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About the Role REMOTE IN INDIA We're looking for a software engineer to build the Kubernetes-native control plane that provisions and runs our GPU inference fleet. You'll design a manifest-driven API where the inference team declares what they need, whether that's a cluster, a model deployment, or a capacity change, and our controllers handle the reconciliation, provider/runtime selection, and lifecycle management underneath, so the inference team never has to know or care which specific serving stack, scheduler, or hardware pool is doing the work. You'll also build the systems that keep the fleet efficient, not just running, including defragmentation and rebalancing logic that consolidates scattered workloads back into contiguous capacity, and scheduling/bin-packing improvements that push GPU utilization up without hurting latency. The core value we're after is decoupling the people building on top of the platform from the operational and runtime complexity underneath, while squeezing more usable capacity out of the same hardware. You'll build the controllers, reconciliation loops, and self-service surface (API/CLI, not tickets) that make that decoupling real, plus the event-driven health, remediation, and utilization systems that keep it running and efficient without a human in the loop. Strong candidates have hands-on experience with Kubernetes controller/CRD patterns, have built or operated a platform API that abstracts multiple backends behind one interface, understand GPU scheduling and capacity efficiency (fragmentation, bin-packing, right-sizing), and think about GPU infrastructure as software to be engineered. A product mindset - you've built internal platforms or APIs consumed by other engineering teams and care about the developer experience of what you ship. You build it, you own it. You are not only responsible for delivering the software but also for operating and supporting it in production. Responsibilities Build the provisioning state machine

Notre mission et nos clients : Nous créons la liberté pour que les PME réussissent, en proposant le premier espace de travail financier en Europe — avec la banque au cœur, enrichi d'outils financiers. Nous sommes fiers d'être notés 4,8 sur Trustpilot, sur la base de plus de 55 000 avis. Notre culture place la satisfaction client au cœur de tout ce que nous faisons, comme en témoigne notre Net Promoter Score de 75 (en savoir plus sur notre culture ici). Notre histoire : Fondé en 2017 par Alexandre et Steve, Qonto a grandi pour atteindre plus de 1 600 Qontoers, qui servent plus de 600 000 clients dans 8 pays européens. Rentables depuis 2023, nous n'en sommes qu'au début. Nos convictions : Nous recrutons sur les compétences et le potentiel. Avec plus de 80 nationalités, 45 % de femmes — dont 56 % au sein de notre équipe dirigeante — la diversité n'est pas un programme : c'est qui nous sommes. Nous avons construit un processus de recrutement sans discrimination, parce que les meilleures équipes se construisent sur le mérite. L'IA chez Qonto : L'IA est profondément ancrée dans notre façon de travailler (ici) — chaque Qontoer a un accès illimité aux meilleurs outils d'IA. Nous cherchons des personnes qui expérimentent sans attendre la permission, qui poussent l'IA au-delà de l'évident, et qui savent quand lui faire confiance — et quand la remettre en question. En juillet 2026, Qonto a racheté Acasi pour construire la première offre bancaire et comptable vraiment intégrée pour les entrepreneurs. Notre conviction : les entrepreneurs méritent une comptabilité certifiée, intégrée directement à leurs outils, pilotée par des pros qui ont du temps pour conseiller plutôt que saisir. L'IA automatise ce qui peut l'être, et le métier se déplace vers ce qui a toujours eu le plus de valeur : le conseil et la relation client. En tant que Collaborateur·rice Comptable, tu rejoindras une équipe en hypercroissance au cœur de cette transformation, avec un portefeuille de clients à pilote

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE We are looking for a hands-on leader to own the data, analytics, and AI portfolio end to end — and the team that builds it. You are the single point of accountability between business stakeholders and the analytics organization: gathering and pressure-testing requirements, turning ambiguous problems into a prioritized roadmap, and leading the developers, analysts, and data scientists who deliver scalable, trusted, widely adopted products. This is not a role that manages from a distance. You will be in the requirements sessions, the data model reviews, the SQL, the dashboard design critiques, and the model evaluations — and you will be measured on adoption and business outcomes, not backlog size or model sophistication. WHAT YOU'LL DO Team Leadership & Talent ● Lead the team. Manage a talented team of senior and junior developers, analysts, and data scientists — setting direction on best practices, engineering standards, and alignment with team priorities. ● Develop people. Mentor team members, connecting their personal and professional goals to real career growth; set the standard for rigor and craft. Stakeholder Partnership & Requirements ● Be the trusted partner. Serve as the primary interface to the different organizations and run structured discovery to elicit underlying needs, not feature requests. ● Write requirements that hold up. Translate business questions into testa

