Требования:
▫️Data Platform: Microsoft Fabric (OneLake, Data Factory, Synapse Data Engineering / Data Warehouse)
▫️Data Engineering: Apache Spark / PySpark, Azure Data Factory, Dataflow Gen2, ETL/ELT
▫️Programming: Python, SQL / T-SQL
▫️Architecture & Storage: Lakehouse / DWH, Medallion Architecture (Bronze / Silver / Gold), Delta Lake / Parquet
▫️Cloud: Microsoft Azure, AWS S3 / GCP, Fabric Shortcuts
▫️DevOps: Git, Azure DevOps / GitHub Actions, Docker, CI/CD
▫️Data Analytics: Data Marts, relational data modeling, Power BI - буде преимуществом
▫️Английский: В2+
Основные задачи:
▫️Архитектура Lakehouse / DWH
Проектирование и построение end-to-end архитектуры хранилища данных с нуля в среде Microsoft Fabric.
Реализация многоуровневой архитектуры хранения данных по модели Medallion — Bronze, Silver, Gold — на основе Delta Lake (Parquet).
▫️Разработка ETL/ELT-пайплайнов
Создание и поддержка надёжных и отказоустойчивых pipelines для интеграции данных с использованием Azure Data Factory и Dataflow Gen2.
Настройка подключений к внешним облачным источникам AWS S3 / GCP через Fabric Shortcuts.
▫️Обработка больших данных
Разработка и оптимизация высокопроизводительного распределённого кода на PySpark для очистки данных, сложных трансформаций и агрегации больших объёмов информации.
▫️Проектирование Data Marts и работа с T-SQL
Проектирование реляционных моделей данных и аналитических представлений в Synapse Data Warehouse.
Оптимизация сложных T-SQL-запросов для достижения минимальной задержки.
▫️Автоматизация и CI/CD
Настройка процессов Continuous Integration и Continuous Deployment с использованием Azure DevOps / GitHub Actions для автоматизации развёртывания инфраструктуры DWH, схем и кода.
Требования:
▫️Data Platform: Microsoft Fabric (OneLake, Data Factory, Synapse Data Engineering / Data Warehouse)
▫️Data Engineering: Apache Spark / PySpark, Azure Data Factory, Dataflow Gen2, ETL/ELT
▫️Programming: Python, SQL / T-SQL
▫️Architecture & Storage: Lakehouse / DWH, Medallion Architecture (Bronze / Silver / Gold), Delta Lake / Parquet
▫️Cloud: Microsoft Azure, AWS S3 / GCP, Fabric Shortcuts
▫️DevOps: Git, Azure DevOps / GitHub Actions, Docker, CI/CD
▫️Data Analytics: Data Marts, relational data modeling, Power BI - будет преимуществом
▫️Английский: В2+
Основные задачи:
▫️Архитектура Lakehouse / DWH
Проектирование и построение end-to-end архитектуры хранилища данных с нуля в среде Microsoft Fabric.
Реализация многоуровневой архитектуры хранения данных по модели Medallion — Bronze, Silver, Gold — на основе Delta Lake (Parquet).
▫️Разработка ETL/ELT-пайплайнов
Создание и поддержка надёжных и отказоустойчивых pipelines для интеграции данных с использованием Azure Data Factory и Dataflow Gen2.
Настройка подключений к внешним облачным источникам AWS S3 / GCP через Fabric Shortcuts.
▫️Обработка больших данных
Разработка и оптимизация высокопроизводительного распределённого кода на PySpark для очистки данных, сложных трансформаций и агрегации больших объёмов информации.
▫️Проектирование Data Marts и работа с T-SQL
Проектирование реляционных моделей данных и аналитических представлений в Synapse Data Warehouse.
Оптимизация сложных T-SQL-запросов для достижения минимальной задержки.
▫️Автоматизация и CI/CD
Настройка процессов Continuous Integration и Continuous Deployment с использованием Azure DevOps / GitHub Actions для автоматизации развёртывания инфраструктуры DWH, схем и кода.
Location: Москва
Центр Киберзащиты Сбербанка ищет высококвалифицированного специалиста, обладающего знаниями в области управления уязвимостями. Наши сотрудники отвечают за выявление уязвимостей, организацию и контроль их устранения. Вы будете работать в одном из крупнейших и наиболее технологичных ситуационных центров кибербезопасности нашей страны, обеспечивая защиту критической инфраструктуры банка и клиентов от современных угроз.
Обязанности
### Вам предстоит:
* анализ уязвимостей, оценка применимости к инфраструктуре, приоритизация и постановка задач на их устранение
* анализ и валидация результатов сканирования, устранение ложных срабатываний (false positive)
* проработка автоматизированных пайплайнов (в том числе с использованием AI-агентов и LLM API) для этапов процесса управления уязвимостями
* контроль процесса устранения уязвимостей во взаимодействии с владельцами систем и ИТ-подразделениями, отслеживание SLA
* выявление уязвимостей конфигураций (compliance), в том числе разработка автоматизированных проверок (bash, oval)
* формирование и актуализация методологии и регламентов процесса управления уязвимостями (Vulnerability Management Lifecycle)
* участие в процессе регулярного сканирования инфраструктуры (сеть, серверы, рабочие станции, СУБД, веб-приложения) с использованием специализированных сканеров уязвимостей
* подготовка аналитической и управленческой отчетности (метрики, дашборды, KPI) по состоянию уязвимостей для руководства
* взаимодействие со смежными командами Threat Intelligence, Use Case Management, Red Team, SOC для реализации этапов процесса управления уязвимостями.
