5,965 distributed systems engineer jobs at 1,874 companies in United States
🚀PromotedHiringCafe
Founding Backend / Infra Engineer
Cupertino, CA, US
$160k-$300k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Own the crawlers, pipelines, and infrastructure powering a real-time job search engine. Strong Node.js and Python fundamentals; bonus points for security and reverse-engineering chops.
LiveKit: Infrastructure for real-time voice and video AI applications.
Experience designing and delivering distributed systems in production; ownership end-to-end; strong programming fundamentals; familiarity with consensus, coordination, and distributed failure modes; clear communication.
Thenvoi: Agentic mesh platform for AI agent communication and collaboration.
7+ YOE7+ years building distributed systems (Go, Rust, or C++); deep networking and multiprocessing fundamentals; experience with real-time messaging; open to learning Elixir and Phoenix LiveView.
San Francisco or New York City or Austin or Seattle
$175k-$300k/yrOnsiteFull Time
Fluidstack: Provides high-performance cloud GPU infrastructure for AI development.
Experienced engineer building observability, control planes, and API surfaces for large fleets; production service ownership, pager/incident experience, fluent with AI tooling and distributed systems.
LLM APIs, MCP servers, Claude Code, Cursor, Prometheus, Thanos, VictoriaMetrics, Temporal, Cadence, BMC/Redfish, Go, Python, Postgres, Kubernetes, ZTP, DHCP, DNS
Distributed Systems Engineer 6 - Decisioning & Optimization
New York City or Seattle or Los Angeles or Los Gatos
$499k-$900k/yrOnsiteFull Time
NetflixNASDAQ: NFLX: Provider of global streaming entertainment and video content.
10+ YOE10+ years building large-scale distributed systems (3+ years in ads); expertise in ML model serving with sub-20ms P99, ad serving/bidding/pacing systems, API and platform design, technical leadership, and cross-functional collaboration.
SalesforceNYSE: CRM: Sells cloud-based customer relationship management and business software solutions.
Design and deliver scalable, reliable, secure backend distributed systems within the Security ecosystem; hands-on engineering, cross-functional collaboration, and end-to-end ownership with an AI-first mindset.
Salesforce Core, Data Cloud, Tableau Next, ATF, Agentforce
Dedalus Labs: Infrastructure for building and deploying AI agent applications.
Strong systems programming (Rust preferred); graduate-level knowledge of distributed/OS concepts; Kubernetes and cloud infra experience; hands-on with virtualization and storage; production-scale systems experience.
Distributed Systems Engineer, Data & Inference Platform
San Francisco or Fremont or Palo Alto or Berkeley or Sunnyvale or Mountain View or San Jose or Oakland or Redwood City
HybridFull Time
Adaption: Develops efficient AI systems that adapt in real-time.
5+ YOE5+ years building and operating distributed systems; experience with Ray/Spark/Flink/Beam/Dask; Python and at least one systems language; GPU/accelerator stack; Kubernetes; incident ownership.
Distributed Systems Engineer - Data Platform - Logs and Audit Logs
Austin or San Francisco
OnsiteFull Time
CloudflareNYSE: NET: Provides security and performance services for internet properties.
3+ YOE3+ years software development experience in distributed systems/data pipelines; strong programming skills (Go preferred); experience with observability (Prometheus, Grafana), SQL, data streaming (Kafka, Flink) and infra tooling; on-call participation.
Parasail: Provides scalable cloud infrastructure for AI model inference.
5+ YOE5+ years backend/infrastructure experience with Kubernetes and distributed systems; strong skills in Java, Spring Boot, or Golang; experience with cloud-native tech, IaC, and security for AI workloads.
Java, Spring Boot, Golang, Kubernetes, Infrastructure as Code (IaC)
Sr Software Development Engineer - Distributed Systems
Pleasanton, California, United States
$190k-$285k/yrHybridFull Time
WorkdayNASDAQ: WDAY: Provides cloud-based software for financial and human capital management.
8+ YOE8+ years in software engineering or distributed systems, 5+ years production Java, experience with Apache Iceberg, Spark/Trino, multi-cloud (AWS/GCP), strong database and distributed-systems knowledge.
Java, Scala, Python, Apache Iceberg, Apache Spark, Trino, Parquet, Amazon Web Services (AWS), Google Cloud Platform (GCP), Grafana, Prometheus, Kibana
Principal Software Engineer, Distributed Systems Engineer - DGX Cloud
Durham or United States
$248k-$397k/yrHybridFull Time
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
15+ YOE15+ years software engineering experience with Kubernetes, GPU cluster scheduling, systems programming (Go or Python), BS in relevant field or equivalent, strong communication and cross-team collaboration skills.
Pennsylvania State University: Public research university providing academic education and research.
Postdoctoral position focusing on distributed energy resources; PhD in engineering; experience with CHP/DER, microgrids, and energy systems; strong communication skills.
Anyscale: Cloud platform for scaling distributed machine learning applications.
Familiarity with running ML inference at large scale with high throughput and low latency; experience with PyTorch; solid understanding of distributed systems.
Distinguished Technologist, Distributed Systems & Agentic Query Optimization
San Jose or Houston or Durham or Andover
$170k-$413k/yrHybridFull Time
Hewlett Packard EnterpriseNYSE: HPE: Provides global edge-to-cloud technology solutions and IT infrastructure services.
15+ YOE15+ years designing and operating large distributed systems and cloud platform services; expertise in distributed query engines, federated data, cloud-native architecture; strong communication and technical leadership skills.
Field AI: Develops autonomous software brains for robots in unstructured environments.
5+ YOE5+ years in distributed systems/ML platforms; strong Python; experience with Ray/Spark/Dask/Flink; design scalable data pipelines; cross-functional collaboration.