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Added 7 mins ago
Sr. Systems Engineer - Mainframe API Services
U.S. Bank
Earth City, MO
U.S. Bank is seeking a Sr. Systems Engineer - Mainframe API Services to support highly available mainframe API platforms and modernization initiatives. This role requires hands-on expertise…
Added 13 mins ago
Site Reliability Engineer
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Jefferson City, MO
…role blends software engineering, clinical engineering, and security principles with a deep understanding of healthcare operations to minimize downtime, improve system resilience, and to…
Added 15 mins ago
Staff Analytics Engineer
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GE Vernova is seeking an experienced Staff Analytics Engineer to join our Wind Engineering FPM Fleet Data & Analytics team. In this role, you will develop scalable data and analytics…
Added 16 mins ago
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Senior Platform Engineer
TEKsystems
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- $50 to $60 USD / hour
…standard Based architecture-Kubernetes experience-GIT principles, Infrastructure as a cloud principals-Core operating system, linux and windows knowledge. Base knowledge of applications and…
Added 25 mins ago
Data Platform Engineer Principal_999
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Added 25 mins ago
Principal Application Infrastructure Engineer
MED Medtronic Inc
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Imagine being at the forefront of medical innovation, where your infrastructure work directly enables life-saving technology. Medtronic is looking for an experienced infrastructure engineer…
Added 29 mins ago
Software Engineer III- AI & Engineering/Software as a Service
Deloitte
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…solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We…
Added 38 mins ago
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DevOps/Cloud Engineer
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Hartford, CT
- $120,047 to $150,820 USD / year
Infrastructure Automation - Design, implement, and maintain automated infrastructure provisioning and configuration management using industry standard DevOps tools.
Added 42 mins ago
DevOps IAC Developer
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Design, develop, and automate robust cloud solutions using Azure, Infrastructure-as-Code (IaC), and scripting for Windows and Linux environments.
Added 49 mins ago
Senior Site Reliability Engineer
Donnelley Financial Solutions
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5+ years with CI/CD and Infrastructure as Code using Azure DevOps, Harness, Ansible, Jenkins, Terraform, or similar
Added 54 mins ago
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Technical Support Engineer (CS)
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Remote, United States
- $120,000 to $140,000 USD / year
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Added 1 hour ago
Site Reliability Engineer I
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Site Reliability Engineer I
US: Mastercard Technologies, LLC
O'Fallon, MO
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Added 1 hour ago
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- $200,000 to $300,000 USD / year
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Added 1 hour ago
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Added 1 hour ago
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AWS certification, preferably AWS Certified DevOps Engineer, or Databricks certification.
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Set standards for CI/CD and infrastructure-as-code for data workloads, working with the DevOps engineer, so environments are repeatable and reviewed.
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We are seeking a highly motivated Data Engineer for our LillyDirect Pharmacy Covered Entity (LDPCE) Master Data team. This role involves designing, building, and maintaining robust and…
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Staff Agentic Software Engineer - US Ticketing Team Lead
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…year transformed your day-to-day workflow with AI? Nucleus Security is seeking an AI-focused, experienced Software Engineer to join our Integrations team and help expand our ecosystem of…
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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.

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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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