01 Sep
|
TELUS Digital AI Data Solutions
|
Bengaluru
01 Sep
TELUS Digital AI Data Solutions
Bengaluru
SDE 3 - DevOps Engineer
Bengaluru
5 Days Working - Hybrid
Telus Digital
Responsibilities:
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 deployment
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
Optimize cloud infrastructure for cost, performance, and efficiency
Own and improve on-call processes; mentor engineers in handling production incidents
Drive best practices for security, networking, and infrastructure reliability
Participate in architecture and design reviews to ensure system resilience and scalability
- Document system architecture, runbooks, and operational processes
Requirements:
8+ years of experience in a DevOps, SRE, or cloud engineering role
Proven experience building software using Python, Go, Rust, or JavaScript, with strong scripting capabilities.
Leading Experience must.
Hands-on experience with cloud platforms such as AWS, GCP, or Azure.
Expertise in Infrastructure as Code tools like Terraform, Ansible, or CloudFormation.
Robust 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.
Nice to Have
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
📌 SDE 3 Devops Engineer (Bengaluru)
🏢 TELUS Digital AI Data Solutions
📍 Bengaluru