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Location: Yerevan, Armenia; Brisbane, Australia; Melbourne, Australia; Sydney, Australia; Wien, Austria Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Keet is a fully peer-to-peer messaging and video calling app built on Holepunch's P2P stack. There are no servers, no middlemen, and no data harvesting. People talk directly to each other, with end-to-end encryption by design. We're taking Keet to a billion users, competing head-on with WhatsApp and Telegram. Product sets the direction. We're looking for a Product Engineering Lead to turn that direction into features people love, built to a standard that holds up at global scale. You lead the teams that build Keet's features: the API team, which adds feature-focused APIs to Keet's core, and the frontend team, which builds the React app on top, each with its own lead. You report directly to the CTO and take direction from product. Product owns the what and the why. You own the how and the engineering bar. The split is roughly 70% engineering leadership and 30% product. You're a combination of three things. You're an engineering leader who has helped teams ship consumer products at speed. You have real product sense and can partner with PMs as an equal, shaping what gets built, not just executing it. And you have an intuition for distributed, local-first systems, so you can work fluently on top of a P2P engine without needing to build it yourself. Responsabilities Engineering Run the API and frontend teams day to day: unblocking, reviewing, and keeping them shipping. Set and hold a high engineering bar for performance, reliability, and clean APIs. Own the technical design of features and the API surface between Keet's core and the app. Make sure the API team works closely with our deep tech teams on code reviews, design, and anything that touches the engine. Product Partnership Work alongside Keet's product managers to turn vision and roadmap into scoped, buildable work. Push back when scope and reality don't match, and propose better paths when they exist. Bring an engineering perspective to product decisions, especially where P2P opens doors that centralized apps can't. Help the team move fast, using AI tools and quick prototypes to validate ideas before committing to them. Leadership Create clarity around team goals and make sure everyone knows what success looks like. Mentor team leads to build strong team operating systems, improve how their teams work with others, and grow as leaders. Lead by example: roll up your sleeves when the team needs it, and step back when they're ready to own it. Experience managing engineers or engineering leads who ship consumer product, ideally in chat, calling, or social apps. Strong product sense: you can tell a good feature from a busy one. Intuition for distributed and local-first systems. Offline-first and eventual consistency should feel natural. You don't need P2P protocol expertise, because our core abstracts it away. Deep JavaScript and React. Initiative, curiosity, resilience, and the ability to give and receive direct critique. Bonus: experience with local-first apps, CRDTs or sync engines, offline-capable mobile or desktop apps, or open source.

Location: Andorra la Vella, Andorra; Tiranë, Albania; Yamoussoukro, Côte d'Ivoire Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Keet is a fully peer-to-peer messaging and video calling app built on Holepunch's P2P stack. There are no servers, no middlemen, and no data harvesting. People talk directly to each other, with end-to-end encryption by design. We're taking Keet to a billion users, competing head-on with WhatsApp and Telegram. Product sets the direction. We're looking for a Product Engineering Lead to turn that direction into features people love, built to a standard that holds up at global scale. You lead the teams that build Keet's features: the API team, which adds feature-focused APIs to Keet's core, and the frontend team, which builds the React app on top, each with its own lead. You report directly to the CTO and take direction from product. Product owns the what and the why. You own the how and the engineering bar. The split is roughly 70% engineering leadership and 30% product. You're a combination of three things. You're an engineering leader who has helped teams ship consumer products at speed. You have real product sense and can partner with PMs as an equal, shaping what gets built, not just executing it. And you have an intuition for distributed, local-first systems, so you can work fluently on top of a P2P engine without needing to build it yourself. Responsabilities Engineering Run the API and frontend teams day to day: unblocking, reviewing, and keeping them shipping. Set and hold a high engineering bar for performance, reliability, and clean APIs. Own the technical design of features and the API surface between Keet's core and the app. Make sure the API team works closely with our deep tech teams on code reviews, design, and anything that touches the engine. Product Partnership Work alongside Keet's product managers to turn vision and roadmap into scoped, buildable work. Push back when scope and reality don't match, and propose better paths when they exist. Bring an engineering perspective to product decisions, especially where P2P opens doors that centralized apps can't. Help the team move fast, using AI tools and quick prototypes to validate ideas before committing to them. Leadership Create clarity around team goals and make sure everyone knows what success looks like. Mentor team leads to build strong team operating systems, improve how their teams work with others, and grow as leaders. Lead by example: roll up your sleeves when the team needs it, and step back when they're ready to own it. Experience managing engineers or engineering leads who ship consumer product, ideally in chat, calling, or social apps. Strong product sense: you can tell a good feature from a busy one. Intuition for distributed and local-first systems. Offline-first and eventual consistency should feel natural. You don't need P2P protocol expertise, because our core abstracts it away. Deep JavaScript and React. Initiative, curiosity, resilience, and the ability to give and receive direct critique. Bonus: experience with local-first apps, CRDTs or sync engines, offline-capable mobile or desktop apps, or open source.

Компания «Сбер» ищет middle QA инженера для работы в продукте «СберИнкассация», который создает и внедряет digital-решения для управления инкассаторскими услугами. Задачи: — Ревью системных требований — Тестирование UI/UX форм — Тестирование backend сервисов — Тестирование REST API — Проверка бизнес-логики банковских процессов — Тестирование интеграций между сервисами — Анализ сетевых запросов и логов — Проверка корректности данных в базе — Локализация дефектов на разных уровнях системы — Подготовка и актуализация тестовой документации — Участие в регрессионном тестировании — Проведение end-to-end тестирования системы Требования: — Опыт ручного тестирования от 3 лет — Опыт тестирования web-приложений — Опыт тестирования backend сервисов и API — Тестирование UI веб-приложений (React / JavaScript) — Тестирование REST API — Тестирование Kafka интеграций — Работа с Insomnia — Работа с DevTools и HAR анализом — Работа с SQL (PostgreSQL) — Работа со сниферами Fiddler/Charles Proxy — Анализ логов сервисов — Работа с OpenShift / Kubernetes — Работа с JSON Будет плюсом: — Понимание Java backend сервисов — Опыт тестирования микросервисной архитектуры — Опыт написания автотестов (Java) — Использование ИИ инструментов в работе Условия: — Комфортный современный офис рядом с м. Кутузовская — Офисный формат работы — Ежегодный пересмотр зарплаты и годовая премия — Корпоративный спортзал и зоны отдыха — Гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ — Более 400 образовательных программ СберУниверситета для профессионального и карьерного развития — Программа адаптации и помощь руководителя на старте — Расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа — Бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров.

