Вакансии

Location: United States of America What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Director, Organic Social Media Marketing Location: Remote US US Compensation Range: $130,000 to $140,000 base, plus bonus and equity What You'll Do: Huntress is looking for a Showrunner to own our B2B livestream programming end-to-end — from concept through story development to post-show cutdowns. You'll be the creative force behind our live product and thought-leadership streams, working directly with our Director of Organic Social Media and Content. This is a builder's role: you'll start as the sole owner of the discipline and grow it into a function as the slate expands. You should think like a TV producer, not a webinar coordinator. We want someone who can shape a narrative arc for a 45-minute product livestream the same way they'd shape one for a talk show — casting the right voices, writing the copy that makes an exec sound human, and making sure the thing doesn't feel like corporate content. Responsibilities: Own the full production lifecycle of Huntress's B2B livestreams and related video programming, including concept development, pre-production, scripting, and post-production. Research the story through background interviews and SME research, then write host scripts, talking points, and voice-over copy that bring the narrative to life. Cast, direct, and coach internal SMEs, executives, and partner guests so non-professional presenters perform with confidence on camera. Oversee cutdowns and repurposing of livestream content into shorts and social-first formats. Build the show calendar, production documents, and runsheets that keep the program predictable and repeatable. Partner with social, email, and demand generation on stream packaging and promotion, and help build the production function as the slate grows. Use AI tools to speed up everyday scripting, editing, research, and production workflows while applying sound editorial judgment. What You Bring to the Team: Experience as a producer, showrunner, or executive producer in cable news, podcast or YouTube production, corporate livestream or webinar production, or a similar field. A natural reporter's instinct to conduct the interview, find the real story, and build the narrative rather than take a brief at face value. The ability to write scripts, host copy, and voice-over, while coaching nervous SMEs and executives to sound like real people on camera. Comfort being the only production person in the room, paired with a systems mindset that turns one-off execution into a repeatable process. Fluency with production tools, including Adobe Suite and basic post-production workflows, along with the taste to make B2B livestreams feel like compelling programming. Experience producing in a B2B marketing or demand generation context, or a track record of building a production function from scratch. The ability to use AI tools with good judgment to work faster and smarter across scripting, editing, research, and production workflows. What We Offer: 100% remote work environment - since our founding in 2015 Generous paid time off policy, including vacation, sick time, and paid holidays 12 weeks of paid parental leave Highly competitive and comprehensive medical, dental, and vision benefits plans 401(k) with a 5% contribution regardless of employee contribution Life and Disability insurance plans Stock options for all full-time employees One-time $500 reimbursement for building/upgrading home office Annual allowance for education and professional development assistance $75 USD/month digital reimbursement Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Задачи: — Формировать и реализовывать технологическую стратегию компании; — Развивать архитектуру инвестиционной платформы и high-load систем; — Принимать ключевые архитектурные и технические решения; — Руководить engineering-командой, развивать специалистов и масштабировать команду; — Сохранять hands-on вовлеченность: работать с кодом, проводить code review и участвовать в решении сложных технических задач; — Развивать cloud-инфраструктуру на базе AWS и Kubernetes; — Выстраивать процессы reliability, observability, monitoring и incident management; — Участвовать вместе с продуктовой командой в product discovery и запуске новых продуктов; — Формировать технический roadmap и управлять техническим долгом; — Обеспечивать необходимый уровень безопасности финансовой платформы. Требования: — 3–5+ лет опыта управления engineering / technical-командами; — Сильный software engineering background и готовность оставаться hands-on; — Опыт проектирования и развития high-load архитектуры; — Практический опыт с AWS, Kubernetes и cloud-native инфраструктурой; — Глубокое понимание backend-разработки и распределенных систем; — Опыт построения engineering-процессов и управления технической командой; — Понимание reliability, observability, scalability и security; — Опыт работы с Agile / Scrum и продуктовой разработкой; — Английский для технической документации и профессиональной коммуникации; — Русский язык для внутренней коммуникации. Будет плюсом: — Опыт в FinTech: brokerage, investments, FX, payments или risk management; — Опыт работы с финансовыми транзакциями и чувствительными данными; — Знание PCI DSS и практический опыт работы с его требованиями; — Опыт с crypto / digital assets; — Опыт масштабирования engineering-команды и технологической платформы. Условия: — Ключевая технологическая роль с прямым взаимодействием с CEO; — Возможность определять технологическую стратегию и архитектуру продукта; — Существенное влияние на технические и продуктовые решения; — Возможность формировать и развивать собственную engineering-команду; — Full-time работа из офиса в Ереване; — Официальное трудоустройство в соответствии с законодательством Республики Армения; — Бонусная политика по результатам работы компании и команды; — Помощь с релокацией в Ереван для кандидатов.

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are looking for candidates in the US and Canada. The Opportunity: Grafana Enterprise is our composable observability platform focused on large-scale operators with security and regulatory requirements who need to self-operate their observability solutions. Grafana Enterprise features are also part of our Grafana Cloud service. Grafana Cloud is an integrated suite of observability applications offered as a service. It allows our customers to leverage the best open source observability software, including Prometheus, Mimir, Loki, and Tempo,  without the overhead of installing, maintaining, and scaling their own observability stack. The Grafana Enterprise team is a diverse team of expert technologists working remotely from around the globe. The team focuses on innovative solutions to large-scale customer challenges and developing solutions that improve security, robustness, flexibility, multitenancy, and interoperability on behalf of our customers. We work across the larger Grafana Labs organisation and directly with external customers, including major cloud service providers and global enterprises running observability and build infrastructure at massive scale, to solve their most demanding distributed systems challenges. Our customers include software engineers, site reliability engineers, and platform operators at medium, large, and global enterprises. As a company we are remote-only and global; we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. Our meetings tend to happen between 14:00 and 17:00 UTC, but we are flexible and responsive to the needs of our engineers and our customers. We measure ourselves by our openness, helpfulness, and our shared successes. We are looking for experienced software engineers who are passionate about distributed systems and building reliable, scalable backend infrastructure to join our growing team. Our backend is Go, and we build tools for people operating some of the world's largest observability and software delivery stacks. Backend Engineers at Grafana also contribute to open source communities. What You’ll Be Doing: Earning the trust of our large-scale operator customers to further Grafana's "big tent" philosophy of data accessibility and to meet clear business objectives Designing and leading the development of backend services, distributed systems, and enterprise features at scale Driving continuous improvement of our engineering culture through words and actions Driving projects from initial ideation through the development lifecycle to production Contributing to the scalability, reliability, security, and multi-tenancy of the Grafana platform trusted by some of the world's largest operators Owning the operational health of our platform by participating in weekday 12h x 5d and separate weekend 24h x 2d on-call rotations. (Yes, we prioritize ops load reduction.) Hiring and developing the best engineers to build the future of Grafana Developing your skills as a thought leader to drive continuous improvement of engineering and operational practices across Grafana Labs As we are remote-first, we provide guidance and meet regularly using video calls, so strong teamwork and excellent written and interpersonal communication skills are a must. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.7, Gemini 3 Pro). What Makes You a Great Fit: You work well as a communicative member of a team of engineering professionals. You earn trust by saying what you mean and doing what you say. You are customer focused and especially attuned to the needs of large-scale operators who rely on Grafana as critical infrastructure. You start with their needs and work backwards. You insist on the highest standards and work to develop the skills and knowledge of your fellow team members. You take on complex distributed systems challenges, break them down into digestible problems, and leverage your team and organization to deliver. You design modular solutions, deliver minimum loveable products, gather data and feedback, and then progress iteratively. What will you be doing? (Role specifics) As a Staff Backend Engineer, you will design and build the backend systems powering Grafana Enterprise — the platform trusted by the world's largest operators to run their observability and software delivery infrastructure. Hiring and developing the best engineers we can to deliver the future of Observability. Architecting and implementing distributed backend services in Go, with a focus on correctness, observability, and performance at scale Designing APIs and service contracts used by thousands of enterprise operators and cloud service providers Collaborating with Product and UX to shape features and partnering with frontend engineers to ship complete, end-to-end solutions Driving scalability and reliability improvements that matter to large-scale operators running Grafana in regulated, high-availability environments Engaging directly with large enterprise customers and cloud service providers to understand their requirements and translate them into robust engineering solutions Advocating for our customers at every stage of the development lifecycle What technical competencies are we looking for? Deep professional experience writing production services, from ideation through to production operations at scale Strong distributed systems fundamentals: replication, consistency models, partitioning, fault tolerance, and the trade-offs that come with operating at scale Demonstrated experience designing and operating systems for large-scale, high-traffic, high-availability, or multi-tenant environments, ideally in the context of infrastructure, observability, or software delivery platforms Professional experience building and consuming gRPC/protobuf APIs and designing clean service contracts across service boundaries Strong database skills, such as PostgreSQL and/or MySQL; including schema design, query optimisation, and schema migrations at scale Experience with large-scale CI/CD systems and build tooling, designing, operating, or integrating with continuous delivery pipelines that serve large engineering organisations or external operators at scale Comfort working with Kubernetes and containerised deployment environments, including patterns for operating stateful workloads and multi-tenant clusters Experience with observability tooling: OpenTelemetry, Prometheus metrics, structured logging, and distributed tracing Familiarity with dependency injection patterns (e.g., Google Wire) and clean, testable service architecture What are your "nice to have" technical competencies? Experience with TypeScript and React for contributing to frontend features and collaborating closely with frontend engineers Experience with Grafana's LGTM+ observability stack (Loki, Mimir, Tempo, Pyroscope, Alloy) Prior experience at or building for large-scale cloud service providers, IaaS providers, or global enterprises with demanding SLA requirements Experience designing or operating large-scale build infrastructure artifact registries, distributed build caches, hermetic build systems (e.g., Bazel), or developer platform tooling In the United States, the compensation range for this role is $174,986 - $209,983 USD.  Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are looking for candidates in the US and Canada. The Opportunity: Grafana Enterprise is our composable observability platform focused on large-scale operators with security and regulatory requirements who need to self-operate their observability solutions. Grafana Enterprise features are also part of our Grafana Cloud service. Grafana Cloud is an integrated suite of observability applications offered as a service. It allows our customers to leverage the best open source observability software, including Prometheus, Mimir, Loki, and Tempo,  without the overhead of installing, maintaining, and scaling their own observability stack. The Grafana Enterprise team is a diverse team of expert technologists working remotely from around the globe. The team focuses on innovative solutions to large-scale customer challenges and developing solutions that improve security, robustness, flexibility, multitenancy, and interoperability on behalf of our customers. We work across the larger Grafana Labs organisation and directly with external customers, including major cloud service providers and global enterprises running observability and build infrastructure at massive scale, to solve their most demanding distributed systems challenges. Our customers include software engineers, site reliability engineers, and platform operators at medium, large, and global enterprises. As a company we are remote-only and global; we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. Our meetings tend to happen between 14:00 and 17:00 UTC, but we are flexible and responsive to the needs of our engineers and our customers. We measure ourselves by our openness, helpfulness, and our shared successes. We are looking for experienced software engineers who are passionate about distributed systems and building reliable, scalable backend infrastructure to join our growing team. Our backend is Go, and we build tools for people operating some of the world's largest observability and software delivery stacks. Backend Engineers at Grafana also contribute to open source communities. What You’ll Be Doing: Earning the trust of our large-scale operator customers to further Grafana's "big tent" philosophy of data accessibility and to meet clear business objectives Designing and leading the development of backend services, distributed systems, and enterprise features at scale Driving continuous improvement of our engineering culture through words and actions Driving projects from initial ideation through the development lifecycle to production Contributing to the scalability, reliability, security, and multi-tenancy of the Grafana platform trusted by some of the world's largest operators Owning the operational health of our platform by participating in weekday 12h x 5d and separate weekend 24h x 2d on-call rotations. (Yes, we prioritize ops load reduction.) Hiring and developing the best engineers to build the future of Grafana Developing your skills as a thought leader to drive continuous improvement of engineering and operational practices across Grafana Labs As we are remote-first, we provide guidance and meet regularly using video calls, so strong teamwork and excellent written and interpersonal communication skills are a must. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.7, Gemini 3 Pro). What Makes You a Great Fit: You work well as a communicative member of a team of engineering professionals. You earn trust by saying what you mean and doing what you say. You are customer focused and especially attuned to the needs of large-scale operators who rely on Grafana as critical infrastructure. You start with their needs and work backwards. You insist on the highest standards and work to develop the skills and knowledge of your fellow team members. You take on complex distributed systems challenges, break them down into digestible problems, and leverage your team and organization to deliver. You design modular solutions, deliver minimum loveable products, gather data and feedback, and then progress iteratively. What will you be doing? (Role specifics) As a Staff Backend Engineer, you will design and build the backend systems powering Grafana Enterprise — the platform trusted by the world's largest operators to run their observability and software delivery infrastructure. Hiring and developing the best engineers we can to deliver the future of Observability. Architecting and implementing distributed backend services in Go, with a focus on correctness, observability, and performance at scale Designing APIs and service contracts used by thousands of enterprise operators and cloud service providers Collaborating with Product and UX to shape features and partnering with frontend engineers to ship complete, end-to-end solutions Driving scalability and reliability improvements that matter to large-scale operators running Grafana in regulated, high-availability environments Engaging directly with large enterprise customers and cloud service providers to understand their requirements and translate them into robust engineering solutions Advocating for our customers at every stage of the development lifecycle What technical competencies are we looking for? Deep professional experience writing production services, from ideation through to production operations at scale Strong distributed systems fundamentals: replication, consistency models, partitioning, fault tolerance, and the trade-offs that come with operating at scale Demonstrated experience designing and operating systems for large-scale, high-traffic, high-availability, or multi-tenant environments, ideally in the context of infrastructure, observability, or software delivery platforms Professional experience building and consuming gRPC/protobuf APIs and designing clean service contracts across service boundaries Strong database skills, such as PostgreSQL and/or MySQL; including schema design, query optimisation, and schema migrations at scale Experience with large-scale CI/CD systems and build tooling, designing, operating, or integrating with continuous delivery pipelines that serve large engineering organisations or external operators at scale Comfort working with Kubernetes and containerised deployment environments, including patterns for operating stateful workloads and multi-tenant clusters Experience with observability tooling: OpenTelemetry, Prometheus metrics, structured logging, and distributed tracing Familiarity with dependency injection patterns (e.g., Google Wire) and clean, testable service architecture What are your "nice to have" technical competencies? Experience with TypeScript and React for contributing to frontend features and collaborating closely with frontend engineers Experience with Grafana's LGTM+ observability stack (Loki, Mimir, Tempo, Pyroscope, Alloy) Prior experience at or building for large-scale cloud service providers, IaaS providers, or global enterprises with demanding SLA requirements Experience designing or operating large-scale build infrastructure artifact registries, distributed build caches, hermetic build systems (e.g., Bazel), or developer platform tooling In Canada, the compensation range for this role is $186,368 - $223,642 CAD. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Москва Мы создаем передовые решения в области интеллектуальной обработки неструктурированного контента бизнес-инициатив Банка и жизненного цикла AI Агентов, в том числе хранения и эволюции памяти. Наши продукты составляют сервисы от high-load до UI и располагаются в 3 сегментах сети: * RAG Platform * AI Agents SkillHub * AI Agents Memory * LLM Harness * AI Studio UI Наша платформа поддерживает и развивает более 300 инициатив, обрабатывает 100М+ запросов ежемесячно и интегрирована во все клиентские сценарии банка. Мы ищем Lead DevOps с сильным уклоном в Platform Engineering, который возглавит направление DevOps платформы: сформирует эффективные процессы, осуществит переход с ClickOps, legacy кодовой базы на тестируемый код, современные GitOps практики (в том числе перестройка CI/CD пайплайнов) для всех продуктов трайба. Вы будете отвечать за конечные метрики пользования платформой несколькими командами разработки и сопровождения (DORA и пр) и будете напрямую влиять на процессы внедрения наших продуктов, улучшая их стабильность, предсказуемость и общие трудозатраты команд на релиз. Обязанности \- руководство направлением DevOps платформы \- проектирование и реализация перехода на GitOps подход \- подбор команды, планирование целей на спринт/квартал/год \- выстраивание процессов по взаимодействую с платформой со смежными командами разработки и сопровождения \- контроль и влияние на DORA метрики. Требования • проверенный опыт в создании DevOps платформы, которой пользуются несколько команд/продуктов • инженерный подход к написанию тестируемого кода • продвинутое понимание k8s/openshift, ArgoCD, Helm • архитектурное понимание и умение планировать вид платформы на годы вперед • навыки технического ведения platform engineering направления - от сбора требований от стейкхолдеров до реализации CI/CD пайплайнов • сильный уровень Python / Java / иной язык разработки. Понимание groovy бонусом. **Будет плюсом** * желание разбираться и устранять проблемы в корне, нетерпимость к "заплаткам" и накоплению техдолга * умение обосновывать сложные технические решения и в том числе выдержка и умение говорить "нет" * опыт миграций DevOps стека работающего продукта * кросс-командная коммуникация и трансляция требований на команды разработки и сопровождения * работа с multi-tenant / segmented-network продуктами. Условия * гибридный формат работы * годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * регулярные митапы и развитое DS-community * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбер.

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the team We’re looking for a talented individual to join our Rider Onboarding and Compliance Team. This is a bustling and vibrant team that helps applicants become riders to ensure we have enough riders in the fleet to supply customer demand and proactively ensure riders remain in service and compliant during their time with Deliveroo. This is the perfect opportunity to join an exciting, fast-growing business and expand your operational abilities. About the role You will report to the Rider Compliance Team Lead and collaborate with the Rider Compliance Team to proactively ensure riders remain in-service and compliant by effectively and efficiently managing compliance pipelines. In collaboration with the Rider Compliance Senior team, you will be responsible for reducing rider downtime resulting from compliance processes and ensuring Deliveroo is compliant with local laws at all times What you'll be doing: Accurately load riders to compliance sweeps to ensure we have valid and compliant rider information and documentation Monitor the rider compliance flows to ensure minimal friction in the process Provide SME compliance knowledge to Deliveroo team to ensure we successfully launch in new markets and our fleet remains compliant Manage vendor compliance queues to ensure that compliance cases are reviewed and actioned efficiently Develop and provide SME market-specific compliance knowledge to our vendors and internal teams Respond to internal and external compliance escalations Ensure the Rider Compliance Team process and training documentation is up-to-date Provide comprehensive training to new starters and our vendors Collaborate with the Compliance Team to identify opportunities for reducing inefficiencies within our processes Collaborate with the broader Rider Compliance Team to achieve KPIs and targets Proactively identify, investigate and take appropriate actions to mitigate rider compliance risk within our fleet or processes Requirements You are proficient in written and spoken English You are an excellent and confident communicator You are highly organised You are detail-oriented You are a strong team player You are happy working in a fast-paced environment and can easily adapt to change You are self-motivated and eager to learn You are curious and can challenge processes that aren’t working -- you get to the bottom of things You are familiar with G-Sheets or Excel (can maintain complex spreadsheets). Experience using Salesforce Why Deliveroo Our mission is to transform the way you shop and eat, bringing the neighbourhood to your door by connecting consumers, restaurants, shops and riders. We are transforming the way the world eats and shops by making access to food and products more convenient and enjoyable. We give people the opportunity to buy what they want, as they want it, when and where they want it. We are a technology-driven company at the forefront of the most rapidly expanding industry in the world. We are still a small team, making a very large impact, looking to answer some of the most interesting questions out there. We move fast, value autonomy and ownership, and we are always looking for new ideas. Workplace & Benefits At Deliveroo we know that people are the heart of the business and we prioritise their welfare. Benefits differ by country, but we offer many benefits in areas including healthcare, well-being, parental leave, pensions, and generous annual leave allowances, including time off to support a charitable cause of your choice. Benefits are country-specific, please ask your recruiter for more information. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Задачи: — Разработка, поддержка и оптимизация высокопроизводительной HFT-инфраструктуры и Market Making-систем. — Интеграция торговых систем с Binance и другими централизованными криптовалютными биржами (CEX). — Разработка и оптимизация обработки рыночных данных (Market Data Feed Handlers). — Реализация и оптимизация отправки, изменения и отмены ордеров (Order Execution). — Развитие инструментов и фреймворков для разработки, тестирования и внедрения торговых стратегий. — Анализ и оптимизация latency, throughput и производительности торговой инфраструктуры. — Мониторинг стабильности и производительности production-систем. — Взаимодействие с Quant-специалистами и разработчиками для совершенствования торговых алгоритмов. Требования: 1. C++ и системная разработка: ▫️ Уверенное владение C++23 и STL. ▫️ Опыт разработки высокопроизводительных систем под Linux. ▫️ Глубокое понимание многопоточности и конкурентного программирования. ▫️ Опыт разработки автоматизированных торговых систем. 2. HFT / Low-Latency: ▫️ От 3 лет опыта разработки или поддержки низколатентных торговых систем. ▫️ Практический опыт работы с Market Making. ▫️ Понимание архитектуры HFT-систем. ▫️ Опыт оптимизации latency и throughput. ▫️ Глубокое понимание cache-aware data structures, lock-free programming и custom memory management. 3. Crypto Exchanges / Market Making: ▫️ Обязательный практический опыт работы с Binance в контексте алгоритмической торговли или Market Making. ▫️ Опыт интеграции торговых систем с API криптовалютных бирж. ▫️ Понимание архитектуры CEX, matching engines, exchange gateways и Order Management Systems. ▫️ Опыт работы с Market Data Feeds и Direct Exchange Order Entry. ▫️ Опыт работы с другими крупными CEX (Bybit, OKX, Bitget и др.) будет преимуществом. 4. Networking & Infrastructure: ▫️ Глубокое понимание TCP/IP и UDP Multicast. ▫️ Опыт работы с WebSockets, REST API и application-level protocols. ▫️ Обширный практический опыт работы с AWS. ▫️ Понимание Load Balancing и архитектуры распределённых систем. ▫️ Опыт поддержки и мониторинга production-инфраструктуры. ▫️ Опыт работы с Kernel Bypass / Solarflare будет преимуществом. 5. Дополнительные требования: ▫️ Высшее образование в области Computer Science, Computer Engineering или смежных технических / количественных дисциплин. ▫️ Английский язык - B2. Будет преимуществом: ▫️ Практический опыт работы с несколькими ведущими CEX. ▫️ Опыт применения Kernel Bypass и Solarflare в production-системах.

