Вакансии

Задачи: — исследовать новые инструменты и платформы; — искать причины технических проблем; — тестировать growth-гипотезы; — создавать автоматизации и внутренние инструменты; — работать с API, AI, no-code, low-code; — собирать MVP и прототипы; — иногда выполнять найденный процесс вручную. Требования: — умение самостоятельно искать информацию; — настойчивость после неудачных гипотез; — интерес к устройству процессов; — готовность работать с незнакомыми технологиями; — способность самостоятельно собирать решения из разных инструментов. Плюсом будут знания и опыт с n8n, Make, API, GitHub, Linux, Docker, SQL, Python, JS, scraping, browser automation, AI tools, Telegram bots и собственными проектами. Опыт и образование вторичны. Наличие собственного проекта, бота или автоматизации приветствуется. Условия: — удалённая работа; — зарплата $1,200 первый месяц, с последующим ростом до $2,400–3,500 в месяц в зависимости от результатов и ответственности; — хороший уровень английского языка; — рабочий день около 8 часов, 5–6 дней в неделю, гибкий график; — процесс отбора: анкета, голосовой звонок, практическое задание, финальное интервью.

Location: San Francisco; Toronto Workplace: OnSite Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit. ABOUT THE COMPANY Our client builds the data layer that AI agents run on. One API call turns any URL into clean, structured, LLM-ready data. It is already the default way a huge number of developers pull web data into their AI systems. The numbers back it up: 8 figures in ARR in year one, more than doubled that in year two, and 180,000+ GitHub stars, placing its open-source project among the top 50 repositories of all time. They just closed a $75M Series B. The company is small, moving fast, and hiring people who want to build the next chapter with them. THE MISSION They believe developers and AI agents should not have to fight the web to get useful data out of it. Every hour spent maintaining a scraper, dealing with stale pages, or working around brittle retrieval systems is an hour taken away from the actual product. Their job is to make that problem disappear: give AI systems reliable access to the live web, then make the results clean, current, structured, and useful enough to power real products. THE OPPORTUNITY As a Search Engineer, you will own ranking quality and relevance for an LLM-driven search and retrieval product. This is a role for an engineer whose primary, hands-on discipline is production search quality. You have personally shipped ranking or re-ranking changes, measured their impact, and can clearly describe the relevance, recall, conversion, or other search-quality metric you improved—including the result. You will work directly with the Head of Search and a small team across crawling, indexing, retrieval, and search serving. These systems are central to delivering excellent results at scale, but they are not substitutes for relevance ownership. Your role is to improve search quality while navigating the real constraints of web-scale retrieval: freshness, deduplication, latency, reliability, and cost per query. WHAT YOU’LL DO - Own ranking quality and relevance for LLM-driven retrieval - Design and build the crawling, indexing, and retrieval systems - Push down latency and cost per query while search volume grows - Own services end to end: design, ship, monitor, and iterate in production - Work directly with the Head of Search and the rest of the search team on the roadmap WHAT YOU BRING - 3+ years of experience building and operating search or retrieval systems in production, with ranking and relevance as your primary, owned discipline - A specific example of a ranking or re-ranking change you personally owned, the search-quality or business metric it moved, and the numerical impact achieved - Hands-on information-retrieval depth across BM25 and lexical retrieval, semantic/vector retrieval, hybrid retrieval, re-ranking, retrieval evaluation, or RAG evaluation - Experience measuring search quality through relevance, recall, conversion, CTR, NDCG, MRR, query satisfaction, or comparable production metrics - End-to-end ownership of search services: you have designed, shipped, monitored, debugged, measured, and iterated on production systems - Strong backend systems programming skills in Go, Rust, Python, or a comparable language. - Experience balancing relevance, latency, cost, correctness, and reliability under real production constraints - Comfort working through ambiguity, setting technical direction, and shipping quickly with a build-measure-iterate operating style KEY SUCCESS DRIVERS The people who do well here have personally owned search quality in production, think end-to-end about relevance, crawling, indexing, serving, latency, and cost, and thrive in ambiguity by shipping, measuring, and iterating quickly without needing a fully defined playbook. WHY JOIN? - Compensation & Equity: San Francisco: $235,000–$260,000 USD base salary, plus competitive equity. Toronto: $217,000–$233,000 CAD base salary, plus competitive equity. - Traction: 8 figures in ARR in year one, more than doubled in year two. 180,000+ GitHub stars and a developer base showing up before you even start selling to them. $75M Series B closed in 2026, backed by top-tier investors - Team: ~40 people total, real visibility with the founders and leadership. No layers, no committees, fast decisions, short feedback loops - Benefits: 100% employer-paid medical, dental, and vision (50% for spouse and kids); employer-paid life, short-term, and long-term disability insurance; 401(k), pre-tax FSA, and commuter benefits; pet insurance; 15+ days PTO; 12 weeks fully paid parental leave for moms and dads; $100/month wellness stipend; $1,000/year learning and development budget; 3-month paid sabbatical after 4 years; team offsites twice a year; SF HQ perks and a loaner e-bike for commuting - Visa: not open to visa sponsorship on this one (Candidates must be authorized to work in the United States or Canada). INTERVIEWING PROCESS 1. Intro Chat 2. Technical Chat 3. Founders Chat 4. Paid Work Trial (~40 hours) We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.

