Senior Data Reliability Engineer Jobs

Senior Product Engineer II Team: Engineering Prolific Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models. The role As a Senior Product Engineer II you will be the senior technical contributor for your team, partnering with the Engineering Manager to set technical direction and ensure delivery excellence. You will balance hands-on contribution with technical leadership, serving as the go-to person for technical decisions and architecture within your team's domain. You are increasingly outward-facing, representing your team's technical work beyond its boundaries. What you’ll be doing in the role Define Technical Direction: Partner with the EM to shape the team’s technical roadmap, strategy, and architectural direction. Drive Engineering Excellence: Own code quality, testing, reliability, performance, and engineering standards across the team. Lead Technical Discovery: Guide technical planning, discovery, solution design, and decision-making, balancing short- and long-term needs. Collaborate and Influence: Facilitate cross-team technical collaboration, contribute to engineering-wide initiatives, and act as a technical liaison. Grow the Team: Actively mentor and develop engineers at any level, within and beyond the team. What you'll bring to this role Technical Leadership: Proven experience leading technical direction, making architectural decisions, and solving complex engineering problems. Engineering Expertise: Deep expertise in software engineering, architecture, testing, reliability, performance, and maintainable system design. Product Mindset: Ability to connect technical decisions to customer and business outcomes while balancing del

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Security EDR Workflows team is in charge of building core capabilities that power Elastic Defend management experience. Our focus is on delivering policy configuration and management capabilities, Elastic Defend and third party providers response actions as forensics capabilities through OSquery. The team is leading XDR key expansion to our SIEM foundations and enhancing user experience in onboarding and managing our security product. As a Senior Software Engineer on the Security EDR Workflows team, you will help design and build workflows and user-facing capabilities that get to our Elastic Defend agent to protect and respond against security threats. You’ll collaborate closely with other security engineering teams, as well as with product and design, to deliver robust, high-scale features used by security practitioners around the world. What You Will Be Doing You’ll design and implement features that power Elastic Defend user interface capabilities. You’ll build and evolve APIs that allow our product to interact with Elastic Defend data. You’ll contribute to the architecture of Elastic Defend management and response actions framework along with OSquery forensics capabilities. You’ll develop scalable, high performance systems within the Elastic ecosystem. You’ll own the reliability, observability and operational health of ou

About BlockTech BlockTech is a fast-paced algorithmic trading firm facilitating global cryptocurrency derivatives and spot trading while expanding into new markets. As we continue to grow rapidly, we are looking for a Software Engineer to join our Foundation team amid our exciting scale-up phase! You will Build & optimize: Design, develop, and maintain high-reliability, low-latency, and high-throughput foundational systems that enable our trading and technology teams to scale efficiently. Ingest & aggregate: Collect trading business data with minimal latency impact and ingest both public and private exchange information into our trading system. Store & stream: Develop and maintain infrastructure for real-time data aggregation and long-term storage, as well as our Kafka-based messaging systems. Collaborate & support: Work closely with multiple teams, assisting them in integrating with and making the most of our foundational systems. Innovate: Drive projects from concept to deployment with full ownership, and explore new tools, frameworks, and approaches to keep our infrastructure best-in-class. The Foundation team develops core software infrastructure (libraries, frameworks, and systems) for BlockTech, solving common problems and lending its expertise to enable other teams to stay focused on their respective domains. They own, develop, and configure a wide variety of critical, high-reliability software, ranging from low-level ultra-low-latency shared memory IPC libraries to high-throughput data buses and data aggregation systems including Kafka, NATS, PostgreSQL, and Iceberg. They work primarily in Rust, but also use Python and SQL. If you thrive on low-level problem-solving, building robust frameworks from scratch, and enabling others to move faster, this role is for you. What We're Looking For Essential: 5+ years of experience as a Software Engineer, with a strong focus on systems-level optimisation and awareness of hardware constraints Proficiency