Location: United States Workplace: Remote Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. We’re looking for a Staff Data Engineer who can take ownership of and drive key initiatives across Data Platform Engineering, including the data lake, event instrumentation, data quality, and data governance. ABOUT THE ROLE: - Location: Remote-first (United States) - Full-time - Permanent - Exempt - The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. We've structured the base pay ranges for this role into zones for our geographic markets, and the specific base pay within the range will be determined by the candidate’s geographic location, job-related experience, knowledge, qualifications, and skills. - United States  (all figures cited below are in USD and pertain to workers in the United States) - Zone A: $212,500 - $255,000 - Zone B: $200,000 - $240,000 - Zone C: $186,500 - $224,000 This role is also eligible to participate in Webflow's company-wide bonus program. Target amounts are a percentage of base salary and vary by career level. Payouts are based on company performance against established financial and operational goals.  Please visit our Careers page https://webflow.com/careers#pay-zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. - Application Information: - Application deadline: applications accepted on an ongoing basis until position is closed and filled - This posting is for an existing vacancy - Reporting to the Manager, Data Engineering As a Staff Data Engineer, you'll… - Design data solutions across batch, streaming, and real-time workloads. - Design and build reliable data pipelines using Spark, Kafka, Iceberg, and Airflow/MWAA. - Contribute to the evolution of data lake and data platform, including ingestion, processing, storage, and serving patterns. - Build, maintain and scale cloud data infrastructure that includes Kafka, Airflow, Druid, EMR on EKS with reliability and observability in mind. - Implement and improve data quality, observability, reliability, and governance across data pipelines and systems. - Define and improve standards for event instrumentation and governance, including event schemas, validation, and schema evolution. - Build platform solutions for centralized PII handling, data retention, deletion, and residency to support GDPR and CCPA requirements. - Build agent harness capabilities that encode data engineering standards, pipeline patterns, and quality gates into AI tools, enabling agents to safely generate, review, and operate on data platform code. - Contribute hands-on to complex technical initiatives, troubleshoot production issues, mentor engineers, and collaborate with Analytics Engineering and other teams. - Build agent harnesses that embed data engineering standards, pipeline patterns, and quality gates into AI-assisted development workflows. ABOUT YOU: Requirements: - BA/BS degree or equivalent experience - 5+ years of experience in data engineering, building and operating production data pipelines and platforms. - Strong experience with Spark and distributed data processing, including designing and optimizing production data pipelines. - Experience designing batch, real-time, and streaming data solutions using technologies such as Kafka, Spark Structured Streaming, and CDC. - Experience implementing data quality, observability, and reliability across production data systems. - Experience with cloud data infrastructure, CI/CD, and infrastructure-as-code. - Demonstrated experience leading complex data engineering initiatives end-to-end, from technical design and decomposition through implementation and production. - Strong Programming and SQL skills, with experience building reliable and maintainable data systems. You’ll thrive as a Staff Data Engineer if you: - Can navigate ambiguous problems, evaluate architectural tradeoffs, and make pragmatic technical decisions. - Think beyond individual pipelines and consider the end-to-end data ecosystem, from data producers through downstream consumers. - Bring experience with data governance and privacy, including PII management, retention, deletion, data residency, GDPR, or CCPA. - Bring experience with event instrumentation and governance, including event schemas, validation, and schema evolution. - Collaborate with engineers on complex technical problems and help establish practical engineering best practices. - Embrace AI and emerging technologies, applying them in your development workflow and helping the team adopt new tools through shared learnings and best practices. - Stay curious and open to growth  demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact. OUR CORE BEHAVIORS - Build lasting customer trust. We build trust by taking action that puts customer trust first. - Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act. - Reinvent ourselves. We don't just improve what exists, we imagine what's possible. - Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.   BENEFITS - Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company. - Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums. - Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions. - Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired. - Wellness for the whole you. Access to mental health resources, therapy and coaching. - Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. - Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts. - Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.   Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.   BE YOU, WITH US At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.   STAY CONNECTED Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.   PLEASE NOTE: We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.

Location: Remote USA Workplace: remote ABOUT XSOLLA Xsolla is a global video game commerce company headquartered in Los Angeles. It helps developers from indie to AAA fund, distribute, market and monetize their games, and acts as merchant of record for 1,500+ developers worldwide. For more information, visit xsolla.com. The role We are hiring a Software Engineer, Web3 for Xsolla ZK , Xsolla 's Web3 ecosystem on a zkSync-based L2. It includes: smart wallets built on account abstraction; SDKs that game studios and partners use to bring players on-chain; infrastructure backend services for tokenizing in-game items and currencies; ecosystem dApps: a DEX , an NFT marketplace and an auction. This is a senior fullstack role: you work across backend, frontend and smart contracts. WHAT YOU WILL OWN Features end to end: backend, frontend and production The on-chain / off-chain architecture of your product: what lives in contracts, what lives in services, and how the two stay consistent. You make these decisions and justify them in writing Security and correctness of what you ship: signing flows, interactions with contracts that hold user assets, keys and secrets Production operation of your services, as part of the team's on-call rotation WHAT YOU WILL DO Build backend services in Go and TypeScript: chain indexing, transaction relaying, event processing, APIs for dApps and SDKs Build infrastructure backend services for tokenizing in-game items and currencies Build dApp frontends in React: wallet connection, transaction signing, on-chain state in the UI Integrate smart wallets into products: accounts, paymasters, bundlers Develop SDKs used by game studios and partners Monitor services and contracts in production and take part in on-call Review code Set up and maintain AI tooling in the repositories (Claude Code, Codex, Cursor: rules, context, harness) so the team uses it effectively Required Experience 5+ years of commercial software development, with senior-level production experience across backend and frontend dApps that you shipped to production and maintained Web3 libraries and wallets viem and wagmi in production: clients and transports, contract reads and writes with typed ABIs, event subscriptions, wagmi hooks and connectors, caching and invalidation of on-chain state How wallet signers work: EOAs, browser and embedded wallets, smart accounts; personal_sign (EIP-191) and typed data (EIP-712); the EIP-1193 provider; network switching Hands-on experience with smart wallets: UserOperations, gas sponsored via paymasters, signature validation for contract accounts (ERC-1271) Backend Go and TypeScript (Node.js) for production services Processing on-chain events: idempotency, reorg handling, retries Asynchronous messaging and event-driven design (Kafka, RabbitMQ or NATS ): delivery guarantees, ordering, reprocessing Relational databases (PostgreSQL) and caching (Redis) Designing REST and gRPC APIs: versioning, backward compatibility Frontend React and TypeScript: rendering model, state management, performance Web security fundamentals: XSS , CSRF , CSP , safe handling of signatures and keys in the browser Smart contracts Reading and understanding Solidity contracts and the EVM (storage, gas, call semantics, proxy upgrade patterns, access control) well enough to integrate with them safely and review changes Common contract vulnerability classes (reentrancy, front-running / MEV , oracle manipulation, signature replay) and how they affect the off-chain side Operations Containers and orchestration (Docker, Kubernetes) at the level of deploying and debugging your own services Observability (we use Datadog; experience with Prometheus, Grafana, ELK / Graylog or OpenTelemetry also counts): metrics, logs, tracing and alerting for services and contracts; diagnosing incidents in production Engineering practices Testing: unit, integration, E2E Git, CI/CD (GitLab CI or similar) AI-assisted engineering Daily hands-on use of AI coding tools (Claude Code, Codex, Cursor) for development and review, including configuring them for a repository English Spoken English at B2 level or higher Nice to have zkSync / ZK Stack and the specifics of the zk -rollup stack Designing, writing and testing smart contracts in Solidity with Foundry; deploying and upgrading them safely Building ERC-4337 infrastructure yourself (bundlers, paymasters); EIP-6963, EIP-5792 DeFi: DEX and AMM mechanics NFTs and marketplaces: ERC-721, ERC-1155, auction mechanics L2 infrastructure: running nodes, indexers, bridges Designing SDKs for external developers Gaming domain experience HOW WE WORK Decisions in writing. Significant technical decisions are written up as an RFC or ADR that lays out the options and trade-offs. We discuss the document, not a blank whiteboard. AI is part of everyday engineering. We use AI coding tools for development and review, and we treat configuring them for a codebase as real engineering work. HOW WE HIRE Intro call. Your background, your motivation and the role. Technical interview. Built directly on the What you will own and Required sections above. We won't ask about anything this posting doesn't promise. Bar raiser. An engineer from outside the hiring team checks that you raise the overall engineering bar. THE TEAM You will work alongside product managers, designers, smart contract, backend and frontend engineers, QA and DevOps. BENEFITS We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we're not just building a business; we're cultivating a community that values creativity, collaboration, and the transformative power of play. EMPLOYMENT DETAILS Location: Remote (worldwide) Employment Type: Full-time Schedule: 10:00–19:00 (flexible) Contract: Employment agreement (entity or EOR arranged per candidate location) EQUAL EMPLOYMENT STATEMENT Xsolla is dedicated to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, language, sexual orientation, national origin, genetics, political beliefs, disability, age, marital status, social background or other characteristics. We are committed to compliance with all fair employment practices regarding citizenship and immigration status. CONTACT If you have questions regarding our hiring practices, please contact careers@xsolla.com. For more vacancies, visit xsolla.com/careers.

