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The Cloud Data Engineer will work on a media project to modernize data engineering solutions by migrating processes to a Databricks-based architecture on AWS. The role involves developing scalable data processing pipelines and collaborating directly with the client.
This role involves backend development for a software house, focusing on building and maintaining software solutions using Python, REST APIs, and various database technologies within an Agile team.
The Systems Architect acts as a trusted advisor to enterprise customers, assessing their current technology landscapes and designing future-proof infrastructure roadmaps. The role focuses on aligning business objectives with cloud, container, and virtualization technologies, requiring expertise in platforms like OpenStack and Kubernetes.
This DevOps/Platform Engineering role involves building and maintaining cloud infrastructure, CI/CD pipelines, and containerized applications for government-facing services. The position focuses on implementing Infrastructure as Code, ensuring system security and reliability, and supporting production operations using AWS and modern DevOps practices.
Leads a small team of .NET engineers to build and deliver backend features for Veeam’s Office 365 backup product using C#, .NET 8, and cloud platforms.
Lead a DevOps team to design, deploy, and secure AWS-based cloud infrastructure for clients across diverse industries, using modern tooling like Kubernetes, Terraform, and CI/CD pipelines.
Pre-sales solution architect bridging customer needs and AWS-based application modernization, designing scalable cloud-native architectures with Java and DevSecOps practices.
Build and deploy a custom Salesforce integration with Anthropic’s Claude Model Context Protocol (MCP) to enable seamless client functionality, troubleshooting non-native connectors and supporting active project development.
Leads the architecture and modernization of Microsoft Dynamics 365 Finance & Operations for a large enterprise, defining ERP roadmaps, integration patterns, and cloud strategies while aligning solutions with business goals and governance standards.
The Cybersecurity & IT Operations Associate supports REGENT's IT infrastructure and security compliance as part of the DOD SkillBridge program. The role involves managing user access, maintaining secure networks, performing vulnerability scans, and providing IT helpdesk support for a growing team.
Designs and governs end-to-end lab orchestration architectures that connect scientific informatics, data pipelines, and physical lab systems, ensuring performance, security, and scalability for automated research workflows.
Builds and operates cloud-native bioinformatics platforms on AWS, deploying Scala/Java microservices to EKS and integrating AI-driven tools for scientific research teams.
The Full Stack Software Engineer will build and maintain scalable backend services in Go and data pipelines for a biomedical research SaaS platform, while also contributing to frontend development using TypeScript and Angular. The role is based in Auckland and involves working with cloud-native infrastructure on Google Cloud Platform.
The Junior DevOps Engineer will join the Cloud Foundation group to build and maintain infrastructure supporting AI-driven development lifecycles and agentic systems. The role involves optimizing cloud infrastructure, managing CI/CD pipelines, and improving observability using tools like AWS, Kubernetes, and modern automation frameworks.
The Senior Software Engineer will design and maintain the LN Runtime Platform, focusing on cloud transformation, performance optimization, and platform modernization using C and C++. The role involves working with cross-functional teams to evolve core infrastructure and integrate AI-driven development practices.
A Test Automation Consultant bridges development and testing teams, integrating tools/frameworks into software development processes. Daily tasks include advising clients on test automation strategies, optimizing CI/CD pipelines, designing contract testing for microservices, and training teams in best practices.
The Senior DevOps/MLOps Engineer will design and manage cloud-native infrastructure, automate system operations, and support the deployment and scaling of machine learning services using tools like Kubernetes and GitLab.
This role involves designing and building high-scale backend services and web scraping endpoints using Go and Node.js/TypeScript. You will maintain infrastructure handling massive data traffic and collaborate on architecture within a large-scale distributed systems environment.
Senior SRE builds and automates cloud-native reliability for a large-scale SaaS platform on GCP/AWS, improving observability, deployment safety, and incident response.
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