Jobs at Djinni

Project Manager (iGaming / Casino Games)
 

About the Role

We are looking for an experienced Project Manager to join our iGaming team and oversee the development and delivery of online casino games.

The main focus of this role is managing development and QA processes, ensuring smooth delivery, clear communication, and on-time releases.
 

Responsibilities

• Manage the development lifecycle of casino games from approved design handoff to release.
• Coordinate Developers and QA Engineers on a daily basis.
• Simultaneously manage the development of 4 casino games in parallel every month.
• Create and maintain project plans, timelines, sprint schedules, and release plans.
• Track progress, identify risks, and remove blockers.
• Facilitate daily stand-ups, sprint planning, status updates, and delivery meetings.
• Work closely with the separate Design PM to receive finalized designs, assets, and requirements.
• Ensure development and QA teams have all required materials before implementation starts.
• Monitor QA progress, bug fixing, builds, and release readiness.
• Communicate project status, risks, and delivery updates to internal stakeholders.
• Ensure deadlines, quality standards, and delivery expectations are met.
   

Requirements

• 3+ years of Project Management experience in iGaming, Casino, Gaming, or Software Development.
• Proven experience managing Developers and QA teams.
• Strong understanding of Agile/Scrum or Kanban workflows.
• Experience managing multiple projects simultaneously.
• Ability to manage 4 active game development streams at the same time.
• Experience with Jira, Confluence, ClickUp, Linear, or similar tools.
• Strong organizational and communication skills.
• Fluent English, written and spoken.
   

Nice to Have

• Experience with Slot, Table, Instant Win, Crash, or other casino games.
• Understanding of RGS integrations, casino platforms, and game release workflows.
• Experience with remote or distributed teams.
• Technical background or strong understanding of software development processes.
   

Success Metrics

• Smooth delivery of 4 casino games per month.
• Clear coordination between Developers and QA.
• On-time milestones and release readiness.
• Fast blocker resolution and transparent project reporting.
• High-quality builds with efficient QA and bug-fixing cycles.
   

Benefits

• Remote-first work environment.
• Long-term projects in the iGaming industry.
• Opportunity to work with international teams and casino game products.
• Competitive compensation based on experience.

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.

Equals5 helps pharmaceutical companies run precisely targeted ad campaigns on social platforms by identifying healthcare professionals and the consumer signals that reach them. The Identity team builds the data, scoring, and targeting systems that make this possible.

We are looking for a Data Analyst  to join the Identity team at Equals5. This is not a standard analyst role. We are building a dynamic identity resolution system where AI is deeply integrated — both as a productivity multiplier and as a core component of our data processing logic for identity resolution and LLM-based scoring.

We run enrichment against 70+ TB of data, apply AI and LLM-based scoring on top, and process around 20 million enrichment operations per day across hundreds of thousands of records.

The analytical challenges ahead are substantial: how to measure the quality of AI-driven scoring, how to validate that a change makes the system better, how to know where our money and time deliver the most value, and how to turn the questions our internal teams bring in into fast data-backed answers. You will own this side of the business, working daily alongside engineers and the product lead to turn these challenges into decisions that ship.

The main part of the role is not building dashboards — it is the data work that makes a meaningful dashboard possible in the first place. Concretely, you will be:

• Looking at data from multiple vendors side by side and deciding what to trust.
• Reconciling entities across sources that have different shapes and quality.
• Proposing and validating the logic that matches and scores them.
• Defining metrics and ground truth for questions nobody has asked before.
• Tracing why numbers don't line up across partial and sometimes contradictory sources.

Dashboards and visualizations are part of how findings get communicated, but they come at the end — the surface of the work, not its core. Most of your time is spent on what sits underneath: methodology, judgment calls on data quality, and shaping how the domain understands its own numbers.

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 

• 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.

