Jobs Slovakia

Description

Our Client is a specialist merchant banking and financial services company, serving clients with tailored lending, financing and investment solutions, primarily across the UK and Ireland. We are seeking an experienced Azure-focused Full-stack Engineer to design, build and support cloud‑based applications and services supporting the Client’s Invoice Finance business unit. The role involves working with architects, engineering teams and operational stakeholders to deliver secure, scalable and high‑performing Azure‑native solutions.

Requirements

• Minimum of 5 years’ experience in developing and deploying cloud-based applications
• Expertise in Python
• Expertise in Azure and its services
• Azure Functions, App Services, Container Apps
• API Management & Application Gateway
• Azure SQL / Cosmos DB
• Azure Queue Storage, Event Grid
• Azure Key Vault, Managed Identities
• Static Web Apps (advantageous)
• Understanding of microservices, and event-driven architectures
• Experience with Azure Monitor, Application Insights, Log Analytics

Desirable Skills (Preferred but not essential)

• Experience in Java and JavaScript
• Building automated CI/CD Pipelines in Azure DevOps.
• Experience in financial services or regulated environments
• Understanding of OAuth2 and API security standards
• Experience integrating third-party APIs
• Familiarity with data governance and secure design practices
• Ability to contribute to high-level design documentation

Job responsibilities

• Design, develop, and deploy cloud applications and APIs using Azure Functions, App Services, Container Apps, API Management, and related Azure PaaS components.
• Integrate Azure services into business workflows, ensuring solutions meet performance, security, and scalability requirements.
• Develop secure, well‑structured APIs and gateways for interfacing with internal and external systems.
• Configure monitoring, telemetry, and diagnostics with Azure Monitor, Application Insights, and Log Analytics.
• Troubleshoot issues across distributed cloud environments to maintain availability.
• Implement authentication and authorization using Microsoft Entra ID.
• Apply secure configuration and secrets management using Azure Key Vault.
• Collaborate with architects, product owners, and cross‑functional teams to translate business needs into Azure-native solutions.

Job Description

• Master’s degree in Computer Science, Data Science, Applied Mathematics, or a related field.
• 7+ years of professional experience in machine learning, data science, or AI engineering.
• Proven experience as a technical lead or solution architect for ML/AI projects, with accountability for end-to-end delivery in a production environment.
• Strong proficiency in Python and the modern ML/AI ecosystem (e.g., PyTorch, Hugging Face, LangChain/LangGraph, Scikit-learn).
• Hands-on experience with data ingestion, RAG pipeline optimization, model evaluation, deployment (MLOps), and monitoring.

• Deep understanding of generative AI (LLMs, embeddings, RAG, prompt engineering, and agentic reasoning) and its practical constraints (latency, cost, safety, hallucinations).

   

Job Responsibilities

• Work with stakeholders to translate domain-specific knowledge into "Spec-Driven" ML architectures and agentic workflows.
• Design and implement solutions that combine the reasoning power of LLMs with the precision of structured knowledge (ontologies/knowledge graphs).
• Pilot the Claude Code CLI and other agentic tools to generate code, run automated tests, and maintain "Context Hygiene" within the project repository.
• Apply structured 4-phase debugging to ML pipelines, focusing on root-cause analysis of hallucinations, retrieval failures, and data drift.
• Define and automate "Skills" (prompt libraries, evaluation scripts, and deployment templates) to be re-used across multiple AI-Native pods.
• Define and implement quality gates, safety metrics, and cost-control practices for GenAI components.

• Lead by example in adopting AI-Native practices, mentoring the AI Apprentice and other team members in the "People + Agents" delivery model.

   

Department/Project Description

We are seeking a Senior ML / Data Science Lead to join our AI & Data practice and spearhead a next-generation initiative within our AI-Native Delivery Pod. In this role, you will combine high-end machine learning engineering with a revolutionary approach to software delivery. You will not just build AI; you will build AI using AI, orchestrating agentic workflows to deliver complex solutions at a velocity traditional teams cannot match.

