Senior Data Reliability Engineer Jobs

Who We Are At Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people. We’re helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we’d love to hear from you. We're united by shared goals and shared motivations at Justworks. These are best summed up in our company values, which are reflected in our product and in our team. Our Values If this sounds like you, you’ll fit right in. Department Technology, Data & AI About The Team The Data & Analytics team is Justworks' data and AI center of excellence — a connected set of functions spanning business intelligence, data science, analytics engineering, platform data/ML engineering and AI builders. We've grown significantly over the last several years and continue to build momentum across the business, leveling up maturity in how we deliver insights, govern data, and enable the company to make better decisions. You'll find a highly collaborative & diverse group motivated by craft, shared learning, and a genuine commitment to growing our impact for customers while evolving how we work together for our people. Come build with us! The Data Platform Engineering team sits at the core of this foundation, owning the pipelines, platform infrastructure, and reliability that every other DNA function depends on. Who You Are You're a hands-on engineering leader with deep experience building and operating modern data platforms. You've led teams through scale — evolving architecture, improving reliability, and making hard tradeoffs between speed, cost, and quality. You're as

What is Box? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. Why Box needs you: You will join a newly formed Data Foundations team within Core Data, responsible for building, operating, and evolving the asynchronous data services that support Box’s data infrastructure. The team helps ensure that data remains reliable, consistent, and synchronized across different systems and data stores, supporting a wide range of services and internal teams across Box. The team will take ownership of a number of existing services and work on improving their reliability, observability, scalability, and overall architecture. This is an opportunity to work on foundational, large-scale data infrastructure and help shape the evolution of a new team and its platform. What you'll do: Own and evolve asynchronous data services that support data syn

Aliases: Staff Engineer, Senior Staff Engineer, Lead Engineer, Senior Technical Lead, Senior Architect, Platform Architect, Data Architect, Solutions Architect (Engineering), Principal Engineer at a smaller company About Truveta 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 unique combination of health, software, and big data expertise who share our company values. This opportunity Join the founding team of the Truveta India Development Center and play a pivotal role in shaping its future. As one of the early members, you will help build and scale a high-impact organization while contributing to the products and platforms that advance healthcare through data and AI. This is an unusual chance to influence both the technical direction and the culture of a growing global engineering hub. The Data Platform group in India owns parts of the pipeline that ingests, processes, stores, and serves healthcare data at a scale very few organizations operate at. Patients, doctors, and medical researchers deserve the same engineering rigor that has transformed other industries, and that is the work: correctness under volume, reliability under failure, and speed without cutting the corners that regulated health data does not allow anyone to cut. Who we need We are seeking engineers who think in platforms. You will own a processing domain or a multi-team data capability, define its architecture, and make that architecture legible enough that the teams building inside it can move quickly without asking permission. The problems at this level are the recurring ones: the class of data-quality defect that keeps retu

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. Our Infrastructure team is passionate about building software to solve problems at massive scale. We do this often, and when we believe our solution is worth sharing with the community, such as Envoy Proxy , we open source our ideas for the benefit of others. As a Infrastructure Engineer at Lyft, you will run our Production Infrastructure by monitoring system availability and take a holistic view of our platform health. You will build software and platforms to automate infrastructure platform operations and management. By measuring and monitoring our operations you will seek opportunities to optimize our systems in order to push our platform forward, anticipating our customers' needs in order to continually improve the platform. You will provide Lyft partner teams with operational support to help them build robust large scale distributed systems. About the Team Data Pipelines is at the heart of all critical data flowing through Lyft supporting hundreds of services that impact millions of drivers and passengers every day. Our team’s mission is to empower Lyft engineers to self-serve in building and maintaining data pipelines as needed to support products that deliver the world’s best transportation experience. We leverage a variety of technologies to store, stream and manage data making it available to our internal customers. Responsibilities: Maintain and analyze metrics from; operating systems; control planes; and applications to assist in fault detection and performance enhancement Design, develop and deploy tooling and systems that continually improve the reliability, scalability and efficiency of our platform Balance feature development speed and reliability with service-level objectives Operate and improve our Infrastructure using industry best practices and tools Participate in design and

