CrawlJobs Logo

Sr. Infrastructure Engineer – Cloud & Automation

United States 101005.00 USD / Year · Job Posted February 20, 2026
Apply Position
Job Link Share

Job Description

Build and maintain academic and research computing environments. Provide support to the University’s computing environment through technical knowledge of systems and the development of applications to support the secure and compliant operations of servers, storage, networking, and virtual environments. Provide support for the university research computing environments and the software, hardware, and infrastructure associated with research endeavors at the University. Build, configure and support HPC systems, on-prem clusters, and cloud environments (Amazon Web Services, Google Cloud Platform, Nutanix), providing support to researchers and ensuring optimal performance and job scheduling. Design, develop, and automate processes for efficient use in research, academic, and enterprise settings, ensuring compliance with data sensitivity standards. Implement security measures and manage budgets for cloud resources, optimizing resource usage, and minimizing costs. Onboard and assist students and researchers in utilizing virtual and physical environments effectively, providing training and documentation. Work from home is permitted.

Job Responsibility

  • Build and maintain academic and research computing environments
  • Provide support to the University’s computing environment through technical knowledge of systems and the development of applications to support the secure and compliant operations of servers, storage, networking, and virtual environments
  • Provide support for the university research computing environments and the software, hardware, and infrastructure associated with research endeavors at the University
  • Build, configure and support HPC systems, on-prem clusters, and cloud environments (Amazon Web Services, Google Cloud Platform, Nutanix), providing support to researchers and ensuring optimal performance and job scheduling
  • Design, develop, and automate processes for efficient use in research, academic, and enterprise settings, ensuring compliance with data sensitivity standards
  • Implement security measures and manage budgets for cloud resources, optimizing resource usage, and minimizing costs
  • Onboard and assist students and researchers in utilizing virtual and physical environments effectively, providing training and documentation

Requirements

  • Bachelor’s Degree in Computer Science, or a related field
  • 5 years of experience in a Sr. Infrastructure Engineer – Cloud & Automation or related occupation
  • Experience with Power Shell
  • Experience with Shell Scripting
  • Experience with Batch Scripting
  • Experience with Java
  • Experience with PHP
  • Experience with HTML
  • Experience with CSS
  • Experience with JavaScript
  • Experience with VirtualBox

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Sr. Infrastructure Engineer – Cloud & Automation

8 matching positions

Sr. Cloud Infrastructure Engineer (Ai & Llm Platforms)

We are seeking a specialized Infrastructure Engineer to bridge the gap between o...
Location
Location
Salary
Salary:
Not provided
q6cyber.com Logo
Q6 Cyber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience in DevOps, Platform Engineering, or SRE, with at least 1-2 years specifically focused on AI/ML infrastructure
  • Proven track record of building production-grade RAG pipelines or LLM-integrated applications
  • Thrives in 'day zero' environments where the tools and protocols (like MCP) are evolving weekly
  • Deep understanding of the security implications of LLMs (prompt injection, data leakage, and secure tool execution)
  • Experience working with substantial datasets (over 1bn objects, dozens or hundreds of TBs) and the challenges of leveraging AI tools with these data sets
  • Bachelor's degree or equivalent in computer science or related field
  • Cloud & Orchestration: AWS/GCP/Azure, Kubernetes, Terraform, Helm
  • AI Frameworks: LangChain, LlamaIndex, LangGraph
  • Data & Vectors: Pinecone, Milvus, Qdrant, or pgvector
  • Apache Kafka/Pulsar
Job Responsibility
Job Responsibility
  • Guide the architecture that will allow us to leverage AI tools with our large existing data stores and incoming streams of realtime intelligence
  • Work closely with other infrastructure engineers and software development teams to integrate AI tools into existing systems
  • Design, deploy, and maintain Model Context Protocol (MCP) servers to allow LLMs to securely interact with our internal databases, APIs, and external tooling
  • Build and orchestrate sandboxed, scalable environments (e.g., using Docker or specialized runtimes) where users can safely build and execute AI agents
  • Develop and manage the infrastructure for our internal RAG (Retrieval-Augmented Generation) pipeline, including vector database management (e.g., Pinecone, Weaviate, or pgvector) and automated embedding pipelines
  • Utilize Kubernetes (K8s) and Infrastructure as Code (Terraform/Pulumi) to deploy LLM-related tools, ensuring high availability and low latency for model inference and data retrieval
  • Implement strict guardrails for data privacy within LLM workflows, ensuring internal datasets remain secure while being accessible to authorized AI tools
What we offer
What we offer
  • We offer a competitive compensation package and comprehensive benefits package
  • Fulltime
Read More
Arrow Right