You will focus on building practical, production-ready solutions that bridge the gap between unstructured data and structured logic using LLMs, agentic workflows, and knowledge representations (ontologies, knowledge graphs). You are expected to be an "AI-Native" pioneer, utilizing tools like Claude Code, Cursor, and custom MCP servers to automate your own development lifecycle—from data exploration and model evaluation to code generation and documentation.

The client is a market leader in the provision of employee benefits in the West of Europe.

The scope of the project is : Development, sustaining, testing and support for existing and new software applications, products and platforms.
We are following the client processes in terms of development, testing, product development, security and quality, in order to provide the needed support in maintaining and extending their internal tools.

Requirements:

• 5+ years of overall commercial experience
• Strong understanding of mobile design and development principles, patterns and techniques
• Strong knowledge of React Native and GraphQL
• Practical experience with deploying/publishing application to market
• Strong communication skills for effective daily cooperation with customer

Would be a plus:

• BS in computer science or a related field
• Experience with developing native iOS/Android applications
• Experience with other frameworks/libs (e.g. Flutter, React, Vue)
• Understanding or experience with WebRTC

Key skills:

JavaScript, React Native, GraphQL, WebRTC

Job responsibilities:

• Take a full ownership of ReactNative development, including mentoring and leading an existing team
• Cooperate with web designers and Product Owner to define user experience and interface
• Close cooperation with customer R&D team on regular basis, full driving of e2e service creation
• Speed up application development, help to improve application performance and infrastructure, move endpoints to use GraphQL
• Write well designed and efficient code by using the best software development practices, participate in code review process

Required Skills and Experience (Must Have)

• Hands-on experience with AWS (e.g., IAM, SQS, RDS, Redis/ElastiCache, S3, SNS, Lambda, VPC), including troubleshooting misconfigurations and dependency issues across environments.
• Strong proficiency in Python for automation frameworks, test development, and scripting; ability to read/debug Go services is a plus.
• Practical Kubernetes experience (namespaces, Deployments, Services, ConfigMaps/Secrets, RBAC, HPA, Helm) sufficient to reason about application deployment, scaling, and test impact.
• Experience designing black-box/gray-box tests for infrastructure and configuration correctness, ideally in a GitOps / Infrastructure-as-Code setup (Terraform, Git repositories as the source of truth).
• Comfortable using observability platforms (New Relic, OpenTelemetry, or similar) to monitor latency, error rates, saturation, and dependencies as part of validation and troubleshooting.
• Solid QA fundamentals: risk-based testing, regression/system testing, integration testing, and exploratory testing, ideally in a safety- or compliance-critical domain (e.g., medical devices, FinTech).
• Strong communication: ability to explain complex systems clearly, lead discussions on release risk, and collaborate effectively with cross-functional teams.

Preferred Skills (Nice to Have)

• Experience validating Infrastructure-as-Code using tools like Terratest or equivalent custom test frameworks to verify Terraform modules, networking, RBAC, and critical resources.
• Familiarity with GitOps tooling and workflows such as Argo CD, Helmfile/Helm charts, and Git-based environment promotion.
• Experience designing and running performance, load, or stress tests (e.g., JMeter, k6, Gatling) and interpreting results to drive scaling and optimization decisions.
• Background or exposure to SRE/DevSecOps practices (SLIs/SLOs, reliability and security checks in pipelines), and observability in service meshes (Istio/Linkerd) or with Cilium/eBPF.
• Prior experience in medical/HealthTech products or other regulated industries, understanding compliance, audit trails, and validation expectations.

Job Responsibilities

As a Senior Infrastructure-aware QA Automation Specialist, you will design and implement automated tests for APIs, backend services, and cloud infrastructure, ensuring correctness across environments and CI/CD pipelines for medical software and connected devices. You will collaborate closely with Developers, SRE/DevOps, and Product to use IaC, GitOps, and observability platforms (e.g., New Relic) to validate system health, scalability, and reliability before and after releases. 

Key Responsibilities

• Design, implement, and maintain automated test suites for APIs, backend services, and infrastructure/configuration correctness in AWS and Kubernetes-based environments.
• Integrate tests into CI/CD pipelines (e.g., GitLab/Jenkins) as risk-based quality gates, defining stages, thresholds, and actions on failure in collaboration with Dev and SRE teams.
• Validate infrastructure and environments across Dev/QA/Prod-like stages using Terraform/IaC definitions, Kubernetes resources, and configuration checks, preventing config-to-resource mismatches.
• Use observability tools (New Relic, OpenTelemetry-based stacks, or similar) to define key signals, validate releases, investigate incidents, and distinguish between application, infra, and environment noise.