Задачи: — Обеспечение полного цикла нагрузочного тестирования, включая анализ задачи, разработку скриптов и заглушек, запуск тестов и подготовку заключений. — Проведение деструктивного тестирования с запуском тестов и обработкой результатов. Требования: — Опыт выполнения проектов по нагрузочному тестированию не менее 1 года, включая разработку скриптов, эмуляторов и утилит генерации тестовых данных. — Знание одного из инструментов для нагрузочного тестирования: MF Performance Center, MF Load Runner, jmeter, gatling, locust. — Желателен опыт работы в IT подразделениях банковской сферы. — Знание методологий тестирования. — Владение одним из языков программирования JAVA, C#, Python, C++ на уровне разработки скриптов и эмуляторов. — Опыт работы с СУБД Oracle или PostgreSQL. — Понимание концепций контейнеризации (Docker, Kubernetes, OpenShift). — Опыт работы с технологиями и протоколами REST, JSON, XML. — Навыки работы с git. — Знание SQL на уровне DML/DDL. — Знание основ регулярных выражений Perl. — Опыт работы с инструментами мониторинга Grafana, Zabbix. — Желателен опыт работы с Influx DB и VictoriaMetrics. — Опыт работы с ОС Unix и Windows. — Навыки работы с Jira и Confluence. — Владение MS Word и Excel на уровне продвинутого пользователя. Условия: — Удалённая работа. — Зарплата до 140 000 рублей на руки. О компании: — Компания работает в IT-сфере более 10 лет, специализируется на различных видах тестирования и поддерживает руководителей проектов в обеспечении качества релизов.

Location: Minsk; Tbilisi Workplace: hybrid National Retail Solutions (NRS), a wholly owned subsidiary of IDT Corporation, helps independent retailers compete with large chains and online merchants. Our point-of-sale systems, store management tools, consumer ordering apps, web storefronts, and loyalty programs serve nearly 40,000 stores across the United States. We are fundamentally modernizing our AWS platform: infrastructure as code throughout, elastic capacity, strong security controls, comprehensive observability, and automated, controlled delivery. Join our talented team of DevOps engineers to shape the architecture, establish engineering standards, and drive incremental migrations while keeping production fully reliable. An AI-first mindset and strong software engineering ability are essential. You are comfortable diving into unfamiliar repositories and following problems across application code, infrastructure, and production behavior. We are looking for a high-performing engineer who sets a high bar, takes initiative, and sees difficult problems through. You uncover weaknesses, deliver measurable improvements, and take pride in building systems others can depend on. You hold yourself accountable for how your work performs in production. What You Will Do Build infrastructure as code. Manage infrastructure, networking, access controls, and supporting services through reusable, reviewed code. Enforce policies, detect configuration drift, and replace ad hoc changes with repeatable workflows and controlled emergency access. Make compute elastic and efficient. Automate scaling and dynamic rightsizing, improve cost visibility, and partner with developers to remove constraints on scaling. Own the lifecycle of golden AWS images (AMIs), including building, scanning, patching, validation, and rollout. Build and operate Docker workloads. Partner with developers to containerize suitable services. Standardize Dockerfiles, automate image builds and scanning, manage image lifecycles, and troubleshoot containers in production. Implement security with SecOps. Translate policy into least-privilege IAM, tightly scoped security groups, network segmentation, account isolation, secure credentials and secrets, encryption, and access auditing. Embed security into delivery. Own scanning platforms and pipeline integrations for code, dependencies, secrets, infrastructure, and images. Catch issues before merge wherever practical and enforce deployment gates. Coordinate vulnerability remediation, deadlines, and documented exceptions with SecOps and developers, owning infrastructure fixes. Automate and control releases. Build CI/CD pipelines with appropriate approvals, policy checks, protected environments, traceable releases, and dependable rollback. Establish release standards with development teams and adopt progressive deployment approaches where useful. Provide dependable environments. Automate provisioning and teardown of ephemeral environments and maintain staging, pre-production, and load-testing infrastructure. Support developer-owned load and performance tests through capacity analysis, infrastructure measurements, and tuning. Make systems observable. Establish metrics, structured and centralized logs, traces, and dashboards. Build actionable alerts for failures, emerging trends, anomalies, and capacity risks across infrastructure and customer-facing transactions. Apply AI to engineering and operations. Use assistants and agents with repositories, cloud APIs, and operational data to investigate issues, analyze trends, recommend improvements, and implement solutions. Review outputs critically and validate changes before rollout. Improve reliability and recovery. Help define reliability targets, test restoration and recovery procedures, share on-call responsibility, and lead infrastructure-related investigations with developers and support teams. Turn incident findings into lasting improvements. Build tooling and support platform adoption. Develop tested internal tools, services, APIs, and self-service capabilities. Maintain useful documentation, runbooks, and clear service ownership. Help teams migrate to the new platform and retire legacy infrastructure. Location and Working Hours This role is open to candidates based in Belarus or Georgia, with at least four hours of overlap with the business day in New York (US Eastern Time). The role includes participation in a shared on-call rotation . What You Bring Experience: 5 or more years in DevOps, platform engineering, site reliability engineering, or software engineering, with meaningful ownership of production systems. Software engineering: Demonstrated ability to design, write, review, test, and maintain code, with strong skills in a language such as Python, JavaScript, or Go, plus shell scripting. Previous experience in a software development role is a strong advantage. AI-first approach: Demonstrated use of AI assistants and agents to deliver engineering and operational improvements. You can delegate substantial work to AI agents, critically evaluate their output, and independently validate results. AWS: Strong production AWS experience across compute, Auto Scaling, load balancing, networking, IAM, and managed databases. IaC: Strong infrastructure-as-code experience with tools such as Terraform, CloudFormation, or Pulumi, including bringing existing infrastructure under consistent, version-controlled management. Docker: Strong hands-on experience with Dockerfiles, multi-stage builds, image optimization, container networking, configuration and secrets handling, and runtime troubleshooting. Golden images: Experience building and maintaining golden AWS images (AMIs), including automated configuration, patching, validation, and rollout. CI/CD: Experience designing and maintaining pipelines with automated builds, security checks, deployment approvals, and reliable rollback. Systems and troubleshooting: Strong Linux and networking fundamentals, with experience diagnosing production problems using metrics, logs, and traces. Security: Hands-on experience implementing cloud access controls, integrating security scanning into development workflows, and remediating infrastructure vulnerabilities in partnership with security teams. Databases and Data Stores: Experience supporting relational, document, and in-memory data stores—such as Amazon RDS, MongoDB, Redis, or similar technologies—with a focus on performance, reliability, and recovery. Engineering judgment: Sound judgment about scaling, failure handling, security, performance, and cost. Collaboration: Strong collaboration skills across software engineering, SecOps, QA, and support teams. You build productive working relationships, communicate tradeoffs clearly, and work through problems together. You make it easier for others to build, release, and operate software safely, and take shared responsibility for resolving issues across team boundaries. Incident response: Experience handling production incidents, communicating clearly under pressure, and following through on corrective work. Communication Skills: Strong written and spoken English. You explain complex technical issues clearly and coordinate effectively across teams in everyday work and during incidents. We value depth of understanding over familiarity with every named tool. Software engineering ability, effective use of AI, and ownership of production outcomes are core requirements Nice to Have: Experience modernizing established platforms through incremental migrations Container orchestration with ECS or Kubernetes Analytics databases such as ClickHouse or streaming services such as Amazon Kinesis High-volume, transaction-heavy systems Developer self-service platforms or progressive delivery Our benefits: Remote b2b (Georgia) or hybrid / remote (Belarus) work opportunity! 