We are seeking a DevOps 3 - Lead DevOps Engineer / Infrastructure Architect to own and scale our cloud-native infrastructure, with a deep focus on Kubernetes, platform reliability, and automation.

This role requires strong architectural thinking, hands-on technical depth, and the ability to lead DevOps initiatives across multiple engineering teams.

You will drive infrastructure design, build platform-level capabilities, and ensure our environments are secure, observable, cost-efficient, and highly scalable.

This role sits at the intersection of DevOps, SRE, cloud architecture, and platform engineering, and requires expert-level hands-on execution.

What Youll Do :

Kubernetes Architecture & Platform Ownership :

- Architect, design, and operate large-scale Kubernetes clusters (EKS/GKE/AKS) for microservices and data workloads.

- Define cluster topology, autoscaling strategies (HPA/VPA/Karpenter), node groups, and networking models.

- Build and maintain service mesh frameworks (Istio/Linkerd), ingress controllers, and API gateways.

- Develop internal platform tooling for deployments, traffic management, rollback, and cluster governance.

- Own cluster security: pod security standards, network policies, admission controllers, RBAC.

Infrastructure Architecture & Automation :

- Design end-to-end cloud infrastructure architectures ensuring security, reliability, and cost optimization.

- Implement and enforce Infrastructure-as-Code using Terraform/Pulumi at org-wide scale.

- Define patterns for multi-account architecture, VPC design, load balancing, secret management, and zero-trust networking.

- Lead cloud cost optimization initiatives and implement FinOps practices.

CI/CD Platform & Deployment Engineering :

- Architect highly reliable CI/CD workflows with GitHub Actions / GitLab CI / Jenkins / ArgoCD.

- Build automated release pipelines for microservices, operators, and stateful workloads.

- Set standards for blue/green, canary, shadow deploy, and progressive rollouts.

- Build reusable deployment templates and developer self-service mechanisms.

Reliability, Observability & Operations :

- Own organization-wide monitoring, logging, and alerting platforms (Prometheus, Loki, Grafana, New Relic).

- Define SLOs/SLIs, reliability targets, and implement automated remediation workflows.

- Lead incident response for high-severity issues and drive long-term fixes through RCAs.

- Build platform-wide health dashboards, cluster insights, cost dashboards, and performance metrics.

Security & Compliance :

- Implement Kubernetes and cloud-native security best practices: IAM hardening, OPA/Gatekeeper policies, secret lifecycle, container scanning, and runtime security.

- Automate compliance validations and enforce organization-wide DevSecOps policies.

- Partner with security teams for penetration tests, threat modeling, and vulnerability management.

Technical Leadership & Collaboration :

- Mentor engineers and guide teams on DevOps, Kubernetes, and cloud architecture.

- Lead technical design reviews, platform roadmap discussions, and cross-team initiatives.

- Influence engineering decisions by providing architectural recommendations and operational insights.

What Youll Bring :

Core Technical Strengths :

- 612 years of DevOps/SRE/Platform experience with deep Kubernetes expertise.

- Hands-on experience designing, operating, and scaling production-grade Kubernetes clusters.

- Expert-level understanding of :

Kubernetes internals (scheduler, controller manager, CRDs, operators).
Container runtime fundamentals.
Cluster networking (CNI, service mesh, ingress, DNS).
Security (PSPs, policies, certificate mgmt).
Strong cloud architecture experience (AWS/GCP/Azure), especially:
VPC design, interconnects, NAT, security groups.

- Load balancing, autoscaling, resilience patterns.

- Monitoring stack setup and automation.

Automation & Tooling :

- Strong proficiency in IaC (Terraform, Pulumi) and GitOps (ArgoCD/FluxCD).

- Programming/scripting proficiency in Python, Go, or Bash.

- Experience building internal dev platforms, tools, and automation frameworks.

Soft Skills :

- Ability to drive architecture discussions and make high-impact technical decisions.

- Leadership mindset with strong ownership and ability to influence without authority.

- Strong communication and stakeholder management across engineering, security, and product teams.

Preferred Qualifications :

- Experience with multi-cluster, multi-region, or hybrid-cloud Kubernetes setups.

- Prior work with distributed systems, high-scale environments, or data platforms.

- Exposure to eBPF, Cilium, or advanced CNI plugins.

- Certifications such as CKA/CKAD/CKS or AWS Solutions Architect.