We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters Responsibilities Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads Manage and optimize Slurm-based HPC environments for distributed training of large language models Develop robust APIs and orchestration systems for both training pipelines and inference services Implement resource scheduling and job management systems across heterogeneous compute environments Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands Qualifications Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization Experience with deploying and managing distributed training systems at scale Deep understanding of container orchestration and distributed systems architecture High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies) Experience managing GPU clusters and optimizing compute resource utilization Required Skills Expert-level Kubernetes administration and YAML configuration management Proficiency with Slurm job scheduling, resource manag
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Meet Yubico Yubico is a global leader in identity security and creator of the YubiKey, the original hardware-backed passkey. We are publicly traded on Nasdaq Stockholm; our global footprint includes headquarters in Stockholm, Sweden, Silicon Valley, California; and Singapore. Why Join Our Mission? At Yubico, we are guided by a shared belief that your work matters. We operate under a cultural philosophy of Speed with Integrity , pushing the boundaries of technology to secure the AI frontier—protecting both human and agentic AI interactions—and leading the transition to post-quantum cryptography. In everything we do, we live by our core values: Battle Friction: We constantly look for new ways to simplify our products, our work, and the user experience. Inspire Higher: We think big, champion the open internet, and strive to do the right thing even when it is difficult. One Team: We are open, responsive, and collaborative, overcoming challenges and celebrating our successes together. Aligned with our commitment to open standards, we foster a thriving builder ecosystem through the Yubico Developer Program , offering free open-source repositories , libraries, and SDKs to help developers rapidly integrate strong hardware authentication into any application. Through close collaborations with technical partners like Google, Microsoft, and Amazon, as well as newer frontiers like OpenAI, we continue to shape a safer digital world while donating security keys to protect vulnerable communities, journalists, and humanitarian groups worldwide through our Secure it Forward program. The Role Join the team in charge of the infrastructure that supports our engineering teams. Working across Sweden and the US, we build and operate secure, reliable cloud platforms and software delivery systems. You will design and operate shared infrastructure, eliminate toil, and improve the developer experience. Our platform runs on GCP, focused on multi-tenant GKE clusters and managed cloud services.
Curious Minds. Bold Ideas. Extraordinary Impact . We're transforming financial services through bold innovation and relentless execution. You bring the ideas and drive. We'll build what's next — together. As a Senior Platform Engineer in Cloud Infrastructure, you'll help us continue to define infrastructure as code in AWS CDK, operating core services and making the architectural calls that balance scale, reliability, security and cost. You'll partner with application teams to turn what they need into capabilities they can move quickly with, lead proof-of-concepts on new services, and mentor engineers who will learn their craft from you. Your fingerprints will be on how nCino builds for years to come. Responsibilities Design, build, and maintain AWS infrastructure using Infrastructure as Code tools (AWS CDK, or similar), ensuring consistency, repeatability, and version control. Own and operate core AWS services including compute (ECS, Lambda), databases (RDS, DynamoDB), container orchestration (EKS/Kubernetes), and serverless technologies. Own and operate various ingress and edge architectures including, AWS WAF, AWS CloudFront, load balancers, DNS, TLS Certificates at scale. Collaborate directly with application development teams to understand their infrastructure needs and enable them with scalable, reliable platform capabilities. Provide architectural guidance and technical leadership on infrastructure design decisions, considering scalability, reliability, security, and cost-effectiveness. Implement and maintain security best practices across AWS infrastructure, including IAM policies, network security, encryption, and access controls support compliance efforts like SOC2, and PCI. Build and optimize CI/CD pipelines and deployment automation to enable efficient and safe software delivery and familiarity with Gitlab CI and Argo CD is desirable. Monitor, analyze, and optimize cloud costs, identifying opportunities for cost reduction while maintaining performance and