Opportunity Overview: We are seeking a Senior Manager, Data Platform Engineering to lead a critical part of Cohere Health’s Data Platform team as we continue scaling our technology, engineering practices, and client delivery capabilities.This role combines people leadership, technical judgment, and strong execution ownership to build a high-performing engineering team and drive predictable delivery, technical excellence, and operational reliability across complex data initiatives. You’ll partner closely with Product, Engineering, Architecture, Client Delivery, and business stakeholders to build a scalable, trusted data foundation that supports Cohere’s continued growth. What you’ll do: Lead, coach, and develop a high-performing Data Platform engineering team through clear expectations, regular feedback, career development, performance management, and strong engineering leadership. Own execution across complex data initiatives, translating priorities into credible delivery plans with clear scope, milestones, owners, dependencies, capacity assumptions, risks, decisions, and target dates. Maintain accountability through delivery and proactively adjust plans when scope, capacity, dependencies, or technical complexity change. Establish strong delivery discipline by ensuring work is sufficiently defined, technically understood, estimated, sequenced, and ready before commitment; proactively address blockers, dependencies, scope changes, and capacity constraints, with clear mitigation and early escalation when commitments are at risk. Maintain sufficient technical depth to independently assess delivery and implementation risk, while partnering closely with Staff Engineers and other technical leaders to validate architecture, implementation approaches, estimates, technical readiness, root causes, and quality before key decisions or commitments are made. Build trusted cross-functional partnerships across Product, Client Delivery, Engineering, Architecture, Operations, and oth

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 Serve as the technical owner and architectural lead for our offline experimentation platform and route simulation services, setting technical direction, evaluating trade-offs, and ensuring the systems scale with Lyft's routing and mapping ambitions Continuously evolve data models and schemas to meet business and engineering requirements Develop AI tools that support self-service management of data pipelines (ETL) and schema evolution, and perform han

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team The Infrastructure team builds and operates the foundations that power Decagon: networking, data, ML serving, developer platform, and real‑time voice. We partner closely with product, data, and ML to deliver high‑scale, low‑latency systems with clear SLOs and great developer ergonomics. We organize around four focus areas: Core Infra: The foundational cloud stack—networking, compute, storage, security, and infrastructure‑as‑code—to ensure reliability, scale, and cost efficiency. Data Infra: Streaming/batch data platforms powering analytics/BI and customer‑facing telemetry, including for customer‑managed and on‑prem environments. ML Infra: GPU and model‑serving platforms for LLM inference with multi‑provider routing and support for on‑prem/air‑gapped deployments. Platform (DevEx): CI/CD, paved paths, and core services that make shipping fast, safe, and consistent across teams. Our mission is to deliver magical support experiences — AI agents working alongside humans to resolve issues

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Senior Software Engineer, Data Layer As a Senior Software Engineer on the Data Layer team within the Platform group, you'll shape the API (GraphQL) platform that connects every client application to Coinbase's backend services, handling the majority of user traffic across Consumer, Base, and Institutional products. You'll own the critical systems that route and serve API requests at scale, improving reliability, performance, and developer experience for hundreds of engineers building on this foundation layer. What you'll do: Own and deliver projects end to end, from scoping and system design through implementation, rollout, and production validation, driving measurable progress on the team's highest-priority initiatives. Design and build high-reliability, low-latency systems serving millions of users, tackling challenges like caching, upstream service optimization, and efficient connection management at scale. Build and improve the API framework and tooling that hundreds of engineers depend on, making it fast and easy for teams across the company to build, test, and ship independently. Drive operational excellence across T0 services: own SLOs, improve observability, lead incident response, and reduce operational toil so the team can invest in high-leverage work. Partner cross-functionally with product engineering teams to design API schemas, support service launches,

