Senior Data Reliability Engineer Jobs

Who is Artefact? Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact. With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi. Our Romandie office (Geneva/Lausanne) is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design. Main Responsibilities As a Senior Technical Consultant / Senior AI Engineer , you will lead the design and delivery of impactful AI and data solutions. You’ll combine hands-on engineering with client advisory, guiding multi-disciplinary teams from opportunity framing to production deployment. Own solution architecture & delivery: Define end-to-end architectures (data, ML/LLM, APIs, security), make build/buy decisions, and drive projects from PoC to production with reliability, observability, and cost in mind. Lead complex PoCs & pilots: Scope, prototype, and validate AI/ML use cases (incl. LLMs/GenAI, RAG, fine-tuning, evaluation) and convert successful pilots into scalable products. Advanced programming & modeling: Build, adapt, and evaluate ML/DL/LLM models using Python (PyTorch, TensorFlow, HuggingFace, LangChain/LlamaIndex), including prompt engineering, fine-tuning/LoRA, vector search, and safety/guardrails. Cloud & MLOps/LLMOps: Design and operate solutions on Azure, GCP, or AWS (CI/CD, containers, model serving, feature stores, vector DBs, monitoring, eval pipelines). Client advisory & stakeholder management: Translate business goals into technical roadmaps, present to senior stakeholders, manage risks and trade-offs, and ensure measurable business impact. Quality, se

DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides in-depth context of AI and data assets with best-in-class scalability and extensibility. The company's enterprise SaaS offering, DataHub Cloud, delivers a fully managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance, enabling AI & data to work together and bring order to data chaos. Senior Product Manager, Observability & Data Quality As a Senior Product Manager, for Observability & Data Quality, at DataHub, you will work cross-functionally to help guide products from ideation to launch by connecting the technical needs of users and the business needs of our company. You will help define the vision, goals, and strategy we pursue in concert with engineers, designers, sales, and partners that move the practice of analytics engineering forward. We are pursuing an ambitious AI strategy, focused on building a unified Context Platform that solves context fragmentation, maintenance, validation, and accessibility challenges. In this role, you can expect to: Define the vision, goals, strategy, tactics, and roadmap for our suite of products Study, research, and understand the data ecosystem, with a specific focus on user requirements, market potential, and competitive landscape Serve as the accountable owner for delivering measurable business and customer outcomes; working closely with designers to create intuitive, elegant user experiences for technical and non-technical personas Create tight feedback loops with customers who are depending on DataHub to run their data environments so that the product evolves toward the needs of these stakeh

About the job Own the reliability of AI compute hardware where lab discovery becomes data centre reality. Graphcore is building the hardware and systems infrastructure needed for the next generation of AI breakthroughs. This role helps prove those platforms work when complexity, scale and pressure increase. You will lead advanced operational, diagnostic and engineering support across lab and data centre environments. Your work will improve hardware bring-up, validation and troubleshooting for AI compute platforms. You will diagnose failures across server blades, racks, power systems, thermal behaviour, network configuration and BIOS/BMC issues. You will turn hard problems into clear root cause analysis, corrective action and better operating practice. This is hands-on engineering with visible impact. You will support new platforms from early bring-up through deployment, helping Graphcore move faster with confidence. The team and culture You will work with Systems Engineering, Hardware Engineering, server engineering, firmware, platform architects and data centre operations. Problems are solved close to the hardware, with clear evidence and direct ownership. The team moves quickly during bring-up and validation cycles. Engineers are expected to act fast, take responsibility and speak up when something needs attention. Decisions are shaped by data, system behaviour and practical engineering judgement. You will guide others, improve documentation and help raise the standard of hardware diagnostics. What we're looking for · Strong knowledge of server hardware architectures and board-level debugging · Experience isolating failures using system logs, telemetry, power data and thermal metrics · Hands-on experience with HPC systems, AI compute platforms or rack-scale infrastructure · Ability to lead structured root cause analysis and propose practical corrective actions · Confidence working across engineering, platform and data centre teams · Clear written and verbal