About the Role Together AI is hiring a Staff Platform Infrastructure Engineer to drive the service and platform infrastructure strategy across our engineering organization. This is a hands-on technical leadership role with the opportunity to establish a new team and shape its direction, defining the golden path for how services are built and operated at Together. This role will support mission-critical Product and Platform teams by providing a stable, scalable service infrastructure foundation for building and operating customer-facing and internal services. The focus is on making that foundation reliable, repeatable, and easy for teams to adopt. You'll own and evolve crucial shared infrastructure, roll out new infrastructure patterns and platform capabilities to service teams, and coordinate with other infrastructure teams to ensure services are built on company-wide foundations. In your first year, you might: Ship a new golden-path service template (scaffolding, Helm chart, CI/CD, and GitOps) and move the first set of services onto it. Implement zero-trust policies on our production clusters. Collaborate with DevProd and SREs on the migration to Kargo. Hire and grow the initial Platform Infrastructure team. Responsibilities Set the technical direction for service infrastructure across Kubernetes, AWS, CDN and edge networking, and related operational patterns. Design and build reusable infrastructure primitives, such as Helm charts and Terraform modules. Build self-service platform capabilities, operational runbooks, and AI-assisted tooling that accelerate service development and operations. Partner closely with service teams to modernize existing services and adopt stronger infrastructure patterns. Work with Infrastructure, Networking, and Security teams to translate company-wide platform standards into practical service-level implementations. Lead cross-company infrastructure initiatives such as Terraform CI/CD, Kubernetes networking, zero-trust service communica
Become a part of our caring community The Principal Storage Engineer is a senior technical leader responsible for defining and advancing the enterprise storage architecture and long-term data infrastructure strategy. This role establishes standards, develops five-year technology roadmaps, and designs secure, resilient, scalable, and cost-effective storage platforms for business-critical, analytics, and artificial intelligence workloads. The engineer serves as the organization’s storage subject-matter expert and partners with infrastructure, cloud, security, data, application, architecture, finance, and vendor teams to translate business requirements into sustainable technology capabilities. The Principal Storage Engineer is a senior technical leader responsible for defining and advancing the enterprise storage architecture and long-term data infrastructure strategy. This role establishes standards, develops five-year technology roadmaps, and designs secure, resilient, scalable, and cost-effective storage platforms for business-critical, analytics, and artificial intelligence workloads. The engineer serves as the organization’s storage subject-matter expert and partners with infrastructure, cloud, security, data, application, architecture, finance, and vendor teams to translate business requirements into sustainable technology capabilities. Key Responsibilities Define the enterprise storage vision, reference architecture, engineering standards, and five-year roadmap across block, file, object, software-defined, and hybrid storage services. Lead architecture decisions for on-premises AI infrastructure, including high-throughput and low-latency storage fo
NVIDIA is looking for a Systems & Software Engineer interested in building and running reliable large scale infrastructure platform services. In this role you will create and support automation that manages infrastructure, as part of our organization running EDA platforms atop of NVIDIA hardware. What you’ll be doing: Design, build, deploy, and run infrastructure services & manage the software life cycle in scope to meet our business goals Build and maintain automation to eliminate manual toil and scale output without scaling effort Participate in the definition of our internal facing service level objectives and error budgets as part of our overall observability strategy Practice sustainable blameless incident prevention and incident response while being a member of an on-call rotation Consult with and provide consultation for peer teams on systems design best practices What we need to see: BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics) or equivalent experience Experience coding in Python and/or Go. Note : you must be able to produce code without AI assistance during the interview process. Experience with infrastructure automation and distributed systems design Experience developing tools for running large scale private or public cloud systems in production In depth knowledge of Linux systems and Containers A track record showing a good balance between initiating your own projects, convincing others to collaborate with you and collaborating well on projects initiated by others. <
We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Making data driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide tooling and guidance to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively. Engineers on Data Infrastructure are domain experts in Data Warehouse, Data Lakehouse, Spark, Workflow Orchestration, and Streaming technologies. We scale our existing data pipelines in a performant and cost efficient way while creating the necessary abstractions to make developing on top of this platform extremely simple for other engineers at Plaid. Responsibilities Contribute towards the long-term technical roadmap for data-driven and machine learning iteration at Plaid Leading key data infrastructure projects such as improving ML development golden paths, implementing offline streaming solutions for data freshness, building net new ETL pipeline infrastructure, and evolving data warehouse or data lakehouse capabilities. Working with stakeholders in other teams and functions to define technical roa