• Contribute to performance and scalability testing (e.g., JMeter or similar), helping design scenarios, interpret metrics, and influence scaling and capacity decisions.

   

Department/Project Description

Our client is an innovative manufacturer of medical devices in the United States, producing devices and software applications.

In this project, you will have a great opportunity to be involved in the full development life cycle of medical software, which is designed to assist individuals by processing information from medical devices to identify health trends and track daily activities. In addition, there are opportunities to work with medical devices, in the scope of end-to-end testing.

From Ukraine to Europe: Nova Post Europe is already operating in 16 countries and continues to grow every day. Our team is united by a desire to move forward, achieve results, and explore new opportunities together. We are looking for people who want to create more — a large-scale European project born in Ukraine.

🧩 Main Responsibilities

• Full Sales Cycle: Managing the entire process from lead acquisition and nurturing to final contract signing.
• Lead Generation: Proactively identifying potential clients through cold calling, attending industry events, and leveraging referrals.
• Presentations & Negotiations: Conducting high-impact online and offline meetings, effectively presenting company services, and handling complex objections.
• Commercial Proposals: Preparing tailored individual offers and leading negotiations to ensure win-win outcomes.
• CRM Management: Diligently updating the sales pipeline, managing qualified leads, and preparing accurate performance reports.
• Client Handover: Collaborating closely with the Account Management team to ensure a seamless client transition after deal closure.

✅ Key Requirements

• Experience: 2+ years of B2B sales experience (a background in logistics, CEP, or freight forwarding is a significant plus).
• Languages: Slovak and English (both at a fluent/professional level) are mandatory.
• German Language: Proficiency in German is highly desirable (a strong advantage).
• Skills: Exceptional communication and negotiation skills with a proactive, results-oriented mindset.
• Qualities: High level of independence, quick learning ability, and readiness for new challenges in a fast-paced environment.

💸 We Offer

• Stability: Official employment under a Slovak labor contract with full social benefits.
• Compensation: Competitive fixed salary + performance-based bonuses (KPI).
• Vacation: 25 days of paid annual leave.
• Career Path: Tangible opportunities to grow into a Head of Sales Central Europe role.
• Environment: A dynamic international setting with a supportive and friendly team.
• Tools: Provision of a laptop, mobile phone, and support for business travel.

How to Apply: Please submit your CV and any relevant references. We look forward to meeting you!

Nova Post is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

• #NovaPost #SalesManager #Slovakia #Logistics #B2B #Career #BusinessDevelopment #Slovak #English #German #JobsInSlovakia

GlobalLogic is seeking a Back-end Engineer to help us improve and help to develop the new modern personalized digital platform. Every engineer in our team has an opportunity to make a tremendous impact. We are looking for innovative and passionate engineers who want to take ownership of features and projects and collaborate with other developers and product managers to evaluate, design, and implement from top to bottom. We will provide opportunities to work with cutting-edge technology that helps millions of people save their money.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, or related field; or equivalent experience.
• Professional back-end experience (5+ years)
• Proficiency in JavaScript and NodeJS
• Proficiency in Linux
• Basic Knowledge in C++
• Experience with relational databases, NoSQL databases, and key-value stores.
• Familiarity with version control systems, particularly git.
• Hands-on experience with cloud platforms, preferably Microsoft Azure.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Ability to work effectively in a fast-paced and dynamic environment.

Job responsibilities

• Analyse requirements and design application’s functionality to solve business problems
• Design, implementation and integration of frontend and backend services
• Analysis of technical problems
• Creation and maintenance of project documentation
• Cooperation with other project members and the client regarding ongoing activities

We are seeking a highly skilled GenAI Engineer to design, develop, and deploy Large Language Model (LLM)–driven applications and intelligent agent systems. This role combines prompt engineering, pipeline architecture, and software development with MLOps and data engineering to deliver scalable, secure, and production-grade Generative AI solutions.

