Location: Belgrade, Remote/Serbia
Workplace: remote
Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby to stay in control of their spending and make the most out of their money.
The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 70,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores.
Tabby generates over $18 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region.
Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $6,5 billion.
ServiceDesk is the L1 layer between frontline support and engineering. Frontline agents escalate complex customer cases to us; we resolve them or route them to the right engineering team, and we own the whole path a ticket takes: from intake and classification to SLA, escalation and closure. We build our own tools for it: an in-house analytics platform, automations in CRM and Jira, and AI-assisted handling of tickets. You will help us make that path faster, clearer and easier to measure.
Key Responsibilities:
Own and improve the ticket flow between CRM and Jira: statuses, routing, escalation rules between L1, L2 and engineering teams;
Keep ticket classification and SLA targets accurate (issue types, categories, responsible teams) and fix gaps in the data;
Find where tickets get stuck, bounce back or breach SLA, and turn findings into process changes or clear tasks for engineering;
Work with frontline and engineering teams on intake quality: what a good escalation looks like and how to give feedback;
Automate routine steps in CRM procedures and Jira (automation rules, scripts);
Contribute to our internal tools and services (TypeScript / Node.js, Go): features, fixes and integrations, through merge requests and code review;
Help roll out and check AI-assisted ticket handling: what it gets right, where it fails, what to change;
Measure the effect of every change with data, and report it in a clear, short form;
Prepare and maintain documentation and playbooks for L1 and L2.
What you’ll bring:
2+ years in technical support, support operations or a similar role with tiered support (L1/L2/L3) and SLAs;
Solid experience with Jira: workflows, JQL, automation rules, dashboards;
Experience with a CRM or helpdesk system (ticket lifecycle, queues, routing);
SQL for your own analysis: joins, aggregations, working with large tables;
Working with logs and monitoring tools to investigate issues (Datadog, Grafana, Kibana);
Hands-on coding in at least one of: TypeScript / JavaScript, Go, Python (Google Apps Script counts for automation);
Working with Git, merge requests and code review;
Understanding of HTTP, REST APIs and webhooks;
Process thinking: you can map a flow, spot the weak step and change it without breaking the rest;
Clear writing in English (B2): instructions, task descriptions, short reports;
Ownership and autonomy: you drive a change to the end, including agreeing it with other teams.
Nice to have:
Production experience with Node.js / TypeScript or Go services, and Postgres;
Jira administration, Jira Service Management or Assets;
Understanding of ITIL processes;
Google Cloud and BigQuery;
Experience with LLM tools or agents in support: prompts, evaluation, guardrails;
Experience at a fintech company and/or a startup.
What we offer:
Full-time B2B contract
Fully remote setup
Up to 20% tax allowance
22 paid leave days annually
Stock options (ESOP) in a fast-scaling, pre-IPO company
Flexi benefits you can use for wellness, travel, or learning
Work alongside a high-performing, international engineering team in a global fintech unicorn
Location: Yerevan, Remote/Yerevan
Workplace: remote
Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby to stay in control of their spending and make the most out of their money.
The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 70,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores.
Tabby generates over $18 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region.
Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $6,5 billion.
ServiceDesk is the L1 layer between frontline support and engineering. Frontline agents escalate complex customer cases to us; we resolve them or route them to the right engineering team, and we own the whole path a ticket takes: from intake and classification to SLA, escalation and closure. We build our own tools for it: an in-house analytics platform, automations in CRM and Jira, and AI-assisted handling of tickets. You will help us make that path faster, clearer and easier to measure.
Key Responsibilities:
Own and improve the ticket flow between CRM and Jira: statuses, routing, escalation rules between L1, L2 and engineering teams;
Keep ticket classification and SLA targets accurate (issue types, categories, responsible teams) and fix gaps in the data;
Find where tickets get stuck, bounce back or breach SLA, and turn findings into process changes or clear tasks for engineering;
Work with frontline and engineering teams on intake quality: what a good escalation looks like and how to give feedback;
Automate routine steps in CRM procedures and Jira (automation rules, scripts);
Contribute to our internal tools and services (TypeScript / Node.js, Go): features, fixes and integrations, through merge requests and code review;
Help roll out and check AI-assisted ticket handling: what it gets right, where it fails, what to change;
Measure the effect of every change with data, and report it in a clear, short form;
Prepare and maintain documentation and playbooks for L1 and L2.