Location: Argentina Remote Workplace: Remote ABOUT THE TEAM  The Platform Engineering team builds the tools and services that accelerate the software development life cycle of the software engineers at Mural. We work on tools that provide a reliable development environment, on tools to easily test locally and remotely, on integrations with Github and Github Actions, and a few other pieces throughout the many stages in our build, test and release pipelines. Our work is essential to Mural's success, as we maintain the backbone of the platform, enabling seamless user experiences and fostering innovation across the company. YOUR MISSION As a Platform Engineer, you will play a crucial role in driving the performance and efficiency of the software development life cycle across the organization. You will be responsible for understanding, maintaining, and evolving existing systems while designing and implementing advanced automation tools and optimized workflows. By enabling developers to build, test, and deploy software rapidly and reliably, your work will directly enhance development cycle performance, boosting productivity and quality across the entire development team. This makes your role essential to Mural's ongoing success.   WHAT YOU'LL DO -  Design, implement and maintain the build infrastructure for a large Typescript and NodeJS codebase - Collaborate with software developers and platform engineers to define and refine the Continuous Integration and Continuous Delivery processes and its best practices. - Identify and address bottlenecks, performance issues, and opportunities for automation within the development pipeline in order to speed up the whole development experience. - Develop and maintain scalable platform features, ensuring the reliability, availability, and scalability of our software delivery processes. - Care deeply about the problems and needs of our customers, which are all the engineers in the organization, and on training and supporting them to better use the tools we build to improve their quality of life WHAT YOU'LL BRING - 5+ years of experience working on the backend, integrations or CI/CD pipelines of a high-performing engineering team - Experience building reusable components and libraries, with an understanding of scalable architecture. - Excellent communication skills, with a focus on documenting solutions and providing clear technical guidance - A strong sense of ownership over critical problem areas - A thorough understanding of Linux, Docker and CI tools like Github Actions or similar - Experience in designing, implementing and documenting API services - Understanding of the NodeJS and Typescript ecosystems, and its automated build and testing tools is a plus - Kubernetes, Python, Golang, Terraform and Azure Cloud knowledge is another plus - Experience managing stateful Kubernetes workloads, including operating, scaling, troubleshooting, and improving the reliability of production-grade services - Comfortable designing and programming custom operators to automate platform workflows, extend infrastructure capabilities, and improve reliability across development and delivery systems - Experience designing and building AI-powered platform capabilities that improve developer productivity, automate engineering workflows, or enhance CI/CD, observability, testing, and release processes - A proactive, ownership-driven approach to troubleshooting and supporting critical technical areas - Experience in making data-driven decisions  Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. . EQUAL OPPORTUNITY  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. Please contact us to request accommodation.

Location: US Remote; New England; Atlanta; North Carolina; New York; Boston; Florida Cyberhaven is looking for a Chief of Staff for Engineering to collaborate and perform as an operating partner and force multiplier for engineering leadership, driving operating cadence, cross-organizational execution, and data-driven decision making across the entire engineering org. This role is accountable for turning strategic priorities into clear execution plans, and for giving leadership the visibility, metrics, and follow-through they need to run engineering like a well-oiled machine. This is a hybrid role that blends program management, project management, and executive operations: the person in this role will sit close to engineering leadership, represent their priorities across the org, and be the connective tissue between strategy and day-to-day execution. Influence and impact come from judgment, trust, and cross-functional credibility rather than direct authority. This role also serves as the primary architect of engineering leadership's monthly and quarterly business reviews, all-hands content, org planning, and leadership offsites providing decision support, surfacing risk, and driving follow-through on the company's highest-priority engineering initiatives. This role goes well beyond traditional chief of staff work. It requires strong executive presence to represent leadership credibly in front of the org and external stakeholders, deep comfort with data and metrics to turn fragmented signals into clear decision support, and an AI-forward mindset to automate the reporting and operating mechanisms that let Cyberhaven scale how it plans, tracks, communicates, and reviews its work. WHAT YOU'LL DO STRATEGIC PARTNERSHIP AND EXECUTIVE SUPPORT - Act as a trusted advisor and thought partner to engineering leadership, helping translate strategic priorities into clear execution plans, success criteria, and operating mechanisms across the org - Own the engineering leadership operating cadence, including staff meetings, monthly and quarterly business reviews, org planning, and leadership offsites, setting agendas, preparing materials, and driving follow-through on decisions and action items - Represent engineering leadership's priorities across the organization, ensuring alignment between engineering, product, and go-to-market teams on key initiatives - Prepare executive-facing communications, board and all-hands content, and