Sr. Cloud Infrastructure Engineer

We are seeking a highly skilled and experienced Sr Cloud Infrastructure Engineer...
Location
Location
India , Ahmedabad
Salary
Salary:
Not provided
arrow.com Logo
Arrow Electronics
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in computer science or software engineering and 10 years of software or cloud engineering experience
  • Strong Experience: Proven experience with Infrastructure as Code, Terraform, OpenTofu, CloudFormation and AWS, OCI and GCP cloud infrastructure management
  • Kubernetes Proficiency: Hands-on experience deploying, managing, and troubleshooting Kubernetes clusters
  • Scripting & Coding: Fluency in scripting/coding languages (e.g., Python, Bash, PowerShell) for automation and tooling
  • Terraform Module Development: Ability to create reusable Terraform modules to streamline infrastructure provisioning
  • Platform Mindset: A collaborative approach to working with development teams to build and maintain a robust platform
  • Cloud Security: Understanding of cloud security best practices and the ability to implement secure configurations
  • Problem-Solving: Excellent troubleshooting and problem-solving skills to address complex infrastructure issues
  • CI/CD Pipelines: Experience building and maintaining Continuous Integration and Continuous Deployment (CI/CD) pipelines with Harness, Jenkins, Atlantis or ArgoCD
  • Linux: Experience with user management, cronjob, bash scripting, troubleshooting and debugging skills required for DevOps engineer, configuring and monitoring Docker and Kubernetes nodes on Linux
Job Responsibility
Job Responsibility
  • Cloud Architecture: Design and implement scalable, high-availability cloud architectures on AWS, OCI or GCP optimizing for performance and cost-efficiency
  • Infrastructure as Code: Implement and maintain IaC principles using Terraform, Open Tofu, Ansible and CloudFormation to provision and manage cloud resources on our multi-cloud environments
  • Kubernetes Orchestration: Deploy, manage, and monitor containerized applications using Kubernetes, EKS ensuring seamless scaling and resilience
  • Automation & Scripting: Develop and maintain scripts and automation tools to streamline deployment, configuration management, and system maintenance
  • Platform Development: Contribute to the evolution of our platform, collaborating with development teams to ensure smooth integration and deployment
  • Monitoring & Observability: Implement and manage monitoring and logging solutions to proactively identify and address issues
  • Troubleshooting & Incident Response: Participate in incident response, troubleshooting, and resolving issues to minimize downtime and impact
  • Fulltime
Read More
Arrow Right

Cloud Infrastructure Sr. Engineer

Role Purpose: as a Cloud Infrastructure Sr. Engineer, you'll support Vodafone’s ...
Location
Location
Italy , Roma
Salary
Salary:
Not provided
vodafone.com Logo
Vodafone
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • An academic degree and at least 5 years of professional experience in cloud and virtualization
  • Expert in data centre infrastructure, cloud computing and virtualization architectures (IT and Telco) delivery
  • Solid understanding of virtualization (VMWare/ Openshift Cloud Platform) and containerization (Kubernetes)
  • Solid understanding of routing and switching protocols (ie. BGP / ISIS / OSPF)
  • Experience with kubernetes networking (CNIs, Service Mesh, Network Policies, Ingress/Egress)
  • Experience with Network Load Balancers and Firewalls
  • Customer oriented and systematic way of working
  • Strong communication and negotiation skills
  • Ability to work across multi-functional and cultural boundaries to deliver results and change
  • Strong individual applied thinking
Job Responsibility
Job Responsibility
  • Be responsible for the delivery lifecycle management of designed solutions within Cluster IT, GR, AL
  • Coordinate suppliers, engage with peers and other stakeholders to ensure the timely delivery of functionality and quality in projects
  • Design and be responsible of on time & on budget NVI Delivery according to the project’s timeline
  • Develop the process and automation of cloud infrastructure delivery
  • Define, address, track and report on standard and guideline adherence
  • Translate business language into technical requirements
Read More
Arrow Right

