Expanded Platform Engineering Responsibilities
AI-Native Platform Foundations: Design and scale the underlying platform infrastructure required to support high-performance AI workloads. Build reusable platform capabilities that simplify the deployment, orchestration, and continuous monitoring of large language models (LLMs), vector databases, and agentic workflows.
Platform-as-a-Product: Shape the platform roadmap by seeing internal developers as your customers. Use metrics such as Internal Net Promoter Score (iNPS) and Developer Velocity to decide which features to build first.
Self-Service Infrastructure: Build and maintain an orchestration layer that allows developers to spin up databases, caches, and clusters via a service catalog.
Abstraction & API Design: Create high-level abstractions, so developers don’t need to be Kubernetes experts. You will design the APIs or CLI tools that hide underlying cloud complexity.
The Golden Path: Create “paved roads” for common architectural patterns (e.g., Microservices, Event-driven workers) that include automated logging, monitoring, and security by default.
Observability & Reliability: Build the platform’s “control plane” to provide centralized telemetry, enabling teams to own their application health.
FinOps & Resource Management: Set up automated cost tracking and resource limits in the platform to help control cloud spending.
Security-as-Code: Turn company security policies into automated checks that block non-compliant deployments and collect audit evidence automatically.
Secure Supply Chain & Zero Trust: Build a trusted software supply chain with artifact scanning, image signing, and policy-based verification. Implement identity-based access and least-privilege permissions, eliminating static secrets and enabling Zero Trust principles across environments.
Technical Profile: The “Platform” Stack
Control Planes: Deep experience with Kubernetes Operators and Custom Resource Definitions (CRDs) to extend K8s into a custom platform.
Infrastructure Orchestration: Experience using Infrastructure as Code (IaC) tools like Terraform, Ansible, or OpenTofu to provision GKE & EKS environments at scale.
Developer Interface: Practical experience building developer-facing platforms and portals. Experience with the Backstage framework is preferred, with a focus on usability, discoverability, and driving platform adoption.
Internal Tooling: Skilled at building custom command-line tools in Go or Rust to make complex developer workflows easier.
Benefits
Performance-based annual bonus
Performance rewards and recognition
Agile Benefits - special allowances for Health, Wellness & Academic purposes
Entertainment allowance
Team engagement allowance
Comprehensive Health & Life Insurance Cover - extendable to parents and in-laws
Hybrid work arrangement
Sysco LABS is an Equal Opportunity Employer