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Roblox's data infrastructure processes petabytes of data daily, powering analytics, ML, and product decisions. As a Senior Software Engineer in our Data Infra org, you will design, build, and scale the distributed data infrastructure platforms that power Roblox. You will own and drive the next-generation architecture of our core platforms, which span Kafka, Flink, Spark, Trino, Druid, Airflow and Data Catalog. This role combines high ambiguity and ownership to push the boundaries of what our infrastructure can handle at massive scale, giving you the unique opportunity to steer the evolution of the data landscape. You Will: Own and Scale Core Platform Components: Take responsibility for the design, architecture, and implementation of 1–2 key data platform frameworks within our stack Collaborate and Align: Partner with infra, data science, and product engineering teams to ensure your target platform's capabilities are directly guided by platform governance and product requirements. Optimize Performance at Scale: Dive deep into engine internals, query planning, state management, memory optimization, serialization efficiency to maximize throughput and reliability under heavy load. Drive Infrast

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. The Vendor Monitoring Data team focuses on gathering external data and conducting risk analysis as part of Vanta's Vendor Risk Management (VRM) product. Our work provides comprehensive insights that help customers mitigate third-party risks effectively. As a Senior Fullstack Engineer, you'll drive complex projects across our technical stack while mentoring our talented engineering team. This role offers a unique opportunity to delve into a hyper-focused subject area: external attack surface scanning. You'll tackle unique technical challenges and contribute directly to Vanta's impact by helping customers continuously and comprehensively monitor risks across their vendor supply chain. Our business has found incredible product-market fit and has monetized effectively since the day we signed our first customer. We're growing at a blistering pace, which presents career-defining opportunities for engineers to accelerate their growth and contribute to a rapidly-scaling company. Visit our Vanta Engineering Blog to learn more about what our team is working on! What you’ll do as a Senior Fullstack Engineer, Vendor risk management at Vanta: Identify, scope, and lead large technical projects, laying the groundwork for core products to evolve and scale into highly performant, reliable, and customizable systems Make effective tradeoffs that consider business priorities, user experience, and a sustainable technical foundation Engineer sophisticated monitoring and alerting systems to guarantee the reliability, speed, and integrity of our security data pipeline. Collaborate with security researchers to rapidly deploy new scanning techniques and

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. Observe by Snowflake is an AI-powered observability platform built on the Snowflake AI Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lakehouse using open formats like Apache Iceberg — at dramatically lower cost. A dynamic Context Graph and chat-based AI SRE provide rich context and automated workflows so teams can move from detection to root cause and resolution 10x faster. Leading engineering teams at companies like Capital One, Topgolf, and Dialpad rely on Observe to troubleshoot hundreds of terabytes of telemetry daily while maintaining reliability at enterprise scale. As part of Snowflake, Observe combines startup-style ownership and velocity with the global reach, operational excellence, and ecosystem of one of the world's leading data platforms. We are hiring a Senior Software Engineer for Observe by Snowflake on the Data Management team. This team is responsible for the tables, views, and materialized views at the core of Observe's architecture. Observe's data lake approach lets customers correlate heterogeneous telemetry — logs, metrics, traces, events — across a unified data model. This role owns that data model: how customers define, shape, and query the semi-structured data that makes cross-si

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Our vision is to transform how the world uses information to enrich life for all . As a team member of technology development reliability group, you will be working with DRAM device/process development team and circuit design team. You will be responsible for analyzing reliability performance of hot carrier, bias temperature instability, electromigration etc. for each cell transistor, high performance CMOS and advanced interconnect. Also, you will be responsible for reliability model building and the consultation from device development team and circuit design team. The reliability is one of the important pillar for device scaling and state of the art technology development. Its work is based on understanding the semiconductor device physics, DRAM architecture knowledge, DRAM process integration knowledge. For the new reliability findings during the technology development phase, to point in the right direction is required. Responsibilities and Tasks: Develop and implement test methodologies to evaluate wafer-level & circuit-level reliability behavior and performance. Analyze results and create reports to deliver decision-ready, actionable recommendations for guiding technology development. Collaborate with Process Integration and characterization teams to correlate reliability signature with process conversions and parametric test data. Integrate other data sources (inline metro, param,

NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as &#34;the AI computing company.&#34; We're looking to grow our company and establish teams with the most thoughtful people in the world. We are looking for an excellent Senior Engineering Manager to lead a large firmware engineering organization delivering end-to-end manageability firmware for NVIDIA's next generation Data Center Compute Systems. This role owns HGX product line and OpenBMC-based management firmware and MCU firmware components in data center platforms, including architecture, execution, quality, reliability, telemetry, and customer readiness. We are seeking an experienced senior leader with strong technical depth, broad system perspective, and a proven ability to lead large teams through complex product cycles. This role is onsite in Santa Clara, CA, USA. If you're creative and autonomous, we want to hear from you! What you'll be doing: Lead a large firmware engineering organization delivering OpenBMC based firmware and MCU firmware for next-generation Data Center Compute Systems. Own HGX platform as a lead for Firmware and System software readiness working across the organization. Define and drive the long-term firmware roadmap, balancing architectural innovation with product execution and delivery milestones. Drive architecture strategy across BMC, MCU, platform software, manageability, health management, and data center firmware interfaces. <spa

ROLE SUMMARY Clinical development & Operation is a critical domain where scientific innovation is translated into evidence that supports new medicines and improves outcomes for patients and trial participants globally. It operates at the intersection of clinical operations, data science, digital platforms, external partners, and global regulatory expectations, requiring solutions that are scalable, compliant, user-centered, and trusted across diverse stakeholders. Digital platforms, data products, and AI-enabled capabilities are increasingly essential to improving clinical trial planning, execution, monitoring, and decision-making. This role helps deliver responsible technology solutions that strengthen data quality, reduce operational complexity, support audit readiness, and enhance the experience of clinical teams, investigators, and participants while keeping participant safety at the center of the domain As a Sr. Associate, AI and Analytics Data Engineer, you will be part of a global team responsible for engineering the trusted, scalable, and governed data foundation for a major AI-driven platform serving the Clinical Development and Operations domain. You will design and build reusable data products, pipelines, and processing frameworks that integrate complex clinical, operational, and external data; enable advanced analytics, machine learning, and generative AI use cases; and meet enterprise expectations for security, privacy, quality, lineage, reliability, and regulatory compliance. Join our diverse team in making an impact on patient health through the application of cutting-edge technology and collaboration. ROLE RESPONSIBILITIES Design, build, test, and operate scalable batch and streaming data pipelines that ingest, standardize, and integrate clinical, operational, scientific, and external

About the Team The Spark Platform team owns and operates DoorDash's Apache Spark ecosystem — the execution runtime, remote shuffle service, cluster scheduler, and reliability tooling that powers the company's data, analytics, and ML workloads. We run Spark across the company at significant scale and continue to expand the workloads, capabilities, and consumer base we serve. Orchestrating and operating thousands of Spark cluster deployments is a complex distributed system problem which the team invests heavily in runtime optimization, systems architecture, multi-tenant scheduling, and end-user tooling. About the Role As a Senior Software Engineer on Spark Platform, you will set the technical direction for our in-house Spark deployment and shape the architecture that will run DoorDash's data, analytics, and ML compute for the next five years and beyond. You will own the deep, cross-cutting problems that span the runtime, the shuffle service, the scheduler, and the overall service reliability — making the architectural calls that compound across the platform's lifetime. You will partner with the Engineering Manager on technical roadmap, hiring, and team shape, and act as the senior technical voice in cross-team partnerships with Data Engineering, ML Platform, and product engineering teams that depend on the platform. You must be located in San Francisco, Sunnyvale, Seattle, or New York City for this hybrid position. You will report into the Engineering Manager on our Spark Platform team. You're excited about this opportunity because you will… Set the multi-year technical direction for an in-house Spark-on-Kubernetes platform — runtime, shuffle, scheduler, reliability — and make the architectural calls that compound for years. Own the deepest distributed-systems problems on the team: shuffle architecture, multi-tenant scheduling, runtime performance, and the failure modes that only show up at scale. Partner with the Engineering Manager on technical roadmap, hiring, inte