Jobs Data & Analytics

US Company is searching for a UI/UX and Database Engineer (AI Platform) to join an AI-driven product company focused on building modern communication solutions powered by cutting-edge technologies. This role combines frontend engineering, user experience improvements, and database development while working alongside experienced Full-Stack Engineers in an international remote team. Full-time, official contract, remote work, and flexible schedule.

Brief project description:
The product is an AI-powered communications platform that enables businesses to deliver intelligent customer interactions through modern messaging and voice technologies.

Responsibilities:

• Develop responsive, accessible, and user-friendly interfaces using modern frontend technologies.
• Improve usability, navigation, layouts, forms, and overall user experience across the platform.
• Build and maintain PostgreSQL queries, views, migrations, and database structures.
• Support backend integration with frontend applications through REST APIs.
• Troubleshoot UI and data-related issues.
• Write automated tests for frontend and database functionality.
• Participate in code reviews and Agile ceremonies.
• Produce clear technical documentation.
• Collaborate closely with senior engineers while continuously improving development practices.
• Participate in production support and occasional on-call activities when required.

Required skills (must have):

• 2+ years of professional experience in Frontend or Full-Stack development.
• Strong knowledge of HTML, CSS, and JavaScript.
• Commercial experience with at least one modern frontend framework (React, Vue, Angular or similar).
• Good understanding of UI/UX principles and responsive design.
• Experience writing SQL queries and working with PostgreSQL databases.
• Familiarity with frontend testing frameworks (Jest, Playwright, Cypress or similar).
• Experience integrating frontend applications with REST APIs.
• Excellent spoken and written English.
• Ability to work with several hours of overlap with US business hours.

Would be considered as a plus:

• Experience with Python or Node.js backend development.
• Experience working with Figma.
• Experience with Jira and Agile development methodologies.
• Experience working on SaaS products.
• Basic knowledge of cloud platforms such as AWS.

Work conditions:

• 100% remote work.
• Full-time (40 hours per week).
• Official contract.
• Flexible schedule with required overlap with US business hours.
• Participation in occasional on-call support rotation.

Interviewing / Hiring process:
Step 1 - preliminary interview (main questions) - 45 mins
Step 2 - internal technical interview - 60 mins
Step 3 - technical interview with Team Leader - 60 mins

US Company is searching for a Senior Backend and DB Engineer to join an innovative product team developing an AI-powered SaaS platform. This is an exciting opportunity to build scalable backend services, cloud infrastructure, and data-driven solutions while working with modern AI technologies in a distributed international team. Full-time, official contract, remote work, and flexible schedule.

Brief project description:
The product is SaaS, which enables businesses to automate and enhance customer communications through AI-powered workflows and modern communication technologies.

Responsibilities:

• Design, develop, and maintain scalable backend services using Python and Node.js.
• Design, optimize, and maintain PostgreSQL databases, schemas, queries, and migrations.
• Build and maintain REST APIs and backend integrations.
• Integrate LLM APIs and AI-powered capabilities into production applications.
• Build, deploy, and maintain applications and cloud infrastructure on AWS.
• Optimize application performance, scalability, and reliability.
• Develop and maintain automated unit and integration tests.
• Participate in architecture discussions, code reviews, sprint planning, and technical decision-making.
• Troubleshoot production issues and continuously improve backend quality and performance.
• Collaborate closely with engineers across the team, contributing wherever needed to support successful product delivery.

Required skills (must have):

• 7+ years of professional software engineering experience, including significant experience in backend development.
• Strong backend development experience with Python and/or Node.js.
• Strong experience with PostgreSQL, including schema design, query optimization, indexing, migrations, and performance tuning.
• Experience designing and developing REST APIs.
• Experience building and deploying applications on AWS.
• Experience working with LLM APIs or AI-powered applications.
• Experience with automated testing frameworks and modern development practices.
• Excellent spoken and written English.
• Ability to work with several hours of overlap with US business hours.

Would be considered as a plus:

• Basic experience with React, Vue.js, or similar frontend frameworks.
• Experience with Twilio or other communications platforms.
• Experience working on enterprise SaaS products.
• Experience working with distributed international teams.
• Experience with Agile/Scrum development methodologies.

Work conditions:

• 100% remote work.
• Full-time (40 hours per week).
• Official contract: salary, sick-leave days, holidays, vacations.
• Flexible schedule with overlap with US business hours.

Interviewing / Hiring process:
Step 1 - preliminary interview (main questions) - 45 mins
Step 2 - internal technical interview - 60 mins
Step 3 - technical interview with Team Leader - 60 mins

About client

Client builds and operates GPU cloud infrastructure at the scale modern AI demands. We run dense accelerated-compute clusters on bare metal, powered by NVIDIA and AMD accelerators and K8s, stitched together with high-performance Ethernet and InfiniBand fabrics, and we deliver them to customers as reliable, secure, high-throughput platforms. We are scaling rapidly across new data center sites, and the infrastructure team sits at the center of that growth, building the systems that turn racks of hardware into a product customers depend on.

The role

We are hiring a Principal Infrastructure Engineer to build the foundation of our greenfield v2 cloud platform: the bare-metal provisioning and control-plane substrate that turn new racks of GPU hardware into reliable, secure, customer-ready capacity.This is a build-focused, hands-on role and the most senior individual contributor on the platform build. You will own the recommendation and the call on the infrastructure layer (we’re currently in POC across different vendors) and the build-vs-buy decision that goes with it, with our Cloud Platform Architect pressure-testing it. You will drive integration across the other domains and define how infrastructure is templated, multi-tenanted, and handed to customers. You will define the architecture and the standards the rest of the team builds to, while still being deep in the code yourself. Day-to-day operations are not your focus, getting the platform designed and built right is.