Requirements

• Master’s / Ph.D. in Computer Science, Data Science, Applied Mathematics, or a related field.
• 5+ years of experience in software or ML engineering
• 2 years in LLM / GenAI development.
• Strong Python programming skills and experience with ML/AI stacks
• Hands-on experience with LLM APIs (OpenAI, Anthropic, Mistral, Hugging Face)
• Experience building RAG pipelines (FAISS, Weaviate, Chroma, Milvus) and with vector embeddings.
• Familiarity with agent frameworks (LangChain, DSPy, CrewAI, LangGraph).
• Excellent problem-solving skills.

• Excellent analytical, communication, and teamwork skills.

   

  Preferred:

• Experience in fine-tuning or adapting LLMs.
• Exposure to multimodal GenAI and contextual evaluation tools.
• Familiarity with GenAI UX development (Streamlit, Gradio, React-based chat UIs).

Job responsibilities

• Design, implement, and optimize GenAI pipelines.
• Develop prompt engineering frameworks
• Build agentic systems using various frameworks for autonomous and/or multi-step reasoning.
• Architect and deploy GenAI APIs and services
• Establish LLMOps practice: versioning, benchmarking, and monitoring.
• Collaborate with data engineers on ETL and knowledge ingestion pipelines
• Implement GenAI UX layers (chat interfaces, dashboards, plugins)
• Support pre-sales PoCs and cross-functional demos showcasing GenAI capabilities.

Job Description

• 8+ years of experience as an AI/ML Engineer or in a similar data-intensive role
• Hands-on expertise in AI/ML pipelines and model lifecycle management
• Strong experience in data curation, feature engineering, and preparing datasets for ML
• Proven track record integrating ML solutions into CI/CD pipelines
• Experience training, fine-tuning, evaluating, and deploying ML models in production environments
• Proficiency in Python for ML integration and automation
• Knowledge of Jira or other issue tracking systems
• Upper-intermediate English proficiency (spoken and written)

Job Responsibilities

• Lead AI-driven initiatives to integrate smart automation into CI/CD pipelines, accelerating development and reducing manual overhead
• Curate, annotate, and optimize datasets to train models that improve engineering processes
• Build recommendation systems and fine-tune models to enhance team decision-making and workflow efficiency
• Implement AI-based Jira issue triaging to streamline task management
• Collaborate closely with developers and product teams to embed ML solutions that deliver measurable impact

Department/Project Description

We are seeking a highly skilled AI/ML Engineer to lead the digital transformation of our software development and testing workflows.

Our client is a leading American multinational information technology corporation, headquartered in California, USA, recognized as one of the world's largest companies in the IT sector. 

The company specializes in developing and manufacturing computing, data storage, and networking hardware, alongside designing software and delivering services. Their major product lines include personal computing devices, enterprise servers, and a diverse range of printers and imaging products.

The project involves the development of a comprehensive software package for a large OEM vendor. This software is designed for both enterprise and consumer environments and is installed on endpoint devices. It integrates various cutting-edge services, such as AI companion tools, workplace management solutions, and Smart Office integration.

As part of the GlobalLogic team, you will grow, be challenged, and expand your skill set working alongside highly experienced and talented people.

If this sounds like an exciting opportunity for you, send over your CV!

About us:

ARRISE sets the benchmark for service delivery and excellence in the iGaming industry. Playing a key role in the success of its clients, which include Pragmatic Play, a brand relied upon by the world’s biggest online casinos for its cutting-edge products, ARRISE helps to deliver exceptional gaming experiences to millions of players worldwide.

Our global team of talented and driven professionals are shaping the future of iGaming. Headquartered in Gibraltar, we have offices spanning Canada, India, the Isle of Man, Latvia, Malta, Romania, Serbia, Bulgaria, and the UAE, and more exciting destinations on the horizon.

At ARRISE, we take pride in creating growth opportunities at all levels, constantly investing in our people while welcoming new colleagues and forging strategic partnerships that open new opportunities for success. 

To achieve this, we bet on ourselves. We know that success is a collective effort, and our team is driven by ambition, collaboration, and a shared commitment to grow and succeed—while embracing every step of the journey.

