You'll work at the intersection of platform engineering and client-facing presales, translating business goals into delivery-ready architectures and then executing them. This role demands both technical depth — EKS operations, DevSecOps controls, SRE fundamentals — and the communication skills to run discovery workshops and build compelling solution narratives.

You'll produce client-ready artifacts (reference architectures, roadmaps, runbooks, backlog decomposition) and own the platform foundations that accelerate releases while improving reliability and governance.

- Lead technical discovery workshops; capture non-functional requirements, risks, and dependencies

- Define target-state platform architecture, delivery sequencing, and acceptance criteria

- Build demos and solution narratives for platform modernization, DevSecOps enablement, and Kubernetes adoption

- Translate business goals into delivery-ready epics, user stories, and measurable success criteria

- Implement CI/CD and GitOps operating models — promotion, approvals, release governance, rollback patterns

- Build EKS foundations: cluster lifecycle, node pools, autoscaling, ingress, workload placement, and operations

- Enforce DevSecOps controls: secrets management, IAM least-privilege, policy-as-code, image scanning, SBOM workflows, and auditability

- Establish observability and reliability baselines: metrics, logs, tracing, alerting, incident playbooks, capacity planning, and DR patterns

- Linux troubleshooting and performance tuning for containerized workloads and cloud runtimes

Required Qualifications

- Strong experience with Kubernetes cluster administration and operations in production environments

- Advanced knowledge of Kubernetes workload deployment and management best practices

- Experience implementing Kubernetes security practices, including hardening, RBAC, and policy management

- Solid experience with AWS multi-account architecture design

- Advanced knowledge of IAM, VPC networking, security controls, and EKS operations

- Hands-on experience with Cloud-Native tools and practices, including Helm, Kustomize, and GitOps

- Knowledge of container security and software supply-chain security practices

- Familiarity with SRE (Site Reliability Engineering) principles, observability, monitoring, and incident management

- Experience supporting AI infrastructure operations

- Knowledge of GPU-capacity operations and inference platform readiness

- Experience with performance analysis, troubleshooting, and monitoring of highly available environments