Location: Russia Workplace: remote ABOUT XSOLLA Xsolla is a global video game commerce company headquartered in Los Angeles. It helps developers from indie to AAA fund, distribute, market and monetize their games, and acts as merchant of record for 1,500+ developers worldwide. For more information, visit xsolla.com. The role We are hiring a Software Engineer, Web3 for Xsolla ZK , Xsolla 's Web3 ecosystem on a zkSync-based L2. It includes: smart wallets built on account abstraction; SDKs that game studios and partners use to bring players on-chain; infrastructure backend services for tokenizing in-game items and currencies; ecosystem dApps: a DEX , an NFT marketplace and an auction. This is a senior fullstack role: you work across backend, frontend and smart contracts. WHAT YOU WILL OWN Features end to end: backend, frontend and production The on-chain / off-chain architecture of your product: what lives in contracts, what lives in services, and how the two stay consistent. You make these decisions and justify them in writing Security and correctness of what you ship: signing flows, interactions with contracts that hold user assets, keys and secrets Production operation of your services, as part of the team's on-call rotation WHAT YOU WILL DO Build backend services in Go and TypeScript: chain indexing, transaction relaying, event processing, APIs for dApps and SDKs Build infrastructure backend services for tokenizing in-game items and currencies Build dApp frontends in React: wallet connection, transaction signing, on-chain state in the UI Integrate smart wallets into products: accounts, paymasters, bundlers Develop SDKs used by game studios and partners Monitor services and contracts in production and take part in on-call Review code Set up and maintain AI tooling in the repositories (Claude Code, Codex, Cursor: rules, context, harness) so the team uses it effectively Required Experience 5+ years of commercial software development, with senior-level production experience across backend and frontend dApps that you shipped to production and maintained Web3 libraries and wallets viem and wagmi in production: clients and transports, contract reads and writes with typed ABIs, event subscriptions, wagmi hooks and connectors, caching and invalidation of on-chain state How wallet signers work: EOAs, browser and embedded wallets, smart accounts; personal_sign (EIP-191) and typed data (EIP-712); the EIP-1193 provider; network switching Hands-on experience with smart wallets: UserOperations, gas sponsored via paymasters, signature validation for contract accounts (ERC-1271) Backend Go and TypeScript (Node.js) for production services Processing on-chain events: idempotency, reorg handling, retries Asynchronous messaging and event-driven design (Kafka, RabbitMQ or NATS ): delivery guarantees, ordering, reprocessing Relational databases (PostgreSQL) and caching (Redis) Designing REST and gRPC APIs: versioning, backward compatibility Frontend React and TypeScript: rendering model, state management, performance Web security fundamentals: XSS , CSRF , CSP , safe handling of signatures and keys in the browser Smart contracts Reading and understanding Solidity contracts and the EVM (storage, gas, call semantics, proxy upgrade patterns, access control) well enough to integrate with them safely and review changes Common contract vulnerability classes (reentrancy, front-running / MEV , oracle manipulation, signature replay) and how they affect the off-chain side Operations Containers and orchestration (Docker, Kubernetes) at the level of deploying and debugging your own services Observability (we use Datadog; experience with Prometheus, Grafana, ELK / Graylog or OpenTelemetry also counts): metrics, logs, tracing and alerting for services and contracts; diagnosing incidents in production Engineering practices Testing: unit, integration, E2E Git, CI/CD (GitLab CI or similar) AI-assisted engineering Daily hands-on use of AI coding tools (Claude Code, Codex, Cursor) for development and review, including configuring them for a repository English Spoken English at B2 level or higher Nice to have zkSync / ZK Stack and the specifics of the zk -rollup stack Designing, writing and testing smart contracts in Solidity with Foundry; deploying and upgrading them safely Building ERC-4337 infrastructure yourself (bundlers, paymasters); EIP-6963, EIP-5792 DeFi: DEX and AMM mechanics NFTs and marketplaces: ERC-721, ERC-1155, auction mechanics L2 infrastructure: running nodes, indexers, bridges Designing SDKs for external developers Gaming domain experience HOW WE WORK Decisions in writing. Significant technical decisions are written up as an RFC or ADR that lays out the options and trade-offs. We discuss the document, not a blank whiteboard. AI is part of everyday engineering. We use AI coding tools for development and review, and we treat configuring them for a codebase as real engineering work. HOW WE HIRE Intro call. Your background, your motivation and the role. Technical interview. Built directly on the What you will own and Required sections above. We won't ask about anything this posting doesn't promise. Bar raiser. An engineer from outside the hiring team checks that you raise the overall engineering bar. THE TEAM You will work alongside product managers, designers, smart contract, backend and frontend engineers, QA and DevOps. BENEFITS We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we're not just building a business; we're cultivating a community that values creativity, collaboration, and the transformative power of play. EMPLOYMENT DETAILS Location: Remote  Employment Type: Full-time Schedule: 10:00–19:00 (flexible) Contract: Employment agreement (entity or EOR arranged per candidate location) EQUAL EMPLOYMENT STATEMENT Xsolla is dedicated to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, language, sexual orientation, national origin, genetics, political beliefs, disability, age, marital status, social background or other characteristics. We are committed to compliance with all fair employment practices regarding citizenship and immigration status. CONTACT If you have questions regarding our hiring practices, please contact careers@xsolla.com. For more vacancies, visit xsolla.com/careers.

Location: Serbia; Spain Social Discovery Group (SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another. Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world. We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world. We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025). We are looking for Machine Learning Engineer. Your main tasks will be: Set the ML direction: choose which strategic bets to make and tie each one to clear business needs. Drive LLM post-training and model adaptation end to end, from dataset construction to fine-tuning and preference optimization. Design and build agent harnesses and tool-using LLM systems. Shape multi-agent development workflows that make the team faster and more effective. Build evaluation frameworks and LLM-as-a-judge systems that reliably predict real-world performance. Improve dialogue quality across memory, emotional intelligence, persona consistency, safety and anti-loop behavior. Ship production systems that directly shape user experience, retention and monetization. We expect from you: Python expert level: clean code, typing, async, multiprocessing, profiling, debugging, notebooks + production code.Trainsformers. Training and fine-tuning LLMs. SFT, LoRA/QLoRA, PEFT. Preference optimization: DPO / ORPO / SimPO / CPO / GRPO or willingness to quickly go deep. Building datasets for LLM training: cleaning, filtering, deduplication, preference pairs, synthetic data, hard negative mining. LLM evaluation: offline evals, pairwise evals, LLM judges, human annotation. Agent harness design: tool calling, function calling, structured outputs, retries, routing, state management, memory/context, guardrails. Production LLM integration: APIs, streaming, batching, fallbacks, cost/latency trade-offs. Observability for agents: traces, tool-call logs, transcript analysis, failure clustering. Strong understanding of transformer architecture and modern LLM behavior. Accuracy with dtype/device/batching: fp32/fp16/bf16, quantization, CUDA memory, avoiding dtype mismatch bugs. Git, Docker, Linux, basic MLOps. Fluent Russian, ready to work in CET (±2) hours. Nice to have: experience beyond text (computer vision, image generation, multimodal), long-running conversations and character consistency, vLLM / TGI / SGLang, DeepSpeed / FSDP / Accelerate, quantization, safety classifiers. What do we offer: REMOTE OPPORTUNITY to work full-time; The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment; Vacation 28 calendar days per year; 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave; Bonuses up to $5000 for recommending successful applicants for positions in the company; 50% payment for professional training, international conferences, and meetings; Corporate discount for English lessons; ​ Health benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children); ​ Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years; Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc. Sounds good? Join us now!

