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Role Overview We are seeking a highly skilled and motivated GCP Cloud Systems Engineer to lead the design, deployment, and operational excellence of our Google Cloud Platform (GCP) environment. A key focus for this role will be to work with a transitional team of our legacy on-premises environment to a modern, cloud-native orchestration framework. The ideal candidate is a hybrid of a Systems Administrator and a DevOps Engineer— someone who is comfortable writing Terraform code, troubleshooting networking issues or migrating a legacy scheduler to Airflow and providing support. Key Responsibilities Infrastructure & Automation Design, build, and maintain scalable cloud infrastructure using Infrastructure as Code (IaC), primarily via Terraform. Deploy and manage optimized Compute Engine’s, Google Kubernetes Engine (GKE) clusters, serverless options like Cloud Run or Cloud Functions. Configure and maintain Virtual Private Clouds (VPCs), including subnetting, firewall rules, hybrid connectivity (VPN/Interconnect), Cloud Load Balancing, Certificate management, and Cloud DNS to ensure secure and efficient traffic flow. Administer compute resources across Compute Engine, Cloud Run, and Cloud SQL. Security & Governance Implement and assist in the management of a robust security posture using IAM roles and permissions, ensuring the principle of least privilege across all projects. Manage secrets and sensitive configurations using GCP Secret Manager. Manage Cloud Armor for DDoS protection and Identity-Aware Proxy (IAP) for secure administrative access. Utilize Security Command Center to proactively identify and remediate vulnerabilities. Manage and assist in our ability to ensure the environment meets industry standards such as SOC2. Operations & Reliability Establish comprehensive monitoring and alerting frameworks using Google Cloud Observability. Develop and test automated backup and disaster recovery strategies. Perform regular system patching and image hardening. Cost Management (FinOps) Monitor cloud consumption and implement cost-saving measures (e.g., committed use discounts, right-sizing). Establish billing alerts and resource labeling standards. Migration & Data Orchestration (Priority Focus) Legacy Migration: Lead the strategic migration of batch scheduling workloads from on-premises systems to GCP Composer / Apache Airflow. DAG Development: Design and implement scalable, maintainable Directed Acyclic Graphs (DAGs) to automate complex data pipelines and batch jobs. Workflow Optimization: Analyze legacy batch schedules to identify opportunities for parallelization, optimization, and modernization in the cloud. Cutover Planning: Manage the risk and execution of "cutover" events, ensuring zero data loss and minimal downtime during the transition from on-prem to GCP. Operational Requirements & Availability Crucial Note on Availability: As this role is critical to the stability of our production environments, the successful candidate must be available for support during both standard business hours and non-business hours. This includes: Participation in an on-call rotation. Availability for emergency troubleshooting during weekends or overnight if a critical system failure occurs. Scheduling maintenance windows and migration cutovers during off-peak hours. Qualifications & Skills Minimum Requirements: Experience: 3–5+ years of professional experience managing production environments in Google Cloud Platform (GCP). Migration Expertise: 3–5 years of proven experience supporting the migration of on-premises batch scheduling systems to GCP Composer or Apache Airflow. IaC: Proven expertise with Terraform for provisioning cloud resources. Containers: Strong proficiency with Docker and Kubernetes (K8s). OS: Expert-level knowledge of Linux administration. Networking: Deep understanding of TCP/IP, DNS, and Load Balancing. Preferred Qualifications: Certification: GCP Professional Cloud Architect or Professional Data Engineer. CI/CD: Experience with GitHub Actions, GitLab CI, or Google Cloud Build. Scripting: Proficiency in Python (specifically for Airflow/Composer DAG development).

Who We Are Welcome to TELUS Digital — where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS , one of Canada’s largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture. With a global team across North America, South America, Central America, Europe, Africa, and APAC, we offer end-to-end expertise across various service offerings: Web, Mobile & Digital Marketing | Enterprise AI | Customer Care AI & Technology | Enterprise Technology Modernization From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are — all backed by the secure infrastructure and scale of our multi-billion-dollar parent company. About the Role Job Summary We are seeking an experienced AI Developer to design, develop, and deploy enterprise-grade AI solutions. The ideal candidate will have strong experience building Generative AI and LLM-based applications, integrating AI services into enterprise platforms, and developing scalable cloud-native applications. This role requires close collaboration with business stakeholders, architects, and engineering teams to deliver secure, production-ready AI solutions. Required Skills 7+ years of software development experience. 2+ years of hands-on experience with Generative AI/LLM application development. Strong programming skills in Python (preferred) and/or Java. Experience with OpenAI, Azure OpenAI, Anthropic, Gemini, or similar LLM platforms. Experience building AI applications using frameworks such as LangChain, LangGraph, Semantic Kernel, or LlamaIndex. Strong understanding of Retrieval-Augmented Generation (RAG), prompt engineering, vector databases, and AI agents. Experience developing REST APIs using FastAPI, Flask, Spring Boot, or similar frameworks. Experience with cloud platforms such as Azure, AWS, or Google Cloud. Knowledge of Docker, Kubernetes, CI/CD pipelines, and Git. Familiarity with SQL/NoSQL databases and vector databases (Pinecone, FAISS, ChromaDB, Weaviate, etc.). Strong debugging, analytical, and communication skills. Responsibilities Design and develop AI-powered applications using Large Language Models (LLMs). Build and optimize RAG pipelines and AI agent workflows. Integrate AI services into enterprise applications and APIs. Develop scalable backend services for AI solutions. Collaborate with architects, product owners, and business stakeholders to define AI use cases. Optimize AI model performance, cost, and response quality. Ensure security, governance, and compliance for AI implementations. Participate in code reviews, testing, and production deployments. Document AI solutions and mentor junior developers when needed.