You will work at the center of new cluster and new-site buildouts, partnering closely with our network, SRE, and security engineers. They own the fabric and day-to-day operations; you own getting the platform built right. Because the systems you design become the foundation customer GPU workloads run on, getting the architecture and automation right the first time matters more here than almost anywhere.

What you’ll own

• Platform architecture and technical direction: own the architecture of the cloud platform control plane and orchestration layer for new GPU clusters, making the foundational decisions and setting the technical standards the rest of the platform is built on.

• Bare-metal provisioning automation: build the automated pipeline that takes a node from rack-and-stack handoff to a fully configured, real acceptance gates before a node is marked customer-ready, firmware to the qualified recipe, GPU burn-in, NCCL/RCC runs, and fabric checks, plus a golden-image build-and-qualify pipeline in CI repeatedly across sites and at scale.

• Infrastructure as code and automation: treat the platform as code from day one. Build the Terraform and Ansible that provision, configure, and validate the platform, so the build is reproducible rather than hand-assembled.

• Control-plane substrate: build the control plane that turns provisioned bare metal into cluster-ready capacity, and own the clean handoff to the Kubernetes layer. You own tenant isolation at the network and hardware layer; the Kubernetes and namespace isolation model belongs to the Principal Kubernetes Platform Engineer.

• DPU and SmartNIC integration: design how we leverage BlueField DPUs in the platform, offload, provisioning, isolation, and the SuperNIC/DPU-mode configurations that let us get the most out of the hardware.

• Platform reliability by design. Build observability, guardrails, and progressive-rollout mechanisms into the platform from the start. As you build it and design to our SOC 2, ISO 27001, and HIPAA obligation.

• Security Built-in: instrument the platform as you build it and design to our SOC 2, ISO 27001, and HIPAA obligations. Vault-based secrets model from the start. BIOS and system prep for trusted domain execution, secure boot, and backend-fabric hardening.

• Confidential-compute-ready platform (growth area): Design the tenancy and scheduling so it fits our confidential-compute roadmap: whole-GPU per tenant, and TDX with GPU passthrough. Deep CC background is a plus, not a requirement.

• New site buildouts: take a critical role in standing up the platform at new data center sites, turning green-field facilities into production capacity.

• Technical leadership: set patterns, review designs, and raise the engineering bar across the infrastructure team multiplying the impact of other engineers and mentoring senior ICs, without becoming a people manager.

What we’re looking for

Required

• 10+ years building production infrastructure at scale, including deep green-field and platform-build experience, for cloud, hosting, or high-performance compute environments.

• A track record of setting technical direction on complex platforms, architecture others adopt, standards others follow, and influence that extends well beyond your own keyboard.

• Strong Linux systems fundamentals, you can reason about the kernel, networking stack, storage, and performance, not just the command line.

• Fluency in infrastructure as code and automation: Terraform, Ansible, and a real programming language used to build durable platform tooling, not just one-off scripts.

• Production Kubernetes experience: building, deploying, and operating clusters and the platform services that run on them.

• A demonstrated bias toward building things right the first time: sound architecture, reproducible automation, and durable design over short-term shortcuts.

• Strong written communication, you document designs and decisions clearly and leave systems more understandable than you found them.

Strongly preferred

• DPU / SmartNIC experience, especially leveraging offload, DPU/SuperNIC modes, and platform designs that exploit them. This is a meaningful differentiator for us.

• Experience with GPU and accelerated-compute infrastructure across NVIDIA and AMD, including ROCm and firmware lifecycle, or HPC/AI infrastructure.

• Bare-metal provisioning at scale (Redfish/BMC automation, NetBox or a similar source of truth).

• Experience standing up cloud-platform control-plane stacks in a green-field setting.

• Networking depth, BGP, VLANs, fabric concepts, and the ability to debug connectivity and throughput issues. You won’t own the network, but the more fluently you can partner with our network engineers, the better.

• Familiarity with high-performance fabrics: RoCE Ethernet / InfiniBand.

• HashiCorp Vault, and building within a SOC 2 / ISO 27001 / HIPAA compliance posture.

How we work

• Small, senior, high-trust teams. We hire people who can own and solve problems end to end and we give them the room to do it.

• Code over clicks. The platform is defined, reviewed, and versioned. Manual changes are the exception and they get automated away.

• Build it right. We invest in sound architecture and durable design so the platform scales cleanly instead of accumulating debt.

• Customers are real. The platform exists to serve customer workloads, and we build to the reliability and white-glove standard that implies.

• We document. Designs, decisions, and architecture are written down so the team compounds knowledge instead of re-learning it.

AI as a force multiplier

We expect our engineers to use AI to move faster and operate at higher leverage, and we build our environment to make that the default rather than an afterthought. We maintain CLAUDE.md and AGENTS.md context files across our repositories, run MCP servers against our operational systems (Jira, NetBox, Checkmk), and use agentic coding tools such as Claude Code directly in our infrastructure and platform workflows.

You don’t need to be an AI expert, but you should be eager to fold these tools into how you design, build, and automate — and to help us push the frontier of what an AI-leveraged infrastructure team can do.