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As the Team Lead for Initiator & Protocol Engineering, you will spearhead the critical bridge between our industry-leading FlashArray and the Linux/VMWare ecosystems. You will drive the performance and reliability of our storage protocol stacks—spanning NVMe over Fabrics and Fibre Channel—ensuring Pure Storage remains the gold standard for enterprise connectivity. Collaborating closely with cross-functional hardware and software teams, you’ll mentor a high-caliber engineering squad to solve complex kernel-level challenges and influence the global Linux upstream community. WHAT YOU'LL DO Own the Protocol Lifecycle: Lead the development, maintenance, and optimization of Linux and VMWare initiator stacks (NVMeoF, FC-SCSI, iSCSI) and target drivers to ensure seamless, high-performance integration with Pure FlashArray. Drive System Resilience: Architect enhancements for Fibre Channel and NIC driver stacks that improve RAS (Reliability, Availability, and Serviceability), specifically focusing on multipathing logic and link health monitoring. Technical Leadership & Mentorship: Guide a team of senior and junior engineers through complex project deliveries, conducting deep-dive code reviews and setting the technical bar for C/C++ and Python development within the kernel space. Solve the Impossible: Act as the final escalation point for the most challenging system-level bugs found in the field or internal testing, u

Scale’s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for custom LLMs Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes. Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments. Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases. Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff and ensuring all products align with a cohesive, future-proof technical architecture. Bridge the gap between the field and the core platform by turning real-world client lessons into the reusable patterns that power the entire engineering team. Ideally you’d have: Masters or Phd in Computer Science or eq

You will lead a small, hands-on engineering team building the secure, scalable Core Analytics Data Access Platform that accelerates Datadog’s Applied AI and analytics capabilities. The team owns the Data Access Platform — a unified interface that lets AI and analytics teams discover and self-serve production-ready datasets while abstracting underlying systems and embedding required legal and compliance guardrails. In this role you’ll own technical direction, contribute to design and code, and partner closely with Applied AI, Product Analytics, and internal platform teams to provide reliable datasets and APIs for model training and analysis. This role balances day-to-day engineering leadership with long-term platform planning. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead a Hands-On Engineering Team: Manage, mentor, and grow a small team of 2–4 data engineers (mix of senior and junior) across Paris and NYC, fostering technical excellence and career development. Own Technical Direction and Delivery: Define architecture, engineering priorities, and the team roadmap for the Data Access Platform, driving implementation of scalable, secure data pipelines and platform services. Contribute to Design and Code: Spend substantial time coding, reviewing, and shipping critical platform components to ensure performance, reliability, and operational excellence. Partner with Internal Stakeholders: Work closely with Applied AI, Internal Product Analytics, product managers, and platform teams to define data contracts, APIs, SLAs, observability, and curated analytical datasets. Ensure Data Security, Governance, and Reliability: Implement access controls, lineage, monitoring, and compliance guardrails to support safe model training and repeatable analytics workflows.

About the Role: We are looking for a Senior DevOps Engineer to join our DevOps team at K Health. You will own and evolve the infrastructure underpinning a healthcare AI platform serving patients and enterprise health system partners. This is a high-ownership role: you will architect and operate cloud environments across K Health and its enterprise partners, lead complex infrastructure migrations, drive disaster recovery programs, and help build the next generation of AI-powered operations tooling. You will also mentor junior engineers and collaborate closely with product and engineering teams across the company. This is a hybrid role based in New York City (4 days/week in office) and includes participation in a daytime on-call rotation. What you will do: Own the design, implementation, and evolution of our GKE-based Kubernetes infrastructure across K Health and enterprise partner environments. Build and maintain our Terraform modular infrastructure library, including reusable modules with automated testing, across GCP, Cloudflare, and AWS. Architect, build, and maintain GitLab CI/CD shared pipeline templates used by all engineering teams (build, test, security scanning, deployment). Own and maintain self-hosted infrastructure software running in-cluster, including GitLab, ArgoCD, Langfuse, DependencyTrack, NGINX Ingress, and others. Implement and support security and compliance controls across infrastructure and the software supply chain - secrets management, pipeline secret detection, container scanning, SOC2 and HIPAA. Drive disaster recovery readiness: design failover scenarios, author runbooks, and lead periodic DR tests. Lead development of AI-powered operations tooling and agentic infrastructure. Monitor, troubleshoot, and improve production system reliability; respond to incidents during on-call shifts. Mentor junior DevOps engineers and establish team-wide engineering standards. What we are looking for: 5+ years of experience in DevOps, platform engineering,