cross-functional updates on behalf of engineering leadership - Act as a sounding board and extension of leadership on sensitive or ambiguous organizational topics, including headcount planning, org design, and prioritization tradeoffs - Build trust and credibility across engineering, product, and business stakeholders to effectively drive alignment without formal authority PROGRAM AND PROJECT MANAGEMENT - Own end-to-end planning, execution, and coordination across complex, multi-team programs and time-sensitive strategic projects for engineering leadership - Improve predictability in Cyberhaven's release and planning model by tracking scope changes, readiness risks, and cross-team dependencies - Build and maintain review cadences, status updates, and action follow-up systems that surface execution risk and areas needing intervention across teams and programs - Support high-priority or ambiguous engineering initiatives that need additional structure, executive visibility, and follow-through, often stepping in where no clear owner exists - Improve data hygiene and governance in systems like Jira and related planning artifacts so that ownership, status, and progress signals are reliable DATA AND METRICS-DRIVEN OPERATIONS - Define and standardize success metrics across quality, release health, velocity, and team health to drive greater predictability and accountability - Turn operational signals from across the org into clear, data-backed reporting and decision support for engineering leadership - Own the metrics and narrative behind monthly and quarterly business reviews, ensuring leadership has accurate, timely, and actionable data - Bring a data-driven lens to org health, from delivery metrics to team sentiment, to help leadership spot risk early AI-FORWARD AUTOMATION - Build AI-assisted dashboards and reporting workflows that improve visibility into program health, release scope, delivery risk, and team performance - Create automations that connect tools like Jira, Notion, GitHub, and Slack to surface planning, execution, release, and other delivery signals - Automate recurring chief of staff and program management processes such as status collection, follow-up tracking, review preparation, and stakeholder reporting - Use these workflows to improve business review inputs, leadership updates, and recurring status reporting while reducing manual status chasing WHO YOU ARE - 7+ years of experience in a role combining program management, project management, and executive or leadership support - Prior experience as a Chief of Staff or Engineering Leadership roles a plus - Strong executive presence and the judgment to represent leadership credibly across the org and with external stakeholders - A data-driven, metrics-driven approach to decision making, with the ability to turn fragmented operational signals into clear reporting and insight - Proven ability to drive accountability, coordination, and follow-through across engineering and product teams without direct authority - Strong written and verbal communication skills, including experience owning monthly and quarterly business reviews, executive-facing updates, and cross-functional status reporting - Comfort using automation and AI to improve reporting quality, operating efficiency, and recurring workflow execution - Good judgment in prioritization, escalation, and leadership support in ambiguous or fast-moving situations - Experience owning QBRs, executive reporting, all-hands content, or org planning processes - Familiarity with DORA-style metrics, SLO/SLA thinking, release hygiene, and delivery scorecards - Experience building AI-assisted dashboards, automations, or reporting systems - Experience working in security, SaaS, endpoint, platform, or infrastructure-heavy environments - Experience supporting globally distributed engineering organizations - Prior experience transitioning from a technical or program management background into a Chief of Staff or executive operations role - Located in the Eastern Timezone to support our Global team. Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It. Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe. AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking. Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Задачи: — Разрабатывать и дорабатывать сайты компании с использованием AI-инструментов (Cursor, Claude Code, v0, Lovable и т.п.) — Настраивать, чинить и поддерживать уже существующие сайты — Разбираться в коде собственной CRM (сгенерирована ИИ) — находить и исправлять баги, вносить изменения по запросу — Работать с API, интеграциями и базами данных — При необходимости — автоматизировать рутинные внутренние процессы с помощью ИИ Требования: — Опыт веб-разработки (Fullstack или сильный Frontend+Backend) от 1 года, включая самостоятельные проекты «от идеи до продакшена» — Практический опыт использования AI-инструментов в разработке, включая умение уверенно читать и разбирать код, сгенерированный ИИ — Опыт поддержки существующих проектов: умение самостоятельно находить причину проблемы в незнакомом коде без готового ТЗ — Знание Git / GitHub, понимание баз данных, опыт работы с API — Самостоятельность: важно не просто закрыть задачу по ТЗ, а разобраться в проблеме и предложить решение Будет плюсом: — Опыт доработки проектов, изначально созданных через AI-платформы (Cursor, Lovable, Bolt, v0, Replit Agent) — Опыт работы с CRM-системами и интеграциями с внешними сервисами — Портфолио сайтов, сделанных с помощью ИИ Условия: — Формат: удалённая работа — Занятость: обсуждается индивидуально — Оплата: обсуждается по итогам собеседования Как откликнуться: — Пришлите в личные сообщения @danilakims резюме или краткую информацию о себе — GitHub / GitLab / портфолио — обязательно, если есть 2–3 проекта, которыми вы особенно гордитесь — Желаемый уровень дохода — Кратко: с какими AI-инструментами и технологиями работаете, и был ли опыт разбора кода, сгенерированного ИИ