Who We Are Welcome to TELUS Digital — where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS , one of Canada’s largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture. With a global team across North America, South America, Central America, Europe, Africa, and APAC, we offer end-to-end expertise across various service offerings: Web, Mobile & Digital Marketing | Enterprise AI | Customer Care AI & Technology | Enterprise Technology Modernization From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are — all backed by the secure infrastructure and scale of our multi-billion-dollar parent company. Location & Flexibility India Hybrid: Our team at TELUS Digital. To help retain our deep culture of collaboration, this role will maintain an in-office presence in a hybrid capacity . This role can be located in Bengaluru, India. The Opportunity Own the reliability, scalability, and performance of production systems and services. Design and implement highly available, fault-tolerant, and distributed infrastructure. Define and drive observability strategy, including monitoring, logging, and alerting. Build and maintain scalable CI/CD pipelines to enable fast and reliable deployments. Automate infrastructure provisioning and operational workflows using IaC tools. Lead incident management and root cause analysis (RCA) and implement preventive measures. Define and track SLIs, SLOs, and SLAs aligned with business and product requirements. Collaborate closely with engineering teams to improve system design, deployment processes, and operational excellence. …. Responsibilities 8+ years of experience in DevOps, SRE, or cloud engineering roles. Proven experience building software using Python, Go, Rust, or JavaScript, with strong scripting capabilities. Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Expertise in Infrastructure as Code tools like Terraform, Ansible, or CloudFormation. Strong experience with containerization (Docker) and orchestration (Kubernetes). Solid understanding of Linux systems, networking concepts, and security best practices (IAM, VPNs, firewalls). Experience with monitoring and observability tools like Prometheus, Grafana, ELK Stack, New Relic, or Datadog. Proven experience in building and maintaining CI/CD pipelines (CircleCI, ArgoCD, Jenkins, GitHub Actions, GitLab CI, etc. ). Deep hands-on experience owning cloud security end-to-end. Strong debugging and troubleshooting skills for complex production systems. Comfortable operating in fast-moving engineering environments, balancing long-term infrastructure investment with immediate operational needs. Experience owning and continuously improving on-call processes - including rotation design, escalation policies, runbook culture, and post-incident review cadence. Qualifications Bachelor’s degree in Computer Science, Engineering, or related field Bonus Points Experience with large-scale distributed systems and microservices architecture. Experience building and running operators on Kubernetes / knowledge of internals. Hands-on experience with cost optimization and capacity planning in cloud environments. Experience mentoring engineers and driving engineering best practices. Prior involvement in architectural reviews and cross-team technical decision-making. Strong understanding of compliance, security standards, and DevSecOps practices. Experience building internal developer platforms or self-service infrastructure tools. Development exposure: Experience contributing to backend services or application code (e. g., APIs, microservices) with strong software engineering fundamentals. MLOps experience: Familiarity with deploying, monitoring, and managing ML models in production, including tools like ML pipelines, model versioning, and data workflows. Equal Opportunity Employer At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence and performance without regard to any characteristic related to diversity. We will only use the information you provide to process your application and to produce tracking statistics. Since we do not request personal data deemed sensitive, we ask you to abstain from sharing that information with us. For more information on how we use your information, see our Privacy Policy .

Who We Are Welcome to TELUS Digital — where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS , one of Canada’s largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture. With a global team across North America, South America, Central America, Europe, Africa, and APAC, we offer end-to-end expertise across various service offerings: Web, Mobile & Digital Marketing | Enterprise AI | Customer Care AI & Technology | Enterprise Technology Modernization From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are — all backed by the secure infrastructure and scale of our multi-billion-dollar parent company. Location & Flexibility India Hybrid: Our team at TELUS Digital. To help retain our deep culture of collaboration, this role will maintain an in-office presence in a hybrid capacity . This role can be located in Noida The Opportunity We are seeking an experienced Business Intelligence (BI) Engineer to develop and maintain critical analytics modules within the TAC analytics platform. The majority of this role is developing code and visualizations using the Google Cloud Platform (GCP) Looker product to provide our customers with a productized and self-service capable analytics solution embedded in our product offerings. …. Responsibilities Proven experience in GCP Looker (Looker Core, not Studio) LookML and User-defined Dashboard Expertise SQL development and core competency in modeling data relationships Expert in all aspects of GCP Looker development Experience in other BI platforms a plus GCP BigQuery experience a plus Ability to gain expertise in multiple business data domains Problem-solving and application support capabilities Team-oriented Effective written and verbal communicator Qualifications Bachelor’s degree in Computer Science, Engineering, or related field Bonus Points Terraform use for templating, Looker extensions, CI/CD JIRA and Confluence for work item management and documentation Equal Opportunity Employer At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence and performance without regard to any characteristic related to diversity. We will only use the information you provide to process your application and to produce tracking statistics. Since we do not request personal data deemed sensitive, we ask you to abstain from sharing that information with us. For more information on how we use your information, see our Privacy Policy .

