Вакансии

🧩 Требования: владение C# и TypeScript на уровне middle‑разработчика и выше, понимание ООП/GoF/SOLID/MVC/CQRS/OpenAPI/OTel, практический опыт построения сложных архитектур с применением паттернов проектирования, опыт проектирования реляционных и нереляционных БД и оптимизации запросов, владение инструментами мониторинга и профилирования;

We're looking for a hands-on AI Engineer to take ownership of the architecture and development of our autonomous agent system. You'll lead the technical direction of the platform, building multi-agent orchestration systems, self-improving agent harnesses, and AI-powered backend services.

Location: Chicago, IL or Remote CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy , creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We’re pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey. Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at www.cccis.com . The Role As a Senior AI Engineer you will own LLM-powered systems and agentic workflows for our customers. These systems automate the routine parts of a claim and guide customers on the rest, so they have to earn that trust with a measured accuracy you can defend as models change and usage grows. Agents run as steps inside deterministic workflows, and privacy and security are design baselines, not review gates. Agentic coding tools are how you move fast. What you add is what they are worst at: system architecture, code quality, security, and the debugging nobody else gets to the bottom of. You own a product area end to end and define the eval bar it ships against. Salary range is: $180,000 - 225,000 This position is bonus eligible. Key Responsibilities: Own the delivery of LLM-powered systems in Python and TypeScript, from an ambiguous customer problem, scoped with product managers and data scientists, through production operation. Set the evals and guardrails strategy for your area: what gates a release, what production signals the team watches, and how a change is simulated against historical claims before it ships. Raise the bar for how the team works with agentic coding tools: sharpen the specifications, instruction files, hooks, and permission policies they run under, and hold generated code to the same review standard before it merges. Design the NLP pipelines that turn unstructured claim data into structured data customers can act on, choosing where semantic search, classical NLP, or an LLM fits. Build and operate durable, event-driven, multi-tenant systems in which agents run as steps inside deterministic workflows, designing their failure modes, replay semantics, and cost profile before they show up under load. Own tracing and audit for your area: every model call and agent step recorded, so any recommendation can be reconstructed and cited back to its sources by on-call and auditors alike. Set the privacy and security baseline every system in your area starts from: tenant isolation, least-privilege access for agents and their tools, redaction, retention, and what data may reach a model provider. Author the design documents for complex systems to get feedback and buy-in, review other engineers' designs and code with the same care, and mentor the engineers in your area. Take part in a shared on-call rotation for the systems you own. Requirements: 6+ years of professional software engineering experience, including an LLM-powered system you architected, shipped to external customers, and carried through at least one model or prompt migration. Python and TypeScript at the level of setting a team's conventions: the async model, typing strictness, and test strategy for a shared codebase, plus a performance problem you profiled and fixed. An evals and guardrails strategy you set for a product area others built in: where human approval was required, and how production corrections re-entered the evals. A clear account of how you constrain an agentic coding tool's context and verify its output, from daily use of Claude Code, Cursor, GitHub Copilot, or similar on production work, plus changes you turned back, and why. Pipelines you designed that blend LLMs, semantic search, and classical NLP, including a retrieval design you can defend and a case where a classical technique beat an LLM on cost, latency, or reliability. Durable, event-driven systems you designed with deterministic orchestration around non-deterministic model steps: compensating actions, idempotency, backpressure, and event-sourced replay. Data modeling and development across relational, document, and graph databases such as PostgreSQL, MongoDB, and Neo4j, including when each type fits and the partition-key, consistency, and tenant-isolation calls you made. Systems architected and operated on Azure or AWS, with CI/CD and infrastructure as code, and hands-on time with a durable workflow engine such as Temporal or the Durable Task Scheduler. Technical design documents you have authored for systems that span more than one team, used to get feedback and buy-in before building, and that those teams then built to. Clear writing and discussion for technical and non-technical audiences: drawing out a customer's real problem and explaining the trade-offs back to them. Even Better if You Have: React and TypeScript experience, so you can deliver a full-stack feature end to end, especially chat, streaming, and citation-heavy AI experiences. Experience with agent frameworks, LangGraph, PydanticAI, and the Microsoft Agent Framework among them, and with the ways agents reach their tools: the Model Context Protocol (MCP), the Agent2Agent (A2A) protocol, command-line tools, and microservices. Experience with LLM observability and evaluation tooling such as LangSmith, Arize, or Braintrust, and with OpenTelemetry-based tracing. Experience designing A/B tests for AI features. Exposure to the insurance, claims, or automotive repair domains. What Success Looks Like: In your first six months, every model change in your area is gated by evals you designed, regressions are caught before a customer sees them, and you can show the accuracy number held or moved. You are trusted with the high-stakes, ambiguous problems, and you turn them into a roadmap, a shipped system, and a number you can put in front of a customer. You are energized by what agentic coding tools make possible. Your team ships more than its headcount suggests, and your specifications and reviews are why the output survives production. You have a passion for systems that last: the ones you design have their failure modes understood