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 brand provides 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: Georgia On behalf of NDA, SaaS e-commerce , SD Solutions is looking for a talented Senior MLOps Engineer (Data & ML Platform) based in Georgia (Tbilisi) to join our growing team. You’ll own the data that Falcon’s offer-ranking model learns from: the raw sources, the pipelines, the training tables, and the monitoring around them. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. Responsibilities: What you’ll do: Own the ML data pipelines: build and run batch pipelines on Spark and Databricks, from raw data to feature and training tables, including enrichment and backfills for late-arriving data. Onboard new data sources: bring in internal databases, external APIs, partner feeds and web data, and match them to Falcon’s own entities. Use LLMs inside pipelines: add LLM steps to batch jobs, such as turning text into embeddings and structured attributes. Keep training and serving consistent: make sure features match between training and the live inference service, which includes reading its Java code. Monitor data and model inputs: run scheduled data quality checks and Grafana alerts that catch bad data before it reaches the model, and find the root cause when something breaks. Ship like an MLOps engineer: deploy pipelines through CI/CD (GitHub Actions, Docker, AWS) with proper secrets handling, and keep run time and cost under control. Work with AI agents: coding agents write most of Falcon’s code. You’ll decide where agents fit, then check their output on row counts, distributions and edge cases before anyone relies on it. Requirements: 5+ years in data engineering, MLOps or ML platform roles, with pipelines you’ve run in production Production Spark: complex transformations, window functions, large joins, partitioning, and tuning for shuffles and skew. Databricks (jobs, Delta tables) is a big plus. Production Snowflake: SQL, loading and unloading, and cost management Large data volumes: hundreds of millions of rows a month, with incremental loads and backfills that keep run time and cost under control Strong Python: clean, tested code; Spark UDFs including pandas UDFs; pandas and PyArrow Data quality and monitoring: quality checks, drift and anomaly detection, and alerts people can act on Deployment: GitHub Actions, Docker, AWS (S3, IAM) and proper secrets handling Backend engineering: comfortable working in a service codebase, not only in notebooks and SQL AI-first habits: you already use coding agents daily and look for what to automate Fluent English and based in Georgia Nice to have: MLflow and feature stores Airflow or Databricks Workflows Kafka or Spark Structured Streaming Terraform DBT Scala for Spark Reading Java Time-based splits and preventing data leakage in training sets Ad-tech or e-commerce data experience About the company: NDA helps eCommerce brands boost revenue with highly relevant and rewarding post-purchase offers. Our platform delivers personalized offers to customers right after checkout, driving repeat purchases and increasing lifetime value through seamless integrations and data-driven insights By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.

Location: Warsaw, Poland On behalf of WaterTech Client #1 , SD Solutions is looking for a talented Senior 3D Plant Designer / Plant 3D Lead. Experienced 3D Plant Designer to lead and support engineering design and 3D modelling activities for water and wastewater treatment plants, desalination facilities and industrial process installations. The role combines hands-on engineering design using AutoCAD Plant 3D with professional leadership, development of engineering standards, creation of 3D libraries and training of engineering team members. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. Responsibilities: 3D Modeling & Detailed Engineering Develop detailed 3D models of treatment plants, including Integration of mechanical equipment, tanks, vessels, pumps, filters, piping systems, valves, fittings and instrumentation. Translate P&IDs and engineering requirements into detailed piping, motors, instrumentation and valves layouts, and coordinated 3D models. Design piping routes, equipment arrangements, maintenance access, drainage and installation interfaces. Design piping supports, including support arrangements, details and load considerations, in coordination with structural engineers. Coordinate the 3D model with civil, structural, mechanical, electrical and instrumentation disciplines. Perform model reviews and clash detection. Engineering Drawings & Documentation Prepare General Arrangement (GA) drawings, layouts, plans and sections. Generate piping isometric drawings and construction details. Prepare detailed drawings of tanks, vessels, columns and skids, including openings and connections. Prepare piping support drawings and details. Generate and validate Bills of Materials (BOM) Ensure consistency between 3D models, P&IDs, specifications and engineering drawings. Engineering Standards & Infrastructure Establish, develop and maintain standardized 3D design procedures, engineering guidelines and drafting standards. Build and maintain a comprehensive 3D component library, including equipment, piping components, valves, fittings, instrumentation and piping supports. Develop and maintain AutoCAD Plant 3D catalogs, piping specifications (Pipe Specs), templates and component databases. Establish standardized project templates, drawing formats, naming conventions and model structures. Develop and maintain the digital design infrastructure, tools and workflows required for efficient and consistent engineering activities. Lead the implementation of standardized 3D design methodologies and best practices across engineering projects. Training & Professional Development Lead technical training and knowledge transfer for engineers and designers in AutoCAD Plant 3D and 3D design methodologies. Develop training materials, technical guidelines and internal working procedures. Provide ongoing technical support, guidance and mentoring to engineering team members. Requirements: Education Bachelor's degree (B.Sc. or equivalent) in Mechanical Engineering – advantage. A degree in Environmental /Chemical /Water and wastewater Engineering or a related engineering discipline will also be considered. Alternatively, a Mechanical Engineering diploma or equivalent technical qualification, combined with at least 7–10 years of proven experience in 3D plant design and piping engineering. Previous experience with other 3D design and plant modelling software is a significant advantage, particularly for candidates who have worked as design engineers or piping designers with independent engineering responsibilities, rather than solely as CAD drafters. Preference will be given to candidates with a strong practical engineering background in piping design, industrial process plants, and water and wastewater treatment facilities. Professional Experience Minimum 5 years of experience in 3D plant design and piping design. Proven experience in water and wastewater treatment plants, desalination facilities. Advanced proficiency in AutoCAD Plant 3D and AutoCAD. Excellent written and spoken English is mandatory , including the ability to conduct technical meetings, prepare engineering documentation and train engineers in English. Strong engineering mindset, problem-solving abilities, attention to detail and ability to work independently with international multidisciplinary teams. About the company: A water solutions company offering end-to-end desalination, water treatment, and wastewater treatment services — from design and engineering through construction, operations, and maintenance, including full BOT (Build-Operate-Transfer) projects. The company has delivered projects at varying scales globally, from mega-scale installations to prefabricated units, with a focus on sustainability, energy efficiency, and ESG-aligned outcomes. By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.

