Join Reflection AI as a staff engineer to build and operate a foundational platform that accelerates engineering teams.
Posted by employer 8 months ago
First seen on Joblaze 2 months ago
Last verified on the company career page 1 day ago
Skills & Technologies
Requirements
Not disclosed in this posting: compensation, years of experience, work arrangement.
Benefits
Joblaze summary
In this role, the Member of Technical Staff will focus on building and maintaining the foundational platform that supports all engineering teams at Reflection AI, ensuring reliable and scalable infrastructure. Key skills include expertise in cloud architecture, networking, and security, along with proficiency in tools like Terraform and Kubernetes. This position is ideal for someone with a strong background in infrastructure or platform engineering who thrives in fast-paced environments and enjoys tackling complex challenges. The team is dedicated to creating a secure, self-serve foundation for advanced AI systems.
Joblaze insights
Quick facts
From the original posting
Build and operate a company-wide foundations platform that accelerates every team by providing reliable, scalable developer infrastructure, SRE capabilities, and high-throughput data ingestion tooling enabling Reflection to move faster as we scale.
Build and operate the foundational platform layer that every engineering team depends on. Define opinionated golden paths for cloud infrastructure, networking, and access patterns so the safe and scalable path is also the easiest to follow. Work across cloud infrastructure, network primitives, security guardrails, and developer tooling to ensure engineers can ship quickly without sacrificing reliability, security, or cost predictability.
Define and maintain golden paths for cloud projects, networking, and access patterns.
Ship secure defaults and guardrails that make the safe path the easy path.
Build and operate core networking primitives including routing, DNS, load balancing, and connectivity.
Establish baseline observability and operational hygiene across services and infrastructure.
Own developer infrastructure such as build systems, CI/CD, caching, and test infrastructure to keep engineers shipping fast.
Drive cloud cost visibility and reduction through tooling, guardrails, and optimization without slowing teams down.
Cloud & Multi-Cloud Architecture: GCP, AWS, multi-cloud design, VPC architecture, private DNS, load balancers, advanced routing (BGP), large-scale Kubernetes clusters, control plane scaling.
Identity & Security Foundations: IAM, OIDC, RBAC, KMS, secrets management, policy-as-code (OPA, Gatekeeper), secure defaults, cloud guardrails.
Infrastructure & Automation: Terraform, Pulumi, Kubernetes foundations, CI/CD systems, Bazel, build caching, hermetic builds.
Observability & Cost Governance: Prometheus, Grafana, OpenTelemetry, logging and metrics systems, FinOps, cloud cost optimization.
Strong infrastructure or platform engineering background with experience shipping production-grade systems.
Deep expertise in at least one of: cloud platforms, network engineering, security architecture, or developer tooling — with working knowledge across the others.
Comfortable navigating complex multi-team environments, debugging hard infrastructure problems, and building for reliability and scale.
Thrive in a high-agency, fast-paced environment; bias toward action and impact.
Excited about zero to one challenges — building new systems rather than maintaining legacy ones.
Collaborative, clear communicator, comfortable working across research and infrastructure boundaries.
Motivated by creating the secure, self-serve foundation that the world's most capable open-weight AI systems are built on.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Standard company text repeated across Reflection AI's postings is omitted here.