Location: Moldova
Company Background
Our client is a market leader in contact center robotic process automation (RPA). Its patented platform automates manual management processes in contact centers, helping enterprises reduce costs while improving agent engagement and customer experience. The platform powers over 1 billion automated actions annually and delivers measurable ROI across industries such as financial services, telecommunications, insurance, and healthcare.
Project Description
The project focuses on deployment, automation, and infrastructure operations for the client’s hosted contact center automation platform. The DevOps Deployment Engineer will work with technically complex environments, supporting application installations, upgrades, releases, hot fixes, and service packs across development, testing, and production. The role involves close collaboration with DevSecOps, development, QA, and operations teams to improve deployment processes, maintain CI/CD pipelines, support infrastructure automation, and ensure reliable monitoring, alerting, and logging for production environments.
Technologies
AWS
Docker, Kubernetes
Terraform
Ansible
Jenkins
Gerrit, Bitbucket
Linux / Windows
Python / Shell / PowerShell
Grafana / ELK
What You'll Do
Collaborate with the DevSecOps team to build, automate, and support deployment pipelines and IaC solutions;
Help plan and coordinate product releases, hot fixes, and service packs across development, test, and production environments;
Improve deployment processes and tools to make releases faster, more reliable, and easier to scale;
Support the implementation and maintenance of monitoring, alerting, and logging solutions to help ensure system health and performance;
Work closely with development, QA, and operations teams to investigate and resolve deployment issues;
Create and maintain clear deployment documentation, runbooks, and best-practice guides to support consistent delivery and knowledge sharing;
Keep up with DevOps, cloud infrastructure, and automation trends, and bring practical ideas to the team;
Follow company’s policies and procedures in all aspects of the role;
Job Requirements
1+ years of experience in DevOps or a similar role, ideally with focus to deployment automation and infrastructure management;
Experience writing scripts or automations using Python, Shell, PowerShell, or similar languages;
Hands-on experience with container technologies such as Docker and orchestration platforms such as Kubernetes;
Familiarity with one or more cloud platforms, including AWS, Azure, or Google Cloud Platform, preferably AWS;
Working knowledge of configuration management tools such as Ansible, Puppet, or Chef;
Understanding of CI/CD principles and experience with tools such as Jenkins, GitLab CI/CD, CircleCI, or similar platforms;
Strong problem-solving skills and the ability to troubleshoot issues in distributed environments;
Clear communication and collaboration skills, with the ability to work effectively in a team-oriented environment;
What Do We Offer
The global benefits package includes:
Technical and non-technical training for professional and personal growth;
Internal conferences and meetups to learn from industry experts;
Support and mentorship from an experienced employee to help you professional grow and development;
Health insurance;
Sports activities to promote a healthy lifestyle;
Flexible work options, including remote and hybrid opportunities;
Referral program for bringing in new talent;
Work anniversary program and additional vacation days.
Moldova
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Location: Remote, United States
At JetBrains, code is our passion. Since we started in 2000, we have strived to make the most effective developer tools on earth so developers can learn fast and make amazing things happen – with code. Customer Success Engineers (CSE) are technical points of contact for JetBrains customers. They work with the JetBrains product teams and customers to ensure that the products meet the needs of our enterprise users, helping our products retain their position as the best on the market.
Many of our customers begin with a set of strategic projects that grow into sizable partnerships. We are looking for
Customer Success Engineers to build great technical relationships with our customers and grow JetBrains' business with focus on Latin America (LATAM).
We care deeply about our customers' success and the quality of our work. In addition to having a passion for working with others, the ideal candidate will be able to deepen our relationships with customers and serve as a technical advisor to them.
In this role, you will:
Work closely with JetBrains Account Executives.
Help customers adopt JetBrains products and services to achieve desired business outcomes. This responsibility may include whiteboarding and assisting with the development of architecture or providing support for overcoming technical and cultural barriers to adoption.
Manage the technical relationships for a portfolio of accounts, and partner with other members of the account team to define and implement the account strategies.
Be the customers’ advocate within JetBrains, representing them to the Support and Product Engineering teams, as well as other groups.
Recommend product enhancements based on your customer experiences and the feedback you receive.
Help product teams present and evaluate new product ideas to the customers in your portfolio.
Act as a trusted technical advisor to customers, staying up to date on the ever-evolving state of technology both within JetBrains and in the field at large.
Work with Sales to facilitate account expansions by developing short-term and long-term account plans that meet customer needs.
We will be happy to have you on our team if you have:
Proven experience in technical consulting, technical customer success, or other customer-facing technical roles.
Strong verbal and written communication skills in
English and either Portuguese or Spanish
.
Extensive experience in software development, QA, IT, DevOps, ML, or any related IT field – the wider the variety of fields, the better.
Hands-on knowledge of AI/LLMs in the field of software development.
A passion for continually improving the customer experience.
Exceptional presentation skills for demonstrating JetBrains products to customers.
The ability to quickly identify and address technical and business challenges related to software development tooling.
The ability to convey technical concepts to customers of all technical backgrounds.
Comfort in a fast-paced and dynamic working environment.
Experience working in or with large software development teams.
A collaborative and team-focused mentality, with a willingness to take initiative.
Self-direction and resourcefulness.
The ability to travel approximately 25% of the time.
#LI-HYBRID
#LI-JP1
#LI-REMOTE
This range reflects the employer’s good-faith estimate of the base salary it reasonably expects to pay for the position at the time of posting. Starting pay within the range will be determined based on job-related factors such as skills, qualifications, experience, and work location.