Sr. Cloud Engineer- Python/Go & Distributed Systems

FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers...
Location
Location
United States , Chicago; Englewood
Salary
Salary:
129515.93 - 194273.89 USD / Year
comcastadvertising.com Logo
Comcast Advertising
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years of professional software development experience
  • Strong backend development, coding, and debugging skills
  • Strong Proficiency in one or more of dynamic programming languages: Python/Go
  • Experience developing and debugging server-side applications or web services
  • Strong working expertise with cloud environments (AWS strongly preferred), including native services such as: EC2, S3, VPC, RDS, IAM
  • Working knowledge of CI/CD frameworks and orchestration such as: Jenkins, GIT, Kubernetes, Terraform, and/or Docker
  • Solid understanding of database structures and SQL
  • Exposure to infrastructure-as-code concepts
  • Understand our Operating Principles
  • Own the customer experience think and act in ways that put our customers first
Job Responsibility
Job Responsibility
  • Design, analyze, and troubleshoot UI, API, Search systems
  • Troubleshoot large-scale distributed systems
  • Build applications that run across multiple cloud platforms, leveraging native cloud services
  • Automate routine operational tasks to improve efficiency and reliability
  • Provide production support, including monitoring, incident response, and root cause analysis
  • Support secure configurations, vulnerability remediation, and operational readiness
  • Participate in software release cycles, including planning, testing, deployment, and monitoring
  • Develop automation tools, scripts, and workflows to streamline processes
  • Partner with engineering teams to identify and implement process and platform improvements
  • Serve in a rotating on-call rotation, providing 12-hour coverage for one week per month to support production systems
What we offer
What we offer
  • Paid Time off
  • Physical Wellbeing
  • Financial Wellbeing
  • Emotional Wellbeing
  • Life Events + Family Support
  • Fulltime
Read More
Arrow Right

Senior Software Engineer - Together Cloud Infrastructure

Together AI is building the AI Acceleration Cloud, an end-to-end platform for th...
Location
Location
United States , San Francisco
Salary
Salary:
160000.00 - 230000.00 USD / Year
together.ai Logo
Together AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of professional software development experience and proficiency in at least one backend programming language (Golang desired)
  • 5+ years experience writing high-performance, well-tested, production quality code
  • Demonstrated experience with building and operating high-performance and/or globally distributed micro-service architectures across one or more cloud providers (AWS, Azure, GCP)
  • Excellent communication skills – able to write clear design docs and work effectively with both technical and non-technical team members
  • Deep experience with Kubernetes internals a big plus, such as implementing non-trivial Kubernetes operators, device/storage/network plugins, custom schedulers, or patches thereon or Kubernetes itself
  • Deep experience with VMs/hypervisors a big plus, such as QEMU/KVM, cloud-hypervisor, VFIO, virtio, PCIE passthrough, Kubevirt, SR-IOV
  • Deep experience with DC networking tech + solutions a big plus, such as VLAN, VXLAN, VPN, VPC, OVS/OVN
  • Experience with Cluster API or similar a big plus
  • Experience working on high-performance compute, networking, and/or storage a big plus
  • Experience virtualizing GPUs and/or Infiniband a big plus
Job Responsibility
Job Responsibility
  • Design, build, and maintain performant, secure, and highly-available backend services/operators that run in our data centers and automate hardware management, such as Infiniband partitioning, in-DC parallel storage provisioning, and VM provisioning
  • Design and build out the IaaS software layer for a new GB200 data center with thousands of GPUs
  • Work on a global multi-exabyte high-performance object store, serving massive datasets for pretraining
  • Build advanced observability stacks for our customers with automated node lifecycle management for fault-tolerant distributed pretraining
  • Perform architecture and research work for decentralized AI workloads
  • Work on the core, open-source Together AI platform
  • Create services, tools, and developer documentation
  • Create testing frameworks for robustness and fault-tolerance
What we offer
What we offer
  • competitive compensation
  • startup equity
  • health insurance
  • other benefits
  • flexibility in terms of remote work
  • Fulltime
Read More
Arrow Right