What We Offer

• Fully remote with flexible hours, with working overlap in CET ±2 hours for syncs.
• AI-Native Environment: We provide licenses for Claude Code and encourage using the bleeding edge of AI tech — both for daily work and as part of product logic.
• High-Impact Role: You will directly shape how we identify, score, and reach healthcare professionals — the core business of our domain.
• Small team, direct impact: You will work directly with Product and Engineering leads — no layers between you and the people making decisions.
• No Bureaucracy: Fast decisions, no legacy processes, focus on results.

We are looking for a Data / Backend Engineer to architect and scale the core data infrastructure behind our healthcare marketing platform. In this role, you will design high-throughput data systems that process millions of behavioral events, power real-time attribution and user scoring, and enable precise targeting of healthcare professionals across 20+ channels.

You will work at the intersection of data engineering, backend systems, and marketing infrastructure, building scalable pipelines, tracking systems, and APIs that support analytics, segmentation, and campaign activation. The role also involves experimenting with AI-powered automation and agent-based workflows to improve internal operations and product capabilities.

This is a high-ownership position where you will shape architecture decisions, build critical platform components from the ground up, and help evolve our data platform as the company scales.

Responsibilities

- Architect and own data-heavy backend systems powering real-time attribution, user modeling, and scoring

- Build and evolve client-side tracking pixels (like FB pixel / Amplitude snippet / Heap autocapture) from scratch

- Set up and manage scalable ETL workflows: cleaning, merging, enriching, splitting, transforming across millions of behavioral events
Lead the build of CDP / CDXP-style data layers to support segmentation, scoring, and activation across channels

- Connect and compose systems using modern low-code / no-code tools (n8n) to accelerate ops

- Implement and maintain high-availability APIs for analytics, scoring, and campaign delivery

- Drive experimentation around AI-powered agents and automation tools that can boost internal workflows

Requirements

- System Design & Data Architecture:
Designs scalable, event-driven data platforms with strong decoupling, fault tolerance, and horizontal scalability. Builds real-time and batch pipelines using lakehouse architectures and streaming systems (Kafka / PubSub).

- Distributed Data Processing (Spark / BigQuery / Iceberg):
Expert in large-scale data processing, query optimization, and cost-efficient analytics. Deep understanding of Spark execution, partitioning, and modern table formats (Iceberg / Delta).

- Cloud & Infrastructure (GCP / Kubernetes):
Builds resilient cloud-native data platforms on GCP and Kubernetes using IaC, autoscaling, and secure access (IAM, Workload Identity).

- Python Engineering:
Develops high-performance Python services for data and ML workloads with focus on concurrency, clean architecture, and production-grade quality.

- Databases & Performance (PostgreSQL / OLTP):
Optimizes high-throughput OLTP systems through indexing, partitioning, and query analysis (EXPLAIN ANALYZE, MVCC).

- Reliability & Observability (SRE):
Implements resilient data systems with idempotency, retries, observability, SLOs, and incident management.

- AI / LLM Integration:
Integrates LLMs into production pipelines with structured outputs, caching, batching, prompt versioning, and evaluation.

- Workflow Orchestration (Airflow / Dagster):
Designs scalable DAG-based workflows with dependency management, retries, and reproducible backfills.

- CI/CD & DevOps for Data:
Implements safe deployments for data systems including schema migrations, canary releases, and data contracts.

- Ownership & Engineering Maturity:
Owns end-to-end production systems and architecture decisions while balancing delivery speed, quality, and technical debt.

Nice-to-have: 

- Experience in MarTech / AdTech platforms (e.g., DSPs, attribution systems, DMP/CDP tools)

- Deep knowledge of data matching/fingerprinting techniques (identity graphs, IP + UA resolution, hashed PII workflows)

- Strong prompt engineering skills — not just ChatGPT 101, but chaining, system prompting, tooling integration

What We Offer
- Fully remote with flexible hours (aligned with EU timezones for syncs).
- Influence on quality strategy across the entire engineering organization.
- A cross-team role with visibility into every part of the product.
- AI-first tooling.
- Claude Code licenses and cutting-edge AI development workflows. 
- A team with no bureaucracy, decisions are made fast.