What success looks like

First 30 days

• Ramped on our environment: the platform stack, provisioning approach, and target architecture. able to navigate the codebase and design docs independently.

• Shipped your first meaningful contribution to the platform build with the team’s review.

• Aligned with network, SRE, and security on where your work meets theirs.

First 90 days

• Owning a defined component of the platform build end to end, from design through delivery.

• Delivered a meaningful piece of provisioning or platform automation that made the build faster, more reproducible, or more reliable.

• Shaped at least one foundational architecture decision that the platform is built on.

First 12 months

• The recognized technical authority for the cloud platform build, setting direction and trusted across network, SRE, security, and platform engineering.

• Designed and delivered a significant piece of the cloud platform or its automation that raised the team’s leverage and the platform’s reliability.

• Took a lead role in bringing at least one new data center site online.

About the Role

We are looking for an experienced Senior Data Engineer to design, build, and maintain scalable data platforms and pipelines. You will work closely with data analysts, data scientists, software engineers, and business stakeholders to deliver reliable, high-quality data solutions that power analytics and business decision-making.

This role is ideal for someone passionate about building modern data architectures, optimizing data workflows, and ensuring operational excellence.

Responsibilities

• Design, develop, and maintain scalable batch and streaming data pipelines.
• Build robust ETL/ELT workflows for ingesting, transforming, and serving data.
• Optimize data storage, processing, and query performance.
• Develop and maintain data models that support reporting, analytics, and machine learning.
• Ensure data quality, reliability, security, and governance across the platform.
• Monitor production pipelines and troubleshoot operational issues while maintaining SLAs.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Improve automation, deployment processes, and infrastructure for data engineering workloads.
• Contribute to architectural decisions and engineering best practices.
• Document technical solutions and mentor junior engineers when needed.

Required Skills

• 5+ years of experience in Data Engineering or a similar role.
• Strong proficiency in Python and SQL.
• Experience building scalable ETL/ELT pipelines.
• Hands-on experience with modern cloud platforms (AWS, Azure, or Google Cloud).
• Experience working with data warehouses such as Snowflake, BigQuery, Redshift, or Synapse.
• Strong understanding of data modeling principles.
• Experience with orchestration tools such as Airflow or similar.
• Knowledge of distributed data processing technologies (Spark preferred).
• Experience with Git and software engineering best practices.
• Strong analytical and problem-solving skills.
• Experience supporting production systems, troubleshooting incidents, and maintaining operational reliability and SLAs.
• Excellent communication skills with both technical and non-technical stakeholders.

Nice to Have

• Experience with dbt for data transformation and modeling.
• Knowledge of data observability and monitoring tools.
• Experience with streaming technologies such as Kafka, Apache Flink, or similar.
• Familiarity with CI/CD pipelines for data engineering.
• Experience implementing data quality frameworks and governance practices.
• Experience with Infrastructure as Code (Terraform or similar).
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent practical experience).

What We Offer

• Fully remote work ( shifts per USA time zone)
• Opportunity to work with modern cloud-based data platforms.
• Long-term international project.
• Collaborative engineering culture.
• Competitive compensation based on experience.
• Career growth opportunities and exposure to cutting-edge data technologies.

We are looking for an experienced BI Analyst who will take ownership of building, maintaining, and optimizing our business intelligence infrastructure. The ideal candidate is passionate about data, analytics, and modern BI tools, and can translate complex data into actionable insights that drive business decisions.

HOW YOU WILL MAKE AN IMPACT

• Develop and maintain semantic data models in Power BI (Pro license or higher).
• Design and build reports and dashboards based on business requirements.
• Write complex DAX measures and calculations.
• Work with multiple data sources (databases, Google Sheets, etc.) and manage data connectivity (gateways).
• Administer Power BI, including managing permissions and RLS (Row-Level Security).
• Monitor BI trends and implement new Power BI features and AI capabilities into existing and new reports.
• Optimize performance and loading speed of reports and data models.
• Write and optimize SQL queries in BigQuery and MySQL (experience with ClickHouse is a plus).
• Use CTEs and window functions in query development.
• Collaborate with developers to define and document technical requirements for new data sources.
• Experience with Google Cloud Functions and Airflow is a strong advantage.

WHAT WILL HELP YOU SUCCEED IN THE ROLE

• 2+ years of professional experience working with Power BI (not freelance projects).
• Hands-on experience with BigQuery and MySQL (ClickHouse is a plus).
• Strong proficiency in SQL (CTE, window functions).
• Practical experience in data modeling and report optimization.
• Understanding of data governance, access management, and RLS principles.
• Analytical mindset and attention to detail.
• Intermediate or higher level of English (for documentation and communication).

Nice to Have

• Experience with Tableau or Looker Studio.
• Background in Google Cloud Platform or other cloud ecosystems.
• Interest in implementing AI tools within BI systems.

WHY YOU’LL LOVE IT HERE:

• Flexible working hours and a remote work setup, so you can plan work around your life and not your life around work!
• Unlimited vacation days and paid sick leave—because your rest matters.
• A competitive compensation that truly reflects your skills and expertise.
• Employee referral bonus and gifts to celebrate your special occasions.
• 50% financial support for learning expenses to supercharge your professional growth!
• A positive atmosphere where you always feel respected and truly belong.
• Inspirational team-building activities that turn colleagues into best friends.
• Wellness benefits: We’ll support your sports passions, from yoga classes to gym memberships.
• Co-working space reimbursement to save your nerves from always working from home :)

Наш клієнт, Growe, провідна консалтингова компанія та група сервісів у сфері iGaming і розваг. Вони створюють стратегії, що працюють, та рішення, які масштабуються. 

