Разработка вакансии

Задачи: — Backend-разработка масштабируемого highload-проекта; — Создание новых сервисов и поддержка существующих, интеграция внешних сервисов; — Работа в команде разработки; — Участие в улучшении процессов разработки. Требования: — Опыт работы 1-3 года; — Уверенное знание Node.js, Nest.JS; — Опыт работы с микросервисной архитектурой; — Опыт работы с системой контроля версий Git; — Знание PostgreSQL; — Понимание работы Docker, CI/CD и их назначения; — Опыт работы с Kafka / RabbitMQ; — Уверенное знание ООП, SOLID и структуры данных; — Опыт использования AI-инструментов в работе; — Высшее профильное техническое (ИТ) или математическое образование; — Опыт работы в финансовой сфере с высокими нагрузками или в гемблинговых проектах будет преимуществом. Условия: — Удаленный формат работы из любой точки мира; — Гибкое начало рабочего дня и удобный график; — Стабильная конкурентная заработная плата; — Необходимая техника для работы; — Возможность оформить Sick days / Day off и компенсацию больничного листа; — 28 календарных дней отпуска.

Задачи: — Анализ существующего кода проекта, выявление узких мест и областей, требующих изменений и улучшений; — Реализация на C++ слоя доступа к мета-данным, менеджера распределения данных, вспомогательных сервисов, управления инфраструктурой кластера, S3-API операций; — Написание unit-тестов на разработанные функции; — Участие в код-ревью и совместной отладке; — Документирование архитектурных решений и внутренних API. Требования: — Уверенное владение современным C++ (стандарт не ниже C++17); — Опыт многопоточного и асинхронного программирования; — Понимание протоколов TCP/IP, HTTP/HTTPS; — Опыт работы с сокетами или высокоуровневыми библиотеками (Boost.Asio, libcurl, POCO и т.п.); — Знание принципов построения отказоустойчивых и масштабируемых сервисов, понимание CAP-теоремы; — Опыт работы с репликацией данных; — Опыт работы с MongoDB или Key-Value СУБД, понимание транзакций и репликации; — Знание файловых систем и POSIX, особенности работы с файлами в Linux, понимание семантики NFS (кэширование, блокировки, атомарное переименование); — Инструментарий: Gitlab, CMake, Docker (для локальной отладки), опыт написания unit-тестов. Желательно: — Опыт работы с AWS SDK; — Опыт интеграции с системами мониторинга (Prometheus, Grafana); — Умение читать и анализировать существующий код, проводить рефакторинг; — Опыт использования Kubernetes, Nomad, Docker Compose, Podman. Условия: — Возможность удаленной работы из любой точки РФ; — Продвинутая медицинская страховка (ДМС); — Динамичная и активно развивающаяся компания с минимум бюрократии; — Участие в создании высококлассных продуктов и решении сложных задач; — Профессиональный коллектив и комфортная атмосфера; — Перспективы карьерного роста в компании.

Обязанности: • Участвовать в разработке продукта и развитии общей архитектурной концепции. • Работать в мульти-рольном формате: участвовать в смежных задачах (интеграции, UI, инфраструктура), когда это нужно. • Разрабатывать и поддерживать проектную документацию (модули, API, схемы, архитектуру). • Участвовать в тестировании, улучшении UX и стабилизации продукта. • Предлагать улучшения, оптимизировать процессы, повышать скорость разработки и качество кода. • Вести коммуникацию внутри команды, синхронизировать задачи, версии и сроки релизов. Требования: • Готовность работать в стартап-динамике, быстро переключаться между задачами. • Проактивность: умение предлагать решения, а не просто выполнять. • Хорошие коммуникативные навыки, умение работать автономно и в команде. • Понимание современных цифровых продуктов, AI-экосистемы и архитектуры веб-приложений. • Владение современным стеком (React / Vue / Next / Flutter / RN / Node / Python / Go — по профилю). • Навыки разработки интерфейсов, интеграции API, работы с состоянием, модульной архитектурой. • Понимание принципов CI/CD, оптимизации производительности и качества кода. • Плюсом: опыт с WebSockets, PWA, Low-Code редакторами, AI инструментами, Web3-авторизацией. • Опыт с Docker, CI/CD, Linux. • Понимание облаков (Vercel / AWS / GCP / DigitalOcean). • Навыки обеспечения стабильной работы сервисов и окружений. Условия: • Формат: удалённо, гибкий график. • Работа в мульти-задачной среде с быстрыми релизами и живой архитектурой. • Возможность влиять на продукт, новые модули и технические решения. • Доли / опционы / токены (по согласованию). • Участие в подаче грантов (ФСИ, Старт, Сколково, UMNIK). • Реальный рост роли и быстрый переход в core-team при успешном финансировании. • Возможность стать руководителем направления (Frontend, Fullstack, Mobile, AI, DevOps, Web3). • Доступ к передовым AI-инструментам, внутренним моделям и инфраструктурным сервисам. • Возможность релизить open-source модули, публиковаться, выступать. • Доступ к премиальным инструментам разработки и AI-модулям. • Возможность роста в R&D, архитектуру, руководство направлением.

