Задачи:
— Проводить онлайн-занятия индивидуально и в мини-группах до 6 человек
— Работать с включённой камерой и качественным звуком
— Задавать и контролировать домашнюю работу
— После занятия вносить краткий отчёт в CRM
— Записывать занятия в соответствии с правилами школы
— Соблюдать расписание и заранее предупреждать об изменениях
— Участвовать в методической обратной связи
Требования:
— Профильное образование или обучение на старших курсах профильного вуза
— Знание актуальной структуры ОГЭ/ЕГЭ по предмету
— Уважительный, спокойный стиль общения
— Умение объяснять сложное понятным языком
— Ответственность, пунктуальность и цифровая грамотность
— Готовность работать по договору как самозанятый
Условия:
— Онлайн-формат
— Нагрузка формируется по мере набора учеников
— Оплата: 500 руб. за индивидуальное занятие (60 минут)
— Оплата: 1200 руб. за групповое занятие (60 минут)
— Расчётный период и дата выплаты: до 10 числа месяца, следующего за расчетным периодом
— Пробный/демонстрационный этап: бесплатный пробный урок 15 минут
УдалённоГеография найма не уточнена, офис: Новоалтайск
Location: Serbia; Latvia; Lithuania; Ljubljana; Moldova; Belarus; Georgia; Kyrgyzstan; Uzbekistan; Azerbaijan; Armenia; Czech Republic; Portugal; Spain; Dubai
Workplace: remote
About the Team
We are Quadcode, a fintech company excelling in financial brokerage activities and delivering advanced financial products to our global clientele. Our flagship product, an internal trading platform, is offered as a Software-as-a-Service (SaaS) solution to other brokers.
About the role
We're looking for a Linux Administrator to join our Infrastructure team, responsible for building, operating and continuously improving all of our infrastructure services — from core services to observability and private clouds.
Our infrastructure supports the stable operation of a large-scale trading platform and includes 2,000+ virtual machines and 300+ physical servers, running predominantly on Ubuntu. The stack ranges from core services like LDAP, PowerDNS and NTP, to an observability stack (Prometheus, Thanos, Loki, Grafana, Jaeger) and private clouds based on OpenStack and Kubernetes, as well as services such as GitLab, Artifactory and Vault.
You’ll work in a team of experienced infrastructure engineers, using Scrum and Agile practices, with two-week sprints and a strong focus on automation, reliability and continuous improvement.
The position is full-time remote, with a flexible start time — anytime before 12:00 pm EET/EEST.
Why this role?
You’ll be part of the team responsible for the production environment behind products used by millions of users, working directly with development teams, helping them troubleshoot infrastructure-related issues and keep their services running reliably in production.
It’s a good fit for an engineer who enjoys troubleshooting, automation and making infrastructure more reliable and scalable, rather than simply maintaining servers.
Tasks
Oversee various services and associated infrastructure components, including DNS, Gitlab, Artifactory, Vault, Loki, Prometheus etc;
Perform day-to-day operational tasks such as upgrades, CVE patching, backup and restore, security scans, and monitoring;
Manage and support private clouds (Openstack and Kubernetes);
Design, configure, maintain and troubleshoot Linux systems across different environments, including bare metal, virtual machines and containers.
Resolve incidents, provide support coverage, categorize issues, conduct post-mortems, and perform root cause analysis;
Ensure environments are stable and adhere to availability SLAs;
Work towards reducing operational effort;
Automate repetitive operational tasks and continuously reduce manual effort;
Collaborate with development teams to troubleshoot infrastructure-related issues in production;
Keep infrastructure documentation and operational procedures up to date;
Engage in constant upskilling to stay updated with industry best practices.
Requirements
3+ years of professional experience as a Linux System Administrator, DevOps Engineer, or Site Reliability Engineer, with a focus on infrastructure.
Extensive experience in designing, building, configuring, and troubleshooting Linux servers across various environments (bare metal, container, cloud);
Experience with Linux server configuration, maintenance and troubleshooting in production.
Understanding of process control, logging and Linux service management.
Experience with infrastructure services such as Vault, Artifactory, DNS and similar platform components.
Proficiency with automation tools such as Chef, Ansible, or Salt;
Experience with Docker, Kubernetes and containerized environments;
Experience with monitoring and log aggregation tools like Grafana, ELK, or Graylog;
Experience in deploying and maintaining systems on cloud solutions such as OpenStack, VMware, Proxmox, or public cloud platforms such as AWS, GCP, Azure.
Skilled in scripting languages such as Bash and Python;
Familiarity with configuring various servers and databases, including Apache Tomcat, Nginx, MySQL DB, PostgreSQL, Kafka, RabbitMQ, etc;
Experience with DevOps tools and CI/CD workflows.
At least C1 in Russian and B1 in English.
Nice to have
Hands-on experience with Kubernetes, including troubleshooting workloads and cluster-related issues.
Hands-on experience with OpenStack, including deployment, configuration, maintenance or troubleshooting of private cloud environments.
Hands-on experience with Chef.
Experience with GitLab CI/CD, Jenkins or GitHub Actions.
Experience working with fintech/trading, or other high-load and mission-critical systems.
We offer
Full-time remote work (service provider contract).
Competitive compensation (EUR).
Flexible working hours.
Corporate AI subscriptions (Claude, Gemini, GPT, etc.).
Access to a rewards marketplace offering products and language courses, redeemable using the company’s internal currency.
A strong team of engineers.
Positive and friendly atmosphere.
With a team of 500+ creative and tech-driven people across the globe, Quadcode is the place where ideas turn into impact, where every project is a chance to grow, innovate, and make your mark.
Join us today, and let's shape the future of fintech together!
Note: All applications will be treated with strict confidence. We thank all applicants for their interest, however, only those candidates selected for interviews will be contacted.
#LI-JM1
Location: Hyderabad, Telangana, India
About Turing
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at
www.turing.com
.
Role:
Forward-Deployed AI Engineer — Enterprise AI
Location:
Hyderabad, India
Experience Level:
8+ years
Work Model:
Hybrid, 3 days per week in office
Employment Type:
Full Time
Why Join Enterprise AI?
Enterprise AI is a distinct business unit within Turing, operating with the speed, focus, and ownership of a rapidly scaling startup. When it comes to applied AI in the workplace, you’ll define the frontier by building beyond it.
You’ll join the initial team of Forward-Deployed Engineers, shaping how we work while solving enterprise-grade problems for the world’s leading enterprises. As a Forward-Deployed AI Engineer, you’ll own outcomes end to end—from identifying high-value customer problems and shaping architecture to building production systems and working directly with senior client leaders.
You’ll develop generative AI solutions in the real world, driving measurable impact and return on investment within large institutions. Enterprise AI is intense, intellectually challenging work. It won’t be for everyone, but it may be
exactly the challenge you’re looking for.
As a Forward-Deployed Engineer, You Will
Find the Problem Worth Solving
Work directly with customers to navigate ambiguity, uncover high-value opportunities, challenge assumptions, and translate complex business needs into clear technical direction. This requires curiosity and business acumen as you discover business workflows and jointly define the outcomes an AI solution should drive.