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. Job Summary We are looking for an experienced Growth Infrastructure Engineer to build and maintain the technical backbone that enables scalable growth experiments, high-performance data pipelines, and automated systems that drive user acquisition, engagement, and product iteration. This role sits at the intersection of growth, product, and infrastructure — combining deep technical engineering with experimentation and data-driven optimization. You will collaborate with product, data science, and backend teams to ensure that growth initiatives run smoothly and scale efficiently across systems. Key Responsibilities Growth Infrastructure & Systems Design, implement, and maintain scalable infrastructure that supports growth and experimentation needs. Build and optimize analytics pipelines to capture key product and growth metrics (acquisition, activation, retention, etc.). Develop automated workflows for user onboarding, campaign delivery, and performance tracking. Experimentation & Optimization Support A/B testing frameworks and integrate them into production systems. Enable reliable data collection and evaluation for growth experiments. Automate deployment and rollout of growth feature flags and tests. Cross-Functional Collaboration Partner with Growth Product Managers, Data Engineers, and Analysts to define technical requirements for growth initiatives. Translate business goals into technical specifications and system designs. Provide guidance on performance, reliability, and scalability trade-offs. Monitoring & Reliability Implement monitoring and alerting for growth infrastructure services. Troubleshoot production issues and optimize for uptime and performance. Ensure data quality and consistency for report
P-1124 Summary At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. The impact you will have: Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services Attract top talent from across the industry. Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven Represent Databricks at academic and industry conferences & events What we look for: 7+ years of experience in Data Security or related areas and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus. 10+ years of experience building large scale distributed systems with high availability Leadersh
P-1124 Summary At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. The impact you will have: Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services Attract top talent from across the industry. Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven Represent Databricks at academic and industry conferences & events What we look for: 7+ years of experience in Data Security or related areas and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection and Response. Experience building systems at large scale internet companies is a huge plus. 10+ years of experience building large scale distributed systems with high availability Leadership
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: SpaceXSI is looking for an exceptional network engineer with experience in mission-critical or large-scale production environments to support our supercomputer infrastructure. As a member of the Physical Infrastructure Networking team, you will provide operational and designs services for physical infrastructure networks. The ideal candidate thrives in intense, high flux environments, brings a strong sense of urgency balanced with operational excellence, communicates effectively, and demonstrates high levels of technical acumen. RESPONSIBILITIES: Design and implement highly available networks, carefully balancing various routing and redundancy technologies depending on unique requirements between production and launch. Design and maintain mission data center and site networks in accordance with company network standards. Collaborating with adjacent infrastructure and enterprise teams. Evaluate, procure, and deploy network hardware including switches, firewalls, multiplexing and SDWAN appliances. Contribute to ever maturing network automation tooling; implementing configuration analysis, linting, and scalability into the deployment framework. Plan and coordinate n
A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We’re looking for Forward Deployed Infrastructure Engineers who can help us build, operate, and maintain high-performance, scalable, and reliable services for Palantir platforms, products, and deployments. You'll get to use your creativity to develop novel solutions to evolving challenges and automate processes wherever possible, using whichever tools are best for the job including industry-leading LLM and AI technology! As a Forward Deployed Infrastructure Engineer, every day is different! You will be developing software and providing high-quality support for software systems that are critical to solving our government’s greatest challenges. We strongly believe in engineering teams being responsible for the operations of their services in production. As such, you’ll work closely with forward deployed teams and product teams to participate in sensible, scalable, systems design and share responsibility with them in diagnosing, resolving, and preventing production issues. Core Responsibilities Handle support and operations of Palantir software, including monitoring and alerting, configuration management, and upgrades Deploy new Palantir products at customer deployments and perform migrations to the latest infrastructure types Debug, improve, and optimize Palantir’s services and infrastructure with a focus on long-term reliability and scalability Reduce manual operations and automate workflows, processes, and/or runbooks where possible Provide technical troubleshooting support for production issues, ensuring timely resolution and minimal impact on operations. Participate in a support on-call schedule. Develop