What you’ll bring:
2+ years in technical support, support operations or a similar role with tiered support (L1/L2/L3) and SLAs;
Solid experience with Jira: workflows, JQL, automation rules, dashboards;
Experience with a CRM or helpdesk system (ticket lifecycle, queues, routing);
SQL for your own analysis: joins, aggregations, working with large tables;
Working with logs and monitoring tools to investigate issues (Datadog, Grafana, Kibana);
Hands-on coding in at least one of: TypeScript / JavaScript, Go, Python (Google Apps Script counts for automation);
Working with Git, merge requests and code review;
Understanding of HTTP, REST APIs and webhooks;
Process thinking: you can map a flow, spot the weak step and change it without breaking the rest;
Clear writing in English (B2): instructions, task descriptions, short reports;
Ownership and autonomy: you drive a change to the end, including agreeing it with other teams.
Nice to have:
Production experience with Node.js / TypeScript or Go services, and Postgres;
Jira administration, Jira Service Management or Assets;
Understanding of ITIL processes;
Google Cloud and BigQuery;
Experience with LLM tools or agents in support: prompts, evaluation, guardrails;
Experience at a fintech company and/or a startup.
What we offer:
Full-time B2B contract
Fully remote setup
Up to 20% tax allowance
22 paid leave days annually
Stock options (ESOP) in a fast-scaling, pre-IPO company
Flexi benefits you can use for wellness, travel, or learning
Work alongside a high-performing, international engineering team in a global fintech unicorn
Location: Tbilisi, Remote/Tbilisi
Workplace: remote
Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby to stay in control of their spending and make the most out of their money.
The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 70,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores.
Tabby generates over $18 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region.
Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $6,5 billion.
ServiceDesk is the L1 layer between frontline support and engineering. Frontline agents escalate complex customer cases to us; we resolve them or route them to the right engineering team, and we own the whole path a ticket takes: from intake and classification to SLA, escalation and closure. We build our own tools for it: an in-house analytics platform, automations in CRM and Jira, and AI-assisted handling of tickets. You will help us make that path faster, clearer and easier to measure.
Key Responsibilities:
Own and improve the ticket flow between CRM and Jira: statuses, routing, escalation rules between L1, L2 and engineering teams;
Keep ticket classification and SLA targets accurate (issue types, categories, responsible teams) and fix gaps in the data;
Find where tickets get stuck, bounce back or breach SLA, and turn findings into process changes or clear tasks for engineering;
Work with frontline and engineering teams on intake quality: what a good escalation looks like and how to give feedback;
Automate routine steps in CRM procedures and Jira (automation rules, scripts);
Contribute to our internal tools and services (TypeScript / Node.js, Go): features, fixes and integrations, through merge requests and code review;
Help roll out and check AI-assisted ticket handling: what it gets right, where it fails, what to change;
Measure the effect of every change with data, and report it in a clear, short form;
Prepare and maintain documentation and playbooks for L1 and L2.
What you’ll bring:
2+ years in technical support, support operations or a similar role with tiered support (L1/L2/L3) and SLAs;
Solid experience with Jira: workflows, JQL, automation rules, dashboards;
Experience with a CRM or helpdesk system (ticket lifecycle, queues, routing);
SQL for your own analysis: joins, aggregations, working with large tables;
Working with logs and monitoring tools to investigate issues (Datadog, Grafana, Kibana);
Hands-on coding in at least one of: TypeScript / JavaScript, Go, Python (Google Apps Script counts for automation);
Working with Git, merge requests and code review;
Understanding of HTTP, REST APIs and webhooks;
Process thinking: you can map a flow, spot the weak step and change it without breaking the rest;
Clear writing in English (B2): instructions, task descriptions, short reports;
Ownership and autonomy: you drive a change to the end, including agreeing it with other teams.