Be part of the future of iGaming with ARRISERS! See a job that excites you? Apply now, and our friendly recruitment team will connect with you soon. Your journey starts here!
 

Required skills:

· 5+ years of Java development.

· Strong programming skills with Java.

· Experience with OOP/OOD.

· Experience with clustered applications, pooling, connection management, transactions.

· Familiarity with programming specifics like asynchronous I/O, concurrency, distributed web systems and regression.

· A good foundation in algorithms, design patterns, and data structures.

· Experience with unit/functional testing.

· Strong experience with the most of Spring Framework/JDBC, databases (PostgreSQL).

· Strong experience with Javascript and React Framework.

· Maven, Git.

· Strong understanding of RDBMS concepts + SQL.
 

Will be a plus:

· Familiarity with NoSQL databases like Redis.

· Experience with Kubernetes and Nomad.

· Experience with AWS services.

· Experience with Oracle databases.

· Experience with distributed messaging systems, particularly RabbitMQ.

· Experience in application and infrastructure monitoring.

· Proven ability to troubleshoot production problems related to software applications.

· Exposure to high-load systems.

· Good spoken and written English skills.

Company offers:

· Long-term employment.

· Flexible timetable.

· Comfortable working conditions.

· Paid vacation and sick leaves.

· English lessons, gym.

· Competitive salary level.

The client is a luxury skincare and beauty group. The client is based in San Francisco and sells luxury skincare products worldwide.

Its main IT “product” is its e-commerce website, which functions as a digital platform to sell products, educate customers, and personalize experiences.

• Runs on Salesforce Commerce Cloud (formerly Demandware) — an enterprise e-commerce platform that supports online shopping, order processing, customer accounts, and product catalogs.
• Hosted on cloud infrastructure (e.g., AWS, Cloudflare) for reliable performance and security
  Uses HTTPS/SSL encryption to secure data transfers.
• Integrated marketing and analytics technologies such as Klaviyo (email & SMS automation), Google Tag Manager, and personalization tools to track behavior, optimize campaigns, and increase conversions

It’s both a shopping platform and a digital touchpoint for customers worldwide.

Requirements

• 4+ years of experience as a Data Engineer, Analytics Engineer, or in a similar data-focused role.
• Strong SQL skills for complex data transformations and analytics-ready datasets.
• Hands-on experience with Python for data pipelines, automation, and data processing.
• Experience working with cloud-based data platforms (AWS preferred).
• Solid understanding of data warehousing concepts (fact/dimension modeling, star schemas).
• Experience building and maintaining ETL/ELT pipelines from multiple data sources.
• Familiarity with data quality, monitoring, and validation practices.
• Experience handling customer, transactional, and behavioral data in a digital or e-commerce environment.
• Ability to work with cross-functional stakeholders (Marketing, Product, Analytics, Engineering).

Nice to have:

• Experience with Snowflake, Redshift, or BigQuery.
• Experience with dbt or similar data transformation frameworks.
• Familiarity with Airflow or other orchestration tools.
• Experience with marketing and CRM data (e.g. Klaviyo, GA4, attribution tools).
• Exposure to A/B testing and experimentation data.
• Understanding of privacy and compliance (GDPR, CCPA).
• Experience in consumer, retail, or luxury brands.
• Knowledge of event tracking and analytics instrumentation.
• Ability to travel + visa to the USA

Job responsibilities

• Design, build, and maintain scalable data pipelines ingesting data from multiple sources:
  e-commerce platform (e.g. Salesforce Commerce Cloud), CRM/marketing tools (Klaviyo), web analytics, fulfillment and logistics systems.
• Ensure reliable, near-real-time data ingestion for customer behavior, orders, inventory, and marketing performance.
• Develop and optimize ETL/ELT workflows using cloud-native tools.
• Model and maintain customer, order, product, and session-level datasets to support analytics and personalization use cases.
• Enable 360° customer view by unifying data from website interactions, email/SMS campaigns, purchases, and returns.
• Support data needs for personalization tools (e.g. product recommendation quizzes, ritual finders).
• Build datasets that power marketing attribution, funnel analysis, cohort analysis, and LTV calculations.
• Enable data access for growth, marketing, and CRM teams to optimize campaign targeting and personalization
• Ensure accurate tracking and validation of events, conversions, and user journeys across channels.
• Work closely with Product, E-commerce, Marketing, Operations, and Engineering teams to translate business needs into data solutions.
• Support experimentation initiatives (A/B testing, new digital experiences, virtual stores).
• Act as a data partner in decision-making for growth, CX, and operational efficiency.
• Build and manage data solutions on cloud infrastructure (e.g. AWS).
• Optimize storage and compute costs while maintaining performance and scalability.