Who Are We?

Welltech is a global wellness technology company with Ukrainian roots. Our mission is to build and scale wellness apps globally through state-of-the-art, tech-driven performance marketing.

We are one of the most established players in the wellness app space, and we are accelerating. Over 25.5 million people across the world use our apps — Muscle Booster, Yoga-Go, and WalkFit — to build healthier habits, move more, and feel better every day. Every subscription represents a real person making a real change in their life, and we take that seriously.

With 500+ people across hubs in Cyprus, Ukraine, Poland, Spain, and the UK, we combine the scale of a market leader and the drive of a team that's just getting started.

What We're Looking For

We are seeking a talented and motivated Senior Security Engineer (x/f/m) to join our small but dedicated Security Team. In this role, you will play a crucial part in strengthening our overall security posture, collaborate across teams and domains, and own security initiatives company-wide.

Responsibilities:

• Own and drive execution of multiple key security initiatives, ensuring they are well-integrated, documented, and effectively support Welltech’s security goals.
• Collaborate with leadership to shape the team’s roadmap, providing your expertise.
• Mentor junior team members in the Security team to help them grow in their role.
• Collaborate with engineering, IT, and product teams to embed security best practices throughout the development lifecycle and operational processes.
• Champion continuous improvement in Security Engineering by regularly reviewing processes, implementing automation, and driving standardization to enhance team efficiency and organizational impact
• Lead PCI-DSS Compliance initiative with relevant stakeholders
• Design, implement, and maintain security controls and measures across Welltech’s systems, networks, and cloud environments.
• Contribute to threat modeling, risk assessments, and incident response, supporting a proactive and resilient security posture.
• Develop and refine internal security policies, standards, and tools to support company-wide security goals.
• Support and lead security awareness efforts, helping to foster a strong security culture throughout the organization.

Continuously evaluate emerging threats, technologies, and practices, driving improvements to Welltech’s overall security maturity.

Requirements:

• 5+ years of hands-on security engineering experience with proven expertise in implementing and managing security solutions
• Solid understanding of security principles, vulnerabilities, and common attack techniques.
• Proficiency with Python (especially writing Lambda functions).
• Experience with Kubernetes in production environments.
• Familiarity with CI/CD tooling and secure deployment practices.
• Very good knowledge of cloud platforms - AWS or Google Cloud.
• Big plus: Solid Experience with PCI.

• Nice to have: Experience with application security, DLP platforms, and observability.

   

  Soft Skills:

• Excellent written and verbal communication skills.
• A collaborative, proactive mindset and passion for continuous improvement.
• Ability to clearly communicate complex security concepts to technical and non-technical stakeholders.
• Strong organizational skills to effectively prioritize and manage multiple concurrent tasks and meet deadlines.

DELIFOOD is a technology company developing digital services and tools for the food delivery and restaurant industry.

We’re looking for a Product Designer who will work part-time and help us create clean, functional, and user-friendly interfaces for our web and mobile applications.

Responsibilities

• Design web and mobile user interfaces (React Web / React Native Mobile);
• Create and refine wireframes, user flows, and high-fidelity mockups;
• Design responsive layouts for different screen sizes and breakpoints;
• Prepare layouts and assets for developers;
• Ensure consistency and usability across platforms;
• Participate in discussions with product and engineering teams.
   

Requirements

• 5+ years of experience in UI/UX or Product Design;
• Strong portfolio with examples of web and mobile UI;
• Proficiency in Figma (components, auto-layout, prototyping);
• Experience designing responsive web interfaces;
• Understanding of platform guidelines (iOS / Android basics);
• Ability to translate product requirements into clear user flows and interfaces;
• Experience preparing assets for development (design tokens, styles, exports);
• English — Upper Intermediate or higher.
   