Who We Are Welcome to TELUS Digital — where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS , one of Canada’s largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture. With a global team across North America, South America, Central America, Europe, Africa, and APAC, we offer end-to-end expertise across various service offerings: Web, Mobile & Digital Marketing | Enterprise AI | Customer Care AI & Technology | Enterprise Technology Modernization From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are — all backed by the secure infrastructure and scale of our multi-billion-dollar parent company. Location & Flexibility Our Senior Full-Stack AI Engineers are integral parts of our team at TELUS Digital. To help retain our deep culture of collaboration, this role will maintain an in-office presence in a hybrid capacity in Sofia, Bulgaria The Opportunity Business-level English proficiency (written and verbal) is required As a Senior Full-Stack AI Engineer to help build and evolve the AI systems that power a leading gaming client's player support platform. This role sits at the center of two connected products: an AI assistant used directly by players, and an AI copilot used by the support agents who help them. You'll work across the full stack — from LLM orchestration and agentic workflow design on the backend to the React applications and admin tooling that let the team configure, monitor, and improve these systems in production. This is a hands-on engineering role for someone who has already shipped and operated production AI systems, not just prototyped them. You'll design conversation flows that handle ambiguous intent, tool use, retrieval, and escalation to a human; evaluate and tune models across multiple providers; and build the observability and resilience that keep these systems reliable at scale. Day-to-day, you'll work primarily in TypeScript across a Node.js backend and React frontend, using state machines to model complex conversational workflows and integrating with large language model providers such as OpenAI, Anthropic, and Gemini. Responsibilities AI Platform & Agent Systems Design and extend production-grade LLM applications and agentic workflows, including RAG, intent detection, clarification, fulfillment, escalation, and human-in-the-loop flows Build and maintain the underlying conversation engine, including flow validation, configuration tooling, and the admin experience used to manage it Integrate tool-use and agentic protocols to extend what the AI assistant and copilot can do Evaluate, benchmark, and tune models across multiple providers, owning model selection decisions that balance quality, latency, throughput, reliability, and cost Troubleshoot production AI issues such as hallucinations, retrieval failures, prompt regressions, model drift, and provider outages Build resilience mechanisms including retries, fallback routing, caching, streaming, and rate limiting Instrument and tune model quality using tracing, evaluation datasets, A/B testing, and prompt versioning Frontend & Admin Tooling Build player-facing and support-agent-facing experiences in React Develop and maintain the admin interface used to manage flows, intents, releases, translations, prompts, and evaluations Integrate real-time, event-driven product features Own frontend performance, accessibility, and internationalization Platform & Quality Write comprehensive automated tests across unit, integration, contract, and end-to-end layers Build observability for both traditional services and AI systems, including tracing, dashboards, and alerting Diagnose performance bottlenecks across application code, retrieval systems, model inference, and infrastructure Participate in an on-call rotation and respond to production incidents with clear communication Document architectural decisions and keep runbooks current Qualifications Proven experience building and operating production LLM-powered systems — chatbots, AI assistants, agent copilots, RAG systems, or LLM orchestration platforms Strong TypeScript/Node.js engineering skills, with fluency in strict-mode TypeScript Hands-on production AI experience: prompt engineering, RAG pipelines, agent design, tool calling, model evaluation, observability, and failure-mode analysis Full-stack depth — comfortable moving between backend APIs, React UIs, databases, infrastructure, and production operations Ability to evaluate tradeoffs between model quality, latency, reliability, throughput, and cost Ability to troubleshoot AI systems across prompts, retrieval pipelines, model configuration, infrastructure, and application code Experience modeling complex asynchronous workflows (state machine experience is a strong signal) Solid understanding of REST API design, asynchronous patterns, and caching strategies A strong testing culture, with unit, integration, and contract tests treated as first-class deliverables Experience working in a monorepo with multiple interconnected services Bonus Points Experience with agentic tool-use protocols (e.g., MCP), semantic search/retrieval architectures, or AI gateways Familiarity with LLM observability and evaluation platforms, and experience evaluating multiple foundation models or providers at scale Experience building AI copilots, assistants, or other conversational products, especially under low-latency or streaming constraints Hands-on experience with NestJS specifically Background in customer support or player support platforms, gaming, or high-volume consumer products Equal Opportunity Employer At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence and performance without regard to any characteristic related to diversity. We will only use the information you provide to process your application and to produce tracking statistics. Since we do not request personal data deemed sensitive, we ask you to abstain from sharing that information with us. For more information on how we use your information, see our Privacy Policy .