Forward Deployed Engineer – Lead Platform Engineer

Overview

As a Forward Deployed Lead / Principal Engineer, you will own the architectural direction and delivery for major digital transformation programs, focusing on platforms that power generative AI and agentic systems. You will align target-state cloud architectures with enterprise goals, guide technical direction, and collaborate with AI engineers. Expect hands-on work in cloud platforms, IaC, security, and meaningful stakeholder engagement while mentoring teams. This role offers impact across multi-cloud platforms and cutting-edge AI enablement, within a collaborative, growth-oriented culture.

Pay / Benefits

• Be Well programs supporting financial, mental, physical, and social health
• dynamic, hybrid-friendly culture
• career development and learning opportunities
• certifications with Microsoft, Google, and Amazon
• coaching and hands-on experiences
• culture of empathy and shared success

Responsibilities

• Design and build target-state cloud platforms across Azure, GCP, and AWS
• Establish enterprise Kubernetes platforms and GitOps delivery with ArgoCD
• Develop self-service developer frameworks and landing zones using Terraform and Helm
• Architect platforms hosting generative AI systems (LLM hosting, LLM gateways, agentic workflows)
• Guide legacy modernization, microservices migrations, and API integrations
• Implement end-to-end security in CI/CD pipelines, Kubernetes security, and access controls
• Oversee connectivity and network security, including TLS, DNS, and secure endpoints
• Define architectural standards and guardrails (policy-as-code, OPA, secrets management)
• Instrument platforms for observability (Grafana, Prometheus, OpenTelemetry)
• Provide architectural oversight across multi-disciplinary workstreams and unblock teams
• Codify reusable patterns, capture field learnings, and mentor engineers hands-on
• Translate enterprise requirements into technical roadmaps for senior stakeholders

Key requirements

• 8–10+ years in enterprise or platform architecture with client-facing transformations
• Deep hands-on expertise across Azure, GCP, and AWS (landing zones, networking, IAM, cost governance)
• Strong Kubernetes, GitOps (ArgoCD), and IaC (Terraform, Helm) skills
• Hands-on security across CI/CD, Kubernetes namespaces, managed identities, and hyperscaler access
• SSL/TLS certificate management, DNS zone administration, secure network access
• CI/CD pipelines, Git workflows, and microservices/API architectures
• Observability stacks (Grafana, Prometheus, OpenTelemetry)
• Experience with generative AI platforms: LLM hosting, LLM gateways (LiteLLM, Portkey, Kong AI Gateway), and MLOps/LLMOps
• Strong stakeholder communication translating architecture to business outcomes

• stakeholder communication
• mentorship
• cross-functional collaboration
• Azure, GCP, AWS (landing zones, networking, IAM)
• Kubernetes
• GitOps (ArgoCD)

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