Требования
### Что для нас важно:
* высшее техническое образование в области информационной безопасности или ИТ
* знание жизненного цикла процесса управления уязвимостями (Vulnerability Management Lifecycle, CTEM)
* понимание методик оценки критичности уязвимостей (CVSS v3/v4, EPSS), знание баз CVE, CWE
* понимание базовых принципов работы больших языковых моделей (LLM) и практический опыт использования ИИ-инструментов (ChatGPT, Claude, Copilot и др.) для ускорения аналитической работы
* опыт работы со сканерами уязвимостей (Tenable Nessus, MaxPatrol, RedCheck и др.)
* уверенное знание архитектуры ОС Linux, технологий контейнеризации (Kubernetes), сетевых протоколов и типовой сетевой инфраструктуры
* понимание принципов патч-менеджмента и работы систем управления обновлениями (WSUS, SCCM, Ansible и др.)
* опыт анализа результатов сканирования и составления приоритизированных планов устранения уязвимостей
* опыт организации процесса compliance, реализация требований стандартов и регуляторов, выявления несоответствий, планирования и контроля их устранения
* знание основ работы веб-приложений, СУБД и сетевого оборудования с точки зрения типовых уязвимостей
* опыт работы с системами Asset Management / CMDB
* опыт построения дашбордов и отчетности (Qlik Sense, Power BI, Grafana, Kibana и др.)
* владение английским языком (уровень B2 и выше) — для чтения технической документации и security-бюллетеней.
**Желательно:**
* уверенное владение Python или другим языком сценариев для автоматизации процессов
* опыт участия в тестах на проникновение или анализе защищенности инфраструктуры
* понимание принципов работы EDR/XDR и WAF-решений.
Д**ополнительное преимущество:**
* знание международных стандартов в области ИБ (ISO 27001, NIST SP 800-40, PCI DSS)
* наличие сертификатов: CEH, OSCP, ITIL и т.д.
* опыт работы в крупной компании в области информационной безопасности — не менее 3 лет.
Условия
### Мы предлагаем:
комфортный современный офис
офисный формат работы
ежегодный пересмотр зарплаты, годовая премия
корпоративный спортзал и зоны отдыха
более 400 образовательных программ СберУниверситета для профессионального и карьерного развития
программа адаптации и помощь руководителя на старте
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: Kyiv; Chișinău
Workplace: onsite
Ajax Systems is an international tech company and the largest manufacturer of security systems in Europe, with over 4.5 million end users and 330K PRO users in more than 180 countries worldwide. The company offers end-to-end solutions for protecting homes and businesses оf any scale. To date, Ajax's product portfolio includes 280 devices for intrusion protection, video surveillance, fire and life safety, and comfort and automation. The company employs 5, 000 specialists.
We develop local teams because we understand that local experts best comprehend market specifics. The company has sales representatives worldwide, including Italy, Spain, Germany, France, the United Kingdom, the USA, Australia, South Africa, and other regions. The Global Business Development team is like-minded people who share the ambitious goals of Ajax Systems.
The best software combined with powerful hardware has forever changed the perception of security systems for users and industry professionals. Being recognized at the biggest specialized exhibitions such as IFSEC, Expoprotection and Intersec, as well as winning prestigious awards from industry-leading media like PSI magazine and GIT SECURITY, today Ajax is one of the most awarded security systems in Europe.
Ajax Systems' production includes four factories, two of which are located in Ukraine, one in Turkey, and one in Vietnam. At the same time, the company's certification according to the ISO 14001 standard ensures a minimal impact of production on the environment. The selection of components for Ajax device manufacturing is determined by the presence of manufacturer declarations confirming compliance with RoHS requirements.
The company emerged against the backdrop of revolution and war. That's why resilience is the cornerstone of the brand's DNA, and the fight against evil by creating the best security and automation devices is Ajax's unwavering mission.
Key Responsibilities
1. Outbound End-to-End Finished Goods Distribution
Managing regular dispatches of security systems from regional distribution centers (RDCs) to customers and authorized distributors worldwide (EU, UK, US, MEA, APAC, LatAm).
Coordinating logistics operations between manufacturing facilities and global distribution centers.
Maintaining target SLAs and performance metrics: OTIF (On-Time In-Full), Order Lead Time, and cargo integrity in transit.
2. Export Compliance & Customs Clearance
Coordinating export procedures from the EU customs territory via Polish customs systems (AES/ECS2, NCTS, PUESC services).
Collaborating with customs brokers and agencies: preparing full document sets (Commercial Invoice, Packing List, EUR.1, ATR, Export Declaration / IE-599 confirmation message).
Managing electronics shipment compliance: classification by HS/CN codes, export control rules, and adherence to dangerous goods regulations for built-in lithium-ion/lithium-metal batteries (ADR / IATA DGR).
3. 3PL/4PL & Carrier Management
Managing contracts and relationships with international line-haul carriers (Road FTL/LTL, Air Freight) and express integrators (DHL, FedEx, UPS).
Conducting regular KPI performance audits and managing claims for cargo loss or damage (Claims Management).
