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This role involves architecting and building autonomous AI agents and RAG pipelines to automate enterprise workflows for non-technical users. The engineer will work on the full stack of LLM orchestration, tool-use, and production deployment using technologies like Python, Spark, and various vector databases.
The Cloud Security Architect will design and implement secure cloud architecture patterns, analyze threats, and ensure compliance for hybrid and multi-cloud environments, primarily focusing on Azure. The role involves collaborating with business and technical teams to integrate on-premise and cloud services securely.
Designs, develops, and maintains critical network infrastructure (proxies, meshes, libraries) for Apple’s cloud services, ensuring secure, scalable connectivity at global scale.
The Product Manager will lead the strategy and roadmap for internal risk-prevention and security software, transforming manual processes into scalable, automated products. They will collaborate with engineering teams to build tools for access governance, vulnerability mitigation, and AI guardrails.
Senior Data Scientist on Google's Reliability Analytics team designing statistical, ML, and AI tools alongside data pipelines to improve Google Cloud Platform reliability, focusing on change supervision and software rollouts.
Software Engineer III on Google's Core Communications infrastructure team, designing and deploying high-performance backend services and APIs, and modernizing core platform components at massive scale.
Designs and ships cross-platform AI-powered terminal tools (macOS, TUI, Windows/Linux, iOS, Cloud) for developers, focusing on native macOS aesthetics, interaction models, and shipping prototypes in code.
Designs and builds secure, scalable Azure platforms using Terraform and Azure DevOps, leading cloud transformation and mentoring teams for enterprise workloads.
Own the full data lifecycle in Azure: build Python-based data pipelines, FastAPI services, and AI integrations, then deliver dashboards and containerized apps on AKS.
The Azure Data Platform Engineer designs, deploys, and supports enterprise-grade Azure data and analytics platforms. The role involves managing Terraform-based infrastructure, building CI/CD pipelines, and collaborating with data engineering teams to ensure scalable and cost-effective solutions.
Build and maintain large-scale data architectures using Scala, Spark, and Hadoop to process and store datasets, while ensuring security and compliance.
Build and operate the Kubernetes-based platform that runs, tests, and deploys autonomous agents; own CI/CD, cloud infrastructure, networking, and observability tooling.
This role involves leading infrastructure initiatives, managing network and security configurations, and performing server administration across diverse platforms. The engineer will also support CI/CD pipelines, troubleshoot IoT/OT devices, and implement security controls in a hybrid, 12-month contract position.
Provide Azure DevOps and Terraform expertise to resolve escalations, mentor teams, and ensure IaC best practices for cloud infrastructure management.
This DevOps role involves managing and automating enterprise infrastructure on Microsoft Azure using Infrastructure as Code (IaC) and Configuration as Code (CaC) principles. The developer will focus on optimizing Ansible playbooks and modernizing configuration management solutions within an Agile environment.
The AI Platform Engineer will build and maintain enterprise GenAI, LLM, and MLOps platforms, focusing on RAG services, CI/CD pipelines, and DevOps automation. This role is based in Halifax and requires a hybrid work schedule with four days in the office.
The AI Platform Engineer builds and operates enterprise GenAI and LLM platforms, focusing on MLOps frameworks, RAG, and CI/CD automation. The role requires expertise in Kubernetes, Docker, and Python or TypeScript to support distributed AI services and developer experience.
LGS is seeking a DevOps Developer to automate and transform client environments on Azure using Infrastructure as Code (IaC) and Configuration as Code (CaC). The role involves working in an agile, multidisciplinary team and providing technical mentorship.
The DevOps Developer will design and maintain Infrastructure as Code (IaC) and Configuration as Code (CaC) solutions within Microsoft Azure. The role focuses on migrating configurations to Ansible and optimizing CI/CD pipelines in a hybrid, Agile environment.
Builds and maintains scalable Java microservices and event-driven systems using Apache Kafka in a collaborative Agile team.
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