Разработка вакансии - гибрид

Location: Minsk; Warsaw Workplace: hybrid About the Role:     Our National Retail Solutions brand is a highly successful Point-of-Sale (POS) SaaS business, rapidly expanding into new sectors with over 40,000 software and hardware terminals in independent retailers like: convenience stores, bodegas, liquor stores, small grocers, and tobacco shops.  We’re looking for a highly technical, hands-in-code Engineering Manager, with experience building highly scalable and robust systems who wants to focus on: 1. Team Building: Hiring, Coaching, Firing. 2. Engineering Process: Agentic Development. 3. Technical Leadership. You’ll work cross-functionally with engineering, design, operations, go-to-market teams, and executive leadership to create intuitive, scalable products that solve real operational challenges for our customers. This is an opportunity to build meaningful products from the ground up in a fast-moving environment where customer empathy, speed, and product quality matter. Requirements: Proven Leadership Experience: 5+ years in technical leadership and people management at a SaaS business. Product background: Experience building Point-of-Sale (POS) systems is a strong plus. Technical Depth: Proven background as a software engineer with a track record of driving large-scale distributed systems or complex platform architectures. Talent Development: Proven experience in scaling engineering orgs (e.g., growing teams from 10 to 15 engineers) and building career frameworks. Communication & Influence: Exceptional stakeholder management skills with experience presenting to executive leadership and non-technical stakeholders. Language Proficiency: Good command of English, at B2 level or higher. Russian language would be a plus. We offer you: Hybrid/office in Belarus or remote b2b in Poland. Stable job with long-term growth perspective. Competitive salary with annual performance review. Really good hardware. An exciting and challenging job with talented people around. Continuous learning and career growth opportunities. Compensation for professional training, seminars, and conferences. Referral program – get rewarded for helping us grow the team with talented people. Company-supported English classes to enhance your professional growth. More perks for the Minsk office employees. A few words about us: IDT Corporation is a global communications company founded in 1990 and headquartered in Newark, New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20 countries, and have over $1.5 billion in revenues.  We are not ”another big IT corporation”— we encourage and support in-house entrepreneurs in developing their ideas into business actions. Our National Retail Solutions brandprovides a sales management system and POS equipment to small and medium-sized businesses. With the help of NRS, business owners can solve a management problem: the product includes integrated advertising, data analysis, and payment processing.

