Senior Data Reliability Engineer Jobs

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. We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry. 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 Lead the visionary development of the Direct Flash Module (DFM) firmware, the core innovation enabling the world’s fastest and most reliable all-flash storage. You will own the strategic firmware roadmap and delivery, driving the integration of cutting-edge NAND and SSD technologies to maintain our competitive edge in enterprise storage. This is a high-impact leadership role requiring deep technical expertise and strong collaboration with Hardware, Purity Software, and NAND Engineering teams. WHAT YOU'LL DO Define and execute the DFM firmware strategy for DirectFlash™ SSD Modules, owning the long-term product and feature roadmap and ensuring alignment with FlashArray business objectives for performance, cost, and reliability. Lead design and delivery of high-performance firmware with a strong emphasis on PCIe functionality (initialization, configuration, runtime management) and sophisticated NAND media management policies and low-level hardware interfaces, maintaining DFM simplicity and leadership in advanced NAND adopti

About Pinecone Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io . About the Team and Role: We are hiring a senior/staff software engineer to help design and build core components of our next-generation knowledge retrieval system built for the AI era – search and retrieval infrastructure that powers high-quality, scalable, and enterprise-grade agentic systems. You’ll build the framework that allows our customers to connect knowledge–synthesized from structured and unstructured data–to modern LLM-powered applications, leveraging the world’s best-in-class vector DB supporting semantic search and hybrid retrieval. This role is ideal for someone who loves backend system architecture, distributed systems, and applied AI infrastructure. It is a high impact role with significant ownership across architecture, performance, and system reliability. Responsibilities: Design and build scalable platform components leveraging advanced retrieval via query planning, semantic and hybrid search, metadata-aware search, and LLM generation Design and build optimized indexing pipelines for structured and unstructured data Build backend services for semantic and hybrid retrieval, knowledge graph construction, and retrieval orchestration Improve retrieval quality through evaluation and observability frameworks Design APIs for internal and external user and agentic consumers Optimize latency, throughput and cost across large-scale inference and retrieval workloads Drive technical direction for reliability and security What You’ll Bring to the Table: To thrive in this role, you don't need to check every single box, but you should be deeply passionate about how to turn data into knowledge. Systems Expertise

About Pinecone Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io . About the Team and Role: We are hiring a senior/staff software engineer to help design and build core components of our next-generation knowledge retrieval system built for the AI era – search and retrieval infrastructure that powers high-quality, scalable, and enterprise-grade agentic systems. You’ll build the framework that allows our customers to connect knowledge–synthesized from structured and unstructured data–to modern LLM-powered applications, leveraging the world’s best-in-class vector DB supporting semantic search and hybrid retrieval. This role is ideal for someone who loves backend system architecture, distributed systems, and applied AI infrastructure. It is a high impact role with significant ownership across architecture, performance, and system reliability. Responsibilities: Design and build scalable platform components leveraging advanced retrieval via query planning, semantic and hybrid search, metadata-aware search, and LLM generation Design and build optimized indexing pipelines for structured and unstructured data Build backend services for semantic and hybrid retrieval, knowledge graph construction, and retrieval orchestration Improve retrieval quality through evaluation and observability frameworks Design APIs for internal and external user and agentic consumers Optimize latency, throughput and cost across large-scale inference and retrieval workloads Drive technical direction for reliability and security What You’ll Bring to the Table: To thrive in this role, you don't need to check every single box, but you should be deeply passionate about how to turn data into knowledge. Systems Expertise

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. The Opportunity We are looking for a Platform Engineer for the Container Services team in Chicago. This team owns and operates Adyen's core container orchestration infrastructure, the foundation that keeps our global payment platform running. In this role, you will design, build, and operate critical infrastructure systems, drive automation and reliability improvements, and help scale Adyen's platform as we continue to grow globally. What You'll Do Build and operate core infrastructure: Design, implement, and maintain container orchestration (Kubernetes) and supporting infrastructure across our global private cloud. Drive automation and reduce toil: Develop tooling and automation that improves provisioning, configuration management, and operational workflows, enabling self-service for engineering teams and reducing manual effort. Ensure reliability at scale: Own the availability and performance of critical platform systems, participate in on-call rotations, and drive incident response and postmortem processes that continuously improve our operational posture. Collaborate across teams and time zones: Work closely with platform engineers in Chicago, contributing to a global team that operates 24/7 infrastructure across multiple regions and datacenters. Shape platform evolution: Contribute to architectural decisions, evaluate new

