GCP Containerization cloud Engineer- Hyd

Role & responsibilities

SUMMARY

• 10+ years' experience in cloud infrastructure, specializing in scalable, highly available, and automated solutions. Deep technical expertise as an Infrastructure-focused SRE, now positioned as a Cloud Architect.
• Deep Cloud & Containerization Expertise: Proven ability to architect and manage large-scale Kubernetes environments, custom operators, multi-cluster setups, and migrations (multi-cloud AWS, GCP). AWS Certified.
• Automation & Modern DevOps Champion: Advanced skills in designing and implementing full-lifecycle CI/CD pipelines (ArgoCD, Terraform, Crossplane, Helm, GitOps). Passionate about reducing toil through extensive automation.
• Infrastructure Reliability & Performance Leader: Expert in observability (Grafana Stack: Grafana, Loki, Mimir, Tempo), disaster recovery, SLO/SLA management, capacity planning, and leading architecture reviews to ensure operability at scale.
• Innovator in AI Tools & Collaboration: Proactively integrates modern AI (LangChain, Gemini, CrewAI) into operations and development workflows (agentic Slackbots, MCP servers), demonstrating technical leadership and mentoring teams.

CORE SKILLS

• Programming Languages: Advanced Python, GO, Rust, strong exposure to scalable distributed systems architectures.
• Cloud Infrastructure: AWS (Certified), GCP, Azure, Terraform, Crossplane, Helm, ArgoCD, Cloud SQL, AWS SAM.
• Kubernetes: Multi-cluster management, custom operators, internal routing/infrastructure, migrations, GPU-based large-scale clusters.
• DevOps & Reliability: CI/CD, GitOps, Disaster Recovery (DR), SLO/SLA management, On-call rotation, Incident management, IaC, Configuration Management, Ansible.
• Observability: Grafana Stack (Grafana, Loki, Tempo, Mimir).
• Other Technical Expertise: Distributed Systems, Distributed Architectures, Service Orchestration, 12-factor apps, Istio/Harness, Fastly VCL, Django, Angular, Docker, Python (Kopf, Paramiko, Pillow, Concurrent.futures, Boto3), FastAPI, Makefiles, IVR systems (Amazon Connect, Lex), Data processing pipelines (S3, Lambda, Glue, Athena).
• AI Tools & Automation: AI-powered tools, agentic Slackbots, MCP servers, AIOps (LangChain, Gemini CLI, Claude, CrewAI).
• Collaboration & Leadership: Guided architecture reviews, mentored engineers, supported cross-functional teams, code quality/operability practices, agile methodologies.

Preferred candidate profile