Build Beyond the Frontier
Architect and build production AI systems, from multi-agent workflows, orchestration, tool use, context engineering, memory and state, and retrieval-augmented generation (RAG) to the APIs, data pipelines, integrations, and distributed systems that make them reliable at scale.
Own the Outcome
You won’t simply be given a list of responsibilities—you’ll have the authority to own the outcome for your client and make a real-world impact through your work. You’ll lead solutions from discovery through deployment and measurable impact while staying hands-on and owning evaluation, observability, security, reliability, latency, scalability, and cost.
The Anti-Sell
High ownership and intensity:
This role requires exceptional ownership and accountability. You’ll work with clients who have uncompromising expectations for quality, making this a demanding environment—and an ideal proving ground for people who seek difficult, high-impact challenges.
Client-first and hybrid:
This role is based in Bengaluru or Hyderabad and requires working from the office three days per week. Candidates must currently be based in one of these two cities. Relocation assistance is not available.
You’ll help write the playbook:
Enterprise AI operates like a startup. You may not always have an established process or playbook because you’ll be expected to apply your expertise, judgment, and technical depth to create one.
Our Forward-Deployed Engineers Typically Have
Deep production engineering experience:
Typically 8+ years building and operating sophisticated software systems, with expertise in Python, backend systems, APIs, databases, distributed systems, system design, and cloud infrastructure.
Hands-on agentic AI experience:
Experience building production LLM and agent systems using orchestration, tool use, context engineering, memory and state, retrieval, and multistep workflows.
Strong retrieval depth:
Experience building and improving production retrieval systems, with a practical understanding of embeddings, vector and hybrid search, reranking, evaluation, and diagnosing retrieval quality.
End-to-end systems ownership:
A track record of taking complex systems from architecture through deployment and scale, with a practical understanding of evaluation, observability, reliability, security, guardrails, latency, scalability, and cost.
Exceptional customer and technical leadership:
The ability to enter unfamiliar environments, earn trust quickly, navigate ambiguity, challenge assumptions constructively, and communicate effectively with senior engineers and business executives.
Client-ready communication:
The ability to explain technical concepts clearly, navigate ambiguity, work with stakeholders, and remain calm under pressure.
Values
We are client first:
We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed:
We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward:
We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
Work at the frontier of AI
, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research
and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise
, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues
with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation
, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review
Turing's GDPR notice here
.
Location: Bengaluru, Karnataka, India
About Turing
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at
www.turing.com
.
Role:
Forward-Deployed AI Engineer — Enterprise AI
Location:
Bengaluru, India
Experience Level:
8+ years
Work Model:
Hybrid, 3 days per week in office
Why Join Enterprise AI?
Enterprise AI is a distinct business unit within Turing, operating with the speed, focus, and ownership of a rapidly scaling startup. When it comes to applied AI in the workplace, you’ll define the frontier by building beyond it.
You’ll join the initial team of Forward-Deployed Engineers, shaping how we work while solving enterprise-grade problems for the world’s leading enterprises. As a Forward-Deployed AI Engineer, you’ll own outcomes end to end—from identifying high-value customer problems and shaping architecture to building production systems and working directly with senior client leaders.
You’ll develop generative AI solutions in the real world, driving measurable impact and return on investment within large institutions. Enterprise AI is intense, intellectually challenging work. It won’t be for everyone, but it may be
exactly the challenge you’re looking for.
As a Forward-Deployed Engineer, You Will
Find the Problem Worth Solving
Work directly with customers to navigate ambiguity, uncover high-value opportunities, challenge assumptions, and translate complex business needs into clear technical direction. This requires curiosity and business acumen as you discover business workflows and jointly define the outcomes an AI solution should drive.
Build Beyond the Frontier
Architect and build production AI systems, from multi-agent workflows, orchestration, tool use, context engineering, memory and state, and retrieval-augmented generation (RAG) to the APIs, data pipelines, integrations, and distributed systems that make them reliable at scale.
Own the Outcome
You won’t simply be given a list of responsibilities—you’ll have the authority to own the outcome for your client and make a real-world impact through your work. You’ll lead solutions from discovery through deployment and measurable impact while staying hands-on and owning evaluation, observability, security, reliability, latency, scalability, and cost.
The Anti-Sell
High ownership and intensity:
This role requires exceptional ownership and accountability. You’ll work with clients who have uncompromising expectations for quality, making this a demanding environment—and an ideal proving ground for people who seek difficult, high-impact challenges.
Client-first and hybrid:
This role is based in Bengaluru or Hyderabad and requires working from the office three days per week. Candidates must currently be based in one of these two cities. Relocation assistance is not available.
You’ll help write the playbook:
Enterprise AI operates like a startup. You may not always have an established process or playbook because you’ll be expected to apply your expertise, judgment, and technical depth to create one.
Our Forward-Deployed Engineers Typically Have
Deep production engineering experience:
Typically 8+ years building and operating sophisticated software systems, with expertise in Python, backend systems, APIs, databases, distributed systems, system design, and cloud infrastructure.
Hands-on agentic AI experience:
Experience building production LLM and agent systems using orchestration, tool use, context engineering, memory and state, retrieval, and multistep workflows.
Strong retrieval depth:
Experience building and improving production retrieval systems, with a practical understanding of embeddings, vector and hybrid search, reranking, evaluation, and diagnosing retrieval quality.
End-to-end systems ownership:
A track record of taking complex systems from architecture through deployment and scale, with a practical understanding of evaluation, observability, reliability, security, guardrails, latency, scalability, and cost.
Exceptional customer and technical leadership:
The ability to enter unfamiliar environments, earn trust quickly, navigate ambiguity, challenge assumptions constructively, and communicate effectively with senior engineers and business executives.
Client-ready communication:
The ability to explain technical concepts clearly, navigate ambiguity, work with stakeholders, and remain calm under pressure.
Values
We are client first:
We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed:
We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward:
We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
Work at the frontier of AI
, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research
and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise
, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues
with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation
, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review
Turing's GDPR notice here
.
О компании:
Сгоряча — собственные кухни ВкусВилл, где готовят свежие и горячие блюда в доставку. Дарккитчен расположены на дарксторах компании, готовят более 200 блюд и напитков. Работают более 200 дарккитчен в 35 городах России. Кафе ВкусВилл — дополнительный ассортимент и сервис в магазинах, включая авторские напитки, завтраки, обеды, сэндвичи на гриле, десерты и пекарни. Более 500 кафе доступны в Москве и других городах России.
Почему роль появилась:
Офлайн-формат растёт, запускаются пилоты кафе в новых локациях. Необходим человек, который соберёт позиционирование, УТП и тон бренда в единую систему и сопроводит запуск пилотов от концепции до передачи в операции.
Метрики роли:
— Единая бренд-платформа офлайн-формата: позиционирование, УТП, тон и голос бренда, дизайн-концепция;
— Инсайты и сегментация целевой аудитории кафе;
— Бренд-метрики: знание бренда, восприятие формата в целевом сегменте;
— ТЗ на креатив и дизайн, которые не переделываются по 3 раза.