Обязанности: — Разработка нового функционала на React и доработка уже существующего под руководством ментора — Работа в команде с ментором, участие в обсуждении задач, написание кода, покрытие функционала тестами — Заниматься саморазвитием и повышать свой технический опыт Требования: — Знание JavaScript — Начальные знания по React — Знание HTML5+CSS3, SASS/LESS Приветствуется: — Опыт работы с Redux, TypeScript — Знание протокола HTTP, REST — Опыт взаимодействия с WEB API — Опыт работы с различными UI библиотеками (Bootstrap, Material UI, Ant Design) — Опыт написания тестов Unit, E2E — Git / GitHub Условия: — Работа в удаленном формате — 8 часовой рабочий день — Обучение недостающим навыкам под руководством опытного наставника — Оплата по результатам собеседования

Workplace: remote Location : Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world. Responsibilities : Design and run AWS infrastructure (VPC, IAM, EKS/ECS, S3, EventBridge) and manage it with Terraform across DEV, QA and Production environments Build and maintain CI/CD pipelines and a standardized deployment process for AI agent teams Keep the platform reliable in production: scaling, backups, secrets management, monitoring and alerting Put security best practices in place: network isolation, encryption, least-privilege access and SSO integration Containerize and deploy Python-based AI agents and backend services, and troubleshoot them in collaboration with the development team Develop Python-based automation and internal tooling for infrastructure management and deployment workflows What we expect : 5+ years of experience in DevOps/Cloud Engineering, including ownership of production environments Strong hands-on experience with AWS and Terraform Experience with Kubernetes (preferably EKS), Docker and Helm Experience with CI/CD tools: GitHub Actions, GitLab CI or similar Strong Python skills: writing automation and tooling, and reading, debugging and supporting backend services Experience integrating applications with identity providers via SSO (OIDC/SAML), e.g., Okta or Microsoft Entra ID Understanding of AI agent architecture and its components (LLM APIs, vector databases, agent frameworks) from an infrastructure perspective Ability to work independently and communicate directly with client stakeholders Nice to have : Familiarity with AI platforms and tools: AWS Bedrock, LangChain/LangGraph, vector databases (e.g., ChromaDB), Langfuse Experience with FastAPI Experience in pharma, life sciences or other regulated industries AWS certifications We offer : Competitive compensation Remote or office work Flexible working hours Continuous education, mentoring, and professional development programs A team with excellent tech expertise

Location: Serbia; Latvia; Lithuania; Ljubljana; Moldova; Belarus; Georgia; Kyrgyzstan; Uzbekistan; Azerbaijan; Armenia; Czech Republic; Portugal; Spain; Dubai Workplace: remote About the Team We are Quadcode, a fintech company excelling in financial brokerage activities and delivering advanced financial products to our global clientele. Our flagship product, an internal trading platform, is offered as a Software-as-a-Service (SaaS) solution to other brokers. About the role We're looking for a Linux Administrator to join our Infrastructure team, responsible for building, operating and continuously improving all of our infrastructure services — from core services to observability and private clouds. Our infrastructure supports the stable operation of a large-scale trading platform and includes 2,000+ virtual machines and 300+ physical servers, running predominantly on Ubuntu. The stack ranges from core services like LDAP, PowerDNS and NTP, to an observability stack (Prometheus, Thanos, Loki, Grafana, Jaeger) and private clouds based on OpenStack and Kubernetes, as well as services such as GitLab, Artifactory and Vault. You’ll work in a team of experienced infrastructure engineers, using Scrum and Agile practices, with two-week sprints and a strong focus on automation, reliability and continuous improvement. The position is full-time remote, with a flexible start time — anytime before 12:00 pm EET/EEST. Why this role? You’ll be part of the team responsible for the production environment behind products used by millions of users, working directly with development teams, helping them troubleshoot infrastructure-related issues and keep their services running reliably in production. It’s a good fit for an engineer who enjoys troubleshooting, automation and making infrastructure more reliable and scalable, rather than simply maintaining servers. Tasks Oversee various services and associated infrastructure components, including DNS, Gitlab, Artifactory, Vault, Loki, Prometheus etc; Perform day-to-day operational tasks such as upgrades, CVE patching, backup and restore, security scans, and monitoring; Manage and support private clouds (Openstack and Kubernetes); Design, configure, maintain and troubleshoot Linux systems across different environments, including bare metal, virtual machines and containers. Resolve incidents, provide support coverage, categorize issues, conduct post-mortems, and perform root cause analysis; Ensure environments are stable and adhere to availability SLAs; Work towards reducing operational effort; Automate repetitive operational tasks and continuously reduce manual effort; Collaborate with development teams to troubleshoot infrastructure-related issues in production; Keep infrastructure documentation and operational procedures up to date; Engage in constant upskilling to stay updated with industry best practices. Requirements 3+ years of professional experience as a Linux System Administrator, DevOps Engineer, or Site Reliability Engineer, with a focus on infrastructure. Extensive experience in designing, building, configuring, and troubleshooting Linux servers across various environments (bare metal, container, cloud); Experience with Linux server configuration, maintenance and troubleshooting in production. Understanding of process control, logging and Linux service management. Experience with infrastructure services such as Vault, Artifactory, DNS and similar platform components. Proficiency with automation tools such as Chef, Ansible, or Salt; Experience with Docker, Kubernetes and containerized environments; Experience