This position may also be eligible for additional compensation, such as an annual bonus, commission, or other incentive compensation, subject to the terms of the applicable plan or program.
The base salary range (per year) for this position in the posted work location(s) is
$100,000
—
$200,000 USD
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the
Recruitment Privacy Policy.
Задачи:
— модернизация алгоритмов наведения, навигации и управления
— улучшение симуляций
— руководство технической разработкой лунной системы
Требования и условия в тексте не указаны.
AlphaPoint is looking for a Tech Ops Engineer to maintain customer-system uptime, operate infrastructure, automate core tasks, and protect data assets.
Gradial is looking for a Principal Security Engineer Product and Platform to lead product and platform security, harden cloud infrastructure, and drive incident response.
— Разрабатывать CV/ML-решения для преобразования чертежей в структурированные инженерные данные. — Работать с OCR, raster/vector geometry, CAD/BIM и пространственными связями.
Задачи:
— Поддержка и снижение трения при онбординге разработчиков через создание примеров кода, отладку, взаимодействие с партнерами и поддержку в сообществах.
— Представление Storyblok, рассказ о возможностях и функциях.
— Помощь внешним разработчикам в решении проблем с функционалом через плагины, инструменты, приложения или скрипты.
— Мониторинг сообществ на Discord, Twitter, LinkedIn и Dev.to для выявления нового контента.
— Проведение воркшопов, написание туториалов и документации, участие в вебинарах, создание видеоинструкций и демонстрация продукта.
— Написание примерных приложений, прототипов и образцов кода для демонстрации возможностей Storyblok.
— Идентификация и документирование недостающих функций и технических проблем в API, SDK и сервисах Storyblok.
— Внесение обновлений и исправлений в открытые проекты Storyblok.
— Предложение новых или улучшенных функций на основе взаимодействия с клиентами и сообществом.
— Представление Storyblok на онлайн и офлайн мероприятиях, участие в спонсируемых событиях.
— Руководство дорожной картой документации, туториалов и онбординга.
Требования:
— Опыт веб-разработки 5+ лет.
— Опыт работы с CMS, желательно с Headless CMS.
— Глубокие знания RESTful API; знание GraphQL будет плюсом.
— Знание хотя бы одного современного JavaScript-фреймворка (Vue, React, Next, Nuxt, Astro, Svelte).
— Опыт публичных выступлений и организации мероприятий.
— Хорошие навыки решения проблем и критического мышления.
— Свободное владение английским языком.
— Умение эффективно коммуницировать с разными заинтересованными сторонами.
— Уверенность, внимательность к деталям и мотивация для роста компании.
Желательный опыт:
— Работа с поддержкой разработчиков, звонки с клиентами, деятельность в области developer relations.
— Техническое письмо.
Условия:
— Полностью удалённая работа с ежемесячной компенсацией расходов на интернет и электричество.
— Пакет оборудования для домашнего офиса при начале работы и возможность обновления.
— Оплачиваемый больничный, декретный отпуск, 25 дней отпуска и национальные праздники.
— Фонд личного развития на курсы, книги, конференции.
— Международные командные мероприятия и регулярные онлайн встречи.
— Гибкий график работы.
— Работа в международной команде.
Зарплата:
— Диапазон базовой зарплаты $102,900 - $140,000 в год.
Контакт для адаптации процесса подачи заявки: talent.acquisition@storyblok.com
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You will be helping build a video-processing pipeline, picking up well-scoped tasks and delivering them at pace. • Hands-on experience with FFmpeg and video/image processing.
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- Strong hands-on experience with Databricks, especially Databricks Jobs. - Advanced Python skills, writing notebooks daily from ingestion to the gold layer.
Location: Hybrid - San Francisco, New York City
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
We are looking for a Machine Learning Engineer on our Trust & Safety Engineering team to build and operate the production systems that detect and stop abuse on the platform at internet scale. This is an engineering-first role, roughly 80% writing and shipping production code (services, pipelines, and infrastructure) and 20% modeling, taking detection and classification approaches from prototype to hardened systems. This is a hybrid role based in San Francisco or New York City, with three days a week in the office.
What you’ll do
Design, build, and operate production systems that detect and disrupt abusive behavior across the platform, with an emphasis on reliability, scalability, and observability
Build and maintain machine learning (ML) infrastructure, including training pipelines, feature pipelines, serving infrastructure, and evaluation frameworks
Ship large language model (LLM) and classical ML approaches for abuse detection and classification, turning prototypes into maintainable code
Own systems end to end, from integrating a model into the platform through deployment, monitoring, and iteration
Work with security, product, and infrastructure teams to turn abuse patterns and detection logic into production systems
What you need
5+ years of software engineering experience building and operating production systems at scale
Wrote production code in Python, plus JavaScript/TypeScript or Go
Built and maintained ML infrastructure, such as training and serving pipelines, feature stores, or evaluation tooling
Integrated LLMs into production systems, including prompt engineering and evaluation
Bonus if you
Built an open source ML tool
Worked in the trust and safety, fraud, or abuse prevention domain
Compensation & Benefits:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $208,000.00 - $312,000.00. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Кандидату в команду поиска предстоит: - Разрабатывать и поддерживать поисковые сервисы по полному циклу жизни объявлений: от индексации до финального ранжирования и пайплайна learning to rank.
Jito Labs is looking for a Senior Security Engineer Product to secure products and protocols, lead security reviews, harden deployments, and manage vulnerability risks.
Xsolla is looking for a Staff Software Engineer Smart Wallet and Account Abstraction to lead wallet architecture, account abstraction, and custody systems.