Ідеально для тих, хто прагне:

• Аналізувати поведінку гравців протягом усієї воронки продажів: реєстрація, перший депозит, утримання, повторна активація, відтік – та перетворювати результати на практичні рекомендації щодо продуктів;
• Проектувати, проводити та інтерпретувати A/B-тести та квазіексперименти, керувати методологією вимірювання впливу функцій;
• Створювати та підтримувати когортні аналізи (LTV, криві утримання, окупність) для підтримки рішень щодо продуктів та інвестицій;
• Визначати, контролювати KPI та дерева метрик продукту, перевіряти метрики, які не відображають реальної бізнес-цінності;
• Співпрацювати з менеджерами продуктів, щоб визначити пріоритети дорожньої карти на основі очікуваного впливу, а не інтуїції;
• Розробляти самообслуговувані інформаційні панелі (Tableau) та джерела даних, щоб допомогти зацікавленим сторонам відповідати на рутинні запитання без залучення аналітиків;
• Досліджувати аномалії в ключових метриках та чітко повідомляти першопричини нетехнічній аудиторії;
• Підтримувати культуру ретельної, чесної аналітики: документувати припущення, кількісно визначати невизначеність та відмічати, коли дані не можуть відповісти на запитання;
• Розвивати впровадження веб-аналітики та якості даних: плани відстеження, таксономія подій, управління тегами (GTM) та перевірка нових релізів відстеження.

Досвід, який стане твоєю перевагою:

• 2+ роки в продуктовій/веб або Data-аналітиці;
• Практичний досвід роботи з платформами веб-аналітики (GA4, Amplitude, Mixpanel або подібними), включаючи розробку та впровадження відстеження подій, а не лише використання звітів;
• Досвід роботи з iGaming або іншою високочастотною B2C-сферою (фінтех, ігри, електронна комерція) буде перевагою;
• Знання Google Tag Manager або порівнянної системи керування тегами та здатність читати специфікації dataLayer та налагоджувати проблеми відстеження;
• Поглиблені знання SQL - віконні функції, CTE, великі набори даних (Athena або подібна є перевагою);
• Знання статистики: перевірка гіпотез, довірчі інтервали, статистична потужність, поширені помилки експериментів (передній перегляд, упередженість вибору, упередженість когортної зрілості);
• Досвід роботи з аналізом воронки продажів, когортним аналізом, LTV та моделюванням утримання;
• Вміння працювати з інструментом бізнес-аналітики (бажано Tableau), включаючи розробку джерел даних;
• Розуміння моделей атрибуції та їх обмежень;
• Python або R для ad-hoc аналізу буде перевагою (pandas, підгонка кривої, аналіз виживання);
• Англійська мова на рівні Intermediate та вище.

Ми цінуємо:

• Бізнес-мислення: ви починаєте з рішення, яке потрібно прийняти, а не з даних, які випадково доступні;
• End-to-end мислення: ви природно пов'язуєте налаштування цільової сторінки з її впливом на депозити та LTV, а не оптимізуєте кожен етап окремо;
• Інтелектуальна чесність: ви кажете «дані цього не підтверджують», навіть коли аудиторія хоче іншої відповіді, і ви кількісно оцінюєте, наскільки ви насправді впевнені;
• Увага до якості даних: ви ставитеся до несправного відстеження як до інциденту першочергового рівня, оскільки від нього залежить кожен подальший аналіз;
• Відповідальність: ви стежите за питанням від сирої події до бізнес-рішення, не чекаючи ідеально визначеного завдання.

Наші клієнти пропонують конкурентні переваги для підтримки вашого професійного та особистого зростання, зокрема:

• Орієнтація на здоров’я та добробут;
• Глобальне медичне страхування;
• Можливості для зростання;
• Програми бенефітів (компенсація спорту / стоматології / психолога тощо);
• Бонуси за досягнення результатів;
• Динамічне робоче середовище.

English version:

Our client, Growe, is a leading business advisory and services group in iGaming and Entertainment. Сreators of strategies that work and solutions that scale. 

Perfect for those who aim to:

• Analyze player behavior across the full funnel: registration, first deposit, retention, reactivation, churn - and translate findings into actionable product recommendations;
• Design, run, interpret A/B tests and quasi-experiments, handle the methodology for measuring feature impact;
• Build and maintain cohort-based analyses (LTV, retention curves, payback) to support product and investment decisions;
• Define, validate, and monitor product KPIs and metric trees, challenge metrics that don't reflect real business value;
• Partner with product managers to prioritize the roadmap based on expected impact, not intuition;
• Develop self-service dashboards (Tableau) and datasources to help stakeholders answer routine questions without analyst involvement;
• Investigate anomalies in key metrics and communicate root causes clearly to non-technical audiences;
• Maintain culture of rigorous, honest analytics: document assumptions, quantify uncertainty, and flag when data can't answer the question;
• Own web analytics implementation and data quality: tracking plans, event taxonomy, tag management (GTM), and validation of new tracking releases.