Location: Limassol; Nicosia; Athens; Thessaloniki; Fully Remote - in other eligible locations Workplace: hybrid The Role:   We are looking for a Software Development AI Technical Expert to serve as the department’s designated AI specialist and lead the responsible evaluation, adoption and practical application of AI across Software Development and Software Quality Assurance. The role will research emerging AI technologies, support experimentation and pilot projects, and translate successful solutions into practical tools, standards and development practices. You will provide technical guidance on AI-enabled development, code quality, security, AI advocacy, capability building and impact measurement. You will work closely with Software Development and Software Quality Assurance teams to develop practical, responsible and measurable AI-native ways of working that improve productivity, quality, security and innovation. The main responsibilities of the position include: Act as the subject-matter specialist for AI-enabled Software Development and Software Quality Assurance, maintaining current knowledge of large language models, AI development tools, AI agents and emerging technologies. Research and benchmark AI applications, tools, vendors and industry practices, assessing their relevance, maturity, limitations, security and potential value to the organisation. Provide expert advice on the practical and technical application of AI across the Software Development Lifecycle, from requirements and design through coding, testing, deployment and monitoring. Explore, prototype and evaluate AI capabilities and use cases, defining clear objectives, success criteria, evaluation methods and recommendations. Contribute to AI pilots from concept through implementation and evaluation, identifying lessons learned, adoption requirements and opportunities for scaling successful solutions. Support the transition of approved AI tools and practices into Software Development and Software Quality Assurance, including AI code assistants, automated code review, AI-supported testing and intelligent CI/CD practices. Develop guidance, standards and best practices for the responsible use of AI and AI-generated code, covering quality assurance, security, data protection, intellectual property, maintainability and human oversight. Establish and monitor measures of AI effectiveness and impact, including output quality, reliability, usability, developer experience, cycle time, defect rates, deployment frequency, test coverage and rework. Assess the AI maturity of Software Development and Software Quality Assurance teams and recommend practical actions to improve organisational capability. Support cultural change, knowledge-sharing and upskilling through playbooks, prompt libraries, FAQs, onboarding materials, reusable templates, case studies and communities of practice. Collaborate with stakeholders across IT, the Group and other departments to identify and assess AI opportunities aligned with business priorities, roadmaps and projects. Collaborate with AI representatives across the Group to share knowledge and support a coordinated approach to AI adoption. Maintain relationships with vendors, research communities and industry peers, bringing relevant developments and insights back to the organisation. Represent the Group, when requested, at conferences, external events and industry forums, contributing to presentations, demonstrations, articles and other technology-related activities. Main requirements: BSc/MSc in Computer Science, Data Science, Engineering or a related field, or equivalent practical experience. At least 7 years of experience in IT engineering roles, including experience in a managerial or leadership role within a Software Development team. Solid working knowledge of the modern AI landscape, including Large Language Models, AI agents, automation platforms, prompt engineering techniques and practical business applications. Demonstrated experience modernising or transforming software development lifecycles through AI tooling and automation. Deep understanding of modern SDLC practices, including CI/CD, DevOps and platform engineering, combined with hands-on experience with AI-powered development tools. Strong Machine Learning and AI background, with hands-on experience building, prototyping or deploying AI solutions. Experience contributing to governance frameworks covering quality assurance, security review or intellectual property considerations for AI-generated outputs. Solid understanding of IT engineering metrics and data-driven measurement of development performance. Exposure to AI or IT engineering maturity models and experience assessing team capabilities against defined frameworks. Experience evaluating technology vendors and AI tooling through trials, benchmarking and recommendations. Experience presenting to and working directly with senior or C-level stakeholders. Public speaking or conference presentation experience in AI or technology, with the ability to inspire technical and non-technical audiences. Innovative and curious mindset, with the ability to explore emerging technologies, challenge unsupported claims and identify practical applications. Proficiency in written and spoken English. Ability to work independently and collaboratively in fast-paced environments. Strong analytical and problem-solving skills. Strong organisational skills, with the ability to manage multiple initiatives and priorities. Willingness and ability to continuously learn and upskill. The following will be considered an advantage: Experience in fintech, trading or financial services. Experience working with or within an innovation lab or applied research environment. Experience with AI or IT engineering maturity frameworks. Experience representing an organisation at external technology events and industry forums. Benefit from: Attractive remuneration package Intellectually stimulating work environment Continuous personal development and international training opportunities Attractive relocation package and support for a smooth relocation for you and your family The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy Policy and the Confidentiality Undertaking.

Участие в пресейлах; Проведение предпроектного обследования;

Cerebras Systems is looking for a Head of Developer Relations to lead developer advocacy, create technical content, and grow developer adoption.

