Base Salary
$188k - $246k/yr
Responsibilities
- Design and ship production backend services in Go and/or Rust.
- Build high-throughput telemetry ingestion pipelines using gNMI, NETCONF, and SNMP.
- Develop RESTful and gRPC APIs for internal consumers and external integrations.
- Implement and optimize time-series storage, retention policies, query performance, and data fidelity.
- Build Kafka or Kinesis event-streaming pipelines with at-least-once or exactly-once processing semantics.
- Design data partitioning and archival strategies meeting ingest, latency, and durability targets.
- Own service reliability, participate in on-call rotation, lead incident response, and reduce repeat incidents.
- Instrument services with structured logging, distributed tracing, and metrics using OpenTelemetry and Prometheus.
- Deploy containerized workloads on Kubernetes and maintain Terraform infrastructure across AWS, GCP, and Azure.
- Translate architecture decisions into tested production implementations and lead engineering standards through code reviews and mentorship.
Requirements
- 8+ years of backend software engineering experience shipping production services at scale.
- Hands-on production proficiency in Go and/or Rust.
- Experience with distributed data systems, event streaming, time-series databases, and high-throughput ingestion pipelines.
- Strong understanding of consistency models, failure modes, backpressure, idempotency, and message-processing semantics.
- Experience with Docker, Kubernetes, and at least one major cloud provider: AWS, GCP, or Azure.
- Familiarity with structured logging, Prometheus or Grafana, and OpenTelemetry or equivalent observability tools.
- Ability to write SQL and work with relational and time-series data models, schema design, and query optimization.
- Experience with testing, code review, CI/CD, on-call, and operational ownership.
- Demonstrated ability to drive technical decisions, influence engineering direction across teams, and provide technical leadership.
- Preferred: experience with gNMI, NETCONF, SNMP, network equipment vendors, or network management platforms.
- Preferred: experience with graph databases or graph data models, including Neo4j or Amazon Neptune.
- Preferred: familiarity with YANG data modeling or network device configuration schemas.
- Preferred: experience building multi-tenant SaaS backend services with data isolation and per-tenant resource management.
- Preferred: open-source infrastructure, observability, or networking contributions, or technical writing on distributed systems.
- Preferred: experience in regulated or security-conscious environments such as FedRAMP or NIST.
Benefits
- Comprehensive medical, dental, and vision plans.
- Matching 401(k).
- Unlimited PTO and paid holidays.
- Parental and adoption leave.
- Legal insurance.
- Home technology stipend.
- Onsite role in Santa Clara, California.
- Up to 15% domestic or international travel.
Tech Stack
About IonQ
IonQ, Inc. [NYSE: IONQ] is the world’s leading quantum platform and foundry - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ’s newest generation of quantum computers, the forthcoming IonQ Tempo, will be the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, AstraZeneca, and NVIDIA achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance. Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Toronto, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before. Learn more at IonQ.com.