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Intern Distributed Systems Engineer Jobs (NOW HIRING)

Senior Staff Distributed Systems Engineer

Santa Clara, CA · On-site

$122K - $167K/yr

We are looking for a deeply hands-on Senior Staff Distributed Systems Engineer to join the team building IonQ's Network and Security Platform. You will own the backend services - ingestion pipelines ...

OR · On-site

$499K - $820K/yr

Our Team The Ads Serving Platform engineering team sits within the Ad Serving & Decisioning org at Netflix Ads. We own the high-throughput, low-latency distributed systems that power real-time ad ...

Software Engineer, Distributed Systems

$177K - $209K/yr

Required : • 5+ years of Software Engineering experience, specifically in backend or infrastructure engineering. • Deep understanding of distributed systems concepts such as sharding, replication ...

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How much do intern distributed systems engineer jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for intern distributed systems engineer in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Intern Distributed Systems Engineer, and why are they important?

To thrive as an Intern Distributed Systems Engineer, you typically need a strong background in computer science fundamentals, programming (often in languages like Java, C++, or Go), and an understanding of distributed computing concepts. Familiarity with technical tools such as Docker, Kubernetes, cloud platforms (AWS, GCP, Azure), and version control systems like Git is commonly expected. Strong analytical thinking, effective communication, and a willingness to learn make candidates stand out in this role. These skills and qualities are crucial for solving complex distributed problems, collaborating with teams, and adapting to rapidly evolving technology environments.

What is the difference between Intern Distributed Systems Engineer vs Intern Software Engineer?

AspectIntern Distributed Systems EngineerIntern Software Engineer
Required CredentialsTypically pursuing a degree in Computer Science or related field, familiarity with distributed systems conceptsSimilar educational background, focus on general software development skills
Work EnvironmentFocus on designing, implementing, and testing distributed systems and networked applicationsDeveloping various software applications, often in different domains
Employer & Industry UsageUsed in tech companies working on cloud, big data, or scalable systemsCommon across many industries including tech, finance, and startups
Search & Comparison IntentPeople comparing internship roles in distributed systems and software development

Intern Distributed Systems Engineers focus on distributed architectures and networked systems, while Intern Software Engineers work on a broader range of software projects. Both roles require similar educational backgrounds but differ in specific technical focus and project types.

What types of projects and tasks can an Intern Distributed Systems Engineer expect to work on, and how does this support their learning and growth?

As an Intern Distributed Systems Engineer, you can expect to work on collaborative projects involving the design, implementation, and testing of scalable, fault-tolerant systems. Your tasks may include optimizing data pipelines, contributing to microservices architecture, or participating in performance benchmarking. Interns often work closely with senior engineers, gaining exposure to cutting-edge technologies such as cloud platforms, container orchestration, and distributed databases. This hands-on experience, combined with mentorship and code reviews, provides valuable insights into best practices and industry standards, supporting both your technical and professional growth.

What does an Intern Distributed Systems Engineer do?

An Intern Distributed Systems Engineer assists in designing, developing, and maintaining large-scale distributed systems that enable applications to run reliably across multiple computers. Their work often involves writing and testing code, debugging issues, and collaborating with experienced engineers to solve technical challenges related to scalability, efficiency, and data consistency. Interns may also help with system monitoring and performance analysis, learning best practices for building robust and fault-tolerant systems. This role is a valuable opportunity to gain hands-on experience with cutting-edge technologies and real-world distributed computing problems.
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Staff Distributed Systems Engineer

Staff Distributed Systems Engineer

IonQ

Santa Clara, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


Job description

About IonQ:
IonQ, Inc. [NYSE: IONQ] is the world's leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ's newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca 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, Canada, 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.
Location: This role is based onsite at our office in Santa Clara, CA.
Travel: Up to 15% domestic or international.Job ID: 1721
The Role:
We are looking for a deeply hands-on Staff Distributed Systems Engineer to join the team building IonQ's Network and Security Platform. You will own the backend services - ingestion pipelines, telemetry processing, device management - that give operators real-time visibility into their networks and the intelligence to make them quantum-safe. This is infrastructure that matters: the systems you build will underpin IonQ's mission to secure the world's networks against quantum threats.
In this role, you will own backend services end-to-end - from high-throughput ingestion pipelines collecting telemetry from large device fleets, to time-series storage, real-time processing engines, and the APIs that surface platform data to the rest of the organization. You are a deeply hands-on engineer who writes production-quality Go and/or Rust daily, takes pride in operational ownership, and brings strong distributed systems fundamentals to every problem you tackle.
You will work closely with the Principal Architect to translate platform architecture decisions into reliable, well-tested, production-grade implementations. The ideal candidate has direct experience building data-intensive backend systems at scale - and is energized by the challenge of making complex infrastructure simple, observable, and dependable.
Responsibilities:
Backend Services & Production Code
  • Design and ship production backend services in Go and/or Rust, measured by code quality, test coverage, and on-time delivery of service milestones.
  • Build and maintain high-throughput telemetry ingestion pipelines using gNMI, NETCONF, and SNMP, ensuring reliable data collection across large device fleets.
  • Develop RESTful and gRPC APIs that expose platform data to internal consumers and external integrations, evaluated by uptime, latency SLAs, and adoption by downstream teams.