Location: United Kingdom, London Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. PlayStation Studios is the game development division of Sony PlayStation and is responsible for developing some of the most recognisable and ambitious console games and franchises on PlayStation, including The Last of Us, Horizon, Spider-Man, God of War, Helldivers and Gran Turismo. We work with some of the best game studios in the world, and use data to help them make their games even better. We provide end-to-end analytics services for PlayStation Studios and use data to help them in the game development lifecycle. We are looking for talented people to join us in pushing the boundaries of game analytics for PlayStation games. This role offers a flexible hybrid working arrangement, with most time spent working remotely unless you prefer to come into the office. We attend the office for key moments that matter, such as important team meetings, collaboration sessions and business activities where in-person engagement is beneficial. Role Overview: As a Lead Data Engineer, you’ll work in our cross-disciplinary Data Platform team to ingest and process high-volume data.  You’ll work closely with our Game Analytics analysts and analytics engineers, who use this data to gain valuable insights both during game development and post-launch.  As a lead, you’ll scale our platform and help us define its technical direction, expand its reach, and help define and build the future of analytics for PlayStation games. What you’ll be doing: Own parts of our pipeline, and drive improvements to achieve our technical and business goals. Build supporting services for our pipeline, for example working on integrations with in-game maps and video tooling. Integrate our data collection platform and our BI tools to enable studio self-service. Work closely with the Devops team, our analytics engineers, and stakeholders across the studio business group. Focus on improving data quality, lineage and observability. Support our existing tooling, improving quality and documentation. Be a technical expert and share than knowledge with your colleagues. What we’re looking for: You have experience building and owning Data Pipelines for high-throughput streaming and batch data. You are adept at writing code in Go or write Python with a willingness to learn Go. You are experienced in building robust, scalable, and resilient services. You can demonstrate measurable impact that you have made in your current and previous roles. You enjoy solving data problems, and can take responsibility for quality, investigations and remediation. Experience with cloud data services.  We use AWS data and analytics services, such as Amazon S3, Redshift, Kinesis, Data Firehose, Athena and AWS Glue. Nice to have: Has made use of AI during the development cycle, including use of Claude Code, Codex or other harnesses. Experience with near real-time data processing, querying and visualisation. Experience with Omni Analytics, or a similar BI tool (Looker, Tableau etc). GitHub and GitHub Actions experience. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Serbia; Spain Social Discovery Group (SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another. Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world. We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world. We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025). We are looking for Lead ML Engineer -LLM Inference & NLP . Your main tasks will be: Speed up and scale LLM inference in production: SGLang, KV and prefix caching, batching, quantization, speculative decoding Run distributed inference for very large models (up to 1T+ parameters) across multi-GPU and multi-node setups Benchmark new GPU servers and hardware, bring them into production and adapt our serving code to them Lead the NLP and CV teams technically: review experiments, set direction, and step in early when something is heading the wrong way Train and fine-tune the language models, and improve the agent harnesses and chat algorithm that run on them Track cutting-edge research and open-source work in inference and post-training, and turn it into the ML roadmap Collaborate closely with the validation, content, and dataset preparation teams to design experiments and measure model quality We expect from you: Deep hands-on experience optimizing LLM inference in production with SGLang, vLLM, or TensorRT-LLM Experience with distributed inference or training of large models: MoE, tensor/expert/pipeline parallelism, multi-node GPU clusters Strong understanding of what makes inference fast: KV cache, attention kernels, batching, quantization, GPU profiling Experience training and fine-tuning LLMs, including post-training (RLHF, DPO, or similar) Proven technical leadership: you've guided engineers through reviews, mentoring and technical decisions while still writing code yourself Proficiency with PyTorch, transformers, and related libraries Experience at AI-focused startups or companies (Character AI, OpenAI, and similar is a strong plus) Backend engineering experience (Python, Go, C#) and knowledge of scalable deployment systems is a significant advantage Advanced English or Russian Nice to have: CUDA or Triton kernel development A computer vision background. We also welcome strong CV leads who have accelerated large generative image or video models Experience with multimodal LLMs First-author papers or notable open-source work, e.g. contributions to SGLang, vLLM, or post-training libraries A degree in CS, math, or physics from a strong program (MSc or PhD) What do we offer: REMOTE OPPORTUNITY to work full-time; The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment; Vacation 28 calendar days per year; 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave; Bonuses up to $5000 for recommending successful applicants for positions in the company; 50% payment for professional training, international conferences, and meetings; Corporate discount for English lessons; ​ Health benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children); ​ Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years; Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc. Sounds good? Join us now!

Location: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE As a Software Engineer on the Banking team at OnePay, your work will have a direct impact on how people access, move, and manage their money, driving everything from the design of scalable banking services to the reliability of real-time money movement that help our customers trust us with their finances. You will: - Lead technical design and delivery of banking features that scale with our growing customer base and support a seamless mobile experience - Set architectural standards and best practices for code quality, performance, security, and reliability across our banking services - Own the technical approach to complex challenges at scale, including sensitive financial data and real-time money movement - Mentor and grow engineers through design reviews, code reviews, and hands-on collaboration on tough problems - Partner closely with product, design, risk, and compliance to shape the roadmap and turn it into high-quality, shipped software - Create and maintain clear documentation, a must-have for a growing, remote organization YOU BRING - 7+ years of professional experience in backend or full-stack software engineering, including technical leadership of projects or teams - Proven success designing, building, and scaling production-grade APIs and distributed systems, ideally in banking, payments, or other regulated financial services - Experience with sensitive financial data and money movement systems, such as ledgers, account management, ACH, or card processing - Proficiency in Node.js and TypeScript or similar modern backend frameworks, and familiarity with microservices, Kubernetes, and AWS - Experience with mobile or user-facing applications, ideally React Native, is a plus - Strong communication and collaboration skills, with a track record of mentoring engineers and driving technical decisions across teams - Drive and proactivity - everyone here is a builder and executor TOOLS WE USE We use Typescript front to back, with node and NestJS frameworks for server code and React Native for our iOS, Android, and Web clients. We run on a highly distributed cloud-native stack with Kubernetes and AWS, and scale and resiliency are at the heart of everything we build. We also embrace agentic development, so engineers have their choice of a variety of models and agent harnesses, including Claude Code, Cursor, Codex, and more to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly. WHAT WE OFFER - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: Germany Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why This Role? We're seeking an experienced Program Manager to join Cohere's customer-facing Program Management team, with a focus on public sector and defence accounts in Europe, particularly in Germany. This is a highly specialised role requiring an individual who understands technical program delivery, the technical complexity of frontier AI models and the unique requirements of government and defence organisations. You will be the critical bridge between our cutting-edge AI capabilities and the specific needs of Ministries, Agencies, and defence organisations across Europe. You'll navigate complex procurement processes, stringent security requirements, data sovereignty concerns, and regulatory compliance while ensuring our customers successfully deploy and scale our AI solutions. In this role, you'll collaborate with our Strategic Customer team, Applied ML (AML) Engineering, Forward Deployed Engineering (FDE), Platform, Product, and Go-to-Market teams, serving as the technical program lead and trusted advisor for our most sensitive and high-impact government and defence engagements. Location: Germany Eligibility: This individual must be a German citizen living in Germany and fluent in German, enabling immediate engagement with critical defense and national security customers. Security Clearance: German security clearance is not required, but is a strong nice-to-have. What You'll Do Customer Program Leadership: - Own end-to-end technical program delivery for Germany and broader European public sector and defence customers, from initial deployment through production scaling - Serve as the primary technical program point of contact for customers, building trusted relationships with departmental CIOs, IT directors, and technical teams - Translate complex public sector and defence requirements (security, compliance, accessibility, bilingualism, data