with monitoring and log aggregation tools like Grafana, ELK, or Graylog; Experience in deploying and maintaining systems on cloud solutions such as OpenStack, VMware, Proxmox, or public cloud platforms such as AWS, GCP, Azure. Skilled in scripting languages such as Bash and Python; Familiarity with configuring various servers and databases, including Apache Tomcat, Nginx, MySQL DB, PostgreSQL, Kafka, RabbitMQ, etc; Experience with DevOps tools and CI/CD workflows. At least C1 in Russian and B1 in English. Nice to have Hands-on experience with Kubernetes, including troubleshooting workloads and cluster-related issues. Hands-on experience with OpenStack, including deployment, configuration, maintenance or troubleshooting of private cloud environments. Hands-on experience with Chef. Experience with GitLab CI/CD, Jenkins or GitHub Actions. Experience working with fintech/trading, or other high-load and mission-critical systems. We offer Full-time remote work (service provider contract). Competitive compensation (EUR). Flexible working hours. Corporate AI subscriptions (Claude, Gemini, GPT, etc.). Access to a rewards marketplace offering products and language courses, redeemable using the company’s internal currency. A strong team of engineers. Positive and friendly atmosphere. With a team of 500+ creative and tech-driven people across the globe, Quadcode is the place where ideas turn into impact, where every project is a chance to grow, innovate, and make your mark. Join us today, and let's shape the future of fintech together! Note: All applications will be treated with strict confidence. We thank all applicants for their interest, however, only those candidates selected for interviews will be contacted. #LI-JM1

Location: Belfast, Northern Ireland, Remote Workplace: remote Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry, by helping customers deliver more personalised and profitable guest experiences. As a result, our digital ordering, payment, loyalty and guest engagement solutions enable brands to do more with less and make every guest feel like a regular. While our roots are in NYC, we’re intentionally investing in Belfast and Northern Ireland as a key hub, with an established leadership presence, a local team, and community for the long term. This role is fully remote, offering you flexibility to work from anywhere within NI. Your new role In this role, you’ll join as a Software Engineer on the ‘BrandX’ team, which is part of the wider ‘Order Engineering’ group. BrandX (Brand Experience) builds the tools restaurant brands and Olo's internal teams use to run their business on Olo. We own the Dashboard that brand operators log into every day, the internal Admin application, and the billing and invoicing systems that turn platform usage into invoices. We also own how brands sign in and manage their users, including SSO and two-factor authentication, and we are building Olo AI Assist, a natural-language assistant inside the Dashboard. The team is seven engineers spread across the US and Europe, and you'd be our first hire in Northern Ireland. Because the team sits between brands, Finance, and the rest of Order Engineering, the work is varied. One week you might be shipping a new Dashboard settings page, the next you're tracing a billing discrepancy across our finance integrations or teaching Olo AI Assist a new skill so a brand can update hours across hundreds of stores just by asking. You'll pair with senior engineers, review and ship code most days, and use Claude Code as a normal part of how you work. How you’ll make an impact Learn the BrandX domain and technology stack, and get to know the brands, Finance partners, and Order Engineering teams we work with. Own small-to-medium features end to end, from understanding the requirement to shipping it, with senior engineers available when you need them. Write code that meets our standards, and participate in code reviews as both author and reviewer. Build reliable and maintainable software, with test coverage that matches the risk of the change. Contribute to the team’s delivery pipeline, including test coverage, CI, and deployment practices. Use Claude Code and GitHub Copilot as your default way of building, and help the team push what these tools can do. Troubleshoot and debug production issues, learning how our systems fit together along the way. Participate in team ceremonies such as daily stand-ups and retrospectives, sharing updates and feedback. Take part in learning activities, including game days and training sessions, to build familiarity with Olo’s tools and processes. Join the on-call rotation, with responsibilities that grow as you learn the team’s systems. What will set you up for success Bachelor’s Degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. 1 to 3 years of professional software engineering experience, or a strong portfolio of shipped projects. Working knowledge of C# and .NET, and comfort reading code you didn't write. Some experience building web UIs. We use React and TypeScript, but any modern framework is a fine starting point. Comfortable with SQL and relational data. A lot of our work is understanding how data moves between systems. You understand the difference between unit, integration, and end-to-end tests and when each one earns its place. AI coding agents are your default way of working. You use tools like Claude Code daily, you can explain the fundamentals underneath what they generate, and you're excited about a team that expects you to push them further. You ask questions early, write things down, and are comfortable working with colleagues in other time zones. About Olo Olo is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source—so restaurants can better understand and better serve every guest on every channel, every time. Over 800 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology’s positive impact and creating a world where every restaurant guest feels like a regular. Learn more at olo.com. Applicant Privacy Notice (United Kingdom)