Participating in freight procurement tenders to optimize transport costs from the Polish distribution hub.
4. Freight Cost Optimization & Budgeting
Tracking and optimizing the cost per unit delivered.
Streamlining freight consolidation to balance cost and delivery speed across diverse geographic regions.
5. Distribution Center Operations Alignment
Aligning dispatch schedules with the warehouse/WMS team (dispatch windows, truck loading time slots, order picking/packing control).
Implementing and supporting BPM 4.0 initiatives: cargo tracking automation (Real-time Visibility), carrier EDI/API integrations, and eliminating manual document processing.
6. Supply Chain Resilience & Risk Management
Formulating contingency plans and alternative routing during border blockades, carrier peak seasons, and geopolitical disruptions.
Candidate Requirements
1. Experience & Industry Expertise
3–5+ years in export or distribution logistics originating from Poland/EU (preference for Consumer Electronics, High-Tech, IoT, Automotive, or global FMCG).
Practical experience managing multimodal shipments (cross-border road freight, air cargo, courier express).
2. Customs & Regulatory Knowledge
Advanced mastery of Incoterms 2020 (specifically DAP, DPU, CPT, FCA, DDP).
Comprehensive understanding of EU customs regulations (Union Customs Code /
Unijny Kodeks Celny
), intra-Community supplies (WDT), and exports to third countries.
Working knowledge of transport regulations for battery-powered devices (Lithium Batteries Section II / ADR / IATA DGR).
3. Language Skills
English:
Upper-Intermediate / Advanced (B2+) — professional correspondence, commercial negotiations, and resolving operational escalations with global partners.
Ukrainian/russian:
Native / Fluent.
4. Analytical & Technical Skills
Advanced MS Excel proficiency (Power Query, Pivot Tables, financial/cost modeling) and BI tools (Power BI / Tableau).
Practical experience working in ERP systems (SAP, Microsoft Dynamics, or equivalents), modern WMS/TMS solutions, and Jira/Confluence.
5. Lean & Soft Skills
Practical application of Lean principles (eliminating transportation waste, idle time, and over-processing).
High stress tolerance, strong service orientation (OTIF-driven mindset), and autonomous decision-making under tight deadlines.
We offer
Competitive compensation.
Freedom to make decisions and implement ideas.
A zero-bullshit culture.
A strong and well-coordinated team of professionals.
Ambitious tasks and challenges.
Opportunity to work with the most recognized security system and develop your career.
We are working to ensure that people's lives are calm and the world is safe.
Let's become a part of the team that creates a smart and useful global product!
Задачи:
— Управлять командами продаж и аккаунт-менеджмента: выстраивать работу, ставить цели, контролировать выполнение показателей;
— Разрабатывать go-to-market стратегию: приоритетные вертикали, гео-приоритеты, поиск новых сегментов и рынков роста;
— Выстраивать сквозные процессы полного жизненного цикла клиента: лидогенерация - sales - onboarding - запуск - масштабирование - удержание - реактивация;
— Внедрять и развивать CRM-систему для коммерческого блока: воронки, автоматизация, интеграция между sales и account management;
— Лично вести переговоры и весь цикл сделки по крупным клиентам: discovery, коммерческое предложение, согласование условий, эскалации;
— Повышать операционную эффективность команды: сокращать время реакции на клиента, увеличивать конверсию между этапами воронки;
— Внедрять метрики эффективности работы сотрудников (нагрузка, конверсия, скорость обработки заявок) и использовать их для принятия управленческих решений;
— Быть внутренним экспертом по продукту и рынку programmatic для команды: обучать сейлзов и АМ работе с RTB-механиками, продуктовым функционалом, аргументацией для сложных клиентов;
— Формировать регулярную отчетность и презентовать результаты коммерческого блока перед руководством.
Требования:
— Опыт на позиции Head of Sales в AdTech, Affiliate Marketing, DSP, SSP, рекламной сети или performance-маркетинге от 3 лет;
— Подтвержденный опыт управления многоуровневой командой, включая найм и масштабирование команды с нуля или почти с нуля;
— Опыт одновременной ответственности за new business и retention/growth текущей базы;
— Глубокое понимание рекламных и коммерческих метрик: CPA, CPC, CPM, CPL, CTR, eCPM, ROI, eCPA, ROAS, Win Rate, Fill Rate, CAC, NPS;
— Уверенное владение продуктовыми метриками: Retention Rate, Churn Rate, ARPU, LTV, CAC;
— Уверенное владение Excel/Google Sheets, BI-системами (Grafana, Tableau, Power BI) будет преимуществом;
— Английский язык Intermediate и выше будет преимуществом.
Будет плюсом:
— Опыт работы с международными рекламодателями и байерами;
— Понимание принципов работы RTB, DSP, SSP;
— Опыт презентации результатов и стратегии перед руководством.
Условия:
— Конкурентная заработная плата, которая обсуждается с каждым кандидатом индивидуально;
— Формат работы удаленно;
— Гибкое начало рабочего дня: работа с понедельника по пятницу, возможность выбора времени начала рабочего дня, без жесткого контроля за графиком, главное выполнение задач вовремя;
— Здоровые взаимоотношения: честность и открытость, всесторонняя поддержка сотрудникам;
— Обучение и развитие: обмен опытом внутри команды, софинансирование профессионального обучения, возможность получения карьерных консультаций и индивидуальный план развития внутри компании.