sovereignty) into actionable engineering plans - Navigate complex procurement processes, RFP responses, and contractual technical obligations. Strategic Communication: - Provide clear, timely, and objective communication across Cohere's engineering organisation, customer stakeholders, pubic sector and defence leadership - Translate between AI/ML technical concepts and government-appropriate language for decision-makers who may not have deep technical backgrounds - Present technical roadmaps and status updates to senior stakeholders including departmental executives - Represent Cohere's technical capabilities in sensitive government and defence contexts. Complex Program Management: - Create and manage project schedules that account for public sector and defence timelines, security review processes, and approval cycles - Identify and manage dependencies across government departments, security authorities, cloud service providers, and internal Cohere teams - Navigate risks unique to government and defence deployments: privacy compliance, security, political and regulatory, technology and infrastructure. - Drive alignment between product development priorities and specific customer requirements. Technical Delivery & Execution: - Ensure on-time delivery of AI solutions that meet security, privacy, accessibility, and performance standards - Coordinate technical work across multiple teams: model customisation, security hardening, integration with government systems, bilingual support - Establish governance checkpoints appropriate for high-stakes government and defence deployments - Problem-solve complex technical challenges in air-gapped, on-premises, or highly regulated environments. You May Be a Good Fit If: Required Experience: - 6+ years of experience as a customer-facing Technical or Engineering Program Manager in AI/ML consulting, technology transformation, or enterprise software delivery. - Excellent executive communication and stakeholder management. - Experience working with government, defence, or heavily regulated customers. - Proven track record managing complex, multi-stakeholder technical programs with stringent compliance requirements. - Bachelor’s degree in a relevant field; advanced degree or technical certs a plus. Technical Background: - Strong understanding of enterprise software deployment architectures (cloud, on-premises, hybrid, air-gapped) - Working knowledge of or experience with modern AI: LLMs, agentic systems, MCP, RAG, fine-tuning, evals, and responsible AI would be a strong differentiator - Comfortable discussing API integrations, model inference, data pipelines, and ML operations with technical stakeholders. Government & Defence Acumen: - Deep understanding of how government and defence organisations procure, evaluate, and deploy technology - Familiarity with European government requirements: data sovereignty, privacy laws (Privacy Act), accessibility standards, official languages obligations, security classifications - Understanding of defence and national security considerations in AI deployment - Experience with Algorithmic Impact Assessments or AI ethics frameworks is a strong asset - Eligible to obtain a German security clearance Nice to Have: - Active German security clearance - Bilingual (English/German) proficiency - Background in or strong familiarity with European defence, intelligence, or critical infrastructure sectors - Experience with GC Cloud services (Azure, AWS GovCloud) or Protected B/C environments - Project management certification (PMP, PgMP) or government-specific methodologies. Security Clearance Requirements This role strongly prefers eligibility for German government security clearance. We are looking for candidates eligible for German government clearance, meaning that they require German citizenship. In addition, this individual is required to be based in Germany and be fluent in German as this will enable immediate engagement with critical defence and national security customers. What Makes This Role Unique This isn't typical program management - it's a highly specialised role at the intersection of frontier AI, national security, and public sector digital transformation. You'll work on some of Canada's most sensitive and impactful AI deployments, helping government organisations harness cutting-edge technology while maintaining the highest standards of security, ethics, and accountability. If you're passionate about responsible AI adoption, understand the unique constraints and opportunities within government, and want to have an outsized impact on how Canada leverages AI to serve its citizens, this role is for you. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE As a Corporate Security Automation Engineer at OnePay, you will lead the design, implementation, automation, and optimization of our corporate security infrastructure. You will enhance security controls, align goals with business objectives, and drive automation and self-service capabilities to maintain a strong security posture in a rapidly scaling environment. - Work with IaC tools like Terraform to ensure enterprise configurations are steady, change-managed and machine-readable. - Design and deploy endpoint security measures aligned with industry standards, including vulnerability management. - Ensure a strong security posture for corporate SaaS applications by configuring vendor capabilities or building automations to meet OnePay standards. - Mature and manage data protection controls, including Data Loss Prevention (DLP) tools and secure data handling processes. - Build secure methods for sharing data with internal teams and external partners. - Collaborate with IT, Infrastructure, and Security teams to implement security measures, maintain critical corporate systems (ensuring availability and compliance), and drive process improvement through automation. - Develop and run incident response and disaster recovery plans, including tabletop exercises. YOU BRING - 5+ years of IT experience, including 3+ years in enterprise security within cloud environments. - Expertise in IaC tools like Terraform (preferred), Puppet, Chef or Ansible. - Proven ability to lead projects, drive measurable security improvements through automation, leveraging scripting (Python, Go, and/or TypeScript). - Solid understanding of networking, authentication standards, and security frameworks (MITRE ATT&CK, NIST CSF, CIS benchmarks), with hands-on experience in ZTNA and DLP solutions (e.g., Netskope, Zscaler). - Skilled at simplifying technical concepts for non-technical audiences and influencing decisions. - Experience with workflow automation tools like n8n is a plus. TOOLS WE USE We use Typescript front to back, with node and NestJS frameworks for server code and React Native for our iOS, Android, and Web clients. We run on a highly distributed cloud-native stack with Kubernetes and AWS, and scale and resiliency are at the heart of everything we build. We also embrace agentic development, so engineers have their choice of a variety of models and agent harnesses, including Claude Code, Cursor, Codex, and more to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly. WHAT WE OFFER - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: Buenos Aires, Argentina; São Paulo, Brazil; Bogotá, Colombia We are hiring in Latin America! 🟢 At Dev.Pro, a US-based outsourced software development company, we're looking for contractors to join our global team of IT professionals helping tech companies scale their business through software engineering expertise. Operating as a remote-first company, our experts work across 55+ countries on five continents, giving us the flexibility and skillset to deliver high-quality engineering for projects of any size or complexity. We invite an Intermediate Test Engineer with hands-on experience in both manual and automated testing to join our dynamic team. In this role, you’ll work across UI and backend/integration testing, validate new features, and use your understanding of the product to identify issues and help ensure smooth releases of new functionality. 🟩 What's in it for you: Work on a modern, evolving payments platform for a major global fintech client Leverage your experience in both manual and automated testing across UI and backend/integration layers Collaborate with product, engineering, business, and client teams across the U.S., Latin America, and India ✅ Is that you? 3-5 years of hands-on QA experience, with a strong background in both manual and automated testing Hands-on experience with test automation using C#/.NET Solid experience with UI testing, including Playwright or similar UI automation tools Experience with API testing using Postman or similar tools Experience with backend and integration testing Experience testing end-to-end functionality and identifying defects independently Strong understanding of QA fundamentals and best practices Ability to work effectively with limited or incomplete documentation Ability to adapt quickly to changing product requirements and priorities Strong analytical and problem-solving skills Strong communication and cross-functional collaboration skills Proactive and autonomous approach to work Upper-Intermediate English level Desirable: Familiarity with Datadog for reviewing errors, failures, and system logs Knowledge of GCP and Harness Experience working with Jira and Confluence Familiarity with GitHub Copilot or similar AI-powered tools 🧩 Key responsibilities and your contribution In this role, you’ll contribute to delivering reliable, high-quality functionality through manual and automated testing as the product continues to evolve. Execute manual test scenarios for new features, primarily across the UI Perform API and backend/integration testing as needed Build and maintain automated tests using C#/.NET Perform end-to-end testing as requirements and features evolve Analyze product functionality and user flows to identify issues and bugs Review errors, failures, and system logs in Datadog Use product knowledge and QA experience to verify functionality independently with minimal documentation Work with product, engineering, business, and client teams to clarify requirements and resolve issues Participate in bi-weekly release activities and provide support during late-night releases Our next steps: ✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Internal interview — ✅ Client interview — ✅ Offer Interested? Find out more: 📋How we hire 💻 LinkedIn Page 📈 Our website 💻IG Page By submitting application, I've read and agree to the Dev.Pro Private Policy and Consent on Processing of Personal Data . I agree to have my Personal Data being stored and processed by Dev.Pro.

