Senior Data Reliability Engineer Jobs

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in memory and storage innovation, accelerating the transformation of information into intelligence. About the Role Join Micron’s STPG Product Engineering team where you will apply advanced analytics, machine learning, and agentic AI to solve complex NAND product engineering and manufacturing challenges. This role focuses on developing data‑driven and AI‑enabled solutions that improve yield, reliability, defectivity, and test time across the NAND product lifecycle—from New Product Introduction (NPI) to High‑Volume Manufacturing (HVM). You will work closely with Product Engineering, Fab, Technology Development, Test, Quality, and System teams to deploy scalable AI solutions into real production workflows. In addition, you will play a key role in enabling and mentoring Citizen Data Scientists (CDS) within Product Engineering, strengthening the organization’s capability to apply machine learning and advanced analytics for domain‑specific problem solving. Key Responsibilities: Machine Learning & Advanced Analytics Development Develop and deploy predictive and diagnost

This is a core backend software engineering role (70% SWE / 30% Data) within our Mapping organization. You will focus primarily on building high-throughput services, distributed system architecture, and APIs, while leveraging large-scale spatial data to power Lyft's routing and mapping products. Note: This position focuses on backend service architecture and platform scalability rather than traditional ETL, BI, or data modeling pipelines. 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. As a Senior Software Engineer, Data on the Mapping team, you will collaborate with our world-class team of engineers, product managers, and scientists to grow and improve the quality of recommended routes and accuracy of our travel time estimations. You will lead the architecture and long-term technical direction of our offline experimentation tooling and route simulation services — the systems that let Lyft test routing changes safely before they reach production. You'll also build scalable data pipelines for experimentation, analytics, and machine learning models, along with the data governance and observability systems that keep them trustworthy. Your work will enable integration with partner teams and allow stakeholders across Engineering, Data Science, and Product to make data-informed decisions that directly impact Lyft’s growth and profitability. Our technology stack is based on the latest technologies such as AWS, Databricks, Kubernetes and Airflow. You will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on projects that directly impact millions of riders and drivers. Responsibilities Own core data pipelines end-to-end, building deep subject matter expertise in the systems you manage and defining/managing SLAs for pipelines, services, and datasets to ensure reliability at scale Serv

Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values . This position is based out of India (Hyderabad). Who We Need Truveta is rapidly building a talented and diverse engineering team to solve complex healthcare and technology challenges. We are seeking a Senior Software Engineer with deep backend services engineering experience and a proven track record of building reliable, scalable, cloud-native systems. This role is ideal for an experienced engineer who can design and deliver backend APIs, distributed services, data-driven applications, and platform capabilities using Microsoft Azure and .NET technologies. You will work closely with product managers, architects, security teams, and other engineers to build services that power Truveta’s healthcare data platform. As a senior engineer, you will also help shape technical direction, drive engineering best practices, mentor other engineers, and contribute to the long-term reliability, scalability, and maintainability of Truveta’s services. This Opportunity Join the founding team of the Truveta India Development Center (IDC) and play a pivotal role in shaping its future. As one of the initial members, you'll help build and scale a high-impact organization while contributing to products and platforms that advance healthcare through data and AI. This is a unique opportunity to influence both the technical direction and the culture of a growing global engineering hub. Patients, doctors, and medical researchers deserve the same cutting-edge technological inn

About the job Explore how a next-generation AI architecture behaves from rack scale to data centre scale. As a Senior Systems Engineer, you will investigate a novel AI computing architecture under demanding real-world workloads. You will work on problems where answers aren't readily known, turning curiosity into measurable evidence. You will design experiments, benchmark representative AI workloads and explore how hardware components and software interact at scale. When behaviour is unexpected, you will turn this into new measurements. Your work will help infrastructure engineers, architects and application specialists understand system behaviour, performance, scalability and reliability across the stack. You will also help develop tooling and automation to collect, analyse and visualise system metrics. You do not need to be an AI expert. You will need strong judgement, curiosity and a clear preference for evidence over opinion. You will love this role if you are someone who takes initiative, questions assumptions and enjoys working in areas where the answers are not yet known. The team and culture The System QA team is distributed across multiple locations. We work hard to stay connected and collaborate closely. Our daily team meetings feel more like a virtual coffee break than a formal status update with space to share ideas, ask questions, discuss discoveries and solve problems together. We value trust, autonomy and openness, and we understand that great engineers don't all follow the same career path. What matters is the quality of your work, your curiosity, and your willingness to explore challenging problems. You will have regular 1:1s with your people manager where you will have the opportunity to discuss things that matter to you. You will have dedicated time each week to focus on your CPD. The technical lead will provide direction and help set priorities, but everyone in the team is there to support each other. One of our core principles is tha