Косвенно влияет на:
— Доля повторных покупок готовой еды;
— Конверсия трафика магазина в покупку продуктов кафе;
— Успешность запусков новинок (сколько SKU остаются через заданный период);
— Средний чек направления.
Требования:
— Умение исследовать и развивать бренд;
— Организация и проведение потребительских исследований: CustDev, сегментация, замеры бренд-метрик, дегустации, тесты новых продуктов;
— Анализ поведения потребителей и превращение данных в рекомендации для маркетинга, коммерции и продукта;
— Участие в разработке бренд-платформ, позиционирования, УТП и концепций новых продуктов;
— Умение переводить стратегию в ТЗ для креатива и операций;
— Системное мышление и умение видеть закономерности в данных;
— Опыт работы на стыке маркетинга и продаж;
— Коммуникация с командами мобильного приложения и сайта ВкусВилл для выявления функционала, который выдержит проверку данными и станет гипотезой для роста;
— Работа с партнёрами и маркетплейсами: интеграция, продвижение, коллаборации;
— Умение строить бренд-платформу с нуля;
— Опыт вывода нового формата или суббренда на рынок, а не только поддержка существующего;
— Владение исследовательской базой (CustDev, сегментация, замеры бренд-метрик) как рабочим инструментом;
— Умение переводить стратегию в понятные ТЗ, чтобы креатив и операции не переделывали задачи по несколько раз;
— Способность из большого объёма данных собрать сжатое решение и защитить его перед коммерцией;
— Опыт в бренд-стратегии от 5 лет в фуд-ритейле, HoReCa или FMCG.
Задачи:
1. Бренд-платформа и позиционирование:
— Собирать и поддерживать единую концепцию офлайн-формата и связывать её с «Сгоряча»: УТП, тон и голос бренда, дизайн;
— Разрабатывать позиционирование и УТП под запуск пилотов кафе;
— Подготавливать бренд-платформу и передавать её в креатив, дизайн и операции.
2. Исследования и инсайты:
— Проводить исследования покупателей и рынка, собирать тренды, участвовать в разработке стратегии развития проектов и поиске точек роста;
— Организовывать CustDev, сегментацию, замеры бренд-метрик, дегустации и тесты новых продуктов;
— Готовить инсайты и аргументы для креативных, медийных и продуктовых команд.
3. Запуск пилота и развитие формата:
— Сопровождать запуск пилотов от концепции до передачи в операции;
— Анализировать эффективность маркетинговых активностей, запусков новинок и промо;
— Участвовать в подготовке маркетинговых стратегий и годовых планов развития бренда.
4. Работа со смежными командами:
— Коммуникация с командами мобильного приложения и сайта ВкусВилл;
— Работа с партнёрами и маркетплейсами: интеграция, продвижение, коллаборации;
— Защита решений перед коммерцией и внутренними командами.
Условия:
— Официальное оформление согласно ТК РФ;
— Программа «Здоровый сотрудник»: частичная компенсация медицинских услуг, ДМС и абонемента в фитнес-клуб;
— Возможность обучения по разным направлениям (тренинги, книжные клубы, открытые семинары), спортивные сообщества (йога, бег, волейбол, футбол и др.), корпоративные психологи;
— Кешбэк 15% бонусами на покупки во ВкусВилле;
— Привилегии от партнёров;
— Гибридный формат работы (удалённо / офис);
— Работа в Москве, Строгино, улица Кулакова, 20к1.
Location: Singapore
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role: Network
Engineering Manager APAC / Network Team Lead APAC
We are looking for a
Staff Network Engineer / Player-Coach Team Lead
to lead the growth, deployment, and operational execution of our
APAC Network Infrastructure emerging team
. In this role, you will combine direct people leadership with high-end technical expertise. You will lead a growing regional team of
2–5 jun/mid-to-senior network engineers
, driving their professional development, cross-project prioritization across our
Global Network
, and overall execution aligned with global business objectives, with a priority on the
APAC Region
and backbone network development across EU and the US for APAC.
As a hands-on technical manager, you will remain deeply embedded in engineering execution, dedicating approximately
50–70% of your time to hands-on engineering
during your first year, with the role evolving naturally alongside organizational scale and regional team expansion.
Crucially, this position demands a high degree of
operational autonomy
. Due to the timezone differences, you will serve as the primary regional networking authority, bridging global network architecture defined with our EU/EMEA/the US engineering headquarters and regional execution across APAC colocation sites, cable landings, and data centers.
This position is remote within the APAC region (with preferred hubs in India, Singapore), with regular visits to regional DC facilities and our European headquarters in Amsterdam.
Your responsibilities will include:
Team Leadership & People Management
Deploy APAC network part and BackBone. Lead, mentor, and structurally develop a regional engineering team of 2–5 jun/mid-to-senior network engineers across the APAC.
Own regional task planning, backlog prioritization, change review governance, and end-to-end execution within the team.
Drive and owning the Launch and Deploy process of New DataCentre and Customer in it
Drive technical coaching, and personalized career roadmaps for team members.
Foster a disciplined culture of radical ownership, engineering excellence, comprehensive runbook documentation, and Git-driven automation.
Act as the regional net escalation point for production network incidents
Global Follow-the-Sun Alignment:
Co-own operational hand-off workflows and shared incident coverage with
EMEA (HQ in Amsterdam)
and the
US
network teams to guarantee seamless, round-the-clock global production network stability and customer workability.
Cross-Functional Alignment & Strategic Autonomy
Serve as the primary regional network owner for the next teams in APAC: datacenter operations team, site expansion teams.
EU/EMEA Coordination:
Actively partner with the Global Network Architecture and R&D to adapt core architectural standards (Clos fabrics, SRv6, backbone routing policies) to APAC market realities and carrier ecosystems.
Autonomously drive regional connectivity delivery: partner closely with Technical Program Managers (TPMs) on submarine cable systems, cross-border DCI circuits, local Internet Exchanges (IXs), and regional transit providers.
Coordinate with HWaaS, Compute, and Cloud Platform engineering teams to guarantee timely site bring-up, Day-0 Out-of-Band (OOB) readiness, and high-throughput fabric availability for production workloads.
Bridge the gap between global strategic roadmaps and autonomous local incident resolution, ensuring APAC operations execute reliably during EMEA off-hours.
Technical Leadership & Hands-on Work (50–60%)
Full Regional Network Ownership:
Own and guarantee overall network infrastructure readiness, capacity, and availability across emerging APAC network infrastructure, ensuring alignment with HQ blueprints and processes
Actively contribute to the design, deployment, and operation of massive data center fabrics and backbone infrastructure.
Support and participate in the evolution high-performance Ethernet-based GPU cluster interconnects.
Participate in complex, high-severity troubleshooting and root-cause analysis (RCA) for critical infrastructure incidents.
Oversee and contribute to network automation pipelines, tooling, and telemetry/observability development.
We expect you to have:
Expert-Level Technical Background:
Service Provider or/and Data Center Clos networks.
