UPPeople

About the Company

We are a leading research and development company, recognized as one of the largest organizations in Ukraine specializing in fine organic synthesis and the development of advanced synthetic methodologies for organic compounds. Our scientific research contributes to cutting-edge innovations in the pharmaceutical and biotechnology industries, with projects that meet international standards.

Our culture is built around professional excellence, respect, teamwork, social responsibility, care for the scientific community, and proactivity.

We are looking for an experienced Lead Monitoring Engineer (SCOM) to architect, implement, and maintain a proactive enterprise monitoring platform based on Microsoft System Center Operations Manager (SCOM) 2022. Your mission will be to build a monitoring ecosystem capable of identifying and preventing service disruptions before they impact business operations or end users.

Responsibilities

• Design, deploy, configure, and maintain Microsoft SCOM 2022, including Management Servers, Gateways, Operational Database, and Data Warehouse.
• Build and support proactive monitoring for a hybrid Microsoft infrastructure, including:
  • Windows Server 2019+
  • Microsoft Exchange (On-Premises)
  • Microsoft 365 / Office 365 services
• Configure hardware monitoring for physical servers.
• Optimize monitoring quality by:
  • Establishing performance baselines
  • Reducing alert fatigue
  • Creating synthetic transactions and health checks
• Develop and maintain custom PowerShell scripts for automation, monitoring, and custom metric collection.
• Design monitoring standards, dashboards, alerts, and reporting to improve infrastructure visibility and reliability.
• Troubleshoot performance and infrastructure issues across enterprise environments.

Required Qualifications

• 3–5 years of enterprise Windows Server administration experience.
• 1–2 years of hands-on experience with enterprise monitoring solutions, preferably:
  • Microsoft SCOM (2012 R2 / 2016 / 2019 / 2022), or
  • Strong experience with Zabbix, PRTG, or Prometheus and a solid understanding of enterprise monitoring concepts.
• Deep knowledge of Windows internals, including:
  • WMI
  • Event Viewer
  • Performance Monitor (PerfMon)
  • Windows Registry
  • Performance troubleshooting (CPU, Memory, Disk I/O, Network)
• Good understanding of Microsoft Exchange architecture, including:
  • Database Availability Groups (DAG)
  • Mailbox databases
  • Transport queues
• Strong PowerShell scripting skills for automation and custom monitoring.
• Basic Microsoft SQL Server administration, including:
  • Indexes
  • Database file placement
  • High Availability concepts

Nice to Have

• Microsoft certifications such as:
  • MCSA / MCSE (Windows Server)
  • MCSE: Cloud Platform and Infrastructure
  • MCTS: System Center Configuration/Operations Manager
• Modern Microsoft certifications:
  • Microsoft Certified: Windows Server Hybrid Administrator Associate (AZ-800 / AZ-801)
  • Microsoft 365 Certified: Administrator Expert (MS-102)
• ITIL 4 Foundation certification or knowledge of Event Management and Incident Management processes.
• Basic XML knowledge for customization of SCOM Management Packs.

What We Offer

• A unique opportunity to design and build an enterprise monitoring platform from scratch, with significant architectural ownership.
• Work in a complex, enterprise-scale Microsoft infrastructure supporting mission-critical scientific operations.
• Official employment with full social benefits and a competitive, fully transparent salary.
• 24 calendar days of paid annual leave.
• Standard 40-hour work week.
• Fully remote work environment.
• Comprehensive medical insurance.
• Access to on-site dental and massage services (where applicable).
• Challenging and meaningful technical projects.
• Continuous learning, certification, and professional development opportunities.

Equals5 is a leading Healthcare Marketing SaaS for Pharma and Life Sciences. Our platform leverages exclusive NPI-level targeting technology to help brands reach healthcare professionals across 20+ channels with precise, user-level reporting.

The Role

We are looking for a Senior Data Engineer to join the Identity team at Equals5. This is not a standard ETL role. We are building a dynamic data ecosystem where AI is deeply integrated—both as a productivity multiplier and as a core component of our data processing logic for identity data enrichment and data scoring.

