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Added 4 mins ago
Principal Product Manager, Agent Intelligence
Equinix LLC
United States
A systems engineering background: several years building or operating distributed systems, data platforms, infrastructure or ML systems as an engineer, or equivalent hands-on depth
Added 9 mins ago
AI Lead Engineer, Vice President
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Added 9 mins ago
Lead Deployment Engineer
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Added 12 mins ago
Lead Data Engineer
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Added 18 mins ago
AI and Data Science Solution Engineer
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Added 19 mins ago
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Senior Software Engineer
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- $131,700 to $196,600 USD / year
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Added 21 mins ago
IAM Engineer I, II, III, or Senior
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Added 23 mins ago
Lead Data Engineer
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Added 26 mins ago
IT Systems Engineer I
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From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.
Added 27 mins ago
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Lead DevOps Engineer
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- $130,000 to $170,000 USD / year
Kforce has a client that is seeking a Lead DevOps Engineer in West Valley City, UT.
Added 29 mins ago
Senior Software Engineer
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Natera is seeking a Senior Software Engineer to join a small, high-leverage team inside the Case Management Platform (CMP) organization. This is a new and intentionally unique role: you…
Added 29 mins ago
Lead System Integration Engineer
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Added 33 mins ago
Senior GNC Engineer, Space Special Programs
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Added 33 mins ago
Senior Solutions Architect - Presales
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United States
…will identify customer workloads, design potential solutions, lead hands-on technical evaluations, and translate customer requirements back to DataPelago's engineering and product…
Added 33 mins ago
Senior Solutions Architect - Presales
NetApp
United States
…will identify customer workloads, design potential solutions, lead hands-on technical evaluations, and translate customer requirements back to DataPelago's engineering and product…
Added 33 mins ago
Senior Solutions Architect - Presales
NetApp
United States
…will identify customer workloads, design potential solutions, lead hands-on technical evaluations, and translate customer requirements back to DataPelago's engineering and product…
Added 36 mins ago
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Senior Software Engineer
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- $203,000 to $254,667 USD / year
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Added 38 mins ago
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- $150,000 to $200,000 USD / year
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Added 38 mins ago
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Founding Forward Deployed Engineer
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- $175,000 to $255,000 USD / year
- Lead technical deployments from discovery through go-live and own outcomes such as inventory, sourcing efficiency, and forecast accuracy.
Added 39 mins ago
People Science Consultant
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…partnership, you'll make sure insights land in the business and lead to real…
Added 39 mins ago
People Science Consultant
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…partnership, you'll make sure insights land in the business and lead to real…
Added 39 mins ago
Junior AI and Automation Engineer
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As Myriad360's Junior AI & Automation Engineer, you will report to the AI & Automation Lead and work alongside the AI & Automation Engineer to build, test, and support AI-powered…
Added 46 mins ago
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Staff, Systems and Infrastructure Engineer (Vulnerability Management) | Bentonville, Arkansas
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Bentonville, AR
- $90,000 to $180,000 USD / year
As a Staff Systems and Infrastructure Engineer on APEX Vulnerability Management, you will be the team’s technical lead for keeping the technology Walmart associates use secure. You will…
Added 49 mins ago
Senior Data Engineer
Cricut
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We're hiring a Senior Data Engineer to shape the data foundation behind Cricut's product analytics, personalization, and AI initiatives. You'll own and evolve our event data platform, from…
Added 53 mins ago
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Electrical Test Engineer
Actalent
Golden Valley, MN
- $45 to $65 USD / hour
Electrical Test Engineer We are seeking a Test Engineer to lead system verification, reliability validation, and test strategy development for complex robotic and electro-mechanical…

Closed listing

Quantum Sky

Senior Infrastructure Engineer

Reston, VA, United States

The salary range for this position is typically between $175,000-$210,000.

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Pay: The salary range for this position is typically between $175,000-$210,000.
Experience: Experience: 5+ years in infrastructure, platform, cloud, or site reliability engineering, including 2+ years of hands-on production work on Google Cloud Platform.
Posting language: English
Posted: Oct 22, 2026

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Original job description

Archived listing. The details below describe a past opening.

Description

Quantum Sky is seeking a Senior Infrastructure Engineer to design, build, and operate the cloud and AI infrastructure behind Project 137, the company's applied-research and IP engine. Reporting to the Director of Infrastructure Engineering, this engineer will own Google Cloud Platform (GCP) and Kubernetes environments that run AI/ML training, inference, and data workloads.

The role is approximately 85% hands-on engineering and 15% project coordination. The ideal candidate is a senior practitioner with deep GCP expertise, production experience supporting AI workloads, and the organizational discipline to plan and schedule infrastructure work across teams.