BGP, IS-IS, Segment Routing (SR-MPLS / SRv6), and advanced traffic balancing
Ethernet switching, EVPN-VXLAN architectures, and L3 VPNs.
Leadership Experience: Proven track record as a Tech Lead, Lead/Staff Engineer, or People Manager leading mid-to-senior engineering teams.
Vendor Ecosystem: Juniper, Arista, Cisco, NVIDIA
It will be an added bonus if you have:
Hands-on experience with GPU cluster, RoCEv2/ECN or InfiniBand networks
Solid understanding of Public Cloud networking models and Software-Defined Networking (SDN) overlays.
Proficiency in Python or Go for infrastructure automation and production tooling within Linux environments.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Zurich, Switzerland
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
As a Senior Machine Learning Engineer on the Applied AI team at Nebius Token Factory, you will own model and endpoint optimization from model artifacts through production deployment. Your work will span model internals, quantization and model compression, speculative decoding, KV-cache optimization, inference engines, serving architecture, and benchmarking to improve latency, throughput, memory efficiency, GPU utilization, and cost per token while preserving quality and reliability.
You will work with kernel and platform engineers to investigate serving problems, compare configurations, and resolve performance and quality regressions. You will evaluate model- and engine-level optimizations together with distributed inference designs, including request routing, scheduling, prefill/decode coordination, and multi-node GPU execution. Your improvements will be validated through reproducible benchmarks and safe production rollouts under real-world workloads.
Your responsibilities
Own optimization projects for specific model families, customer endpoints, or serving backends.
Compare inference engines and recommend serving configurations suited to individual workloads.
Diagnose model-quality and performance regressions during production rollouts.
Improve LLM and VLM endpoint latency, throughput, memory efficiency, GPU utilization, quality, and cost per token.
Deploy, configure, benchmark, and extend engines such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, and NVIDIA Dynamo.
Develop production model-compression workflows covering quantization, quantization-aware training, distillation, low-bit serving, and accuracy recovery.
Implement or integrate speculative decoding, draft-model approaches, KV-cache optimization, prefix caching, chunked prefill, continuous batching, and disaggregated prefill/decode serving. For prefill–decode disaggregation (PDD), evaluate KV-cache transfer, worker placement, and capacity balancing to determine which workloads benefit from the architecture.
Design and improve LLM request routers and scheduling policies that balance worker utilization, queueing, request characteristics, and KV-cache locality while meeting latency and reliability targets.
Scale dense and mixture-of-experts inference across multiple GPU nodes. Select and tune tensor, pipeline, data, and expert parallelism—including wide expert parallelism (WideEP)—with attention to hardware topology, expert load balance, and communication overhead.
Build reproducible benchmark harnesses measuring TTFT, TPOT, tokens per second per GPU, p95/p99 latency, GPU memory, reliability, and cost per token. Validate architecture choices under representative traffic and consistent GPU budgets.
Collaborate with GPU kernel and platform engineers to trace bottlenecks across model code, kernels, runtime, scheduler, gateway, and cluster layers.
Produce design documents, performance reports, rollout plans, and customer-facing technical explanations.
Must-haves
Strong engineering skills in Python and PyTorch.
Hands-on experience deploying or optimizing LLM, VLM, or high-throughput transformer inference.
Practical knowledge of at least one modern inference stack, such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, Ray Serve, KServe, or an equivalent internal system.
A strong understanding of transformer inference bottlenecks involving KV cache, attention, memory bandwidth, batching, parallelism, and long-context serving.
Ability to quantify trade-offs among latency, throughput, quality, utilization, and cost.
Experience designing or optimizing distributed inference system architecture, with hands-on work in one or more areas such as request routing, distributed scheduling, PDD, multi-node inference, or expert parallelism.
Strong communication and collaboration skills across research, kernel, infrastructure, product, and customer teams.
Nice-to-haves
Experience with quantization-aware training, post-training quantization, FP8, INT8, INT4, NVFP4, MXFP4, AWQ, GPTQ, or SmoothQuant.
Experience with distillation, speculative decoding, EAGLE, Medusa, multi-token prediction, or related inference acceleration methods.
Experience supporting agentic workloads involving tool calling, structured outputs, streaming APIs, high concurrency, and multi-step orchestration.
Familiarity with CUDA or Triton; the role does not require kernel engineering to be the candidate’s primary specialization.
Contributions to open-source projects such as vLLM, SGLang, TensorRT-LLM, FlashInfer, LMCache, PyTorch, Triton, Ray, or KServe.
Implementation experience with cache-aware request routing, PDD, or WideEP, including diagnosing communication bottlenecks and load imbalance.
Familiarity with GPU communication libraries and interconnects, such as NCCL, NVLink, InfiniBand, or RoCE.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Amsterdam, Netherlands; Berlin, Germany; Israel; Remote - Europe
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
As a Senior Machine Learning Engineer on the Applied AI team at Nebius Token Factory, you will own model and endpoint optimization from model artifacts through production deployment. Your work will span model internals, quantization and model compression, speculative decoding, KV-cache optimization, inference engines, serving architecture, and benchmarking to improve latency, throughput, memory efficiency, GPU utilization, and cost per token while preserving quality and reliability.
You will work with kernel and platform engineers to investigate serving problems, compare configurations, and resolve performance and quality regressions. You will evaluate model- and engine-level optimizations together with distributed inference designs, including request routing, scheduling, prefill/decode coordination, and multi-node GPU execution. Your improvements will be validated through reproducible benchmarks and safe production rollouts under real-world workloads.
Your responsibilities
Own optimization projects for specific model families, customer endpoints, or serving backends.
Compare inference engines and recommend serving configurations suited to individual workloads.
Diagnose model-quality and performance regressions during production rollouts.
Improve LLM and VLM endpoint latency, throughput, memory efficiency, GPU utilization, quality, and cost per token.
Deploy, configure, benchmark, and extend engines such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, and NVIDIA Dynamo.
Develop production model-compression workflows covering quantization, quantization-aware training, distillation, low-bit serving, and accuracy recovery.
Implement or integrate speculative decoding, draft-model approaches, KV-cache optimization, prefix caching, chunked prefill, continuous batching, and disaggregated prefill/decode serving. For prefill–decode disaggregation (PDD), evaluate KV-cache transfer, worker placement, and capacity balancing to determine which workloads benefit from the architecture.
Design and improve LLM request routers and scheduling policies that balance worker utilization, queueing, request characteristics, and KV-cache locality while meeting latency and reliability targets.
Scale dense and mixture-of-experts inference across multiple GPU nodes. Select and tune tensor, pipeline, data, and expert parallelism—including wide expert parallelism (WideEP)—with attention to hardware topology, expert load balance, and communication overhead.
Build reproducible benchmark harnesses measuring TTFT, TPOT, tokens per second per GPU, p95/p99 latency, GPU memory, reliability, and cost per token. Validate architecture choices under representative traffic and consistent GPU budgets.
Collaborate with GPU kernel and platform engineers to trace bottlenecks across model code, kernels, runtime, scheduler, gateway, and cluster layers.
Produce design documents, performance reports, rollout plans, and customer-facing technical explanations.