Nice to have:
Production experience with Node.js / TypeScript or Go services, and Postgres;
Jira administration, Jira Service Management or Assets;
Understanding of ITIL processes;
Google Cloud and BigQuery;
Experience with LLM tools or agents in support: prompts, evaluation, guardrails;
Experience at a fintech company and/or a startup.
What we offer:
Full-time B2B contract
Fully remote setup
Up to 20% tax allowance
22 paid leave days annually
Stock options (ESOP) in a fast-scaling, pre-IPO company
Flexi benefits you can use for wellness, travel, or learning
Work alongside a high-performing, international engineering team in a global fintech unicorn
Location: Poland, Remote/Poland
Workplace: remote
Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby to stay in control of their spending and make the most out of their money.
The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 70,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores.
Tabby generates over $18 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region.
Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $6,5 billion.
ServiceDesk is the L1 layer between frontline support and engineering. Frontline agents escalate complex customer cases to us; we resolve them or route them to the right engineering team, and we own the whole path a ticket takes: from intake and classification to SLA, escalation and closure. We build our own tools for it: an in-house analytics platform, automations in CRM and Jira, and AI-assisted handling of tickets. You will help us make that path faster, clearer and easier to measure.
Key Responsibilities:
Own and improve the ticket flow between CRM and Jira: statuses, routing, escalation rules between L1, L2 and engineering teams;
Keep ticket classification and SLA targets accurate (issue types, categories, responsible teams) and fix gaps in the data;
Find where tickets get stuck, bounce back or breach SLA, and turn findings into process changes or clear tasks for engineering;
Work with frontline and engineering teams on intake quality: what a good escalation looks like and how to give feedback;
Automate routine steps in CRM procedures and Jira (automation rules, scripts);
Contribute to our internal tools and services (TypeScript / Node.js, Go): features, fixes and integrations, through merge requests and code review;
Help roll out and check AI-assisted ticket handling: what it gets right, where it fails, what to change;
Measure the effect of every change with data, and report it in a clear, short form;
Prepare and maintain documentation and playbooks for L1 and L2.
What you’ll bring:
2+ years in technical support, support operations or a similar role with tiered support (L1/L2/L3) and SLAs;
Solid experience with Jira: workflows, JQL, automation rules, dashboards;
Experience with a CRM or helpdesk system (ticket lifecycle, queues, routing);
SQL for your own analysis: joins, aggregations, working with large tables;
Working with logs and monitoring tools to investigate issues (Datadog, Grafana, Kibana);
Hands-on coding in at least one of: TypeScript / JavaScript, Go, Python (Google Apps Script counts for automation);
Working with Git, merge requests and code review;
Understanding of HTTP, REST APIs and webhooks;
Process thinking: you can map a flow, spot the weak step and change it without breaking the rest;
Clear writing in English (B2): instructions, task descriptions, short reports;
Ownership and autonomy: you drive a change to the end, including agreeing it with other teams.
Nice to have:
Production experience with Node.js / TypeScript or Go services, and Postgres;
Jira administration, Jira Service Management or Assets;
Understanding of ITIL processes;
Google Cloud and BigQuery;
Experience with LLM tools or agents in support: prompts, evaluation, guardrails;
Experience at a fintech company and/or a startup.
What we offer:
Full-time B2B contract
Fully remote setup
Up to 20% tax allowance
22 paid leave days annually
Stock options (ESOP) in a fast-scaling, pre-IPO company
Flexi benefits you can use for wellness, travel, or learning
Work alongside a high-performing, international engineering team in a global fintech unicorn
Location: Belgrade, Remote
Workplace: remote
Tabby
creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby to stay in control of their spending and make the most out of their money.
The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 70,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores.
Tabby generates over $18 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region.
Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $6,5 billion.
