• Companies
  • News
By technology
  • Python6k
  • AWS4.6k
  • Docker3.6k
  • Kubernetes3k
  • PostgreSQL2.6k
  • C++1.7k
  • Java1.7k
By category
  • Backend Developer9.4k
  • DevOps Engineer2.4k
  • Data Engineer2.2k
  • Machine Learning Engineer2.1k
  • Embedded Engineer1.8k
  • Full Stack Developer1.5k
  • Mobile Developer620
Work mode
  • On-site15.2k
  • Remote6k
  • Hybrid2k
Job type
  • Full-time22.4k
  • Part-time392
  • Contract339
  • Freelance122
  • internship5
  • seasonal1
Experience
  • Entry level
  • Mid level
  • Senior
  • Staff+
  • Engineering management

The job board for developers. Find your next role at companies that value great engineering.

© 2023-2026 . All rights reserved.

Logos provided by Logo.dev
Add
1,020 matches
Most relevantNewestHighest base
PDT Partners

Cloud Computing Engineer

1 month ago
PDT Partners · New York, NY
On-siteFull-timeAWS · GCP
Nebius

GPU Cluster Architect

1 month ago
Nebius · Remote - United States
RemoteFull-timeKubernetes · Docker
CarGurus

Senior DevOps Engineer

1 month ago
CarGurus · Boston, MA
On-siteFull-timeAWS · Docker
Altana

Senior Engineering Manager, Cloud Engineering

1 month ago
Altana · Brooklyn, NY
HybridFull-timeAWS · FedRAMP
SpaceX

Sr. IT Systems Engineer, DevOps

1 month ago
SpaceX · Hawthorne, CA
On-siteFull-timeKubernetes · Docker
SpaceX

Sr. Data Center Administrator

1 month ago
SpaceX · Cape Canaveral, FL
On-siteFull-timeLinux · Kubernetes
Trase Systems

Senior/Staff DevOps Engineer, Platform Infrastructure

1 month ago
Trase Systems · Seattle, WA
On-siteFull-timeKubernetes · Docker
Stripe

Offensive Security Engineer

1 month ago
Stripe · US - Remote
RemoteFull-timeAWS · Azure
Shakepay

Senior Security Engineer

1 month ago
Shakepay · Remote, Canada
RemoteFull-timePython · Go
Red Cell Partners

Senior/Staff DevOps Engineer, Platform Infrastructure

1 month ago
Red Cell Partners · Seattle, WA
On-siteFull-timeKubernetes · Docker
Practice Better

Intermediate DevOps Engineer

1 month ago
Practice Better · Remote - Canada
RemoteFull-timeDocker · Kubernetes
Harness

Forward Deployed Engineer (Implementation Engineering)

1 month ago
Harness · Chicago, IL
On-siteFull-timeKubernetes · Docker
Flagship Pioneering, Inc.

Director, Scientific Cloud Engineering

1 month ago
Flagship Pioneering, Inc. · Cambridge, MA
On-siteFull-timeAWS · GCP
Lantern

Staff Software Engineer (Architecture)

1 month ago
Lantern · Dallas, TX
HybridFull-timeAWS · Docker
Accenture Federal Services

Senior Cloud Infrastructure Engineer

1 month ago
Accenture Federal Services · Huntsville, AL
On-siteFull-timeAWS · Azure
Accenture Federal Services

Senior Cloud DevOps Engineer

1 month ago
Accenture Federal Services · Huntsville, AL
On-siteFull-timeKubernetes · Docker
Accenture Federal Services

Cloud Network Engineer

1 month ago
Accenture Federal Services · Huntsville, AL
On-siteFull-timeAWS · Azure
Accenture Federal Services

Cloud Infrastructure Engineer

1 month ago
Accenture Federal Services · Huntsville, AL
On-siteFull-timeAWS · Azure
Accenture Federal Services

Cloud DevOps Engineer

1 month ago
Accenture Federal Services · Huntsville, AL
On-siteFull-timeKubernetes · Docker
Maven Clinic

Staff Security Engineer, Detection & Response

1 month ago
Maven Clinic · New York, NY
HybridFull-timeAWS · Azure
  • Previous
  • 1
  • More pages
  • 28
29
  • 30
  • More pages
  • 51
  • Next
  • PDT Partners

    Cloud Computing Engineer

    PDT Partners · 🇺🇸 New York, NY · posted 1 month ago
    ApplyFull posting

    Extracted from the posting

    Base
    Not stated
    Remote
    Hybrid, 3 days/week NYC office
    On-call
    24/7 production support expected
    Eng team
    Small flat team
    Stack
    AWS, GCP, Azure, Kubernetes

    The posting, condensed

    Cloud Computing Engineer on PDT Partners' small team designing and operating cloud-based HPC systems for quantitative research. Responsibilities include HPC platform design, production support, CI/CD automation, and performance optimization. Required: 5+ years shipping software systems, 2+ years running production compute platforms, expertise in Python/Go/Rust, Terraform, Kubernetes/Slurm.

    About PDT Partners →

    The full posting

    The Cloud Computing team is a group of experts solving computing problems in the critical path of Research. We work directly with Research and Model Implementation teams and provide them with platform tools and computing resources to take their ideas from inception to real tradable products. We are looking for an ambitious and operationally minded software engineer to join our team as we mature and scale our cloud HPC platform to the next iteration of our firm-wide Research platform.

    This is a hybrid position and will require the person to work from our New York City office at minimum 3 days a week.

    Why join us? 

    PDT Partners has a 30+ year track record and a reputation for excellence. Our goal is to be the best quantitative investment manager in the world—measured by the quality of our products, not their size. PDT’s very high employee-retention rate speaks for itself. Our people are intellectually extraordinary and our community is close-knit, down-to-earth, and diverse.

    Responsibilities:

    We are a small flat team sitting at the cross-section of research, implementation, and platform infrastructure. Our team responsibilities span many areas. Including:

    • Design and implementation of cloud-based HPC systems. Our projects involve equal parts engineering and operations for success in our fast-moving environment. You will be expected to conceive and implement projects small and large in the intersection of HPC scheduling, metrics, containerization, software distribution, accelerated compute performance/efficiency, cloud architecture.
    • Running our HPC plant day-to-day. Our research environment is up 24/7, and we want to keep it that way. Everybody on the team contributes to the support of our platform, which thankfully is light because of our automation and quality work.
    • Implementing automation. We will always choose to work smart over working hard. You will be responsible for conception and implementation of automation from CI/CD pipelines to production metrics and monitoring of our cloud HPC platform.
    • Obsessive User Focus. All members of the team are expected to partner with researchers and engineers to deliver high-quality cloud HPC systems that are efficient and reliable. This includes leading projects to evolve it as our needs change.
    • Capacity management and benchmark optimization. Our demand for scale and performance is constant and involves challenging optimization problems for workloads critical to research and trading

    Below is a list of skills and experiences we think are relevant. Even if you don’t think you’re a perfect match, we still encourage you to apply because we are committed to developing our people.

    • Bachelors or Masters degree in an Engineering or Applied Sciences field from a rigorous academic program or equivalent professional experience.
    • 5+ years of experience building and shipping software systems
    • 2+ years running production compute platforms and scheduling systems.
    • Mastery of core software engineering concepts such as system design, testing, debugging, building reliable production systems with fluency in a language such as Python, Go, Rust etc.
    • Experience with a cloud-based infrastructure-as-code tool such as Terraform
    • Excellent written and verbal communication skills
    • Experience working with or supporting researchers and/or other developers is a plus
    • Hands-on experience managing inferencing and training hardware at scale
    • Knowledge of NVIDIA GPU management, Kubernetes, Slurm, and the wider large-scale compute ecosystem

    The salary range for this role is between $180,000 and $250,000. This range is not inclusive of any potential bonus amounts. Factors that may impact the agreed upon salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other external factors.

    PRIVACY STATEMENT: For information on ways PDT may collect, use, and process your personal information, please see PDT’s privacy notices.