At Kargo, our mission is to build a connective tissue between the physical world of freight and the digital ecosystem used to manage it. We believe that advancements in smart infrastructure are critical to enabling a safer and more efficient future for logistics. Our loading dock sensor platform verifies all incoming and outgoing freight, aggregating data that enables shippers and carriers to efficiently manage dock operations, switch out suppliers and understand material flow in real time. We care deeply about delivering the best solutions for our customers. As a member of the Kargo team, you will have the opportunity to develop and deploy tomorrow’s hardware & software solutions and help revolutionize logistics. Responsibilities Develop the end-to-end experience for AI-powered products, including data pipelines, backend services, and user interfaces for interacting with the Kargo platform. Build and evolve Kargo’s customer-facing dashboards and applications, creating intuitive experiences that help users understand and act on complex logistics data. Develop software experiences across multiple surfaces - web, mobile, and kiosk interfaces deployed on Kargo Towers and forklifts. Collaborate with Product and Solution Engineers to build our agentic AI product suite. Strengthen the stability, scalability, and measurability of our backend systems. Experience 5+ years of software engineering experience building products at scale. Strong experience in TypeScript and Python. Experience building and shipping enterprise or consumer-facing products, with a strong understanding of how product needs translate into technical requirements. Comfort working cross-functionally and with direct customer stakeholders. Experience building modern web applications and APIs, with the ability to own features across the full stack. Strong understanding of backend architecture, distributed systems, scalability, reliability, and fault-tolerant system design. Experience with productio

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role The Streaming Platform team at Sentry is building the next generation of infrastructure that powers our ingestion pipelines and real-time data processing systems. Our platform ingests, processes, and distributes hundreds of thousands of events per second with low latency and high reliability. We are creating a system that makes it easy for Sentry engineers to deploy and run Streaming Applications at scale by simplifying the complexity of Kafka, scaling consumers automatically, and managing state so product teams can focus on building great experiences for developers. As part of this team, you will work on challenges at the intersection of distributed systems, real-time data processing, and developer experience. You will help us create a self-service streaming platform that improves stability, accelerates time to production, and reduces operational overhead. In this role you will Design, build, and operate components of our Streaming Platform, including Kafka, the streaming runtime, high-level APIs, and developer-facing abstractions. Implement resilient, high-throughput stream processing systems that handle unbounded datasets with strong correctness guarantees (delivery, checkpointing, watermarking, and more). Build scalable automation and control plane for Kafka fleet management and improve efficiency. Partner with product engineers to ensure our abstractions enable fast, reliable, and consistent ingestion pipelines. Improve observability, monitoring, and failover for mission-critical real-time systems. You’ll love this job if you You enjoy working on distributed systems at scale and care about reliability and

Join the Atlas Search team to design and develop the next generation of Semantic and Vector Search infrastructure. Atlas Search is a growing cloud service that allows users to execute complex search and vector search queries using the MongoDB Query Language. Our users can focus on relevance and data retrieval instead of the machinery needed to search data at scale. Our team is building a cloud-based distributed system responsible for the core components of search including data ingestion, performance, query language, query execution, for both relevance-based search and vector search. Our product is being adopted quickly and there are many interesting projects. This is a technical role where you will be responsible for the infrastructure and features enabling our at-scale cloud service powering vector and semantic search. We are looking to speak to candidates who are based in the San Francisco Bay Area for our hybrid working model. What You’ll Do Lead complex projects across the MongoDB ecosystem, for instance, development of a new Search deployment framework within the MongoDB managed cloud Set project level strategy, architect features, and lead projects to successful execution Identify, design, and implement features enhancing our reliability, performance, security and efficiency Perform code reviews with peers and make recommendations on how to improve our software development processes Influence and grow team members through active mentoring and leading by example What We Look For 5+ years experience in data management/search systems, ideally with a strong distributed systems and infrastructure background Experienced in the development and maintenance of concurrent, stateful services Eager to shape the technological direction of a complex system and have the ability to lead initiatives through collaboration with others Experienced in writing features, debugging and optimizing multithreaded applications written in Java Familiarity with LLM