Задачи: -разработка высокопроизводительной и масштабируемой ITSM системы -проектирование, разработка и масштабирование микросервисов -работа в тесном сотрудничестве с другими членами команды разработки, devops, QA инженерами и аналитиками. Стэк: -Java 21, Spring Boot 3, Maven, Docker, Openshift, Hibernate, PostgreSQL Требования: -опыт коммерческой разработки на Java от 5 лет. -знание Java Core, основных фреймворков и инструментов. -опыт разработки надежных, масштабируемых и высоконагруженных систем. -понимание принципов объектно-ориентированного программирования и проектирования. -знание и опыт работы с базами данных -навыки работы с генеративными AI-моделями.

Задачи: - Разработка REST API для внутреннего и внешнего использования - Разработка административных интерфейсов (bpm-система) - Разработка автоматизированных тестов (BDD) - Документирование разработанного кода - Анализ, рефакторинг и оптимизация производительности серверной части сервисов платформы - Разработка нового и поддержка существующего функционала серверной части платформы. Требования: - уверенное знание Python - фундаментальные знания в области информационных технологий - понимание принципов Clean Architecture - linux, bash, git - опыт работы с Docker - опыт работы с любым web-фреймворком - уверенное знание SqlAlchemy - умение написать оптимальный SQL-запрос.

Location: Remote - United States About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We are looking for a Security Software Engineer, IAM, to build identity and access management (IAM) infrastructure as software, not administer identity products, and this role suits a software engineer who has gone deep on identity or an IAM engineer with a strong engineering background. You will own identity and IAM end to end, replacing the approval queue with access that is self-serve, time-bound, and provable, built so identity is defined as code, reviewed in pull requests, deployed through CI, and observable in production, and you will help decide how agents act on behalf of users and systems. This is a hybrid role based in San Francisco or New York City, with three days a week in the office. What you’ll do Migrate Okta and related IAM configuration to Terraform so every identity change is reviewed, tested, and versioned, and help engineering teams adopt infrastructure as code Build a self-serve access platform, including just-in-time (JIT) access, that lets team and system owners define, request, and time-bound their own access Own provisioning, deprovisioning, and access review workflows that generate System and Organization Controls 2 (SOC 2) audit evidence automatically Unify corporate IAM (employee identity, SaaS access, devices) and production IAM (service accounts, infrastructure permissions, on-call access) into one identity plane, and enforce least-privilege access across cloud, SaaS, and production infrastructure Define and build how agents request and hold access, working with the Accounts team on product-facing identity What you need 7+ years building and owning identity, access management, or platform security systems, including IAM design across corporate (Okta or equivalent) and production (AWS or GCP) environments Built and operated production services or self-service platforms in TypeScript/Node.js, Go, or Python, including REST APIs Implemented OAuth2, OpenID Connect (OIDC), Security Assertion Markup Language (SAML), and System for Cross-domain Identity Management (SCIM) at the protocol level, including failure modes such as token replay and sync drift Managed IAM infrastructure as code in Terraform Bonus if you Led a Terraform migration for IAM or identity infrastructure at scale Designed or built a JIT access system or access governance platform Designed delegation or scoped-credential models for agents or service identities Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $208,000 - $312,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Oakland, California, 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. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a talented Software Engineer with a passion for building enterprise grade software to join the team. You will be focusing on developing world-class enterprise capabilities and features in support of our largest and most sophisticated customers. The work we do is both highly visible and critically important to the long term growth and success of Fivetran. You will have an impact across the entire product as we develop our next generation of enterprise, data governance, and solutions engineering offerings. This team is tasked with evolving a high performance extract-load-transform data integration system that enables our connector teams to ship the Fivetran ELT product using powerful abstractions. The role will