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.

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