ABOUT THE TEAM The Systems Engineering team in Rubrik's Developer Platform organization owns the reliability of Rubrik Cloud Data Management (CDM) and RSC-P products. Our customers trust Rubrik to recover their data on the worst day of their year. We make sure the software holds up under that pressure, at scale, over months of continuous operation, and in the face of failure. We build the infrastructure and pipelines that let product teams validate stress, scale, longevity and resilience, and we own the call on whether a release is reliable enough to ship. We work with component teams, product management and release managers to build reliability early, rather than inspect for it at the end. What we own Release reliability certification. We own the reliability decision behind every CDM and RSC-P release, based on evidence from the platforms and pipelines we build. Stress, scale and chaos platforms. We build the infrastructure and pipelines for these validations, and give product teams self-service tools so they can validate their own work without waiting on us. Extreme-scale simulation. We build simulators that reproduce very large customer environments cost-efficiently. Long-running, customer-like environments. We operate and evolve clusters that run for months and mirror real customer deployments, so we find longevity problems before customers do. AI-driven triage and reliability. We build triage agents that investigate bugs, incidents and alerts, and we apply AI across our own workflows to speed up detection, diagnosis and certification. WHAT YOU'LL DO As Senior Manager of Systems Engineering, you will own how Rubrik proves its products are reliable before customers depend on them. Own release reliability. Be accountable for the reliability call behind every CDM release, and make ship-or-hold decisions with release managers and component leaders. Drive the qualification roadmap. Set one roadmap for release workflows and fast build qualification, improving both qua

The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers. Spotify is looking for a Senior Software Engineer to join the Authorization team within Platform. Our team builds and operates the authorization and permissioning systems that enable creators and their teams to securely access and manage their presence across Spotify. What began by supporting Spotify for Artists has grown into foundational capabilities used across Spotify, including Music, Podcasts, and Audiobooks. This is a backend-focused role working on systems that sit on a critical path for Spotify's creator ecosystem. You'll help us evolve these systems as they grow in scale and complexity, bringing strong backend engineering expertise while collaborating across product, frontend, and data when needed. What You'll Do: Design, build, deploy, and operate scalable backend services that power authorization, permissions, and team management across Spotify. Take ownership of critical systems that enable creators, teams, agents, licensors, and other partners to securely access and manage the right content and capabilities. Evolve our backend architecture to support continued growth in users, use cases, and Spotify products while maintaining high standards for reliability, performance, and security. Improve the systems and workflows that enable creators to gain access to their content, profiles, and teams. Make thoughtful technical decisions and trade-offs, balancing long-term architecture with solutions that meet current product and business needs.</

About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the role We are seeking skilled and motivated Senior Software Engineer, Backend Development(BotBonnie) to join our dynamic team. As a Senior Backend Development (BotBonnie), you will play a crucial role in designing, developing, and maintaining the server-side applications that power our web. Responsibilities Develop efficient and scalable backend services using Node.js, Express.js, and other relevant technologies. Collaborate with cross-functional teams, including frontend developers, product managers, and designers, to design and implement robust APIs and web services. Ensure the performance, security, and reliability of server-side applications, identifying and resolving bottlenecks and bugs as necessary. Integrate with databases and data storage solutions, such as MongoDB, MySQL, Redis, RedShift or other NoSQL databases. Implement unit tests and conduct code reviews to maintain high code quality and foster a collaborative development environment. Participate in architectural discussions and contribute innovative ideas to improve system architecture and performance. Stay up-to-date with the latest trends and advancements in Node.js and backend technologies to propose suitable improvements to existing systems. Troubleshoot and debug production issues, providing timely resolutions and minimizing downtime. Optimize applications for maximum speed and scalability, considering factors like caching, load balancing, and distributed systems. Continuously improve development processes and best practices to ensure efficient and reliab

Karya is building the data infrastructure for the next generation of AI. We work across languages and real-world contexts to create high-quality datasets and evaluations, while creating meaningful digital work for underserved communities. We’re looking for a Senior Backend Engineer to take ownership of important parts of our platform and help shape the next generation of Karya’s engineering infrastructure. This is a role for someone who enjoys being given a difficult problem and figuring out how to solve it. You’ll work closely with the Head of Engineering and have significant autonomy over the systems you own, from architecture and implementation through production and iteration. What You'll Do Much of the infrastructure we build has constraints that are uncommon in conventional software systems. Karya operates across multiple geographies, with different requirements, environments, and network conditions. Our systems need to work reliably even when connectivity is limited or intermittent, while still supporting a centralized platform that can scale across countries without becoming a collection of country-specific systems. You’ll work on problems such as: Building backend infrastructure that can operate reliably across very different environments and geographies. Designing systems that cannot always assume a reliable network, including resilient data transfer and eventual synchronization. Evolving our existing architecture as the platform grows, making the right trade-offs between simplicity, performance, reliability, and scale. Building infrastructure and developer tooling that increases the leverage of the engineering team. Solving problems across APIs, data systems, distributed systems, integrations, performance, security, and reliability. The interesting part is that there often isn't an established pattern to follow. You’ll need to understand the constraints, make good technical decisions, and build pragmatic solutions. What You'll own You’ll own m