Must-haves
Strong engineering skills in Python and PyTorch.
Hands-on experience deploying or optimizing LLM, VLM, or high-throughput transformer inference.
Practical knowledge of at least one modern inference stack, such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, Ray Serve, KServe, or an equivalent internal system.
A strong understanding of transformer inference bottlenecks involving KV cache, attention, memory bandwidth, batching, parallelism, and long-context serving.
Ability to quantify trade-offs among latency, throughput, quality, utilization, and cost.
Experience designing or optimizing distributed inference system architecture, with hands-on work in one or more areas such as request routing, distributed scheduling, PDD, multi-node inference, or expert parallelism.
Strong communication and collaboration skills across research, kernel, infrastructure, product, and customer teams.
Nice-to-haves
Experience with quantization-aware training, post-training quantization, FP8, INT8, INT4, NVFP4, MXFP4, AWQ, GPTQ, or SmoothQuant.
Experience with distillation, speculative decoding, EAGLE, Medusa, multi-token prediction, or related inference acceleration methods.
Experience supporting agentic workloads involving tool calling, structured outputs, streaming APIs, high concurrency, and multi-step orchestration.
Familiarity with CUDA or Triton; the role does not require kernel engineering to be the candidate’s primary specialization.
Contributions to open-source projects such as vLLM, SGLang, TensorRT-LLM, FlashInfer, LMCache, PyTorch, Triton, Ray, or KServe.
Implementation experience with cache-aware request routing, PDD, or WideEP, including diagnosing communication bottlenecks and load imbalance.
Familiarity with GPU communication libraries and interconnects, such as NCCL, NVLink, InfiniBand, or RoCE.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Job Location: Sydney, Australia
Role Overview
The
Principal
Partner Engineer (PE)
is a high-impact, strategic technical sales leader responsible for end-to-end technical lifecycle and enablement of the assigned partners, managing both pre-sales and post-sales engineering activities. In this role, you will act as the single technical point of contact as the trusted advisory for your assigned partners, driving technical validation during the sales cycle, architecting their delivery readiness and ensuring ongoing Partner Success.
The role focuses heavily on driving
value-based solution selling
to accelerate the adoption of Cloudflare platform with focus on Cloudflare One (SASE/SSE) and AI Infrastructure (Workers AI / AI Gateway). By cultivating deeply technical champions within the partner organization, aligning architectures to tangible business outcomes, optimizing post-sales delivery and building joint managed services offering, you will directly expand and influence the pipeline to maximize Partner-Influenced Opportunity (PIO) revenue.
Key Responsibilities
1. Pre-Sales Engineering & Champion Building
Technical Alignment, Discovery & Enablement:
Own the technical relationship with Partners to align on building joint Go-To-Market (GTM) strategies. Align, build, and accelerate partner technical capabilities, enabling them to lead deep technical discovery and architectural design to independently sell scalable solutions leveraging the Cloudflare Platform with a strong focus on AI and Cloudflare One (CF1).
Technical Account Plan Ownership: Own and drive the end-to-end Technical Account Plan (TAP) for assigned strategic partners. Act as the primary architect mapping partner business goals to technical execution milestones, ensuring continuous alignment on CF1 and AI adoption targets.
Building Technical Champions: Identify, enable, and cultivate key technical advocates and "Champions" within the partner organization to scale Cloudflare expertise independently, generate Partner-Influenced Opportunities (PIO), and empower them to deliver high-value professional services around Zero Trust and AI application security.
Driving PIO via Next-Gen Architectures: Collaborate with sales teams to proactively source, qualify, and expand PIO through strategic architectural alignment, focusing on migrating legacy network architectures to CF1 and integrating secure AI solutions.
Deal Support & Qualification: Enable partners' technical validation, proof-of-concept (PoC), demo, pipeline generation, and pipeline acceleration capabilities. Identify joint pursuit accounts, facilitate strategic technical account planning, and deliver cutting-edge solution architecture sessions for Named Partners
2. Accelerate Services Delivery
ASD Partner Journey Ownership:
Own the ASD partner journey to ensure partners possess the advanced capabilities required to deploy, manage, and support the Cloudflare platform and AI application workloads seamlessly.
Joint Services Offering Acceleration with strong focus on CF1 and A1
: Build and co-develop joint services catalogues with key partners, accelerating the creation and launch of their own Cloudflare-focused services offerings, managed CF1 SASE practices, and AI security assessments.
Service Monetization & Performance Metrics:
Enable partners to embed CF1 and Workers AI capabilities into their own managed security portfolios to shorten time-to-market, protect client AI pipelines, and maximize profitability. Develop, manage, and track key performance indicators (KPIs) to measure and improve the effectiveness of these partner service deliveries
Technical Account Management & Architectural Health:
Act as the escalated technical point of contact to ensure long-term architectural health, utilizing telemetry and proactive design to move the partner relationship from reactive to strategics for Cloudflare.
3. Automation AI Agents & Continuous Innovation
Leverage Autonomous AI Tools: Champion the use of Cloudflare OS and AI tools (Agent PAT and Agent Echo) to automate standard, repeatable technical tasks, optimizing operational efficiency and freeing up bandwidth for high-touch, strategic partner engagements.
AI & CF1 Product Enhancement Feedback Loop: Engage partner champions in the Partner Technical Advisory Council (PTAC) to give them early access to beta software, capture raw product feedback, and drive joint co-innovation on CF1 features and emerging AI products.
Cross-Functional Enablement: Participate in continuous cross-training programs to maintain peak proficiency in both pre-sales scoping and post-sales service deployment across the entire Cloudflare One and AI ecosystem.
Required Qualifications & Experience
13+ years of technical, partner-facing experience (e.g., Systems Engineer, Solutions Architect, or Technical Account Manager) in cybersecurity, cloud infrastructure, or networking.
Strong technical depth in Cloudflare One (CF1) or equivalent SASE/SSE architectures, Zero Trust, DNS, and application security, alongside hands-on familiarity with AI deployment, AI Gateway, LLM orchestration frameworks, or vector databases.
Proven track record of developing technical talent or building "champion" programs within partner organizations, specifically driving adoption of complex cloud networks and AI technologies.
Enterprise Architecture & Project Management: Deep understanding of enterprise IT, multi-cloud, and hybrid cloud environment while managing complex projects with multiple stakeholders
Demonstrated ability to manage the technical lifecycle of a deal from initial pre-sales discovery and CF1/AI PIO generation through post-sale service delivery.
Strong communication skills with a track record of presenting complex CF1 architectures and AI-driven use cases to partner leadership and technical teams alike.