Требования:
— Опыт от 3х лет
— Опыт анализа кредитного портфеля, розничные риски, розничные кредиты, займы
— SQL, Python
— Навык построения отчетности в Power BI будет плюсом
— Владение Excel на высоком уровне (в том числе сложные формулы, сводные таблицы)
— Высшее образование
— Гражданство РФ
Обязанности:
• Глубокий анализ кредитного портфеля: оценка структуры, качества и динамики кредитного портфеля.
• Мониторинг рисковых параметров, выявление и прогнозирование проблемных сегментов заемщиков.
• Оптимизация продуктового предложения: анализ влияния продуктовой стратегии на показатели портфеля.
• Эксперименты и принятие решений: проведение и аналитика A/B тестов для оценки эффективности продуктовых и маркетинговых решений.
• Поиск и оценка новых источников данных для улучшения качества принятия решений.
• Макроэкономический анализ: оценка влияния макроэкономических факторов на кредитный портфель.
• Кросс-функциональное взаимодействие: тесное сотрудничество со смежными подразделениями (продукты, взыскание, маркетинг) для оптимизации общих бизнес-процессов.
• Отчетность: подготовка регулярных и ad-hoc отчетов о состоянии кредитного портфеля для руководства.
Location: United States of America
What We Do:
Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact.
Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection.
Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other.
Reports to: Director, Engineering
Location: Remote US, Only
Compensation:
$215,000 to $240,000 base plus bonus and equity
What You’ll Do:
Huntress is building an Agentic SOC. When our detection pipeline raises a signal, an LLM-based agent picks it up and investigates it end-to-end. It gathers telemetry across our products, reconstructs what happened, and makes a well-documented determination about whether the activity is malicious. Over time, it will take on more of the work itself, growing from resolving routine cases to acting fast when it finds an attack and handing analysts cases with the evidence already assembled. We’re hiring a Principal Software Engineer to head this effort.
This system is meant to augment our analysts, not replace them. It takes the high-volume, repetitive work off their plates so they can focus on complex cases and hands-on keyboard intrusions where human expertise matters most. It also reduces toil in the rest of their day by using LLMs to pre-process the output of the tools analysts use constantly, so they start from a clear picture instead of raw telemetry.
This isn’t a chatbot bolted onto a dashboard. The system investigates a large volume of signals a day across thousands of customer organizations. Many signals are benign, but some are live intrusions where minutes matter. The telemetry the system reads comes from environments in which attackers are actively operating. Because the system makes real decisions, like closing an investigation or isolating a host, it has to be right, it has to show its work, and it has to know when to hand off to a person.
As the technical lead, you’ll own the system’s architecture and direction. That means deciding how an investigation is structured, where deterministic code ends and model reasoning begins, what the agent can and can’t touch, how we know it’s working, and which decisions it makes on its own as it proves itself. You’ll work closely with SOC analysts, detection engineers, product, and other engineering teams. You’ll go deep in the code and help the engineers around you grow. Your work will directly shape how Huntress scales
protection for the 99%
.
We make full use of AI coding tools to enable you to accelerate your development. We don’t cap token usage. We expect you to use AI and all tools responsibly.
Responsibilities:
Own the architecture of agentic investigation. You help define how signals move from detection into investigation, how investigation state is managed, how tools are designed and exposed to agents, and what a finished investigation contains: the verdict, the timeline, the scope, and the evidence behind every claim. When the team is stuck between options, you make the call, and the foundations you set are what others build on for years.
Build agents that investigate like a strong analyst. You work alongside our SOC and product researchers to learn how experienced analysts actually triage and investigate, then turn that into agent behavior: which questions to ask, which evidence to gather, when to dig deeper, and when to stop and hand off to a human.
Take toil off analysts’ plates. Beyond full investigations, you build LLM-powered pre-processing for the tools and data sources analysts rely on every day. It summarizes, correlates, and highlights what matters, so analysts spend their time on judgment instead of assembly.
Bring a security mindset to the agent itself. The agent reads attacker-influenced data, runs across thousands of customer tenants, and can take action in customer environments. You design as if someone is trying to manipulate it, because someone will. Trust boundaries, tenant isolation, and auditability are part of the architecture from the start.
Treat evaluation as a core part of the product. You define how we measure whether an investigation is correct, well-reasoned, and well-documented, and you make sure no prompt, model, or tool changes without evidence that it helps.
Decide with data what the system does on its own. Based on measured performance, you decide where it acts autonomously, where a person reviews its work, and how that changes over time. You also recognize when a problem doesn’t need an agent at all.
Build for production, not for demos. You design for reliability, latency, and cost at scale. The system keeps working when models are slow, wrong, unavailable, or quietly changed underneath you, and anyone can trace exactly why an investigation reached its conclusion or why an action was taken.
Augment analysts, don’t replace them. You design the handoff between agent and analyst so that when a case reaches a person, the agent’s work makes them faster and better informed. You consider how analysts’ work changes as agents take on more of it, and how we explain agent decisions to partners and customers in a way they can trust.
Prototype your way through hard problems. When the team hits something genuinely uncertain, you dig in first: derisk it, prove out the approach, then hand it off clearly.
Be the engineering face of the Agentic SOC. In conversations with SOC leadership, other engineering teams, product, and executives, you represent the team’s technical perspective clearly and credibly. You drive alignment on key decisions, carry context in both directions, and protect the team from unclear scope.