About the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last-mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you! About the Role We're looking for an experienced technical operator to lead live testing, deployment, and operational validation of cutting-edge autonomous technologies. This role sits at the intersection of engineering and operations, helping ensure new capabilities are safely deployed, thoroughly evaluated, and translated into actionable engineering feedback. You’re excited about this opportunity because you will… Lead and oversee live testing across transport, deployment, and safety validation. Partner closely with hardware, software, and business operations teams to validate new product capabilities while providing guidance and mentorship to junior team members. Conduct and document complex tests for autonomous technologies, evaluating robot behavior, identifying issues, and validating new features and requirements. Provide actionable technical feedback to engineering teams based on test outcomes. Exercise technical judgment during live testing by evaluating robot behavior, assessing operational risk, distinguishing expected behavior from product defects, and determining when engineering escalation or additional validation is required. Develop and implement testing processes, protocols, and checklists that improve the safety, efficiency, and reliability of new products. Utilize internal tools to analyze logs, investigate issues, document findings, and track issues through resolution. Mentor junior team members in structured debugging and documentation practices. Conduct detailed analyses and generate comprehensive reports that identify trends, summarize findings, and provide strategic recommendations to engineering and operations partners. We’re excited about you because… 2+ years of exper

ROLE SUMMARY We are looking for a Senior Data Scientist to lead complex data science engagements that combine traditional statistical modelling with Generative AI. You will work hands-on with very large datasets across disparate systems and formats, translate ambiguous business problems into rigorous analytical solutions, and present those solutions clearly to C-level stakeholders. This is a delivery-first role with a fast track into technical leadership: alongside your own project work, you will help guide junior data scientists and shape how Lynx builds and ships data science solutions. KEY RESPONSIBILITIES Solution Design & Delivery Design and deliver end-to-end solutions for defined data science problems, combining classical modelling, data transformation, and Generative AI / LLM techniques. Work hands-on with very large datasets across disparate stores and formats, from ingestion and transformation through to modelling and validation. Apply statistical and machine learning methods to business problems such as customer retention, campaign management, and commercial performance optimisation. Client Communication & Leadership Present results and prepare client-ready materials for project stakeholders, including C-level audiences, translating technical work into clear business narratives. Lead smaller data science workstreams, with support from internal leadership and the PMO, including day-to-day guidance for junior team members. Partner with delivery and account teams to scope problems, set realistic timelines, and manage stakeholder expectations. Knowledge Building Create reusable documentation, presentations, and code libraries during projects so future engagements can build on prior work. Participate in internal education, research, and knowledge-sharing initiatives that raise the technical bar across the practice. SKILLS, QUALIFICATIONS AND EXPERIENCE 8+ years of overall experience in data science, with a track record of leading analytic

In the role of Senior Salesforce Developer, you will play a pivotal role within the Business Technology team, providing essential support across the Enterprise. Your responsibilities will involve creating highly secure, scalable, adaptable, and high-performing solutions. Reporting to the Director, you will work closely with product and technology teams to design, develop, test, iterate, and deploy new features, integrate systems, enhance existing features, and offer operational support. Additionally, you will independently conduct code reviews and guide junior team members towards improved design and the adoption of clean, standardized coding practices. WHAT YOU’LL DO: Build solutions in Salesforce.com leveraging Force.com, APEX, Lightning Web Components, Web Services, and APIs. Provide expertise and recommendation on when to use configuration vs. code vs off-the- shelf products. Support cross systems integrations through developing and configuring tools across native Salesforce ecosystem as well as other cloud technologies. Partner with bu siness owners to deliver tailored solutions that support business requirements, create a superlative user experience, and drive tangible business value. Actively engage and share insights in the planning and analysis of requirements for system enhancements, translating requirements into well-architecture solutions that best use the Salesforce platform and products. Analyze Salesforce tech debt, propose design and implement solutions. Function as technical lead: Provide Recommendations on configuration vs code Audit and document existing processes and technical designs, and identify areas for improvement Manage and provide support for other sales tools (e.g. LeanData, Gong and SalesLoft) Distill complex technical solutions into layman’s terms and communicate these in a clear and understandable way to stakeholders Function as Senior team member with the ability to guide and mentor more junior team members as it r

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your Opportunity As a Senior Software Engineer within the Container Fabric (CF) organization, you will be a key driver in evolving New Relic’s global internal platform. We are looking for an operations-heavy engineer with 5–8 years of relevant experience who can leverage open-source and custom tooling to orchestrate and maintain large-scale Kubernetes environments. You will play a "Captain" role—leading critical deliverables and mentoring junior engineers while maintaining the reliability of our global fleet. What You'll Do Architectural Leadership: Drive the design and implementation of internal tools, specifically focusing on Kubernetes Operators and Controllers to automate resource management. Platform Orchestration: Lead complex, large-scale infrastructure shifts. Operational Excellence: Take ownership of incident response, author comprehensive retrospectives, and implement systemic hardening to prevent recurrence using advanced overcommit strategies. This Role Requires Experience: 5–8 years in a DevOps, Site Reliability, or Infrastructure Engineering role. Kubernetes Mastery: Deep internals knowledge of Kubernetes and hands-on experience writing custom operators. Tooling Proficiency: Strong experience building production-grade tools and services, specifically for infrastructure automation. Operations-Heavy Mindset: A proven track record of Day 1/Day 2 operations for a large-scale Kubernetes fleet, handling high-severity incidents, and improving SLA compliance through auto