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Container runtimes were designed for general-purpose software workloads. AI inference is not a general-purpose workload. Running large models at production scale exposes cracks in every layer of the container stack: runtimes unaware of GPU memory constraints, images that take minutes to pull when a model needs to scale to thousands of replicas, and isolation mechanisms that weren’t designed for the multi-tenant serving environments that production AI requires. The tools the industry has relied on for a decade weren’t built for this, and patching around those limitations at higher layers only goes so far. Baseten owns the entire pipeline, from the moment a developer pushes a model to the moment a request gets a response. That vertical ownership means we can fix these problems at the root. The Runtime Fabric team is doing exactly that: purpose-building the container runtime and storage layers for AI inference workloads, led by some of the world’s top containerd maintainers. As Engineering Manager for Storage Products on the Runtime Fabric team, you will lead the engineers who build and run the storage products behind that stack: the Baseten Delivery Network (BDN), which sits in the cold start path of every model on the platform, the snapshotters and filesystems that expose model weights and container images to a running container, and the storage that model deployment and training need next. The team is advancing the next generation of caching for inference workloads, from the origin tier to the GPU host. You will own reliability for the area as a measured outcome, report to the head of Runtime Fabric, and stay close to the code through design and code review. If you’ve managed systems engineers and have hands-on experience with caching, content-addressable storage, or distributed filesystems, we’d love to talk. EXAMPLE INITIATIVES - How the Baseten Delivery Network (BDN) makes cold starts fast https://www.baseten.co/blog/how-the-baseten-delivery-network-bdn-makes-cold-starts-fast/ - Extending BDN from model weights to container image layers, training checkpoints, and deployment artifacts - Lazy-loading snapshotters and block-level delivery (EROFS, FUSE, ublk) so a container can start before the full image or model has arrived RESPONSIBILITIES Team Leadership and Culture - Hire and grow a team of 5 to 10 systems engineers with storage, caching, and Linux expertise - Run the team’s planning and delivery: scope work against the Runtime Fabric roadmap, set priorities, and ship on a predictable cadence - Provide regular coaching, feedback, and career development support to your direct reports - Own on-call health for the team’s services, including escalation paths and follow-through on incidents Technical Direction - Guide the architecture and evolution of the Baseten Delivery Network: the tiered caching and weight delivery product that makes cold starts 2-3x faster and eliminates thundering herd failures during burst scaling events - Shape storage products tailored to Baseten’s workloads: extend BDN from model weights to container images, training checkpoints, and deployment artifacts, and define the interfaces that model deployment, training, and customers use to reach them - Oversee the on-host side of delivery: lazy-loading snapshotters, EROFS and overlayfs layouts, and block-level delivery (FUSE, ublk) for multi-gigabyte files - Own reliability of the delivery path as a measured outcome: end-to-end instrumentation from snapshotter initialization to first inference request, targets for cold start and cache behavior, tolerance for failing upstream registries and object stores, and safe rollout of changes to a path every customer depends on - Make the delivery path work across heterogeneous clusters and cloud providers, each with its own object store and network - Review designs and code across the area, and take on hands-on work where it unblocks the team - Champion the team’s contributions back to containerd and the snapshotter ecosystem alongside the maintainers on the Runtime Fabric team Cross-Functional Partnership - Act as the point of contact for storage across Baseten, ensuring model deployment, training, and platform teams have the integration support they need - Optimize requirements for the underlying storage platforms with the infrastructure team: object storage, local NVMe and block storage, and network bandwidth per cluster, so that capacity and provider decisions account for what the delivery path needs - Manage the team’s dependencies in both directions: sequence work that model deployment, training, and infrastructure teams block on, and negotiate interfaces and timelines with the teams and upstream projects the storage path depends on - Work with the head of Runtime Fabric and product stakeholders to prioritize storage investments based on customer impact and infrastructure reliability - Communicate team progress, technical trade-offs, and incidents clearly to the team and to leadership REQUIREMENTS - Experience managing a team of engineers in a systems, infrastructure, or storage context, including hiring and performance management - Hands-on background in distributed storage systems, content-addressable storage, or large-scale caching infrastructure - Strong systems programming background in Go, Rust, and/or C/C++, with the ability to engage credibly in code reviews and architectural discussions - Working knowledge of the Linux storage stack: filesystems, the page cache, block devices, and mounts - Understanding of how container images are structured, stored, and delivered at scale - Strong written and verbal communication skills, with the ability to influence without authority across teams NICE TO HAVE - Contributions to containerd/containerd, snapshotter projects (stargz, soci, nydus, overlaybd), distribution/distribution, or closely related open-source projects - Familiarity with lazy-loading snapshotters or peer-to-peer image distribution - Experience with EROFS, FUSE, ublk, or io_uring - Experience building or operating CDN, object storage, or large-scale caching infrastructure - Experience running storage services on Kubernetes BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Поддержка и разработка основной конфигурации на УТ 11.1; Оказание технической поддержки сотрудникам компании.

Разработка бекэнд для автоматизированных систем, направленных на мониторинг информационного пространства. Доработка и автоматизация уже существующих систем.

• Разработка backend для AI-агентов. • Интеграция с API существующих АС.

Работать в крупных внедрениях программных продуктов по проектной технологии; Работать в команде проектной группы: руководитель отдела, руководители проектов, архитектор, программисты 1С, бизнес-аналитики 1С;

Нам нужно чтобы ты: Разрабатывал высоконагруженные, масштабируемые и легко поддерживаемые приложения; Участвовал в проведении код-ревью и ревью дизайна на соответствие архитектурным стандартам;

Зона ответственности: Выполнение роли бэкенд-разработчика в команде web-разработки, отвечающей за развитие e-commerce платформы B2B. Разработка бэкенда B2B-личного кабинета на PHP Laravel.

- Проектировать и разрабатывать компоненты programmatic-платформы; - Проектировать отказоустойчивые, масштабируемые, поддерживаемые сервисы;

• Технологическая стратегия, архитектура, развитие команды и инженерных процессов. • Активное внедрение AI в разработку.

• Опыт 2–6 лет.

- Выстроить конвейер внедрения AI-решений: от заявки до поддержки; - Развивать Doc AI и автоматизацию обработки документов;

-Проектировать и разрабатывать сервисные модули (расписание, учетные блоки, маршрутизация, отчетность). -Разрабатывать сквозные обмены данными и интеграции, обеспечивать связность данных без дублирования.

-Ядро платформы на Python: сессии, ходы агента, политики заказчика, учёт; агентный цикл под бюджет хода.

Triune Infomatics is looking for a SAP BusinessObjects Report Developer Report Writer to design, test, and deploy budgeting reports.