You will own the infrastructure that handles over 10,000 executions per minute, ensuring stability, scalability, and data integrity. You will work with a modern stack on Google Cloud Platform, utilizing Cloud Functions and Kubernetes.

We are looking for an engineer who improves infrastructure, automates everything, and is eager to implement LLM-based logic directly into high-load data flows.

Responsibilities

• AI-Driven Data Scoring: Design and implement pipelines that utilize LLMs to analyze and score identity data in real-time. You will integrate AI models directly into the decision-making loop, balancing accuracy with latency and cost.
• Own the Data Architecture: Architect scalable data solutions using GCP and Python. You will manage data storage and retrieval using BigQuery and Apache Iceberg to support querying of TBs of data.
• Heavy Data Processing: Utilize Apache Spark for data transformations and batch processing when lightweight cloud functions are not enough.
• Manage High-Load Orchestration: Maintain and optimize our system instances. It involves complex dataflows, custom Python nodes, and performance tuning for 10k+ execs/minute.
• Release Lifecycle (CI/CD): Take ownership of the deployment process, ensuring that updates to pipelines and infrastructure are released safely with proper testing and rollback strategies.
• Database Optimization: Manage PostgreSQL performance under heavy load, optimizing complex queries and indexing strategies.
• Active AI Usage: Use Claude Code and other AI engineering tools to accelerate your own development, refactoring, and testing processes.
• Incident Resolution: Proactively monitor the system. When alerts fire, you investigate the root cause—whether it’s a database lock or an LLM hallucination—and fix it permanently.

Requirements

• 4-5+ years of experience in Data Engineering or Backend Engineering with a strong data focus.
• Production AI Integration: Experience integrating LLMs (OpenAI, Anthropic, Gemini) into production applications via API. You understand latency, token limits, and how to structure data for AI scoring.
• Expertise in GCP: Understanding of Google Cloud Platform (Cloud Functions, IAM, Networking).
• Strong Python: You write clean, efficient, and testable code. You are comfortable building custom logic where standard tools fall short.
• Big Data Stack: Experience with BigQuery, Apache Spark, and modern table formats like Apache Iceberg.
• Kubernetes (K8s): Experience deploying and scaling services in containerized environments.
• Workflow Automation: Understanding of workflow orchestration tools at a deep technical level. N8N is a big part of our domain, so familiarity with it is highly valuable.
• PostgreSQL Mastery: Proven ability to handle heavy write/read loads and optimize schemas.
• English: B2+ (Upper-Intermediate) or higher.

Culture & Mindset

• Self-improvement: You are a fast learner. You don't fear AI replacing you; you master it to replace your manual tasks.
• Ownership: You treat the Identity domain as your own business. If a scoring model drifts or a pipeline slows down, you notice it and fix it without being asked.
• Internal Locus of Control: You take responsibility for outcomes. If an external API fails, you build a fallback mechanism instead of just blaming the provider.
• Get It Done: You prioritize shipping value. You know when to use a simple script and when to build a complex architecture.
• Openness: You share knowledge freely. If you find a better way to prompt the AI for scoring, you share it with the team.

What We Offer

• Fully remote with flexible hours (aligned with EU timezones for syncs).
• AI-Native Environment: We provide licenses for Claude Code and encourage using the bleeding edge of AI tech for both daily coding and product features.
• High-Impact Role: You will directly influence how we identify and score users, impacting the core business logic.
• Cross-functional visibility: Work closely with Product and Tech Leads to shape the future of Identity.

• No Bureaucracy: Fast decisions, no legacy processes, focus on results.

   

The Google Cloud Premier Partner, is a global leading provider of data-driven digital transformation across cloud-based enterprises. With a global presence and focus on Software & Platforms, Life sciences and Healthcare, Retail, CPG, financial services and supply chain, 
 

Values

We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.

Equal Opportunity Statement

We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace. Please explore more at https://www.cloudsufi.com/
 

About the Role

We are looking for a Sales Manager to drive new business acquisition and expand relationships with enterprise clients. This role focuses on selling Data Engineering, AI/ML, Generative AI, Cloud Transformation, and Digital Engineering services through a consultative, solution-based sales approach.

