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Staff Infrastructure Engineer (Data Acquisition & Observability)

Quantum computing holds the promise of humanity’s mastery over the natural world, but only if we can build a real quantum computer. PsiQuantum is on a mission to build the first real, useful quantum computers, capable of delivering the world-changing applications that the technology has long promised. We know that means we will need to build a system with roughly 1 million qubits that supports fault tolerant error correction within a scalable architecture, and a data center footprint.

By harnessing the laws of quantum physics, quantum computers can provide exponential performance increases over today’s most powerful supercomputers, offering the potential for extraordinary advances across a broad range of industries including climate, energy, healthcare, pharmaceuticals, finance, agriculture, transportation, materials design, and many more.

PsiQuantum has determined the fastest path to delivering a useful quantum computer, years earlier than the rest of the industry. Our architecture is based on silicon photonics which gives us the ability to produce our components at Tier-1 semiconductor fabs such as GlobalFoundries where we leverage high-volume semiconductor manufacturing processes, the same processes that are already producing billions of chips for telecom and consumer electronics applications. We also benefit from the quantum mechanics reality that photons don’t feel heat or electromagnetic interference, allowing us to take advantage of existing cryogenic cooling systems and industry standard fiber connectivity.

In 2024, PsiQuantum announced two government-funded projects to support the build-out of our first Quantum Data Centers and utility-scale quantum computers in Brisbane, Australia and Chicago, Illinois. Both projects are backed by nations that understand quantum computing’s potential impact and the need to scale this technology to unlock that potential. And we won’t just be building the hardware, but also the fault tolerant quantum applications that will provide industry-transforming results.

Quantum computing is not just an evolution of the decades-old advancement in compute power. It provides the key to mastering our future, not merely discovering it. The potential is enormous, and we have the plan to make it real. Come join us.

There’s much more work to be done and we are looking for exceptional talent to join us on this extraordinary journey!

Job Summary:

PsiQuantum is looking for a Staff Infrastructure Engineer to design, deploy, and optimize infrastructure supporting the data acquisition and observability stack. This role focuses on Infrastructure as Code (IaC), platform management, and performance tuning in high-scale distributed environments.

Responsibilities:

  • Architect and build and manage scalable infrastructure to support data pipelines and observability services.
  • Develop and maintain Infrastructure as Code (IaC) solutions (Terraform, Pulumi, Ansible).
  • Optimize platform performance for low-latency, high-throughput workloads.
  • Deploy and manage Kubernetes clusters and containerized services.
  • Implement automated deployment, CI/CD, and system monitoring solutions.
  • Ensure networking, security, and system reliability across cloud and bare-metal environments.
  • Collaborate with software engineers on system integration and data engineers on storage and schema management.

Experience/Qualifications:

  • 10+ years in infrastructure engineering, platform deployment, or DevOps managing high performance data pipelines.
  • Expertise in Infrastructure as Code (IaC) tools (Terraform, Pulumi, Ansible).
  • Hands-on experience with Kubernetes, container orchestration, and service mesh architectures.
  • Strong understanding of high-performance networking for data pipelines.
  • Experience with streaming/messaging platforms (Kafka, Pulsar, Flink, RabbitMQ).
  • Strong background in real-time data pipelines and observability stacks (OpenTelemetry, Prometheus, Grafana, ELK).
  • Deep knowledge of high-performance databases (Postgres, InfluxDB, Prometheus, Elasticsearch, Cassandra).
  • Proficiency in cloud platforms (AWS, GCP, Azure) and on-prem infrastructure.
  • Experience with observability tools (Prometheus, Grafana, OpenTelemetry, ELK stack).
  • Knowledge of CI/CD workflows and automated deployment strategies.
  • Able to work effectively across a number of different teams/functionalities.
  • Excellent communication skills.

PsiQuantum provides equal employment opportunity for all applicants and employees. PsiQuantum does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws.

Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to recruiting@psiquantum.com.

We are not accepting unsolicited resumes from employment agencies.

The range below reflects the minimum and maximum target range for new hire base salary across all US locations. Actual compensation may vary outside of this range and is dependent on various factors including but not limited to a candidate's qualifications including relevant education and training, competencies, experience, geographic location, and business needs. Base pay is only one part of the total compensation package. Full time roles are eligible for equity and benefits. Base pay is subject to change and may be modified in the future.

For a fully qualified candidate, the expected base pay range is: 

Base Pay Range
$180,000$225,000 USD

Average salary estimate

$202500 / YEARLY (est.)
min
max
$180000K
$225000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Staff Infrastructure Engineer (Data Acquisition & Observability), Psiquantum

At PsiQuantum, we're on the cusp of revolutionizing the world of quantum computing, and we're looking for a passionate and skilled Staff Infrastructure Engineer to join our team in Palo Alto, California. If you’re excited about building the underlying infrastructure that supports data acquisition and observability for cutting-edge technology, you might be the perfect fit for us! In this role, you’ll leverage your expertise to design and optimize scalable infrastructure that can handle robust data pipelines and observability services. You’ll be working in a high-scale distributed environment, where Infrastructure as Code (IaC) is the name of the game. Imagine using powerful tools like Terraform, Pulumi, and Ansible to develop and maintain systems that can process vast amounts of data with incredible efficiency. You will also be responsible for deploying Kubernetes clusters and managing containerized services while ensuring that performance is top-notch for low-latency, high-throughput workloads. Collaboration is key at PsiQuantum, so you’ll work closely with software engineers and data engineers to ensure seamless integration and optimal performance. If you have 10+ years of experience in infrastructure engineering or DevOps with a strong passion for quantum technology, we want to hear from you! Join us on this extraordinary journey as we build the future of quantum computing together.

