Lead Platform Engineer

ReflexAI

7d•Remote

About The Position

We are looking for a Lead Platform Engineer to establish and grow ReflexAI’s Platform Engineering function. This is a high-impact, multidisciplinary role for someone who thrives in ambiguity, enjoys wearing multiple hats, and wants to build a function from the ground up. You will architect and own our multicloud infrastructure (GCP + AWS), expand our CI/CD and release processes, standardize observability and monitoring, and elevate our security posture across the engineering organization. As the first member of this new team, you will shape the technical vision, partner closely with engineering leadership, and eventually help hire and mentor additional platform engineers. This is a rare opportunity to design and lead a platform function at a fast-scaling AI company—while still getting your hands dirty building tools, infrastructure, and processes used daily by every engineer.

Requirements

8–10+ years of experience in DevOps, SRE, infrastructure, or platform engineering roles.
Deep hands-on expertise with cloud platforms (GCP and/or AWS) and infrastructure-as-code (Terraform preferred).
Strong experience building and maintaining CI/CD pipelines for modern application stacks.
Proficiency in modern observability ecosystems (Datadog experience is a major plus).
Solid understanding of cloud security, IAM, container security, and network architecture.
Ability to lead technical initiatives across teams and influence engineering best practices.
Comfortable being the first hire on a new team—capable of switching between architect, implementer, mentor, and operator roles.

Nice To Haves

Experience working in a fast-growing startup environment.
Backend-related coding experience, primarily with Typescript
Background supporting machine learning, model serving, or data-intensive workloads.
Exposure to compliance frameworks (SOC 2, HIPAA, GDPR, ISO 27001, HITRUST).
Prior experience building internal developer platforms or paved-path tooling.

Responsibilities

Own and Evolve Core Infrastructure
Lead design, automation, and maintenance of ReflexAI’s multicloud infrastructure across Google Cloud and AWS.
Drive infrastructure-as-code adoption, reliability, and cost efficiency.
Create scalable, secure foundations for data pipelines, application services, and model-serving workloads.
Build a High-Quality Developer Experience
Establish ReflexAI’s CI/CD strategy and own the tooling that engineers use to build, test, and deploy code.
Standardize pipelines, artifacts, and deployment patterns to accelerate developer velocity.
Introduce guardrails, templates, and internal tooling that reduce operational overhead.
Standardize Observability and Monitoring
Define and roll out Datadog-based logging, metrics, tracing, and alerting across all services.
Partner with teams to design SLOs, operational dashboards, and production readiness frameworks.
Improve on-call ergonomics and reduce MTTR through better instrumentation.
Strengthen Infrastructure Security
Implement best practices for secrets management, IAM, network security, vulnerability scanning, and container security.
Build automated checks and secure-by-default workflows into CI/CD and cloud environments.
Collaborate with Compliance and Security teams to ensure ReflexAI meets industry and customer expectations.
Establish and Lead the Platform Engineering Function
Set the roadmap, standards, and long-term vision for ReflexAI’s platform.
Influence engineering-wide architecture and operational practices.
Mentor future platform engineers as the team expands (planned headcount: 3 in 2026).
Act as a cross-functional partner to Engineering, Product, and Security leadership.