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Location: California; Sunnyvale, CA; San Francisco Bay Area, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Washington, D.C.; Los Angeles, CA; Chicago, IL; Boston, MA Workplace: onsite Overview Welo Data is hiring Croatian-speaking analysts to support our Speech & Voice AI team. You’ll help build high-quality audio, speech, and language datasets that power production AI systems.  Role details Employment: W2, full-time (40 hrs/week) Location: 100% onsite only; must commute to one of: NYC; Seattle/Bellevue/Redmond; SF Bay Area (San Francisco, Sunnyvale, Burlingame); Austin; Los Angeles; Washington DC; Chicago; Boston Pay: $26–$28/hour, depending on location and experience What you’ll do Label and annotate speech/voice data (transcription, tagging, categorization) Follow clear guidelines to ensure accuracy and consistency at scale Maintain strong throughput while meeting quality targets Escalate unclear cases and adapt to evolving instructions Participate in team calibrations for quality alignment What we’re looking for Native-level fluency in Croatian Strong written communication and language fundamentals 1+ year in labeling/annotation/content-quality work, or a related Bachelor’s degree High attention to detail; comfort with structured, repetitive workflows US work authorization required (no visa sponsorship) Benefits Paid vacation: 6 days; Company holidays: 2 (Memorial Day, Labor Day); Sick leave per state law Medical, dental, vision (eligibility applies); HSA; 401(k); EAP; additional voluntary benefits Onsite perks where available: free meals, stocked micro-kitchens, commuter options, unique campus amenities

Location: Morocco; Egypt Intetics Inc., a leading global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is looking for Senior .Net Engineer to enrich its team with a skilled professional to spread company’s ideas, vision, content and messages. Responsibilities: Develop and maintain a high-performance image processing system capable of processing up to terabytes of 3D images and raster images per day. Availability 24/7 Implement algorithms and techniques to efficiently process and analyze images, including image segmentation, feature extraction, and object recognition Develop tools and applications (back-end) to visualize and manipulate 3D images and point cloud data Optimize processing speed and memory usage for maximum efficiency Implement database management solutions to store and retrieve image data efficiently Implement integration with embedded devices via gRPC protocol. Collaborate with other team members, including microscope hardware engineers, to ensure seamless integration of the image processing system with the overall workflow. Requirements Technical Skills: Extensive experience in C# programming language (.NET/.NET Core) Strong understanding of performance optimization, image processing algorithms and techniques Experience with raster image processing and manipulation Familiarity with image file formats, including TIFF, JPEG, and PNG Knowledge of multithreading and parallel processing Experience with SQL and large storage database management (MS SQL or PostgreSQL) Libraries Experience: Familiarity with .NET libraries, such as ADO.NET, Entity Framework, or Dapper Familiarity with gRPC protocol. Nice to have: experience with image processing libraries, such as OpenCV, EmguCV, or ImageMagick. Nice to have: experience with healthcare image processing in general, or Zeiss CZI in particular. Experience with IntelicsML

Location: Global Core C++ Developer – Crypto High-Frequency Trading About Selini: Selini is a global trading firm focused on systematic trading and venture investing. Overview We are seeking an exceptional Core C++ Developer to contribute to the development and optimization of our high-performance trading systems . This role focuses on building ultra-low-latency infrastructure, optimizing execution speed, and ensuring robust system reliability. The ideal candidate will have deep expertise in modern C/C++ , systems programming, and high-performance computing. Key Responsibilities Design, develop, and optimize low-latency, high-performance trading infrastructure in modern C/C++ (latest standards) . Implement efficient and scalable trading algorithms, order execution, and risk management systems . Deep understanding of exchange connectivity standards for market data and order entry Optimize CPU performance, memory management, and multi-threaded applications . Collaborate with quant researchers, traders, and infrastructure engineers to improve system performance. Profile, benchmark, and debug real-time systems to minimize latency and maximize throughput. Maintain robust and fault-tolerant system components for continuous trading operations . Required Qualifications Expert-level proficiency in C++ , with a strong grasp of modern C++ features (C++17/20/23/26) . Extensive experience in low-latency, high-performance systems programming . Deep understanding of networking (TCP/UDP), concurrency, and multi-threading . Strong experience in Linux-based development and performance tuning . Experience with real-time, high-throughput systems where performance is critical. Background in crypto or traditional finance trading systems Soft Skills & Culture Fit Candidates with exceptional academic or industry backgrounds. Strong analytical skills and ability to work in high-pressure, real-time environments . Collaborative team player who enjoys solving complex engineering problems . We’re a close-knit team that values: High ownership and initiative Curiosity, intellectual honesty, and rapid learning Clear, direct communication Working together toward shared goals — no ego, no politics Compensation & Benefits: Very competitive compensation, with strong upside based on contribution and performance Competitive holiday allowance Free daily Deliveroo lunch High-spec office and technology Team socials Global company offsites and development opportunities

Location: Mapbox Germany Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  WHAT WE DO The Navigation Native team builds the high-performance C++ engine that serves as the "brain" of our Navigation SDKs. This library runs directly on end-user systems (on-board), powering everything from mobile apps to in-vehicle infotainment systems for partners like BMW and Zeekr. We solve the fundamental challenges of movement: transforming noisy GPS/IMU data into precise map-matching, managing complex road-network graphs, supporting routes and alternatives, tracking progress along a route, and providing "Electronic Horizon" capabilities for ADAS. Our work happens at the edge, supporting location frequencies up to 10Hz and ensuring a seamless experience even in tunnels or dense urban canyons. As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow. WHAT YOU'LL DO We are looking for smart, fast-learning engineers driven by the challenge of developing core components of the Mapbox navigation ecosystem. As a C++ Developer, you will: - Build and maintain a unified C++17 library that runs seamlessly across iOS, Android, and low-power automotive embedded hardware. - Analyze and improve map-matching and dead-reckoning algorithms using real-world data from millions of vehicles. - Implement route-following features, including high-frequency route progress reporting, deviation detection, and timely instruction delivery. - Work on road object matching (OpenLR) and live traffic incidents to give drivers a predictive "window" into the road ahead. - Design predictive caching for routing tiles and manage complex on-board resources like junction views and signposts. - Integrate and extend the Valhalla routing engine to support offline routing and route refresh controllers. - Thoughtfully leverage AI tools in your design and development workflow to increase efficiency and code quality. WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE - Strong proficiency (min 7 years of experience) in C++17 (or later) with a deep understanding of the language specification, memory management, standard library, and multi-threading. - A passion for writing clean, fast, and portable code that adheres to strict CPU and memory constraints. - Experience working with complex graph-based structures, data structures, and spatial algorithms. - Proven experience developing cross-platform code (Linux, mobile, or embedded systems). - Strong English skills, with the ability to explain complex technical trade-offs to both peers and stakeholders. Would be a Plus - Familiarity with navigation concepts (dead reckoning, bearing, Electronic Horizon, or OpenLR). - Experience working with IMU, OBD-II, or GNSS data. - Background in computational geometry or safety-critical features (ADAS). - Experience with or contribution to open source routing engines. EMPLOYMENT REQUIREMENTS - Employment Type: Full-time - Weekly Hours: 40 h per week - Location/Hybrid Policy: Remote (from any city in Germany) WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. HOW WE SUPPORT YOU - Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable. - Country-Specific Care & Coverage: Private health, dental, and income protection plans tailored to elevate your regional statutory benefits. - Family-First Support: Family care, maternity and paternity leave policies to support your growing family. - Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth - Balance & Brainpower: Mental health support for you and your dependents. - Rest & Recharge: Paid time away, company holidays, and generous absence policies. - Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO. By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. #LI-Remote