A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We’re looking for Forward Deployed Infrastructure Engineers who can help us build, operate, and maintain high-performance, scalable, and reliable services for Palantir platforms, products, and deployments. You'll get to use your creativity to develop novel solutions to evolving challenges and automate processes wherever possible, using whichever tools are best for the job including industry-leading LLM and AI technology! As a Forward Deployed Infrastructure Engineer, every day is different! You will be developing software and providing high-quality support for software systems that are critical to solving our government’s greatest challenges. We strongly believe in engineering teams being responsible for the operations of their services in production. As such, you’ll work closely with forward deployed teams and product teams to participate in sensible, scalable, systems design and share responsibility with them in diagnosing, resolving, and preventing production issues. Core Responsibilities Handle support and operations of Palantir software, including monitoring and alerting, configuration management, and upgrades Deploy new Palantir products at customer deployments and perform migrations to the latest infrastructure types Debug, improve, and optimise Palantir’s services and infrastructure with a focus on long-term reliability and scalability Reduce manual operations and automate workflows, processes, and/or runbooks where possible Provide technical troubleshooting support for production issues, ensuring timely resolution and minimal impact on operations. Participate in a support on-call schedule Develop n
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: As a backend engineer, you’ll design and build scalable, high-performance systems that power subscriptions infrastructure, new monetized products, user growth, and creator monetization. You’ll work on mission-critical infrastructure that processes millions of transactions, optimizes user acquisition and retention, and enables creators to earn a living through their content. This is a unique opportunity to make a large-scale revenue impact while creating products that users and businesses love. RESPONSIBILITIES: Design and build large scale search infrastructure (real-time indexing, serving, and data pipelines) that handles massive write and query loads with strict latency and reliability requirements Go deep into search internals (indexing, query execution, and relevance) and help shape the technical direction of the core search infrastructure Operate production services end to end, including monitoring, debugging, incident response, and performance optimization Lead and drive incident responses and recovery with your peers. Review and contribute to incident postmortems and hold a high bar for the same BASIC QUALIFICATIONS: 5+ years developing large-scale infrast
A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We’re looking for Forward Deployed Infrastructure Engineers who can help us build, operate, and maintain high-performance, scalable, and reliable services for Palantir platforms, products, and deployments. You'll get to use your creativity to develop novel solutions to evolving challenges and automate processes wherever possible, using whichever tools are best for the job including industry-leading LLM and AI technology! As a Forward Deployed Infrastructure Engineer, every day is different! You will be developing software and owning reliability and operations for software systems that are critical to solving our government’s greatest challenges. We strongly believe in engineering teams being responsible for the operations of their services in production. As such, you’ll work closely with both forward deployed teams and product teams to participate in sensible, scalable, systems design and share responsibility with them in diagnosing, resolving, and preventing production issues. Core Responsibilities Handle support and operations of Palantir software, including monitoring and alerting, configuration management, and upgrades Deploy new Palantir products across many production environments and perform migrations to the latest infrastructure types Debug, improve, and optimize Palantir’s services and infrastructure with a focus on long-term reliability and scalability Reduce manual operations and automate workflows, processes, and/or runbooks where possible Provide technical troubleshooting support for production issues, ensuring timely resolution and minimal impact on operations. Participate in a support on-call schedul
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