Experience you’ll need to bring:

• 2+ years in product or web analytics;
• Hands-on experience with web analytics platforms (GA4, Amplitude, Mixpanel, or similar), including event design and tracking implementation, not just report consumption;
• Experience with iGaming, or another high-frequency B2C domain (fintech, gaming, e-commerce) will be a plus;
• Working knowledge of Google Tag Manager or a comparable tag management system and ability to read dataLayer specs and debug tracking issues;
• Strong SQL - window functions, CTEs, large datasets (Athena or similar is a plus);
• Solid grounding in statistics: hypothesis testing, confidence intervals, statistical power, common experiment pitfalls (peeking, selection bias, cohort-maturity bias);
• Experience with funnel analysis, cohort analysis, LTV and retention modeling;
• Proficiency with a BI tool (Tableau preferred), including data source design;
• Understanding of attribution models and their limitations;
• Python or R for ad-hoc analysis is a plus (pandas, curve fitting, survival analysis);
• English at Intermediate level and higher.

It's a perfect match if you have those personal features:

• Business first mindset: you start from the decision that needs to be made, not from the data that happens to be available;
• End-to-end thinking: you naturally connect a landing page tweak to its downstream effect on deposits and LTV, rather than optimizing each stage in isolation;
• Intellectual honesty: you say "the data doesn't support this" even when the room wants a different answer, and you quantify how confident you actually are;
• Attention to data quality: you treat broken tracking as a first-priority incident, because every analysis downstream depends on it;
• Ownership: you follow a question from raw event to business decision without waiting for a perfectly specified task.

Our clients offer competitive benefits to support your professional and personal growth, including: 

• Health & Wellness Focus;
• Global Medical Coverage;
• Growth Opportunities;
• Benefits Programs (compensation for the gym/stomatology/psychological service & etc.);
• Performance-Driven Rewards;
• Dynamic Work Environment.

At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.

Now we are looking for a Software Development Engineer (MLOps) to join us as part of our team.

About the role

As a Senior ML Operations Engineer, you will support teams building and deploying AI-driven solutions, helping them overcome common challenges in the ML development, deployment, and support lifecycle. This role offers autonomy in decision-making, encouraging a proactive approach to solving complex issues and finding optimal solutions for scalable systems.

About the project

PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials and many more.

Team composition

1 Engineering Manager, 4 Senior ML Ops Engineers

Work Environment

The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology.

As a qualified expert, You will

• Serve as a force multiplier for development teams by creating golden paths that remove roadblocks and improve ideation and innovation.
• Collaborate with other engineers, product managers, and internal stakeholders in an Agile environment.
• Provide mentorship, technical guidance, and perform code reviews for team members.
• Design and deliver on projects end-to-end with little to no guidance.
• Provide support to teams building and deploying AI applications by addressing common pain points in the MLDLC.
• Learn constantly and be passionate about discovering new tools, technologies, libraries, and frameworks (commercial and open source), that can be leveraged to improve PitchBook’s AI capabilities.
• Support the vision and values of the company through role modeling and encouraging desired behaviors.
• Participate in various cross-functional company initiatives and projects as requested.
• Contribute to strategic planning in a way that ensures the team is building exceptional products that bring real business value.
• Evaluate frameworks, vendors, and tools that can be used to optimize processes and costs with minimal guidance.

We’re looking for you if you have

• Degree in Computer Science, Information Systems, Machine Learning, or a similar field preferred (or equivalent practical experience).
• 5+ years of hands-on software development experience with Python (Java experience with strong Python proficiency also considered).
• 4+ years of experience designing and building distributed software systems and architectures.
• 3+ years of hands-on experience deploying and operating Machine Learning services in production.
• Experience supporting ML lifecycle operations including post-deployment monitoring and maintenance.
• Experience in cloud-native stack, with a practical understanding of containerization technologies such as Kubernetes and Docker.
• Demonstrated experience with SQL and NoSQL database design and implementation.
• Ability to decompose complex problems into iterative, well-defined solutions.
• Strong problem-solving abilities with focus on building scalable, efficient, and maintainable systems.
• Strong communication and collaboration skills, with the ability to engage effectively with internal customers across various cultures and regions.
• Ability to be a team player who can also work independently.
• Experience working across multiple development teams is a plus.

Desired Skills

• Experience with cloud platforms (AWS, Google Cloud Platform, or Azure).
• Proficiency in GitOps practices and CI/CD pipeline development and management.
• Observability and monitoring: Integration experience with observability tools (Prometheus, Grafana) and building instrumented, production-ready systems.
• LLM Infrastructure: Experience provisioning and managing Large Language Models through managed services (Azure OpenAI, Google Vertex AI, Amazon Bedrock).
• LLM Tooling: Hands-on experience with LLM gateways (LiteLLM) and agentic frameworks (LangGraph, LangSmith, or similar).
• Vector Systems: Practical experience with vector embedding models and vector databases (Pinecone, Weaviate, Milvus, pgvector).
• RAG Systems: Experience building Retrieval-Augmented Generation systems and evaluating both retrieval quality and generation performance.
• Cloud-native experience with services like Amazon SageMaker, Google Vertex AI, or Azure ML
• Familiarity with ML frameworks and tools: PyTorch, TensorFlow, scikit-learn
• Experience with data infrastructure: Redis, Elasticsearch, Apache Kafka.
• ML experiment tracking and model management: Weights & Biases, MLflow, KubeFlow.
• API development with FastAPI or similar frameworks.
• Java programming experience is a plus.

