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Senior devops engineer
3 weeks ago
What You'll Do (Responsibilities):
Design, implement, and manage scalable, secure, and high-performance cloud-native infrastructure across Azure.
Build and maintain Infrastructure as Code (Ia C) using Terraform or Cloud Formation.
Develop event-driven and serverless architectures using AWS Lambda, SQS, and SAM.
Architect and manage containerized applications using Docker, Kubernetes, ECR, ECS , or AKS.
Establish and optimize CI/CD pipelines using Git Hub Actions, Jenkins, AWS Code Build & Code Pipeline.
Set up and manage monitoring, logging, and alerting using Prometheus + Grafana, Datadog , and centralized logging systems.
Collaborate with ML Engineers and Data Engineers to support MLOps pipelines ( Airflow, ML Pipelines ) and Bedrock with Tensorflow or Py Torch.
Implement and optimize ETL/data streaming pipelines using Kafka , Event Bridge, and Event Hubs.
Automate operations and system tasks using Python and Bash , along with Cloud CLIs and SDKs.
Secure infrastructure using IAM/RBAC and follow best practices in secrets management and access control.
Manage DNS and networking configurations using Cloudflare , VPC , and Private Link.
Lead architecture implementation for scalable and secure systems, aligning with business and AI solution needs.
Conduct cost optimization through budgeting, alerts, tagging, right-sizing resources, and leveraging spot instances.
Contribute to backend development in Python (Web Frameworks), REST/Socket and g RPC design, and testing (unit/integration).
Participate in incident response, performance tuning, and continuous system improvement.
Good to Have:
Hands-on experience with ML lifecycle tools like MLflow and Kubeflow
Previous involvement in production-grade AI/ML projects or data-intensive systems
Startup or high-growth tech company experience
Qualifications:
Bachelor's degree in Computer Science, Information Technology, or a related field.
5+ years of hands-on experience in a Dev Ops, SRE, or Cloud Infrastructure role.
Proven expertise in multi-cloud environments (AWS, Azure, GCP) and modern Dev Ops tooling.
Strong communication and collaboration skills to work across engineering, data science, and product teams.
Benefits:
Competitive Salary
Support for continual learning (free books and online courses)
Leveling Up Opportunities
Diverse team environment