Nice to have

• Experience with design systems and UI kits;
• Basic understanding of UX research and user testing;

Ability to create simple animations or interactions (Figma, Lottie).
 

Join our dynamic international digital marketing team where innovation and results converge. We are looking for a seasoned Account Manager to lead our clients’ SEO strategies and drive outstanding results in website rankings, traffic, and engagement.

Key Responsibilities:

• Develop and execute effective digital marketing strategies to improve website rankings, organic traffic, and user engagement.
• Respond to client requests and lead the team in their execution.
• Collaborate with cross-functional teams including content creators, web developers, ad managers and designers to implement best practices.
• Perform detailed keyword research to identify valuable target keywords and optimize content accordingly.
• Create and manage content optimization plans that align with SEO goals and business objectives.
• Conduct thorough website audits to identify technical and content-related SEO opportunities and issues.
• Stay up-to-date with industry trends and search engine algorithms to ensure digital marketing strategies remain effective and compliant.
• Monitor and analyze website performance using SEO tools and Google Analytics to provide regular performance reports to clients.
• Communicate with clients to understand their goals, provide strategic recommendations, and address any concerns.
• Provide guidance on website structure, internal linking, and other technical aspects to improve crawlability and indexing.

Qualifications:

• Proven experience as a Marketing Account Manager in an agency setting (more than 2 years).
• Excellent command of the English language with exceptional written and verbal communication skills.
• Problem-solving attitude with a continuous learning mindset to adapt to evolving client challenges and digital marketing trends.
• Client-centric approach with the ability to manage multiple client accounts simultaneously.
• In-depth knowledge of SEO techniques, keyword research, and content optimization.
• Proficiency in using SEO tools such as SEMrush, Moz, Ahrefs, Google Analytics, and Google Search Console.
• Strong understanding of content management systems (CMS) and experience in content optimization.
• Detail-oriented with the ability to analyze data, draw insights, and make data-driven decisions.
• Strong organizational skills and the ability to meet deadlines in a fast-paced environment.
• Preference will be given to candidates based in Canada or those able to work Canadian business hours.

Job Type: Full-time, Permanent

We're looking for a specialist to help with simple marketing and website-related tasks.

Most tasks are straightforward and involve updating content, sending emails, and working with ready-made templates.

What You'll Do

• Create and publish landing pages in HubSpot using provided content and existing templates.
• Upload and schedule marketing emails in HubSpot based on instructions from the marketing team.
• Upload contact lists to HubSpot and Salesforce.
• Upload and update website content in WordPress and Elementor.
• Review pages, emails, and website content before publishing to ensure everything is accurate and follows the provided guidelines.

Requirements

• Attention to detail.
• Any experience with website updates or email marketing.
• Experience with WordPress, Elementor, HubSpot, or similar tools.
• English level B1 or higher.

Requirements:

• Strong practical background in accounting + solid IFRS knowledge;
• 2+ years in international companies or cross-border (foreign jurisdiction) environments;
• Good understanding of tax systems, compliance, and reporting;
• Deep knowledge of Ukrainian Accounting Standards (UAS) and Tax Code of Ukraine;
• Experience improving accounting workflows, shortening closing cycles, and driving automation;
• Experience building management reporting from scratch or improving existing systems;
• Confident Excel / Google Sheets user;
• English at least B1 (written + spoken).

Nice to have:

• Exposure to EU / US / LATAM tax systems (VAT, Sales Tax, Income Tax);

• Experience handling and validating primary documents for non-resident entities.

   

Responsibilities:

• Organize and maintain financial data across multiple jurisdictions;
• Run payroll calculations and processing;
• Prepare and submit USC and PIT reporting;
• Ensure accuracy of accounting entries and financial records;
• Support external accountants and tax reporting processes;
• Participate in annual audits and prepare required audit documentation;
• Assist in monthly, quarterly, and annual financial reporting.