in advance, and when one fails anyway, the trace says exactly where. Privacy and security reviews of systems in your area find nothing that was not already designed in. Standards you set for evals, reviews, and design documents outlive the project they started on. Engineers you mentor ship LLM-powered features with evals and guardrails in place without your direct involvement. You enjoy getting a product manager, a data scientist, and a customer's team into one room and coming out with a single agreed scope, and you can argue a position without needing to win it. You embrace our ambitious, collaborative, and empathetic values, and you like problems where the answer has to be measured rather than argued. Interview Policy & Privacy Notice: A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available HERE . About CCC's Commitment to Employees: CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most. At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC’s success. CCC offers competitive compensation and benefits to support you and your families, including: 401K Match Paid time off Annual Incentive Plan Performance Bonus Comprehensive health insurance Adoption Assistance Tuition Reimbursement Wellness Programs Stock Purchase Plan options Employee Resource Groups For more information about our benefits, please check out our careers site . Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture here

Location: Chicago, IL or Remote CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy , creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We’re pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey. Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at www.cccis.com . The Role As an AI Engineer you will build and ship LLM-powered features and agentic workflows for our customers. These features automate the routine parts of a claim and guide customers on the rest, so they have to earn that trust with measured accuracy, not a convincing demo. Agents run as steps inside deterministic workflows, and privacy and security are design baselines, not review gates. Agentic coding tools are how you move fast. What you add is what they are worst at: system design, security, and hard debugging. You own features end to end. Salary range is: $170,000 - 195,000 This position is bonus eligible. Key Responsibilities: Ship LLM-powered features and agentic workflows in Python and TypeScript, from a problem scoped with product managers and data scientists through production traffic, and help set the metrics you will be measured against. Write the evals, guardrails, and feedback loops that make your features trustworthy, and hold them to explicit token and latency budgets. Use agentic coding tools every day, and own the review of what they produce: catch the correctness, security, and design problems in generated code before you open the pull request. Maintain and extend the NLP pipelines that turn unstructured claim data into structured data customers can act on, blending semantic search, classical NLP, and LLMs. Build and operate durable, event-driven services in which agents run as steps inside deterministic workflows, with checkpointed model outputs so a retry does not re-invoke a completed LLM step. Trace every model call and agent step so a recommendation can be reconstructed and audited, with citations back to the source documents, and wire that tracing into your alerts. Model and query claims data across relational, document, and graph stores. Design privacy and security in from the start: tenant isolation, least-privilege access for agents and their tools, and a clear rule for what data may reach a model provider. Write a technical design document before any significant change, and use it to get feedback and buy-in from the team before you build. Take part in a shared on-call rotation for the services you build. Requirements: 3+ years of professional software engineering experience, including at least one LLM-powered feature you shipped and then operated in production. Python and TypeScript: typed, tested, async code in both, and real depth in one. Evals you have designed for LLM output, plus guardrails you have shipped. A clear account of how you constrain an agentic coding tool's context and verify its output, from daily use of Claude Code, Cursor, GitHub Copilot, or similar on production work. Pipelines that blend LLMs with semantic search and classical NLP: structured output, tool calling, embedding-based retrieval, and a case where a classical technique beat an LLM. Services built on message- or event-driven architectures, including long-running workflows with retries, idempotent handlers, and event-sourced state, plus an LLM or agent step you ran inside one. Data modeling and development across relational, document, and graph databases such as PostgreSQL, MongoDB, and Neo4j, including when each type fits and the partition-key, consistency, and tenant-isolation calls you made. Backend services built and operated on Azure or AWS, and exposure to a durable workflow engine such as Temporal or the Durable Task Scheduler. Technical design documents you have written to get feedback and buy-in from a team before building, and that the team then built to. Clear writing and discussion for technical and non-technical audiences, and code review you can give as well as take. Even Better if You Have: React and TypeScript experience, so you can deliver a full-stack feature end to end. Chat, streaming, and citation-heavy AI experiences especially. Experience with CI/CD pipelines and infrastructure as code such as Terraform or Bicep. Experience with agent frameworks, LangGraph and the Microsoft Agent Framework among them, and with the ways agents reach their tools: the Model Context Protocol (MCP), the Agent2Agent (A2A) protocol, command-line tools, and microservices. Experience with LLM observability and evaluation tooling such as LangSmith, Arize, or Braintrust, and with OpenTelemetry-based tracing. Experience designing A/B tests for AI features, or what-if simulations that replay historical claims through a proposed change before it ships. Exposure to the insurance, claims, or automotive repair domains. What Success Looks Like: In your first six months you ship an LLM-powered feature, its evals run in CI, and you can name the metric it moved. When a model migration or prompt change causes a regression, the evals you wrote catch it before a customer does. You take ownership from concept to production with light direction, asking the right questions