an on-call rotation, and contribute to mission-critical government IT infrastructure.
Build and maintain the AI and internal developer platforms, automating cloud resources, Kubernetes clusters, and CI/CD workflows for ML and dev teams using Azure, Terraform, and GitOps.
Senior Software Engineer at Barclays designing and delivering large-scale distributed systems in Java with DevOps, event-driven architectures, and cloud-native technologies, based in Prague.
Own the diagnostic and evaluation loop for LLM-based clinical services—form root-cause hypotheses on failure modes, design experiments, and verify fixes using structured evals (golden sets, regression suites). Core tech: Python, SQL, LLM evaluation tooling, and observability stacks.
Lead SRE focused on designing and implementing AI-driven solutions for observability, intelligent alerting, and automation in fintech applications, ensuring reliability and scalability of AI-powered infrastructure.
Designs AI-powered conversational banking assistants, translating business processes and customer needs into AI experiences while analyzing conversation logs to drive continuous improvement using generative AI and LLM-driven systems.
Develop and maintain APIs and back-end services with Java (Spring Boot), PostgreSQL/MySQL/MongoDB, Kafka/RabbitMQ, Redis, Docker, Kubernetes, and cloud (AWS/Azure). Focus on scalability, quality, and integration with other systems.
Job Title: Site Reliability Engineer (SRE) III – Platform Engineering & Systems Reliability The Role: CME Group is seeking a Site Reliability Engineer (SRE) III to engineer reliability for our Google Cloud (GCP)…
“I can be myself at work.” You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and…
FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we’re making it easier for buyers…
Backend Engineer for Eazli, an AI-native marketplace in Jeddah, building scalable APIs and AI-integrated services for home products/services. Core tech: Python, FastAPI, PostgreSQL, Kafka, Redis, Kubernetes, and AWS.
MLOps + DevOps Engineer responsible for operating an AI-native platform with agentic systems, ML workloads, and backend services on AWS. Core technologies include AWS (EKS, Lambda, Bedrock, SageMaker), Kubernetes, Kafka, Terraform, and observability stacks like Grafana, Prometheus, and OpenTelemetry.
Beacon AI is seeking Cloud and ML Infrastructure Engineers to build and maintain scalable AWS infrastructure and LLM platforms for aviation systems. The role involves designing RAG pipelines, managing model inference, and ensuring secure, high-performance deployments using tools like AWS, Python, and LangChain.
Architect and build a globally distributed Model-as-a-Service platform using Go, Kubernetes, PostgreSQL, Redis, and Kafka—handling API compatibility, token metering, multi-tenant security, and production reliability for a crypto infrastructure company.
Build components for a multi-region observability and automation platform—ingestion, query, storage, alerting, topology, remediation, and workflow code—using Go/Python/Java/Rust with OpenTelemetry, Prometheus, Grafana, and Kubernetes.
Build AI-native SaaS backend features end-to-end, from APIs to data flows, using Go/Java/Python/Node.js on AWS/GCP/Azure, while collaborating with global teams.
Build and operate the monitoring and automation substrate for Bitdeer’s global AI GPU cloud, using Go and Kubernetes to collect, store, and alert on fleet-wide telemetry while learning from senior engineers.
Leads a team building scalable Python/FastAPI backend and React frontend systems on AWS, while mentoring engineers and driving high-quality, test-driven development in an agile environment.
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