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Задачи:
— Проектирование целевой и переходной архитектуры стрима Ипотеки
— Участие в развитии, масштабировании и сопровождении текущих решений с ориентацией на надёжность, расширяемость и соответствие бизнес-целям
— Взаимодействие с командами разработки, архитекторами других доменов и заинтересованными сторонами
— Актуализация архитектурной документации, проведение технических оценок и архитектурных демо и митапов
Требования:
— Не менее 5-ти лет опыта в роли Solution / Software / System Architect либо Tech Lead с архитектурной ответственностью
— Опыт проектирования высоконагруженных и отказоустойчивых систем: желательно с пользовательской базой от 1 млн клиентов, нагрузкой от 500+ RPS, и SLA по доступности 99.9%+
— Глубокое понимание микросервисной архитектуры и (желательно) микрофронтов, принципов модульности, API-ориентированной интеграции, стратегий масштабирования и изоляции доменов
— Знание нотаций BPMN и ArchiMate для документирования процессов и архитектурных решений
— Опыт участия в архитектурных ревью, архитектурного надзора, ведения технологического долга
— Опыт работы с актуальным технологическим стеком
Будет плюсом:
— Навыки разработки прототипов и PoC-решений, проведения R&D — умение быстро собирать прототипы для проверки архитектурных гипотез
Стек:
— Backend: Java + Spring Boot
— Frontend: JavaScript + React
— Мобильная разработка: знание архитектур нативных мобильных приложений
— Контейнеризация и оркестрация: Kubernetes
— Хранение данных: PostgreSQL, Cassandra, Redis, MinIO
— Асинхронное взаимодействие: Kafka, ArtemisMQ
— Camunda 8 Stack — ключевой компонент, обеспечивающий оркестрацию платёжных процессов
Location: Lisbon, Portugal; Porto, Portugal
About Workato
Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit
workato.com
.
Why join us?
Ultimately, Workato believes in fostering a
flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
. We are driven by
innovation
and looking for
team players
who want to actively build our company.
But, we also believe in
balancing productivity with self-care
. That’s why we offer all of our employees a vibrant and dynamic work environment
along with a multitude of benefits
they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
Business Insider
named us an “enterprise startup to bet your career on”
Forbes’ Cloud 100
recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500
ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz
ranked us the #1 best company for remote workers
Responsibilities
As our PostgreSQL DBA, you will be the go-to engineer for everything data-layer: index and schema design on multi-terabyte tables, query optimization for application teams, connection pooling, upgrades, and migrations. Our PostgreSQL runs on Amazon Aurora — operating a large, fast-growing fleet consistently: turning one-off procedures into reliable automation, keeping dozens of clusters healthy at once, and helping developers use the database well. You'll split your time between a support rotation for incoming developer requests and longer-cycle reliability and automation projects.
In this role, y
ou will also be responsible to:
Own day-to-day PostgreSQL operations across all production data centers: index creation on large/partitioned tables, query-plan analysis, schema reviews, data migrations.
Partner with application teams on data-model decisions — design, partitioning, retention, consolidation vs. standalone clusters — and push back with data when a design won't scale.
Operate and tune Aurora PostgreSQL: parameter groups, replicas, failover behavior, capacity planning.
Run and evolve our PgBouncer connection-pooling layer.
Turn manual runbooks into released, repeatable automation: seamless upgrade, switchover, database/user provisioning, grants management (Terraform + Ansible).
Drive incident response and RCAs for database-related issues, and land the follow-up actions.
Maintain and improve database observability (postgres_exporter, VictoriaMetrics dashboards and alerts).
Take part in the team's duty rotation handling developer requests, with protected focus time off-duty.
Requirements
Qualifications / Experience / Technical Skills
5+ years of hands-on operational PostgreSQL experience (DBA / database reliability role).
Strong command of query plans, indexing strategy, and performance work on multi-TB tables.
Production experience with managed PostgreSQL (Aurora or RDS) and a clear-eyed view of its constraints.
Working proficiency with Terraform and Infrastructure-as-Code practices; comfortable in Linux.
Experience with connection pooling (PgBouncer or similar) in production.
Practical experience with logical replication, major-version upgrades, and low-downtime migration techniques.
Scripting ability (Bash, Python or GO) and an automation-first mindset.
Experience with cloud infrastructure (AWS preferred); strong incident-management and RCA skills.
Nice to Haves
Operational exposure to ClickHouse, OpenSearch, or Redis/Valkey, Neo4j.
Kubernetes fundamentals (our poolers, proxies, and exporters run on EKS).
Experience with Vault, ArgoCD, or GitOps workflows.
Comfort using AI coding assistants to accelerate routine analysis and tooling.
Tech Stack
AWS • Aurora PostgreSQL • Kubernetes • PgBouncer • Terraform • Ansible • VictoriaMetrics • Vault • Linux
(REQ ID: 2960)
Location: Sofia, Bulgaria
About Workato
Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit
workato.com
.
Why join us?
Ultimately, Workato believes in fostering a
flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
. We are driven by
innovation
and looking for
team players
who want to actively build our company.
But, we also believe in
balancing productivity with self-care
. That’s why we offer all of our employees a vibrant and dynamic work environment
along with a multitude of benefits
they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
Business Insider
named us an “enterprise startup to bet your career on”
Forbes’ Cloud 100
recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500
ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz
ranked us the #1 best company for remote workers
Responsibilities
As our PostgreSQL DBA, you will be the go-to engineer for everything data-layer: index and schema design on multi-terabyte tables, query optimization for application teams, connection pooling, upgrades, and migrations. Our PostgreSQL runs on Amazon Aurora — operating a large, fast-growing fleet consistently: turning one-off procedures into reliable automation, keeping dozens of clusters healthy at once, and helping developers use the database well. You'll split your time between a support rotation for incoming developer requests and longer-cycle reliability and automation projects.
In this role, y
ou will also be responsible to:
Own day-to-day PostgreSQL operations across all production data centers: index creation on large/partitioned tables, query-plan analysis, schema reviews, data migrations.
Partner with application teams on data-model decisions — design, partitioning, retention, consolidation vs. standalone clusters — and push back with data when a design won't scale.
Operate and tune Aurora PostgreSQL: parameter groups, replicas, failover behavior, capacity planning.
Run and evolve our PgBouncer connection-pooling layer.
Turn manual runbooks into released, repeatable automation: seamless upgrade, switchover, database/user provisioning, grants management (Terraform + Ansible).
Drive incident response and RCAs for database-related issues, and land the follow-up actions.
Maintain and improve database observability (postgres_exporter, VictoriaMetrics dashboards and alerts).
Take part in the team's duty rotation handling developer requests, with protected focus time off-duty.
Requirements
Qualifications / Experience / Technical Skills
5+ years of hands-on operational PostgreSQL experience (DBA / database reliability role).
Strong command of query plans, indexing strategy, and performance work on multi-TB tables.
Production experience with managed PostgreSQL (Aurora or RDS) and a clear-eyed view of its constraints.
Working proficiency with Terraform and Infrastructure-as-Code practices; comfortable in Linux.
Experience with connection pooling (PgBouncer or similar) in production.
Practical experience with logical replication, major-version upgrades, and low-downtime migration techniques.
Scripting ability (Bash, Python or GO) and an automation-first mindset.
Experience with cloud infrastructure (AWS preferred); strong incident-management and RCA skills.
Nice to Haves
Operational exposure to ClickHouse, OpenSearch, or Redis/Valkey, Neo4j.
Kubernetes fundamentals (our poolers, proxies, and exporters run on EKS).
