Xavient Software Solutions India Pvt Ltd
TELUS Digital - Robotics Applied AI Engineer - Python
- AI / ML
Bangalore, भारत
Vacancy description
Xavient Software Solutions India Pvt Ltd
Bangalore, भारत
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 deployments.- Automate infrastructure provisioning and operational workflows using IaC tools.- Lead incident management, 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 https://jobeax.com/link/NcdoCA4Z1maw0VxK : - 8+ years of experience in DevOps, SRE, or Cloud Engineering roles.- Strong scripting skills in Bash and Python for automation; experience building internal tooling or services in Python with solid software engineering fundamentals is a strong plus.- 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 (Circle CI, 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 https://jobeax.com/link/tW6n0eevBPNf01w9 to Have : - Experience with large-scale distributed systems and microservices architecture.- Exposure to service mesh technologies and advanced Kubernetes ecosystems.- Hands-on experience with cost optimization and capacity planning in cloud environments.- Familiarity with chaos engineering and reliability testing practices.- 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 (ref:hirist.tech)
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