Balance technical rigor with pragmatism. You push back when a shortcut creates real risk, and you also push back on over-engineering when the goal is discovery. You have a bias for action and frequent feedback from analysts and customers, and you can explain your tradeoffs to engineers and non-engineers alike.
Raise the floor and the ceiling. Your technical leadership is measured by how the whole team performs, not just by what you personally ship. That shows up in thoughtful code review, pairing on problems others are stuck on, and creating leverage through better patterns, tooling, and shared understanding. You partner with the engineering manager on team health, give direct feedback, and model the judgment and accountability you want the team to have.
What You Bring To The Team:
15+ years of experience developing complex software products, including significant time as the technical lead on production systems
Hands-on experience designing, shipping, and operating LLM-based agents in production, covering tool use, context management, structured output, guardrails, and evaluation, along with a clear-eyed understanding of how they fail
A track record of building evaluation for non-deterministic systems, such as labeled datasets, offline evals, and regression gates, and of measuring quality over time rather than at launch
A security mindset: experience building systems that handle untrusted input, enforce multi-tenant isolation, and produce an audit trail that holds up under scrutiny
Experience building systems that make automated decisions with real consequences, and the judgment to know what to automate and what to leave to people
Curiosity about how security analysts think and work, and a willingness to spend real time learning from them
Deep backend expertise in distributed systems, queues, and durable workflows, and concurrency, with a track record of designing for throughput and correctness under load
Strong skills in one or more backend languages and the ability to pick up new ones quickly. Our primary stack is Ruby on Rails, and we expect you to become fluent in it
Experience with AWS, Azure, or other public cloud environments, and with data stores such as Postgres and Redis
Experience with AI coding tools, such as Claude Code
BS or MS in Computer Science or Engineering, or equivalent experience
Bonus Points:
Experience working in or building for a SOC, incident response, threat hunting, or detection engineering. It isn’t required, but it helps a lot, because we build these workflows around how our analysts actually investigate
Familiarity with endpoint and identity telemetry and with attacker tradecraft
Experience attacking or adversarially testing ML or LLM systems
Experience with Ruby on Rails
What We Offer:
100% remote work environment - since our founding in 2015
Generous paid time off policy, including vacation, sick time, and paid holidays
12 weeks of paid parental leave
Highly competitive and comprehensive medical, dental, and vision benefits plans
401(k) with a 5% contribution regardless of employee contribution
Life and Disability insurance plans
Stock options for
all
full-time employees
One-time $500 reimbursement for building/upgrading home office
Annual allowance for education and professional development assistance
$75 USD/month digital reimbursement
Access to the BetterUp platform for coaching, personal, and professional growth
Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are.
We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status.
We do discriminate against hackers who try to exploit businesses of all sizes.
Accommodations:
If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to
accommodations@huntresslabs.com
. Please note that non-accommodation requests to this inbox will not receive a response.
Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our
Candidate Privacy Notice
for more details on our practices and your data privacy rights.
#BI-Remote
Задачи:
— null
Требования:
— Опыт работы с Power BI (дашборды, DAX, модели) не менее 3х лет
— Уверенный SQL (joins, window functions, оптимизация)
— Опыт работы с ETL/ELT процессами
— Опыт работы с реляционными БД (PostgreSQL / MS SQL / др.)
— Опыт построения Tabular OLAP-кубов (SSAS / Azure Analysis Services / др.)
— Опыт работы с облаками (Azure / AWS / GCP)
Условия:
— Гибридный или удаленный график работы, но полная загрузка
— Только штат и полная занятость, без возможности работать с ИП
— Добровольное медицинское страхование и страхование жизни (ДМС)
— Ежегодный пересмотр заработной платы
— Годовой бонус 15%
— Корпоративные скидки
Location: Otsego, MN
Technical Solution Specialist
Michels Energy Group, Inc.
Location: Otsego, MN | Full-time
Safely delivering natural gas to customers is challenging yet satisfying. It takes teamwork, dedication, and innovation – traits so engrained in
Michels Energy Group, Inc.
that they are key elements of our Core Values.
As a leading utility contractor, Michels Energy Group, Inc.
has a reputation for safety and quality while building and maintaining our counties infrastructure.
Our work improves lives. Discover how a career at
Michels Energy Group, Inc.
can change yours.
Position Summary
As a
Technical Solution Specialist
, you will be
responsible for providing technical support and guidance to internal and external customers of Michels. This position will work with various stakeholders to understand their business needs and deliver effective and innovative technology solutions.
In addition, this role
will be involved in the design, development, testing, and deployment of custom applications, integrations, and enhancements for MPI systems and data processes.
Critical for success are strong communication and organizational skills,
self-motivation
, and the abili
ty to work
independently
.
Why Michels Energy Group, Inc.?
We are consistently ranked among the
top 10% of Engineering News-Record’s Top 400 Contractors
Our steady, strategic growth revolves around a commitment to quality.
Family‑owned and operated organization with long‑term stability
We invest an average of
$5,000 per employee per year
in training and career development.
We perform
high-impact, essential work
that supports homes, businesses, and communities.
A culture where
everyone shares responsibility for safety
, regardless of title
We’re part of the Michels family of companies—one of North America’s largest and most diversified energy and infrastructure contractors.