early. You care that things hold up: the services you build survive retries, partial failures, and model migrations without incidents a customer can see. When something goes wrong in production, the trace tells you which step and which model call, and you can show an auditor the same thing. Privacy and security reviews of your features find nothing that was not already designed in. You enjoy the craft, and it shows: engineers pick up your patterns without being told to. You enjoy the back-and-forth that gets a feature scoped, and you can argue a position without needing to win it. You embrace our ambitious, collaborative, and empathetic values, and you like problems where the answer has to be measured rather than argued. Interview Policy & Privacy Notice: A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available HERE . About CCC's Commitment to Employees: CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most. At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC’s success. CCC offers competitive compensation and benefits to support you and your families, including: 401K Match Paid time off Annual Incentive Plan Performance Bonus Comprehensive health insurance Adoption Assistance Tuition Reimbursement Wellness Programs Stock Purchase Plan options Employee Resource Groups For more information about our benefits, please check out our careers site . Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture here

Чем предстоит заниматься: Командная реализация реальных задач в формате спринтов (от простых к более сложным задачам).

Location: London; Europe Workplace: Hybrid Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. THE ROLE As a Senior Frontend Engineer on our Website team, you'll be a co-owner of the platform behind synthesia.io http://synthesia.io: the component library, content model and rendering stack that every page on our marketing site is built from. You'll shape direction and make key technical decisions with the team, likely with a focus area of your own but context across the whole system. This is a hands-on engineering role, and your primary output is high-quality component and schema code, plus the tooling that lets others build with it. Millions of people visit synthesia.io http://synthesia.io every month, and it is one of the main ways we win new customers. That comes with real responsibility. The decisions you make are seen at scale, and we set the quality bar accordingly. The defining challenge of this role is composability: a marketing site that marketers, and increasingly AI agents, can build pages with, without breaking design, performance or SEO. WHAT YOU'LL DO - Build, scale and evolve our section library: the Astro components, Sanity schemas and design tokens that let us compose marketing pages consistently and accessibly. - Own the content model. Design schemas that resist misuse, so an editor, or an agent, can build a page that is correct by construction rather than correct by review. - Take Figma component specs all the way to production: responsive across mobile, tablet and desktop, accessible by default, matching design intent precisely. - Extend the platform for AI-assisted development, so coding agents can generate on-brand, on-spec sections from a design spec as reliably as a person can. - Own SEO integrity as a first-class engineering concern: canonicals, sitemaps, structured data, redirects, and no traffic cliffs on launch. - Raise the bar on engineering standards across the website surface: thorough code review, patterns others can follow, and tests around the parts that actually break. - Maintain and extend localisation across nine locales and a translation pipeline, so the system works for a global audience. - Shape the technical direction of the website platform over the next 6 to 12 months, and champion its adoption with the people who publish on it. WE’D LOVE TO HEAR FROM YOU IF YOU HAVE - At least five (5+) years as a software engineer, including three (3) at senior level, building front end for content-driven or marketing platforms. - Real ownership of a content model in Sanity. You've designed schemas other people had to live with, and you have opinions about references vs. embedded objects, when a variant belongs in the schema versus at runtime, and how to stop a section library sprawling. GROQ and Portable Text are familiar territory. - Deep front-end expertise: expert HTML, CSS and TypeScript, with a strong command of component API design and the developer experience of a shared library. - You can work end to end. Comfortable owning the server side as well as the front end: SSR, serverless and edge runtimes, API routes, a SQL database, secrets and CI. You should be able to take a feature from schema to component to the route that serves it without handing off, and be happy debugging something that only reproduces in production. - Solid understanding of responsive design, cross-browser compatibility and web performance, and comfortable building to WCAG 2.2 AA. Accessibility is part of your definition of done, not a separate pass. - You care that marketing sites are measured, on performance, SEO, analytics events and conversion, and you're happy being accountable to those numbers. - A strong sense of craft and attention to detail, and the judgement to balance design intent against engineering constraints. - Strong communication and collaboration skills. You explain your reasoning, review generously, and treat levelling up the people around you as part of the job. WE’D BE PARTICULARLY EXCITED IF - Prior experience working on a large SaaS marketing website, at real traffic and with real stakes attached. - Astro, or another islands or static-site framework. - Cloudflare Workers, or another edge or serverless platform. - Experience with AWS Lambda. - Tailwind CSS v4, and experience working from a token-based design system. - Experience, or strong interest, in making component libraries and content models consumable by AI agents. - A strong design sensibility: an eye for visual detail and the judgement to push back on and improve design decisions, not just build them. - Experience with localisation and internationalisation at scale for a global audience. - Analytics and tag management implementation: dataLayer events, server-side tagging, getting attribution right without hurting performance. Location Our preference is for this role to be based hybrid out of our London, UK office. We can also accommodate remote workers elsewhere in Europe subject to compliance and right to work checks.

