NVIDIA’s DGX Cloud organization is seeking a Senior Data Engineer to become part of its data team! We develop the reliable data foundation that supports fleet health, capacity, utilization, cost, reliability, and operational decision-making throughout DGX Cloud. Our platform supports engineering, operations, finance, and product teams managing and expanding large GPU fleets across cloud service providers and NVIDIA Cloud Partners. We are looking for a practical engineer and technical lead to take charge of a key part of the Navigator data platform. We develop the systems that transform distributed infrastructure telemetry and operational data into dependable, managed data products that support fleet health, capacity, utilization, cost, and operational decisions. We are seeking a hands-on, platform-minded engineer to build and evolve the systems that turn distributed infrastructure telemetry and operational data into reliable, governed data products. You will work across ingestion, transformation, data quality, platform architecture, security, observability, and self-service consumption to help make Navigator and the DGXC data platform a dependable source of truth. We do expect strong engineering fundamentals, experience operating production systems, and the ability to learn new platforms and domains quickly. What you'll be doing: Own systems end to end. For example, work from ambiguous customer and operational needs through architecture, implementation, deployment, observability, incident response, and ongoing support. Construct data pipelines and products. Such as designing and maintain batch and streaming ingestion, transformation, reconciliation, and serving paths for fleet, capacity, utilization, cost, scheduling, and operational telemetry. Build shared libraries, workflow and DAG or equivalent experience abstractions to evolve the data platform. Develop deployment tooling, data
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The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. About the Role, Mission or Department Overview The Enterprise Productivity team helps colleagues do their best work by providing reliable, secure, and easy-to-use workplace technology. We manage a growing portfolio of SaaS applications and the systems, integrations, and processes that support how The Times works every day. As a Senior SaaS Systems Administrator, you will lead the administration, reliability, and continuous improvement of our SaaS platform stack. You will be the primary escalation point for complex admin-level incidents and a technical steward of the applications, integrations, and operational practices.You will report to the Manager of Enterprise Productivity Responsibilities: You will oversee the administration and ongoing improvement of a broad portfolio of SaaS applications, including: Google Workspace, Slack, Glean, Figma, Airtable, Coda, Miro, Trint, and other enterprise productivity tools. You will lead the investigation and resolution of complex application, access, configuration, identity, and integration incidents, leading issues through root-cause analysis, remediation, and preventative follow-up. You will establish and maintain standards for user and group access, permissions, application configuration, lifecycle management, integrations, and administrative controls in partnership with security, IT, and partners. You will be a technical steward of the SaaS application portfolio by defining ownership, documenting d
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The Safety team plays a critical role in supporting Micron’s mission to transform how the world uses information. We are committed to creating safe, sustainable, and innovative workplaces across our construction and manufacturing environments. Our team collaborates closely with engineering, operations, and construction partners to integrate safety into every stage of our work while driving continuous improvement and regulatory excellence. As an Safety Engineer, you will help protect people, property, and operations through proactive risk management, safety program development, and regulatory compliance. This role offers the opportunity to influence complex construction and industrial projects, leverage technology and AI-enabled solutions to improve safety outcomes, and contribute to a culture where safety is a core value. Responsibilities: Conduct hazard assessments, risk analyses, and safety reviews to support construction and industrial operations Develop, implement, and continuously improve safety programs, procedures, and training to enhance worker safety and regulatory compliance Perform safety audits, incident investigations, compliance inspections, and emergency response activities, including participation in an on-call rotation Partner with project teams and contractors to integrate safety-by-design principles and ensure effective execution of site safety requirements Utilize AI-enabled tools, workflows, and data analysis techniques to improve EHS processes, identify trends,
NVIDIA is seeking a Senior Staff SRE to build and operate reliable, scalable compute platforms that support global engineering workloads. This role spans Kubernetes, KubeVirt, bare-metal infrastructure, automation, observability, and AI-enabled operations. Join a team that solves complex infrastructure challenges, builds durable automation, and improves the reliability and operational experience of critical compute services. What you’ll be doing: Build, operate, and improve large-scale Kubernetes, KubeVirt, Linux, container, and bare-metal compute platforms, with a focus on performance, capacity, reliability, and operational scale. Lead bare-metal provisioning and lifecycle management in data centers, including PXE boot, DHCP, DNS, OS provisioning, hardware validation, and fleet automation. Develop automation, self-service capabilities, and observability solutions using APIs, Python or Go, Infrastructure as Code, configuration management, metrics, logs, traces, and service-health data. Define and operate SLOs, SLIs, error budgets, alerting, and incident-response practices; lead complex incident investigations, corrective actions, and blameless postmortems. Partner with infrastructure, security, hardware, data-center, and application teams to deliver global platform initiatives, and participate in an on-call rotation. What we need to see: BS in Computer Science, Engineering, a related technical field, or equivalent experience, plus 10+ years operating production infrastructure or platform services. Strong expertise in Kubernetes administration, KubeVirt, Docker, containerization, microservices, Linux systems, and resolving distributed-system challenges. <l