We offer a
comprehensive benefits
program including:
Health, Dental, and Life Insurance
Flexible Spending Accounts (FSA) and Health Savings Account (HSA)
Short- and Long-Term Disability Insurance
401(k) Retirement Plan
Legal Assistance and Identity Theft Protection Plans
(Benefits may vary based on position and location)
Why You?
You like to surround yourself with dedicated, value-driven people.
You thrive on new challenges and evolving technologies.
You think “we’ve always done it this way” is not a good enough reason.
You want to know your efforts are recognized and appreciated.
You like making your own decisions—with the right support.
You want to be part of a team that improves lives through essential infrastructure.
What It Takes
As
sociate degree Computer Science, Information Technology, or a related field, and 1-3 years of related experience, or an equivalent combination
E
xperience with Power BI, Power Apps, Monday.com and other Microsoft Power Platform tools
Desired Qualifications
B
achelor’s
degree
in
Computer
Science
or
a
related
field
E
xperience with administration of IT systems
or
other
business
initiatives
Join a company that powers progress. Be a part of Michels Energy Group, Inc.— where you don’t just build projects, you build a career.
#LI-RR1
This information reflects the anticipated base salary for this position based on current market data. Minimums and maximums may vary based on location. Actual pay will be adjusted based on individual’s skills, experiences, education, and other job-related factors permitted by law.
Expected Salary Range
$63,000
—
$77,000 USD
AA/EOE/M/W/Vet/Disability
https://www.michels.us/website-user-privacy-policy/
Location: Paris, France
Workplace: Hybrid
We’re a team of experts pushing the limits of what’s possible, united by our common goal to unlock true freedom through digital ownership, making technology accessible for all. We believe in a world where users, creators and enterprises manage their value with ownership and freedom. Our curiosity drives us to innovate, empowering individuals on a global scale. We believe change is constant and our team moves forward as one, with a culture of problem-solving where every employee is empowered and supported to challenge tradition and create solutions. Our mission is simple: to make self-custody accessible and give people the keys to their own financial futures. If you want to make a true impact, we want you to join us at Ledger.
At Ledger, we’re proud to be the global platform for digital assets and Web3, with over 20% of the world’s crypto assets secured through our Ledger devices. With our headquarters in Paris, and offices in Vierzon, Grenoble, Montpellier, London, Portland, Geneva, Zurich and Central Singapore, we have a team of around 600 professionals developing a variety of products and services to enable individuals and companies to securely buy, store, swap, grow and manage crypto assets – including the Ledger hardware wallets line with more than 7.5 millions units already sold in 200 countries.
The team
To sustain the company's growth, Ledger is looking for a Senior Scala Backend Engineer to join the Cloud Wallet team. This team builds and operates the backend services that power blockchain account management, transaction processing and on-chain data aggregation across all Ledger wallet surfaces, from Ledger Live to Ledger Enterprise, the custody platform used by financial institutions. Every client transaction goes through these services, and so does every new blockchain Ledger supports. We believe in the power of functional programming to build robust and scalable platforms. We take time to share, challenge, and grow together through bi-weekly knowledge-sharing sessions, meetups, conferences, and open source contributions.
What you’ll be doing
- Design, build and operate the Scala services that connect Ledger wallets and the Ledger Enterprise platform to blockchain backends: account creation, operation history, transaction crafting, broadcast and lifecycle tracking.
- Lead new blockchain integrations end to end, from the integration design (ADR) to production, across account-based, UTXO and privacy-preserving chains.
- Own production quality on your scope: SLIs and SLOs, observability, distributed tracing. Take part in the firefighting rotation and drive incidents to resolution, including those raised by institutional clients.
- Define clear contracts with the Coin Integration and Ledger Enterprise teams, for example where UTXO selection lives or how transaction states are exposed to consumers.
- Write and review ADRs, challenge designs, and raise the bar on code quality, testing (including end-to-end on testnets) and technical debt management.
- Work in an AI-native way: use coding agents daily, write the specifications, constraints and verification that let them deliver safely, and contribute to the team's AI tooling.
- Mentor other engineers and share your knowledge across the Backend Blockchain community.
You will collaborate cross-functionally with:
- The Coin Integration team for coin modules and new blockchain integrations.
- The Ledger Enterprise team, main consumer of the team's services for institutional custody.
- The Ledger Wallet, Ledger Button and Wallet XP teams as consumers of the team's backend APIs.
- The Blockchain platform team for data model alignment, indexing and event streaming.
- The Infrastructure and SRE teams for deployment, reliability and scalability.
- The Security team (Donjon) for vulnerability analysis and remediation.
- The Product team for roadmap prioritization and customer-driven requirements.
What we’re looking for
- 5+ years of backend engineering, with real production ownership of distributed systems.
- Strong production experience
- Interest for Scala and functional programming practice
- Hands-on blockchain integration experience: transaction lifecycle, fees, finality, reorgs, on at least two models among account-based, UTXO and privacy-preserving chains.
- Experience with event-driven systems and data infrastructure (PostgreSQL, RabbitMQ, NATS or equivalent) and with observability tooling (Datadog or equivalent).
- Able to diagnose an incident across several services and own the outcome, from root cause to fix in production.
- Comfortable reading and contributing to TypeScript code, as the team works on a polyglot stack.
- Daily use of AI coding tools, with a critical eye on their output.