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 Our Senior Applied AI Engineer builds and operate production-grade AI systems that extract meaning from large-scale unstructured document collections, enabling enterprise data discovery classification, and governance. This role owns the full lifecycle of graph intelligence solutions — from problem definition and data modelling, to building and enriching knowledge graphs, and deploying ML- and LLM-assisted analytics in production. The focus is on semantic and contextual analysis of unstructured data to uncover relationships, patterns, and insights that support AI safety, security, and compliance requirements. WHAT YOU'LL DO Design, build, and deploy graph-based AI solutions, combining knowledge graphs , LLMs, and ML models applied to large-scale unstructured data Define and own data pipelines that extract, transform, and enrich entity relationships into production-grade knowledge graphs Integrate LLMs and ML models into text processing pipelines for classification, embedding generation, document similarity, and semantic analysis Design, deploy, and operate graph and vector databases to support retrieval, reasoning, and analytics Optimize models and inference pipelines for production constraints including latency, throughput, cost, and infrastructure Deploy, monitor, and iterate on ML systems in production environments ensuring reliability and continuous integration Drive architectural decisions and tech

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 You will be a key Senior Software Engineer driving the digital transformation of Everpure focused on innovating and enhancing our Modern Data platforms. Your mission is to design and implement highly reliable, high-performance algorithms and technologies that redefine the customer experience. This role requires an senior engineer who will use a deep understanding of organizational objectives to resolve complex issues and deliver innovative, end-to-end solutions alongside cross-functional engineering and product teams. WHAT YOU'LL DO Implement strategic policies and develop novel, high-performance algorithms for distributed systems, ensuring the achievement of challenging goals (e.g., six 9's reliability ). Own the end-to-end delivery of innovations , from initial concept and design through final testing and deployment into a shipped product, driving critical business outcomes. Analyze and resolve complex technical issues where a deep evaluation of variable factors is required, serving as a subject matter expert and selecting appropriate methods and techniques for obtaining results. Network with key contacts outside your immediate area of expertise to gather requirements and validate solutions, influencing system design decisions across functional boundaries. Mentor junior engineers and coordinate the technical activities of a project sub-team to maintain schedules and align with architectural vision. WHAT YOU BRIN

P-1376 Job Overview: We are seeking a highly skilled Frontline Senior Technical Solutions Engineer with over 7+ years of experience to join our Platform Support team. This role is pivotal in delivering exceptional support for our Databricks Data Intelligence platform, addressing complex technical challenges, and ensuring the seamless operation of our data solutions. As a frontline engineer, you will be the primary point of contact for critical issues, working closely with both internal teams and customers to resolve high-impact problems and drive platform improvements. Key Responsibilities: Frontline Support: Serve as the primary technical point of contact for escalated issues related to the Databricks Data Intelligence platform. Provide expert-level troubleshooting, diagnostics, and resolution for complex problems affecting system performance and reliability. Customer Interaction: Engage with customers directly to understand their technical issues and requirements. Provide timely, clear, and actionable solutions to ensure high levels of customer satisfaction. Incident Management: Lead the resolution of high-priority incidents, coordinating with various teams to address and mitigate issues swiftly. Conduct thorough root cause analyses and develop preventive measures to avoid recurrence. Collaboration: Work closely with engineering, product management, and DevOps teams to share insights, identify recurring issues, and drive improvements to the Databricks Data Intelligence platform. Documentation and Knowledge Sharing: Create and maintain detailed documentation on support procedures, known issues, and solutions. Contribute to internal knowledge bases and create training materials to assist other support engineers. Performance Monitoring: Monitor and analyze platform performance metrics to identify potential issues before they impact customers. Implement optimizations and enhancements to improve platform stability and efficiency. Platform Upgrades: Manage and oversee t

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. Key Responsibilities: Own and enhance the reliability, scalability, security, and operational readiness of production and non-production environments. Build and maintain Infrastructure as Code (IaC), configuration management, CI/CD pipelines, deployment automation, and operational tooling. Collaborate with Engineering, Product, QA, Security, and Cloud teams to support releases and production deployments. Implement and improve monitoring, observability, logging, alerting, and incident response processes. Troubleshoot issues across Linux and Windows systems, networking, DNS, SSL/TLS, web servers, databases, APIs, and cloud platforms. Support cloud migration, platform modernization, vulnerability remediation, patching, disaster recovery, and operational documentation. Participate in production support, incident management, root cause analysis, and continuous service improvements. Design, develop, test, and deploy new product features and enhancements. Utilize AI-assisted development tools for code generation, refactoring, testing, and documentation while adhering to engineering best practices. Key Skills: 8+ years of exper

