DevOps/Cloud Architect

Key Responsibilities

• Own and drive the Kubernetes cluster operations roadmap, including cluster upgrades, node group management, scaling, draining, replacement, and overall cluster health.
• Troubleshoot complex production and non-production infrastructure issues using kubectl, logs, metrics, system diagnostics, and cloud-native tools.
• Diagnose and resolve issues related to pods, nodes, scheduling, networking, resource constraints, deployments, configuration, and cluster health.
• Understand infrastructure requirements and design appropriate technical solutions considering reliability, scalability, security, performance, and cost.
• Architect, develop, and maintain internal automation and infrastructure tooling, including scripts, CLIs, controllers, and operators.
• Drive automation of operational workflows such as cluster upgrades, remediation, scaling, maintenance, and recovery.
• Identify manual or repetitive operational processes and convert them into reliable, reusable automation with appropriate safeguards.
• Develop and improve observability strategies across logging, metrics, monitoring, alerting, and SLOs.
• Define effective incident management, issue tracking, triage, and root-cause analysis practices.
• Lead on-call rotations and incident response, including post-incident reviews and continuous improvement initiatives.
• Partner with service owners, platform teams, and leadership on capacity planning, infrastructure requirements, upgrades, and maintenance schedules.
• Create and maintain technical designs, operational runbooks, troubleshooting guides, and recovery procedures.
• Establish engineering standards through technical documentation, design/code reviews, and operational best practices.
• Mentor and guide junior and mid-level DevOps/SRE engineers and provide technical leadership on infrastructure initiatives.
• Evaluate architecture and infrastructure trade-offs across availability, scalability, security, performance, operational complexity, and cost.

Required Qualifications

• 10–15 years of experience in DevOps, SRE, Infrastructure Engineering, or a related field.
• Deep, hands-on experience with Kubernetes administration and operations in large-scale environments.
• Strong experience with:
• Kubernetes cluster upgrades
• Node group management
• Scaling, draining, and node replacement
• Pod scheduling and resource management
• Kubernetes networking and troubleshooting
• Production incident troubleshooting
• Strong programming/scripting skills in Python, Go, Bash, or similar languages.
• Proven experience building and maintaining automation and internal infrastructure tooling used across teams.
• Strong ability to analyze logs, metrics, system state, and distributed-system behavior to identify root cause.
• Extensive experience with at least one major cloud platform: AWS, GCP, or Azure.
• Strong understanding of cloud infrastructure architecture, including IAM, networking, security, availability, scalability, and cost optimization.
• Strong understanding of distributed systems, infrastructure reliability, scalability, and performance.
• Ability to translate business/technical requirements into infrastructure architecture and implementation plans.
• Experience making infrastructure architecture and cost/performance trade-off decisions.
• Ability to independently define solutions and operational approaches rather than relying solely on predefined runbooks.
• Strong written and verbal communication skills, including technical documentation, incident reports, design documents, and status updates.
• Demonstrated experience mentoring engineers and leading technical initiatives.

Preferred Qualifications

• Strong experience with Infrastructure as Code, particularly:
• Terraform
• Helm
• Ansible
• Hands-on experience with CI/CD platforms such as Jenkins, GitHub Actions, Spinnaker, or similar.
• Experience implementing GitOps using ArgoCD, Flux, or similar tools.
• Strong experience with observability platforms such as:
• Prometheus
• Grafana
• Datadog
• CloudWatch
• Experience operating multiple Kubernetes clusters across regions/environments.
• Experience with capacity planning, disaster recovery, and high availability.
• Experience contributing to or leading infrastructure/platform architecture decisions.
• Experience designing AWS solutions with appropriate security, access control, scalability, availability, and cost considerations.
• Experience creating reusable infrastructure patterns, modules, tools, or operational frameworks used by multiple teams.
• Experience with OpenShift or other enterprise Kubernetes platforms is a plus .