Experience with Vault, ArgoCD, or GitOps workflows.
Comfort using AI coding assistants to accelerate routine analysis and tooling.
Tech Stack
AWS • Aurora PostgreSQL • Kubernetes • PgBouncer • Terraform • Ansible • VictoriaMetrics • Vault • Linux
(REQ ID: 2960)
Location: Berlin, Germany; Frankfurt, Germany; Munich, Germany
About Workato
Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit
workato.com
.
Why join us?
Ultimately, Workato believes in fostering a
flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
. We are driven by
innovation
and looking for
team players
who want to actively build our company.
But, we also believe in
balancing productivity with self-care
. That’s why we offer all of our employees a vibrant and dynamic work environment
along with a multitude of benefits
they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
Business Insider
named us an “enterprise startup to bet your career on”
Forbes’ Cloud 100
recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500
ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz
ranked us the #1 best company for remote workers
Responsibilities
As our PostgreSQL DBA, you will be the go-to engineer for everything data-layer: index and schema design on multi-terabyte tables, query optimization for application teams, connection pooling, upgrades, and migrations. Our PostgreSQL runs on Amazon Aurora — operating a large, fast-growing fleet consistently: turning one-off procedures into reliable automation, keeping dozens of clusters healthy at once, and helping developers use the database well. You'll split your time between a support rotation for incoming developer requests and longer-cycle reliability and automation projects.
In this role, y
ou will also be responsible to:
Own day-to-day PostgreSQL operations across all production data centers: index creation on large/partitioned tables, query-plan analysis, schema reviews, data migrations.
Partner with application teams on data-model decisions — design, partitioning, retention, consolidation vs. standalone clusters — and push back with data when a design won't scale.
Operate and tune Aurora PostgreSQL: parameter groups, replicas, failover behavior, capacity planning.
Run and evolve our PgBouncer connection-pooling layer.
Turn manual runbooks into released, repeatable automation: seamless upgrade, switchover, database/user provisioning, grants management (Terraform + Ansible).
Drive incident response and RCAs for database-related issues, and land the follow-up actions.
Maintain and improve database observability (postgres_exporter, VictoriaMetrics dashboards and alerts).
Take part in the team's duty rotation handling developer requests, with protected focus time off-duty.
Requirements
Qualifications / Experience / Technical Skills
5+ years of hands-on operational PostgreSQL experience (DBA / database reliability role).
Strong command of query plans, indexing strategy, and performance work on multi-TB tables.
Production experience with managed PostgreSQL (Aurora or RDS) and a clear-eyed view of its constraints.
Working proficiency with Terraform and Infrastructure-as-Code practices; comfortable in Linux.
Experience with connection pooling (PgBouncer or similar) in production.
Practical experience with logical replication, major-version upgrades, and low-downtime migration techniques.
Scripting ability (Bash, Python or GO) and an automation-first mindset.
Experience with cloud infrastructure (AWS preferred); strong incident-management and RCA skills.
Nice to Haves
Operational exposure to ClickHouse, OpenSearch, or Redis/Valkey, Neo4j.
Kubernetes fundamentals (our poolers, proxies, and exporters run on EKS).
Experience with Vault, ArgoCD, or GitOps workflows.
Comfort using AI coding assistants to accelerate routine analysis and tooling.
Tech Stack
AWS • Aurora PostgreSQL • Kubernetes • PgBouncer • Terraform • Ansible • VictoriaMetrics • Vault • Linux
(REQ ID: 2960)
Location: Barcelona, Spain; Madrid, Spain
About Workato
Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit
workato.com
.
Why join us?
Ultimately, Workato believes in fostering a
flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
. We are driven by
innovation
and looking for
team players
who want to actively build our company.
But, we also believe in
balancing productivity with self-care
. That’s why we offer all of our employees a vibrant and dynamic work environment
along with a multitude of benefits
they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
Business Insider
named us an “enterprise startup to bet your career on”
Forbes’ Cloud 100
recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500
ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz
ranked us the #1 best company for remote workers
Responsibilities
As our PostgreSQL DBA, you will be the go-to engineer for everything data-layer: index and schema design on multi-terabyte tables, query optimization for application teams, connection pooling, upgrades, and migrations. Our PostgreSQL runs on Amazon Aurora — operating a large, fast-growing fleet consistently: turning one-off procedures into reliable automation, keeping dozens of clusters healthy at once, and helping developers use the database well. You'll split your time between a support rotation for incoming developer requests and longer-cycle reliability and automation projects.
In this role, y
ou will also be responsible to:
Own day-to-day PostgreSQL operations across all production data centers: index creation on large/partitioned tables, query-plan analysis, schema reviews, data migrations.
Partner with application teams on data-model decisions — design, partitioning, retention, consolidation vs. standalone clusters — and push back with data when a design won't scale.
Operate and tune Aurora PostgreSQL: parameter groups, replicas, failover behavior, capacity planning.
Run and evolve our PgBouncer connection-pooling layer.
Turn manual runbooks into released, repeatable automation: seamless upgrade, switchover, database/user provisioning, grants management (Terraform + Ansible).
Drive incident response and RCAs for database-related issues, and land the follow-up actions.
Maintain and improve database observability (postgres_exporter, VictoriaMetrics dashboards and alerts).
Take part in the team's duty rotation handling developer requests, with protected focus time off-duty.
Requirements
Qualifications / Experience / Technical Skills
5+ years of hands-on operational PostgreSQL experience (DBA / database reliability role).
Strong command of query plans, indexing strategy, and performance work on multi-TB tables.
Production experience with managed PostgreSQL (Aurora or RDS) and a clear-eyed view of its constraints.
Working proficiency with Terraform and Infrastructure-as-Code practices; comfortable in Linux.
Experience with connection pooling (PgBouncer or similar) in production.
Practical experience with logical replication, major-version upgrades, and low-downtime migration techniques.
Scripting ability (Bash, Python or GO) and an automation-first mindset.
Experience with cloud infrastructure (AWS preferred); strong incident-management and RCA skills.
Nice to Haves
Operational exposure to ClickHouse, OpenSearch, or Redis/Valkey, Neo4j.
Kubernetes fundamentals (our poolers, proxies, and exporters run on EKS).
Experience with Vault, ArgoCD, or GitOps workflows.
Comfort using AI coding assistants to accelerate routine analysis and tooling.
Tech Stack
AWS • Aurora PostgreSQL • Kubernetes • PgBouncer • Terraform • Ansible • VictoriaMetrics • Vault • Linux
(REQ ID: 2960)
Location: Georgia; Belarus; Armenia; Serbia; Moldova; Kyrgyzstan; Uzbekistan; Dubai; Estonia; Finland; Greece; Montenegro; Poland; Romania; Bulgaria
Workplace: remote
About the Team
We are Quadcode, a fintech company excelling in financial brokerage activities and delivering advanced financial products to our global clientele. Our flagship product, an internal trading platform, is offered as a Software-as-a-Service (SaaS) solution to other brokers.
About the role
We’re looking for a Linux Administrator to join our Ops team — a team working at the intersection of infrastructure and software development, supporting applications built with PHP and Go.