Position name: React Native Expert Consultant
Level: Senior Only
Hard skills requirements (including years):

• A minimum of 6 years developing React Native applications.
• Experience with Expo, Expo Router, Tamagui UI Toolkit, Zustand/Tanstack Query for state management

Soft skills requirements:

• Ability to work independently and collaboratively in a team environment.
• Excellent problem-solving skills and attention to detail.

Office/Remote: Remote
Project tasks:

• Work with our Technical Lead (TL) and dev team to develop an application boilerplate as described in the App Bolierplate section;
• Assist the team with best practice recommendations for React -Native development and application structure;
• Assist the team with recommendations and research for libraries to use in the project.

English level: Upper

Job Description

Uses best practices and knowledge of AI/ML methodologies to improve products and services through intelligent automation. Solves complex business problems by designing novel AI agent solutions that combine existing technologies in innovative ways.
 

Job Responsibilities

• 4-6 years’ hands-on experience working as Sr AI/ML Developer with at least three complete agentic AI system implementations
• 4-6 years’ hands-on experience with cloud AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI)
• 4-6 years hands-on experience with Python AI/ML frameworks (LangChain, LlamaIndex, Transformers, PyTorch)
• 4-6 years’ hands-on experience integrating LLMs with external systems and enterprise applications
• Experience working with vector databases, knowledge graphs, and RAG pipeline development
• Advising on best practices for AI agent development and enterprise AI integration processes
• Experience in deploying AI models and agents in multiple environments (dev, staging, production)
• Experience managing stakeholder communication regarding AI capabilities, limitations, and project timelines, including managing expectations, foreseeing AI-related risks, and reporting them.
   

Department/Project Description

This position will design and build intelligent AI agent systems, LLM-based applications, and autonomous
workflow solutions within the context of our enterprise applications. We are looking for a candidate to provide
expertise in Large Language Models, multi-agent architectures, RAG systems, Python development, cloud AI
services, and enterprise AI integration. This individual will have broad experience in developing and deploying
agentic AI solutions that can autonomously perform complex business tasks.

How about building a high-load data architecture that handles millions of transactions daily?
We’re looking for a Senior Data Engineer with growing to Data Lead.
For design scalable pipelines from scratch.
An international iGaming company & Data-first mindset,
Remote, TOP-Salary

Responsibilities

– Build and run scalable pipelines (batch + streaming) that power gameplay, wallet, and promo analytics.

– Model data for decisions (star schemas, marts) that Product, BI, and Finance use daily.

– Make things reliable: tests, lineage, alerts, SLAs. Fewer surprises, faster fixes.

– Optimize ETL/ELT for speed and cost (partitioning, clustering, late arrivals, idempotency).

– Keep promo data clean and compliant (PII, GDPR, access controls).

– Partner with POs and analysts on bets/wins/turnover KPIs, experiment readouts, and ROI.

– Evaluate tools, migrate or deprecate with clear trade-offs and docs.

– Handle prod issues without drama, then prevent the next one.

Requirements

– 4+ years building production data systems. You’ve shipped, broken, and fixed pipelines at scale.

– SQL that sings and Python you’re proud of.

– Real experience with OLAP and BI (Power BI / Tableau / Redash — impact > logo).

– ETL/ELT orchestration (Airflow/Prefect or similar) and CI/CD for data.

– Strong grasp of warehouses & lakes: incremental loads, SCDs, partitioning.

– Data quality mindset: contracts, tests, lineage, monitoring.

– Product sense: you care about player/clients impact, not just rows processed.

✨ Nice to Have (tell us if you’ve got it)

– Kafka (or similar streaming), ClickHouse (we like it), dbt (modular ELT).

