Ansible Jobs

19 open roles mentioning Ansible

HPC Systems Engineer

17h ago
A

Anduril Industries

Anduril Industries is seeking a High Performance Computing (HPC) System Engineer to directly support sensitive programs by building and maintaining large-scale HPC infrastructure. This role offers the opportunity to work with leading engineers and cybersecurity professionals on cutting-edge systems deployed globally for national security missions. You will be instrumental in architecting, deploying, and managing advanced GPU infrastructure, ensuring the seamless operation of critical compute environments.

$147k - $196k

Costa Mesa, California, United States onsite
AWSAzurePython +25 more

Senior Software Engineer, AI Platform

1d ago
A

Anduril Industries

Anduril's Continuous Integration platform is crucial for enabling all engineering teams to build, test, and deploy products globally. In this role, you will ensure this platform is reliable and fast, helping to build and deliver fully automated, faster, and more reliable CI pipelines. Your primary focus will be on functional and operational improvements that directly speed up the build, test, and deployment experience for critical business lines, with work that will compound across other products. You will deliver against a shared roadmap, own epics end-to-end, and instrument metrics to track improvements in the CI experience. This role involves working across a complex delivery ecosystem, multi-stage release pipelines, and Cloud and Robot environments where correctness has measurable consequences. If you enjoy building essential infrastructure for other engineers on systems that ship real defense technology, this is the role for you.

$191k - $254k

Washington, District of Columbia, United States remote
DockerKubernetesPython +9 more

Senior Software Engineer, AI Platform

1d ago
A

Anduril Industries

Anduril's Continuous Integration platform is crucial for enabling all engineering teams to build, test, and deploy products globally. In this role, you will ensure this platform is reliable and fast, helping to build and deliver fully automated, faster, and more reliable CI pipelines. Your primary focus will be on functional and operational improvements that directly speed up the build, test, and deployment experience for critical business lines, with work that will compound across other products. You will deliver against a shared roadmap, own epics end-to-end, and instrument metrics to track improvements in the CI experience. This role involves working across a complex delivery ecosystem, multi-stage release pipelines, and Cloud and Robot environments where correctness has measurable consequences. If you enjoy building essential infrastructure for other engineers on systems that ship real defense technology, this is the role for you.

$191k - $254k

Seattle, Washington, United States remote
DockerKubernetesPython +9 more

Senior Software Engineer, AI Platform

1d ago
A

Anduril Industries

Anduril's Continuous Integration platform is crucial for enabling all engineering teams to build, test, and deploy products globally. In this role, you will ensure this platform is reliable and fast, helping to build and deliver fully automated, faster, and more reliable CI pipelines. Your primary focus will be on functional and operational improvements that directly speed up the build, test, and deployment experience for critical business lines, with work that will compound across other products. You will deliver against a shared roadmap, own epics end-to-end, and instrument metrics to track improvements in the CI experience. This role involves working across a complex delivery ecosystem, multi-stage release pipelines, and Cloud and Robot environments where correctness has measurable consequences. If you enjoy building essential infrastructure for other engineers on systems that ship real defense technology, this is the role for you.

$191k - $254k

Costa Mesa, California, United States remote
DockerKubernetesPython +9 more

Senior Software Engineer, AI Platform

1d ago
A

Anduril Industries

Anduril's Continuous Integration platform is crucial for enabling all engineering teams to build, test, and deploy products globally. In this role, you will ensure this platform is reliable and fast, helping to build and deliver fully automated, faster, and more reliable CI pipelines. Your primary focus will be on functional and operational improvements that directly speed up the build, test, and deployment experience for critical business lines, with work that will compound across other products. You will deliver against a shared roadmap, own epics end-to-end, and instrument metrics to track improvements in the CI experience. This role involves working across a complex delivery ecosystem, multi-stage release pipelines, and Cloud and Robot environments where correctness has measurable consequences. If you enjoy building essential infrastructure for other engineers on systems that ship real defense technology, this is the role for you.

$191k - $254k

Boston, Massachusetts, United States remote
DockerKubernetesPython +9 more

Software Engineer, AI Platform

1d ago
A

Anduril Industries

Anduril's Continuous Integration platform is crucial for enabling all engineering teams to build, test, and deploy products globally. In this role, you will ensure the platform is reliable and fast, helping to build and deliver fully automated CI pipelines that allow teams to ship code without causing issues for others. Your primary focus will be on functional and operational improvements that directly speed up the build, test, and deployment experience for critical business lines, with work that will also compound across other products. You will contribute to a shared roadmap, own specific epics from start to finish, and implement metrics to track improvements in the CI experience. This role involves working across a complex delivery ecosystem, multi-stage release pipelines, and Cloud and Robot environments where accuracy has significant consequences. If you enjoy building essential infrastructure for other engineers and working on systems that deliver real defense technology, this is the opportunity for you.

