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The Infrastructure Engineer will design, maintain, and automate scalable cloud infrastructure for decentralized nodes and support node operators. The role focuses on CI/CD, observability, and security using tools like Kubernetes, Terraform, and various cloud platforms.
Senior Platform Engineer at Anaplan in Manchester builds and scales the next-gen hybrid-cloud platform using Kubernetes, Rust/Java, and distributed systems, enabling enterprise SaaS customers to run scenario planning at scale.
Build and scale the MLOps/LLMOps infrastructure for Anaplan’s AI-infused scenario-planning platform, automating model training, deployment, and GPU-optimized inference in Kubernetes.
The Data Engineer will design and optimize big data processing pipelines using Apache Spark, Scala, and Elasticsearch within the Quantexa software ecosystem. The role involves collaborating with cross-functional teams to implement scalable data solutions on OpenShift and supporting compliance-focused financial projects.
This role involves designing and building backend infrastructure for AI platforms and agentic workflows, including API development, task orchestration, and LLM integration. The engineer will work with Golang or Python to scale services and productionize AI models.
DevOps Engineer (AVP) at Citi designing and optimizing CI/CD pipelines, cloud/OpenShift infrastructure, and automation frameworks using Jenkins, Terraform, Ansible, Kubernetes, and AWS.
Develops backend services using Go and Python, maintaining scalable cloud infrastructure for a web services provider.
Full Stack Developer with DevOps duties building and deploying web/mobile apps using JavaScript/TypeScript, React/Node.js, PostgreSQL, Docker, and cloud platforms for a Philippine distribution company.
The Cloud DevOps Engineer will design, deploy, and manage Kubernetes clusters on GKE and operate the enterprise Harness CI/CD platform. This role focuses on building scalable, secure, and automated deployment pipelines while ensuring platform reliability and compliance within a healthcare environment.
Backend Software Engineer designing and building enterprise Java (Spring Boot) and Python backend systems, microservices, and internal platforms while leveraging AI-assisted development tools.
This role is a 12-month engagement for a Python Developer to manage containerized workloads, CI/CD pipelines, and system observability. The developer will focus on scaling Kubernetes clusters, performance tuning, and implementing robust monitoring solutions.
Senior SRE Engineer at Navan in Tel Aviv builds and maintains reliable, scalable platforms for AI-powered travel and expense systems, focusing on observability, automation, and AI provider integrations.
Обязанности: Автоматизация процессов развёртывания новых сред, их тестирование и эксплуатация Повышение надёжности, производительности, снижение времени настройки и обслуживания используемых решений Разработка,…
Мы ищем SRE/ Linux Engineer, который будет отвечать за стабильность, надежность и развитие инфраструктуры компании. В этой роли вам предстоит поддерживать production- и staging-среды, обеспечивать высокую доступность…
Senior SRE owning uptime and operational quality for a distributed camera-based video monitoring and AI alerting platform spanning AWS Java microservices, GPU-backed computer-vision pipelines, Kafka streaming, and thousands of on-premise edge media boxes.
WellSaid Labs is seeking a Senior Site Reliability Engineer to manage their AI voiceover platform's production infrastructure, security, and availability. The role involves building monitoring systems, managing cloud environments (AWS/GCP), and optimizing deployment pipelines using tools like Kubernetes and Terraform.
DevOps Engineer at Capgemini Singapore designing and maintaining CI/CD pipelines, managing AWS cloud infrastructure, and automating with Docker, Kubernetes, and IaC while ensuring monitoring and security compliance.
AWS Data Engineer building data platforms—handling data acquisition, transformation, cleansing, and loading into data lakes for analytics and ML—using AWS services, IaC, CI/CD, and container orchestration.
Azure Data Engineer bridging Data Science and Data Engineering, building data acquisition, transformation, and loading pipelines into data lakes for analytics and ML using Azure Data Factory, Synapse, Databricks, and Spark.
DevOps Engineer designing and evolving scalable cloud infrastructures and robust CI/CD pipelines using AWS/Azure, Kubernetes/OpenShift, and Terraform, with monitoring via ELK/Prometheus/Grafana in Agile teams.
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