Interview Process

1. Pre-Screening with the recruiter
2. Tech Interview(ML Fundamentals, Software Engineering) + Live Coding (up to 1,5 hours)
3. ML System Design Interview (up to 60 min)
4. Interview with Engineering Manager (60 min)
5. Final Client Interview (60 min)

We are looking for a Senior Data Engineer. This is not a standard ETL role. You will work on a high-load system processing 10,000+ executions per minute, building scalable pipelines where AI and LLM logic are embedded directly into production data flows.

The role combines data engineering, backend thinking, infrastructure ownership, and real production AI integration.

What you will do:

• Design and maintain scalable data pipelines in Python on Google Cloud Platform
• Build and optimize AI-driven scoring flows using LLMs for real-time identity enrichment
• Work with BigQuery, Apache Spark, and Apache Iceberg for heavy data processing
• Maintain high-load orchestration with custom Python nodes and complex workflows
• Own deployment and release processes (CI/CD)
• Optimize PostgreSQL performance under heavy load
• Investigate incidents and resolve root causes permanently

• Use AI engineering tools such as Claude in daily development

   

Requirements:

• 4+ years of experience in Data Engineering / Backend Engineering
• Strong Python skills
• Commercial experience with production LLM integration (OpenAI / Anthropic / Gemini)
• Strong knowledge of GCP (Cloud Functions, IAM, Networking)
• Experience with BigQuery, Spark, Iceberg
• Good understanding of Kubernetes
• Experience with workflow orchestration tools (n8n is a strong plus)
• Strong practical knowledge of PostgreSQL

• English level B2+

   

What is important for us:

• Ownership mindset
• Fast learning ability
• Strong problem-solving approach
• Active AI usage in engineering work
• Focus on practical results over unnecessary complexity

About the Role

We are looking for a strong engineer who can help us build AI-powered tools and automation for real business problems.

We work with large amounts of business data and are building internal systems for verification, enrichment, and automation. We need someone who can quickly understand a problem, suggest a practical solution, and build it.

This role is very hands-on. We are looking for a builder — someone who likes solving problems, moving fast, and turning ideas into working products.

What You’ll Do

• Build AI agents and automation workflows
• Work with LLMs (OpenAI, Claude, etc.)
• Build tools that help automate manual work
• Integrate APIs and external systems
• Improve speed, quality, and reliability of workflows
• Quickly test ideas and move them into production
• Work closely with business and product teams

What We’re Looking For

Must Have

• Strong Python skills
• Experience building real products, systems, or automation
• Experience working with LLMs and AI tools
• Experience with APIs and integrations
• Ability to solve problems independently
• Fast execution and ownership mindset

Strong Plus

• Deep experience with AI-native development workflows
• Daily use of Claude Code, Codex, Cursor, or similar agentic coding tools
• Experience building products using AI-assisted engineering environments

Nice to Have

• Experience with LangGraph, CrewAI, AutoGen, or similar frameworks
• Experience with RAG, vector databases, or AI memory systems
• GitHub or personal projects
• Experience working with large amounts of data

Important

We are not looking for someone who only builds no-code automations.

We are looking for someone who can understand a business problem, think through the solution, and build working systems.

Please share examples of projects you built and your GitHub (if available).

We Offer

• Remote work
• Long-term collaboration
• High-impact projects
• Modern AI tools and technologies
• Fast-moving environment

Intempt runs 36+ microservices on AWS EKS (Kubernetes 1.25) processing 350M+ events/month. Aurora PostgreSQL 13.8, MSK Kafka 3.3.1, ClickHouse, Apache Flink, HashiCorp Vault, and Redis are all managed through Terraform with SOPS-encrypted secrets, deployed via GitHub Actions CI/CD with OIDC auth.

The infrastructure works. We need someone to own it.

You'll manage the full lifecycle: EKS clusters with spot instances across node groups, Aurora provisioned instances with logical replication, MSK brokers with TLS and auto-scaling storage, Vault HA with KMS auto-unseal, cert-manager for Route53 DNS validation, ALB ingress controllers, cluster autoscaler, EFS, Noobaa object storage, and S3+CloudFront static site delivery. Every service has its own ECR repo with immutable tags, scan-on-push, and a dedicated GitHub Actions deployer role scoped to exactly the permissions it needs.

What you'll own

• EKS cluster operations — node group scaling, spot instance management, Fargate profiles, security groups, OIDC provider config
• Terraform IaC across all environments (staging/QA/production) with S3 state backend and SOPS+KMS secret management
• Database reliability — Aurora PostgreSQL 13.8 (provisioned, 2 instances, encrypted, logical replication), ElastiCache Redis, ClickHouse on Altinity
• Streaming infrastructure — MSK Kafka 3.3.1 (TLS, CloudWatch logs, Prometheus JMX/Node exporters, auto-scaling storage) and Flink Kubernetes Operator 1.4.0
• CI/CD pipeline — GitHub Actions with OIDC auth, 20+ per-service deployer roles mapping git repos to ECR repos, plan/apply workflow with manual production gates
• Secrets and service identity — HashiCorp Vault HA on EKS with PostgreSQL backend, KMS auto-unseal, Transit engine, AppRole auth
• Observability — DataDog agents, Prometheus exporters, CloudWatch, incident response and runbooks
• Backup and DR — AWS Backup (daily, 30-day retention) covering S3 and EFS, RDS automated backups, point-in-time recovery