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 Toronto, 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 ecosystem b

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 London, 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 ecosystem by

P-298 About Databricks 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. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Role s enterprise data enclaves and Generative AI applications become mission-critical to national security and public sector modernization, maintaining the reliability and operational integrity of the underlying platform is paramount . Databricks is seeking a Senior Support Engineer (GovOps) to join our Cleared Engineering team in McLean, VA . Sitting at the vital intersection of core infrastructure operations and active platform reliability, this team serves as the ultimate technical authority for our platform across GovCloud, FedRAMP High, and air-gapped environments . In this role, you will move beyond basic ticket resolution to handle the hardest technical escalations across our platform domains—including Compute, Networking, Storage, IAM, and OS internals . You will partner directly with Core Engineering, conduct deep live troubleshooting, safely execute automation tools, and isolate complex system boundary blocks inside secure enclaves . If you are a systems specialist who thrives under pressure, enjoys writing custom tooling to unblock platform bottlenecks, and wants to safeguard the infrastructure powering next-generation federal AI workloads, this opportunity provides unmatched scope and impact . The Impact You’ll Have The Impact You’ll HaveDrive High-Side Platform Reliability: Serve as the techn

Senior Machine Learning Engineer Description - We are looking for a Senior MLOps Engineer to design, build, and operate the infrastructure that enables machine learning models and large language models to be deployed safely, reliably, and at scale. In this role, you will create the end-to-end capabilities required to move models from experimentation into production, expose them through secure and highly available endpoints, and enable users and applications to interact with AI-powered services. You will work across AWS and Databricks to establish robust CI/CD pipelines, model-serving infrastructure, observability, governance, rollback mechanisms, and operational standards. You will partner closely with data scientists, machine learning engineers, software engineers, security teams, and platform engineers. The ideal candidate combines strong cloud and DevOps engineering skills with a practical understanding of machine learning systems, LLM deployment patterns, and production reliability. Key Responsibilities MLOps Platform and Architecture Design and implement a scalable MLOps platform using AWS and Databricks. Define reference architectures and reusable deployment patterns for traditional machine learning models, deep learning models, and large language models. Build standardized workflows that move models from development and validation into staging and production. Develop self-service capabilities that allow data scientists and ML engineers to deploy models without manually managing infrastructure. Establish clear separation between development, testing, staging, and production environments. Design multi-region or multi-availability-zone architectures where required by business continuity and availability objectives. CI/CD and

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 Join the Exa team and lead the charge in redefining enterprise storage by unifying block, file, and object protocols across hybrid-cloud environments. You will combine deep technical expertise in distributed systems with hands-on people leadership to guide architectural decisions and mentor high-impact engineers. This is a unique opportunity to build new engineering teams from the ground up and drive industry-leading innovation alongside Product and Architecture partners. Your work will directly impact how customers consume, scale, and operate mission-critical storage infrastructure. WHAT YOU'LL DO Establish and scale a new engineering organization focused on critical Exa platform services, ensuring a foundation of long-term success, technical excellence, and a high-performing culture. Own the successful delivery of complex, high-scale engineering features for the Exa platform, ensuring world-class security, reliability, and availability across multi-array and hybrid-cloud deployments. Define the technical vision and execution roadmap in close partnership with Product Management and Architecture, translating customer needs into a measurable business impact for Pure Storage. Drive a culture of operational rigor, owning the refinement of engineering processes around observability, CI/CD, and incident response, while actively mentoring the next generation of technical leads. WHAT YOU BRING Leadership and Scaling: Pro

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 team in Amsterdam. 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 Amsterdam, 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, 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 strat

MDM TechnologyMDM Technology, a company affiliated with Dun & Bradstreet, provides enterprise-grade master data management (MDM) solutions that help organizations create a single, trusted view of business entities. By cleansing, matching, linking, and enriching data, anchored by the global standard D‑U‑N‑S® Number business identifier, MDM Technology enables accurate identity resolution across systems to support analytics, compliance, and AI workflows across industries. The Senior Quality Assurance Engineer ensures our software meets user and product needs. The role creates and maintains project test plans, defines and tracks quality assurance metrics, collects and analyzes data for software process evaluation and improvements, and integrates them into business processes combining deep technical expertise in API and Integrations testing and Automation. This role must show a passion for AI enabled Software Quality practices Leveraging modern AI tools to improve testing efficiency, accelerate release cycles, and enhance software reliability across complex enterprise integration.