Responsibilities:

Cloud and AI infrastructure

Design, build, and operate production infrastructure on Google Cloud Platform, including landing zones, VPC networking, Cloud IAM, storage, and organization policy.
Engineer and scale infrastructure for AI/ML workloads: GPU and TPU capacity, distributed training, model serving and inference, and high-throughput data pipelines.
Support data-science and research teams on Vertex AI, Kubeflow, and related MLOps tooling, including environment provisioning, model registries, and experiment infrastructure.
Build and maintain hybrid connectivity between on-premises data-center and cloud environments, including Cloud Interconnect, VPN, DNS, and load balancing.

Kubernetes and platform engineering

Architect and operate GKE clusters, including GPU node pools, autoscaling, workload identity, networking and ingress, and version upgrades.
Build reusable platform components and Helm charts that give engineering and research teams self-service access to compute and AI tooling.
Define and automate infrastructure with Terraform and GitOps practices, using Git as the source of truth for configuration, manifests, and CI/CD pipelines.

Reliability and security

Implement observability, alerting, and SLOs using Cloud Operations, Prometheus, and Grafana; participate in on-call and lead root-cause analysis on incidents.
Apply cloud security controls: least-privilege IAM, secrets management, container image scanning, policy-as-code, and software supply-chain protections.
Plan, build, and test backup and disaster-recovery capabilities for platform and AI workloads.
Mentor engineers, lead design reviews, and document architecture standards and runbooks.

Project coordination (approx. 15%)

Plan and schedule infrastructure workstreams, maintaining timelines, milestones, and dependency tracking across engineering, research, and operations teams.
Organize technical work into clear tasks and priorities, and report progress and blockers to the Director of Infrastructure Engineering.

Qualifications

Required:

Education: Bachelor's degree in computer science, engineering, or a related technical field. Equivalent experience considered.
Experience: 5+ years in infrastructure, platform, cloud, or site reliability engineering, including 2+ years of hands-on production work on Google Cloud Platform.
Google Cloud: Deep expertise across Compute Engine, GKE, VPC, Cloud IAM, Cloud Storage, Cloud Operations.
AI infrastructure: Experience supporting AI/ML workloads in production, including GPU or TPU provisioning, training and inference platforms, and MLOps tooling such as Vertex AI or Kubeflow.
Kubernetes: Production experience operating Kubernetes, including cluster operations, Helm, networking and ingress, RBAC, autoscaling, and upgrades.
Automation: Strong Terraform and Git-based workflow skills; experience with CI/CD tooling such as Cloud Build, GitHub Actions, GitLab CI, or Argo CD.
Scripting: Proficiency in Python, Go, or Bash for automation and tooling.
Networking and systems: Solid understanding of Linux, TCP/IP, DNS, load balancing, and hybrid cloud connectivity.
Organization: Proven ability to plan, schedule, and track technical work across multiple concurrent workstreams using tools such as Jira or Confluence.
Communication: Clear written and verbal skills; able to explain technical trade-offs to engineers, researchers, and leadership.

Desired:

Google Cloud Professional Cloud Architect, Professional Cloud DevOps Engineer, or Professional Machine Learning Engineer certification.
Certified Kubernetes Administrator (CKA), Application Developer (CKAD), or Security Specialist (CKS).
Experience with GPU scheduling and sharing on Kubernetes (NVIDIA GPU Operator, Kueue, or Ray) and large-scale distributed training.
Familiarity with data-center fundamentals for high-density compute, including power, cooling, and capacity planning.
Multi-cloud experience with AWS or Azure alongside GCP.

Location:

This position is based in [Reston, VA] with a [hybrid / on-site] schedule. Occasional travel of approximately 10-20% to partner sites and data-center locations.

Clearance:

Secret (required), Top Secret/ SCI (preferred)

About Quantum Sky

Compensation:

Compensation is unique to each candidate and relative to the skills and experience they bring to the position. The salary range for this position is typically between $175,000-$210,000. This does not guarantee a specific salary as compensation is based upon multiple factors such as education, experience, certifications, and other requirements, and may fall outside of the above-stated range.

Benefits:

Highlights of our benefits include Health/Dental/Vision, 401(k) match, Paid Time Off, STD/LTD/Life Insurance, Referral Bonuses, professional development reimbursement, and parental leave.

The world the mission operates in is going post-quantum, contested, and machine-speed. Quantum Sky engineers the advantage across cyber, networks, software, and quantum because the mission demands dominance, not parity. We don't follow the map. We draw it.

At Quantum Sky, we believe that success starts with our people. We foster a collaborative, innovative, and mission-driven environment where every team member plays a critical role in shaping the future of technology. Are you ready to join #TeamQuantumSky?

Quantum Sky Engineering LLC is an Equal Opportunity Employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, [sexual orientation, gender identity,] national origin, disability, status as a protected veteran, or any characteristic protected by applicable law.

Submit a Referral (https://careers-quantumsky.icims.com/jobs/2251/senior-infrastructure-engineer/job?mode=apply&apply=yes&in_iframe=1&hashed=-1834326889)

Software Powered by ICIMS

Location US-VA-Reston

ID 2026-2251

Category Information Technology

Position Type Full-Time

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