challenge you to solve problems in the domains of performance engineering, data security, and cluster orchestration. You don’t necessarily need to be a subject matter expert before you join us (you will be one before you leave!). We're looking for people who can understand the key values that make our product great and implement those values in the many small decisions you make every day. This is a full-time position based out of our Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. What You’ll Do Design and implement features and performance improvements to create highly scalable distributed data pipelines on the cloud. Develop, maintain, and test code. Conduct design and code reviews. Collaborate with peers, product managers, customer support, and other stakeholders to deliver the best product with high quality, performance, and scalability. Participate periodically in on-call rotation. Make Fivetran the most reliable and secure component of our customers’ data infrastructure. Skills We’re Looking For Bachelor's degree, preferably in Software Engineering or Computer Science. 3+ years of experience in the software industry with a passion for solving complex software engineering problems. Software engineering foundation - experience designing and developing reusable libraries and experimentation platforms for backend and frontend from scratch leveraging industry best practices. Demonstrated ability to write well-structured and performant code. Ability to lead software and infrastructure design to satisfy project requirements. Experience in code reviews, design, troubleshooting and testing. Experience programming in an object oriented / systems language such as Java, C++, C# etc. Experience interacting with continuous integration tools like Buidkite. Knowledge of observability tools like New Relic/Grafana is a plus. Knowledge of Data Engineering is a plus. Understand how to use AI code assist and coding agents to automatically generate code for features, bugs, testing, and investigation. Ability to use conversational AI systems (like Claude, ChatGPT, and internal chatbots) to support researching, authoring, reviewing, and synthesizing various SDLC artifacts. Bonus Skills​ Hands-on experience working with any cloud technologies (AWS, GCP, Azure) and containerization methodologies like Docker, K8s. Experience in data processing (ETL, ELT) and/or cloud-based platforms. #LI-HYBRID #LI-DC2 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 $140,592 — $168,717.50 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.

Задачи: — Коучинг, наставничество, руководство и мотивация команды инженеров из разных сфер. — Управление всеми аспектами people management, включая найм и обучение сотрудников, проведение 1:1, парного программирования, воркшопов и тренингов. — Обеспечение доставки кода в условиях высокого доверия с использованием практик continuous delivery, поддержание ритма поставок и взаимодействия с заинтересованными сторонами через демонстрации, ретроспективы и разборы инцидентов без поиска виноватых. — Ведение примера в написании кода, проведении код-ревью, исправлении багов, а также предоставление технических советов и документации по системам и процессам. — Оценка технической архитектуры инфраструктуры и внедрение современных отраслевых трендов. Требования: — Подтверждённый опыт работы на позициях Senior или Staff Software Developer. — Опыт технического лидерства в решении сложных задач, включая архитектурное проектирование и управление поставкой решений. — Значительный опыт работы с крупными системами на одном или нескольких языках программирования, предпочтительно с SaaS-продуктами. — Опыт управления организационными изменениями и внедрения новых процессов. Условия: — Автономия и гибкая рабочая культура с возможностью работать удалённо или из офиса. — Реальные возможности карьерного роста в быстрорастущей компании. — Работа с высоконагруженными продуктами с глобальной пользовательской базой. — Возможность сотрудничать с опытными инженерами, развивать навыки и строить отношения в разнообразной и инклюзивной культуре. — Программа акций Lightspeed. — Неограниченный оплачиваемый отпуск. — Возможность удалённой работы до 60 дней в году. — Гибкая политика работы. — Пакет медицинских и оздоровительных льгот, включая $500 в год на здоровье, онлайн-платформу для ментального здоровья, оплачиваемый отпуск для новых родителей, день волонтёрства, страхование здоровья с премиальным покрытием. — Бесплатные завтраки и обеды, свежие фрукты, закуски и напитки в офисе. — Субсидия на общественный транспорт до 75% стоимости проезда. — Регулярные мероприятия от Auckland Culture Club. — Полностью оборудованные офисные помещения в Newmarket (Auckland). — Дружелюбная к собакам среда. Контакт для отклика отсутствует в тексте.