– AWS data stack (S3, IAM, MSK/Glue/Lambda/Redshift) or equivalents.

– Containers & orchestration (Docker/K8s), IaC (Terraform).

– Familiarity with AI/ML data workflows (feature stores, reproducibility).

– iGaming context: provider metrics bets / wins / turnover, regulated markets, promo events.

We offer

– Fully remote (EU-friendly time zones) or Bratislava/Malta/Cyprus if you like offices.

– Unlimited vacation + paid sick leave.

– Quarterly performance bonuses.

– No micromanagement. Real ownership, real impact.

– Budget for conferences and growth.

– Product-led culture with sharp people who care.

🧰 Our Day-to-Day Stack (representative)
Python, SQL, Airflow/Prefect, Kafka, ClickHouse/OLAP DBs, AWS (S3 + friends), dbt, Redash/Tableau, Docker/K8s, GitHub Actions.

About the Company

ARVI VR is a global leader in developing AAA-level virtual reality content for location-based entertainment (LBE). Founded in 2016 and trusted by over 1,000 B2B partners worldwide, ARVI VR offers the largest in-house VR game library on the market with 21+ titles and growing — including immersive escape rooms, multiplayer shooters, and adventure experiences delivered to entertainment venues across the globe.

Beyond game development, ARVI VR builds a complete ecosystem for LBE operators, combining high-quality content creation with automation tools, booking systems, and operational support.

We are also the team behind TimeShift, our own physical VR entertainment center in Bratislava. TimeShift serves as both a live testing ground and a marketing-driven project where we manage the full strategy — from positioning and campaigns to performance marketing and content creation. It allows us to operate not only as a technology provider, but also as hands-on industry experts who understand the business from the inside.

Your Team

You’ll join the Marketing team, working closely with Elizaveta, Head of Marketing, alongside a Marketing Project Manager and a dynamic group of five+ part-time freelancers. We’re a small, agile team where your contributions won’t go unnoticed — your work will have real visibility and impact.

Responsibilities

In this role, you will be responsible for two core directions: professional video editing and AI-powered content creation. Every creative you produce will serve as a marketing material and advertisement, and together with the team, you will work on improving results.
 

Video Editing

• Edit raw video footage into polished marketing creatives and advertising materials
• Work within established editing approaches, templates, and brand guidelines while continuously improving them
• Research and propose new editing styles, templates, visual trends, and creative formats
• Pay meticulous attention to detail: pacing, transitions, sound design, and music selection — everything must be at the highest level
• Collaborate with the marketing team to align video content with campaign goals, customer journey maps, and overall team objectives
• Analyze the performance of published creatives together with the team, extract insights, and apply learnings to future content
   

AI Content Creation

• Learn and master AI-powered content creation tools (comprehensive in-house training, tool access, and courses will be provided)
• Generate raw AI materials and edit them into ready-to-use, professional marketing creatives
• Stay current with the latest developments in AI content generation and continuously upgrade your skills
• Experiment with new AI techniques and workflows to expand the team’s creative capabilities
   

Strategy & Analysis

• Participate in regular performance reviews of published creatives and contribute actionable insights
• Develop an understanding of marketing fundamentals, customer journey mapping, and ARVI VR’s goals
• Proactively suggest new creative concepts and campaign ideas based on data, trends, and competitor analysis
• Think as part of the marketing team, not just as an executor — understand how your work fits into the bigger picture and supports the team’s goals
  
  Requirements
  Skills & Qualifications:
• Proven experience in video editing with a strong portfolio
• Proficiency in professional video editing software (Adobe Premiere Pro, After Effects, DaVinci Resolve, or similar)
• Strong sense of visual storytelling, composition, color grading, and motion graphics
• Exceptional attention to music selection, sound design, and audio-visual synchronization
• Analytical mindset: ability to interpret content performance data and translate it into creative decisions
• Excellent communication and teamwork skills
  
  Mindset & Attitude:
   