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Liquidity Platform The Liquidity Platform provides cutting-edge technology that covers all aspects of crypto trading. We build low-latency connectivity to global crypto venues — across both CeFi and DeFi — strategy services for automated pricing and trading bots, high-frequency data capture and analysis, and state-of-the-art micro frontends for trading management. On top of this infrastructure, we build highly customized strategies to facilitate crypto liquidity. Our engineering teams own the full trading lifecycle, from venue connectivity and execution to strategy, data, risk, and analytics. Our risk solutions are independent of trading logic, decoupled by design, and connected to 20+ trading venues across spot, derivatives, and event-contract markets. If you are a strong technologist excited about the potential of crypto trading and fully-automated systematic trading, we should talk. About the Role We are hiring software engineers across the Liquidity Platform’s engineering teams. You will design, build, and operate the systems that price, execute, monitor, and safeguard our liquidity-providing business 24/7. You will work closely with liquidity managers, product managers, and desk developers — developing strategies, services, and infrastructure using in-house toolkits — while growing capabilities in inventory and risk management, strategic problem solving, cross-functional collaboration, and effective communication. These roles are open to Senior and Staff-level candidates; scope and title are calibrated based on experience and impact. Specializations span Delta One Systematic Trading, Cash OTC, Option Market Making, Trading Infra Service, Data Engineering and Risk & Analytics. What You’ll Be Doing Design, build, and operate scalable, fault-tolerant, low-latency trading infrastructure and microservices that handle 24/7 crypto market operations. Build and maintain connectivity to centralized exchanges, DeFi venues, and counterparties using FIX 5.0+, WebSocket, HTTP/2, and REST — handling the real-world complexities of external integrations and on-chain data. Develop and maintain core services across the trading lifecycle: strategy and execution engines, automated pricing and trading bots, order execution and position tracking, trade & position data platforms, and risk & analytics systems. Architect and optimize high-throughput order execution with sub-millisecond latency targets, and build real-time market-data pipelines aggregating order books and price feeds across multiple venues. Implement pre-trade risk controls, circuit breakers, rate limiters, position/PnL and risk calculations, automated alerting, and high-availability architecture. Implement robust monitoring, alerting, and auto-recovery so strategies remain stable, scalable, and self-healing in a 24x7 trading environment. Build trusted data models, reconciliation workflows, and data-quality controls with clear lineage, reproducibility, and documentation — delivering outputs for the trading desk, Finance, and Operations. Profile and eliminate latency hotspots using garbage-free coding and lock-free concurrency; continuously improve system performance and user experience. Collaborate with liquidity managers, product managers, desk developers, risk, finance, and operations to design, implement, and roll solutions into production. Conduct code reviews, mentor junior engineers, and uphold scalability, resiliency, maintainability, and security best practices across all development activities. What We Look For In You STEM foundation: Bachelor’s degree or above in Computer Science, Engineering, Mathematics, Physics, or a related technical discipline; a combined finance background is advantageous. Experience: Typically 3–8 years in software or data engineering (level-dependent), ideally with exposure to trading, OMS, middle/post-trade, or latency-sensitive systems. Languages: Strong proficiency in one or more of Java (17+), Rust, C++, or Python, with a focus on code quality and operational reliability. Systems: Strong understanding of high-performance, low-latency distributed systems, multi-threaded/concurrent programming, and — where relevant — JVM internals and GC behavior. Connectivity & protocols: Hands-on experience with FIX 5.0+, WebSocket, HTTP/2, and REST APIs, plus network protocol and TCP/UDP optimization. Data & messaging: Strong SQL (MySQL, PostgreSQL — schema design and performance tuning); experience with Redis and Kafka. Infrastructure: Comfortable in Linux/Unix environments; familiarity with Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, AliCloud, GCP) and on-premise infrastructure. Markets: Understanding of market microstructure, order lifecycle, and core trading concepts such as PnL, margin, leverage, and market risk. Mindset: Strong analytical thinking, ownership, and attention to detail; able to work effectively under pressure in a fast-paced environment; a controls mindset around data quality and reproducibility. Communication: Excellent communication and collaboration skills across business and technical teams; fluency in English required, with Chinese/Mandarin a strong plus for global, cross-functional work. Passion: Genuine interest in crypto markets, blockchain, and the broader financial industry, and a drive to keep learning new technologies. Nice to Haves Prior experience in proprietary trading, market making, quantitative research, or front-office technology at exchanges, banks, or investment institutions. Experience with execution algorithms (TWAP, VWAP, iceberg, sniper, smart order routing) and backtesting / strategy-simulation frameworks. Low-latency tooling and IPC: Aeron, Chronicle Queue, Disruptor, shared-memory messaging, Agrona Collections, Protocol Buffers, SBE. Frameworks and libraries such as Spring, Netty, and Vert.x. Modern data platforms (Spark/PySpark, Iceberg, ClickHouse, InfluxDB), workflow orchestration (Airflow, Celery), and ML tooling (MLflow, TensorFlow). Strong understanding of DeFi, blockchain, smart contracts, and crypto exchange APIs; exposure to event-contract / prediction markets. Agentic programming fluency — hands-on use of AI coding tools (e.g., Claude Code, Codex) on real production work. Risk and compliance experience; professional certifications such as CFA or FRM. Technical Environment Languages: Java 17+, Rust, Python, C++ Protocols: FIX 5.0+, WebSocket, HTTP/2, REST Stack: Spring, Netty, Aeron, Chronicle Queue, Disruptor, Kafka, Redis, etcd, MySQL, PostgreSQL, InfluxDB, ClickHouse, Iceberg, Spark Infrastructure: Linux/Unix, Docker, Kubernetes, CI/CD, AWS / AliCloud / GCP Team Specializations The Liquidity Platform comprises several engineering teams. Depending on your strengths and interests, you may join one of the following: Delta One – Systematic Trading: Build cross-venue liquidity and market-making strategies with deep market-microstructure and execution-optimization focus. Option Market Making: Build and operate automated option market-making strategies and pricing systems — managing volatility, greeks, and inventory risk while quoting continuously across crypto options venues. Cash OTC: Develop and own OTC trading strategies and their production environment, partnering closely with liquidity and product managers. Trading Infra Service: Build and maintain the core strategy engine and trading-infrastructure microservices on a distributed, enterprise-grade architecture. Deliver high-throughput, sub-millisecond order execution, market-data pipelines, and exchange connectivity. Data Engineering: Own the trade & position platform end-to-end — venue connectors, the Python + SQL data model, reconciliation, and data-quality controls. Risk & Analytics: Build a greenfield, next-generation risk platform — real-time risk monitoring, PnL/risk calculation, alerting, and circuit-breaking strategies. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Hybrid - Riyadh, Saudi Arabia MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. We’re building the complete data stack for AI — exascale object store, table store, agent memory, and brain: every layer of how AI stores, retrieves, and thinks over data. Hard problems with no existing answers. Bring your own. What you will do: You’ll own problems end-to-end — the kind most engineering teams never get close to. No ticket queues, no standups, no permission. Just you, the codebase, and a team of people who care as much as you do. Everyone here is an IC, an architect, or a lead — most are all three. Your Skills and Experience: Deep OS internals. Networking from the socket layer up. Strong opinions on memory, concurrency, and correctness — and the humility to revise them. You’ve debugged something no one else could reproduce.You’ve read source code not because you had to, but because it was bothering you. Key Competencies: Fluent in ≥2 languages, honest about tradeoffs You debug by understanding, not by guessing Grit: you start hard things and finish them Curiosity you genuinely can’t switch off Low ego, extremely high standards You write code the next engineer respects Operating Systems, Networking, Systems Programming, Distributed Systems, Storage Engines, Vector/Graph Retrieval, Low -Latency I/O, and Protocol Design MinIO Engineering Culture: All leads, architects and ICs — no managers Full ownership from day one, no permission needed Decisions made by the people doing the work Craftsmanship is a first-class engineering concern No sprints. No standups. No Jira. What We Offer: Health Care Plan (Medical, Dental & Vision) 401K with 3% Contribution Pre-IPO Stock Options At least 12 Public Holidays Flexible Time Off Please include a sample of your work. Examples could include a repo, write up, postmortem, We care more about the work you have done more than a resume. - Submissions without samples will not be considered Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Location: Warsaw, Mazowieckie, Poland X-FLOW is a mobile game development company established in 2018. We gained recognition after the release of Happy Color , the most popular digital coloring book and one of the most successful ad-driven mobile apps in the world. We are looking for a Flutter Developer for our flagship project, Happy Color, and for development of new projects . Key Responsibilities: Develop and maintain high-quality Flutter applications with a focus on performance, stability, and clean architecture. Implement adaptive, responsive UI and complex animations with pixel-perfect precision. Design modular and testable architectures. Identify and fix performance bottlenecks (scrolling, rendering, rebuilds). Collaborate closely with designers and backend engineers to deliver smooth UX across iOS and Android. Continuously improve code quality through reviews, refactoring, and automated testing. Requirements: 4+ years of Flutter/Dart experience with solid understanding of widget lifecycle, state management, and animation system. Strong knowledge of Flutter SDK (animations, adaptive UI, rendering, performance tuning). Proficiency in Dart (async programming, isolates, generics, mixins). Experience building custom UI components , pixel-perfect layouts , and smooth 60/120 FPS animations . Deep understanding of Bloc / Cubit / Provider and clean architectural principles (SOLID, Clean Architecture). Hands-on experience with Flutter DevTools for performance profiling and optimization (scroll, rebuilds, memory). Ability to integrate Firebase, analytics, in-app purchases, and push notifications . Understanding of Android/iOS ecosystems and platform channels for native integrations. Experience writing and maintaining unit and integration tests . Russian - C1/higher, English - B1+. What We Offer: Competitive salary and benefits package. Opportunity to work with a talented and passionate team in a creative and dynamic environment. Flexible working hours and remote/office work options. Career growth and professional development opportunities. A fun and inclusive company culture that celebrates diversity and creativity. Join us and let’s create great content together! When you apply for this role, we process your personal data in accordance with our Candidate Privacy Notice ( https://xflowgames.com/candidate-privacy-notice ).

Location: Global Workplace: Remote Our core mission at Railway is to make software engineers higher leverage. We believe that people should be given powerful tools so that they can spend less time setting up to do, and more time doing. Railway now powers workloads for millions of builders, and the systems underneath — usage metering, billing and payments, fraud and abuse protection, background workers, and the data pipelines that feed them all — have to scale every week. You'll be the person who architects that stack: making it fast, correct, and trustworthy at a volume that keeps growing. If you're looking to scale the backbone of an operating system for builders, we'd love to talk with you! Want to learn about our work culture? Here is a multi-part blog series that will help you see the unique ways our team works (Parts 1 https://blog.railway.app/p/how-we-work, 2 https://blog.railway.app/p/how-we-work-volume-ii, 3 https://blog.railway.app/p/how-we-work-volume-iii, and 4 https://blog.railway.com/p/how-we-work-volume-iv). ABOUT THE ROLE This is a backend-leaning role focused on scaling systems. Billing and fraud will be a focus, but your remit spans every high-throughput system at Railway — workers, queues, event pipelines, and the databases underneath them. You'll own your work end-to-end, including when a feature reaches the UI. For this role, you will: - Architect and scale the pipelines that turn raw usage into accurate, real-time billing — metering, aggregation, rating, and invoicing across millions of events, from ingestion in ClickHouse to the rating engine. - Build payment flows that are correct under concurrency and partial failure: idempotent charges, retries, reconciliation, and clean handling of provider edge cases (Stripe and beyond). - Develop fraud and abuse detection — signal collection, real-time scoring, automated mitigation — that protects platform margin without getting in legitimate users' way. - Scale the systems everything else depends on: Postgres under heavy write load, Node.js services under pressure, and long-running workflows orchestrated with Temporal where exactly-once semantics and durability actually matter. - Build TypeScript + GraphQL APIs where correctness and auditability are non-negotiable. - Write Engineering Requirement Documents to take something from idea, to defined tasks, to implementation, to monitoring its success and scaling it further. - Contribute to our open-source repositories (CLI, Typescript SDK, Railpack, etc.) — Rust experience, or the desire to learn it, helps here. - Be oncall from time to time. Some projects this team takes on: - Re-architect billing end-to-end: per-second usage metering at platform scale, idempotent payment processing that survives provider outages without double-charging, and credit, prepayment, and enterprise-invoicing models that hold up under audit. - Stand up a fraud-detection service that scores signups and deployments in real time and automatically throttles abuse (crypto mining, free-tier farming, stolen cards). - Scale our Temporal workloads to orchestrate workflows across millions of deployments. - Build internal tooling that gives teams across Railway a trustworthy, real-time view into the systems they depend on. This is a high impact, high agency role with direct effect on company culture, trajectory, and outcome. ABOUT YOU - An ability to autonomously lead, design, and implement backend systems where correctness, consistency, and auditability are first-class requirements. - A track record of scaling systems — you've taken a pipeline, service, or database that was falling over and made it handle 10x, and you know which tools to reach for (and when polling stops being enough). - Deep expertise in Postgres and relational data modeling — you reach for the right consistency guarantees, understand the cost of getting them wrong, and know how Postgres itself behaves at scale. - Strong working knowledge of Node.js internals — the event loop, memory behavior, and what to do when a service degrades under load. - Experience managing complex asynchronous and long-running backend jobs, ideally with a workflow engine like Temporal, for things like billing runs or payment reconciliation. - Familiarity with the realities of money movement: payment providers, idempotency, retries, reconciliation, and their failure modes. Direct billing, payments, or fraud experience is a strong plus. - A security and abuse-aware mindset — you instinctively think about how a system can be gamed, and you design accordingly. - A desire to be a part of the entire project development process, from research gathering and planning, to implementation and monitoring. - Great written and verbal communication skills for expressing ideas, designs, and potential solutions in a mostly-asynchronous manner. We value and love to work with diverse persons from all backgrounds. THINGS TO KNOW For better or worse, we're a startup; our team dynamics are different from companies of different sizes and stages. - We're globally distributed—and getting more so. Stuff is always happening somewhere. - We don't expect you to be online all the time, but you'll need to be diligent about your boundaries — your end of day will overlap with