ServiceDesk
is the L1 layer between frontline support and engineering. Frontline agents escalate complex customer cases to us; we resolve them or route them to the right engineering team, and we own the whole path a ticket takes: from intake and classification to SLA, escalation and closure. We build our own tools for it: an in-house analytics platform, automations in CRM and Jira, and AI-assisted handling of tickets. You will help us make that path faster, clearer and easier to measure.
Key Responsibilities:
Own and improve the ticket flow between CRM and Jira: statuses, routing, escalation rules between L1, L2 and engineering teams;
Keep ticket classification and SLA targets accurate (issue types, categories, responsible teams) and fix gaps in the data;
Find where tickets get stuck, bounce back or breach SLA, and turn findings into process changes or clear tasks for engineering;
Work with frontline and engineering teams on intake quality: what a good escalation looks like and how to give feedback;
Automate routine steps in CRM procedures and Jira (automation rules, scripts);
Contribute to our internal tools and services (TypeScript / Node.js, Go): features, fixes and integrations, through merge requests and code review;
Help roll out and check AI-assisted ticket handling: what it gets right, where it fails, what to change;
Measure the effect of every change with data, and report it in a clear, short form;
Prepare and maintain documentation and playbooks for L1 and L2.
What you’ll bring:
2+ years in technical support, support operations or a similar role with tiered support (L1/L2/L3) and SLAs;
Solid experience with Jira: workflows, JQL, automation rules, dashboards;
Experience with a CRM or helpdesk system (ticket lifecycle, queues, routing);
SQL for your own analysis: joins, aggregations, working with large tables;
Working with logs and monitoring tools to investigate issues (Datadog, Grafana, Kibana);
Hands-on coding in at least one of: TypeScript / JavaScript, Go, Python (Google Apps Script counts for automation);
Working with Git, merge requests and code review;
Understanding of HTTP, REST APIs and webhooks;
Process thinking: you can map a flow, spot the weak step and change it without breaking the rest;
Clear writing in English (B2): instructions, task descriptions, short reports;
Ownership and autonomy: you drive a change to the end, including agreeing it with other teams.
Nice to have:
Production experience with Node.js / TypeScript or Go services, and Postgres;
Jira administration, Jira Service Management or Assets;
Understanding of ITIL processes;
Google Cloud and BigQuery;
Experience with LLM tools or agents in support: prompts, evaluation, guardrails;
Experience at a fintech company and/or a startup.
What we offer:
Full-time B2B contract
Fully remote setup
Up to 20% tax allowance
22 paid leave days annually
Stock options (ESOP) in a fast-scaling, pre-IPO company
Flexi benefits you can use for wellness, travel, or learning
Work alongside a high-performing, international engineering team in a global fintech unicorn
Основной стек: JavaScript, TypeScript, Angular 20+, CSS, NodeJS, Electron, Git Задачи: Разработка и поддержка клиентских компонентов Разработка и поддержка админок Разработка и поддержка сервисов и микро сервисов Разработка клиентской части Требования: Опыт коммерческой разработки web-приложений на Angular актуальных версий;
Location: Москва
Мультиканальная платформа информирования и управления высокоприоритетными сбоями в Банке и экосистеме Сбера с оценкой влияния на клиентские сервисы в онлайн режиме. Продукт предназначен для топ-менеджмента банка и экосистемы, руководителей подразделений, владельцев и лидеров продуктов, дежурных смен и специалистов по сопровождению ИТ-услуг. Основная цель — эффективное управление массовыми отклонениями для минимизации негативного влияния на внешних и внутренних клиентов. Наша стратегия развития - реализация единой платформы по автономотизации и автоматизации процессов сопровождения с созданием мультиагентной системы с возможностью пользовательской настройки через UI.
Обязанности
* сбор, анализ и формализация бизнес требований от внутренних заказчиков
* разработка системных требований (описание бизнес логики, REST методов, интеграционных контрактов, моделей данных)
* участие в построении архитектуры приложения и интеграций
* остановка задач разработчикам и дизайнерам, взаимодействие со смежными командами
* помощь команде тестирования в ревью тест-кейсов и подготовке тестовых данных
* участие в обучении пользователей системы, проведение демо новых фич
* ведение и поддержка документации по API в актуальном состоянии.