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 The Hyperscale Line of Business at Pure Storage builds and ships exabyte-scale infrastructure with an emphasis on speed, reliability, and operational excellence. As a Senior Software Engineer you will operate with a 90% hands-on coding focus. You will work at the heart of Engineering Acceleration: building and productizing the shared tools that make Hyperscale engineering teams faster and more effective. In this role, you'll design and build Python and C++ tooling for high-toil developer workflows, use AI-assisted development to iterate quickly as requirements evolve, and turn promising prototypes into supported tools that engineering teams rely on daily. WHAT YOU'LL DO Developer Experience & Tooling (~50% Focus) Build shared tools for high-toil engineering workflows (triage, rebase/payload, release), taking them from prototype to supported, documented, and reliable. Use AI tooling to prototype and iterate rapidly, staying responsive to changing requirements. Use engineering metrics to diagnose workflow friction and directly improve developer velocity across the org. Design & Reliability (~40% Focus) Strong design and architecture judgment so fast-moving tools stay maintainable, correct, and safe to depend on. Write robust software and implement clean interfaces (REST, gRPC, CLI) for the tools and services engineers use daily. Partner with Tech Leads and Managers to shape technical roadmaps for dev tooling

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Data and Storage Services team is responsible for Affirm's data infrastructure across OLTP and OLAP systems, spanning critical online checkout databases, batch orchestration, streaming infrastructure, event-driven frameworks, BI, analytics tooling, large-scale data platforms, and agentic data tools such as semantic layers and internal platform data applications. Our mission is to provide trustworthy, intuitive, and cost-efficient solutions for Affirmers to secure, store, analyze, and transform data at exceptional scale. This role focuses on the platform and applications layer of Affirm's data infrastructure — building, operating, and extending systems that enable teams across Affirm to work with data at scale. You will be a core contributor to platform reliability, self-service capabilities, and the roadmap toward agentic data tooling and semantic layer infrastructure. What You'll Do Build and operate core platform capabilities: Design and implement platform features that enable engineers across Affirm to build, deploy, and operate data applications at scale — covering automated provisioning, deploy pipelines, access control, service lifecycle management, and reliability tooling. Develop integrations: Build and maintain integrations between the platform and internal systems — CI/CD pipelines, identity and secrets management, external APIs, and event-driven hooks — so that application teams have secure, reliable, and self-service access to the tools they need. Strengthen data access and governance: Design and operate secure data access patterns across the platform's analytical infrastructure, including RBAC, managed-access schemas, dynamic data masking, secure views, and cross-database grants that make platform data trustworthy without creating operational bottlenecks. Automate toil and

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Data and Storage Services team is responsible for Affirm's data infrastructure across OLTP and OLAP systems, spanning critical online checkout databases, batch orchestration, streaming infrastructure, event-driven frameworks, BI, analytics tooling, large-scale data platforms, and agentic data tools such as semantic layers and internal platform data applications. Our mission is to provide trustworthy, intuitive, and cost-efficient solutions for Affirmers to secure, store, analyze, and transform data at exceptional scale. This role focuses on the platform and applications layer of Affirm's data infrastructure — building, operating, and extending systems that enable teams across Affirm to work with data at scale. You will be a core contributor to platform reliability, self-service capabilities, and the roadmap toward agentic data tooling and semantic layer infrastructure. What You'll Do Build and operate core platform capabilities: Design and implement platform features that enable engineers across Affirm to build, deploy, and operate data applications at scale — covering automated provisioning, deploy pipelines, access control, service lifecycle management, and reliability tooling. Develop integrations: Build and maintain integrations between the platform and internal systems — CI/CD pipelines, identity and secrets management, external APIs, and event-driven hooks — so that application teams have secure, reliable, and self-service access to the tools they need. Strengthen data access and governance: Design and operate secure data access patterns across the platform's analytical infrastructure, including RBAC, managed-access schemas, dynamic data masking, secure views, and cross-database grants that make platform data trustworthy without creating operational bottlenecks. Automate toil and