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. About the Team The Payment Gateways team (used to be known as IPP Payments Backend ) is a critical pillar of Adyen’s Core Payments solution. The Core Payments group handles the foundational business logic, diverse payment flows, and global features that empower Adyen’s merchants worldwide. As part of the Payment Gateways team, you will design and build the infrastructure powering Adyen’s in-store payment experience . This means engineering systems capable of handling massive, simultaneous global traffic while maintaining rock-solid reliability for thousands of physical terminals, mobile devices, and merchant hosts. What You Will Do As a Backend Engineer (Java) , you will orchestrate complex payment flows by integrating multiple Adyen systems and defining the unified architecture for our next-generation payment features. Design & Deliver: Build, test, and deploy high-volume, low-latency Java applications that form the backbone of our global payment systems. Architect for Scale: Collaborate across Data and Platform engineering teams to design highly resilient, scalable services with reliability at their core. Own the Technical Lifecycle: Drive engineering best practices, contribute to scalable architecture designs, and actively participate in product roadmap discussions. Data-Driven Optimization: Define, implement, and monitor per

Zoox is looking for an experienced software engineer to work on large-scale simulation pipelines used to validate the behavior of the Zoox self-driving vehicle. These are data and GPU intensive workloads built on Ray.io and Kubernetes. Given the massive scale and criticality of these pipelines, ensuring their reliability and efficiency has a significant impact on the company's ability to safely and quickly iterate on autonomy development. We are a small, scrappy team within the larger Autonomy organization. Although this role primarily involves off-vehicle pipelines, you will work closely with engineers developing the on-vehicle algorithms and models in our autonomy stack. We stay close to the end users - autonomy engineers - and think about the end to end use case for these validation pipelines. This is a hands-on role with a high degree of independence and ownership. You will be expected to contribute towards the framework’s architecture, reliability, efficiency, and grow its capabilities to support new use cases. You should have a track record of keeping production systems running with high availability. Experience with robotics or autonomous systems is not required but an understanding of the robotic data lifecycle is preferred. In this role, you will: Improve the cost efficiency, reliability, and performance of our validation and simulation pipelines Create production-grade APIs, SDKs, and tools to enable a varied set of validations of autonomous behaviors Improve the ML training pipelines supporting the autonomous behavior org Qualifications Bachelor’s degree in Computer Science or related field and 8+ years of industry experience Experience optimizing large-scale distributed systems for cost and efficiency Experience with AWS or similar providers Proficiency with Python and familiarity with C++ Bonus Qu

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. The Customer Experience Engineering Team builds the internal and external technologies that scale Snowflake’s global support and sales organizations. We empower our technical experts by providing the advanced tools they need to resolve complex issues and drive customer success. Our team specializes in software engineering, data-driven decisions, ML, and LLM-based solutions . We build production-grade systems to automate manual processes and augment the capabilities of our technical staff. Our current focus includes: LLMs : Developing and deploying LLM and agent-based architectures for streamlining troubleshooting Scalable Evaluations : Implementing large-scale evaluations to ensure the quality and reliability of our internal and external tools Process Automation : Designing intelligent workflows that eliminate bottlenecks and allow our experts to focus on the most technical aspects of the Snowflake platform Incident discovery: using embeddings, LLMs, clustering, and agents to detect potential widespread issues more quickly Now, the team is growing, and we are looking for a Software Engineer to join us. In this role, you will work closely with the state of the art LLM models, fine-tune them, develop agents, apply various clusterings, summarizations, embeddings, and so on. Ev

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Senior Implementation Engineer As a Senior Implementation Engineer at Adyen, you will lead the design and delivery of mission-critical payment integrations for some of the world’s largest global companies. You will influence how global enterprises design and operate their payment infrastructure at scale. Your work will directly impact the reliability, performance, and scalability of payment flows used by millions of end customers worldwide. This role is focused on solving complex, high-scale technical challenges. You will also shape technical direction, influence product evolution, and mentor implementers across the organization. This position is based in San Francisco, and the ideal candidate is both consultative and technical. You will design and scale highly resilient, high-performance integration architectures while helping raise the technical bar across the implementation organization. What you’ll do: Deliver complex, multi-region enterprise integration projects Design scalable, high-availability architectures for global merchants handling large transaction volumes Define and ensure technical standards across implementation engineering teams Act as a strategic technical advisor in both pre-sales and delivery phases, shaping solutions alongside sales and senior merchant stakeholders Shape industry standards and the broader ecosy