The Ops team is responsible for keeping the infrastructure and services behind our products stable, secure and reliable in production. The team works across virtual machines, databases, CI/CD, monitoring, automation and internal platform services such as Thanos, Prometheus, Grafana, Ceph and profiling systems.
Our infrastructure supports the stable operation of a large-scale trading platform and includes 2,000+ virtual machines and 300+ physical servers, running predominantly on Ubuntu.
We work with Scrum, Agile and a data-driven approach, with two-week sprints and a strong focus on continuous improvement.
The position is full-time remote, with a flexible start time — anytime before 12:00 pm EET/EEST.
Why this role?
You won’t be focused on just maintaining servers or working with isolated infrastructure components.
You’ll be part of the team responsible for the production environment behind products used by millions of users, working directly with development teams, helping them troubleshoot infrastructure-related issues and keep their services running reliably in production.
It’s a good fit for an engineer who enjoys troubleshooting, automation and making infrastructure more reliable and scalable, rather than simply maintaining servers.
Tasks
Administer Linux servers (Ubuntu) across development and production environments.
Administer PostgreSQL databases and Greenplum clusters, including performance and reliability troubleshooting.
Administer and support KeyDB, ClickHouse and Kafka.
Configure and maintain infrastructure services such as Nginx, Jenkins, GitLab CI, DataHub, Allure and Airflow.
Automate infrastructure and operational tasks using Ansible, as well as scripting with Python, Bash and other languages.
Work with Docker and Kubernetes environments, including application deployments using Helm.
Monitor production systems, troubleshoot incidents and improve system performance and reliability.
Build and maintain CI/CD pipelines, working with tools such as GitLab CI and Jenkins.
Work with OpenStack and AWS infrastructure.
Support development teams with infrastructure-related issues and their working environments.
Work closely with the Infrastructure team to troubleshoot issues and coordinate infrastructure changes, including new hardware provisioning.
Contribute to security practices and PCI DSS requirements.
Requirements
3+ years of hands-on experience administering Linux servers in production environments.
Strong practical knowledge of Linux internals, networking, system services and troubleshooting.
Experience administering PostgreSQL and/or Greenplum.
Experience with containerization and orchestration technologies, including Docker and Kubernetes.
Hands-on experience with Ansible for infrastructure automation.
Good scripting skills with Python and/or Bash.
Hands-on experience with CI/CD, particularly GitLab CI and/or Jenkins.
Experience with monitoring, logging and system profiling, particularly Prometheus and Grafana.
Fluent Russian (C2 or higher) for communication with the team.
English B1+ for technical documentation and written communication.
Nice to have
DBA experience, including hands-on administration of databases and data infrastructure.
Experience with Patroni.
Experience supporting high-load or distributed production systems.
Experience with AWS and OpenStack.
Experience with PCI DSS.
Experience reading and/or writing code in PHP/Go.
Experience with Ceph.
Experience with fintech/trading.
We offer
Full-time remote work (service provider contract).
Competitive compensation (EUR).
Flexible working hours.
Corporate AI subscriptions (Claude, Gemini, GPT, etc.).
Access to a rewards marketplace offering products and language courses, redeemable using the company’s internal currency.
A strong team of engineers.
Positive and friendly atmosphere.
With a team of 500+ creative and tech-driven people across the globe, Quadcode is the place where ideas turn into impact, where every project is a chance to grow, innovate, and make your mark.
Join us today, and let's shape the future of fintech together!
Note: All applications will be treated with strict confidence. We thank all applicants for their interest, however, only those candidates selected for interviews will be contacted.
#LI-JM1
Задачи:
— Контроль ежедневных бухгалтерских операций, связанных с портфелем кредитов и долгами компании, обеспечение точной и своевременной финансовой отчетности в соответствии с применимыми стандартами и политиками.
— Руководство процессом закрытия месяца по счетам, связанным с кредитами и долгами, включая проводки, сверки счетов, аналитические отчеты и другие операции.
— Руководство, наставничество и развитие сотрудников бухгалтерской команды, предоставление приоритетов, обратной связи и поддержки.
— Усиление бухгалтерских процессов и внутренних контролей, выявление возможностей для снижения ручной работы, улучшения качества данных, оптимизации рабочих процессов и повышения эффективности отчетности.
— Использование инструментов с искусственным интеллектом и новых технологий для улучшения анализа, документации, рабочих процессов и операционной эффективности при сохранении контроля.
— Взаимодействие с командами финансов, технологий и другими подразделениями для внедрения улучшений процессов, автоматизации и масштабируемых практик бухгалтерского учета.
Требования:
— Степень бакалавра в области бухгалтерского учета, финансов или смежной области.
— Опыт работы в бухгалтерии не менее 6 лет с прогрессией.
— Глубокие знания US GAAP и умение исследовать, интерпретировать и применять бухгалтерские стандарты.
— Опыт работы с бухгалтерским учетом кредитов, займов, долгов или в финансовом секторе.
— Опыт руководства, наставничества и проверки работы бухгалтеров.
— Опыт работы с внутренними контролями и улучшением бухгалтерских процессов.
— Сильные аналитические и проблемно-решающие навыки для выявления и решения сложных бухгалтерских вопросов.
— Умение управлять несколькими приоритетами и соблюдать жесткие сроки в динамичной среде.
— Хорошие навыки письменного и устного общения для эффективного взаимодействия с финансовыми и другими подразделениями.
— Готовность ответственно использовать инструменты с искусственным интеллектом и новые технологии для улучшения бухгалтерского учета.
Желательно:
— Сертификация CPA или прогресс в её получении.
— Опыт работы в потребительском кредитовании, финансовых услугах, финтехе, банковской сфере или смежных отраслях.
— Опыт внедрения улучшений бухгалтерских процессов, автоматизации рабочих процессов или улучшений финансовых систем.
— Знакомство с инструментами AI в бухгалтерии, финансах, аналитике или продуктивности в контролируемой среде.
Условия:
— Полная занятость, удаленная работа из США.
— Конкурентная заработная плата в диапазоне $91,500 - $146,400 в год.
— Пакет льгот, включая 401(k) с компанией-матчем, медицинскую, стоматологическую и офтальмологическую страховку, гибкие счета расходов, страхование жизни и инвалидности, программы добровольного страхования, оплачиваемый отпуск и декретный отпуск.
— Возможности для использования и экспериментов с AI-инструментами в работе.
Hyderabad, Telangana, India; Relocation assistance is not available; For applicants from the European Union, please review
Bengaluru, Karnataka, India; Relocation assistance is not available; For applicants from the European Union, please review
ГибридМосква
leadSingapore; Due to the timezone differences, you will serve as the primary regional networking authority, bridging global network architecture defined with our EU/EMEA/the US engineering headquarters and regional execution across APAC colocation sites, cable landings, and data centers
seniorZurich, Switzerland
seniorAmsterdam, Netherlands; Berlin, Germany; Israel; Remote - Europe
УдалённоseniorRemote: India; This role is only open to candidates based in Mumbai as you will be required to regularly meet with customers and partners located there
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