Задачи: — Проектирование части сервисов в backend-архитектуре облачной платформы; — Установление стандартов разработки; — Личное участие в разработке ключевых компонентов; — Работа на стыке архитектуры, разработки и продуктовых требований; — Оформление архитектурных артефактов прикладного дизайна компонентов; — Разработка и развитие GraphQL / REST API (high-load, multi-tenant); — Проектирование интеграций (auth, billing, внешние системы); — Обеспечение отказоустойчивости и масштабируемости; — Участие в разработке ключевых компонентов на Node.js / TypeScript / JavaScript / опционально Go; — Формирование стандартов разработки и применение лучших практик в команде; — Контроль выполнения требований технического дизайна в реализации кода компонентов; — Проведение code review (JS/TS, возможно Go); — Взаимодействие с командами Frontend, DevOps, аналитиками, Go-разработчиками и архитекторами решений; — Участие в декомпозиции задач и их техническом формировании. Требования: — Опыт работы на аналогичной должности от 3-х лет; — Опыт коммерческой backend разработки с основным стеком Node.js / TypeScript от 3-х лет; — Обязательный опыт frontend разработки React/JS/TS; — Отличное знание Node.js (Express / Fastify), TypeScript / JavaScript, GraphQL (design, schema, federation), Go; — Опыт работы с брокерами сообщений (NATS, RabbitMQ, Kafka); — Понимание и опыт реализации отказоустойчивости (retry, circuit breaker, idempotency), горизонтального масштабирования, безопасного кода. Будет плюсом: — Опыт разработки кросс-платформенных адаптивных интерфейсов приложений (electron, адаптив); — Опыт работы с Keycloak (OIDC, RBAC, multi-tenant auth); — Опыт проектирования control-plane систем; — Опыт fullstack разработки (frontend + backend); — Понимание основ CI/CD, контейнеризации, опыт с Docker, Linux. Условия: — Стабильный «белый» доход и полноценный социальный пакет; — Гибкое начало дня и гибридный формат работы (обсуждается индивидуально); — Корпоративный университет для внутреннего и внешнего профильного обучения; — Перспективы карьерного роста – горизонтального и вертикального; — Программа ДМС с обслуживанием в лучших клиниках города; — Корпоративные спортивные команды и скидки на фитнес-абонементы; — Программа корпоративных привилегий и скидок Primezone; — Корпоративная мобильная связь. Работа в компании РТК-ЦОД, которая является крупным ИТ сервис-провайдером с крупнейшей в России сетью дата-центров, предоставляющей виртуальную инфраструктуру банкам, ритейлу, промышленным предприятиям и госсектору. Компания реализует масштабные федеральные проекты и разрабатывает облачные решения и ИТ-сервисы.

Responsibilities: — Design, build and maintain backend services in Go with clean, idiomatic, and readable code — Design gRPC and REST APIs, maintain stable contracts, and version them when changes occur — Write efficient PostgreSQL queries, design schemas, and create safe, reversible migrations — Properly use goroutines, channels, and context to avoid leaks and ensure correct timeouts and cancellations — Handle errors explicitly, including retries and idempotency for repeatable calls — Write unit and integration tests covering business logic and failure cases — Implement structured logging, metrics, and health checks for problem diagnosis — Ensure service security by validating input, authenticating callers, and keeping secrets out of code and logs — Profile and optimize CPU, memory, and database load as needed — Write concise technical documentation for owned APIs and services — Review teammates' pull requests to maintain code consistency Requirements: — 1–3 years of commercial backend development experience in Go — Experience building or maintaining at least one production service in Go (REST or gRPC) — Proficiency with PostgreSQL including queries, indexes, and migrations — Experience using Docker and writing Dockerfiles — Basic Kubernetes knowledge is a plus — Experience integrating third-party APIs, preferably payments or webhooks — Familiarity with Git and pull requests in a team environment — Required skills include Go concurrency primitives (goroutines, channels, context), error handling, REST API design, gRPC and Protobuf knowledge, PostgreSQL SQL queries and migrations, Docker, Git, unit testing in Go, HTTP basics including JWT authentication, and Linux basics Nice to have: — Kubernetes basics (pods, deployments, logs via kubectl) — Experience with payment providers (Click, Payme, Uzum) or webhooks — Experience with message queues such as RabbitMQ, Kafka, or NATS — Redis — CI/CD with GitHub Actions — Monitoring tools like Prometheus or Grafana — Experience with Helm, ArgoCD, or other GitOps tools — Experience with HashiCorp Vault or other secrets managers — Experience with IoT or hardware integrations (barriers, cameras, ANPR) — Experience with payment providers and fiscal requirements — Networking experience including tunnels, VPNs (IPsec), and load balancers — Some knowledge of C#/.NET Soft Skills: — Takes responsibility for results beyond just completing tasks — Proactively asks for help when stuck — Communicates clearly about progress and blockers — Accepts code review feedback calmly — Learns new tools quickly — Pays attention to detail, especially in payment logic — Works well in a small team Candidate Assessment Process: 1. CV review including GitHub within 3 working days 2. Short call (20–30 minutes) discussing experience and role 3. Technical interview (60–120 minutes) covering Go basics, concurrency, PostgreSQL, REST/gRPC, and a live coding task 4. Final interview (30 minutes) with team lead discussing work style and offer Apply https://hh.uz/vacancy/139299572

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE Sentry helps over 4 million developers understand and resolve issues in their applications. Behind every error, performance trace, replay, and log is a large-scale data platform responsible for storing, querying, and analyzing massive volumes of telemetry data. We're looking for an Engineering Manager to lead our Events Analytics Platform (EAP) team, which builds and operates the distributed data systems powering Sentry's products. The team manages petabytes of data and develops high-performance analytical infrastructure using technologies like ClickHouse, enabling fast, complex queries across billions of records. As Sentry grows, so do the technical challenges. The team is evolving its storage and query infrastructure to support increasing data volumes, more complex analytical workloads, and unified access to different types of telemetry data. EAP also provides the data foundation for Seer, Sentry's AI-powered debugging agent, enabling AI systems to access the production context needed to investigate and resolve issues. In this role, you'll lead a team of engineers tackling complex distributed systems challenges while balancing architectural improvements with the reliability and performance of production systems. You'll bring strong technical judgment, guide engineering decisions, and work closely with product engineering teams to build capabilities that directly impact the developer experience. This is an opportunity to lead a critical part of Sentry's infrastructure, solve challenging problems at scale, and shape how developers and AI-powered tools interact with application data. WHAT YOU'LL DO - Lead and develop a team of engineers working on large-scale distributed data systems, fostering technical excellence, ownership, collaboration, and professional growth. - Drive technical execution and architectural decisions across EAP's storage and query infrastructure, balancing scalability, reliability, performance, and long-term maintainability. - Build and evolve analytical data systems supporting complex queries, high-throughput workloads, and efficient access to petabytes of event data. - Guide the evolution of EAP's architecture, including query optimization, storage and compute separation, and the unification of different event types into a common analytical platform. - Own the operational health of the platform, leading efforts to improve reliability, troubleshoot production issues, manage incidents, and address scaling challenges. - Partner with product engineering teams to understand their technical requirements, make