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Senior eDiscovery Analyst advising litigation case teams on ESI preservation, collection, processing, review, and production using RelativityOne, its aiR generative-AI suite, and cloud/collaboration data sources in a remote-first role at a global IP law firm.
Senior DevOps/DevSecOps consultant role at Combitech, placed at client sites (mainly defense industry), building CI/CD pipelines, managing Kubernetes and IaC (Terraform/CloudFormation), and integrating security on AWS and Azure.
Lead and mentor a team building scalable Java/Spring Boot microservices for a healthcare fintech payment platform, deploying on cloud (Azure/AWS/GCP) with Docker, Kubernetes, and CI/CD pipelines.
The Data Engineer will develop and optimize data pipelines and maintain a Data Lakehouse architecture on Azure. The role involves designing ETL/ELT processes and collaborating with data scientists and analysts to ensure data quality and consistency.
Manages a team overseeing compliant document control for a gene-therapy manufacturer, using an eQMS like Veeva Vault to maintain SOPs, batch records, and regulatory documentation.
Oversee quality assurance for AAV gene therapy manufacturing, reviewing batch records, ensuring cGMP compliance, and supporting cleanroom operations in a biotech facility.
Maintain and modernize a NATO air command-and-control system’s hybrid infrastructure, automating deployments with cloud-native tooling and container orchestration.
About Kaseya Kaseya is the leading provider of AI-powered IT management and cybersecurity software, serving Managed Service Providers (MSPs) and internal IT organizations worldwide. Our comprehensive platform helps…
The AWS DevOps Architect will work onsite in Atlanta or Grand Prairie, utilizing tools such as Harness CI/CD, GitHub Actions, AWS DMS, AWS SCT, and Hashicorp Vault. The role requires 15 years of professional experience.
Salary: £46,000 - 50,000 per year Requirements: 8+ years in security architecture and/or platform engineering, with a track record of shipping production code Principal-level depth, ideally in a high-velocity or quant…
Salary: £? - ? per year Requirements: Strong experience across most of the following technologies: Kubernetes, Docker, Helm, AWS, Terraform, Jenkins, Linux, Amazon RDS, Bitbucket, Grafana, Prometheus and Kibana, CI/CD…
Salary: £95,000 - 105,000 per year Requirements: Strong Azure architecture experience, including App Services, AKS, Functions, API Management, Logic Apps, Service Bus, Azure SQL, and Key Vault Experience with…
The Senior Cloud Engineer will design, automate, and maintain enterprise-scale multi-cloud environments using AWS, Azure, and GCP. The role focuses on building IaC pipelines, managing containerized infrastructure with Kubernetes, and ensuring cloud security and performance optimization.
The Data Analyst will design and implement scalable cloud-based data solutions while acting as a bridge between business stakeholders and IT teams. The role focuses on transforming complex data landscapes using Microsoft Azure, SQL, and AI technologies to drive business insights.
Обязанности: Настройка и поддержка CI/CD пайплайнов (GitLab CI, GitHub Actions) Управление облачной инфраструктурой и серверами Контейнеризация приложений (Docker, Kubernetes) Контейнеризация приложений (Docker,…
Data Architect Executive Management Location: Indore Ascentt is building cutting-edge data analytics & AI/ML solutions for global manufacturing leaders. We turn enterprise data into real-time decisions using…
Designs, builds, and supports Microsoft Fabric and Azure-based data and analytics solutions for clients, translating business needs into scalable, secure, and maintainable systems while mentoring teams and ensuring high engineering standards.
As a Principal Data Engineer Consultant, you will lead complex data and analytics engagements by owning end-to-end solution architecture on Microsoft Fabric and Azure. You will act as a senior technical authority, guiding teams, managing client stakeholders, and ensuring architectural integrity and delivery excellence.
Build and scale production AI systems for English Language Learning, developing agentic content generation workflows and LLM-powered services (Conversation Brain, Ambient ORA) that serve multiple Pearson products. Work with Python (FastAPI, CrewAI, LangGraph, LangChain), Azure, and observability tools to operationalize AI from research into production.
ЧЕМ ПРЕДСТОИТ ЗАНИМАТЬСЯ: Проектировать и внедрять сложные инфраструктурные решения: кластеры Kubernetes, гибридные среды (облако + bare‑metal) Автоматизировать рутину и типовые операции с помощью IaC (Terraform,…
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