Job description

We are looking for a Distributed Systems Engineer to own the infrastructure powering our core In this role, you will design the execution engine that coordinates these complex evaluation loops. You will build systems that remain deterministic, fault-tolerant, and cost-efficient, even when coordinating massive parallel requests across heterogeneous device types(iPhones, Mac, iPads etc). MS in computer science or equivalent 7+ years of experience as distributed systems engineer, platform engineer or equivalent. Systems & Backend Languages: Strong proficiency in languages optimized for concurrency and enterprise scale, such as Python (asyncio) or Java. API Design & Ecosystems: Deep expertise in designing robust, versioned production APIs using gRPC/Protobuf, GraphQL, or REST (FastAPI). Cloud Native Architecture: Advanced experience with Kubernetes (orchestration, custom operators, service meshes like Istio or Linkerd) and cloud providers (AWS, GCP, or Azure). Relational & Analytical Databases: Strong experience modeling complex relational data and trace hierarchies using PostgreSQL, combined with high-throughput analytical query layers. Orchestration & Messaging: Experience designing asynchronous, event-driven architectures using Kafka, AWS SQS/SNS, RabbitMQ, or Redis Streams. Experience building Agentic RAG platforms or developer-facing infrastructure tooling. Infrastructure-as-Code (IaC): proficiency with Terraform to manage infrastructure declaratively. CI/CD & DevEx: Experience building automated, containerized deployment pipelines (GitHub or ArgoCD) with an emphasis on keeping developer feedback loops fast and reliable.

Requirements

Must-haves

We are looking for a Distributed Systems Engineer to own the infrastructure powering our core
MS in computer science or equivalent
7+ years of experience as distributed systems engineer, platform engineer or equivalent.
Systems & Backend Languages: Strong proficiency in languages optimized for concurrency and enterprise scale, such as Python (asyncio) or Java.
API Design & Ecosystems: Deep expertise in designing robust, versioned production APIs using gRPC/Protobuf, GraphQL, or REST (FastAPI).
Cloud Native Architecture: Advanced experience with Kubernetes (orchestration, custom operators, service meshes like Istio or Linkerd) and cloud providers (AWS, GCP, or Azure).
Relational & Analytical Databases: Strong experience modeling complex relational data and trace hierarchies using PostgreSQL, combined with high-throughput analytical query layers.
Orchestration & Messaging: Experience designing asynchronous, event-driven architectures using Kafka, AWS SQS/SNS, RabbitMQ, or Redis Streams.
Experience building Agentic RAG platforms or developer-facing infrastructure tooling.
Infrastructure-as-Code (IaC): proficiency with Terraform to manage infrastructure declaratively.
CI/CD & DevEx: Experience building automated, containerized deployment pipelines (GitHub or ArgoCD) with an emphasis on keeping developer feedback loops fast and reliable.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonjavaapigraphqlrestkubernetesawsgcpazureci/cd

Platform: apple
Effort: medium