someone else's start. - We're a small, high-ownership team that cares deeply about doing exceptional work. We're scaling quickly, which means we rely on leverage—systems over coordination, judgment over process. Expect ambiguity and a fast-moving environment. - You'll own real outcomes. That means making decisions, not just executing—and owning the success, or failure, that comes with them. BENEFITS AND PERKS At Railway, we provide best in class benefits. Great salary, full health benefits including dependents, strong equity grants, equipment stipend, and much more. For more details, check back on the main careers page https://railway.com/careers. Beyond compensation, there are a few things that we believe make working at Railway truly unique: - Autonomy: We have very few meetings. Just a Monday and a Friday to go over the Company Board. We think your time is sacred, whether it's at work, or outside of work. - Ownership: We're a company with a high ownership, high autonomy culture. We hope that you'll come in, help us, and over the course of many years do the best work of your life. When we bring you onboard, we expect you to change the company. - Novel problems/solutions: We're a startup that's well funded, with cool problems, which lets us implement novel solutions! We abhor "busywork" and think, whether it's community, engineering, operations, etc there's always opportunity for creative and high leverage solutions. - Growth: We want you to grow with us, but we know that talent is loaned, so when you figure out what area you want to grow in next, whether it's at Railway or outside, we'll make sure you land there. HOW WE HIRE No tricks. No surprises. Here's the entire process. 1 — Talk with us about the role This is completely open ended and we're just trying to see who you are, what you want to do, and where you wanna go. 2 — Work on a small project to discuss in the interview Asynchronously design a system that scales. You choose the domain — pick whichever shows your thinking best: - A usage metering and billing pipeline that meters CPU/RAM for millions of workloads and bills accurately (you may depend on third parties such as Stripe), or - A stream-processing system that ingests high-cardinality observability events in real time, or - Whatever you pick, come ready to defend the architecture end-to-end. We'll dig into: - Polling vs. stream processing, and how you avoid losing data when streaming - Correctness under concurrency and partial failure: idempotency, retries, reconciliation, what happens when a step fails halfway through - How you handle cardinality, and which tools you lean on and why - The scalability of the things you depend on — what happens when Postgres becomes the bottleneck - Interview Structure to expect (60 Minutes): - Prework (submitted before your interview): Your design - 0–5 minutes: Introductions - 5–35 minutes: Walking through the design and how you'd extend it — new failure modes, 10x load, a fraud signal - 35–50 minutes: Noodling on technology, data modeling, and how you think about scale, money-movement, and abuse - 50–60 minutes: Time for you to ask your interviewers questions You can, and SHOULD! ask us questions ahead of time. Ask away! 3 — Review your solution with the Team You'll sit down with someone on the team and go over the above. We'll poke into your solution, as well as get you acquainted with two more members of the team. Looking for: Learn about your problem solving skills. How you break down a problem and how you present a solution. 4 — Meet the Team You'll meet the Team, which will be comprised of 4 people from vastly different sections of the company. Looking for: How you work with the rest of the team and communicate. 5 — Chat with CEO Sit down with our founder and CEO for 30 minutes. This is a 1:1, open ended conversation. 6 — Offer call Finally, we will present the offers, hammer out the details about your position, tee up onboarding, and start our journey together. Final Note: The interview goes both ways. Once again, please ask us things. Many things! Hard things. That's what we're here for.

Location: United States SingleStore is looking for an accomplished sales professional to join our Sales Team. AI is moving from experimentation into production, and this role is an opportunity to break into AI while doing meaningful enterprise selling. As an Account Executive, AI Hunter, your job is simple: create new SingleStore customers. You will find companies building AI applications where data access, real-time context, memory, retrieval, or operational scale is becoming a constraint—and turn those challenges into new SingleStore customers. You will own a broad territory, build a majority self-sourced pipeline, create demand in an emerging category, and close greenfield enterprise opportunities. This is a true hunting role. You will engage customers before they have a defined project, develop customer-specific points of view, create urgency around business and technical problems, work with technical experts to land first production workloads, and build a measurable new-logo business with broad ownership. The ideal candidate is a measurable enterprise hunter who is competitive, curious, technically credible, resilient, and able to sell business outcomes. Direct AI sales experience is valuable, but proven selling ability and technical curiosity matter more than a narrow “AI seller” title. Role and Responsibilities Build and execute a territory strategy for net-new customer acquisition. Prospect fearlessly across a broad account universe using proactive, persistent outbound, account-based, partner, and market-education motions; stay resilient and effective through rejection and ambiguity. Form account hypotheses, map the buying center, and earn first meetings with relevant points of view tailored to the customer. Engage executive, business, technical, security, and procurement stakeholders. Lead great business-first discovery, connect AI and data challenges to fundable goals, and build quantified ROI, TCO, or operational-impact cases. Build and develop champions, multi-thread the buying group, earn executive and economic-buyer access, and maintain stakeholder alignment; own the stakeholder plan, mutual action plan, close plan, value case, stage gates, forecast, and commercial outcome. Lead complex sales cycles through technical validation, security, legal, procurement, negotiation, and close. Partner with Solutions and Forward Deployment Engineers and cross-functional teams to validate technical fit and establish the first production workload. Navigate competitive displacement and maintain disciplined activity management, CRM hygiene, reporting, qualification, forecasting, and opportunity management; showcase clear metrics such as pipeline created, meetings, conversion, quota attainment, and new-logo performance. Be AI fluent: use AI and research tools productively and responsibly while applying judgment, validating outputs, and separating facts from hypotheses. Travel within the assigned territory as required. Required Skills and Experience 5+ years of quota-carrying B2B enterprise software sales experience, ideally selling to large or technically sophisticated organizations; experience in data, cloud, analytics, AI, or adjacent technical domains is a plus. Repeated, quantified quota success with clear ownership of new-logo wins and self-sourced pipeline. Experience closing complex, multi-stakeholder deals involving executives, technical evaluators, security, legal, finance, procurement, and partners. Ability to sell measurable business outcomes and build ROI, TCO, or operational-impact cases. Technical fluency in an adjacent domain such as databases, data infrastructure, analytics, AI/ML, cloud, Kubernetes, developer tools, cybersecurity, observability, or open-source software. Strong qualification, account planning, forecasting, CRM, negotiation, and deal-management skills. Learning velocity and coachability, demonstrated through specific behavior change after feedback; ability to explain technical concepts clearly to technical and executive audiences. Executive presence, customer trust, resilience, intellectual honesty, and excellent communication skills. B.A., B.S. degree or equivalent in a related field. Experience with Fortune 500 or security-sensitive organizations, cloud ecosystems, open-source or consumption-based products, or emerging categories is preferred. (SLS00323) Remote-US To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company. SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. Certain roles are also eligible for additional rewards, including merit increases and annual bonuses. SingleStore’s base salary range for this role is $90,000 to $150,000  with annual target earnings of $180,000 to $300,000 at quota with significant accelerators for overperformance. For candidates residing in California, please see our California Recruitment Privacy Notice . For candidates residing in the EEA, UK, and Switzerland, please see our EEA, UK, and Swiss Recruitment Privacy Notice.