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. You independently lead the most complex AI deployments Smartsheet undertakes. You own the full engagement lifecycle from technical discovery through production deployment through solutions org handoff. You architect multi-agent solutions, design client-personalized MCP resource packs, and build the Deployment Kits that transform how 200+ solutions consultants and partners operate. You mentor junior FDEs, drive the intelligence loop, and present field findings at weekly Applied AI strategy sessions. You are building a function, not filling a role. What You Will Do Lead complex, multi-system AI deployments end-to-end scope, architect, build, validate, and manage the customer relationship throughout. Own the AI workshop program for your pod, customize modules per customer, lead technical sessions, translate outputs into production requirements, evolve content from field learning. Architect multi-agent solutions selecting the right coordination pattern for each customer’s workflow characteristics and compliance requirements. Design client-specific and industry-specific MCP resource packs that serve personalized intelligence from the server so every connected AI surface gets smarter for that customer automatically. Own Deployment Kit quality for your pod. If a kit is not documented well enough for a solutions consultant with no engineering background to follow, it isn’t done. Lead Solutions Enablement Sprints: transfer AI deployment patterns to solutions consultants and partners with training materials and certification crite

ABOUT THE ROLE Join the Peloton Product Engineering team within our Connected Fitness organization and help build the core software powering the screens of our flagship hardware. In this role, you will develop the primary, member-facing application embedded on every Peloton Bike, Tread, and Row. This is your opportunity to shape the on-equipment software that delivers our best-in-class fitness experiences directly to millions of Members worldwide. YOUR DAILY IMPACT AT PELOTON Build highly engaging, responsive, and scalable customer-facing features from concept to deployment Guide, mentor, and elevate mid-level and junior engineers while optimizing team processes and modernizing engineering solutions Partner closely with Product, UX, and Design teams to evaluate execution feasibility, manage cross-team dependencies, and translate vision into clean code Independently tackle complex engineering tasks, leveraging AI-first coding tools (like Claude Code) and profiling UI, memory, and threading to ensure a flawless user experience YOU BRING TO PELOTON 6+ years of software development experience, including 4+ years of dedicated Android development, backed by a B.S. in Computer Science/Engineering (or equivalent experience). Experience with continuous build integration in an Agile environment, active GitHub projects, or open-source contributions is highly preferred Deep understanding of Kotlin, Java, Android threading, and modern architecture patterns like MVVM and MVI. Familiarity with automation testing frameworks like Espresso is a major plus Strong experience interacting with REST APIs, handling data processing, and evaluating complex engineering trade-offs. Exposure to modern data query languages like gRPC and GraphQL is a distinct advantage Proven ability to manage cross-team coordination, work independently on complex tasks, and turn product and design requirements into seamless, high-performance reality #LI-KN1 #LI-Hybrid The base salary range represents the low and

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: As a senior member of our team, you will play a pivotal role in providing guidance and assistance to our Operation Specialists, ensuring they have the resources and knowledge they need to excel in their roles. Your expertise will be instrumental in resolving complex queries, offering insights, and mentoring junior team members as they navigate their responsibilities. Additionally, you will have the opportunity to take on challenging stretch assignments that push your skills to new heights and contribute to your professional growth. By actively driving process improvement initiatives, you'll have a direct impact on enhancing efficiency and effectiveness within our operations. Your leadership in queue management for the entire pod will be instrumental in ensuring smooth operations and timely resolution of issues. The Difference You Will Make: Strategic Guidance and Support: Provide mentorship and assistance to Operation Specialists, enhancing the quality of service delivery and promoting professional development. Process Optimization: Utilize your expertise to identify opportunities for improvement in workflows and operations, driving efficiency and productivity gains. Proactive Problem-solving: Take a proactive approach to problem-solving, addressing issues promptly and implementing innovative solutions to enhance operational effectiveness. A Typical Day: Luxe Onboarding & Visual Vetting: Along with having in-depth understanding of Luxe workflows, the incumbent will also be required to perform the following additional tasks Work closely with leads to assign daily work, monitoring

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. We are seeking a highly skilled Senior Incident Response Analyst to lead advanced threat detection, investigation, and remediation efforts within our Security Operations program. This role is responsible for handling complex security incidents, guiding junior analysts, improving detection capabilities, and strengthening our overall security posture. The Senior Incident Response Analyst brings deep technical expertise, strong analytical thinking, and a proactive mindset toward defending the enterprise.