• A genuine passion for video creation — you live and breathe this craft
• An ownership mentality: you care about the quality and impact of what the team creates together
• Curiosity about marketing, advertising, and what makes content effective
• Eagerness to learn AI content creation tools (prior experience is a plus but not required)
• A self-starter who constantly brings new ideas, inspiration, and improvements to the team
• Hardworking and ready to invest significant time and energy into producing outstanding content
• Collaborative spirit, positive attitude, and creativity
• You genuinely enjoy what you do, and it shows in your work
  
  Working Conditions:
   
• Salary: $600–800
• Hybrid work model
• Working hours: Monday–Friday, 10:00 AM – 7:00 PM
• Paid vacation and sick leave
• Equipment and professional software provided
• Access to cutting-edge AI creation tools, courses, and training to grow your skill set
• A creative, high-impact role in the world’s leading location-based VR entertainment company
• A passionate, ambitious team that loves what they do
• The opportunity to see your creative work reach 1,000+ partner locations worldwide
• An environment where your ideas and creativity are valued and encouraged

GlobalLogic is searching for a motivated, results-driven, and innovative software engineer to join our project team at a dynamic startup specializing in pet insurance. Our client is a leading global holding company that is dedicated to developing an advanced pet insurance claims clearing solution designed to expedite and simplify the veterinary invoice reimbursement process for pet owners.
You will be working on a cutting-edge system built from scratch, leveraging Azure cloud services and adopting a low-code paradigm. The project adheres to industry best practices in quality assurance and project management, aiming to deliver exceptional results.
We are looking for an engineer who thrives in collaborative, supportive environments and is passionate about making a meaningful impact on people’s lives. If you are enthusiastic about building innovative solutions and contributing to a cause that matters, this role could be an excellent fit for you.

Requirements

• Strong hands-on experience with Azure Databricks (DLT Pipelines, Lakeflow Connect, Delta Live Tables, Unity Catalog, Time Travel, Delta Share) for large-scale data processing and analytics
• Proficiency in data engineering with Apache Spark, using PySpark, Scala, or Java for data ingestion, transformation, and processing
• Proven expertise in the Azure data ecosystem: Databricks, ADLS Gen2, Azure SQL, Azure Blob Storage, Azure Key Vault, Azure Service Bus/Event Hub, Azure Functions, Azure Data Factory, and Azure CosmosDB
• Solid understanding of Lakehouse architecture, Modern Data Warehousing, and Delta Lake concepts
• Experience designing and maintaining config-driven ETL/ELT pipelines with support for Change Data Capture (CDC) and event/stream-based processing
• Proficiency with RDBMS (MS SQL, MySQL, PostgreSQL) and NoSQL databases
• Strong understanding of data modeling, schema design, and database performance optimization
• Practical experience working with various file formats, including JSON, Parquet, and ORC
• Familiarity with machine learning and AI integration within the data platform context
• Hands-on experience building and maintaining CI/CD pipelines (Azure DevOps, GitLab) and automating data workflow deployments
• Solid understanding of data governance, lineage, and cloud security (Unity Catalog, encryption, access control)
• Strong analytical and problem-solving skills with attention to detail
• Excellent teamwork and communication skills
• Upper-Intermediate English (spoken and written)

Job responsibilities

• Design, implement, and optimize scalable and reliable data pipelines using Databricks, Spark, and Azure data services
• Develop and maintain config-driven ETL/ELT solutions for both batch and streaming data
• Ensure data governance, lineage, and compliance using Unity Catalog and Azure Key Vault
• Work with Delta tables, Delta Lake, and Lakehouse architecture to ensure efficient, reliable, and performant data processing
• Collaborate with developers, analysts, and data scientists to deliver trusted datasets for reporting, analytics, and machine learning use cases
• Integrate data pipelines with event-based and microservice architectures leveraging Service Bus, Event Hub, and Functions
• Design and maintain data models and schemas optimized for analytical and operational workloads
• Identify and resolve performance bottlenecks, ensuring cost efficiency and maintainability of data workflows
• Participate in architecture discussions, backlog refinement, estimation, and sprint planning
• Contribute to defining and maintaining best practices, coding standards, and quality guidelines for data engineering
• Perform code reviews, provide technical mentorship, and foster knowledge sharing within the team
• Continuously evaluate and enhance data engineering tools, frameworks, and processes in the Azure environment