Data Engineering & Storage
  • Implement and evolve the time-series storage layer (InfluxDB, TimescaleDB, or equivalent), optimizing for query performance, retention policies, and data fidelity under production load.
  • Build event streaming pipelines using Kafka or Kinesis with at-least-once or exactly-once semantics, validated through integration tests and production monitoring.
  • Design data partitioning and archival strategies that sustain target ingest volumes while meeting defined latency and durability SLAs.

Platform Reliability & Operations
  • Own service reliability end-to-end - participate in on-call rotation, lead incident response, and drive systemic improvements tracked via post-mortems and reduction in repeat incidents.
  • Instrument all services with structured logging, distributed tracing, and metrics (OpenTelemetry, Prometheus) so that production issues can be diagnosed and resolved within defined SLOs.

Cloud-Native Infrastructure
  • Package and deploy services as containerized workloads on Kubernetes, maintaining infrastructure-as-code (Terraform) across AWS, GCP, and Azure environments.
  • Contribute to multi-cloud deployment patterns that meet platform availability targets and data residency requirements.

Collaboration & Engineering Quality
  • Partner with the Principal Architect to translate platform architecture decisions into tested, production-grade implementations with clear engineering specifications.
  • Lead code reviews and serve as the primary technical authority for the team's engineering standards; mentor junior and senior engineers through pairing and guidance, establishing patterns and practices that raise the bar across teams.

Requirements:
  • 8+ years of backend software engineering experience, with a strong record of shipping production services at scale.
  • Proven, hands-on proficiency in Go and/or Rust - you write these languages regularly and can demonstrate production systems you have built with them.
  • Solid experience building and operating distributed data systems: event streaming (Kafka, Kinesis, or equivalent), time-series databases, and high-throughput ingestion pipelines.
  • Strong fundamentals in distributed systems: consistency models, failure modes, backpressure, idempotency, and exactly-once vs. at-least-once processing tradeoffs.
  • Experience with cloud-native deployment: containerization (Docker), Kubernetes orchestration, and operating services across at least one major cloud provider (AWS, GCP, or Azure).
  • Familiarity with observability tooling - structured logging, metrics (Prometheus/Grafana or equivalent), and distributed tracing (OpenTelemetry or equivalent).
  • Comfortable writing SQL and working with both relational and time-series data models; experience with schema design and query optimization.
  • Strong engineering practices: test-driven or test-informed development, code review, CI/CD, and operational ownership including on-call.
  • Demonstrated ability to drive technical decisions and influence engineering direction across multiple teams, with a track record of cross-functional technical leadership.

Preferred Qualifications:
  • Experience with network telemetry protocols (gNMI, NETCONF, SNMP) or prior work at a network equipment vendor or network management platform company (e.g., Juniper, Cisco, Nokia).
  • Hands-on experience with graph databases or graph data models for network topology (e.g., Neo4j, Amazon Neptune, or custom adjacency representations).
  • Familiarity with YANG data modeling or prior experience working with device configuration schemas in network management contexts.
  • Experience building multi-tenant SaaS backend services with strong data isolation and per-tenant resource management.
  • Contributions to open-source infrastructure, observability, or networking projects; or published technical writing on distributed systems topics.
  • Experience working in or adjacent to regulated, security-conscious environments (FedRAMP, NIST, or equivalent).

The approximate base salary range for this position is $187,944 - $246,068. The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site.
Compensation will vary based on individual factors such as education, qualifications, and experience of the final candidate(s), specific office location, and calibration against relevant market data and internal team equity. Posted base salary figures are subject to change as new market data becomes available. Our benefits include comprehensive medical, dental, and vision plans, matching 401(k), unlimited PTO and paid holidays, parental/adoption leave, legal insurance, and a home technology stipend. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment.
At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued.
We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer.
US Technical Jobs. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying "U.S. Person" (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law.
US Non-Technical Jobs. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law.
If you are interested in being a part of our team and mission, we encourage you to apply!