Senior Cloud Engineer (Kubernetes & Observability)

Job Description

Senior Cloud Engineer to play a key role in building and operating scalable observability and infrastructure platforms supporting large-scale production microservices for AT&T's Cloud Collaboration Technology Group. This role requires strong hands-on expertise in Kubernetes, cloud infrastructure, and observability systems, along with the ability to operate independently and own components end-to-end in production environments. Candidates should demonstrate extensive use of generative AI tools for code generation and production system troubleshooting. Hybrid in San Francisco, CA. Contract engagement. US Citizens only.

Requirements

• Bachelor's degree in Computer Science or related field
• 8+ years of experience in DevOps and/or SRE platform engineering
• Production experience operating Kubernetes at large scale (hundreds of deployments, thousands of pods)
• Hands-on experience with Helm chart management, pod scheduling, resource tuning, and multi-cluster operations
• Proficiency with Terraform, Ansible, or equivalent IaC tooling on AWS
• Working proficiency in Python, Golang, and/or Bash for automation and operational tooling
• Hands-on experience with at least two of: OpenSearch/Elasticsearch, Prometheus/Mimir, Grafana, Loki, Splunk, Logstash
• 24/7 production environment experience including alert triage, incident response, and SLA management
• Experience with CI/CD pipeline integrations (Drone, GitHub Actions, Argo CD)
• Experience with Apache Kafka or AWS MSK preferred
• Experience with OpenTelemetry and distributed tracing preferred
• Experience with security frameworks (FedRAMP, STIG, IL5, ISO 27001, SOC 2) preferred
• Experience using LLMs and AI coding assistants (Copilot, Claude, MCP servers) preferred
• US Citizen
• Available to work hybrid in San Francisco, CA (3+ days onsite)

Responsibilities

• Design, develop, and operate observability platforms (logging, metrics, tracing) for production microservices
• Manage and optimize Kubernetes clusters across multi-region environments
• Own CI/CD pipelines using Argo CD and Helm
• Implement Infrastructure as Code (IaC) using Terraform on AWS
• Operate monitoring ecosystems including OpenSearch/ELK, Prometheus, Grafana, Splunk, and Kafka
• Build automation to detect and remediate production issues
• Ensure security compliance through vulnerability patching and container hardening
• Collaborate cross-functionally to improve system reliability
• Participate in on-call rotations and incident response
• Contribute to distributed system design and operations

Technologies & Skills

Benefits

• Hybrid work in San Francisco
• Competitive contract rate
• Long-term engagement
• Work on large-scale distributed systems
• Exposure to AI-augmented engineering workflows