$167k - $222k

Boston, Massachusetts, United States onsite
DockerKubernetesPython +8 more

AWS Technical Architect

2d ago
Accenture

Accenture

Accenture is seeking technically skilled professionals to join their AWS Technical Architect team. This role involves supporting cross-industry organizations in their cloud transformation journeys, focusing on cloud architecture, pre-sales, sales, and client delivery. The ideal candidate will have hands-on AWS experience, a strong understanding of cloud architecture, and an interest in emerging technologies like AWS Agentic AI services. You will be responsible for designing and contributing to reusable cloud architecture assets, supporting client pursuits, and collaborating with various teams to deliver innovative solutions.

$70k - $196k

New York, One Manhattan West, Corp remote
AWSPythonAI Agents +7 more

Staff Engineer, Distributed Storage and HPC & AI Infrastructure

5d ago
Together AI

Together AI

In this role, you will operate, scale, and optimize multi-petabyte storage systems purpose-built for the world’s largest AI training and inference workloads. You’ll manage and scale high-performance parallel filesystems and object stores, evaluate and integrate cutting-edge technologies, and solve complex engineering challenges of operating at extreme throughput, low-latency data paths, and massive cluster-scale storage operations. You will also build Kubernetes-native storage operators and self-service platforms that provide automated provisioning, strict multi-tenancy, performance isolation, and quota enforcement at cluster scale.

$250k - $330k

San Francisco remote
KubernetesPythonGo +9 more

Sr./Staff Network Design Engineer, AI/HPC

21d ago
G

Groq

Groq is building high-performance AI infrastructure designed to make inference fast, predictable, and scalable. Our infrastructure teams design and operate the systems that connect compute, data, and services at significant scale. We are looking for a Sr./Staff Network Engineer, AI/HPC to help architect, design, validate, and evolve the network infrastructure supporting Groq's rapidly growing AI compute environments. As a Sr./Staff Network Design Engineer, you will own network architecture and design across high-performance data center and AI infrastructure environments. You will translate capacity, performance, reliability, and business requirements into scalable network designs that can be deployed and operated consistently. This role requires deep expertise in data center networking, routing protocols, network architecture, automation, and large-scale infrastructure. You will work closely with network operations, data center engineering, compute, platform, security, and infrastructure teams to take designs from concept through validation and production deployment.

$270k - $366k

Dallas, United States hybrid full_time
AWSAzureGoogle Cloud +12 more

AI Compute Engineer - NVIS

27d ago
n

nvidia

NVIDIA is seeking an AI Compute Engineer to join its Infrastructure Specialists team. This role involves working on some of the world's largest and fastest AI Compute systems, supporting academic, commercial, and government groups. The engineer will interact with customers, partners, and internal teams to analyze, define, and implement large-scale AI Compute projects, encompassing networking, system design, automation, and validation.

$124k - $196k

US, CA, Santa Clara onsite
KubernetesPythonDeep Learning +8 more

Senior AI Compute Engineer - NVIS

28d ago
n

nvidia

NVIDIA is seeking a Senior AI Compute Engineer to join its Infrastructure Specialists team. This role involves working with academic, commercial, and government groups globally to revolutionize deep learning and data analytics, and to power data centers. You will be part of a team building some of the world's largest and fastest AI Compute systems. The position requires strong interpersonal skills to interact with customers, partners, and internal teams to analyze, define, and implement large-scale AI Compute projects, encompassing networking, system design, automation, and validation.

$148k - $288k

US, CA, Santa Clara onsite
KubernetesPythonDeep Learning +8 more

Sr Staff Site Reliability Engineer, AI Infrastructure

29d ago
d

d-Matrix

d-Matrix is seeking a Sr Staff Site Reliability Engineer to join their AI Infrastructure team. This role is crucial for owning the infrastructure layer that powers all engineering teams and customers, encompassing colocation facilities, on-premises GPU clusters, cloud environments, and platform services. You will be responsible for reliability, automation, and observability across these diverse environments, managing systems end-to-end from provisioning to incident response. This is a hands-on position focused on building and operating real infrastructure, collaborating with hardware and software teams on CI/CD, QA, and HPC workloads, and supporting customer-facing deployments.

$175k - $265k

Santa Clara onsite FullTime
AWSAzureGoogle Cloud +10 more

Platform Software Validation Engineer - SDET

1mo ago
n

nvidia

NVIDIA is seeking an outstanding individual to join our platform SWQA team as a Platform Software Validation Engineer (SDET). This role involves developing and executing test plans for NVIDIA HGX/DGX/MGX platforms, covering servers, OS, firmware, and CUDA software stacks. You will be responsible for installing and testing various systems, OS, server firmware, and software stacks, and driving root cause analysis for reliability and validation test failures. The position requires building and developing server and OS level automation frameworks and tests, reviewing partner and supplier test results, and managing the bug lifecycle within an agile development team.