informed tradeoffs, and deliver platform capabilities that support new product experiences. - Support Sentry's AI-powered capabilities by ensuring the platform efficiently serves the analytical workloads and production context required by Seer and other AI-driven experiences. - Set clear priorities and drive projects from design through production, helping the team execute effectively while managing competing technical and product needs. YOU'LL LOVE THIS JOB IF YOU - Enjoy leading engineers while staying closely involved in technical discussions, architecture, and complex problem-solving. - Get excited about building and operating large-scale distributed systems where performance, reliability, and efficiency matter. - Have a strong interest in analytical databases, storage engines, query systems, and the engineering challenges behind processing massive volumes of data. - Like working through difficult technical tradeoffs and turning ambiguous requirements into practical engineering solutions. - Take pride in building reliable production systems, understanding how they behave under load, and continuously improving their performance. - Enjoy collaborating with product engineering teams and understanding how infrastructure decisions influence the end-user experience. - Want to lead a team whose work directly supports Sentry's core products and growing AI-powered capabilities. QUALIFICATIONS - Significant professional software engineering experience, including experience managing and developing engineers, leading technical projects, and driving engineering execution. - Strong technical background in distributed systems, data infrastructure, analytical databases, or large-scale backend systems. - Hands-on experience building, scaling, or operating complex data-intensive systems, with depth in at least one of the following: - Analytical database infrastructure: Operating, scaling, optimizing, or maintaining OLAP systems such as ClickHouse, Apache Pinot, Apache Druid, or similar technologies in production. - Complex distributed data platforms: Designing and building sophisticated systems using analytical databases or distributed storage technologies as foundational components, with meaningful ownership of the underlying architecture, performance, and reliability. - Experience making architectural decisions and technical tradeoffs involving system scalability, performance, reliability, or operational complexity. - Demonstrated ownership of production systems, including troubleshooting, incident response, performance optimization, and operational improvements. - Experience leading engineering projects from technical design through implementation, deployment, and ongoing operations. - Strong communication and collaboration skills, including the ability to work with cross-functional stakeholders and translate technical requirements into actionable engineering priorities. Bonus points for: - Experience with ClickHouse, Pinot, Druid, or other column-oriented analytical databases. - Experience with query optimization, analytical storage architecture, or high-throughput data processing. - Experience building infrastructure for observability, telemetry, developer tools, or event-driven applications. - Experience working closely with product engineering teams to develop infrastructure supporting customer-facing features. - Proficiency with Python, Rust, or similar backend programming languages. Not sure if you meet 100% of the qualifications? We encourage you to apply anyway. We're interested in people who are excited about this opportunity and eager to grow. The base salary range that Sentry reasonably expects to pay for this position is $220,000 to $400,000 USD, plus an annual performance bonus of up to 15% of base salary. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: San Francisco; London; Remote; Belgrade; New York City Workplace: Hybrid ABOUT THE ROLE Perplexity's security team protects products used by millions of people and thousands of enterprises, including AI agents that browse the web, run code, and act in customer systems. The team is small, senior, and builds most of what it uses: our own detections, agents that triage and investigate alerts around the clock, continuous offensive testing, and secure-by-default platforms for the rest of engineering. We're also turning what we've built into cybersecurity products for customers, so the same team that defends Perplexity builds what we ship. We're looking for an Engineering Manager to lead and grow Security Engineering, including the engineers building our cybersecurity products. You'll own the team's execution and people, set the technical direction for how we defend our infrastructure, products, and corporate environment, and lead the product engineering work that brings those systems to customers. You'll stay close enough to the work to run an incident or review a design yourself. You'll report to Perplexity's head of security and work with engineering, infrastructure, IT, product, legal, and our co-founders. RESPONSIBILITIES - Lead, hire, and grow a team of security engineers across detection and response, cloud and infrastructure security, application and product security, offensive security, and identity and corporate security. - Lead the engineers building our cybersecurity products: set technical direction for agent-driven products across application security, offensive testing, cloud security, and detection and response, and own delivery to design partners and enterprise customers. - Keep the internal security program and the product tightly linked, so what the team runs on Perplexity every day becomes what we ship, and customer feedback improves how we defend ourselves. - Set the roadmap for Security Engineering, balancing incident load, risk reduction, and long-term platform investments, and make clear prioritization calls. - Own security incident response operations: on-call health, escalation, cross-team coordination during incidents, and postmortems that lead to real fixes. - Drive an AI-first security program. Push the team to automate investigation, response, and remediation with agents, and hold that automation to a high bar for accuracy and safety. - Partner with engineering and infrastructure leaders to get security work into their roadmaps, from threat models and design reviews to least-privilege access and secure-by-default libraries. - Represent Security Engineering in enterprise customer security reviews, external researcher and bug bounty engagements, and audits. - Build the team's operating rhythm: clear ownership, metrics that matter (time to detect, time to contain, open risk), and written standards others can follow. - Stay hands-on: review designs and code, run investigations when needed, and keep a working understanding of the systems the team defends. QUALIFICATIONS - 8+ years of engineering experience in security, with at least 3 years managing security or infrastructure engineering teams. - Deep hands-on background in at least two of: detection and response, cloud security (AWS preferred), application or product security, offensive security, or identity and access management. - Experience leading incident response for serious security incidents, including technical investigation, containment, and communication with executives and customers. - Strong management practice: clear feedback, effective 1:1s, career development, and a track record of hiring and retaining strong senior engineers. - Comfortable with modern infrastructure (Kubernetes, cloud-native services, CI/CD) and able to engage credibly with engineers on design and code. - Ability to make good tradeoffs under pressure and explain risk clearly to technical and non-technical audiences. - Experience shipping software products to external customers, ideally security products, including working with design partners and turning customer feedback into a roadmap. - Experience building security programs at a fast-growing company, where you built more than you bought. - Bonus: experience securing AI/ML systems, LLM applications, or autonomous agents, or using AI to scale security operations. - Bonus: experience supporting enterprise compliance programs (SOC 2, ISO 27001, FedRAMP) from the engineering side.