Location: Islamabad, Pakistan Workplace: hybrid We are looking for a Senior Software Engineer to build and run backend services and internal web applications for our AI teams. You will write production-grade Go, Python and TypeScript , own your services from design to on-call. You bring hands-on experience building AI agents in production: tool calling, state, reliability and observability of LLM-based systems. You will work with data scientists, backend engineers, QA and product managers. Key Responsibilities Design, build and run backend services in Go and Python, and own them in production: delivery, monitoring, on-call. Build and evolve backend services that run LLM-based agents: tool calling, MCP integrations, structured output, conversation state and guardrails in code. Build internal web applications in React and TypeScript, from simple admin pages to complex interactive interfaces. Support and develop existing production services together with the team: reviews, on-call, fixes and new features. Design data models and APIs for configuration-heavy products, with attention to consistency, history and safe changes. Integrate services with the wider backend: sync (HTTP, gRPC, GraphQL) and async (Kafka) communication, built for reliability. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Drive technical research and design for new features. Weigh trade-offs and write them down. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 5+ years of commercial software engineering, with production work on both backend and frontend . You have written production code without coding agents. Strong Go: you know and have used its advanced features in production. Strong Python for service code: async, typing, testing, and a modern web framework such as FastAPI. Hands-on experience building and running AI agents in production Strong TypeScript and React: you have built and maintained non-trivial web applications, including complex forms, editors and data visualisation. Strong SQL: schema design, indexes, query optimisation and migrations. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, GraphQL, Kafka), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, OpenTelemetry or similar). Git workflows and code review, comfortable Linux command line, and networking basics. Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Experience using AI coding agents with full review of generated changes. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid We are looking for a Senior Software Engineer to build and run backend services and internal web applications for our AI teams. You will write production-grade Go, Python and TypeScript , own your services from design to on-call. You bring hands-on experience building AI agents in production: tool calling, state, reliability and observability of LLM-based systems. You will work with data scientists, backend engineers, QA and product managers. Key Responsibilities Design, build and run backend services in Go and Python, and own them in production: delivery, monitoring, on-call. Build and evolve backend services that run LLM-based agents: tool calling, MCP integrations, structured output, conversation state and guardrails in code. Build internal web applications in React and TypeScript, from simple admin pages to complex interactive interfaces. Support and develop existing production services together with the team: reviews, on-call, fixes and new features. Design data models and APIs for configuration-heavy products, with attention to consistency, history and safe changes. Integrate services with the wider backend: sync (HTTP, gRPC, GraphQL) and async (Kafka) communication, built for reliability. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Drive technical research and design for new features. Weigh trade-offs and write them down. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 5+ years of commercial software engineering, with production work on both backend and frontend . You have written production code without coding agents. Strong Go: you know and have used its advanced features in production. Strong Python for service code: async, typing, testing, and a modern web framework such as FastAPI. Hands-on experience building and running AI agents in production Strong TypeScript and React: you have built and maintained non-trivial web applications, including complex forms, editors and data visualisation. Strong SQL: schema design, indexes, query optimisation and migrations. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, GraphQL, Kafka), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, OpenTelemetry or similar). Git workflows and code review, comfortable Linux command line, and networking basics. Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Experience using AI coding agents with full review of generated changes. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Cairo, Egypt Workplace: hybrid We are looking for a Senior Software Engineer to build and run backend services and internal web applications for our AI teams. You will write production-grade Go, Python and TypeScript , own your services from design to on-call. You bring hands-on experience building AI agents in production: tool calling, state, reliability and observability of LLM-based systems. You will work with data scientists, backend engineers, QA and product managers. Key Responsibilities Design, build and run backend services in Go and Python, and own them in production: delivery, monitoring, on-call. Build and evolve backend services that run LLM-based agents: tool calling, MCP integrations, structured output, conversation state and guardrails in code. Build internal web applications in React and TypeScript, from simple admin pages to complex interactive interfaces. Support and develop existing production services together with the team: reviews, on-call, fixes and new features. Design data models and APIs for configuration-heavy products, with attention to consistency, history and safe changes. Integrate services with the wider backend: sync (HTTP, gRPC, GraphQL) and async (Kafka) communication, built for reliability. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Drive technical research and design for new features. Weigh trade-offs and write them down. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 5+ years of commercial software engineering, with production work on both backend and frontend . You have written production code without coding agents. Strong Go: you know and have used its advanced features in production. Strong Python for service code: async, typing, testing, and a modern web framework such as FastAPI. Hands-on experience building and running AI agents in production Strong TypeScript and React: you have built and maintained non-trivial web applications, including complex forms, editors and data visualisation. Strong SQL: schema design, indexes, query optimisation and migrations. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, GraphQL, Kafka), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, OpenTelemetry or similar). Git workflows and code review, comfortable Linux command line, and networking basics. Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Experience using AI coding agents with full review of generated changes. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Москва; Санкт-Петербург; Белград Workplace: Офис, Гибридный Ищем руководителя, который возьмёт на себя развитие инструментов управления тестированием в портале разработки. Вам предстоит не только управлять командой, но и вместе с продакт-менеджером определять вектор развития этих инструментов в условиях быстро меняющихся отраслевых трендов. В нашей компании тысячи продуктов, обеспечивающих своё качество с помощью различных инструментов, проверок и процессов. Наша задача — делать эти проверки отслеживаемыми и контролируемыми. Поэтому мы строим платформу для обеспечения и анализа качества продукта на различных этапах его жизненного цикла. Эта роль для тех, кто готов комбинировать управление, продуктовое мышление и технические вызовы, создавая инструменты, которые реально улучшают качество продуктов. Сейчас платформа включает: * систему управления тестированием (TMS): сервис организации, структурирования, анализа покрытия и результатов прохождения тестовых сценариев; * аналитические дашборды: инструменты для оценки поведения ручных и автоматизированных тестов в настоящем и прошлом; * точки интеграции в поверхностях портала разработки: добавление знаний об обычном поведении тестов в интерфейсы, чтобы пользователи получали максимум информации для решения задач. Мы постоянно расширяем горизонты применения инструментов: активно внедряем AI, пересматриваем систему скипов и мьютов тестов, визуализируем качество по функциональным областям продукта, стандартизируем прижившиеся подходы и распространяем их через платформу на всю компанию. Всё это должно работать стабильно, быстро и, главное, понятно для конечного пользователя, в условиях постоянно растущих объёмов тестов и их результатов от года к году. Обязанности Управлять командой разработки Вам предстоит нанимать, развивать и мотивировать команду разработчиков, выстраивать процессы для комфортной и продуктивной работы. Работать над продуктом В тесном партнёрстве с продакт-менеджером вы будете превращать идеи в гипотезы, а гипотезы — в конкретные технические задачи и проекты, планировать «дорожную карту» и управлять бэклогом. Отвечать за техническое развитие продуктов Вместе с техлидом нужно будет проектировать архитектуру, следить за качеством кода и техническим долгом, обеспечивать стабильность и производительность сервисов. Обеспечивать результат Вы будете выстраивать процессы поставки (delivery), управлять ожиданиями стейкхолдеров и пользователей, доводить проекты от идеи до успешного запуска и внедрения. Больше о том, как мы делаем внутреннюю инфраструктуру Яндекса, — в канале Yandex Infrastructure Требования * Управляли командой разработки в составе более пяти человек * Управляли продуктом и понимаете продуктовый подход или готовы разобраться в нём * Умеете управлять проектами: декомпозировать крупные задачи, расставлять приоритеты и контролировать сроки * Понимаете жизненный цикл разработки ПО и роль тестирования в нем, знаете, зачем нужны TMS, CI/CD и метрики качества * Занимались коммерческой разработкой на Node.js и TypeScript и глубоко понимаете архитектуру веб-приложений. Необязательно писать код каждый день, но важна способность принимать взвешенные технические решения

Coinflow is looking for an MLOps Engineer to build, deploy, monitor, and operate real-time fraud and payments models.