Location: Remote: United States; Remote: Canada Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE As a Software Engineer on Developer Velocity, you'll design and build the internal platform, tooling, and automation that lets every Render engineer move quickly and safely. You'll drive changes in our local development environments, CI/CD pipelines, test infrastructure, and the metrics we use to understand and improve how we ship. You'll work across the entire engineering org, identify where friction lives, and remove it, measurably. WHAT YOU'LL DO - Improve speed and reliability of early change feedback - Invest in build and dependency tooling, caching, incremental builds, and monorepo ergonomics, to keep iteration tight as the codebase grows. - Accelerate our CI/CD pipelines - cutting build, test, and deploy times while keeping the path to production safe and reversible. - Make our test suites fast and trustworthy: parallelization, smart test selection, flaky-test detection, and better local/preview environments built on the same primitives our customers use. - Design and build tools to support concurrent agent execution - Make test feedback fast enough to live inside an agent's loop, where slow or flaky runs compound across every attempt. - Get agents the right context (codebase conventions, service ownership, recent changes, environment state) so their first attempt lands closer to correct. - Simplify and establish repeatable patterns - Reduce toil through automation, paving over repetitive workflows and manual steps wherever they slow people down. - Instrument the engineering org with meaningful signals (deployment frequency, lead time for changes, change failure rate, time to restore) and turn them into action. - Build and participate in an on-call rotation as the team takes ownership of critical systems. WHAT WE'RE LOOKING FOR - Experience building and operating developer-facing tooling, CI/CD systems, or internal platforms that other engineers depend on every day. - Experience driving cultural and process changes to make engineering teams more effective. - Strong software engineering fundamentals and a track record of shipping, maintaining, and debugging production systems. - Proficiency in Go (or a strong willingness to ramp quickly, it's our primary language). - Hands-on experience with Kubernetes or similar container orchestration. - Familiarity with infrastructure-as-code tools (yup, Terraform). - A bias toward measurement: you instrument what you build and let data tell you whether you actually made things faster. - You empathize deeply with engineers, fixing developer pain points in an elegant and sustainable manner is something that resonates deeply with you. NICE-TO-HAVES - Experience improving build systems, test infrastructure, or developer experience at meaningful scale - Bazel, Concourse, and GitHub workflows are old friends. - Familiarity with observability tools like Datadog, Grafana, and OpenTelemetry. - Comfort working close to the metal - Linux, containers, kubernetes - you get your hands very dirty. - Security-minded instincts, especially around supply chain and the path from commit to deploy. - Understanding that the question isn't "AI pilled vs AI skeptic", but rather where to use it as an accelerant, and where human context must come first. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. 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. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applicants from Canada time zones only at this time. Staff AI Engineer The Opportunity: At Grafana, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. The Grafana AI teams play a key role in this mission by helping users make sense of complex observability data through AI-driven features. These capabilities reduce toil, lower the barrier of domain expertise, and surface meaningful signals from noisy environments. What makes our team different is how we work: we operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for an AI Software Engineer with a strong software engineering background, a quick iteration mindset, and a passion for experimentation – balanced by a focus on shipping and scaling impactful features that deliver value to users. You’ll work closely with cross-functional teams to develop, test, and ship AI-powered features that contribute to improving infrastructure and observability quality through automation, while also expanding the capabilities of AI agents across the observability stack to assist users with incident response. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. Curious about what it's like to build AI at Grafana? Learn more about the team's philosophy, culture, and approach here . What You’ll Be Doing: Build and deliver AI solutions: Take ownership of developing high-performance AI features to help users detect, triage, and resolve incidents using observability data and tools. Rapid experimentation and iteration: Implement a highly iterative process where you quickly prototype, test, and validate with real users, including shipping and evolving LLM- or agent-powered workflows for incident lifecycle management and automated analysis tasks. Collaborate cross-functionally: Work with data analysts, product managers, and designers to shape AI-driven product features, including integration of agentic components with internal tools, alerting systems, runbooks, and developer workflows. Utilize AI tools effectively: Use AI and automation tools to enhance both product functionality and your own development workflows. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What Makes You a Great Fit: Strong engineering skills: Solid experience building production software systems (backend and / or full stack). You’re a self-starter, capable of tackling complex engineering problems with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with peers, product managers, and designers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Requirements: Experience with LLMs, prompt engineering, and building applications powered by GenAI. Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points For: Experience building or working with agent frameworks or multi‑agent workflows. Experience with infrastructure / devops related tooling: Kubernetes, Docker, Terraform or similar for deployments. Familiarity with model fine-tuning techniques. Experience building observability tooling. Compensation & Rewards: In Canada, the Base compensation range for this role is CAD 186,368 - CAD 230,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applicants from USA time zones only at this time. Staff AI Engineer The Opportunity: At Grafana, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. The Grafana AI teams play a key role in this mission by helping users make sense of complex observability data through AI-driven features. These capabilities reduce toil, lower the barrier of domain expertise, and surface meaningful signals from noisy environments. What makes our team different is how we work: we operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for an AI Software Engineer with a strong software engineering background, a quick iteration mindset, and a passion for experimentation – balanced by a focus on shipping and scaling impactful features that deliver value to users. You’ll work closely with cross-functional teams to develop, test, and ship AI-powered features that contribute to improving infrastructure and observability quality through automation, while also expanding the capabilities of AI agents across the observability stack to assist users with incident response. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. Curious about what it's like to build AI at Grafana? Learn more about the team's philosophy, culture, and approach here . What You’ll Be Doing: Build and deliver AI solutions: Take ownership of developing high-performance AI features to help users detect, triage, and resolve incidents using observability data and tools. Rapid experimentation and iteration: Implement a highly iterative process where you quickly prototype, test, and validate with real users, including shipping and evolving LLM- or agent-powered workflows for incident lifecycle management and automated analysis tasks. Collaborate cross-functionally: Work with data analysts, product managers, and designers to shape AI-driven product features, including integration of agentic components with internal tools, alerting systems, runbooks, and developer workflows. Utilize AI tools effectively: Use AI and automation tools to enhance both product functionality and your own development workflows. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What Makes You a Great Fit: Strong engineering skills: Solid experience building production software systems (backend and / or full stack). You’re a self-starter, capable of tackling complex engineering problems with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with peers, product managers, and designers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Requirements: Experience with LLMs, prompt engineering, and building applications powered by GenAI. Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points For: Experience building or working with agent frameworks or multi‑agent workflows. Experience with infrastructure / devops related tooling: Kubernetes, Docker, Terraform or similar for deployments. Familiarity with model fine-tuning techniques. Experience building observability tooling. Compensation & Rewards: In the United States, the Base compensation range for this role is USD 174,986 - USD 220,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Требования: - Знание Go - Умение писать SQL-запросы и понимать их логику - Базовое понимание Kafka и REST - Неравнодушие к делу, готовность учиться, развиваться и работать в команде Обязанности: - Развивать продуктовый механизм промоакций - Взаимодействовать с другими командами для корректной передачи данных о ценах - Помогать переводить текущие системы на новые решения Условия: - Обучение на 3–4 курсе бакалавриата или 1–2 курсе магистратуры на ИТ-специальности из списка Минцифры - Готовность работать не менее 20 часов в неделю - Возможность увидеть трансформацию компании в маркетплейс - Практический опыт написания кода для реальных продуктов - Дружная и опытная команда, дополнительное обучение, корпоративные мероприятия, скидки от партнеров.