Location: Sainte-Anne-de-Bellevue, Canada 📍 Location: Sainte-Anne-de-Bellevue, QC, Canada (West Montreal) 📄 Employment Type: TBD 🏢 Work Arrangement: Remote opportunities for U.S. and Canadian citizens; relocation assistance and bonus available for qualified UK and European candidates relocating to Canada 🚀 Start Date: TBD 💰 Compensation: TBD — based on skills and experience Remote & Relocation Opportunities U.S. and Canadian Citizens: Remote work arrangement available. UK and European Candidates: Relocation assistance and a relocation bonus are available for qualified candidates willing to relocate to Canada. Candidates should be prepared to collaborate with multidisciplinary spacecraft engineering teams, customers, partners, and suppliers. Important Screening Requirements Bachelor’s degree in Electrical Engineering, Aerospace Engineering, or Physics . 10+ years of electrical design engineering experience on LEO, MEO, or GEO spacecraft missions. Experience with spacecraft-level and unit-level electromagnetic compatibility (EMC) requirements and simulations . Experience leading EMC engineers or multidisciplinary engineering task forces. Strong understanding of aerospace systems engineering fundamentals. Hands-on experience supporting systems integration, testing, and troubleshooting. Experience with Confluence and JIRA . Strong analytical, problem-solving, and technical communication skills. Excellent written and verbal communication skills in English. French is an asset but is not required. About the Role We are seeking an experienced Spacecraft EMC Systems Engineer to lead electromagnetic compatibility architecture, analysis, electrical design reviews, and verification activities for spacecraft systems. The role focuses on defining EMC requirements, evaluating electrical and electromagnetic interactions across spacecraft subsystems, overseeing EMC testing, and coordinating with multidisciplinary engineering teams, customers, partners, and suppliers. The successful candidate will provide technical leadership throughout the spacecraft development lifecycle, from early design and requirements definition through integration, verification, and on-orbit anomaly support. What We’re Looking For We’re looking for a technically strong and hands-on EMC engineering professional with extensive spacecraft electrical design experience and the ability to lead complex electromagnetic compatibility activities. The ideal candidate can define EMC architectures, assess conducted and radiated emissions and susceptibility, recommend mitigation strategies, oversee verification testing, and resolve cross-subsystem electromagnetic issues. Strong candidates will combine deep technical expertise in spacecraft EMC with engineering leadership, sound judgment, and the ability to communicate technical risks and solutions to multidisciplinary teams and stakeholders. Key Responsibilities EMC Architecture, Concepts & Requirements Capture, allocate, and maintain traceability of EMC functional, performance, and technical requirements. Define spacecraft EMC architecture, including: Shielding strategies Grounding schemes Antenna placement Mode control Harness segregation and routing constraints Ensure EMC requirements are considered throughout spacecraft design and development. Identify potential electromagnetic compatibility risks early in the design lifecycle. EMC Analysis & Electrical Design Perform spacecraft-level EMC analyses, accounting for payload-specific requirements, including: Radiated and conducted emissions Radiated and conducted susceptibility Antenna coupling Shielding effectiveness Fuse blowing Verify EMC compliance early in the design cycle and recommend mitigation measures. Apply shielding, filtering, grounding schemes, and layout rules to address EMC/EMI concerns. Review DC power distribution architecture, including primary and secondary buses, converters, fusing, and protection, for EMC/EMI considerations. Review conductors, terminations, connectors, and backshells to ensure materials, gauges, and shielding meet EMI control requirements. Cross-Functional Coordination & Program Support Communicate technical status, risk assessments, and trade-study results to senior management, customers, and partners. Support Interface Control Documents (ICDs) with payload and platform teams and suppliers. Serve as the EMC authority during system and subsystem design reviews . Coordinate with RF, Power, Structures, Propulsion, Software, and Ground Segment teams to resolve cross-disciplinary EMC issues early. Support business development and proposal activities during Phase 0 and pre-Phase A. Collaborate with engineering teams and external suppliers to maintain EMC compliance across spacecraft subsystems. Integration, Verification & Testing Develop the EMC Verification Master Plan covering component-level, subsystem-level, and full-spacecraft testing. Define verification activities for: Conducted emissions and susceptibility (CE/CS) Radiated emissions and susceptibility (RE/RS) Oversee test facility setup, instrumentation calibration, test execution, data reduction, and results certification. Author test procedures and define acceptance criteria. Lead CE/CS and RE/RS testing on hardware. Review supplier test results and verify compliance with EMC requirements. Support systems integration, troubleshooting, and resolution of EMC-related issues. Technical Leadership & Mentorship Mentor junior engineers and interns. Provide EMC training sessions and technical guidance. Serve as a technical liaison with customers, partners, and external vendors. Coordinate multidisciplinary engineering activities and help resolve complex technical challenges. Contribute to continuous improvement initiatives, internal knowledge bases, process enhancements, and standards development. Configuration, Documentation & Standards Management Participate in Change Control Boards (CCBs) and ensure impact analyses are conducted for electrical changes. Maintain GDIR and streamline EDTS processes. Ensure analyses, technical artifacts, and documentation are version-controlled within the Product Lifecycle Management (PLM) environment. Support spacecraft design reviews, including: System Requirements Review (SRR) Preliminary Design Review (PDR) Critical Design Review (CDR) Manufacturing Readiness Review / Test Readiness Review (MRR/TRR) Support technology roadmapping and innovation activities. On-Orbit & Operations Support Support root-cause investigations of on-orbit anomalies. Update design baselines and document lessons learned following anomaly investigations. Support development of the Spacecraft Operations and User Handbook (SOOH) . Contribute to related operator training and operational readiness activities. Required Qualifications Bachelor’s degree in Electrical Engineering, Aerospace Engineering, or Physics ; a Master’s degree is preferred. 10+ years of electrical design engineering experience on LEO, MEO, or GEO missions. Proficiency in spacecraft-level and unit-level EMC requirements and simulations. Experience supervising EMC engineers or leading multidisciplinary task forces. Strong understanding of aerospace systems engineering fundamentals. Hands-on experience supporting systems integration, testing, and troubleshooting. Experience with Confluence and JIRA . Ability to work independently with minimal supervision. Strong analytical and problem-solving skills, including the ability to simplify complex problems and solve them through analysis, similarity, or creative approaches. Excellent written and verbal communication skills in English. Preferred Qualifications Master’s degree in a relevant engineering or physics discipline. Knowledge of French. Experience working with multidisciplinary spacecraft engineering teams, customers, partners, and external suppliers. Experience leading spacecraft EMC design reviews, verification activities, and cross-functional technical investigations.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's customer-facing teams are often the first place a customer sees what Claude can do. As a Demo Engineer, you'll build the demos, reference implementations, and reusable tooling that help those teams make new capabilities tangible, relevant, and trustworthy, ideally within days of a product launch rather than weeks after. This role sits between product engineering, technical storytelling, and GTM execution. You'll own ambiguous, high-leverage problems end to end: prototyping an agentic experience for a new capability, then hardening it into something reliable that other teams can run on their own. You'll work closely with Product, Engineering, Marketing, Operations, and our sales and solutions teams, and you'll bring what you learn from customer-facing work back to the people building the products. Because a demo is frequently someone's first impression of what our models can and can't do, accuracy and honesty matter as much as polish. Success in this role looks like customer-facing teams demonstrating new capabilities sooner and with more confidence, recurring requests becoming reusable assets rather than one-off projects, and field insights shaping product and launch-readiness decisions. Responsibilities Own demo readiness for new and priority Claude capabilities, including environments, integrations, synthetic data, evaluations, reliability checks, and fallback paths Build prototypes, agents, and reference flows that make