Senior Software Engineer - Streaming Platform Client Data streams are mission-critical at Datadog, powering near real-time communication across the vast majority of our services. Our Streaming Platform group builds the core infrastructure and abstractions that ensure Datadog remains a trusted partner for engineers worldwide. See our blog post . The Streaming Platform Client team sits at the heart of this ecosystem. We own the Rust client library (producers and consumers) with language bindings for Java, Go, and Python. We focus on building intuitive APIs and abstractions that make a powerful distributed system easy to adopt and operate for the hundreds of internal users of our library. Our library runs on critical data paths that handle hundreds of millions of messages per second making performance, observability, and reliability paramount. We also develop and operate the service that bridges the clients fleet with the platform's control plane, handling complex balancing, scaling, and static stability challenges. We are seeking a Senior Software Engineer to help us evolve these features. You will collaborate directly with our users, tackle performance-critical code, and solve complex distributed systems challenges across the control plane, client libraries, and data plane. 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: Work within a distributed, high-impact team spanning Europe and the US, building critical technologies that power data pipelines for dozens of internal teams and hundreds of services. Architect and implement resilient interactions between our client libraries and the control plane. Optimize our high-throughput, low-level streaming library to push the boundaries of performance and efficiency. Champion the developer experience by providing

Senior Software Engineer - Streaming Platform Client Data streams are mission-critical at Datadog, powering near real-time communication across the vast majority of our services. Our Streaming Platform group builds the core infrastructure and abstractions that ensure Datadog remains a trusted partner for engineers worldwide. See our blog post . The Streaming Platform Client team sits at the heart of this ecosystem. We own the Rust client library (producers and consumers) with language bindings for Java, Go, and Python. We focus on building intuitive APIs and abstractions that make a powerful distributed system easy to adopt and operate for the hundreds of internal users of our library. Our library runs on critical data paths that handle hundreds of millions of messages per second making performance, observability, and reliability paramount. We also develop and operate the service that bridges the clients fleet with the platform's control plane, handling complex balancing, scaling, and static stability challenges. We are seeking a Senior Software Engineer to help us evolve these features. You will collaborate directly with our users, tackle performance-critical code, and solve complex distributed systems challenges across the control plane, client libraries, and data plane. 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: Work within a distributed, high-impact team spanning Europe and the US, building critical technologies that power data pipelines for dozens of internal teams and hundreds of services. Architect and implement resilient interactions between our client libraries and the control plane. Optimize our high-throughput, low-level streaming library to push the boundaries of performance and efficiency. Champion the developer experience by pro

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. About the General Agents Team The General Agents team, part of Scale’s Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art reasoning and agentic capabilities into reliable, production-grade systems that drive real economic value. Our agents are scalable systems built around recurring enterprise problem domains, with a strong emphasis on generalization, extensibility, and deployment across many customers. About the Role As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you’ll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent lifecycle—from model and system design to evaluation, deployment, and iteration—bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments. You will: Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases. Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints. Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings. Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs. Productionize frontier agent techniques (e.g.,

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 The Hyperscale Line of Business builds and ships products to hyperscale customers at exabyte scale, with an emphasis on speed, reliability, and operational excellence. The Build Environments and Tools team owns developer productivity infrastructure related to build orchestration, build systems, and containerized build environments that engineers rely on daily to build and test software. We're looking for a Senior Software Engineer to join this team and help build fast, reliable, and reproducible build infrastructure at scale. You'll work hands-on with build orchestration, build-system internals, and containerized build environments — including large-scale C/C++ builds — while partnering with tech leads and engineers across the Hyperscale org to remove friction from everyday developer workflows. WHAT YOU'LL DO Design, develop, and maintain build orchestration systems and tooling Drive improvements to build speed, reliability, reproducibility, debuggability, and ease of use across local development and CI workflows Own and evolve containerized build environments, ensuring consistent, isolated, and reproducible build images Work on large-scale C/C++ build challenges, including dependency pruning, and static/dynamic linking tradeoffs Diagnose and resolve build-graph correctness issues, flaky builds, and incremental-build regressions Partner with tech leads and the engineering manager to shape the team's technical road

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 Be part of the Engineering team that designs, develops, and maintains innovative features for our Object product on FlashBlade and FlashArray platforms. You’ll take ownership of these features throughout their lifecycle, from concept to implementation, ensuring they meet evolving requirements, incorporate technical updates, and maintain high standards of quality, reliability, and compliance. You’ll work within the CPBU group, developing and maintaining various data transmission protocols and handles the internal storage of the data. Collaboration is at the heart of what we do, you’ll partner closely with teams across engineering, product development, account management, and other key stakeholders to deliver exceptional outcomes. Together, we’re shaping the future of the all-flash array market and redefining what’s possible in unified file and object storage. WHAT YOU’LL DO Design and implement innovative algorithms and technologies for high-performance, highly reliable systems (aiming for six nines of availability). Take ownership of solutions end-to-end: from concept through delivery of new features or products. Analyze complex technical challenges and develop effective, thoughtful solutions. Collaborate with a talented and supportive team that values learning and shared success. Contribute to customer satisfaction by delivering reliable, high-quality systems. Continuously grow your technical skills and domain ex