We are looking for a Technical Team Lead (ATE) to lead the development of automated test systems and drive the technical strategy of product testing in a manufacturing environment.

This role combines deep technical expertise with leadership responsibility. You will define the architecture of test solutions, make key engineering decisions, and grow a team of engineers. Your scope will cover the full testing lifecycle — from design analysis to manufacturing support and process optimization.

The ideal candidate has hands-on experience with ATE in production, understands DFT principles, and can build scalable and efficient test solutions.
 

Responsibilities:

1. Technical Strategy & Architecture

• Define test strategy (ICT / FCT / EOL) and ATE architecture
• Establish approaches for test coverage, fault isolation, and DFT
• Define engineering standards and best practices

2. Leadership & Team

• Lead and develop a team of test engineers
• Provide mentoring, design reviews, and technical guidance
• Make engineering decisions and trade-offs

3. Test Development

• Oversee development of test systems (fixtures, software, data infrastructure)
• Conduct DFT reviews with hardware teams
• Ensure production readiness of test solutions

4. Manufacturing & Optimization

• Support NPI → mass production transition
• Collaborate with manufacturing and contract manufacturers
• Optimize test time, yield, and line efficiency
• Lead root cause analysis

5. Data & Performance

• Analyze test data (yield, failure trends)
• Define KPIs and drive continuous improvement

Requirements:

1. Experience

• 5+ years in test engineering (PCBA / manufacturing / product)
• 2+ years of technical leadership experience
• Hands-on experience with ATE in production

2. ATE & Test Systems

• ICT / FCT / EOL testing
• Test fixtures and test infrastructure
• Test coverage, fault isolation, DFT

3. Manufacturing

• NPI → mass production
• Yield management, test optimization, line balancing
• Experience working with contract manufacturers

4. Embedded Systems

• Interfaces: UART, SPI, I2C, CAN, Ethernet
• Firmware flashing (secure flashing is a plus)
• Understanding of bootloaders and production firmware flows

5. Data & Metrics

• Yield analysis, failure Pareto
• KPI definition, SPC, GR&R

We offer:

• Competitive compensation and transparent conditions
• Military reservation (booking)
• Paid vacation and sick leave
• Health insurance
• Opportunity to influence technical decisions and product architecture
• Work with modern manufacturing environments and test systems
• Professional growth and development support
• Open culture and a strong engineering team

If you have relevant experience and are excited to contribute to a meaningful and impactful domain, we’d love to hear from you.

Send us your CV — we’ll be happy to review your application!

Requirements:

• Strong production experience with Vue.js
• Solid Python experience for backend development
• Proficiency with JavaScript / TypeScript for frontend development
• Hands-on experience with Three.js and Canvas-based rendering
• Demonstrable frontend performance optimization experience (page load time, rendering efficiency, working with large or real-time data sets)
• Ability to work highly autonomously, proactively clarify requirements and drive work forward with minimal supervision
• Strong communication skills and experience working in distributed teams (Europe/Ukraine time zone; ~1–2 hours of daily overlap with a US-based team)
• Hands-on experience with AI-assisted development tools — e.g. Claude Code and Codex — including AI skills, plugins, and MCP (Model Context Protocol), with a clear understanding of how to boost personal productivity and code quality using AI tooling.

Nice-to-Have:

• React experience — a planned Vue → React migration is in scope for the team, so familiarity with both frameworks is a strong plus
• Hands-on experience migrating a frontend from Vue to React
• Experience rendering large, real-time data streams in the browser
• Familiarity with deck.gl and Leaflet
• WebGL experience beyond Three.js abstractions
• Familiarity with C++ or general backend development.

