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ML / Backend Engineer @ Sqwish
Build backend infrastructure for AI systems that learn from real-world outcomes, using Rust and Python to create low-latency APIs, data pipelines, and observability tools.
Senior DevOps Engineer: AWS & Kubernetes (Hybrid)
Senior DevOps Engineer maintaining AWS and Kubernetes infrastructure for a public-sector product team, automating CI/CD pipelines and ensuring platform reliability.
Senior DevOps Engineer - AWS Infrastructure Architect
Senior DevOps Engineer designs, deploys, and secures AWS infrastructure for a fast-growing logistics platform, using Terraform, Kubernetes, and CI/CD pipelines to ensure high availability and cost efficiency.
Senior DevOps Engineer (Infrastructure & MLOps)
Designs and manages cloud infrastructure and CI/CD pipelines for AI/ML platforms using AWS, Docker, Kubernetes, and GitHub/GitLab, while implementing MLOps workflows.
DevOps Engineer: Flexible Hours & Learning Budget
Design, build, and maintain secure, scalable systems and CI/CD pipelines across AWS, Azure, and on-premises for mission-critical projects in an agile team.
Contract DevOps Engineer (SC Cleared)
Maintain and automate a secure, cloud-native container platform for UK government programmes using Kubernetes, Terraform, and CI/CD pipelines.
Senior Backend Engineer
Build and scale backend systems for AI-powered telecom Voice AI products, integrating ML pipelines and real-time telephony infrastructure using Go, Python, and Kubernetes.
Cloud DevOps Engineer — Hybrid, High Availability
Designs and maintains secure, scalable cloud infrastructure and CI/CD pipelines for digital/broadcast platforms using IaC, Prometheus, Grafana, and ELK.
Senior Backend Engineer (Java)
Build and evolve the Unified Profile service that powers user identities and preferences across Benifex’s reward and benefits platform using Java, Spring Boot, and event-driven architecture.
Cloud Native DevOps Engineer - (AWS)
Build and automate secure, scalable AWS cloud infrastructure using IaC (Terraform/CloudFormation), CI/CD pipelines, and Kubernetes, while monitoring performance and security.
Backend Engineer (Go)
Build and maintain high-traffic Go APIs and microservices in AWS, using MySQL, DynamoDB, and Redis while ensuring security and performance for a large user base.
DevOps Engineer (DV Cleared)
Build and automate secure cloud platforms and CI/CD pipelines for UK Government and Defence programmes using AWS, Azure, Kubernetes, Terraform and DevOps practices.
Senior Backend Engineer
Build and maintain backend services and APIs for a SaaS security platform that protects enterprise cloud apps like Microsoft 365 and Salesforce using Python, Go, and cloud-native tools.
Cloud Platform Backend Engineer
Builds and maintains the cloud infrastructure that powers Grafana Cloud, focusing on reliability, scalability, and automated deployments in a SaaS environment.
Staff / Senior Software DevOps Engineer
Own and scale the CI/CD and test infrastructure for an AI hardware accelerator stack, ensuring fast, reliable, and cost-efficient validation across simulation and prototype hardware.
Senior DevOps Engineer, Machine Learning
Senior DevOps Engineer builds and scales Roku’s cloud-agnostic platform using Kubernetes, Istio, and observability tools, ensuring reliability and global scalability for streaming infrastructure.
Backend Engineer
Build and maintain scalable backend services for a fintech app that automates saving and investing, using Kotlin/Spring Boot and Python/FastAPI on GCP.
Technical DevOps Engineer - DV
Design, build, and maintain secure, scalable cloud and on-prem systems; automate CI/CD pipelines, manage IaC, and support multi-cloud AWS/Azure deployments for mission-critical projects.
Senior Azure DevOps Engineer
Build and maintain Azure-native CI/CD pipelines, infrastructure-as-code, and cloud platforms for a healthcare SaaS provider, ensuring security, scalability, and high availability.
DevOps Engineer (Based in Dubai)
Lead a DevOps team to build and run secure, scalable Kubernetes/OpenShift platforms with CI/CD, IaC, and observability, supporting AI/data workloads in a hybrid Azure/on-prem environment.