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Build and own AI-powered SRE platforms that other teams depend on, driving reliability, scalability, and adoption through hands-on engineering and relentless iteration.
Builds and improves Google Kubernetes Engine’s autoscaling systems, working across the full stack to enhance performance and cost efficiency for containerized workloads.
Senior Linux System Administrator manages and automates UNIX infrastructure for the National Center for Biotechnology Information (NCBI), handling provisioning, monitoring, troubleshooting, and mentoring junior staff while using Puppet for configuration management and scripting in Python/Bash/Ruby/Perl.
Senior engineer builds and scales Kubernetes control planes for AI compute fleets, extending the scheduler and core services to handle thousands of accelerators across multiple clouds.
The Java Fullstack Developer will design and maintain scalable applications for logistics, rail, and freight sectors using Java, Spring Boot, and modern frontend frameworks like Angular or React. The role involves working in a DevOps-driven environment with cloud infrastructure, microservices, and CI/CD pipelines.
Lead Cloud Security Engineer owning CSPM, vulnerability management, and container security across a multi-cloud, cloud-native DevOps environment using Kubernetes, Terraform, and IaC/PaaC approaches.
InMobi Advertising is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business…
The DevOps Engineer will provision infrastructure and manage CI/CD pipelines using GitLab, Terraform, and Kubernetes. The role involves troubleshooting microservices, implementing monitoring with Prometheus and Datadog, and integrating AI models within a hybrid work environment.
Senior DevOps Engineer owning the cloud-native infrastructure roadmap—designing Kubernetes clusters, building IaC with Terraform/Pulumi, implementing GitOps CI/CD pipelines, and maintaining observability/SRE practices on AWS/GCP/Azure.
The Backend Developer will build and maintain scalable microservices using Java and Spring Boot. The role involves collaborating with cross-functional teams to implement secure APIs, manage cloud deployments, and ensure code quality through automated testing.
Data Engineer designing and maintaining real-time data pipelines on GCP for a streaming platform, using Terraform, Kubernetes/GKE, and observability tools.
The Senior DevOps Engineer will design and maintain cloud-native platforms on Google Cloud Platform, focusing on infrastructure automation, GKE management, and CI/CD workflows. The role involves collaborating with engineering teams to execute infrastructure migrations and ensure production readiness.
Cloud DevOps Engineer building and automating cloud platform foundations (CI/CD, IaC, golden paths) used by multiple product teams, primarily with Terraform, Azure DevOps, and GCP.
The Senior Backend Software Engineer will design, develop, and maintain secure backend services and integrations for an E-Citations application using .NET and cloud-native technologies. This hybrid role involves working with enterprise systems, data pipelines, and CI/CD workflows to ensure scalable and secure production performance.
Senior Platform Engineer at IG Group, a FTSE250 fintech firm, based in Central London — building and maintaining web, mobile, and desktop trading platforms for stocks, leveraged products, futures, options, and crypto.
The Senior AI/ML Engineer will design, build, and maintain ML-powered features within Bloomreach's personalization platform. The role involves working with Python, GCP, and various ML frameworks to deploy scalable, high-performance models into production environments.
Senior SRE builds and runs the reliability, observability, and automation backbone for Bloomreach’s AI-powered data platform, ensuring pipelines to Snowflake, BigQuery, and Databricks stay fast, secure, and customer-ready.
Build and maintain backend services powering Bloomreach’s AI-driven personalization platform, using Python, Java/Spring, or Go on AWS/GCP with Kubernetes.
Operationalize and deploy ML/AI models on Google Cloud Platform using Vertex AI, building end-to-end pipelines and infrastructure for automated, scalable model production.
This role involves designing and maintaining scalable backend services using Kotlin and cloud-native infrastructure on GCP within a front office engineering team. The engineer will work in a highly collaborative environment using Extreme Programming (XP) practices like mob programming and TDD to support a greenfield application.
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