Coinflow is looking for a Software Engineer to develop reliable, scalable payment, dashboard, and customer-portal products.

Location: ES - Barcelona, Spain Scopely is looking for a talented Playable Ads Developer to join Forge , our Creative Technology & AI team within Flamed, in our Barcelona office on a hybrid basis. At Scopely, we care deeply about what we do and want to inspire play, every day—whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers developing, publishing, and innovating the mobile games industry, connecting millions of people around the world every day. Forge is shaping the future of creative production. We combine AI, engineering, automation, and creative technology to build the platforms, products, and workflows that empower every creative team to move faster, experiment more, and scale creativity across Scopely. What You’ll Do As a Playable Ads Developer , you will work at the intersection of game development, creative technology, design and art. You will build interactive, playable ads, prototypes and reusable creative systems that help our teams test ideas, showcase game mechanics and deliver engaging experiences for User Acquisition campaigns. Build interactive playable ads, prototypes and lightweight game experiences for mobile User Acquisition campaigns Translate creative briefs, game mechanics and visual concepts into engaging, responsive and production-ready playable experiences Develop playable content using Unity, C#, HTML5, JavaScript/TypeScript and relevant game frameworks Work directly with 2D and 3D assets, including characters, environments, UI, animation, VFX, lighting, materials and camera setups Adapt and optimize assets from existing game projects for use in lightweight playable experiences Make thoughtful decisions around composition, colour, motion, pacing, interaction design and visual clarity Create intuitive onboarding flows, gameplay interactions, end cards and calls to action that communicate the core mechanic quickly Iterate rapidly on different creative concepts, gameplay variations, visual treatments and performance-driven improvements Package and deliver playables for platforms and ad networks such as AppLovin, Unity Ads, Google and other relevant environments Optimize experiences for strict technical constraints, including file size, loading time, memory usage, frame rate, draw calls, texture compression and responsive layouts Test and debug playables across different devices, screen sizes, orientations and input methods Collaborate closely with Creative Strategy, User Acquisition, Production, Engineering, artists and designers Help develop reusable templates, components, workflows and tools that increase the speed and consistency of playable production Contribute to documentation, technical standards and best practices for playable ads and interactive creative Explore the use of AI and automation to accelerate prototyping, asset preparation, iteration and playable production What We’re Looking For 3+ years of experience building interactive experiences, game prototypes, playable ads, mobile games or similar creative technology products Strong hands-on experience with Unity and C#, or an equivalent game engine and programming environment A strong artistic eye and practical understanding of visual composition, animation, color, timing, UI and interaction design Experience working directly with 2D and/or 3D game assets and integrating them into interactive experiences Understanding of mobile performance constraints, including build size, load time, memory, FPS, texture compression and asset optimization Experience working with tools or frameworks such as Cocos, Phaser, PixiJS, PlayCanvas, Godot or other relevant technologies is valuable Comfortable taking ownership from an initial brief through implementation, optimization, QA and final delivery Strong communication skills and the ability to collaborate effectively with technical and non-technical teams Pragmatic, curious and comfortable working in a fast-moving environment where ideas need to be tested and improved quickly A portfolio of playable ads, interactive prototypes, games or other relevant creative technology work Nice to Have Experience with HTML5, JavaScript or TypeScript, and an understanding of how interactive experiences run in constrained mobile environments Experience working with AppLovin, Unity Ads, Google Ads, Meta or other playable ad networks Knowledge of User Acquisition metrics such as CTR, IPM, CPI, retention and conversion Experience creating or optimizing 3D WebGL experiences Experience with Blender, Maya, Photoshop, Illustrator, After Effects, Spine or similar creative tools Knowledge of animation systems, shaders, particles, lighting, materials and post-processing Experience creating responsive UI and interaction systems for different mobile aspect ratios Experience building reusable templates, components, editor tools or export pipelines Familiarity with Node.js, build automation, Git and basic testing workflows Experience using AI tools to support code generation, prototyping, asset iteration or creative production About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: Novi Sad, South Bačka, Serbia, EMEA 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 We’re looking for a Senior Software Engineer to join Cloud Signals , the team behind the systems that measure, bill, and talk to our customers across the dbt platform and, more and more, the combined Fivetran + dbt product. Cloud Signals owns: Billing and usage metering: turning product activity into accurate, auditable usage and billing data, including the integration of Fivetran and dbt billing into one consolidated system. Vortex, our telemetry and event pipeline: high-volume event ingestion that feeds the warehouse, product analytics, and downstream systems. The Notification System: the shared service that sends transactional and product notifications (email, in-app, Slack) for teams across the platform. Usage and admin reporting: giving customers clear visibility into consumption as we move toward consumption-based pricing. As a Senior engineer you’ll