Sr. Infrastructure Systems Engineer

Are you someone who loves solving complex technical challenges, working with mod...
Location
Location
United States , West Des Moines
Salary
Salary:
Not provided
https://www.roberthalf.com Logo
Robert Half
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Provide expert-level Windows Server support, including hands-on troubleshooting, debugging, and performance optimization
  • Deploy, manage, and support Azure AD, AWS, and Azure cloud services, ensuring high availability and secure configurations
  • Utilize Infrastructure as Code tools (Terraform preferred) to streamline and automate deployments
  • Apply scripting knowledge in PowerShell and Python to automate routine tasks and enhance system efficiency
  • Support and maintain Active Directory Domain Services, file structures, security permissions, and group policies
  • Assist in maintaining backup and disaster recovery processes to safeguard critical systems
  • Install and configure software in alignment with corporate standards and security requirements
  • Follow established configuration, change management, and documentation processes to ensure stability and traceability
  • Demonstrate strong understanding of computer architecture and operating systems fundamentals
  • Work with SAN/NAS storage technologies to support capacity, performance, and reliability needs
What we offer
What we offer
  • medical
  • vision
  • dental
  • life and disability insurance
  • 401(k) plan
Read More
Arrow Right

Sr Devops Engineer - Cloud(Python, Azure)

Scope: Core responsibilities include designing, developing, and maintaining appl...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
blueyonder.com Logo
Blue Yonder
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in computer science, Engineering, or related discipline (or equivalent hands-on experience)
  • 5–7 years of combined DevOps + Development experience
  • Experience in: Azure Cloud and Azure AI Foundry (model deployment, agent operations, flow orchestration)
  • Microservices development (Java/Python/Node.js)
  • CI/CD automation (GitHub Actions)
  • Kubernetes, Docker, container-based deployments
  • Infrastructure as Code using Terraform
  • REST API design and integration
  • SQL and distributed data platforms (Snowflake preferred)
  • Expertise in: Azure Foundry workspace setup, model region support, model/agent lifecycle
Job Responsibility
Job Responsibility
  • Design, develop, and maintain backend services and cloud-native applications
  • Build and automate CI/CD pipelines for both application code and AI Foundry models/agents
  • Automate cloud infrastructure provisioning using Terraform
  • Manage Azure Foundry deployments, including model endpoints, agent workflows, service configurations, and lifecycle tracking
  • Deploy containerized workloads on Kubernetes (AKS) and manage Helm-based releases
  • Implement monitoring, alerting, and observability for applications, Foundry agents, and pipelines
  • Perform debugging, root-cause analysis, and environment support for production systems
  • Integrate automation tests and validation steps into CI/CD pipelines
  • Collaborate with product, AI, and engineering teams to build scalable and reliable solutions
  • Maintain strong coding standards, security best practices, and version control discipline
  • Fulltime
Read More
Arrow Right

Sr Platformization/Cloud Automation Engineer

Palo Alto Networks CDSS group is looking for a seasoned platformization and clou...
Location
Location
United States , Santa Clara
Salary
Salary:
104600.00 - 169225.00 USD / Year
paloaltonetworks.it Logo
Palo Alto Networks Italia
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelors/Masters degree in Computer Science or a related field
  • 5+ years of industry experience in engineering
  • Fluent scripting skills (preferably Python or Bash) with deep experience in Unix/Linux systems from kernel to shell and beyond
  • 4+ years of working with Microservices architectures on Kubernetes
  • HandsOn experience with container native tools like Docker, Helm for managing workloads running in Kubernetes
  • Experience managing AWS and GCP at scale, with knowledge of cloud-neutral connectivity between platforms
  • Experience designing and maintaining API specifications using Swagger/OpenAPI, and working with API frameworks such as Apigee to enable secure, scalable integrations
  • HandsOn experience with infrastructure-as-code and automation tools such as Terraform, Ansible, etc.
  • Proficient in CI/CD platforms like GitlabCI, Jenkins, ArgoCD, CircleCI etc.
  • In-depth knowledge of operating systems (processes, threads, concurrency, etc)
Job Responsibility
Job Responsibility
  • Work with development teams to ensure that applications have scalability and reliability built-in from day one
  • Design, review and enhance software architecture to improve scalability, service reliability, cost, and performance
  • Drive platformization by building standardized, self-service infrastructure platforms that improve developer productivity, scalability, and operational efficiency
  • Deploy automation for provisioning and operating infrastructure at large scale
  • Partner with teams to improve CI/CD processes and technology
  • Mentor members of the staff on large scale cloud deployments
  • Drive the adoption of observability practices and a data-driven mindset
  • Setup processes like on-call rotations, Postmortems, Run books to continue supporting the infrastructure owned by the SRE team while finding ways to reduce the time to resolution and improve the reliability of services
  • Support, optimize and deploy mission critical, front-end and back-end production
  • Improving site performance, monitoring, and overall stability of our infrastructure
  • Fulltime
Read More
Arrow Right