Задачи: — Разрабатывать интерфейсы платформы DAP — Поддерживать UI на Angular — Участвовать в проектировании пользовательского опыта — Документировать и тестировать front-end часть системы Требования: — Базовые знания TypeScript, Angular — Знания HTML/CSS — Опыт работы с REST API Будет плюсом: — Знание Figma — Опыт с RxJS / Signals — Навыки тестирования с Jest, Karma, Mocha Условия: — Работа над перспективным финтех-направлением в Казахстане — Сильная продуктовая команда — Реальные задачи и возможность быстрого роста — Современный офис в Almaty Towers — Условия и зарплату обсудим на интервью

Задачи: — разработка и поддержка микросервисов на Python с использованием FastAPI — проектирование архитектуры, реализация бизнес-логики, интеграция с внешними сервисами — подготовка к продакшену: покрытие тестами, логирование, деплой, CI/CD — участие в аналитике данных и формировании отчётности для бизнеса и продуктовой команды — проверка продуктовых и технических гипотез, участие в A/B-экспериментах и анализ их результатов — работа с метриками сервисов, интерпретация данных и предложение улучшений на основе аналитики Требования: — опыт коммерческой разработки микросервисов на python — от 2 лет — уверенное владение асинхронным программированием в python (async/await) — отличное знание fastapi, понимание внутренней архитектуры фреймворка — опыт работы с sqlalchemy (core и orm), написание и оптимизация sql-запросов — знание redis — реализация кэширования, очередей задач и временных хранилищ — навыки работы с celery для фоновых задач и отложенных операций — опыт написания тестов (unit, integration, api), работа с pytest — навыки логирования, настройки структурированных логов, мониторинга и алертов — опыт настройки и использования docker, docker compose, деплой через nginx — понимание принципов ci/cd: настройка пайплайнов, автоматическая проверка кода, линтеры и тесты — уверенное владение git, опыт работы в команде с использованием gitflow — опыт работы с реальными production-проектами, умение читать и дорабатывать чужой код Условия: — работа в офисе — команда опытных разработчиков, code review — участие в интересных и стабильных проектах, рост и обучение внутри команды

Location: Chișinău, Chișinău Municipality, Moldova About the Role Join Alvys, an early-stage company transforming the $800B US freight industry. As a Senior Full-Stack Engineer, you’ll build and operate key parts of our cloud-native SaaS platform—spanning backend services, frontend applications, and cross-cutting system components. You will own features end-to-end, partner closely with engineering, product, and design, and help advance both the technical foundations and user experience of our products. Industry Insight Transportation logistics is massive, fragmented, and still largely underserved by modern software. You’ll be helping define the future of how freight moves by contributing to automation, operational intelligence, and workflow modernization at scale. About Alvys Alvys is building a multi-tenant SaaS platform that powers modern transportation operations. We combine deep industry knowledge with strong technical execution to bring clarity, automation, and reliability to one of the world’s most essential industries. Our Principles Engineering Principles: Build for Real-World Impact — Our users rely on Alvys to solve real problems, not abstract ones. Every feature we ship is designed to reduce friction, increase efficiency, and drive tangible results for the people moving freight every day. Extreme Ownership and Empowerment — Ownership extends beyond building—it means being accountable for quality, reliability, and customer impact. If it's in production, it's yours—bugs, uptime, and results. Technology Debt is Strategic, Not Accidental — Technical debt is a strategic choice, not an oversight. We incur it deliberately when it unlocks speed, learning, or market advantage. Our architecture remains clean, maintainable, and scalable as we grow. Simplicity Scales; Complexity Costs — Logistics is inherently complex, but our technology shouldn't be. We prioritize simplicity in our architecture, leveraging modularity and well-defined service boundaries to reduce cognitive load. Radical Transparency — We democratize data and make it accessible across all functions to drive alignment and decision-making. Transparency also means feedback—we systematize constructive feedback loops to ensure growth. Engineering Culture: Move Fast, Learn Fast — Speed is our advantage, but we move fast intentionally. We bias for action, assume positive intent, and treat every mistake as a learning opportunity. Own the Outcome — Every engineer owns outcomes, not tickets. We take responsibility end-to-end—identifying problems, delivering solutions, and ensuring they last. Engineering-Led, Customer-Driven — Engineering leads by shaping technical strategy, but never in isolation. Designers, PMs, and Engineers share context and decisions, keeping customer outcomes at the center. Pragmatism Over Purism — Elegant code matters, but business impact matters more. We choose solutions that scale, are maintainable, and solve real customer problems—not theoretical ones. People Over Heroics — We don't reward burnout or always-on behavior. Sustainability is a feature, not a luxury. If someone needs to slow down, unplug, or take care of life outside work—that's expected. Tech Stack Backend: .NET/C#, CosmosDB, Cognitive Search, Azure Services Frontend: TypeScript, Angular, React, Dart/Flutter Infrastructure & Ops: Azure, Azure Monitor, App Insights, CI/CD through DevOps / GitHub Actions pipelines Integrations: Multiple third-party APIs and workflow systems Minimum Qualifications Fluent in English —spoken and written Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field. 