Senior SRE Reliability Engineer Location: New York, NY (Hybrid) / Remote Department: Engineering The Role Flowcode is seeking a Senior Site Reliability Engineer (SRE) to work on reliability and infrastructure efforts across our platforms. This role will help grow and drive our infrastructure strategy, operational rigor and observability while building and supporting the systems and tooling required to support Flowcode’s continued growth. As an individual contributor within our engineering organization, you will develop and operate scalable cloud infrastructure, establish best practices around deployment and reliability, and partner closely with engineering teams to ensure systems are scalable, resilient and observable. What You’ll Do Reliability & Infrastructure Improve system availability, scalability, and resilience across Flowcode's platforms Own key pieces of our EKS-based infrastructure end-to-end Contribute to incident response and postmortems, turning findings into durable fixes Support engineering teams with infrastructure questions, escalations, and day-to-day unblocking Cloud & Platform Engineering Manage and scale our core AWS footprint (EKS, VPC, RDS) through Infrastructure as Code (Terraform) Enhance disaster recovery and failover mechanisms to protect mission-critical workloads Collaborate with product engineering to streamline and optimize internal developer experience CI/CD & Deployment Automation Design and scale deployment pipelines using GitHub Actions Expand GitOps practices and tooling through ArgoCD Facilitate secure delivery with automated validation and progressive rollout strategies Observability & Monitoring Oversee and optimize the organization's monitoring, logging, and alerting infrastructure Develop high-signal metrics, tracing, and visualization dashboards while minimizing operational noise Establish and monitor Service Level Objectives for managed platform components Qualifications Required 4+ years of profession
Location Details: At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely. Remote: This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. About the Team Global Compute builds and operates the core cloud infrastructure that engineering teams rely on every day. We provision and manage AWS accounts across the company, operate the network backbone that connects them, and maintain the security guardrails that keep those environments safe, compliant, and scalable. We believe reliability is an engineering challenge, not an operations task. We automate repetitive work, build for scale before it becomes a problem, and invest heavily in observability to identify issues before they impact the business. What you'll get to do... Operate and scale AWS production infrastructure, owning the health of services that provision, secure, and manage accounts across GoDaddy AWS organisations. Design, build, and maintain cloud platform capabilities using Python, CloudFormation, AWS CDK, and automation-first practices. Drive cost optimisation initiatives that improve efficiency and deliver measurable business impact. Improve observability through monitoring, alerting, dashboards, and operational tooling. Participate in on-call rotations, lead incident response efforts, and drive long-term reliability improvements through blameless post-incident reviews. Support strategic AWS initiatives across networking, identity, governance, and multi-account architecture. Review code and designs, contribute documentation and operational runbooks, and mentor fellow engineers. Leverage AI-assisted tooling to improve engineering productivity, accelerate automation, and reduce operati
Location Details: At GoDaddy, the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely. Remote: This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. About the Team Global Compute builds and operates the core cloud infrastructure that engineering teams rely on every day. We provision and manage AWS accounts across the company, operate the network backbone that connects them, and maintain the security guardrails that keep those environments safe, compliant, and scalable. We believe reliability is an engineering challenge, not an operations task. We automate repetitive work, build for scale before it becomes a problem, and invest heavily in observability to identify issues before they impact the business. What you'll get to do... Operate and scale AWS production infrastructure, owning the health of services that provision, secure, and manage accounts across GoDaddy AWS organisations. Design, build, and maintain cloud platform capabilities using Python, CloudFormation, AWS CDK, and automation-first practices. Drive cost optimisation initiatives that improve efficiency and deliver measurable business impact. Improve observability through monitoring, alerting, dashboards, and operational tooling. Participate in on-call rotations, lead incident response efforts, and drive long-term reliability improvements through blameless post-incident reviews. Support strategic AWS initiatives across networking, identity, governance, and multi-account architecture. Review code and designs, contribute documentation and operational runbooks, and mentor fellow engineers. Leverage AI-assisted tooling to improve engineering productivity, accelerate automation, and reduce operat