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . As a Senior Staff Machine Learning Engineer, Feed Relevance , you'll drive the development of GenAI-powered recommendations, leveraging Reddit’s unique community landscape, rich conversational data, and dynamic engagement patterns. Your deep modeling expertise will directly shape the core architectures behind feed ranking, enabling breakthrough personalization for tens of millions of users. Responsibilities: Deliver on technical initiatives that have significant company-wide impact Set technical direction for the broader Relevance and Feeds teams at Reddit, able to identify opportunities and influence strategy across multiple orgs Work with management on goal setting, planning, and de-risking critical projects Mentor and grow Senior and Staff engineers Create a strong healthy engineering culture Qualifications: 10+ years of industry experience building systems for relevance driven products Subject matter expert in relevance, recommendation, and ML systems; able to solve complex problems in these domains that few others can Deep understanding of how to build sustainable software systems at a large scale engineering organization Experience in influencing organizations on technical direction/best practices Experience working with cross-functional teams such as design, product, business & data teams to deliver great experiences. Strong focus on user experience, usability, scalability, reliability and quality. You are an undying advocate for the user, and you have a deep intuition for how people & machines inte

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. Senior Software Engineer — Cortex Training The Snowflake ML Platform team's mission is to let customers run their most demanding ML/AI workloads inside Snowflake. Cortex Training is our LLM post-training platform: it turns scarce, expensive GPU capacity into a simple, composable service, so customers can adapt open-weight foundation models to their own business problems while we handle the hard distributed-systems parts, including scheduling, orchestration, multi-node training and inference, fault tolerance, and throughput. The platform already runs post-training at scale. Under the hood, it decouples GPU computation from the training loop and exposes it as primitive APIs that compose into everything from SFT to full RL workflows. You'll work alongside a team that ships fast & sweats reliability and the researchers behind DeepSpeed. We're looking for an engineer who thrives in the ML infrastructure layer and brings a solid understanding of LLMs and post-training to help us scale and grow it. YOU WILL: Design and build across the full stack — from the public training APIs and SDK through the control plane to the GPU data plane. Scale the distributed systems that make GPU compute serverless — multi-tenant scheduling, placement, and capacity-aware routing across regional G

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. Who You Are You have experience supporting technology in a startup, high-growth, or enterprise environment. You combine exceptional white-glove customer service with strong technical expertise, a passion for solving complex problems, and a continuous improvement mindset. As a Senior IT Support Engineer, you’ll serve as a senior technical expert, driving improvements across endpoint management, workplace technology, and the Digital Employee Experience (DEX). You’ll combine hands-on technical support with automation, AI, operational excellence, and process improvement to keep employees productive and successful. You lead by example through clear communication, strong documentation, technical expertise, and a customer-first approach. What You Will Work On Technical Support & Operations Serve as a senior technical expert for complex endpoint, operating system, networking, and workplace technology issues. Engineer, maintain, and continuously improve endpoint technologies, operating system configurations, and workplace technology to enhance reliability, security, and employee productivity. Deliver exceptional white-glove technical suppo