own major features and components of these systems from design to production. You’ll be a go-to technical voice on the team and help shape how we build. Technologies You’ll Use Python and TypeScript for backend services and APIs (Rust, Go, or Java experience also welcome) Relational databases (PostgreSQL) and cloud data warehouses (Snowflake) Event streaming and messaging systems (Kafka or similar) AWS (plus exposure to GCP or Azure), Docker, and Kubernetes Terraform for infrastructure as code Datadog for observability, alerting, and on-call Third-party billing and payment platforms, plus internal and public REST APIs AI coding assistants and agents (e.g., Claude Code) as part of everyday development What You’ll Do Design, build, and run features across billing, usage metering, telemetry, and notifications, writing high-quality, well-tested code that holds up in production. Own technical projects from start to finish: break down requirements, write design docs, estimate and plan the work, and see it through rollout. Help deliver the Fivetran + dbt billing integration, with a focus on correct usage data, reliable pipelines, and smooth migrations. Improve Vortex and the Notification System by onboarding new event types and use cases, making them more reliable, and lowering cost. Work closely with Product, Finance, Data, and partner engineering teams, filling gaps in specs and prototyping to test ideas before you commit. Take part in on-call, investigate and resolve production issues, contribute to postmortems, and improve alerting and runbooks. Mentor early-career engineers, give thoughtful, constructive code reviews, and push for good engineering practices on the team. Skills We’re Looking For 5+ years building and operating production software, with a passion for solving complex engineering problems Strong experience designing and building backend services and APIs, with attention to correctness, reliability, and data integrity Experience with distributed systems and event-driven architectures; exposure to streaming or messaging systems (e.g., Kafka) is a plus Solid knowledge of relational databases and data modeling; experience with a cloud data warehouse such as Snowflake is a plus Ability to independently lead the design of a feature or service to meet project requirements, and to spot and fix design flaws in existing systems Hands-on experience with at least one major cloud provider (AWS preferred) and containerization (Docker, Kubernetes) Familiarity with CI/CD, infrastructure as code (Terraform), and observability tools (Datadog, Grafana, or similar) Experience with code reviews, testing, and troubleshooting, and with being on-call Clear written and verbal communication, including writing design docs and working with cross-functional partners Fluency with AI code assistants and coding agents for building features, fixing bugs, testing, and investigation, and with conversational AI (Claude, ChatGPT, internal chatbots) for researching, writing, and reviewing SDLC artifacts like TDDs, PRDs, postmortems, test plans, and proposals Bonus Skills Experience with billing, metering, or usage-based pricing systems (e.g., Metronome, Stripe) Experience building telemetry or analytics pipelines (e.g., Snowplow, Iceberg) Experience with notification or messaging platforms (email, in-app, webhooks) Experience with data processing (ETL/ELT), dbt, or other modern data stack tools Experience working on SaaS platforms at scale #LI-IM1 #LI-HYBRID 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: Warsaw, Poland On behalf of FinTech Client #3 , SD Solutions is looking for a talented Senior Full Stack Developer. As a Frontend Engineer, you will take ownership of a strategic, gamified platform that serves as the primary engagement and social hub for tens of thousands of NDA, FinTech associates. You will develop new features for our mobile app, shaping a unique user experience that blends high-stakes business logic with interactive gaming, social networking, and professional training. In this role, you will build the next generation of communication and reward tools that connect our massive user base at the point of sale, directly impacting NDA, FinTech growth, and market exposure. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. Responsibilities: Develop and maintain the customer-facing native application. Take ownership of the end-to-end development of new Sunbeast features, from concept to deployment. Collaborate closely with backend engineers to integrate APIs and deliver a seamless, high-performance user experience. Write clean, efficient, and maintainable code, adhering to best practices and team standards. Contribute to a collaborative environment, sharing your expertise and mentoring other team members. Requirements: 5+ years of frontend/mobile development experience. Strong production experience with React 2-3 years of backend development (Java or Kotlin) is an advantage. Strong production experience with React Native (a big advantage —including app lifecycle and deployment to stores). Deep knowledge of JavaScript, TypeScript, and CSS. Experience publishing/maintaining apps in Google Play and the App Store. End-to-end ownership mindset—proactive, resourceful, self-motivated Resourceful, self-motivated, and capable of working independently in a fast-paced environment. B.Sc. in Computer Science or equivalent. Fluent in English (daily collaboration with the Israel team). Preferred Experience: Experience with React. Experience with end-to-end testing frameworks like Playwright. Knowledge of WebSockets. Prior experience in a fintech company, especially with payment processing or financial services. Experience with AI development tools like Cursor and Claude Code About the company: A fintech company that builds point-of-sale financing and consumer credit products for everyday service businesses. Their solution is deployed at thousands of service locations — including auto service centers, dental offices, optical clinics, and veterinary practices — and is managed through a no-fee mobile credit card. By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.