Location: London, England, United Kingdom About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About Fanatics Markets: Fanatics Markets is the real-money prediction and trading app where you can invest in moments you care about. Built on a secure platform, we let users predict real-world outcomes and trade on events they actually follow - from sports and entertainment to political elections and beyond. Our mission is to redefine how fans engage with the moments and markets that matter most. We're looking for the right people to help us build the future of prediction markets. Overview: Fanatics recently acquired a CFTC-registered Designated Contract Market and Derivatives Clearing Organisation, giving Fanatics Markets its own fully regulated exchange and clearinghouse infrastructure. We are now building the engineering team that will run it. This Senior Software Engineer (Backend) role sits at the heart of that build. You will have significant ownership over the core exchange platform, working on the systems that power order processing, market data distribution, trade lifecycle management and regulatory reporting for a CFTC-regulated exchange. The engineering challenges are those of any serious regulated trading environment, high-availability, low-latency, mission-critical infrastructure, but built for a consumer audience with the reach and distribution of Fanatics behind it. You will be joining a team modernising an existing Java codebase and building new services in Java, working alongside engineers with deep backgrounds in regulated financial infrastructure. You will be joining a team with a clear ambition: to bring this platform to the bleeding edge of financial infrastructure. This is not a clean slate but the technical ambition is real, and engineers who join now will have a level of architectural influence and ownership that is hard to find anywhere else. We are pioneering the use of AI as a code collaborator. We need engineers who have gone beyond experimentation and who actively use Claude Code, Codex, GitHub Copilot, or similar tools to ship production code faster while maintaining exceptional quality standards. Responsibilities: Lead the design, development, testing, and deployment of high-performance, fault-tolerant distributed backend services supporting the FMX exchange platform. Own services and features end-to-end: spec writing, implementation, instrumentation, deployment, monitoring, and iteration based on metrics. Work within and help modernise the existing Java codebase while contributing to new service development in Java and potentially Kotlin. Contribute to the architecture for order processing, market data distribution, and trade lifecycle management on a CFTC-regulated exchange. Build and maintain reliable daily reporting pipelines, ensuring data integrity and full audit trails across all trading activity. Participate in 24/7 on-call rotations, contribute to SLO definition, alerting strategy, and incident response for mission-critical trading infrastructure. Model and manage data for contracts, orders, positions, and settlements with an emphasis on correctness, integrity, and regulatory auditability. Collaborate with the DevOps/Platform team to ensure services are observable, scalable, and compliant with MNPI and insider trading restrictions. Conduct thorough code reviews, raising the bar on code quality, readability, security, and maintainability. Leverage AI tools to accelerate development velocity while maintaining high standards for security, correctness, and regulatory compliance. Establish and document team standards for AI usage, prompt patterns, code review checklists, and validation strategies. Contribute to a fast-paced environment, unblocking others and taking initiative where processes are still being defined. Qualifications: 5+ years of experience building highly scalable, high-performance backend applications or distributed systems. Background in regulated exchange or financial infrastructure strongly preferred, brokerage, futures or derivatives exchanges (e.g. CBOE, CME, ICE), market makers, or hedge funds with relevant trading infrastructure experience, or similar CFTC/SEC-regulated environments. Strong production experience with Java; Kotlin experience a plus. Experience with event-driven architectures (Kafka, Kinesis, PubSub, or similar) in a financial or high-throughput context. Strong understanding of data integrity and transaction management in PostgreSQL or equivalent RDBMS, including financial-grade data modelling. Solid grasp of software design principles (SOLID, DRY) and testing methodologies (unit, integration, end-to-end). Familiarity with CFTC compliance requirements, MNPI handling, and audit trail obligations in a regulated trading environment. Experience with CI/CD pipelines, automated testing, and safe deployment practices for backend services. Production reliability experience: monitoring, logging, alerting, on-call, and SLO definition. Demonstrated experience using AI tools (Claude Code, Cursor, Copilot, etc.) to ship production code; able to articulate specific workflow improvements. Communicates complex technical concepts clearly to engineering, compliance, and business stakeholders. Thrives in a fast-paced, high-growth environment where priorities evolve and decisions are made quickly. Preferred Qualifications: Previous experience at a US-regulated financial exchange or licensed trading platform (e.g. CBOE, CME, or similar). Familiarity with low-latency trading systems, order book design, or market data infrastructure. Experience with low-latency in-memory systems and the performance engineering techniques required to operate them at scale. Experience with Aeron or similar high-performance messaging frameworks used in financial trading environments. Experience modernising legacy Java codebases in a financial services context. Previous experience in a high-growth or scale-up environment. Contributions to open-source projects or the technical community. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE, a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connections and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. Ready to build the future of regulated prediction markets? If you possess some of these skills but not all of them, we still encourage you to apply! Please note that visa sponsorship is not available for this position. We are open to fully remote candidates based in the United Kingdom. Remote employees may also be eligible for a home office setup stipend. By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

GTE is the world’s fastest decentralized trading venue, backed by GSR, IMC, Flow Traders, and other top-tier market makers and VCs. The company offers trading from anywhere in the world, 24/7, permissionless, with no brokerage account required. The team includes talent from Jump, Citadel, HRT, GSR, Google, Palantir. Задачи: — Design low-latency ingestion pipelines, ensuring message ordering, deduplication, and backpressure handling. — Implement consensus-based failover and snapshotting for resilience and leader coordination. — Manage memory layout, allocation strategy, and hot-path locality. — Coordinate with infrastructure team to handle data persistence, cold storage, and historical reindexing. Требования: — Remarkable backend engineering experience in production environments in Rust or C++. — Strong grasp of distributed systems design: log replication, failure recovery, snapshotting, consensus (Raft/Paxos). — Deep familiarity with event-driven architectures: ordered delivery, deduplication, replay, state machines. — Experience with high-throughput async systems such as tokio, epoll, io_uring. — Proficient with memory-safe performance tuning: preallocation, arena allocators, cache-line alignment. — Comfortable working close to the metal: Linux internals, syscall-level tuning, and debugging with perf. Плюсом будет: — Experience with Go in production environments. — Prior work on crypto data indexers, block explorers, or DeFi. — Knowledge of low-level blockchain primitives (e.g., Merkle proofs, EVM logs, calldata parsing). — Contributions to open-source Rust or crypto infrastructure projects. — Exposure to consensus layer mechanics or validator/network observability. Условия: — Remote work or office in NYC (relocation help may be provided in some cases). — Salary 150-250k USD/year gross + tokens (up to 750k total compensation by current valuation).