Key Responsibilities:
 

• Identify, develop, and close new business opportunities with enterprise clients.
• Build and manage a healthy pipeline of prospects across target industries.
• Engage with C-level executives and key decision-makers to understand business challenges and position tailored solutions.
• Drive the full sales cycle, from prospecting and discovery to proposal development, negotiation, and contract execution.
• Collaborate closely with delivery, engineering, and solution architecture teams to develop compelling client solutions.
• Expand existing client relationships through upselling and cross-selling opportunities.
• Develop strategic account plans and maintain long-term customer relationships.
• Achieve quarterly and annual revenue targets.

Required Qualifications:

• 5+ years of experience in technology sales, IT services sales, consulting sales, or digital transformation sales.
• Proven track record of generating new business and closing enterprise deals.
• Experience selling one or more of the following: Cloud Services, Data Engineering, Analytics, AI/ML, Generative AI, Software Engineering, or Digital Transformation solutions.
• Strong consultative selling and stakeholder management skills.
• Experience engaging with Director, VP, and C-level decision-makers.
• Excellent communication, negotiation, and presentation skills.
• Ability to work in a fast-paced, high-growth environment.

Preferred Qualifications:

• Experience selling Google Cloud, AWS, or Azure-related services.
• Background in technology consulting or professional services organizations.
• Experience working with clients in Software & Platforms, Healthcare & Life Sciences, Retail, CPG, Financial Services, or Supply Chain industries.

The company is building a healthcare-focused adtech platform that enables precise targeting of healthcare professionals using large-scale data and AI.

We’re looking for a Senior Data Analyst to define how we measure data quality, evaluate AI/LLM-based scoring, and generate insights that support product, sales, and media buying teams. You’ll work with 70+ TB of data, design evaluation frameworks from scratch, and help optimize performance, cost, and data pipelines.

Responsibilities

• Measurement & Evaluation Foundations: Define how we measure what matters — data quality, the accuracy of our AI scoring, how many records actually get matched to usable signals, cost per outcome. Build the feedback loops that tell us whether a change makes the system better or worse.

• Scoring Intelligence (co-owned with engineers): Partner with the engineering team on the LLM-based scoring system. You will build the evaluation framework for AI scoring, run experiments comparing prompts, models, and approaches against a baseline, and make data-backed calls on where we invest next. Our AI scoring system is actively evolving — you will shape how we measure and improve it.

• Client-related Analysis: Own the analytical side of the work that internal sales and media-buying teams bring in from pharma clients — how reachable a target audience is, how good the data looks, why a campaign performed the way it did. You turn their questions into data-backed answers they can use. Identity is a product core; the analyst works with internal teams, not with clients directly.

• Cost and Value Analysis: Turn cost and value into product decisions. Which data sources and enrichment scenarios pay off, where we overspend, what to cache, what to cut. We operate a mix of free owned data and paid external providers — the decisions have real dollar impact.

• Active AI Usage: Use Claude Code and modern AI engineering tools to multiply your own output. Automate the repetitive parts of analysis so you can focus on the decisions. We provide Claude Code licenses and expect active daily use.

• Data Quality Response: When pipeline output drifts, a provider degrades, or upstream data shifts, you notice first, diagnose the root cause, and drive the fix. You treat data quality as a product, not a ticket queue.

Requirements

• 5+ years as a Data Analyst, Analytics Engineer, or Data Scientist in a product team (not consultancy, not BI-only roles).
• Advanced SQL at TB scale — BigQuery, Snowflake, or equivalent warehouse. You can read and write complex queries on tens of terabytes without someone pre-modelling the data for you.
• Python for analysis at a working level — pandas, Jupyter, or modern equivalents. Comfortable putting together a small script or helper when an existing tool doesn't cover your case.
• Built measurement or evaluation frameworks from scratch for systems that had no baseline. You are comfortable defining what and how to measure, not consuming someone else's KPI.
• Comfort with probabilistic systems. You understand that noise is inherent and 100% accuracy is not the goal — scoring, matching, ranking.
• AI-native workflow. You already use Claude Code, ChatGPT, Copilot, or similar AI tools daily and integrate them into your analytical process.
• English: B2+ (Upper-Intermediate) or higher.