5+ years of professional engineering experience across both frontend and backend development. Strong proficiency in at least one modern backend language (C#, Java/Kotlin, TypeScript/Node). Proficiency in at least one modern frontend framework (React, Angular, or Vue). Experience with relational and NoSQL databases in production environments. Experience with at least one major cloud provider (Azure, AWS, or GCP). Ability to collaborate effectively with designers, product managers, and cross-functional partners. Preferred Qualifications Experience building large-scale, high-traffic systems. Experience leading or mentoring other engineers. Experience with C#/.NET or Angular is a plus. Experience developing responsive, data-rich interfaces. Experience contributing to or maintaining design systems. Familiarity with CI/CD tooling such as Azure DevOps. Background in logistics or transportation is a bonus. Responsibilities Build, own, and operate full-stack features from design through deployment. Develop robust backend services and intuitive, high-quality UIs for web and native applications. Work closely with design and product to deliver consistent, user-centric experiences. Improve engineering patterns, reliability, performance, and developer experience across the stack. Provide mentorship and guidance to peers across frontend and backend disciplines. Advocate for engineering excellence, maintainability, and scalability in all areas of the product. We offer: Official and competitive salary in USA$; Private medical insurance; Hybrid/Remote work model; Regular revisions of remuneration package; Budget for Sports and Learning and Development Work in an international environment within a professional in-house team of engineers; Chisinau city center location; Corporate and team building events for employees.

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE The Financial Intelligence team, part of Ramp's Applied AI org, powers the agentic analysis, FP&A, and book-close experiences that over 70,000 businesses rely on to run their finances. We turn messy financial data into a fast, trustworthy, governed data layer that AI agents can work with and build artifacts on top of. This is a frontend-leaning role for an engineer who obsesses over interaction design and data-dense UX, but is just as comfortable designing the API that feeds it. You'll own the surfaces customers actually touch: agentic financial analysis, month-end close, and exploratory data experiences that feel as polished as the best business intelligence tools. If you want your frontend work to sit at the center of real production LLM systems rather than being bolted on at the end, this is the role. WHAT YOU’LL DO - Design and ship customer-facing AI experiences end to end, from React UI through to the APIs and data contracts behind them - Build BI-tool-quality interfaces for agentic analysis, FP&A, and book-close workflows: fast, dense, interactive, and trustworthy - Own complex client-side state and rendering challenges across data-heavy, real-time, agent-driven surfaces - Partner on API and backend design so the full stack serves the product, not the other way around - Use the latest coding models and agentic workflows as a core part of how you ship every day WHAT YOU NEED - Deep frontend expertise: TypeScript, React, and sophisticated state management in complex, data-intensive applications - Fluency with the latest AI coding models and agentic development workflows. This is how the team works, and we expect you to be excellent at it - Comfort working across the stack, including API design and backend systems, even with frontend as your center of gravity - A track record of shipping polished, production-grade product experiences and owning them through ambiguity - Bonus: experience with BI tools, data visualization, or financial/analytics products BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Norwalk, Connecticut, United States Graham Capital Management, L.P. (collectively with its affiliates, "Graham") is an alternative investment manager founded in 1994 by Kenneth G. Tropin. Specializing in discretionary and quantitative macro strategies, Graham is dedicated to delivering strong, uncorrelated returns across a wide range of market environments. As one of the industry’s longest-standing global macro and trend-following managers, Graham remains committed to innovation, evolving its strategies through a robust investment, technology, and operational infrastructure. Graham harnesses the synergies between its discretionary and