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft connects people to transportation to change the way we live and get around our communities. Lyft’s engineering team is growing rapidly, and we are looking for Technical Program Managers to help us scale. Come be part of a new team at Lyft focused on enabling and empowering engineering teams to deliver at scale. Our drivers and passengers entrust Lyft with their personal information and travel details to get where they're going and expect us to keep that data safe. Lyft's security team leads efforts across the company to ensure our systems are secure and worthy of our users' trust. The security team designs and builds Lyft's security architecture, consult with other teams as they build and launch new products and features, proactively plans for the unexpected, and responds to incidents that occur. Our work affects the entire company and takes place at all levels of the stack, from infrastructure to web application security, as well as mobile apps, IT, and autonomous vehicles. We try to approach security from a software engineering standpoint. We believe in scaling security through automation and tooling and we ship frequently. Check out our blog posts at https://eng.lyft.com/tagged/security to learn more about some of the things we’ve built. We’re looking for the right person to join our team to perform service and application security review, and move us along our maturity journey. In order to be scalable, each secure product quality gate must be automated and integrated into our software release pipeline. Our grand vision is a fully automated series of quality controls that constantly validate that our
About the Team DoorDash Labs is an independent team within DoorDash. We're hiring a Senior Operations Associate to lead a team of operators to execute against autonomy goals. If you have a passion for applying robotics solutions to a service loved by millions of people, then we want to talk to you! About the Role We are looking for a driven Senior Operations Associate who is excited about managing a dynamic operations team leading the forefront of delivery technology. You will manage a PM shift (2:30-12:30AM MST) of our operations team supporting autonomous testing, bringing autonomous technology from ideation to commercialization. You will report to an Associate Operations Manager or Operations Manager on our robotics team in our DoorDash Labs organization. This job is 100% onsite at our Operations Hub in Mesa, AZ with some duties in Chandler and Tempe, AZ. You’re excited about this opportunity because you will… Manage a component of our operations Effectively communicate status updates to key stakeholders, including timely identification and escalation/resolution of issues Serve as an escalation path for issues in the field, to include incidents and onsite presence depending on severity Maintain an “and not either or” attitude when it comes to balancing business needs, costs, and safety Be an expert in our autonomous technology and help track and convey changes to it Strive to push metrics and add to them personally We’re excited about you because you have… 4+ years of experience (preferably in the autonomous industry or with strong interest) Managed an operationally efficient team through multiple product phases A proven track record of operating in cross-functional initiatives and succeeding in a complex and fast moving environment An analytical mindset and can deliver actionable recommendations out of complex situations; Proficiency in gSuite, JIRA and SQL is preferred but not essential Notice to Applicants for Jobs Located in NYC
Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Team The Alarms team builds systems that detect, verify, and respond to real-world security threats using sensors, cameras, and AI. You’ll work on products that are critical during high-stakes moments and directly impact customer safety. We operate as a small, fast-moving team with significant ownership, collaborating across mobile, backend, and firmware. About the Role We’re looking for a Senior Android Engineer to help build and maintain the mobile experience for our Alarms product. This role is focused on developing high-quality mobile applications used for real-time monitoring, alerts, and incident response. You will also work on device-facing experiences, including building native Linux-based UIs for embedded products. What You'll Do Build and maintain features across Android And iOS mobile applications for the Alarms product Develo
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Senior Software Engineer on the Risk Engineering team within the Consumer & Business group, you'll build and optimize the systems that detect and prevent fraud, manage credit and market risk, and protect millions of users from financial threats in real time at crypto-market scale. You'll provide technical leadership for end-to-end projects, drive architectural decisions that shape our risk detection and mitigation systems, and deliver complex features from inception through production. Your work directly reduces financial loss and keeps Coinbase users safe. What you'll do: Lead the design and delivery of complex risk platform features end-to-end, from architecture through implementation, deployment, and monitoring, with stringent requirements for correctness, performance, and reliability Drive architectural decisions that shape Coinbase's risk detection and mitigation systems, translating ambiguous business requirements into scalable working architectures that balance fraud prevention with user experience Partner cross-functionally with Data Science, ML, Risk Analysts, Product, and Compliance teams to build proactive systems (real-time decisioning engines, model-driven fraud detection) and reactive solutions (incident response tooling, compliance-driven risk controls) Build AI-native risk systems that leverage fleets of agents to automate complex detection a