JOIN OUR TEAM As a Senior Software Engineer on our Web & API team, you will play a key role in shaping and evolving our e-commerce storefront. Working across the full stack, from React components and data integrations to AI-powered features, you will take ownership of complex features end-to-end, from specification and architecture through to delivery and monitoring. In close collaboration with Product and Design in an agile environment, you will combine a keen eye for performance with a drive to build experiences that delight millions of customers. Your curiosity for emerging technologies will help the team work smarter, ship faster, and continuously push the boundaries of what is possible. This position is permanent and based in Munich . WHAT YOU'LL DO Design, build, and maintain features end-to-end across the storefront and mobile API, from specification through server-side data loading and UI to production release and maintenance Build and extend integrations with our e-commerce, headless CMS, search, analytics, and experimentation platforms Build AI-powered user-facing features, directing and reviewing AI coding agents in your own and the team's workflow while owning the correctness, security, and maintainability of everything that ships Own the caching, rendering, and performance strategy for the storefront and mobile API Partner with Product Managers and Designers to turn business goals into performant, high-quality user experiences Champion code quality and reliability through testing, code reviews, and the conventions and context that keep the codebase healthy for both engineers and AI agents as it grows YOU COME WITH Deep expertise in React, TypeScript, and modern frontend development, backed by strong software architecture skills and solid engineering principles A sharp focus on performance across the stack, from frontend rendering to backend data fetching, including server-side rendering (ideally with React Router) and GraphQL Strong specification and ar

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. On the ML Fraud team, you’ll build and improve machine learning systems that make real-time transaction decisions, protecting consumers and merchants while balancing fraud loss, customer experience, and conversion. You’ll work closely with experienced ML engineers, platform partners, and cross-functional stakeholders to take models from idea to prototype to production, and to keep them healthy with strong measurement and monitoring as fraud patterns evolve. What you’ll do - You will lead development of new fraud prediction models using a mix of approaches for tabular, graph, and behavioral data - You will build and scale feature pipelines and training datasets from proprietary and third-party signals, partnering with data and platform teams when needed. - You will prototype new modeling ideas and features, run offline experiments, and drive the best-performing approaches into production with appropriate risk controls. - You productionize models: integrate into batch and/or real-time decision systems, and improve reliability, latency, and operational robustness. - You will instrument and monitor model and data health, and help define retraining/backtesting workflows as fraud patterns evolve. - Identify and implement foundational improvements to how the team builds models. - You will collaborate across Engineering, Fraud Analytics, Product, and ML Platform to define requirements, evaluate tradeoffs, and communicate results clearly to both technical and non-technical audiences. What we look for - You have 6+ years experience researching, training, tuning and launching ML models at scale. Relevant PhD can count for up to 2 years of experience. - Track record of delivering high impact machine learning models in a low latency live setting - Strong Python skil

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit is where 130M+ people a day come to share what they know, ask what they don't, and find their people. Every post, comment, and new format starts with our composers. We're looking for a Senior Staff engineer to be the technical anchor for how people create on Reddit across Web, iOS, and Android. You'll own the cross-client vision for contribution. That means one shared content model and set of client contracts that all three platforms build against, the performance and reliability engines underneath, and the creation surfaces on top. Our modernized composers are now live on every platform, so the next chapter is growth: making video a first-class way to create, bringing new formats to every user, and using AI to inspire contribution without writing it for people. Every bet has to earn its way through an experiment, so you'll pair architectural judgment with real rigor about what moves the metrics. This is an IC leadership role, partnering directly with Product, Design, and Data Science leadership. Key Responsibilities: Own the cross-client architecture: Define the shared contracts that Web, iOS, and Android build against, including our rich content model, GraphQL schemas, and shared UI primitives. A feature should be designed once and shipped natively everywhere, not built three bespoke ways. Make video and media first-class: Set the client architecture for video creation, editing, drafts, and upload, built to survive bad networks, app restarts, and lower-end devices. Bring new formats to every user: Establish how