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Why you should join the Adyen Storage Team This team is part of our Platform Engineering Solution. The purpose of Platform Engineering is to enable Adyen engineers to autonomously build and support secure, scalable and reliable applications with high speed and quality through a common technology ecosystem. As a storage engineer of our Storage team in Chicago, you will be responsible for designing, implementing, managing, and maintaining data storage systems and solutions.This role involves the end-to-end management of our organization's data storage infrastructure. This includes strategic design for scalability, hands-on implementation and integration, continuous performance monitoring, capacity planning, security, and troubleshooting. It also requires proactive maintenance with updates, backups, disaster recovery, and planning for future growth by evaluating and recommending new technologies for data availability, reliability, and efficiency. Sounds exciting? Keep reading! What You’ll Do: Design and deploy storage infrastructure (SAN, NAS, DAS, Object Storage) in accordance with organizational needs. Monitor and maintain storage systems to guarantee optimal performance, availability, and reliability. Perform capacity planning and forecasting for future storage needs. Develop and implement strategies for backup, replication, and dis

(P-1174) At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Networking Infrastructure is a core part of the platform that powers all our data and AI products. The platform also powers key enterprise security features used by customers across all our products to build connectivity solutions to cloud resources and prevent data exfiltration. We are seeking an experienced Sr. Staff Software Engineer with deep networking expertise to help shape the future of Databricks’ Networking Infrastructure . As one of the early members of the rapidly growing Bangalore site, you will play a critical role in defining the technical vision and architecture for next-generation network connectivity & observability services that will power & manage millions of VMs across multiple clouds . In this role, you will own and drive the design of large-scale connectivity platforms that form the backbone between Databricks’ control plane and compute plane . These platforms are foundational to improving the scalability, reliability, and efficiency of our compute infrastructure, while enabling more intelligent and cost-effective use of cloud resources. You will operate at an org-wide level , setting technical direction, leading complex cross-team initiatives, and mentoring senior engineers. You’ll work closely with product management, operations, and partner engineering teams to translate long-term business goals into durable, extensible networking systems . This role requires both hands-on technical leadership and the ability to influence architecture and execution across teams. This is a unique opportunity for a senior technical leader who enjoys working in ambigu

P-1443 At Databricks, we’re passionate about enabling data teams to solve the world’s toughest problems — from accelerating medical breakthroughs to building the next generation of intelligent products. We do this by creating the world’s best Data Intelligence Platform , empowering customers to turn massive data into deep, actionable insights. Founded by engineers and driven by innovation, we’re obsessed with designing intuitive, high-performance user experiences that make complex data exploration simple and approachable. As a Senior Frontend Engineer focused on Dashboards , you’ll build intuitive and scalable end-to-end experiences that help users create, explore, and share insights from data. You’ll work across the frontend, partnering with designers, product managers, and engineers to develop the next generation of dashboards, interactivity, and analytical workflows within Databricks. What You’ll Do Design and build intuitive, high-performance experiences for creating and editing dashboards, as well as for authoring the data behind them, including SQL datasets, custom calculations, and semantic modeling. Partner closely with design and product to translate complex analytical concepts into polished, intuitive, and efficient dashboard experiences. Drive innovation in how Databricks users interact with data, enabling seamless and responsive exploration at scale. Own frontend development for core dashboard workflows, with a focus on usability, performance, accessibility, and reliability. Help shape the architecture, abstractions, and platform foundations that support a broad range of dashboarding and analytical use cases. Collaborate with backend engineers and adjacent teams to define APIs, data models, and contracts that power interactive and scalable dashboard experiences. What We Look For 5+ years of professional software engineering experience, with strong experience building both frontend and backend systems. Expertise in modern frontend development with HTML, C

