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DevOps & Cloud Engineer designing and managing enterprise Kubernetes platforms, automating infrastructure with IaC, and building CI/CD pipelines at an Italian digital transformation consultancy.
Implement and maintain cloud infrastructure for clients using AWS, Azure, Kubernetes, and CI/CD pipelines while ensuring monitoring and logging are in place.
Lead DevOps Engineer for JPMorgan’s electronic market-making team, maintaining high-performance trading infrastructure with automation, CI/CD pipelines, and multi-region deployments to ensure uptime and scalability in live financial markets.
Platform engineer building internal infrastructure tooling—CMDB, asset management, DCIM, monitoring, and automation—using Python/Go, PostgreSQL, Redis, Docker, and Terraform at a cloud compute provider.
Build and enhance data pipelines and automation workflows on Azure for large-scale data ingestion and processing Maintain and optimise existing toolkits, databases, dashboards, and API-based solutions Develop…
Design and build scalable data pipelines and platforms using PySpark, Snowflake, and AWS to support machine learning solutions, while mentoring engineers and driving best practices at Sainsbury's.
Role Overview We are seeking an experienced Full Stack Developer with strong expertise in Node.js , Next.js , Angular , and cloud-native microservices . The ideal candidate will have a proven track record in designing,…
Maintains and improves secure, high-availability on-prem Kubernetes/OpenShift clusters and DevOps tooling for a government-aligned organization.
Senior DevOps Engineer transforming an AWS-heavy estate, focusing on growing Kubernetes. Day-to-day tasks include building/deploying apps, maintaining pipelines, and guiding teams; core tech includes AWS, Kubernetes, and GitHub Actions.
SC-cleared DevOps Engineer maintaining secure, high-performing infrastructure in a defence/critical environment, focusing on on-prem Kubernetes/OpenShift, Terraform, Jenkins CI/CD, and observability tooling (ELK, Splunk, Grafana).
Build and maintain AWS infrastructure and CI/CD pipelines using CloudFormation, CDK, and TypeScript, while supporting observability and reliability for cloud-native applications.
A DevOps Engineer who designs, automates, and maintains secure, scalable infrastructure for critical services using Kubernetes/OpenShift, Terraform, CI/CD pipelines, and cloud platforms (Azure/AWS).
DevOps Engineer at ANS Group delivering proactive DevOps services to multiple customers, managing Azure and AWS environments with a focus on automation, CI/CD pipelines, containers, and infrastructure as code.
Software engineer on the Media Distribution Analytics team building and maintaining petabyte-scale data pipelines, real-time stream processing, and data products for BBC's streaming platforms (iPlayer, BBC Sounds) using Python/SQL/Java, cloud services, and tools like Spark, Kafka, or Flink.
Backend developer building scalable Java/Spring Boot services and APIs for UK government digital projects, with a focus on integrating agentic AI (LLM agents, RAG) into the engineering platform.
6-month contract iOS Engineer role in Manchester (1 day/week onsite) building native iOS features with Swift, SwiftUI, and UIKit alongside a TypeScript-based backend-driven UI solution.
Design and implement scalable, reliable infrastructure and observability systems for a fintech platform, using Kubernetes, AWS, and Terraform to set SLOs and automate incident response.
Install, maintain, and monitor data center IT infrastructure (servers, switches, firewalls, storage, cabling) on-site in Jakarta, using virtualization platforms like VMware ESXi/Proxmox/KVM/OpenStack and monitoring tools like Zabbix/Grafana.
An internship assisting senior engineers in executing small-to-medium data engineering projects, contributing to APIs, scripts, and bug fixes while learning fintech-focused data platforms (BigQuery, Airflow) and DevOps tools (Kubernetes, Terraform) on Google Cloud.
Senior Data Solutions Engineer designing and implementing data engineering pipelines, advanced analytics, and modern data solutions (Lakehouse, data mesh, data fabric) using SQL, Python, and BI tools like Power BI in a hybrid role in South Africa.
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