Требования
* опыт работы системным аналитиком от 5 лет
* навыки сбора, анализа и документирования требований
* навыки работы с REST-API (проектирование, описание)
* навыки работы с kafka (проектирование продьюсеров/консьюмеров, описание потоков данных)
* умение составлять SQL-запросы (связь таблиц, группировка, сортировка, представления)
* знание основ программирования, проектирования, методологий разработки
* навыки работы с генеративными AI-моделями.
### **Будет плюсом:**
* навыки работы в продуктах Atlassian (Jira, Confluence)
* знание одного из языков программирования Java, JavaScript, Python
* опыт работы с PostgreSQL
* знание основ функционального тестирования.
Условия
* офис: г Москва, проезд 2-й Южнопортовый, 12Ак1стр1
* гибридный формат работы на территории Москвы и МО
* более 400 образовательных программ СберУниверситета для профессионального и карьерного развития
* 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 Сбера.
Location: Bogotá, Colombia; Buenos Aires, Argentina; Montevideo, Uruguay; Bangalore, India; Islamabad, Pakistan; Hanoi, Vietnam; London, United Kingdom; Lugano, Switzerland; Barcelona, Spain; Dubai, United Arab Emirates; Sofia, Bulgaria; Prague, Czechia; Belgrade, Serbia; Copenhagen, Denmark; Tallinn, Estonia; Helsinki, Finland; Athens, Greece; Zagreb, Croatia; Tbilisi, Georgia; United Kindom, United Kingdom; Dublin, Ireland; Milano, Italy; Oslo, Norway; Amsterdam, Netherlands; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Stockholm, Sweden; Brussels, Belgium; Tel Aviv, Israel
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the role:
You will own the inference backbone behind QVAC's local AI stack: the C++ systems layer that makes models run fast, reliably, and predictably on real user hardware. The role is centered on engineering quality at runtime level, including startup behavior, memory pressure, throughput/latency balance, and long-session stability. You will define and evolve the core abstractions that inference features depend on, so new capabilities can be added without sacrificing performance or maintainability. This is a role for someone who enjoys low-level problem solving, clear technical ownership, and building infrastructure that other teams trust in production. Your work directly enables private, on-device AI experiences and helps set the technical foundation for QVAC's next generation of peer-to-peer AI products.
About the job
You'll work on the C++ layer that powers local AI, porting and enhancing inference engines like llama.cpp or similar, to run efficiently on edge devices. Your focus is on the runtime: making models load faster, run leaner, and perform well across different hardware. You'll ensure that the inference layer is stable, optimized, and ready for integration with the rest of the stack.
This role is for engineers who want to work close to the metal, enabling private and fast on-device AI without relying on cloud infrastructure.
Responsibilities
Work on deploying machine learning models to edge devices using the frameworks: llama.cpp, ggml
Collaborate closely with researchers to assist in coding, training and transitioning models from research to production environments
Integrate AI features into existing products, enriching them with the latest advancements in machine learning
Strong programming skills in C++
Strong experience with Llama.cpp and ggml inference engines, which facilitates the deployment of models to specific GPU architectures
Experience with any GPU framework between Cuda, Vulkan, Metal, OpenCL
Good understanding of deep learning concepts and model architectures
Experience with transformers, LLMs, Diffusion models
Demonstrated ability to rapidly assimilate new technologies and techniques
A degree in Computer Science, AI, Machine Learning, or a related field, complemented by a solid track record in AI R&D
Bonus points if:
You know how to train/fine-tune a LLM
You have productionized models
You have research experience in new model architectures
You have experience with distributed systems
Javascript experience
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Ищет технического специалиста с сильными навыками Backend и DevOps для построения и поддержки технической инфраструктуры performance marketing команды. • Развёртывание и администрирование серверов Linux, VPS/VDS.