- Clear written communication in English, especially for design documents and incident reports.
At Ledger, we are dedicated to continually investing in our employees which is why we offer more than just salaries; we provide comprehensive compensation packages that include a wide range of benefits. Here are some of the benefits you can look forward to:
- Flexible work options - Our hybrid policy allows employees to work from home up to 3 times per week
- Health & Wellness support - Health and Life Insurance.
- Financial growth opportunities - Employees can become shareholders in Ledger as well as other financial benefits depending on your country of work.
- Commuter allowance - Ledger offers a commuter allowance to contribute to your preferred means of transportation.
- Learning & Development - A comprehensive suite of training solutions providing a personalised learning experience for every employee.
For regionally specific benefits, your Talent Acquisition contact will be able to provide you with more information.
We’re committed to building an inclusive hiring process. If you need any adjustments or accommodations, just let us know, we’ll do our best to support you.
Задачи:
— Проводить занятия по Data Analytics для групп
— Индивидуальный менторинг учащихся
— Практические занятия на основе проектов
— Проверка домашних заданий и проектов, предоставление обратной связи
— Подготовка учебных материалов и заданий
— Создание портфолио и подготовка к интервью
— Отслеживание прогресса учащихся
Требования — глубокие знания и опыт:
— SQL: SELECT, JOIN, агрегация данных, создание и изменение таблиц;
— Опыт работы с PostgreSQL, MySQL или SQLite;
— Язык программирования Python:
- Очистка и анализ данных с помощью Pandas;
- Визуализация с Matplotlib и Seaborn;
- Статистический анализ с SciPy;
— Работа в Excel:
- Анализ данных с помощью сводных таблиц (Pivot Tables);
- Использование простых формул и функции VLOOKUP;
— Статистический анализ:
- Проведение A/B тестов и проверка гипотез;
- Определение взаимосвязей в данных;
— Визуализация:
- Создание дашбордов в Tableau или Power BI;
— Git / GitHub:
- Управление версиями (commit, branch, merge);
- Размещение и совместное использование проектов на GitHub;
— Языки:
- Свободное владение узбекским и русским языками (обязательно);
- Английский язык — преимущество;
— Дополнительно:
- Умение просто объяснять сложные темы;
- Ответственность и интерес к работе с учащимися.
Преимущества:
— Основы машинного обучения
— Сертификаты Google / IBM / Microsoft
— Портфолио с реальными проектами
Условия:
— Зарплата от 7 000 000 до 20 000 000 сум (в зависимости от опыта и результатов)
— Бонусы по результатам
— Гибкий график работы
— Современный учебный центр в Ташкенте
— Возможности профессионального роста
Задачи:
— Разрабатывать и сопровождать аналитические модели данных в Microsoft SSAS Tabular.
— Проектировать и реализовывать прототипы аналитических витрин на данных систем-источников.
— Формировать требования и технические задания для инженеров данных (загрузка и трансформация данных в DWH).
— Разрабатывать высокопроизводительные DAX-меры.
— Анализировать и оптимизировать существующие модели для ускорения отчётов Power BI.
— Участвовать в проектировании структуры корпоративного хранилища данных (DWH).
— Управлять качеством данных на стыке DWH и отчётности: формировать постановки на проверки качества данных на уровне DWH.
— Выявлять и устранять причины расхождений между данными источника, хранилища и конечной отчётностью.
— Администрировать модели: настраивать права доступа и роли (в том числе RLS), контролировать производительность и актуальность обработки моделей.
Требования:
— Уверенное владение Microsoft SSAS Tabular и практический опыт разработки tabular-моделей.
— Свободное владение DAX, включая разработку и оптимизацию сложных мер.
— Понимание принципов и архитектуры построения хранилищ данных (DWH).
— Опыт разработки визуализаций и отчётности в Power BI.
— Будет преимуществом: опыт миграции моделей с Multidimensional (MDX) на Tabular.
— Опыт работы с SQL Server на уровне продвинутого разработчика (T-SQL, оптимизация запросов).
— Важно умение проектировать производительные tabular-модели «под отчётность», обеспечивать согласованность показателей DWH и Power BI, а также формулировать понятные требования к загрузке данных для data-инженеров.
Условия:
— Удалённая работа.
О компании:
SkyCapital — крупный федеральный холдинг, объединяющий компании в сферах FMCG, фармацевтики, недвижимости и здорового образа жизни.
Задачи:
— Собрать сквозную модель данных: игрок, источники, ID, депозиты, бонусы, GGR/NGR;
— Настроить витрины и дашборды, чтобы команда не просила выгрузки вручную;
— Считать GGR и NGR на FTD по источникам, партнёрам и GEO;
— Определять, каких партнёров масштабировать, а каких отключать при текущем CPA;
— Вести когортный retention и LTV;
— Строить ранний прогноз LTV на 3-й и 7-й день после FTD для принятия решений по ставкам и капам;
— Вместе с тимлидом retention контролировать бонусную нагрузку по сегментам;
— Проектировать и считать A/B-тесты и holdout-группы для CRM-кампаний и механик: определять, что дало реальный инкремент, а что нет;
— Вместе с риск-менеджерами находить сигналы фрода и абьюза: мультиаккаунты, бонус-хантинг, аномалии по партнёрам;
— Вести отчетность.