You are

• 3+ years running production Kubernetes on AWS — not just deploying to it, actually operating clusters at scale
• Deep Terraform experience — you've managed multi-environment IaC with remote state, modules, and encrypted secrets
• Comfortable with managed Kafka (MSK or Confluent), stream processing (Flink/Spark), and the failure modes of distributed messaging
• Familiar with HashiCorp Vault operations — unsealing, secret rotation, Transit engine, AppRole patterns
• Someone who has set up and maintained CI/CD pipelines with least-privilege IAM roles and OIDC federation
• Strong in networking fundamentals — VPCs, security groups, NLBs, ALBs, DNS (Route53), TLS certificates (ACM/cert-manager)
• The person who automates themselves out of toil and writes the runbook before the pager goes off

Stack you'll live in

AWS (EKS, Aurora, MSK, ElastiCache, S3, CloudFront, Route53, ACM, EFS) · Kubernetes 1.25 · Terraform · GitHub Actions · HashiCorp Vault · Apache Flink · ClickHouse (Altinity Cloud) · Loki · Helm · SOPS + KMS · Docker / ECR · Prometheus

Not a fit if

• You've only used managed Kubernetes through a UI — we need someone who reads the Terraform and knows what every resource does
• You think infrastructure-as-code means a CloudFormation template someone else wrote
• You can't debug a pod that won't schedule without googling every error message

Key Responsibilities

• Design, develop, and optimize deep learning models using PyTorch.
• Build and maintain scalable training and evaluation pipelines.
• Lead model selection, experimentation, and fine-tuning activities.
• Improve training performance, efficiency, and scalability across large datasets and compute environments.
• Work with multimodal data sources, including video, images, and audio.
• Provide technical guidance on AI architecture, training strategies, and best practices.
• Collaborate closely with product, engineering, and research teams to translate business objectives into AI solutions.
• Support deployment and operationalization of machine learning models in production environments.

Required Experience

• 5+ years of experience in Machine Learning, Data Science, or AI Engineering roles.
• Strong hands-on experience developing deep learning models with PyTorch.
• Proven experience building and optimizing training pipelines for machine learning systems.
• Deep understanding of model training, hyperparameter tuning, and performance optimization.
• Experience working with computer vision, audio processing, or multimodal AI applications.
• Strong software engineering skills and experience developing production-ready ML solutions.
• Experience with cloud-based or distributed training environments.

Preferred Qualifications

• Experience applying machine learning techniques within behavioral science, human behavior analysis, affective computing, or related domains.
• Experience with video understanding, speech/audio analysis, or multimodal foundation models.
• Familiarity with MLOps practices, model monitoring, and scalable deployment architectures.
• Experience working with large-scale datasets and distributed training frameworks.

Місія ролі:
Забезпечити операційний кіберзахист AI-платформи та AI-сервісів: security monitoring, incident response, vulnerability management, IAM control, auditability, detection engineering і взаємодію з внутрішніми або зовнішніми SOC/IR-командами. Це роль, яка відповідає за те, щоб AI-рішення не були “чорною коробкою” з точки зору безпеки, логування, реагування та контролю.

Обов’язки:
_Налаштування security monitoring для AI-платформи.
_Визначення обов’язкових security logs для AI-сервісів, API, admin actions.
-Побудова detection rules та alerting.
-Управління vulnerability backlog.
-Контроль IAM, privileged access і audit logs.
-Підготовка incident response playbooks.
-Проведення security reviews перед production release.
-Взаємодія з DevOps, AppSec, PM і зовнішніми security-партнерами.
-Участь у прийманні vendor-рішень з точки зору operational security.

Вимоги:
-4+ роки досвіду в SecOps, SOC, infrastructure security або security engineering.
-Досвід роботи з SIEM/log management: Microsoft Sentinel, Splunk, Elastic, OpenSearch, Wazuh або аналоги.
-Практичний досвід incident response: triage, containment, escalation, post-incident review.
-Досвід vulnerability management: scanning, prioritization, remediation tracking.
-Розуміння IAM, MFA, privileged access, RBAC, service accounts.
-Розуміння Linux hardening, network security, firewalling, TLS, VPN.
-Досвід створення security playbooks/runbooks.
-Вміння читати технічні логи та знаходити аномалії.
Бажано:
-Досвід Kubernetes/container security.
-Досвід з MITRE ATT&CK, NIST, ISO 27001.
-Досвід у regulated або critical environments.
-Досвід побудови detection rules для API, identity, infrastructure та application events.
-Досвід інтеграції security logging з DevOps/MLOps платформами.

 

Умови для чинних військових:
-Військова служба
-Служба в Києві (житло не надається), Центр, Київ
-Повне грошове забезпечення для тилової посади

Умови для цивільних:

-Офіційне працевлаштування
-Офісна робота, Київ, Центр
-Можливе бронювання

Ajax Systems, an international tech company and the largest manufacturer of security systems in Europe.

We are looking for a new team member to join our System Devisions as a Business Analyst.

The System Division develops the Ajax software ecosystem — including OS Malevich, the Video Management System, cloud infrastructure, and client applications. The team ensures the stable operation of all system components as a unified digital platform.

Video business part is rapidly growing.  This is a great opportunity to join video team.

Requirements:

• 3+ years of experience as a  Business/System Analyst in software companies;
• Upper-intermediate or Advanced English, strong communication skills;
• Strong analytical skills;
• Experience in collection and elaboration of requirements;
• Experience in creating business requirements, specifications, use cases, user stories, acceptance criteria in a clear and concise form;
• Experience in writing technical documentation, creation of system diagrams, wireframes, and prototypes;
• Basic knowledge of software architecture and microservices;
• Advanced knowledge of IP protocol stack, REST API design, integration protocols and data formats;
• Understanding of web and mobile application development processes;
• Self-motivated, well-organized and have strong innovation and facilitation skills.