Location: Novi Sad, South Bačka, Serbia, EMEA 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 We’re looking for a Senior Software Engineer to join Cloud Signals , the team behind the systems that measure, bill, and talk to our customers across the dbt platform and, more and more, the combined Fivetran + dbt product. Cloud Signals owns: Billing and usage metering: turning product activity into accurate, auditable usage and billing data, including the integration of Fivetran and dbt billing into one consolidated system. Vortex, our telemetry and event pipeline: high-volume event ingestion that feeds the warehouse, product analytics, and downstream systems. The Notification System: the shared service that sends transactional and product notifications (email, in-app, Slack) for teams across the platform. Usage and admin reporting: giving customers clear visibility into consumption as we move toward consumption-based pricing. As a Senior engineer you’ll own major features and components of these systems from design to production. You’ll be a go-to technical voice on the team and help shape how we build. Technologies You’ll Use Python and TypeScript for backend services and APIs (Rust, Go, or Java experience also welcome) Relational databases (PostgreSQL) and cloud data warehouses (Snowflake) Event streaming and messaging systems (Kafka or similar) AWS (plus exposure to GCP or Azure), Docker, and Kubernetes Terraform for infrastructure as code Datadog for observability, alerting, and on-call Third-party billing and payment platforms, plus internal and public REST APIs AI coding assistants and agents (e.g., Claude Code) as part of everyday development What You’ll Do Design, build, and run features across billing, usage metering, telemetry, and notifications, writing high-quality, well-tested code that holds up in production. Own technical projects from start to finish: break down requirements, write design docs, estimate and plan the work, and see it through rollout. Help deliver the Fivetran + dbt billing integration, with a focus on correct usage data, reliable pipelines, and smooth migrations. Improve Vortex and the Notification System by onboarding new event types and use cases, making them more reliable, and lowering cost. Work closely with Product, Finance, Data, and partner engineering teams, filling gaps in specs and prototyping to test ideas before you commit. Take part in on-call, investigate and resolve production issues, contribute to postmortems, and improve alerting and runbooks. Mentor early-career engineers, give thoughtful, constructive code reviews, and push for good engineering practices on the team. Skills We’re Looking For 5+ years building and operating production software, with a passion for solving complex engineering problems Strong experience designing and building backend services and APIs, with attention to correctness, reliability, and data integrity Experience with distributed systems and event-driven architectures; exposure to streaming or messaging systems (e.g., Kafka) is a plus Solid knowledge of relational databases and data modeling; experience with a cloud data warehouse such as Snowflake is a plus Ability to independently lead the design of a feature or service to meet project requirements, and to spot and fix design flaws in existing systems Hands-on experience with at least one major cloud provider (AWS preferred) and containerization (Docker, Kubernetes) Familiarity with CI/CD, infrastructure as code (Terraform), and observability tools (Datadog, Grafana, or similar) Experience with code reviews, testing, and troubleshooting, and with being on-call Clear written and verbal communication, including writing design docs and working with cross-functional partners Fluency with AI code assistants and coding agents for building features, fixing bugs, testing, and investigation, and with conversational AI (Claude, ChatGPT, internal chatbots) for researching, writing, and reviewing SDLC artifacts like TDDs, PRDs, postmortems, test plans, and proposals Bonus Skills Experience with billing, metering, or usage-based pricing systems (e.g., Metronome, Stripe) Experience building telemetry or analytics pipelines (e.g., Snowplow, Iceberg) Experience with notification or messaging platforms (email, in-app, webhooks) Experience with data processing (ETL/ELT), dbt, or other modern data stack tools Experience working on SaaS platforms at scale #LI-IM1 #LI-HYBRID 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.

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