Support the deployment, automation, integration, and operational management of enterprise-grade AI-driven customer experience solutions using Google GECX / CCAI platform experience.
Responsibilities
Design, implement, and maintain CI/CD pipelines for Google GECX / CCAI applications
Manage and automate deployments across Google Cloud Platform (GCP) environments
Support deployment and integration of Google Gemini, Vertex AI, Dialogflow CX, and Conversational Agents
Implement Infrastructure as Code (IaC) and automation solutions
Manage GCP services such as Cloud Run, Cloud Functions, Cloud Storage, BigQuery, and IAM
Requirements
Nice to have: Enterprise Contact Center support
Nice to have: Conversational AI platforms experience
Lead end-to-end analytics and digital transformation initiatives for clients, combining supply chain expertise, analytics capabilities, and consulting skills to design, deliver, and scale data-driven solutions.
Responsibilities
Lead end-to-end analytics and digital transformation initiatives
Design, deliver, and scale data-driven solutions
Combine supply chain expertise with analytics capabilities
DevOps Engineer to support end-to-end software delivery and platform operations, including infrastructure provisioning, CI/CD pipelines, and platform reliability.
Responsibilities
Provision and maintain software instances across development, test, and production environments
Apply Infrastructure as Code practices using Terraform
Manage cloud infrastructure on Microsoft Azure
Automate deployments and configuration consistency
Monitor deployment outcomes and support security, change, and release management controls
Seeking a highly motivated Senior Cloud Platform Developer to build automated solutions in the cloud, leveraging AI technologies and traditional development practices focusing on DevOps, IaC, and AI-driven automation.
Responsibilities
Design and implement automated cloud solutions using AWS services, ensuring scalability, resilience, and security.
Create and deploy AI agents to optimise operations, automate decision-making, and improve system responsiveness.
Develop and maintain CI/CD pipelines using tools such as Jenkins, GitLab, and GitHub Actions.
Build and deploy AI-enhanced automation workflows, integrating ML models and intelligent decisioning where applicable.
Automate infrastructure provisioning and configuration using Terraform, CloudFormation, or Ansible.
Requirements
Nice to have: AWS certifications (Solutions Architect, DevOps Engineer)
We are looking for a skilled DevOps Engineer with a passion for ML & AI workloads to build and operate the infrastructure behind our models, LLM features and research.
Responsibilities
Design, deploy and maintain the infrastructure for model serving, LLM gateways and LLM observability, across clouds, deployment types (SaaS, customer-hosted and government clouds) and new regions.
Own GPU infrastructure, including its capacity and cost efficiency.
Build secure, private connectivity to LLM providers and between clouds.
Keep our systems reliable: monitor them proactively, find and resolve issues before they affect customers, and take part in on-call.
Automate everything, and keep up with the latest infrastructure tools: evaluate new frameworks and take the ones that prove themselves from POC to production.
Requirements
Nice to have: running ML models or LLM-based systems in production
As a Site Reliability Engineer for Arrive Logistics, you will be responsible for building a purposeful, proactive, and sustainable approach to reliability based on core SRE principles and practices. Your role covers the entire life-cycle of a product: from helping engineering teams with architecture and delivery to on-call incident response and triage.
Responsibilities
Create monitoring, alerting and dashboarding solutions that improve visibility into Arrive’s application performance and business metrics.
Deliver features and fix bugs to ensure the reliability of systems, including supporting teams by contributing code to their back-end and front-end applications.
Collaborate with others to architect and design production applications against critical challenges at the software and cloud infrastructure level.
Perform root cause analysis and post-mortems with an eye towards future prevention.
Create automation to ensure repeatability, eliminate toil, and reduce mean time to detection and resolution.
Engage with stakeholders to understand their technical needs, constraints and delivery requirements, and translate them into effective Cloud & DevOps service implementations.
Deliver and onboard approved Cloud & DevOps services, packaged solutions and platform capabilities, with a strong focus on AWS and GCP application environments and Kubernetes-based delivery.
Configure, integrate and validate service components using tools such as GitLab, ArgoCD, Kubernetes, Terraform, Vault and cloud-native services.
Identify opportunities for automation and contribute to repeatable delivery patterns, pipelines, and service improvements.
Promote standardization, automation and reusable patterns to ensure consistent, secure and transparent service delivery.
Designing, developing, and operating scalable self-service platforms that power hundreds of applications across hybrid and cloud-native environments to empower product teams.
Responsibilities
Design, implement, and maintain modern platform solutions that empower developers with fast, frictionless, and self-service access to runtime environments
Collaborate closely with software engineering teams to co-design platform capabilities and provide them with a modern, customisable developer workplace
Develop intelligent automations to streamline platform operations, deployments, and maintenance tasks
Ensure high availability, performance, scalability, and security of owned services, applying high-quality principles and proactive resilience engineering
Provide support to key stakeholders, addressing complex technical challenges with a consultative approach
Site Reliability EngineerArrive Logistics · Austin, US