P-78 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems, from advancing AI research to powering next-generation applications. We do this by building and operating the world’s best data and AI infrastructure platform. Founded by engineers and driven by customer obsession, we embrace the hardest technical challenges, whether it’s scaling distributed systems across multiple clouds or delivering reliable, low-latency communication between thousands of services. And we’re only getting started. As a Senior Software Engineer on the Application Traffic team , you will design and build the systems that power Databricks’ service-to-service communication across thousands of clusters in a multi-cloud environment. You will also help create abstractions that hide networking complexity from product teams, making connectivity, discovery, and reliability seamless by default. The impact you’ll have: You’ll work across three key areas that define Databricks’ networking stack: Ingress Control Plane : Build the control plane for Databricks’ global ingress layer. Enable programming of API gateways with static and dynamic endpoints, simplify service onboarding, and make it easy to expose APIs securely across clouds. Service-to-Service Communication : Design scalable mechanisms for service discovery and load balancing across thousands of clusters. Provide networking abstractions so product teams don’t need to worry about underlying connectivity details. Overload Protection : Build intelligent rate limiting and admission control systems to protect critical services under high load. Ensure reliability and predictable performance for both customer-facing and internal workloads. What we look for: BS (or higher) in Computer Science or related field 5+ years of experience designing and building large-scale distributed systems Strong proficiency in one or more languages such as Java, Scala, Go, or C++ Experience with service-oriented architectures an

P-1415 Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse ( CIDR 2021 paper ), open platforms that unify data warehousing and advanced analytics. This new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support. To achieve this vision, Databricks is building the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance. Yet we will retain the expressiveness and robustness of general purpose systems such as Apache Spark™ to support diverse workloads ranging from ETL to data science. You will be part of this multi-year journey. As part of this team, you will design these next-generation systems that leapfrog state-of-the-art within the following areas: Query compilation and optimization Distributed query execution and scheduling Vectorized execution engine Data security Resource management Transaction coordination Efficient storage structures (encodings, indexes) Automatic physical data optimization The responsibilities you will have: Drive requirements clarity and design decisions for ambiguous problems Produce technical design documents and project plans Develop new features Mentor more junior engineers Test and rollout to production, monitoring. What we look for: A passion for database systems, storage systems, distributed systems, language design, or performance optimization Are comfortable working towards a multi-year vision with incremental deliverables Be customer-oriented and focused on having an impact 5+ years of experience working in a related system Optional: PhD in databases or distributed systems About Dat

NVIDIA is seeking a senior systems software engineer to help engineering teams run demanding build, simulation, and validation workloads efficiently and reliably. Our Workload Systems Engineering team connects customer workflows with the infrastructure that performs them. We develop self-service mechanisms and clear diagnostics, investigate performance and reliability across system boundaries, and deliver measured infrastructure improvements with the teams that own the underlying components. Your responsibilities include enabling application configuration, remote execution, workers, hosts, GPU and CPU resources, storage, data paths, and on-target systems. The position requires direct system evaluation: diagnosing causes of slow or failing workloads, trying alternatives in representative scenarios, applying improvements with others, and verifying customer advantages. What you'll be doing: Build shared self-service and validation mechanisms that let engineering teams configure and use supported infrastructure workflows with less manual assistance. Give customers and on-call teams useful diagnostic views across application, submission, remote-execution, and host or target layers so they can identify where failures and slowdowns originate. Set performance and reliability benchmarks for representative workloads. Apply profiling, metrics, traces, and controlled experiments to pinpoint the changes that make a difference. Evaluate and improve compute and GPU selection, scheduling and placement, concurrency, worker and runner configuration, resource sharing, caching, and input/output paths. Make retry causes, recovery outcomes, and wasted execution capacity visible. Work with component owners to eliminate recurring failures and unnecessary re-execution. Implement and validate infrastructure-level changes with application, build and CI, remote-execution, and infrastructure teams. Measure

Job Requisition ID # 26WD101503 Position Overview As a Senior Software Engineer supporting Autodesk’s Data Experience organization, you will design, develop, and maintain secure, reliable backend services and APIs that connect Autodesk applications, internal platforms, and external services. This hands-on individual contributor role owns assigned services and features from requirements and design through testing, deployment, and production support. You will collaborate with engineering, product, and cross-functional partners to deliver scalable integrations, contribute to technical decisions within the team, and mentor other engineers while applying established architecture and engineering standards. Responsibilities Own the delivery of assigned backend services and API features, translating business and technical requirements into designs, implementation plans, and incremental releases Design, develop, and maintain APIs and backend services using JavaScript, TypeScript, Node.js, and AWS, following established architectural patterns and security practices Integrate internal applications, enterprise systems, and third-party services to enable reliable data exchange Evaluate design trade-offs and collaborate with principal engineers, architects, and peers on solutions that balance scalability, reliability, performance, and maintainability Develop automated unit and integration tests, participate in design and code reviews, and document API contracts, technical decisions, and operational procedures Maintain and improve CI/CD pipelines to support repeatable builds, automated te