About the role: We are seeking a Senior Backend Engineer with deep backend engineering expertise and proficiency in one or more major programming languages (e.g., Python, Java, Go, Rust, or Kotlin), along with a strong understanding of AI models and agents. As a core member of our AI Engineering team, you will collaborate with data scientists, ML engineers, and product managers to build scalable, production-ready infrastructure and APIs that power intelligent systems. What you'll be doing: As a Senior Backend Engineer in the AI Engineering team, you will: Build and maintain reliable, scalable backend services to support AI agent execution and orchestration. Develop AI agent systems for complex operational workflows using LangChain, LangGraph, LiteLLM, and Langfuse. Orchestrate a hybrid model stack that includes OpenAI and Google Gemini alongside self-hosted and fine-tuned LLMs like Gemma and Llama. Build and maintain integrations with clinical systems (FHIR, EMR). Drive observability and reliability using OpenTelemetry, Datadog, and Langfuse. Design APIs (GraphQL, REST), background workers, and event-driven systems that interface with AI inference engines and agent runtimes. Collaborate with Data Science, ML, and engineering teams to deploy AI features and improve the performance, scalability, and reliability of backend systems. Participate in code reviews, knowledge sharing, and mentoring to elevate the team’s technical capabilities. What we're looking for: 6+ years of backend engineering experience, with strong proficiency in more than one major programming language (such as Python, Java, Go, Rust, or Kotlin). Solid understanding of AI systems architecture and experience working in environments involving AI agents, LLMs, or inference pipelines. Proven experience in building and scaling backend APIs, microservices, and background jobs. Strong experience with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Redis), including schema des

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. As a Senior Fullstack Software Engineer on CLEAR’s Healthcare team, you will build and scale secure, interoperable identity and data solutions that connect patients, providers, and partners. You’ll operate at the intersection of modern web platforms, healthcare interoperability standards, and high-assurance identity systems powering frictionless, trusted healthcare experiences nationwide. A brief highlight of our tech stack: Python / React / Typescript AWS cloud What you’ll do: Design and deliver secure, scalable fullstack solutions that integrate with enterprise EHR systems and national health information exchange frameworks Build and maintain healthcare data integrations leveraging FHIR (RESTful APIs/JSON) and HL7 v2 messaging to enable compliant, real-time data exchange Develop identity resolution and patient matching capabilities using identifiers such as MRNs and NPIs to ensure integrity across disparate clinical systems Partner with Engineering, Security, Product, and Health Information Management teams to implement compliant, audit-ready workflows for regulated healthcare processes Collaborate with external vendors (e.g., Epic Technical Services) to troubleshoot integration issues, manage deployments across TST/PRD environments, and ensure production reliability How you’ll measure success: Successful delivery and stability of FHIR/HL7 integrations across healthcare partners Reduction in data integrity issues related to patient matching and identity resolution High system uptime and successful production deployments across tiered

About the Role: We are looking for a talented Automation Engineer to join our Automation Engineering team in Toronto. In this role, you will be responsible for designing and implementing automated tests for Mobile development. You will collaborate closely with QA engineers and developers to build scalable test frameworks, improve automation coverage, and contribute to the efficiency of our multi-platform release process. You will also design data-driven end-to-end checks around playback and ad insertion , integrate them into CI/CD pipelines as quality gates, and operate a reliable device lab to prevent regressions from shipping. Your work will directly accelerate testing and release velocity while improving revenue-critical reliability across Tubi’s Android and IOS apps. This is a hybrid role based out of our Toronto office. You must be willing to travel to our Toronto office two days/week. What You'll Do: Design, implement, and maintain automated tests for mobile development (Android & iOS) Contribute to the development and optimization of cross-platform automation frameworks. Write and maintain test scripts in JavaScript/TypeScript , using frameworks such as Puppeteer, Appium, WebDriverIO, Selenium. Ensure test cases are integrated into CI/CD pipelines and provide reliable feedback on product quality. Help identify flaky tests, investigate root causes, and improve test stability. Collaborate with developers and QA engineers to clarify requirements and improve test strategies. Participate in code reviews and follow best practices for test automation . Your Background: Bachelor’s degree or above in a technical field (e.g., Computer Science, Engineering, Mathematics), or equivalent industry experience. 3+ years of hands-on experience in automation testing for mobile devices Strong programming skills in JavaScript/TypeScript (preferred), or Python/Java. Experience with automation frameworks (e.g. Puppeteer, Appium,, WebDriverIO, Selenium, Playwright, T