Strong plus (one or more)

• LLM evaluation experience — A/B testing AI-powered features, output scoring, prompt iteration with measurable outcomes.
• Identity resolution / identity graph experience — adtech, martech, or customer data platform context (LiveIntent, LiveRamp, Epsilon, Experian Marketing, Acxiom, Merkle, or similar).
• Healthcare or pharma data — working with NPI, HCP-level data, healthcare taxonomies, pharma targeting.

Nice to have

• Experience running controlled experiments on data pipelines.
• Prompt engineering or structured LLM prompt design.
• Prior work in AI-first product companies.

Ми шукаємо досвідченого інфраструктурного інженера для архітектурної розробки, впровадження та підтримки системи проактивного моніторингу на базі Microsoft System Center Operations Manager (SCOM) 2022. Ваша головна мета — створити систему, яка попереджає про відмову сервісів ще до того, як це вплине на бізнес та користувачів.

Основні обов’язки:

• Розгортання, налаштування та архітектурна підтримка SCOM 2022 (Management Servers, Gateway, DB/DW).
• Побудова моніторингу гібридної інфраструктури: Windows Server 2019+, Microsoft Exchange (On-premise) та сервісів Office 365.
• Налаштування апаратного моніторингу фізичних серверів.
• Тюнінг системи: налаштування базових ліній продуктивності (Baselining), усунення «шуму» (Alert Fatigue) та створення синтетичних транзакцій.
• Написання, створення/редагування кастомних скриптів на PowerShell

Обов’язкові знання та досвід:

• Досвід адміністрування: 3–5 років роботи з інфраструктурою Windows Server рівня Enterprise.
• Досвід моніторингу: 1–2 роки практичної роботи з системами моніторингу (ідеально — SCOM 2012 R2/2016/2019, або глибокий досвід з Zabbix/PRTG/Prometheus із розумінням enterprise-концепцій).
• Глибоке розуміння ОС Windows: WMI, Event Viewer, PerfMon, реєстр, процеси траблшутингу продуктивності (CPU, Memory, Disk I/O, Network).
• Знання Microsoft Exchange: Розуміння архітектури (DAG, бази даних, транспортні черги) для налаштування коректних метрик.
• Володіння PowerShell: На рівні впевненого створення скриптів для автоматизації та збору нестандартних метрик.
• Бази даних: Базове адміністрування MS SQL Server (розуміння роботи індексів, розміщення файлів БД, High Availability

Буде перевагою:

• Наявність старих, класичних (навіть якщо вони вже офіційно не актуальні) сертифікацій буде великим плюсом, оскільки вони підтверджують глибоке розуміння технологій: Сертифікації Microsoft: MCSA/MCSE по Windows Server (2012/2016) або сертифікації серії System Center (наприклад, MCSE: Cloud Platform and Infrastructure, MCTS: System Center Configuration/Operations Manager).
• Сучасні сертифікації: Microsoft Certified: Windows Server Hybrid Administrator Associate (AZ-800/801) або Microsoft 365 Certified: Administrator Expert ([MS-102]).
• Розуміння процесів: ITIL 4 Foundation (для розуміння логіки Event Management та Incident Management).
• Досвід з XML: Базове розуміння структури XML для тонкого налаштування Management Packs.

Ми пропонуємо:

•  Бронювання
• Можливість побудувати комплексну систему моніторингу «з нуля» за власним баченням.
• Роботу зі складним та цікавим Enterprise-середовищем.
• захищеність та усі соціальні гарантії (офіційне працевлаштування, «білий» дохід зі своєчасною виплатою, 24 дні відпустки);
• 40-годинний робочий тиждень;
• віддалений формат роботи;
• медичне страхування;
• стоматологічний та масажний кабінети;
• цікаві та амбітні задачі;
• можливості навчання та розвитку.