Location: Москва
Мы развиваем инфраструктуру для выпуска и обращения Цифровых Прав в публичных БЧ. Этот проект на стыке классического Enterprise и передовых блокчейн-технологий. Вы будете работать со сложной микросервисной архитектурой, смарт-контрактами и блокчейн-сетями, а также участвовать в разработке интерфейсов, выстраивая клиентские сценарии.
Обязанности
* разработка, рефакторинг и поддержка сервисов и компонентов информационных систем на стеке Java (Spring Boot), PostgreSQL, Kafka в среде OpenShift (Kubernetes)
* участие в проектировании на уровне отдельных модулей и подсистем – выбор технических реализаций в рамках согласованной архитектуры
* реализация API (REST, gRPC, асинхронные события) с описанием контрактов (OpenAPI/Swagger), форматов запросов/ответов (JSON/XML)
* написание сложных SQL-запросов, оптимизация производительности запросов к БД, работа с индексами и планами выполнения
* создание модульных и интеграционных тестов с использованием JUnit, Mockito, Testcontainers, применение BDD-подхода (Gherkin/Cucumber) при необходимости
* участие в настройке и поддержке CI/CD-пайплайнов (Bitbucket, Jenkins, Nexus) – написание сборочных скриптов, автоматизация тестирования и развертывания (под руководством старших коллег)
* активное участие в код-ревью: проверка кода коллег, предоставление конструктивной обратной связи, следование стандартам кодирования
* участие в Agile-церемониях (планирование, грумминг, ретроспективы) – декомпозиция задач, оценка трудозатрат
* взаимодействие с системными аналитиками, тестировщиками, DevOps-инженерами и архитекторами для уточнения требований и согласования технических решений
* использование генеративных AI-инструментов и подходов SDD в повседневной разработке (написание кода, тестов, документации).
Требования
* высшее техническое образование
* опыт разработки на Java от 3 (версии 11+)
* уверенное знание Spring Boot (2.x/3.x), PostgreSQL (написание сложных запросов, оптимизация), Apache Kafka (работа с продюсерами/консюмерами, понимание топиков и партиций)
* базовое понимание архитектурных стилей (микросервисная, событийно-ориентированная) и принципов SOLID
* опыт проектирования и реализации REST API, работа с форматами JSON/XML, использование OpenAPI/Swagger для документирования
* опыт написания тестов: JUnit, Mockito, знание Testcontainers для интеграционного тестирования
* понимание BDD-подхода (желательно практическое применение);
* уверенное владение SQL: сложные запросы (JOIN, подзапросы), чтение планов выполнения
* опыт работы с системами контроля версий (Git), сборщиками (Maven/Gradle), таск-трекерами (Jira) и вики (Confluence)
* опыт участия в код-ревью (как автор, так и ревьюер), опыт работы в Agile-командах (Scrum/Kanban), хорошие коммуникативные навыки – умение чётко излагать мысли, аргументировать технические решения в диалоге с коллегами.
**Будет плюсом:**
* опыт разработки на JS, Python, Go, С, C++, Rust
* опыт проектирования и разработки приложений на Сбер Platform V (ППРБ, ЕФС), работа с Java 17/19 и Spring Boot 3
* опыт работы с OpenShift / Kubernetes
* навыки настройки Nginx, знание сетевых протоколов (TCP/IP, TLS)
* опыт работы с React и фронтенд-технологиями (JavaScript, CSS, HTML).
Условия
* комфортный современный офис г. Москва, Вавилова 19
* офисный формат работы
* ежегодный пересмотр зарплаты, годовая премия
* корпоративный спортзал и зоны отдыха
* система обучения для профессионального и карьерного развития
* расширенный полис ДМС с первого дня работы и страхование для семьи
* программа ипотеки для сотрудников
* подписка Прайм с возможностью совместного использования на трёх близких
* вознаграждение за рекомендацию друзей в команду Сбера.
You'll be the product manager who finds that out. You'll talk to customers, use the product in real AI-assisted workflows, test ideas quickly with our designer and engineers, and build the measurement that tells us what's working.
УдалённоseniorRemote-first, with reasonable overlap with EU timezones
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