What we're looking for: — 2+ years of experience in test automation — Strong Python skills for writing and debugging test scripts — Experience with Pytest, Cypress, or similar frameworks — Understanding of client-server architecture and microservices — Experience with CI/CD tools such as GitHub Actions — Familiarity with web application security and performance testing — Experience with Git and QA methodologies Nice to have: — JavaScript/TypeScript — API testing experience (Postman, Swagger) — Databases (PostgreSQL, SQLite) — Kubernetes and performance testing experience

Требования: — Владение английским языком на уровне C1+ (родной уровень) в устной и письменной речи — Минимум 1 год профессионального опыта в разработке — Хорошее знание современных языков программирования и фреймворков, например JavaScript/TypeScript, Python, Java или C# — Опыт работы с системой контроля версий Git и методологиями agile — Хорошие коммуникативные навыки и умение работать в команде — Готовность и надежность для удаленной работы — Опыт использования AI-инструментов для программирования, таких как Claude Code, Cursor, Codex, GitHub Copilot или аналогичные Задачи: — Разработка, тестирование и поддержка качественных программных решений — Взаимодействие с международной командой — Участие в код-ревью и постоянном улучшении процессов разработки Условия: — Зарплата от 1500 до 3000 USD в месяц, в зависимости от опыта и проекта с клиентами

Задачи: — разработка, поддержка и оптимизация CI/CD конвейера для ускорения и повышения надежности процессов разработки и поставки ПО — создание и поддержка инфраструктурного кода: написание и модернизация Helm-чартов, работа с Kustomize — администрирование и поддержка тестовых сред, обеспечение их стабильности, доступности и соответствия требованиям — настройка и развитие систем мониторинга и логирования для кластеров OpenShift/K8s и VM — автоматизация рутинных операций и решение нестандартных задач для повышения эффективности работы команды разработки — освоение, интеграция и поддержка новых программных продуктов и технологий в инфраструктуре банка — выполнение требований внутренних регуляторов в части DevSecOps. Требования: — высшее образование — опыт работы на позиции DevOps\SRE-инженера от 2 лет — понимание методологии DevOps, принципов CI/CD и полного жизненного цикла ПО (разработка, тестирование, интеграция, развертывание, мониторинг) — практический опыт работы с СУБД (PostgreSQL), включая написание SQL-запросов и понимание административных задач — навыки работы с ключевыми инструментами DevOps-стека: Jenkins, Ansible, Git, Nexus, Docker, K8s, Service Mesh, Bash/Python/Groovy, Sonar, ArgoCD, ELK, Prometheus\Grafana — опыт прикладного применения AI-ассистентов (GitHub Copilot, Amazon CodeWhisperer и т.п.) для ускорения разработки IaC, анализа логов, генерации документации. Условия: — офис рядом с метро Кутузовская — формат работы гибридный — ежегодный пересмотр зарплаты и годовая премия — корпоративный спортзал и зоны отдыха — подписка Прайм с возможностью совместного использования на трёх близких — более 400 образовательных программ СберУниверситета для профессионального и карьерного развития — гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ — расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа — вознаграждение за рекомендацию друзей в команду Сбера.

Location: San Francisco NOTE ON ELIGIBILITY: this role is for industry candidates already working in software engineering for the past 1+ years. New grads and current students should NOT apply to this role (instead, visit pplx.ai/newgrads https://pplx.ai/newgrads). ABOUT THE ROLE In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, through Search, Comet, and Computer. Product Engineering owns those experiences end to end, from the interface a user touches to the search and model calls behind it, on top of roughly 200M queries a day and a 200B+ URL index. This is a full stack role in the truest sense. There are no frontend or backend lanes here, and no one waits for a ticket before starting. It suits people who love to build and want the room to do it. What you have shipped and how quickly you learn tell us far more than years on a resume or where you went to school. WHAT YOU WILL DO - Own a user-facing surface end to end, from the interaction, design, and frontend through the application logic, APIs, data models, and the search or model calls behind them. - Ship to production continuously. New engineers typically have code in front of users in their first week. - Build with AI as a primary tool, not a novelty. We expect you to use agents and coding models aggressively to move faster, and to have sound judgment about when their output is wrong. - Turn ambiguous product ideas into working prototypes, then use real usage data and evals to decide what survives. - Raise the quality bar on reliability, latency, and craft for the surfaces you own. - Work directly with designers, PMs, and research engineers, without unnecessary process in between. WHAT WE LOOK FOR - 1+ years of professional software engineering experience, or a track record of strong internships where you shipped production code at scale. - Strong in at least one backend language, such as Python or Go, with real experience across services, APIs, and relational data modeling. Comfortable working in React and TypeScript on the frontend. - Real evidence of building: production work you understand in depth, shipped side projects with actual users, meaningful open-source contributions, hackathon wins, or research you turned into working software. - Comfort with ambiguity and an instinct to start building incrementally rather than wait for a spec. - Hands-on experience with AI products, with opinions about their rough edges and what that means for the product you are building. NICE TO HAVE - Experience with our stack: React or Next.js, Python, Go, PostgreSQL, Redis, Docker, AWS. You will not be expected to know all of it on day one. - Experience building on top of LLMs: AI orchestration, RAG, evals, agents, tool use. - Product taste. You can tell a good interface from a bad one and explain how to improve it. - A public track record we can read, such as GitHub, a technical blog, or a demo we can try.