Location: San Francisco; London; Remote; Belgrade; New York City Workplace: Hybrid ABOUT THE ROLE Perplexity's security team protects products used by millions of people and thousands of enterprises, including AI agents that browse the web, run code, and act in customer systems. The team is small, senior, and builds most of what it uses: our own detections, agents that triage and investigate alerts around the clock, continuous offensive testing, and secure-by-default platforms for the rest of engineering. We're also turning what we've built into cybersecurity products for customers, so the same team that defends Perplexity builds what we ship. We're looking for an Engineering Manager to lead and grow Security Engineering, including the engineers building our cybersecurity products. You'll own the team's execution and people, set the technical direction for how we defend our infrastructure, products, and corporate environment, and lead the product engineering work that brings those systems to customers. You'll stay close enough to the work to run an incident or review a design yourself. You'll report to Perplexity's head of security and work with engineering, infrastructure, IT, product, legal, and our co-founders. RESPONSIBILITIES - Lead, hire, and grow a team of security engineers across detection and response, cloud and infrastructure security, application and product security, offensive security, and identity and corporate security. - Lead the engineers building our cybersecurity products: set technical direction for agent-driven products across application security, offensive testing, cloud security, and detection and response, and own delivery to design partners and enterprise customers. - Keep the internal security program and the product tightly linked, so what the team runs on Perplexity every day becomes what we ship, and customer feedback improves how we defend ourselves. - Set the roadmap for Security Engineering, balancing incident load, risk reduction, and long-term platform investments, and make clear prioritization calls. - Own security incident response operations: on-call health, escalation, cross-team coordination during incidents, and postmortems that lead to real fixes. - Drive an AI-first security program. Push the team to automate investigation, response, and remediation with agents, and hold that automation to a high bar for accuracy and safety. - Partner with engineering and infrastructure leaders to get security work into their roadmaps, from threat models and design reviews to least-privilege access and secure-by-default libraries. - Represent Security Engineering in enterprise customer security reviews, external researcher and bug bounty engagements, and audits. - Build the team's operating rhythm: clear ownership, metrics that matter (time to detect, time to contain, open risk), and written standards others can follow. - Stay hands-on: review designs and code, run investigations when needed, and keep a working understanding of the systems the team defends. QUALIFICATIONS - 8+ years of engineering experience in security, with at least 3 years managing security or infrastructure engineering teams. - Deep hands-on background in at least two of: detection and response, cloud security (AWS preferred), application or product security, offensive security, or identity and access management. - Experience leading incident response for serious security incidents, including technical investigation, containment, and communication with executives and customers. - Strong management practice: clear feedback, effective 1:1s, career development, and a track record of hiring and retaining strong senior engineers. - Comfortable with modern infrastructure (Kubernetes, cloud-native services, CI/CD) and able to engage credibly with engineers on design and code. - Ability to make good tradeoffs under pressure and explain risk clearly to technical and non-technical audiences. - Experience shipping software products to external customers, ideally security products, including working with design partners and turning customer feedback into a roadmap. - Experience building security programs at a fast-growing company, where you built more than you bought. - Bonus: experience securing AI/ML systems, LLM applications, or autonomous agents, or using AI to scale security operations. - Bonus: experience supporting enterprise compliance programs (SOC 2, ISO 27001, FedRAMP) from the engineering side.

Location: London; Belgrade; Ireland Keeping a crawler running is not the same as keeping it productive. Queues can grow while servers look healthy, and a small change can become a fleet-wide bottleneck. On Perplexity's Crawler team, you'll improve throughput, plan capacity, and build operational reliability through safer deployments, better observability, and durable fixes. Responsibilities - Operate and optimize Kubernetes workloads and supporting infrastructure for crawler services, including fetching and rendering fleets. - Build and maintain infrastructure as code and CI/CD pipelines, with safe rollouts, validation, and fast rollback. - Define SLOs and build monitoring, alerting, and observability for availability, latency, throughput, and resource saturation. - Own capacity planning and resource efficiency; diagnose queue backlogs, network failures, and resource bottlenecks with service owners. - Participate in the team's on-call rotation, lead incident response, and turn blameless postmortems into durable reliability improvements. - Write production software to automate diagnosis and routine remediation, with validation and approval gates for high-impact actions. Qualifications - 5+ years of experience in SRE, production engineering, or infrastructure-heavy backend roles, with strong programming skills in Python, C++, Rust, or Go. - Hands-on experience with cloud infrastructure, production Kubernetes, infrastructure as code such as Terraform, and automated deployment workflows. - Strong Linux and networking fundamentals, including TCP/IP, DNS, TLS, HTTP, and load balancing. - Experience building observability with tools such as Datadog, Prometheus, or Grafana, and using SLOs to guide reliability improvements. - Proven experience diagnosing distributed-system failures, leading production incidents, and improving system performance or resource efficiency. Nice to have - Experience operating web crawlers, search infrastructure, or browser fleets at scale. - Experience with distributed queues, backpressure, workload isolation, or multi-region recovery.

Location: London; Belgrade; Ireland Keeping a crawler running is not the same as keeping it productive. Queues can grow while servers look healthy, and a small change can become a fleet-wide bottleneck. On Perplexity's Crawler team, you'll improve throughput, plan capacity, and build operational reliability through safer deployments, better observability, and durable fixes. Responsibilities - Operate and optimize Kubernetes workloads and supporting infrastructure for crawler services, including fetching and rendering fleets. - Build and maintain infrastructure as code and CI/CD pipelines, with safe rollouts, validation, and fast rollback. - Define SLOs and build monitoring, alerting, and observability for availability, latency, throughput, and resource saturation. - Own capacity planning and resource efficiency; diagnose queue backlogs, network failures, and resource bottlenecks with service owners. - Participate in the team's on-call rotation, lead incident response, and turn blameless postmortems into durable reliability improvements. - Write production software to automate diagnosis and routine remediation, with validation and approval gates for high-impact actions. Qualifications - 5+ years of experience in SRE, production engineering, or infrastructure-heavy backend roles, with strong programming skills in Python, C++, Rust, or Go. - Hands-on experience with cloud infrastructure, production Kubernetes, infrastructure as code such as Terraform, and automated deployment workflows. - Strong Linux and networking fundamentals, including TCP/IP, DNS, TLS, HTTP, and load balancing. - Experience building observability with tools such as Datadog, Prometheus, or Grafana, and using SLOs to guide reliability improvements. - Proven experience diagnosing distributed-system failures, leading production incidents, and improving system performance or resource efficiency. Nice to have - Experience operating web crawlers, search infrastructure, or browser fleets at scale. - Experience with distributed queues, backpressure, workload isolation, or multi-region recovery.