Frequently Asked Questions (FAQs) for Staff Infrastructure Engineer (Data Acquisition & Observability) Role at Psiquantum
What are the responsibilities of a Staff Infrastructure Engineer at PsiQuantum?

As a Staff Infrastructure Engineer at PsiQuantum, your primary responsibilities include designing and optimizing scalable infrastructure for data pipelines and observability services. You'll utilize Infrastructure as Code (IaC) tools such as Terraform, Pulumi, and Ansible, and manage Kubernetes clusters. Performance tuning for low-latency workloads, implementing automated deployment solutions, and ensuring system reliability across cloud and bare-metal environments will be essential parts of your role.

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What qualifications are needed to be a Staff Infrastructure Engineer at PsiQuantum?

To qualify for the Staff Infrastructure Engineer position at PsiQuantum, you should have at least 10 years of experience in infrastructure engineering or DevOps. Proficiency in Infrastructure as Code tools, a solid background in Kubernetes and container orchestration, as well as experience with high-performance networking and data pipelines is crucial. Knowledge of observability tools like Prometheus and Grafana is also important.

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What tools and technologies does a Staff Infrastructure Engineer at PsiQuantum use?

A Staff Infrastructure Engineer at PsiQuantum uses various cutting-edge tools including Infrastructure as Code technologies like Terraform, Pulumi, and Ansible, alongside Kubernetes for container orchestration. Familiarity with streaming platforms such as Kafka and observability tools such as OpenTelemetry, Prometheus, and Grafana is essential. You will also work with cloud platforms like AWS, GCP, Azure, and high-performance databases.

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How does the Staff Infrastructure Engineer role contribute to PsiQuantum's mission?

The Staff Infrastructure Engineer plays a pivotal role in PsiQuantum's mission to build the first real quantum computers by creating the infrastructure required for aggregate data goes through our systems. Your contributions ensure that data acquisition and observability are seamless, promoting faster deployment of quantum applications that will transform industries.

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What is the work culture like at PsiQuantum for a Staff Infrastructure Engineer?

At PsiQuantum, the work culture is collaborative and innovative, with a strong emphasis on teamwork. As a Staff Infrastructure Engineer, you’ll engage with cross-functional teams to solve complex problems in quantum computing. The environment is supportive, encouraging creativity and offering you the chance to be a part of groundbreaking advancements in technology.

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Common Interview Questions for Staff Infrastructure Engineer (Data Acquisition & Observability)
What experience do you have with Infrastructure as Code in your past roles as an Infrastructure Engineer?

In responding to this question, highlight your familiarity with tools like Terraform, Pulumi, or Ansible. Discuss specific projects where you implemented IaC practices, including challenges faced and solutions you devised to optimize infrastructure management.

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Can you describe your experience with Kubernetes and container orchestration?

For this question, you should explain your hands-on experience with Kubernetes, including how you’ve deployed and managed clusters. Share any challenges you faced in scaling applications and how you ensured reliability in production environments.

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How do you approach optimizing performance for data pipelines?

Your answer should reflect your understanding of various factors that affect performance, such as networking, data processing speed, and load balancing. Provide examples from past experiences where you identified bottlenecks and successfully enhanced throughput and latency.

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Explain your approach to ensuring security and reliability within cloud environments.

Highlight your experience with implementing security best practices in cloud settings. Discuss specific strategies such as role-based access control, network segmentation, and monitoring that you have employed to ensure the infrastructure remains secure and reliable.

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Describe a time you had to collaborate with software engineers and data engineers.

This is an opportunity to showcase your collaboration skills. Provide an example where you worked together to integrate systems, outlining the strategies employed for effective communication and your contribution to achieving a successful outcome.

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What tools do you use for monitoring and observability in your infrastructure?

Discuss your familiarity with tools like Prometheus, Grafana, and ELK Stack. Provide examples of how you have set up monitoring solutions to track system health and performance and how those tools were instrumental in decision-making.

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How do you manage the deployment of applications using CI/CD practices?

Explain your experience with CI/CD pipelines and the tools you’re familiar with. Discuss how you’ve automated deployments and any challenges faced when implementing CI/CD workflows in a complex architecture.

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What was a recent project you worked on related to high-performance data processing?

Share details about a project where you handled large-scale data processing, outlining the technologies employed, your specific role, and the impact of your contributions on the project’s success.

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How do you handle troubleshooting in a high-scale distributed environment?

Talk about your systematic approach to identifying issues in distributed systems. Highlight methodologies you utilize for root cause analysis and the tools that aid you in quickly diagnosing and fixing problems.

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What strategies do you use to stay updated with the latest technologies in cloud platforms?

Discuss your commitment to continuous learning, whether through online courses, attending workshops, or participating in community forums. Mention any relevant certifications or independent projects you’re currently involved in to demonstrate your proactive approach.

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Full-time, on-site
DATE POSTED
April 3, 2025

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