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About Okta for AI Agents Okta secures access for 20,000 organizations and billions of users. Okta for AI Agents extends that work to the agentic shift. Deploying an AI agent is not like deploying traditional software. You are putting professional work output into production, and it needs deep integration, continuous tuning, and change management. Every agent needs an identity, a scope, an audit trail, and a way to be shut down when it goes wrong. Most enterprises have not built this yet. We are. We hire builders who see the cracks in enterprise agent identity that everyone else has learned to live with. The Role You embed inside four to five of Okta’s most strategic enterprise customers as their dedicated technical partner for agent identity. You sit alongside their identity, platform, and security engineering teams, write production code in their environment, and own the technical outcome from prototype through production. You are a builder-consultant. You go past architecture diagrams to code, debug, and ship bespoke agent identity solutions inside the customer’s environment. You ship secure agents faster for the customer, and you feed real field insight back to Okta product engineering. Responsibilities Become the customer’s trusted technical voice on agent security. Sit in their standups, design reviews, and incident response. Earn a seat on their architecture review board and security council for agent risk decisions. Architect and deploy with the cust
About the role We’re looking for an engineering manager to lead a team building software systems that detect and prevent harmful misuse of frontier AI models—before incidents occur. This is a builder’s role: you’ll lead engineers shipping production services, detection pipelines, and mitigation mechanisms that protect frontier model integrity and reduce high-severity misuse risk. While this work intersects with frontier model development, security and risk, we’re explicitly seeking someone with a software engineering foundation who is comfortable building reliable systems that can operate at billions of users scale. In this role you will: Lead a team of software engineers building detection + mitigation systems for frontier model misuse, with an emphasis on model IP protection / distillation detection and emerging risk surfaces from autonomous agents. Set the technical roadmap and execution strategy: prioritize, design, ship, iterate, measure impact. Build production systems: services, pipelines, tooling, instrumentation, and automation that scale with frontier model usage. Partner deeply with Research and Product to translate evolving model capabilities into concrete tests, signals, and mitigations that can be deployed at scale. Drive strong engineering fundamentals: architecture, reliability, monitoring, performance, and operational excellence. Hire and grow an exceptional team across backend, data systems, and applied ML engineering domains as needed. Anticipate what breaks at scale as agentic workflows become more capable. You might thrive in this role if you: Experience building systems in adversarial, fast-evolving environments Are comfortable with ambiguity and novelty Have experience adjacent to security (e.g., abuse prevention, fraud, integrity, platform defense, auth/identity, malware/spam, adversarial environments) Communicate clearly and build trust quickly with senior stakeholders—pragmatic, collaborative, and calm under scrutiny. Significant experience
Block builds simple, powerful tools that make progress towards an economy that’s truly open to all. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we’re helping build a financial system that is open to everyone. Join us. The Role As a member of the SRE team, you will proactively and reactively improve the reliability of Block's platform and critical infrastructure. You are metrics-driven, systems-oriented, and focused on building distributed platforms that enable safe, scalable product development. You will leverage and continuously improve AI-driven tooling and automation to enhance observability, accelerate incident detection and response, and reduce operational toil. This includes applying AI to incident analysis, alert tuning, and operational workflows. You will participate in primary platform oncall (12 hours per day, one week every few weeks, depending on team size), supporting Block's most critical (Tier 0) services. In this role, you will lead incident command, coordinate mitigation, and drive effective escalation during high-severity events. You Will Build and extend platforms to improve system reliability Work on team goals that encompass reliability for the entire company Standardize reliability tools across multiple platforms and organizations Triage, coordinate, and lead stabilization of sev 0–1 incidents Serve as primary oncall, maintaining structured escalation paths and exercising leadership escalation Drive platform-wide reliability improvements, shared operational tooling, and deploy-safety patterns Use AI-driven systems t
Block builds simple, powerful tools that make progress towards an economy that’s truly open to all. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we’re helping build a financial system that is open to everyone. Join us. The Role As a member of the SRE team, you will proactively and reactively improve the reliability of Block's platform and critical infrastructure. You are metrics-driven, systems-oriented, and focused on building distributed platforms that enable safe, scalable product development. You will leverage and continuously improve AI-driven tooling and automation to enhance observability, accelerate incident detection and response, and reduce operational toil. This includes applying AI to incident analysis, alert tuning, and operational workflows. You will participate in primary platform oncall (12 hours per day, one week every few weeks, depending on team size), supporting Block's most critical (Tier 0) services. In this role, you will lead incident command, coordinate mitigation, and drive effective escalation during high-severity events. You Will Build and extend platforms to improve system reliability Work on team goals that encompass reliability for the entire company Standardize reliability tools across multiple platforms and organizations Triage, coordinate, and lead stabilization of sev 0–1 incidents Serve as primary oncall, maintaining structured escalation paths and exercising leadership escalation Drive platform-wide reliability improvements, shared operational tooling, and deploy-safety patterns Use AI-driven systems t
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