complex capabilities concrete and tie them to clear customer outcomes Turn recurring requests into reusable accelerators such as companion apps, templates, Skills, plugins, and self-service demo packages that scale across customer-facing teams Partner with GTM colleagues on high-impact customer moments, unblock critical technical gaps, and spot the patterns worth turning into shared assets Build internal agentic systems that automate demo preparation, validation, and asset maintenance, so demos stay current as products change Translate patterns from customer-facing work into product feedback, launch-readiness priorities, and systemic improvements with Product and Engineering Define and raise the bar for demo quality across accuracy, safety, reliability, usability, and adoption Decide when a customer need calls for a bespoke build and when it should become a shared capability You may be a good fit if you have Proficiency in Python or TypeScript, with experience shipping working software end to end Hands-on experience building applications or agents on top of LLM APIs, including prompting, tool use, and retrieval Experience designing integrations with third-party APIs, data sources, and services The ability to take an ambiguous capability or customer need to a working prototype quickly, and then make it reliable Clear communication of technical concepts to both technical and non-technical audiences, including sales and solutions teams Comfort collaborating across Product, Engineering, Marketing, Operations, and GTM teams Experience in a demo engineering, solutions engineering, sales engineering, forward deployed engineering, developer relations, or product engineering role A track record of building reusable internal tools, templates, or self-service assets that other teams adopted Hands-on experience with Claude Code, the Claude Agent SDK, the Model Context Protocol (MCP), Skills, or plugins Experience building evaluation or validation harnesses for AI systems, including reliability checks and graceful fallbacks Experience building always-on or scheduled agentic systems that automate internal workflows Experience building synthetic or sanitized datasets that make demos realistic without exposing sensitive information Front-end or product design skills that help demos feel polished and intuitive Experience supporting product launches or running launch-readiness programs A history of turning field feedback into concrete product input that influenced a roadmap A passion for making powerful technology safe and beneficial, and a commitment to representing model capabilities accurately and honestly The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 — $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Salt Lake City, UT Workplace: hybrid At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. About the Role:   As an Intermediate Site Reliability Engineer, you will bridge the gap between development and operations, ensuring our systems are highly reliable, scalable, and efficient. You will be responsible for maintaining the uptime and performance of our systems, applications, automating processes, and implementing best practices in site reliability and system administration. You’ll collaborate closely with cross-functional teams to optimize system architecture and drive operational excellence.  You’ll have complete autonomy in making infrastructure performance enhancements to ensure we have the most stable and secure environment possible for our world class healthcare solution.      Key Responsibilities:  · Experience administering Linux environments -- preferably Ubuntu or other Debian-based distros  · Experience in setting up servers and services in both On Premise and Cloud infrastructure (Azure and AWS)  · Infrastructure As Code using Terraform and Ansible  · Experience with Log Aggregation Tools, specifically Splunk in both an administrative and user capacity  · Experience with additional Observability Infrastructure Tools :Nagios, Grafana, DataDog  · VMware administration and maintenance enhancements  · iSCSI Storage Administration in a HPE Nimble environment is a plus  · Dell Hardware Experience in an OnPrem environment  · Azure/AWS Infrastructure provisioning  Your Key Strengths:  · Expertise in Linux Environments: Deep understanding of Debian based Linux distributions and their configurations, file systems, and management.  · Scripting and Automation Skills: Proficiency in scripting languages like Bash, Python, or Perl to automate tasks, streamline processes, and improve system efficiency.  · Networking Knowledge: Strong grasp of networking concepts, including TCP/IP, firewalls, DNS, and routing, to effectively manage and troubleshoot network-related issues.  · Security Best Practices: Knowledge of Linux security protocols and practices, including user permissions, access controls, firewalls, and intrusion detection systems, to ensure system integrity and data protection.  · System Monitoring and Performance Tuning: Ability to use monitoring tools (like Nagios,JSM or Prometheus) to analyze system performance, identify bottlenecks, and optimize resources for better efficiency.  · Disaster Recovery and Backup Solutions: Expertise in implementing and managing backup and recovery strategies to protect data and ensure business continuity in case of failures.  · Collaboration and Communication Skills: Strong ability to work collaboratively with development teams, stakeholders, and other IT personnel, effectively communicating complex technical concepts to non-technical audiences.  Bonus Skills:  · Kubernetes  · Kafka  · Identity Access Management in a Service Provider role  · Windows Active Directory Administration PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The USD base salary range for this position is $138,000-154,000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.

Location: Mexico POWER A WORLD OF TRUST Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust. Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services. We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up! About Incode Incode is a Series B unicorn ($2 B valuation) rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security. Recently named a leader in the Gartner® Magic Quadrant™ for Identity Verification, we’re scaling fast. The Impact You’ll Make Growth at Incode owns the top of funnel - the pipeline that feeds every region's revenue number. This role exists to build the systems that generate it. You'll ship AI agents, automations, and workflows across the full top-of-funnel surface: outbound, inbound, lead qualification and routing, event and conference motions, account and competitive research. The work is grounded in live Salesforce, Supabase, and Outreach data and supports revenue teams across NAM, LATAM, and EMEA. The Growth AI Office - our multi-agent GTM operating system - is where it lives, and a fleet of these agents is already in daily production use. Today that fleet is built and maintained by a single engineer. You are the second builder. You'll design and ship new agents, harden the ones already running, and own the integration layer that connects them to the systems revenue actually runs on. This is not an internal-tools ticket queue and it is not research. It is applied engineering where the output is measured in qualified pipeline, meetings held, and hours returned to a 24-person revenue team. A note on the title: "Growth Engineer" means different things at different companies. Here it does not mean product-led growth or experimentation infrastructure - Incode sells to banks, fintechs, marketplaces, and governments, and there is no self-serve funnel to optimize. It means engineering applied to pipeline generation. You will write and deploy production Python and Node services, stand up MCP servers, and own your own CI/CD - not configure a no-code platform. If your strongest work is A/B test infrastructure and activation metrics, or enrichment waterfalls inside a vendor UI, this is the wrong role. If you are an engineer who chose revenue systems as your problem space, keep reading. What You’ll Own & Drive Top-of-Funnel Agent Development - Design, build, and ship production LLM agents that generate and qualify pipeline: scoped skills, explicit guardrails, human-in-the-loop checkpoints, and clean multi-agent handoffs. Take agents from concept to daily use by non-technical operators across outbound, inbound, and event motions. MCP & Integration Infrastructure - Build and operate the Model Context Protocol servers and clients that connect agents to Salesforce, Outreach, Supabase, ZoomInfo, Notion, and Slack. Own authentication, token scoping, pagination, rate limiting, and graceful failure - including for systems with no native integration path. Grounding & Evaluation - Keep agent output tied to real records, not plausible-sounding invention. Build schema-aware retrieval, reconciliation checks, eval harnesses, and regression tests so a prompt change never silently degrades a production agent. Workflow & Decision Automation - Implement routing, scoring, and trigger logic across automation platforms (n8n, Tines-class) and custom services: webhooks, scheduled jobs, event-driven pipelines. Internal Tooling & Reporting - Build the web apps, dashboards, and interactive reporting that put agent output in front of BDRs and leadership in a form they'll actually use. Documentation & Durability - Write the runbooks, skill specifications, and architecture docs that make the agent fleet maintainable by more than one person. Enable GTM operators to extend what you build without filing a ticket. The Qualities That Set You Apart Agent-Native Builder - You've shipped LLM-powered systems that real people depend on, and you know the difference between a demo and something that survives contact with messy production data. Integration Instinct - You default to connecting systems rather than replacing them, and you're comfortable building the middleware that vendors didn't. Evaluation Discipline - You treat prompts and agent skills as code: versioned, tested, measured. You can tell someone whether a change made an agent better, with evidence. Data Integrity First - Before you automate on top of a number, you check whether the number is trustworthy. You've been burned by a bad join and you don't intend to be again. GTM Fluency - You can read a pipeline report, hold a conversation about conversion rates, and design for how a seller actually behaves rather than how the org chart says they should. Ownership Under Ambiguity - You scope your own work from a business problem, ship something usable fast, and iterate. You operate like a founder with a unicorn's resources behind you. Handoff Mindset - You write so that the next person can run it. You measure success partly by how little you're needed for maintenance. Your Background Engineering foundation 4+ years professional software engineering 1+ year building and shipping LLM-powered applications or agents to production - used daily by people who are not engineers Strong Python and Node.js/TypeScript in production; React sufficient to build internal UI end to end At least one internal application you built start to finish: data model, backend, interface, auth, deployment, and the maintenance afterward CRM and revenue systems - required Hands-on experience with both Salesforce and HubSpot. We run both, and this role writes against both. We are not asking for admin certification - we are asking for working fluency: standard and custom objects, field-level behavior and validation, record ownership and sharing, REST and bulk APIs, and a clear sense of what breaks downstream when you change something upstream Sales engagement platform experience - Outreach, Salesloft, or Apollo: sequence and step models, prospect and mailing data structures, and API access patterns A realistic view of how revenue data degrades in practice: duplicates, stale ownership, unenforced picklists, half-migrated fields - and what that means for anything automated on top of it Bonus: enrichment and contact data providers (ZoomInfo, Clay, Lusha-class) at the API level rather than the UI level Databases and data work Production experience with Postgres or Supabase: schema design, migrations, indexing, query tuning, row-level security SQL fluency against a warehouse - Redshift, Snowflake, or BigQuery-class - including window functions and incremental models You have reconciled the same metric across two systems, found the delta, and explained it to a non-technical stakeholder Automation, end to end You have designed, built, deployed, monitored, and maintained automations in production - not just built them. You own the alerting and the failure modes for your own work Webhooks, queues, scheduled jobs, retries, idempotency, and backfills. You have debugged a job that silently stopped firing Automation platform experience (n8n, Tines, Zapier-class) and the judgment to know when to abandon the platform and write the service instead. We care more about the second half of that sentence Routing, scoring, and decision logic implemented as code with test coverage, not as a chain of conditional blocks nobody can read AI and agents Hands-on with MCP - servers, clients, custom endpoints - or an equivalent tool-calling and agent framework Production LLM API integration (Anthropic-class): structured output, tool definitions, context management, cost and latency tradeoffs Prompt and skill design treated as versioned artifacts, with some method for evaluating whether a change helped Deployment, integration, and security Cloud deployment ownership: AWS, containerized hosting, CI/CD (GitHub Actions); Terraform or another IaC tool a plus OAuth flows, token lifecycle and refresh, credential vaults, header auth, and least-privilege scope review on the integrations you build Nice to have Experience supporting a multi-region revenue team (NAM, LATAM, EMEA) and the data-residency questions that come with it Event and conference lead-capture tooling Notion and Slack API work Experience enabling non-technical teams on AI tooling - documentation, training, internal adoption The Work You've Done Before Come ready to walk us through two or three things you have built. The strongest candidates we have seen have shipped work like: An internal application a non-technical team now uses every day, where you owned it from data model to deployment A two-way integration between two systems that had no native connector, including how you handled auth, rate limits, and partial failure An agent or automation that replaced a recurring manual process, with a before-and-after number attached to it A data reconciliation between a CRM and a warehouse where the two disagreed and you determined which one was right Something you built, documented, and handed off - that someone else now runs without you We care more about what you shipped and what broke than about which tools were on the sticker. If your strongest work used a stack we did not list, tell us about it anyway. Why Incode? Mission with Meaning - Shape how billions of people prove identity - safely, simply, and ethically. Rocket-Ship Growth - Join at an inflection point where your strategies will compound in value for years. Elite Team & Backing - Work a truly global with top engineers, designers, and investors who share your ambition to dominate a category. Ownership & Autonomy - Operate like a founder with the resources of a unicorn. Global Impact - Every program you launch will reverberate across industries and continents. Ready to ignite the future of trust? Lead the narrative. Empower the field. Join Incode and turn innovation into unstoppable market momentum. Aspects of our Culture: High performance Freedom & responsibility Context, not control Highly aligned, loosely coupled Continuous Feedback Promotions & Development Learn more about Life at Incode ! Benefits & Perks: Flexible Working Hours & Workplace Open Vacation Policy Equal Opportunities: Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know—we’ll do our best to support you. Applicant Data Privacy: We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.

Location: United States Workplace: Remote As an Engineering Manager on Coder’s Agentic Engineering team, you’ll lead engineers building and evolving the systems behind our agentic development experience. You’ll help make agents more capable, reliable, and useful across real development environments. You’ll guide technical direction, grow the team, and keep execution sharp. You’ll work closely with Engineering, Product, and Design across the agent harness, integrations, and developer workflows. This position is required to be in the US Eastern Time Zone.   WHAT YOU’LL DO HERE - Lead and grow a team within our Agentic Engineering organization. - Set technical direction across the agent harness, integrations, and workflows. - Stay close to the code and contribute to architecture and implementation decisions. - Evolve agent execution, tool use, context management, streaming, and long-running workflows. - Extend our provider-agnostic architecture as models and capabilities change. - Partner with Product and Design to turn agent capabilities into useful developer experiences. - Improve reliability, performance, and operability across agentic systems. - Coach engineers, raise the technical bar, and create clarity around priorities and tradeoffs.   WHAT WE’RE LOOKING FOR - Experience managing and growing software engineering teams. - Strong hands-on engineering experience with Go. - Experience with React and TypeScript. - Hands-on experience building systems around LLMs and agentic workflows. - Experience with model APIs, tool calling, context management, or agent loops. - Strong distributed systems knowledge. - Working knowledge of AWS. - Strong technical judgment and comfort working through ambiguity. - A track record of helping engineers grow while maintaining a high execution bar.   OUR TECH STACK - Backend: Go, Postgres - Frontend: TypeScript, React - Infrastructure: AWS, Kubernetes - Observability: Prometheus, Grafana - CI/CD: GitHub Actions   BONUS TACOS IF YOU HAVE - (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) - Experience building coding agents, developer tools, or cloud development environments. - Experience with MCP, agent tools, or multi-agent systems. - Experience with remote execution, sandboxing, or isolated compute. - Experience building abstractions across multiple model providers. - Deep experience with AWS, Kubernetes, Docker, or Linux. - Open-source contributions or experience working directly with customers. Coder’s agentic architecture is provider-agnostic. The foundation is built; this team is focused on making it more capable, reliable, and extensible as the space evolves. ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.