quantitative trading businesses to offer a broad suite of complementary alpha strategies, each built on the principles of thoughtful portfolio construction, active risk management, and diversification by design. Graham invests significant proprietary capital alongside its clients – including global institutions, endowments, foundations, family offices, sovereign wealth funds, investment management advisors, and qualified individual investors – reinforcing alignment of interests across all strategies. The foundation of Graham’s sustainability and success is the experience and contributions of its people. The firm seeks to cultivate talent, encourage the diversity of ideas, and respect the contributions of all. In turn, each employee shares in the responsibility of strengthening those around them. Description Graham is seeking a mid-to-senior level Software Developer to design, build, and support Windows and web-based applications related to middle and back-office processing, real-time pricing, and valuation. The successful candidate will join a small, collaborative development team and work closely with technology peers, business users, and other stakeholders to deliver robust, maintainable software solutions that support critical investment operations. Responsibilities Design, develop, enhance, and maintain Windows- and web-based applications supporting middle and back-office processes, real-time pricing, and valuation Analyze existing systems to identify opportunities for improved robustness, scalability, performance, reliability, and maintainability Conduct unit, integration, and product testing to support high-quality releases across the software development life cycle Collaborate with developers, business users, and other stakeholders to gather requirements, define scope, and deliver robust software solutions aligned with business needs Effectively manage time and priorities while contributing to multiple projects simultaneously Requirements Bachelor's degree in computer science or a related field 5+ years of software development experience within the financial services or investment management industry Experience with a meaningful combination of the following technologies, concepts, and financial systems: C#, object-oriented programming, concurrency, Agile development practices, and unit testing Windows Forms, WPF, ASP.NET MVC, Angular, JavaScript, Web API, and related Windows and web application frameworks SQL Server, data modeling, query development, and application data integration. Messaging-oriented middleware (MOM), service-oriented architecture (SOA), APIs, and distributed systems concepts Coding agents and AI-assisted development tools, used appropriately within secure and quality-controlled development practices Portfolio management systems, including security master, trades, allocations, positions, and P&L workflows Valuation workflows, real-time market data APIs, and financial modeling concepts This role requires commuting into our Rowayton, CT office Mondays through Fridays. Base Salary Range The anticipated salary range for this position is $115,000 to $215,000.  The anticipated range is based on information as of the time this post was generated and does not include any discretionary bonus or benefits (see eligibility below). The applicable annual salary or hourly rate paid to a successful applicant will be determined based on multiple factors, including without limitation the nature and extent of prior experience, skills, and qualifications.  This wage range may be modified in the future. In addition, the employee who fills this role will be eligible for a discretionary annual bonus, as well as a wide array of benefit programs, such as medical and life insurance, 401(K) plans, and access to other healthcare programs. Notes: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, benefits, or any other form of compensation that a particular employee may be eligible for remains in the Company's sole discretion unless and until paid and may be modified at Graham’s sole discretion, consistent with the law. Other Graham is committed to providing equal employment opportunity to all employees and applicants for employment without regard to their race, color, religious creed, gender, age, national origin, ancestry, alienage, citizenship status, handicap, disability, marital status, sexual orientation, gender identity, pregnancy, childbirth or other related conditions, military status, genetic information, or any other personal characteristics protected by applicable law. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, layoff, termination, transfer, leave of absence and compensation. Graham offers health benefits to eligible full-time U.S. employees, including medical, dental, vision, life and disability insurance, as well as other voluntary benefits such as spending accounts (HSA and FSA), and a profit contribution retirement plan.  All employees also receive paid vacation and sick leave.  Benefits eligibility is dependent upon a variety of factors, including employee classification and applicable waiting periods.  Benefits are subject to change and may differ for non-U.S. roles.