Preferred Skills:

• Good knowledge of Atlassian stack (Jira, Confluence) and Figma/Sketch/Balsamiq (or similar);
• Knowledge of multiple functional areas such as product management, engineering, UX/UI, customer support, marketing;
• Pre-sale experience;
• Experience in video related features/products will be a plus.

Responsibilities:

• Create and maintain clear and concise business requirements, specifications, use cases, user stories, and acceptance criteria;
• Support the creation of technical documentation, system diagrams, wireframes, and prototypes;
• Collaborate with cross-functional teams to ensure the accurate interpretation and implementation of business requirements;
• Participate in the development and enhancement of Ajax Video;
• Continuously improve processes and propose innovative solutions to business challenges;
• Performing analysis of competitors;
• Check that new requests don’t break anything in the existing product and compliant with the main product goals;
• Aid in testing of a product.

We offer:

• The opportunity to suggest and implement your own ideas that directly influence the product and its mass production;
• A place in a fast-growing company with a motivated and professional team;
• Competitive salary;
• Medical insurance;
• Corporate English classes;
• The opportunity to participate in Ajax’s internal beta-testing program for security systems;
• Discounts from partner companies;

• Discounts on Ajax products.

   

Ajax Systems is a Ukrainian success story that has grown into a global product. Ajax devices are trusted by more than 4.5 million end users and 330,000 PRO users in over 180 countries. The company provides comprehensive solutions to protect residential and commercial properties of all sizes. Today, Ajax portfolio includes 280 devices for intrusion protection, video surveillance, fire safety, and comfort and automation.

Are you looking to start a career in IT? Do you enjoy searching for and finding information from different sources? Would you like to use and maintain your English skills at work? Then we have an opportunity for you! 

The international IT company Intetics is looking for a Data Processing Specialist to join our team. 

The role involves manually entering and updating information in a database for a mobile app that helps users search for and compare parking options in cities across the US and Europe. If you're interested in launching your IT career and contributing to a useful product, don’t miss this chance! We work on many exciting projects and are confident we can find the best fit for your skills and interests. 

Responsibilities: 

• Analyzing and entering data from various sources (e.g., photos, websites, client-provided materials) 
• Updating and maintaining the client database 
• Performing internal quality control of completed work 
  
  Requirements
•  
• Higher education or students in their final year with availability for full-time work 
• English proficiency (Intermediate and higher) 
• Knowledge of additional languages is a plus 
• Logical thinking and the ability to make quick, practical decisions 
• Good typing speed and accuracy 

Benefits

• A supportive team of talented professionals − great to work with and fun to relax with 
• Full English language course 
• Flexible work schedule 
• Comfortable office space with areas to work and unwind 
• Paid vacation 

Ajax Systems, an international tech company and the largest manufacturer of security systems in Europe.

We are looking for a new team member to join our System Devisions as a Business Analyst.

The System Division develops the Ajax software ecosystem — including OS Malevich, the Video Management System, cloud infrastructure, and client applications. The team ensures the stable operation of all system components as a unified digital platform.

Video business part is rapidly growing.  This is a great opportunity to join video team.

Requirements:

• 3+ years of experience as a  Business/System Analyst in software companies;
• Upper-intermediate or Advanced English, strong communication skills;
• Strong analytical skills;
• Experience in collection and elaboration of requirements;
• Experience in creating business requirements, specifications, use cases, user stories, acceptance criteria in a clear and concise form;
• Experience in writing technical documentation, creation of system diagrams, wireframes, and prototypes;
• Basic knowledge of software architecture and microservices;
• Advanced knowledge of IP protocol stack, REST API design, integration protocols and data formats;
• Understanding of web and mobile application development processes;
• Self-motivated, well-organized and have strong innovation and facilitation skills.

Preferred Skills:

• Good knowledge of Atlassian stack (Jira, Confluence) and Figma/Sketch/Balsamiq (or similar);
• Knowledge of multiple functional areas such as product management, engineering, UX/UI, customer support, marketing;
• Pre-sale experience;
• Experience in video related features/products will be a plus.

Responsibilities:

• Create and maintain clear and concise business requirements, specifications, use cases, user stories, and acceptance criteria;
• Support the creation of technical documentation, system diagrams, wireframes, and prototypes;
• Collaborate with cross-functional teams to ensure the accurate interpretation and implementation of business requirements;
• Participate in the development and enhancement of Ajax Video;
• Continuously improve processes and propose innovative solutions to business challenges;
• Performing analysis of competitors;
• Check that new requests don’t break anything in the existing product and compliant with the main product goals;
• Aid in testing of a product.

We offer:

• The opportunity to suggest and implement your own ideas that directly influence the product and its mass production;
• A place in a fast-growing company with a motivated and professional team;
• Competitive salary;
• Medical insurance;
• Corporate English classes;
• The opportunity to participate in Ajax’s internal beta-testing program for security systems;
• Discounts from partner companies;

• Discounts on Ajax products.

   

Ajax Systems is a Ukrainian success story that has grown into a global product. Ajax devices are trusted by more than 4.5 million end users and 330,000 PRO users in over 180 countries. The company provides comprehensive solutions to protect residential and commercial properties of all sizes. Today, Ajax portfolio includes 280 devices for intrusion protection, video surveillance, fire safety, and comfort and automation.