Location: San Francisco NOTE ON ELIGIBILITY: this role is for industry candidates already working in software engineering for the past 1+ years. New grads and current students should NOT apply to this role (instead, visit pplx.ai/newgrads https://pplx.ai/newgrads). ABOUT THE ROLE In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, through Search, Comet, and Computer. Product Engineering owns those experiences end to end, from the interface a user touches to the search and model calls behind it, on top of roughly 200M queries a day and a 200B+ URL index. This is a full stack role in the truest sense. There are no frontend or backend lanes here, and no one waits for a ticket before starting. It suits people who love to build and want the room to do it. What you have shipped and how quickly you learn tell us far more than years on a resume or where you went to school. WHAT YOU WILL DO - Own a user-facing surface end to end, from the interaction, design, and frontend through the application logic, APIs, data models, and the search or model calls behind them. - Ship to production continuously. New engineers typically have code in front of users in their first week. - Build with AI as a primary tool, not a novelty. We expect you to use agents and coding models aggressively to move faster, and to have sound judgment about when their output is wrong. - Turn ambiguous product ideas into working prototypes, then use real usage data and evals to decide what survives. - Raise the quality bar on reliability, latency, and craft for the surfaces you own. - Work directly with designers, PMs, and research engineers, without unnecessary process in between. WHAT WE LOOK FOR - 1+ years of professional software engineering experience, or a track record of strong internships where you shipped production code at scale. - Strong in at least one backend language, such as Python or Go, with real experience across services, APIs, and relational data modeling. Comfortable working in React and TypeScript on the frontend. - Real evidence of building: production work you understand in depth, shipped side projects with actual users, meaningful open-source contributions, hackathon wins, or research you turned into working software. - Comfort with ambiguity and an instinct to start building incrementally rather than wait for a spec. - Hands-on experience with AI products, with opinions about their rough edges and what that means for the product you are building. NICE TO HAVE - Experience with our stack: React or Next.js, Python, Go, PostgreSQL, Redis, Docker, AWS. You will not be expected to know all of it on day one. - Experience building on top of LLMs: AI orchestration, RAG, evals, agents, tool use. - Product taste. You can tell a good interface from a bad one and explain how to improve it. - A public track record we can read, such as GitHub, a technical blog, or a demo we can try.

Location: Ireland, Dublin 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. Role overview We're looking for a Staff Network Systems Engineer to help drive the transition of our global network infrastructure from manually managed and inconsistent configurations to a standardised, version-controlled and increasingly automated operating model. This hands-on staff-level individual contributor will establish Infrastructure as Code practices, reusable automation, automated validation and safe delivery pipelines. The role will reduce configuration drift, make changes repeatable and auditable, and help the wider team adopt modern software-engineering practices. Working across network engineering, security, architecture and platform teams, you'll help frame and influence technical direction, create practical standards and guardrails, and remain actively involved in enterprise network engineering and operational delivery. What you'll be doing: Assess the network estate, toolchain and operational workflows; identify sources of configuration variance, manual effort and change risk; and help define a phased modernisation roadmap. Establish the Infrastructure as Code operating model, including the authoritative source of truth, configuration standards, source control, peer review, testing, release governance and secure handling of credentials. Build reusable automation using object-oriented or comparable programming languages such as Python and Go (Golang), together with Terraform, Ansible, APIs and configuration-management tooling. Develop CI/CD pipelines with automated linting, testing, intended-state validation, drift detection, policy checks, approvals, controlled rollout and reliable rollback patterns. Partner with engineering, architecture and security teams to translate network intent into version-controlled implementations and influence reference architectures, standards, lifecycle plans and service roadmaps. Lead the safe migration of existing services into the automated model while remaining hands-on during complex delivery, business-as-usual operations, critical changes, troubleshooting and major incidents. Participate in technical authority and design-review forums, mentor engineers, and ensure automation becomes a sustainable team capability rather than knowledge held by a single specialist. What we are looking for: A strong track record of modernising network infrastructure through automation or Infrastructure as Code in a large, complex production environment. Strong software-engineering skills in object-oriented or comparable programming languages such as Python and Go (Golang), including maintainable code, structured data, API integration, testing, error handling and documentation. Practical experience with Terraform, Ansible or comparable tooling, including reusable, idempotent automation components and controlled infrastructure delivery. Strong working knowledge of Git, pull-request workflows, CI/CD pipelines, automated testing, release controls, policy enforcement and secrets management. Deep enterprise networking knowledge across routing, switching, wireless, resilient design, network access control and secure remote connectivity, together with advanced Juniper Mist, EX Series and Junos experience or equivalent platform expertise. Expert troubleshooting and engineering judgement, with experience supporting operational delivery, complex changes, major incidents and root-cause improvement. Staff-level influence and communication skills, including shaping technical direction across teams, building consensus, contributing to governance forums and developing other engineers. Desirable Experience Network APIs and data models, including REST, NETCONF, RESTCONF, JSON, YAML and YANG-based workflows. GitHub Enterprise, GitHub Actions, automated policy enforcement, artefact management and developer enablement. Azure or AWS networking, enterprise authentication, Zero Trust principles and network observability platforms. Architecture governance, technical authority panels, strategic vendor engagement and globally delivered service operations. High-availability gaming, digital-media, creative or similarly demanding production environments. Work Expectations and Measures of Success This is a staff-level role combining hands-on engineering with technical leadership across a global network environment. You'll build production automation, guide others and remain engaged with operational delivery. The objective is to establish an engineering system the team can operate and improve over time while maintaining secure, resilient and supportable network services. Success will be demonstrated through: Increased coverage of network infrastructure managed through version-controlled automation. Reduced configuration drift, manual intervention, operational toil and dependency on individual subject-matter experts. Shorter and more predictable change lead times, with improved auditability, validation and rollback confidence. Lower change-failure rates, maintained service reliability and faster recovery from configuration-related incidents. Sustained adoption of automation standards, modules and delivery practices across the wider engineering team. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. Base $109,400 - $164,000 + Bonus & Benefits. 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 (where applicable) 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: Remote, AMER Workplace: Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We’re looking for a OrioleDB Deployment Engineer to join our OrioleDB Team and help elevate our OrioleDB offering. You’ll work closely with the OrioleDB team, playing an instrumental role in technical decision-making and refining internal methodologies. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions. WHAT YOU’LL BE RESPONSIBLE FOR - Package software into our supabase/postgres repo using Nix (with flakes), and help us transition our packaging from traditional to Nix packaging more over time. - Manage OrioleDB release lifecycles, ensuring timely major, minor, and extension upgrades. - Expand platform release systems to allow developers to increasingly self-service. - Optimize CI/CD and tooling, specifically expanding GitHub Actions, team tooling, and testing/release approaches. - Resolve production issues by proactively identifying and fixing problems in customer deployments. - Maintain best practices and tests to ensure enhanced stability and decreased deployment risks. - co-owning the integration of OrioleDB into the supabase product YOU MIGHT BE A GOOD FIT IF YOU - Have 3+ years of experience with PostgreSQL and its ecosystem, including extensions and performance optimization. - Are an Infrastructure Expert with proven experience in management, tooling, and optimization. - Are proficient in the Nix package management system (including flakes) alongside Ansible, Packer, Docker, QEMU/KVM, AWS, and Kubernetes. - Have experience building for multiple architectures, specifically Linux and Darwin/macOS aarch64 targets. - Are comfortable with polyglot environments, including builds for C/C++, Go, JavaScript, and Rust-based projects. - Communicate clearly across both technical and non-technical audiences, especially when interacting with customers. - Have experience in async or globally distributed teams and value independent, proactive problem-solving. - Are willing to mentor, taking on responsibility for teaching the engineering team to use and contribute to our Nix-based work. - Have experience with integration of emerging features into widely used managed hosted product platforms WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - 200+ team members - 40+ countries - 15+ languages spoken - $496M raised - 430,000+ community members - 30,000+ memes posted (and counting) We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: Oakland, California, United States From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we're delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It's an exciting time to join us: we're creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. About the Role Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies. We're looking for a senior software engineer to join our Orchestration team, which owns the control plane layer of the dbt platform — the scheduler, execution harness, and results processing. You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and QE to deliver work that scales. Technologies You'll Use Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog What You'll Do Design and implement features and performance improvements across the Orchestration team's services — the scheduler, execution harness, and results processing Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions Participate in and review technical designs and pull requests, providing constructive feedback to the team Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability Participate periodically in the on-call rotation, and be mindful of security throughout your work Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Skills We're Looking For 5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up Experience working with distributed systems and cloud computing concepts Demonstrated ability to write well-structured, performant, and well-tested code Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs Can identify design flaws in existing systems and propose improvements Experience with code reviews, design, troubleshooting, and testing Proficiency in a modern backend or systems language such as Python, Java, C++, or C# Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts Bonus Skills Experience in data processing (ETL, ELT) and/or cloud-based data platforms Experience building or working with metadata, catalog, lineage, or discovery/search systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem #LIHYBRID The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $174,915 — $209,906 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Denver, Colorado, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we're delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It's an exciting time to join us: we're creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. About the Role Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies. We're looking for a senior software engineer to join our Orchestration team, which owns the control plane layer of the dbt platform — the scheduler, execution harness, and results processing. You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and QE to deliver work that scales. Technologies You'll Use Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog What You'll Do Design and implement features and performance improvements across the Orchestration team's services — the scheduler, execution harness, and results processing Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions Participate in and review technical designs and pull requests, providing constructive feedback to the team Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability Participate periodically in the on-call rotation, and be mindful of security throughout your work Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Skills We're Looking For 5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up Experience working with distributed systems and cloud computing concepts Demonstrated ability to write well-structured, performant, and well-tested code Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs Can identify design flaws in existing systems and propose improvements Experience with code reviews, design, troubleshooting, and testing Proficiency in a modern backend or systems language such as Python, Java, C++, or C# Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts Bonus Skills Experience in data processing (ETL, ELT) and/or cloud-based data platforms Experience building or working with metadata, catalog, lineage, or discovery/search systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem #LIHYBRID The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Ontario Pay Range $163,920 — $196,712 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.