Location: Ukraine Workplace: remote Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA. We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.   In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture. Who We’re Looking For: We are looking for an AI Software Engineer to design, build, evaluate, and operate AI-powered capabilities within the Creatio platform. This is an AI-first engineering role: you will spend most of your time designing agents, engineering prompts and context, building retrieval and evaluation pipelines, and directing AI coding agents - with solid .NET engineering as the foundation rather than the whole job. You will join the AI teams building the agent platform that enables AI agents to safely perform real work in the product: call tools and APIs, read and write data, maintain context and memory, follow permissions, and escalate to humans when needed. The team also owns the core infrastructure for evaluation, monitoring, logging, observability, and cost/performance control, ensuring AI agents are reliable, scalable, secure, and production-ready. This role combines strong software engineering expertise with hands-on AI engineering experience. You will work on enterprise-grade AI solutions, including assistants, copilots, knowledge systems, semantic search, RAG-based capabilities, and agentic workflows - and you will use AI coding agents as your primary daily development workflow. Responsibilities: Design and implement AI-powered product features within the Creatio platform: assistants, copilots, agentic workflows, knowledge systems, RAG, and semantic search. Design agent architectures - tools, memory and context strategy, orchestration, permissions, guardrails, and human-in-the-loop escalation - and choose the right pattern for each problem (single LLM call vs. tool-using agent vs. multi-agent). Engineer prompts, system instructions, and agent context as first-class artifacts: versioned, reviewed, and covered by evaluations. Integrate LLM providers, MCP servers and tools, enterprise data sources, embedding pipelines, and vector/hybrid search into the platform. Build evaluation datasets, offline and online evals, quality gates, and observability (tracing, logging, drift detection) for AI capabilities. Monitor and improve the quality, latency, cost, reliability, and security of AI capabilities in production, including prompt and model updates. Identify and mitigate AI-specific risks: prompt injection, data exfiltration through tools, hallucinations, over-permissioned agents, and sensitive-data leakage. Develop and maintain backend services using C# and .NET. Use AI coding assistants and engineering agents as the default development workflow; critically review and verify agent output; contribute reusable rules, skills, and prompts to the team. Follow the AI landscape closely and bring new models, tools, and patterns to the team. Requirements: Must have: Hands-on experience shipping LLM-based features to production: prompt engineering, function/tool calling, structured outputs, context-window and cost management. Practical understanding of agent architectures (tool loops, planner/executor, multi-agent, human-in-the-loop), MCP, and at least one agent framework or SDK. Working knowledge of RAG: chunking, embeddings, vector and hybrid search, re-ranking, grounding and citations, and common failure modes. Experience with AI evaluation (datasets, offline evals, LLM-as-judge), LLM observability and tracing, and AI security (prompt injection, OWASP Top 10 for LLM Applications, Responsible AI practices). Daily proficiency with AI coding agents: the ability to direct, review, and verify agent output rather than only write code by hand. Solid experience with C# and .NET, API design, distributed systems, and software architecture. Experience with SQL databases, automated testing, CI/CD, and cloud-native development; Docker and basic Kubernetes. Strong knowledge of engineering best practices and production-grade software development. Nice to have: Python for prototyping, data work, and evaluation scripting. Hands-on experience with a major AI platform (Anthropic API, Azure OpenAI, AWS Bedrock, Google Vertex AI). Experience building agent-facing tools or MCP servers. LLMOps practices: prompt and model versioning, evaluation gates in CI/CD, canary rollouts of prompt changes. Fine-tuning, distillation, or adapter-based model customization. Experience with Creatio or other low-code CRM platforms. What to expect from us: Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential. Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally. Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one. Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve. Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: Poland Workplace: remote Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA. We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.   In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture. Who We’re Looking For We are looking for an AI Software Engineer to design, build, evaluate, and operate AI-powered capabilities within the Creatio platform. You will join the AI teams building the agent platform that enables AI agents to safely perform real work in the product: call tools and APIs, read and write data, maintain context, follow permissions, and escalate to humans when needed. The team also owns the core infrastructure for testing, monitoring, logging, observability, and cost/performance control, ensuring AI agents are reliable, scalable, secure, and production-ready. This role combines strong software engineering expertise with hands-on AI engineering experience. You will work on enterprise-grade AI solutions, including assistants, copilots, knowledge systems, semantic search, RAG-based capabilities, and agentic workflows. Responsibilities: Design and implement AI-powered product features within the Creatio platform: assistants, copilots, agentic workflows, knowledge systems, RAG, and semantic search. Design agent architectures - tools, memory and context strategy, orchestration, permissions, guardrails, and human-in-the-loop escalation - and choose the right pattern for each problem (single LLM call vs. tool-using agent vs. multi-agent). Engineer prompts, system instructions, and agent context as first-class artifacts: versioned, reviewed, and covered by evaluations. Integrate LLM providers, MCP servers and tools, enterprise data sources, embedding pipelines, and vector/hybrid search into the platform. Build evaluation datasets, offline and online evals, quality gates, and observability (tracing, logging, drift detection) for AI capabilities. Monitor and improve the quality, latency, cost, reliability, and security of AI capabilities in production, including prompt and model updates. Identify and mitigate AI-specific risks: prompt injection, data exfiltration through tools, hallucinations, over-permissioned agents, and sensitive-data leakage. Develop and maintain backend services using C# and .NET. Use AI coding assistants and engineering agents as the default development workflow; critically review and verify agent output; contribute reusable rules, skills, and prompts to the team. Follow the AI landscape closely and bring new models, tools, and patterns to the team. Requirements: Must have: Hands-on experience shipping LLM-based features to production: prompt engineering, function/tool calling, structured outputs, context-window and cost management. Practical understanding of agent architectures (tool loops, planner/executor, multi-agent, human-in-the-loop), MCP, and at least one agent framework or SDK. Working knowledge of RAG: chunking, embeddings, vector and hybrid search, re-ranking, grounding and citations, and common failure modes. Experience with AI evaluation (datasets, offline evals, LLM-as-judge), LLM observability and tracing, and AI security (prompt injection, OWASP Top 10 for LLM Applications, Responsible AI practices). Daily proficiency with AI coding agents: the ability to direct, review, and verify agent output rather than only write code by hand. Solid experience with C# and .NET, API design, distributed systems, and software architecture. Experience with SQL databases, automated testing, CI/CD, and cloud-native development; Docker and basic Kubernetes. Strong knowledge of engineering best practices and production-grade software development. Nice to have: Python for prototyping, data work, and evaluation scripting. Hands-on experience with a major AI platform (Anthropic API, Azure OpenAI, AWS Bedrock, Google Vertex AI). Experience building agent-facing tools or MCP servers. LLMOps practices: prompt and model versioning, evaluation gates in CI/CD, canary rollouts of prompt changes. Fine-tuning, distillation, or adapter-based model customization. Experience with Creatio or other low-code CRM platforms. What to expect from us: Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential. Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally. Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one. Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve. Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: New York Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally. As a Senior Mobile Cross-Platform Engineer at Via, you'll be a core member of the rider mobile team, owning the mobile experience that millions of riders depend on every day - from booking rides and managing accounts to the underlying mobile infrastructure that makes it all work seamlessly. You'll work across both native Android and iOS and our cross-platform Flutter codebase, collaborating closely with designers, backend engineers, and product managers who care deeply about the quality of what they ship. If you're a mobile engineer who takes pride in building polished, high-performance experiences across platforms and wants to see your work used at real scale, this is the role for you. **This is a hybrid position with the expectation that you will be onsite in NYC 2-3 days a week.** About the Role: Collaborate closely with designers, backend engineers, and product managers in order to deliver our high-quality, user-friendly rider application Own the development and continuous improvement of Via's rider mobile apps across platforms - building new features across booking, account management, and the core rider journey while keeping the experience fast, reliable, and intuitive. Work primarily in Flutter for cross-platform development while contributing to native Android and iOS codebases where needed, making pragmatic decisions about when to go cross-platform and when to go native Architect and evolve the mobile infrastructure services that power Via's apps, making thoughtful decisions about app architecture patterns, performance optimization, and memory management that the whole team benefits from Diagnose and resolve critical production issues under pressure, minimising disruption to riders and acting as a key line of defence when things go wrong in live environments Mentor and guide engineers on the team - sharing your expertise across platforms, reviewing code thoughtfully, and helping others grow About You: 5+ years of mobile development experience, with strong hands-on experience in cross-platform frameworks - Flutter experience is a strong advantage - alongside solid native development experience in Android (Kotlin) or iOS (Swift) Comfortable working across both cross-platform and native codebases, with a good instinct for when each approach is the right tool for the job Strong grasp of mobile app architecture patterns, performance optimization, and concurrent programming - whether that's Kotlin Coroutines, Swift’s async-await, or Dart's async patterns in Flutter Experienced with mobile frameworks including Location Services and Google Maps API, and familiar with third-party mapping tools such as Mapbox A natural collaborator and mentor - you take ownership of your work, share knowledge generously, and make the engineers around you better Proactive and genuinely curious about new technologies - you don't wait to be told what to improve, and you bring energy and ideas to the team Compensation and Benefits (US only) Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable. Salary Range: $160,000 - $200,000 We are proud to offer a generous and comprehensive benefits package, including free medical plans, 401K matching, catered lunch on Wednesdays, and many other perks. There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride? Via is an equal opportunity employer.

Location: New York Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally. As a Senior Android Engineer at Via, you'll be a core member of the rider mobile team, owning the Android experience that millions of riders depend on every day — from booking rides and managing accounts to the underlying mobile infrastructure that makes it all work seamlessly. You'll work on a product that has real, tangible impact on how people move through their cities, collaborating closely with designers, backend engineers, and product managers who care deeply about the quality of what they ship. If you're an Android engineer who takes pride in building polished, high-performance mobile experiences and wants to see your work used at real scale, this is the role for you. **This is a hybrid position with the expectation that you will be onsite in NYC 2-3 days a week.** About the Role: Collaborate closely with designers, backend engineers, and product managers in order to deliver our high-quality, user-friendly rider application Own the development and continuous improvement of Via's rider Android app - building new features across booking, account management, and the core rider journey while keeping the experience fast, reliable, and intuitive Architect and evolve the mobile infrastructure services that power Via's apps, making thoughtful decisions about app architecture patterns, performance optimization, and memory management that the whole team benefits from Diagnose and resolve critical production issues under pressure, minimising disruption to riders and acting as a key line of defence when things go wrong in live environments Mentor and guide engineers on the team - sharing your expertise in Android development, reviewing code thoughtfully, and helping others grow About You: 5+ years of hands-on Android development experience, with deep proficiency in Kotlin and strong knowledge of the Android application lifecycle - activities, fragments, view models, and services Strong grasp of Android app architecture patterns, Jetpack Compose, and RESTful APIs. Expertise in performance optimization, memory management, and debugging complex issues. Knowledge of concurrent programming using Kotlin Coroutines or RxJava Experienced with Android frameworks including Location Services and Google Maps API, and familiar with third-party mapping tools such as Mapbox A natural collaborator and mentor - you take ownership of your work, share knowledge generously, and make the engineers around you better Proactive and genuinely curious about new technologies - you don't wait to be told what to improve, and you bring energy and ideas to the team Compensation and Benefits (US only) Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable. Salary Range: $160,000 - $200,000 We are proud to offer a generous and comprehensive benefits package, including free medical plans, 401K matching, catered lunch on Wednesdays, and many other perks. There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride? Via is an equal opportunity employer.