$140k - $270k

US, CA, Santa Clara remote
DockerKubernetesPython +11 more

Staff Software Engineer - AI Compute, Together Cloud

1mo ago
Together AI

Together AI

Together AI is building the AI Native Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art GPU cloud infrastructure. The Together Cloud team builds the flagship IaaS product that provides high-performance, AI-ready GPU clusters through a self-serve cloud console, along with the virtualized infrastructure layer powering Together's inference, RL, and fine-tuning products. As a Staff Software Engineer focusing on AI Compute, you will set technical direction for and build major components of the next generation AI cloud platform – a highly available, global cloud infrastructure with cutting-edge virtualization of the latest ML hardware. This is an architect-and-build role where you will set the architecture for automated bootstrapping of GPU data centers, high-performance virtualization, and fault-tolerant decentralized control planes, and be a key owner of the hardest parts, in the code as well as the design. Your designs will span the IaaS layer up to the global management plane that schedules capacity across all data centers. At this level, the job is as much leverage as code: the standards you set and the engineers you grow decide how fast the rest of Together Cloud ships.

$260k - $300k

San Francisco remote
AWSAzureGoogle Cloud +11 more

Senior Software Engineer - AI Compute, Together Cloud

1mo ago
Together AI

Together AI

Together AI is building the AI Native Cloud, an end-to-end platform for the full generative AI lifecycle, combining a fast LLM inference engine with state-of-the-art GPU cloud infrastructure. The Together Cloud team builds the flagship IaaS product that provides high-performance, AI-ready GPU clusters through a self-serve cloud console, along with the virtualized infrastructure layer powering Together's inference, RL, and fine-tuning products. As a Senior Software Engineer focusing on AI Compute, you will build and own major components of the next generation AI cloud platform – a highly available, global cloud infrastructure with cutting-edge virtualization of the latest ML hardware. This virtualized computing platform powers our own SaaS products and serves external cloud customers through self-serve offerings. The hard problems in rapidly scaling heterogeneous GPU fleets are software problems that we solve by building global and in-DC services, Kubernetes operators, and high-performance SDN libraries, forking hypervisors and Linux kernels, and building infra tailored to inference and fine-tuning. You'll own massive greenfield projects across their full lifecycle – scoping the problem, designing the system, and building it through to GA launch.

$220k - $270k

San Francisco remote
AWSAzureGoogle Cloud +31 more

Platform Engineer, Model Shaping

1mo ago
Together AI

Together AI

The Model Shaping team at Together AI focuses on products and research for tailoring open foundation models to downstream applications. We build services that enable machine learning developers to select optimal models for their tasks and enhance them with domain-specific data. Additionally, we develop novel methods for efficient model training and evaluation, drawing from diverse ideas in machine learning, natural language processing, and ML systems. As a Platform Engineer in this team, you will operate at the intersection of backend engineering and infrastructure, developing the core layers of Together’s platform for model customization and evaluation. Your role will involve designing, developing, and maintaining the backend services and underlying systems necessary for sustainably and reliably scaling production workflows for users and internal research experiments. You will collaborate cross-functionally with other engineers and researchers to enhance infrastructure based on project needs and integrate services with other engineering teams at Together.

$200k - $290k

San Francisco remote
AWSAzureGoogle Cloud +10 more

Senior Software Engineer, Observability

1mo ago
Together AI

Together AI

Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle. The AI Infrastructure team is at the forefront of building and scaling the foundational systems that power our generative AI platform. The storage and observability team is crucial for designing, implementing, and maintaining robust distributed storage solutions, ensuring seamless data access and management. They are also responsible for developing comprehensive observability platforms, providing critical insights into system performance and GPU utilization, and proactively identifying and resolving issues.

$200k - $280k

San Francisco remote
AWSAzureGoogle Cloud +12 more

Sr./Staff Network Design Engineer, AI/HPC

1mo ago
G

Groq

Groq is building high-performance AI infrastructure designed to make inference fast, predictable, and scalable. Our infrastructure teams design and operate the systems that connect compute, data, and services at significant scale. We are looking for a Sr./Staff Network Engineer, AI/HPC to help architect, design, validate, and evolve the network infrastructure supporting Groq's rapidly growing AI compute environments. As a Sr./Staff Network Design Engineer, you will own network architecture and design across high-performance data center and AI infrastructure environments. You will translate capacity, performance, reliability, and business requirements into scalable network designs that can be deployed and operated consistently. This role requires deep expertise in data center networking, routing protocols, network architecture, automation, and large-scale infrastructure. You will work closely with network operations, data center engineering, compute, platform, security, and infrastructure teams to take designs from concept through validation and production deployment.

$270k - $366k

San Francisco, United States hybrid full_time
AWSAzureGoogle Cloud +12 more

NCX Senior Engineer

1mo ago
n

nvidia

NVIDIA is seeking an NCX Senior Engineer to join our DSX team, collaborating closely with strategic customers to implement and enhance groundbreaking AI workloads. You will deliver hands-on technical assistance for advanced AI deployments, intricate distributed systems, and ensure customers realize efficient performance from NVIDIA's AI platform across varied environments. We partner with the world's most innovative AI companies to address their most challenging technical problems. In this role, you will develop innovative solutions that advance AI infrastructure capabilities and directly influence customer success with breakthrough AI initiatives.

$184k - $357k

US, CA, Santa Clara hybrid
KubernetesPythonGo +33 more

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