Software Engineer 3
Навыки
- AWS
- Azure
- CI/CD
- Коммуникация
- Отладка и поиск ошибок
- Google Cloud
- JavaScript
Ещё 8
- Лидерство
- Маркетинговая стратегия
- Machine Learning
- Мониторинг и observability
- Ответственность за результат
- Python
- Salesforce
- SOLID и паттерны
О компании и продукте
- MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.
- With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
- Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
- To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy , we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB , and help us make an impact on the world!
Задачи
- Build and maintain production-quality software that powers martech experiences
- Design and implement backend services, internal tools, automations, and integrations across the martech ecosystem
- Improve system reliability, observability, maintainability, and developer experience across the team’s platforms
- Contribute to experimentation, personalization, and data workflows that support better customer and developer experiences
- Help evaluate and apply AI-enabled capabilities and tools where they can improve engineering velocity, quality, or user experience
- Participate in code reviews, technical design discussions, and team planning
- Take ownership of projects from implementation through rollout, monitoring, and iteration
Требования
- 3+ years of professional software engineering experience building and supporting production systems
- Strong coding skills in one or more modern programming languages such as JavaScript or Python
- Experience building web applications, backend services, APIs, data pipelines, or internal platforms
- Solid understanding of software engineering fundamentals including testing, debugging, code quality, and maintainability
- Experience working with cloud services, CI/CD workflows, and modern development practices
- Ability to work across systems and collaborate effectively with cross-functional partners
- Strong written and verbal communication skills
- Experience partnering with marketing, sales, and revenue operations teams to translate business requirements into clear technical specifications
- Curiosity, ownership, and a practical approach to solving ambiguous problems
Будет плюсом
- Experience working with go-to-market platforms (i.e. Marketo, Salesforce, Segment, Ad Platforms), analytics, or experimentation platforms
- Ability to map lead flows and trace the path a lead takes from website through to opportunity
- Familiarity with data pipelines, event instrumentation, or web performance optimization
- Experience integrating AI or machine learning powered capabilities into products, workflows, or developer tooling
- Comfort using AI-assisted engineering tools thoughtfully to improve delivery speed and quality
- Success in this role
- In your first 3 months
- Build an understanding of the team’s systems, priorities, and engineering standards
- Contribute code to active projects and begin taking ownership of scoped work
- Build strong working relationships with teammates and cross-functional partners
- In your first 6 months
- Independently deliver meaningful features or improvements across one or more team-owned systems
- Improve at least one area of reliability, automation, documentation, or developer workflow
- Contribute actively to technical design conversations
- In your first 12 months
- Be a trusted contributor across the team’s core platforms and workflows
- Own projects end-to-end with strong engineering judgment and cross-functional collaboration
- Help raise the team’s effectiveness through technical improvements, documentation, and peer support
Паспорт вакансии
История публикации
Появилась в Вакандии29 дней
Перепубликациинетпубликовалась один раз
Проверяли на источникеВидели 24 дня назад
Среди похожихНет данных203 из 30 · у похожих вакансий почти одинаковый возраст — сравнивать нечего
Откуда что взялось
Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.
ГрейдMiddleвыведено из другого признака
Формат работыГибридвычитано из текста вакансии
ГеографияГуруграм, Индиявычитано из текста вакансии
Зарплата≈ 16 574 USD в месяцнаша оценка, в вакансии не названа
Почему на этом месте в выдаче
Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.
Полнота карточки1004 из 4 полей: грейд, формат, география, зарплата
Зарплата названа0вилки работодателя нет, показана наша оценка
Проверка Вакандии
Источники и свежесть
- Тип источника
- Карьерный сайт работодателя
- Найдено публикаций
- 1
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- greenhouseОсновная публикация · 2026-08-03
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Отклик уходит на сайт источника
Вакандия показывает вакансию, но не отправляет отклик и не проверяет работодателя. Сам отклик вы оставляете на внешнем сайте — mongodb.com.
Признаки мошенничества
- Просят предоплату, «залог» или деньги за обучение и оборудование.
- Требуют код из SMS, данные банковской карты или доступ к «Госуслугам».
- Быстро уводят в мессенджер и торопят с решением.
- Обещают большой доход без опыта и без деталей задач.
Настоящий работодатель не просит денег и платёжных данных до трудоустройства.
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