Требования:
— От 2 лет в продуктовой аналитике или аналитике данных, из них от 1 года в iGaming;
— Сильный SQL: оконные функции, CTE, когорты;
— Опыт с ClickHouse или PostgreSQL;
— Свободно работаешь с GGR/NGR, bonus cost, LTV, ARPPU и когортным retention;
— Самостоятельно собираешь дашборды в Metabase, Superset, Tableau или Power BI;
— Знаешь статистику для A/B-тестов: размер выборки, значимость, holdout;
— Умеешь делать из цифр вывод и рекомендацию, а не только отчёт.
Будет плюсом:
— Опыт с партнёрским трафиком: постбэки, трекеры, оценка качества по партнёрам;
— Python для автоматизации и ETL;
— Опыт работы с рынками LATAM.
Условия:
— Полностью remote;
— Конкурентая заработная плата;
— Оплачиваемый отпуск + больничный;
— Возможность развития вместе с продуктом.
Задачи:
— Работа в роли Senior BI Analyst/Developer для компании Comtek, обслуживающей Caterpillar (USA).
Требования:
— Проживание и работа в период контракта вне России и Беларуси;
— Наличие степени бакалавра;
— Сильные навыки аналитики и визуализации данных;
— Способность работать самостоятельно;
— Опыт работы с SQL не менее 7 лет;
— Опыт работы с Python, Power BI, DAX не менее 5 лет;
— Опыт работы с Snowflake не менее 3 лет;
— Опыт создания дашбордов с использованием Snowflake не менее 3 лет;
— Владение английским языком на уровне не ниже B2.
Условия:
— Удалённая работа (remote);
— Контракт B2C;
— Полная занятость, 8 часов в день;
— 4 часа ежедневного пересечения с рабочим временем команды из США (с 8:00 до 12:00 по Чикаго);
— Минимальный срок контракта 9 месяцев и более;
— Отпуск без оплаты;
— Зарплата от 5700 до 6600 долларов США до вычета налогов в месяц.
Location: Singapore
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
ABOUT THE ROLE
We're looking for a RevOps Systems Architect to help build a modern, AI-powered revenue operations stack. This isn't a traditional Salesforce admin role. We're building a GTM tech stack where AI is a first-class citizen, automations are genuinely intelligent, and our CRM is a living system that reflects how our business actually works.
You'll function as a Salesforce admin and backend developer in one. You'll own platform administration, build complex automations via Flows and Apex, and develop and maintain custom services and integrations, including Salesforce MCP servers and AI tooling that connect our CRM to the broader systems our team runs on. For larger engineering efforts, you'll work shoulder-to-shoulder with our engineering team, scoping and shipping together.
In this role, you will:
- Administer our Salesforce org: object model, data architecture, user configuration, and platform health.
- Build and maintain automations via Salesforce Flows, Apex, and custom services that power our GTM processes end to end.
- Develop and maintain Salesforce MCP servers and AI tooling that extend CRM functionality into AI-powered workflows.
- Design and maintain SQL-based data pipelines that feed dashboards and revenue reporting across the org.
- Translate ambiguous business problems into clean technical scope, from stakeholder conversation to implemented solution.
REQUIREMENTS
- Salesforce administration experience with deep familiarity across the object model, Flows, data loading tools, and platform configuration.
- Strong Apex development skills: you can build, debug, and maintain custom logic, triggers, and integrations without leaning on a separate engineering team.
- SQL proficiency: you can decompose ambiguous questions into answerable queries and are comfortable with complex joins, aggregations, and pipeline logic.
- Systems mindset: you can hold an end-to-end process in your head, trace a field from its origin through every downstream dependency, and anticipate what breaks when something changes.
- Excited by modern tooling: you're drawn to building AI-native systems and are curious about where Salesforce, MCP, and AI agents intersect.
Bonus:
- Familiarity with dbt or modern data transformation tooling.
- Experience with BI tools such as Sigma or Looker.
LOCATION
This role is based in Singapore
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
About the Company
Our client is a fast-growing startup in the iGaming industry with a strong focus on online Poker alongside other gaming verticals.
The company is committed to using data to drive growth, enhance the player experience, and optimise performance across every product and every stage of the player lifecycle.
Qualifications & Skills
Essential Languages: fluency in English and Russian.
Experience: at least 2 years in data analysis, preferably in the iGaming industry or online Poker.
SQL: confident writing and optimising queries against large datasets.
Visualisation: proficiency in Tableau, Power BI or a similar tool, including dashboard design for non-technical users.
Breadth: comfortable supporting several stakeholder groups at once and switching between commercial, product and marketing questions.
Analytical rigour: strong problem-solving skills and the ability to process and interpret large, messy datasets.
Communication: able to turn complex data into clear, actionable insight for both technical and non-technical audiences.
Advantageous
Statistical analysis in Python or R (segmentation, churn and LTV modelling, experiment analysis).
Knowledge of online Poker and other iGaming products, including in-game economics, rake structures and tournament formats.
Experience with Casino or Sportsbook data — provider feeds, RTP and hold, or betting margin.
Familiarity with marketing and CRM platforms such as GA4, Appsflyer or Adjust, Braze, Optimove or Customer.io, and with affiliate tracking and attribution.
dbt, Git or similar analytics engineering tooling.
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leadМосква
Не хотите искать каждый день?
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Настройте подбор, и подходящие вакансии будут приходить в Telegram.