Location: Bellevue Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? As a Principal Applied Scientist, you will lead the architecture, research, and productization of these next-generation ML systems, bridging deep research with deployment at scale and shaping the future of enterprise automation. What You Will Do • Define and drive technical strategy for agent-based automation, including how autonomous agents use LLMs, reinforcement learning, simulation environments, tool use, and multi-step reasoning to integrate with the UiPath platform. • Architect, prototype, and deploy advanced ML and AI systems, covering LLM fine-tuning, multimodal pipelines, computer-use modeling, agent orchestration frameworks, and decision-making systems. • Lead the design and implementation of ML infrastructure and services for model training, fine-tuning, large-scale inference, model serving, monitoring, drift detection, continuous learning loops, and ML operations for agentic systems. • Partner closely with product, engineering, design, and go-to-market teams to translate research advances into customer-facing capabilities. • Research state-of-the-art techniques in prompting, retrieval-augmented generation, chain-of-thought, tool use, long-term memory, and RL or imitation learning for agent behavior, and apply them to automation workflows. • Establish best practices, frameworks, and metrics for evaluating agentic systems, including offline evaluation, simulation environments, human-in-the-loop feedback, A/B testing, and cost, latency, and quality analysis. • Serve as a technical leader and mentor across ML engineering, data science, and software engineering, fostering a culture of experimentation, reproducibility, versioning, and rigorous evaluation. • Represent UiPath in the broader community through publications, open-source contributions, conference participation, and collaboration with academia or ecosystem partners. What We Are Looking For • Advanced degree (MS or PhD preferred) in Computer Science, Machine Learning, AI, or a related field, or equivalent experience. • 10+ years of industry experience in machine learning, including substantial experience building and operating ML systems in production. • Deep expertise in modern ML frameworks and libraries, strong proficiency in Python, and experience integrating ML models into large-scale software systems. • Proven experience with large language models or foundation models, including fine-tuning, data preparation, inference optimization, or model evaluation. • Experience with large datasets, distributed training or inference, scalable architecture design, and optimization for latency, throughput, and cost. • Excellent communication skills with the ability to translate complex ML concepts to product and business audiences. • Demonstrated technical leadership in mentoring, influencing strategy, balancing research with delivery, and driving high-impact outcomes. #LI-MH1 Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: Remote - Colombia ; Remote - Costa Rica ; Remote - Mexico Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud - managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We are seeking a Sr. AI Security Engineer to join our team! About The Role Backblaze is seeking a Senior AI Security Engineer to design and implement safeguards for internal AI usage , with a focus on agentic systems, developer protection, and runtime security . This is a hands-on role for a practitioner who has built and deployed security controls , not just defined policy. You will enable teams to safely use AI by creating enforcement layers, identity controls, and detection capabilities that constrain and monitor AI-driven activity. What You’ll Do: Agentic AI Safeguards Architect and implement guardrails for tool-using AI systems , including: Tool access controls and allowlists Context and memory isolation Step-level validation of agent actions Apply mitigations aligned to the OWASP Agentic AI Top 10 (e.g., prompt injection, unsafe tool use, data leakage, excessive autonomy) Runtime Security Controls Build enforcement mechanisms that govern AI behavior at execution time: Interceptors, proxies, or middleware for tool/API calls Policy decision and enforcement layers Rate limits, execution bounds, and kill-switches Prevent unsafe or unauthorized actions initiated by AI systems Non-Human Identity (NHI) Design and implement identity and access controls for agents and automation , including: Short-lived credentials and scoped permissions Clear separation between human and non-human access Strong binding of identity to task context and execution Ensure all AI actions are attributable and auditable Observability & Detection Implement logging and tracing for AI activity : Prompts, tool usage, and decision flows Build detection capabilities using: Behavioral baselining and anomaly detection techniques Identify and alert on: Abnormal tool usage Suspicious prompt patterns Unexpected data access Threat Modeling (MAESTRO) Perform agentic system threat modeling using MAESTRO , including: Mapping agent capabilities, trust boundaries, and attack paths Modeling misuse and adversarial scenarios Translate findings into practical safeguards and detection logic Developer Safeguards Protect developers using AI tools by: Preventing sensitive data exposure Validating AI-generated code and actions Constraining unsafe automation Enable safe usage of AI-assisted development tools (e.g., Claude Code, Codex, Cursor ) with: Security validation layers Controlled prompting and output handling patterns The Right Fit: 7+ years in security engineering or backend systems Proven experience designing and deploying security controls , such as: Runtime enforcement layers (proxies, middleware, policy engines) Identity and access systems, especially for non-human entities Strong programming skills (Python preferred; Go, Java, or TypeScript a plus) Experience using AI-assisted development tools such as Claude Code in real workflows, including understanding associated security risks and safeguards Experience with: Logging, monitoring, and detection systems Building or securing API/service interactions Practical familiarity with: Agentic AI systems or tool-integrated LLM workflows OWASP guidance for AI/agent risks Practitioner Knowledge Experience applying (not just referencing): OWASP Agentic AI / LLM risk guidance NIST AI RMF concepts in real systems CSA guidance on workload and machine identity Strong understanding of: Zero Trust for non-human identities Secrets management and credential scoping Observability tooling (e.g., OpenTelemetry, ELK) Bonus Points For: Experience securing internal AI platforms or developer-facing AI tools Background in detection engineering, threat hunting, or adversarial testing Familiarity with agent frameworks (e.g., LangChain, LlamaIndex) Experience mentoring engineers and guiding secure design At this point, we hope you're feeling excited about the job description you're reading. Even if you don't meet every requirement, we still encourage you to apply. Learning, developing, and growing are key parts of our culture. We're eager to meet people who believe in our mission and can contribute to our team in various ways. We want people to feel comfortable expressing their true selves and to come, stay, and do their best work here. At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice. #LATAM

Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Design at Ramp looks very different than it did a year ago: we’re building tools and agents, designing memory, shipping PRs, and rethinking the process every few months as new capabilities unlock. A few things have not changed, the role of design is to distill problems to their essence, obsess over craft and delight where it matters most, know customers deeply and advocate for them, lead with creativity and storytelling, and keep it fun, because a product built with joy always wins. We're looking for a Director of Product Design to lead a team of builders across some of our highest-priority bets. This role is for you if you’re excited by: - Leading through craft, setting vision and unlocking customer impact: you will define where a product should go, then jump into the details with the team to unblock, teach, and ship. You raise the bar through product judgment, design craft, and your ability to make everyone around you better. - Actually shipping and demonstrating real impact: You'll start by owning a product area and team to build trust and get your bearings at Ramp, with room to take on broader leadership over time. You'll stay close to customers and ship meaningful work alongside your designers, product managers and engineers. - Building the environment where great work comes from: clear roles, high standards, low ego, and just enough structure to keep the bar high without slowing people down. That means building a caring yet demanding structure, investing deeply in people — coaching, feedback, growth — so designers can do the best work of their careers and develop in this new age of Design. It’s never been a more interesting time to build. Please note that this role will require you to be comfortable with working in-person at our NYC HQ (located near Madison Square Park) at least 3 days/week. WHAT YOU’LL DO - Lead and grow a high-performing team of product designers - Own product vision and design direction across critical product areas - Partner with product and engineering to shape strategy and deliver customer impact - Stay close to customers and use their feedback to guide product decisions - Jump into the work when needed to unblock teams and accelerate progress - Create clarity, raise quality, and help teams ship faster - Raise the bar for product thinking, interaction design, systems thinking, and craft - Coach designers through clear feedback, high standards, and strong mentorship - Help define how design works in an AI-native world - Build strong partnerships across product, engineering, data, and design WHAT YOU NEED - Experience leading and developing high-performing product design teams - Strong product judgment, design craft, and systems thinking - Track record of shipping products with meaningful customer and business impact - Deep customer empathy and comfort operating in ambiguity - Ability to influence across functions and develop exceptional talent - Curiosity that borders obsession over how AI changes the nature software and how we work NICE TO HAVES - Founder or early-stage startup experience - Experience designing AI-native, automation, or agentic systems - Experience building workflow or operations tooling - Experience leading managers or multi-layered teams - Comfort working closely with technical teams on implementation details BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice