Вакансии

About OkWhen OkWhen builds technology that powers live, virtual, and hybrid events. Their platform supports conference management, registration, payments, mobile apps, content libraries, webinars, LMS functionality, CEU tracking, sponsor management, and operational workflows. The Outcome We’re Hiring For You will own meaningful parts of the application and consistently deliver reliable software without requiring constant supervision. You will improve system performance, reduce technical debt, and turn operational problems into simple, maintainable products. This role requires understanding the existing system, making sound technical decisions, and following work through from discovery to production. Responsibilities: — Design, build, test, deploy, and maintain production software — Develop backend services and APIs using C# and ASP.NET/.NET — Build and maintain web applications using Angular — Design, optimize, and troubleshoot SQL Server databases and queries — Maintain and extend mobile applications using .NET MAUI — Investigate and resolve production issues — Improve application reliability, performance, security, and observability — Write automated tests and maintain technical documentation — Participate in code reviews and establish engineering standards — Collaborate with product, operations, and event-production teams — Break ambiguous business problems into clear technical plans — Use AI-assisted development tools responsibly to improve speed without sacrificing quality Requirements: — 7+ years of professional software development experience — Strong commercial experience with C#, .NET, and ASP.NET Core — Strong experience with Angular and TypeScript — Advanced working knowledge of SQL Server, database design, and query optimization — Production experience with .NET MAUI or Xamarin — Experience designing and consuming REST APIs — Experience with Git, CI/CD, debugging, and automated testing — Demonstrated ability to work independently in an existing codebase — Strong written and verbal communication — Comfortable owning outcomes, not just completing assigned tasks Preferred Qualifications: — Experience with SaaS platforms — Experience with event management, registration, payments, LMS, or communications systems — Cloud experience with Azure or AWS — Experience with distributed systems, queues, integrations, or real-time applications — Experience modernizing legacy applications — Experience mentoring other developers Conditions: — Health Care Plan (Medical, Dental & Vision) — Retirement Plan (401k, IRA) — Paid Time Off (Vacation, Sick & Public Holidays) — Family Leave (Maternity, Paternity) — Training & Development — Work From Home

Задачи: — Обеспечение надежности, масштабируемости и производительности распределенной инфраструктуры ZK-сопроцессоров. — Управление парком блокчейн-нод (RPC, Validators) и специализированных Prover-нод в мультичейн среде. — Автоматизация процессов развертывания и управления инфраструктурой (IaC) с использованием Terraform / Pulumi. — Глубокий мониторинг и алертинг (Prometheus, Grafana, VictoriaMetrics) с фокусом на специфические метрики блокчейна и прувинга. — Оптимизация производительности систем (Performance Tuning) и работа над минимизацией сетевых задержек (low-latency). — Управление инцидентами, проведение Post-mortem анализа и разработка мер по предотвращению повторных сбоев. — Внедрение и развитие практик GitOps и CI/CD пайплайнов для инфраструктурных и прикладных сервисов. Требования: — Опыт работы в роли SRE или DevOps Engineer от 4-5 лет. — Экспертное владение Kubernetes (управление кластерами, написание Helm чартов / Operator SDK). — Глубокие знания Linux internals, сетевых протоколов и безопасности. — Опыт работы с облачными провайдерами (AWS — основной, GCP/Azure). — Уверенное владение Python или Go для написания инструментов автоматизации. — Практический опыт работы с инструментами IaC (Terraform). — Английский язык: Upper-Intermediate (свободная коммуникация в международной команде). Будет плюсом: — Опыт эксплуатации блокчейн-инфраструктуры (Ethereum, L2s, Solana). — Понимание специфики работы ZK-Rollups или систем с интенсивными вычислениями (GPU/FPGA acceleration). — Опыт работы с инструментами распределенной трассировки (Jaeger / Tempo).

Задачи: – Разработка и совершенствование банковских API для мобильных приложений и внутренних/внешних сервисов. – Создавайте масштабируемые бэкэнд-решения, используя Kotlin и современные технологии JVM. – Внесите свой вклад в архитектуру, масштабируемость и надежность основных банковских и партнерских платформ. Требования: – Более 5 лет опыта работы в экосистеме JVM, глубокие знания Kotlin или Java. – Глубокое понимание параллельного и асинхронного программирования. – Опыт проектирования систем с использованием чистых архитектур (DDD, событийно-ориентированные подходы). – Глубокие знания распределенных систем и компромиссов, которые они предоставляют. – Практический опыт работы с Docker и Kubernetes, предпочтительно в среде AWS. – Уверенное владение английским языком (средний и выше уровня). Будет плюсом: – Интерес или опыт в области проектирования платформ. – Опыт в оптимизации производительности баз данных. – Опыт работы в области функционального программирования. – Опыт разработки внутренних библиотек, SDK или инструментов для разработчиков.

About the Team The Security Operations team protects CircleCI’s infrastructure, product, and customer data against evolving threats, working closely with engineering to maintain security and resilience. About the Role As a Security Operations Engineer, you will protect CircleCI’s infrastructure, product, and customer data from AI-driven attacks and defenses. This intermediate role involves ownership of security challenges, collaboration with Engineering, contributing to the security roadmap, and leveraging AI tools to detect, respond to, and automate security threats. What You’ll Do: Threat Detection & Incident Response — Monitor, investigate, and respond to security threats across cloud and application environments using security and AI-assisted tools. — Participate in risk assessments, incident response, post-incident reviews, and on-call support, improving controls and processes. Security Engineering & Architecture — Build and maintain security tooling, controls, and automation across cloud, application, and CI/CD environments following best practices. — Identify vulnerabilities and configuration risks, contribute to runbooks and compliance, and understand CircleCI’s security architecture. AI & Security — Incorporate AI-powered security tools into workflows and evaluate emerging technologies for detection, response, and automation. — Stay current on AI-specific security threats and contribute to responsible AI use in security operations. Cross-Team Partnership & Ownership — Partner with Engineering teams to understand security needs, provide guidance, and translate risks into actionable recommendations. — Contribute to security roadmap planning, technology evaluations, and documentation while building relationships across teams. What You’ll Bring: — 3+ years of security engineering or operations experience or equivalent expertise. — Hands-on experience with cloud, application, and CI/CD security in AWS, GCP, or Azure. — Experience with incident response and security tools including EDR, CNAPP, SASE, vulnerability scanners, and log analysis. — Ability to build and maintain security automation and tooling using Go, Python, or Terraform. — Strong security judgment and problem-solving skills. — Hands-on experience with AI/ML-powered security tools in production and understanding of AI’s role in security workflows. Bonus Skills (Nice to Have): — Familiarity with AI-specific threat categories like prompt injection and model supply chain risks. — Experience securing developer platforms, SaaS, or CI/CD infrastructure. — Relevant certifications such as CEH, AWS Security Specialty, Security+. — Contributions to process improvement, runbook development, or knowledge sharing. Accommodation CircleCI provides reasonable accommodation for individuals with disabilities during application and employment. About CircleCI CircleCI is the world’s largest CI/CD platform, processing over 3 million jobs daily, helping companies leverage AI in software delivery. Founded in 2011, headquartered in San Francisco with a global remote workforce, and venture-backed by multiple investors. Equal Opportunity CircleCI is an Equal Opportunity and Affirmative Action employer, not discriminating based on legally protected characteristics and considering applicants with criminal histories consistent with laws.

Задачи: — Проектировать, внедрять и управлять решениями и контролями безопасности для AWS и Kubernetes, включая методы изоляции для платформы RCE-as-a-Service. — Создавать, развёртывать и поддерживать инфраструктуру как код с использованием Terraform, обеспечивая высокие стандарты безопасности. — Проводить оценки безопасности, моделирование угроз и аудиты AWS и Kubernetes. — Сотрудничать с командами разработки и эксплуатации для внедрения лучших практик безопасности в CI/CD. — Мониторить и реагировать на инциденты безопасности в облаке, выявлять причины и рекомендовать меры по устранению. — Обеспечивать соответствие требованиям комплаенса (SOC 2, ISO 27001, GDPR, HIPAA, PCI DSS). — Наставлять инженеров и продвигать культуру облачной безопасности в организации. Требования: — Опыт работы в облачной безопасности не менее 5 лет, глубокие знания AWS. — Профессиональные навыки в области безопасности Kubernetes: защита кластеров, RBAC, сетевые политики, управление уязвимостями контейнеров. — Экспертное владение Terraform. — Знание сервисов безопасности AWS (IAM, GuardDuty, Security Hub, CloudTrail, WAF). — Знакомство с CNAPP решениями (Wiz) и SIEM (Panther). — Понимание безопасного жизненного цикла разработки ПО, безопасности CI/CD и DevSecOps. — Желательны сертификаты AWS Certified Security – Specialty, Certified Kubernetes Security Specialist (CKS), Terraform Associate. — Приветствуются сертификаты SANS или OffSec. — Отличные навыки решения проблем, коммуникации и лидерства. Условия: — Удалённая работа из США (SF, NYC или Remote). — Конкурентная зарплата и пакет вознаграждений, включая акции, медицинские льготы и гибкий отпуск. Дополнительно: — Работа в команде инженеров, тесное сотрудничество с командой безопасности. — Технологический стек включает Typescript, React, Apollo GraphQL, Redux, Express, Postgres, Redis, Kubernetes, Terraform, Helm, AWS.

Location: Dubai, United Arab Emirates We are looking for a skilled System Administrator to manage, maintain, and troubleshoot the organization’s IT infrastructure. The role involves administering servers, networks, user accounts, security systems, and IT services while ensuring reliable and secure day-to-day operations. Key Responsibilities Install, configure, maintain, and monitor Windows/Linux servers and IT systems. Manage user accounts, permissions, Active Directory, Microsoft 365, and access controls. Monitor network and system performance and troubleshoot technical issues. Perform system backups, recovery procedures, and disaster-recovery activities. Manage hardware, software, printers, and other IT infrastructure. Apply security patches, updates, antivirus protection, and system hardening. Maintain IT documentation, configurations, and asset records. Respond to help-desk escalations and provide technical support to users. Requirements Bachelor’s degree or diploma in Information Technology, Computer Science, or a related field. 2–5 years of experience in system administration or IT infrastructure. Experience with Windows Server and/or Linux. Strong knowledge of Active Directory, DNS, DHCP, TCP/IP, and networking. Experience with Microsoft 365 and cloud platforms such as Azure or AWS is an advantage. Knowledge of virtualization technologies such as VMware or Hyper-V. Familiarity with backup, monitoring, cybersecurity, and endpoint-management solutions. Strong troubleshooting and problem-solving skills. Relevant certifications such as Microsoft, CompTIA, Cisco, or VMware are an advantage. Benefits Competitive salary package Supportive and collaborative work environment Career growth and promotion opportunities

Location: Busan, South Korea Workplace: OnSite The Company: Outschool’s mission is to inspire kids to love learning. In our fast-changing world, the traditional educational system struggles to meet the diverse and evolving needs of young learners. Outschool reimagines this system, offering flexible and engaging learning experiences as a supplement and alternative to traditional education. By connecting learners with a global community of teachers and peers through our online platform, we make learning personal, dynamic, and deeply human. We've made significant strides since launching our marketplace of live online classes in 2017. Finding initial success with secular homeschoolers, we then expanded to enrichment learning to meet the needs of a wider audience, growing our business 16x since 2019. Post-pandemic, we have evolved our platform to power academic learning, incorporated AI, and have begun to grow our international community. We're proud to have served over 1.5M passionate learners with more than $100M in annual bookings. Driving disruptive, positive change in education is rewarding and hard. Outschool team members are encouraged to challenge themselves, take risks, and grow in their careers. We look for talented people whose sense of urgency, innate curiosity, and determination to drive impact will help Outschool achieve outsized results in pursuit of our mission. We invite you to be part of an ambitious team dedicated to ensuring every learner can navigate the future with curiosity, resilience, and a love of learning. The Role We're looking for a Senior Software Engineer, Fullstack to join our Product Engineering team in South Korea. The team’s mission is to build high-quality product experiences that help learners, families, and educators connect and succeed on Outschool. You'll own challenging problems across the stack, from designing intuitive user experiences in React, to building scalable backend systems and APIs, to evolving our data models and architecture, to improving product quality and performance, to using AI-native tools and approaches to help us build and iterate faster. We are an effective team of engineers distributed across the US, Canada, and South Korea. Our philosophy is to start small and then intentionally iterate to test our assumptions and learn quickly. We're iteratively building up a complex product for a highly engaged audience. This role requires working from our Haeundae, Busan office Tuesday–Friday from 7:00 AM to 3:00 PM. Mondays are remote. Our Stack: - Product Engineering - TypeScript · React · Node.js · GraphQL/Apollo · PostgreSQL · OpenSearch - Our engineers work across the full stack, from building polished user experiences to designing APIs, data models, and backend services. - Infrastructure & Developer Platform - AWS (EKS, RDS, S3, Lambda) · Terraform · GitLab · Prometheus/Grafana · OpenTelemetry - Product engineers partner closely with our Infrastructure team and are empowered to understand, deploy, and operate the systems they build. - AI-Native Development - We use AI throughout the software development lifecycle, including planning, implementation, testing, debugging, and code review. - We're also actively incorporating AI into the Outschool product and exploring new ways AI can improve learning experiences for families, learners, and educators. Core Responsibilities: - Product development: Build high-quality product experiences for learners, families, educators, and partners across the full stack, from React and TypeScript in the frontend to GraphQL, Node.js, PostgreSQL, and backend services. - Technical ownership: Own projects from problem definition through design, implementation, launch, and iteration. Make pragmatic technical decisions that balance speed, quality, maintainability, and user impact. - Cross-functional collaboration: Work closely with Product Managers, Designers, Researchers, Analysts, and other Engineers to shape requirements, explore solutions, and deliver the right product—not just implement predefined specifications. - Architecture & engineering quality: Design scalable, maintainable systems and APIs. Improve application architecture, testing, performance, observability, and engineering practices as the product and team grow. - AI-native development: Use AI tools throughout the development workflow to move faster and improve quality, and help identify opportunities to incorporate AI into Outschool's product and learning experiences. - Production ownership: Deploy and operate the software you build. Participate in on-call, investigate production issues, and use monitoring and user feedback to continuously improve reliability and product quality. - Technical leadership: Raise the engineering bar through thoughtful code reviews, technical discussions, documentation, and mentoring. Help other engineers make strong technical decisions and grow their skills. - Continuous improvement: Identify friction in our product, codebase, and development processes and proactively improve it. Look beyond the immediate task to make the team and platform more effective over time. Desired Experience & Skills: - 7+ years of professional software engineering experience - Strong experience building modern web applications with React, TypeScript, and Node.js - Experience designing and building APIs and backend services, ideally using GraphQL, REST, or similar technologies - Experience working with relational databases such as PostgreSQL, including data modeling and query design - Experience owning complex technical projects from design through implementation, launch, and ongoing operation - Understanding of software architecture, testing, performance, reliability, and maintainability in production systems - Experience collaborating closely with Product Managers, Designers, and other engineers to shape solutions, not just implement requirements - AI-forward approach: you actively use AI tools in your workflow, can prompt effectively, validate output critically, and know when to override or take a different approach - Ability to provide technical leadership through code reviews, design discussions, documentation, and mentoring other engineers - Intermediate or higher English reading, writing, listening, and speaking skills; our interview process and daily engineering work are conducted in English Other Considerations: - Experience in EdTech or building products for learners, educators, or families - Familiarity with search and discovery systems - Familiarity with payment APIs (e.g. Stripe) - Experience at a fast-paced startup or high-growth company Benefits in South Korea: - Coworking office located directly at exit 11, Jangsan Station in beautiful Haeundae, Busan. - Necessary equipment (MacBook, monitor, etc.) and software for work provided - Finish work early in the day - working hours from 7AM - 3PM. - Flexible vacation, use whenever you like. Korean national holidays plus 15 extra days per year. - Invitation to join the annual company retreat once per year (flight to United States, hotel, meals paid for by company).   Benefits & Culture: At Outschool, we believe that taking care of one another enables us to do our best work. To us that means: - Shared Financial Success: Competitive salaries, stock options, and retirement plans. - Health: Comprehensive medical, dental, vision, disability, and life insurance. - Wellness: Annual wellness stipend, access to coaching & therapy, and pet wellness plans. - PTO & Family Benefits: Generous PTO and family leave policies. - Hybrid & Remote-Friendly: Outschool has a distributed team across the U.S. and Canada and an office in San Francisco. Bay Area-based employees work in the office part of the week and receive commute-related benefits. Team members outside the Bay Area remain fully remote, with support for expensable home office setup and internet to stay connected no matter where you are. - Lifelong Learners: Annual budgets for professional development and DEI learning; budgets for children to take Outschool classes. - Community Impact: Outschool matches employee donations to eligible charities and supports Outschool.org http://Outschool.org’s nonprofit programs. Outschool is an equal opportunity employer. We view diversity as a moral imperative and competitive advantage. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We plan and structure our interviews to directly assess skills and experience. If you require a reasonable accommodation to participate in the job application or interview process, please contact recruiting@outschool.com.   Benefits packages are included for full-time employees only. Please note benefits and perks may vary for employees based outside of the US and Canada.   Full-time employees must be a citizen or legal residents of the U.S. or Canada and reside in U.S. or Canada, unless specifically indicated otherwise.   Once you submit your application, Outschool will process your personal data to evaluate your candidacy for employment. Unless specifically indicated otherwise, we hire employees only in the U.S. and Canada. Applicants else where should be aware that we may discard your application upon submission or we may ask if you would like us to retain it later should there be consideration (this is not typical at all). If you are selected for interviewing, your data will be shared with interviewers and personnel involved in that process. If not hired, your application will be retained for one year in case there is another suitable role. You may opt out of this at any time. Please see our Employee/Applicant Privacy Notice https://outschool.com/pages/privacy-Emp for more detailed information. If applicable, as you progress through the process, we will be clear about what information is being asked for and what happens with that information.

Location: Chicago, New York City DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. As a Data Analyst, Exploration you will play an integral role in all operational aspects of onboarding, managing and maintaining various datasets used by traders and quantitative researchers. You will work closely with a variety of stakeholders, including data strategists and data engineers, as well as teams across technology, operations, research, and risk management. You should be comfortable investigating complex data issues in a fast-paced environment. What you will do in this role: Analyze new datasets to profile their content, identify collection and storage requirements for data engineering teams and proactively surface insights about the datasets for data strategists and front-office stakeholders Collect metrics and analyze datasets across different dimensions of data quality including completeness, validity, accuracy, timeliness, and consistency Curate data catalog entries to ensure our research data assets are accurately represented and easily discoverable Engage with global front office research teams to support datasets throughout their lifecycle, addressing content inquiries and managing communications with external data vendors Monitor and resolve production data issues while engaging key stakeholders across multiple teams and facilitating global support Assist the wider team by identifying opportunities to improve existing datasets and data management processes What you will need in this role: 1-2 years of relevant experience Strong foundational knowledge of financial instruments and market data symbology, with an interest in developing further expertise in these areas Proficiency with SQL and Python for exploratory data analysis (PySpark, pandas, numpy, Jupyter Notebooks) Ability to document and clearly explain complex data analysis findings Exceptional attention to detail and effective communication skills Ability to think both independently and collaboratively Additional skills or experience which enhance consideration for this role: Experience with cloud services such as AWS Athena and Amazon S3 Familiarity with Linux and basic Bash scripting skills Experience with version control tools such as Git Good understanding of data management and data quality principles, with experience developing data quality checks or reports Prior experience using the Bloomberg Terminal Experience with Apache Airflow or similar tools The annual base salary range for this position is $100,000 to $120,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-TL1]

Location: New York Office Workplace: Hybrid Taktile is building the infrastructure that enables financial institutions to become truly AI-native. As our customer base grows, we're looking for a Director of Forward Deployed Engineering to lead our NORAM FDE organization and scale how we deliver complex AI and decisioning solutions into production. This is a hands-on leadership role for someone who has led teams of Forward Deployed, Implementation, or Delivery Engineers through complex enterprise deployments. You’ll lead a team of 15-20 FDEs while also acting as a senior technical leader on our most challenging customer engagements. You’ll help define the operating model, tooling, and standards that allow an FDE-led delivery organization to move quickly while consistently delivering production-grade solutions and measurable customer value. What You'll Do as Director, Forward Deployed Engineering - As a coach: - Lead a team of 15-20 FDEs in our NORAM region to ensure signed contracts are delivered in production with solid, measurable business value. - Own the Quarterly Go-live ARR metric for NORAM region. - Own team operations e.g. monitor signed contracts backlog, manage implementation pipeline, assign project staffing, monitor team capacity, review project milestones, evaluate and sign off project outcomes, etc. - Scale our FDE-led delivery motion by working closely with Engineering and Product teams to build and maintain the FDE tooling library and ensure flexibility, reusability, and maintainability in the FDE operating system layer. - Advocate for your team's priorities with Product and Engineering leaders, securing the resources to unblock and accelerate key implementations. - Hire and develop FDEs to keep pace with the business. - As a player: - Act as principal FDE and solution architect on our most complex deployments, owning enterprise, production-grade design. - Bring technical expertise and authority to lead problem solving sessions with customers' technical teams and Taktile internal engineering teams. - Provide sharp signal on product-market fit, product gaps, and enhancements back to Product and Engineering - Remain genuinely hands-on - platform configuration, AI-agent training and evals- and step into delivery work when a project needs it. About You - You, first and foremost, truly believe in the FDE-led AI delivery motion. You want to be part of building and running an industry-best FDE team that implement enterprise production-grade AI solutions highly efficiently and at-scale. - You have 10+ years of experience as an Implementation Engineer, Forward Deployed Engineer, Solution Engineer or an equivalent position within a B2B SaaS company. - You've led large, multi-quarter enterprise implementations- seven-figure ARR, staffed by cross-functional teams. - You have strong technical background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science. - You've managed a team (5+ reports) and can grow one. - You're still sharp in production Python and SQL, and fluent with REST APIs, batch data pipelines, and data-warehouse integrations. - You're bilingual in tech and business: you go deep with engineers and talk value and trade-offs with executives. - You're collaborative, curious, and low-ego- you work well across product, engineering, and GTM teams, and you bring a genuine desire to advocate for customers' successes while maintaining Taktile solution and system principles. - You can work from our NYC office at least three days per week. Ideal Qualifications (but not required) - You have experience in building AI applications within financial services - You have experience in applying and optimizing statistical and machine learning models to solve business problems. - You have first hand experience in at least one of our core use cases: business onboarding, business loan underwriting, insurance claim processing, and financial crime / fraud / AML investigation. - You have experience with at least one of the major cloud platforms (AWS, Azure, GCP). What We Offer - Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here. - Make an impact and meaningfully shape an early-stage company. - Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo. - Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. - Receive a top-of-market equity and cash compensation package. - Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. - Use the equipment of your choice including meaningful home office set-up. Our Stance - We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply. - We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears. About Us Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com http://taktile.com. About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process. Your Privacy. Taktile ("we" or "us") is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references. How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities. Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)). Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates' data becomes part of their employment records. Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. California residents have additional rights under the CCPA, including the right to know, delete, and correct personal information. Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review. International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms. By submitting your application, you acknowledge that you have read and understood Taktile's Applicant Privacy Policy https://taktile.com/legal/applicant-privacy-policy. To exercise your rights or ask questions, contact privacy@taktile.com.

Location: Los Angeles, USA Riot’s Enterprise Technology organization ensures Rioters have what they need to unlock their full potential, from efficient business platforms to next-generation AI capabilities. As a Staff Data and AI Engineer on the Enterprise Data & AI team, you will build the governed data foundations that power enterprise analytics, automation, and applied AI. Your primary focus will be data architecture and data engineering, where you will be responsible for designing and operating production data pipelines in Databricks, integrating & curating data through a medallion architecture, and defining semantic and domain models in Unity Catalog with subject-matter experts. You will also build agents and retrieval-augmented applications directly on this governed data using Databricks capabilities such as Unity Catalog functions, Mosaic AI, and model serving. You will own your systems from architecture through production operations, applying strong engineering, data quality, security, evaluation, and observability practices throughout The ideal candidate is a hands-on data and software engineer who can turn ambiguous enterprise needs into reliable data products and focused AI-enabled solutions. The role will report to the Senior Manager, Enterprise Data and AI. Responsibilities: Data Pipelines and Semantic Layer (Primary) Build and operate pipelines that ingest source-system data into Databricks using a medallion architecture across bronze, silver, and gold layers, with lineage, provenance, access controls, and logging. Partner with subject-matter experts to define and evolve domain, ontology, and semantic models in Unity Catalog, then curate reliable data products into those models. Own data quality for the pipelines and products you build, implementing tests, monitoring, and alerting so issues surface before they reach downstream consumers. Integrate enterprise systems through APIs, events, and middleware while applying appropriate authentication, retries, reconciliation, and auditability. Agents on the Databricks Data Layer (Secondary) Build production agents and retrieval-augmented applications grounded in governed Databricks data, using Unity Catalog functions as tools and Mosaic AI or model-serving capabilities. Add authorization, approvals, and auditability for consequential actions performed through agents or AI-enabled orchestrations. Create evaluation sets and observability for the agents you ship, including groundedness, latency, cost, and production feedback, and use the results to improve them. Engineering Fundamentals Apply solid engineering practices, including automated testing, code review, CI/CD, documentation, on-call support, and concise design notes. Own architecture decisions for your systems and communicate material tradeoffs clearly to technical and business partners. Required Qualifications: Bachelor’s degree in a related field, or equivalent practical experience. 8+ years of experience in data engineering, software or application engineering, or an adjacent enterprise technology role. Hands-on experience building production data pipelines, including ingestion, semantic or domain modeling, data quality, and lineage. Hands-on Databricks experience, including Unity Catalog, medallion architecture, and Mosaic AI or model serving. Hands-on experience shipping production AI solutions, such as retrieval-augmented, conversational, or agentic applications, grounded in data pipelines you built. Proficiency in Python and strong software engineering fundamentals, including testing, code review, CI/CD, deployment, and production support. Experience integrating enterprise systems through APIs, events, or middleware, including authentication, retries, reconciliation, and auditability. Experience with an LLM or cloud AI platform such as Vertex AI, Anthropic, or OpenAI and an automation platform such as Workato, n8n, Camunda, or similar. Working knowledge of data governance, privacy, and security practices applied to production data pipelines and products. Desired Qualifications: Experience with the Mosaic AI Agent Framework or Unity Catalog functions used as agent tools. Experience with enterprise or federated search, vector databases, or permission-aware retrieval. Experience with agent frameworks such as LangGraph, Pydantic AI, LangChain, or CrewAI. Experience with LLM or agent evaluation and observability, such as MLflow tracing. Experience with dimensional modeling or master data management. Experience integrating Workday, ServiceNow, Coupa, Concur, Oracle, OneStream, or Ironclad. Experience with GCP or AWS data services, dbt, containers, or serverless computing. For this role, you’ll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position. Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: Remote - Global Flex is a growth-stage, NYC headquartered FinTech company that is building the payment layer for life's financial obligations, giving households one place to see, split, and pay their bills around how they live and get paid. By offering greater choice over how and when payments are made and allowing eligible on time payments to help build a positive credit history, Flex puts households back in control of their cash flow. That work brings together people with different perspectives who challenge the status quo and take ownership of solving difficult problems. For you, that means doing the best work of your career next to people who make you better, and together bringing ideas to life that make a real impact for the people we serve. About Our Opportunity Flex exists to make paying rent work the way real life actually works — smoothing out cash flow, helping renters avoid late fees, and letting them build credit instead of falling behind. As a Senior Staff Software Engineer, you'll oversee the technical roadmap for the team, working across APIs, SDKs, and Web experiences. You will work with teams across the organization including Engineering, Product, Design, Infrastructure, Sales, Partner and Customer Success to ensure that the technical strategy meets our goals. We expect you to be hands-on and execute work as an individual, and build products that allow for flexibility as we evolve our product offerings. About Our Team! We have some really exciting teams who are looking for an amazing engineer like you! Check them out! Partner Integrations - Partner integrations work to standardize APIs, tools, and processes that let external partners connect to Flex for data sharing and payments across entry points like Flex Anywhere Who thrives here? A Doer — you get things done efficiently, and you're comfortable rolling up your sleeves when something's blocking the team. An Owner — you take full accountability for what you build, from design through production, and you always have a plan B. Someone Collaborative — you bring people together to pressure-test ideas rather than working in a silo. Someone with Precision — your code and your communication are both clear, because ideas only matter once others can act on them. Someone Resilient — systems break and priorities shift, and you adapt without losing momentum. Someone Humble — you care more about getting to the right answer than being the one who's right. Qualifications: Bachelor or above degree in Computer Science or a related field Minimum of 10 years experience in software engineering, with at least 3 years of technical leadership experience in a hands-on capacity Ability to work on a globally-distributed team with a high degree of ownership Experience leading the delivery of multiple highly impactful products end to end, on time with a high quality bar Experience working with technical and non-technical stakeholders, successfully aligning and setting expectations on scope and delivery Ability to drive yourself and your team to bring quality and consistency to their code and architecture, without compromising velocity Ability to grow in a fast-paced and dynamic environment that will challenge you to always bring your best Experience in designing and developing solutions that maximize ROI and lead to significant business impact Experience working in FinTech and familiar with major payment rails Experience working with Sales stakeholders and/or building products for Sales professionals Experience building integrations with external partners & managing relationships with external stakeholders Experience working on AWS cloud based applications Compensation Flex takes a market-based approach to pay, and compensation may vary depending on your primary work location. Work locations are categorized into one of three tiers based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be commensurate with their experience, qualifications, and Flex’s internal leveling guidelines and benchmarks. Tier 1 (NYC/Bay Area, Los Angeles, Seattle) $240,000 — $300,000 USD Tier 2 (Austin, Washington D.C. Philadelphia, San Diego, Chicago, Atlanta) $216,000 — $270,000 USD Tier 3 (Salt Lake City, all other USA cities) $204,000 — $255,000 USD Life at Flex Building a successful company takes a diverse team of intelligent, curious, determined, empathetic, and self-aware people. Our headquarters is in New York City, with employees across the US, Australia, Canada, and South America. We’re growing quickly and deliberately, with a focus on building an inclusive culture. We value the perspectives our people bring and take pride in being an equal opportunity workplace. Offices Roles posted in New York, San Francisco, and Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program. Benefits View our benefits and more at getflex.com/careers .

Задачи: — Проектирование, внедрение и поддержка DevOps-инструментов для дата-пайплайнов и платформ. — Поддержка и автоматизация ETL-воркфлоу (например, Spark, Airflow). — Создание и управление мониторингом и наблюдаемостью качества данных (DBT), дата-пайплайнов и систем хранения. — Внедрение и поддержка инфраструктуры хранения данных на AWS (S3, EC2, сеть). — Интеграция и поддержка Project Nessie как транзакционного каталога для Data Lakes с семантикой, похожей на Git. — Тесное взаимодействие с Data Engineers для обеспечения плавного деплоя, версионирования и масштабирования дата-задач и пайплайнов. — Автоматизация деплоя и CI/CD процессов с использованием GitLab CI/CD. — Обеспечение лучших практик безопасности при работе с чувствительными данными. — Написание автоматизации инфраструктуры на Python, Bash, Ansible. — Документирование систем, пайплайнов и DevOps-процессов. Требования: — Опыт 5+ лет в DevOps / IT Ops / DataOps с практическим опытом работы с инфраструктурой, связанной с данными. — Глубокие знания Linux (сеть, настройка ядра, оптимизация производительности). — Практический опыт работы с Airflow, ClickHouse, DBT, Spark и Project Nessie. — Солидные знания AWS (S3, EC2, IAM, сеть). — Владение скриптингом и автоматизацией (Python, Bash, Ansible). — Опыт работы с CI/CD пайплайнами (GitLab). — Опыт с мониторинговыми стеками (Prometheus, Grafana, ELK). — Знакомство с контейнеризацией и оркестрацией (Docker, Kubernetes). — Понимание концепций управления данными. — Сильные коммуникативные навыки и проактивный подход. Желательно: — Опыт работы с потоковой обработкой данных в реальном времени. — Знание инфраструктуры как кода (Terraform). — Знакомство с безопасностью в дата-инжиниринге (IAM, шифрование, контроль доступа). — Опыт работы с высокопроизводительными системами или в торговой среде.

Location: Remote What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking a Staff Security Engineer to serve as a technical anchor for our security function. This role is critical for leading technical design reviews and ensuring our security posture scales alongside our rapid customer growth. You will be responsible for defining the security standards that protect sensitive healthcare data, ensuring our systems are resilient against evolving threats while maintaining high engineering velocity. Where you will work: Garner is headquartered in NYC, but this position is available for individuals who are comfortable with remote work and occasional travel to HQ. What you will do: Lead technical security design: Own the technical design and review process for security-critical systems, ensuring all new features meet Garner's high standards for data protection and resilience Master complex domains: Maintain and apply a mastery of one or more technical security domains (e.g., Cloud Security, AppSec, or Data) to solve the most complex business and technical challenges Course-correct technical direction: Identify when technical paths are inefficient or insufficient and proactively redirect efforts to capture higher ROI for the firm Architect automated defenses: Create and implement advanced tools and automation that increase the efficacy of security monitoring and incident response Translate ambiguity into execution: Take broad, complex security objectives and break them down into well-defined deliverables and architectural requirements for the broader engineering team Mentor through technical rigor: Raise the bar for the engineering function by providing high-level feedback during code and design reviews, fostering a culture of security-first development The ideal candidate has: Exceptional Technical Judgment: Proven ability to make high-stakes technical decisions that result in positive long-term outcomes for the company's security posture Strategic Problem-Solving: Effectively leverages context and data to analyze root causes and prioritize security initiatives that offer the greatest impact on risk reduction Influential Stakeholder Management: Builds strong relationships across the organization, conveying complex security risks in a clear and compelling manner to both technical and non-technical partners Drive for Innovation: Continuously identifies and implements creative solutions to pay down technical debt and improve the efficiency of our security infrastructure Reliability Under Pressure: Handles complex escalations and security incidents with discipline, ensuring rigorous analysis and comprehensive resolution without jumping to conclusions A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback Technologies we use: Python, Kubernetes, Snowflake, AWS, Terraform, Wiz, Cyberhaven, and more This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Compensation Transparency: The target salary range for this position is $258,000 - $310,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: Lithuania OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement. This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch. Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers. As part of our team, your responsibilities in this role will include: Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed. Build and maintain MCP servers and tool layers that give agents governed access to company data and systems. Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing. Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks. Contribute to shared platform pieces: the agent template, the LLM gateway, observability. Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent. Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes. Our ideal candidate possesses the following skills: 5+ years of software engineering experience, with production systems you've designed, shipped and supported. Proven experience building LLM-based agents or agentic workflows that reached production with real users. Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one. Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data. Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management. Strong Python and SQL. Comfortable in TypeScript/Node.js. Solid production engineering on AWS: Docker, CI/CD, testing, observability. Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes. Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce. Clear communication with technical and non-technical stakeholders, in English. Nice to have: LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar). B2B contact and company data: enrichment, deduplication, matching. Cloud operations or FinOps: monitoring, incident handling, cost management. Event-driven or workflow-engine experience (Kafka, Temporal or similar). Experience replacing no-code or workflow-tool automations with production code. What we offer: Fully remote work format; A collaborative and creative environment that values initiative and experimentation; Paid time off and sick leave; Reduced working hours on Fridays during the summer; Days-off on US national holidays + your birthday; Schedule: 14 PM - 23 PM EEST (Kyiv time).

Location: Romania OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement. This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch. Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers. As part of our team, your responsibilities in this role will include: Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed. Build and maintain MCP servers and tool layers that give agents governed access to company data and systems. Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing. Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks. Contribute to shared platform pieces: the agent template, the LLM gateway, observability. Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent. Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes. Our ideal candidate possesses the following skills: 5+ years of software engineering experience, with production systems you've designed, shipped and supported. Proven experience building LLM-based agents or agentic workflows that reached production with real users. Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one. Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data. Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management. Strong Python and SQL. Comfortable in TypeScript/Node.js. Solid production engineering on AWS: Docker, CI/CD, testing, observability. Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes. Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce. Clear communication with technical and non-technical stakeholders, in English. Nice to have: LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar). B2B contact and company data: enrichment, deduplication, matching. Cloud operations or FinOps: monitoring, incident handling, cost management. Event-driven or workflow-engine experience (Kafka, Temporal or similar). Experience replacing no-code or workflow-tool automations with production code. What we offer: Fully remote work format; A collaborative and creative environment that values initiative and experimentation; Paid time off and sick leave; Reduced working hours on Fridays during the summer; Days-off on US national holidays + your birthday; Schedule: 14 PM - 23 PM EEST (Kyiv time).

Location: Pune, India Workplace: Hybrid Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. Solvd is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. We are looking for an experienced Snowflake Native App Architect to design and own the end-to-end architecture of a workforce intelligence platform being re-built as a native application on the Snowflake Marketplace. This is a technically broad, fast-paced engagement with a hard deliverable: a published, Snowflake-approved Marketplace application. You will work alongside a cross-functional team spanning data engineering, backend, DevOps, and QA — guiding all architectural decisions and leading the Snowflake Security Review process from start to finish.   WHAT YOU'LL DO Architecture & Design - Design the Application Package structure per Snowflake Native App Framework specifications, including permission declarations, egress declarations, and manifest. - Architect a cloud-agnostic strategy — Azure-first, with modular extensibility for AWS and GCP. - Design the end-to-end data flow from a desktop collector through to the customer's Snowflake environment, documenting all encryption points and access controls. - Evaluate and recommend migration tooling for the Talend → dbt/Snowflake transition. Platform & Compliance - Lead preparation for the Snowflake Security Review — package structure, data access patterns, network egress documentation. - Own provider account setup and the versioning/release architecture. - Produce the architecture diagram and compliance documentation package required for the Marketplace listing.   WHAT YOU BRING - 7+ years of experience in cloud or data architecture. - Hands-on experience with Snowflake, including the Native App Framework or Snowpark. - Proven track record delivering architecture documentation for platform reviews or compliance processes. - Experience publishing or contributing to a Snowflake Marketplace application. - Familiarity with dbt, Streamlit, or Snowflake Cortex. - Experience with Talend or similar ETL migration projects. - Strong written communication skills — this role produces documentation that goes to external reviewers. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: Australia Workplace: Remote ABOUT THE TEAM The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists. WHAT YOU WILL DO - Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform. - API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services. - Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools. - Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation. - Oncall: Participate in the daytime oncall rotation along with the rest of the team. - Developer Experience: Design and implement developer tools, SDKs, and documentation that enable users to leverage ClickHouse’s AI/ML capabilities. WHAT YOU WILL BRING ALONG - 5+ years of software engineering experience in production environments - Exposure to working directly with AI/ML technologies - Backend development experience in TypeScript or Python, with a focus on API design and service architecture - A high level of ownership and can drive features from concept to production with minimal supervision - Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders Nice to have - Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases - Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment - Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Задачи: — Проектировать, разрабатывать и обслуживать масштабируемые серверные системы для поддержки развертывания. — Создавать надежные и эффективные API в платформу GotIt. — Создавать системы хранения и поиска данных, оптимизированные для обработки больших объемов текстовых данных, необходимых для задач обучения и вывода. — Выявлять проблемные места в производительности и оптимизировать, повышая эффективность и оперативность серверных служб. — Внедрять передовые методы обеспечения безопасности для защиты конфиденциальных данных и обеспечения соответствия отраслевым стандартам и правилам. Требования: — Степень бакалавра или магистра в области компьютерных наук, инженерии или смежных областях. — Минимум 5 лет опыта в серверной разработке с упором на проектирование и внедрение масштабируемых систем. — Опыт серверной разработки на Kotlin, либо Java, но с переходом на Kotlin. — Знание английского языка. — Опыт работы с реляционными базами данных (PostgreSQL) и разработка эффективных моделей данных. — Опыт проектирования и разработки RESTful API и использования WebSocket. — Знание облачных платформ AWS, Azure или Google Cloud, опыт развертывания и управления серверными службами в облаке. — Понимание принципов DevOps и опыт работы с Docker, Kubernetes, CI/CD. — Знания в области машинного обучения, знакомство с TensorFlow, PyTorch является плюсом. — Опыт работы с технологиями и платформами обработки естественного языка (NLP). — Опыт работы в Agile. — Вклад в проекты с открытым исходным кодом или активное участие в технических сообществах. — Опыт работы с технологиями больших данных, такими как Apache Hadoop или Spark. Условия: — Частичная занятость. — Возможность присоединения к международной команде на постоянной основе на полный день. — Возможность стать руководителем направления. — Возможность путешествий/переезда в США.