Key Responsibilities:

• Build and maintain features across a portfolio of Vue-based projects
• Develop and support Python backend services
• Optimize frontend performance — faster page loads and more efficient rendering of heavy real-time 3D scenes and data
• Build and maintain visualization UI components that render synchronized 3D, lidar, and media data
• Contribute to the planned Vue → React migration as it ramps up
• Take ownership of features end-to-end, proactively clarifying requirements and assumptions
• Collaborate with a primarily US-based team with ~1–2 hours of daily overlap, while working largely independently
• Participate in code reviews and design discussions.

About the Project:

You'll join the engineering team of a leading technology company building autonomous mobility and robotics systems. The team develops an internal data visualization platform — essentially a "video and data player" that renders a 3D scene, a lidar feed, and an audio feed in sync, used to inspect and debug the data recorded by autonomous vehicles.

The work centers on a set of Vue-based projects, including the platform itself and supporting Python backend services, with a Vue → React migration on the roadmap as the broader engineering organization standardizes on React. This is a long-term engagement for an engineer who is comfortable across the stack, cares about clean and performant code, and can drive features from design to production with high ownership and minimal supervision.

Requirements:

• Strong backend development experience with C++ (the bulk of the backend is built on a custom in-house framework)
• Hands-on experience with AWS, particularly S3
• Proficiency with Protobuf
• Experience deploying and operating services on Kubernetes, including performance-driven traffic routing to pods
• Performance engineering skills — hash-based routing, SSD-based caching, and memory-mapped files
• Solid systems / low-level fundamentals (there is no off-the-shelf framework to rely on — much of the stack is custom)
• Ability to work highly autonomously and drive work forward with minimal supervision
• Strong communication skills and experience working in distributed teams (Europe/Ukraine time zone; ~1–2 hours of daily overlap with a US-based team)
• Hands-on experience with AI-assisted development tools — e.g. Claude Code and Codex — including AI skills, plugins, and MCP (Model Context Protocol), with a clear understanding of how to boost personal productivity and code quality using AI tooling.

Nice-to-Have:

• Familiarity with OpenTelemetry / observability tooling
• Understanding of LevelDB SSTable concepts and sorted, time-keyed data structures
• Familiarity with Python (used only for a small metadata/auth service)
• Basic DevOps skills.

Key Responsibilities:

• Optimize the performance of the C++ data-streaming backend — efficient delivery of large recorded datasets to the browser
• Work on infrastructure-level optimizations: traffic routing to Kubernetes pods, hash-based routing, SSD-based caching, and memory-mapped files
• Operate within a custom data-handling stack — a C++ framework, a custom HTTP server, and a proprietary data format built on top of LevelDB SSTables and Protobuf
• Take ownership of performance work end-to-end, proactively identifying bottlenecks and driving solutions independently
• Collaborate with a primarily US-based team with ~1–2 hours of daily overlap, while working largely independently
• Participate in code reviews and design discussions.

About the Project:

You'll join the engineering team of a leading technology company building autonomous mobility and robotics systems. The team develops an internal data visualization platform — a "video and data player" that renders 3D scenes, lidar, and audio recorded by autonomous vehicles. This role sits on the performance work stream: the backend reads on-vehicle data stored in S3, deserializes it from a custom, time-keyed format, and streams it to the browser. The data-transfer service is implemented in C++, and most of the platform's performance gains are expected to come from the backend.

This is a long-term engagement for a strong systems engineer who enjoys low-level performance work and is comfortable ramping on a heavily custom stack with high ownership and minimal supervision.

Experienced Microsoft.NET developer in building backend systems in Microsoft Azure. You will design and build services in a service oriented architecture.

Requirements:
 

• At least 3 years of experience designing and building APIs in ASP.NET (version 8.0 or higher)
• At least 3 years with Entity Framework Core (version 8.0 or higher)
• At least 3 years with Microsoft Azure
• At least 4 years with C#
• At least 4 years building unit and integration tests
• Knowledge of service oriented architecture principles
• Knowledge of integration patterns and principles
• Knowledge of OAuth / OpenID Connect security protocols
• Works according to SOLID principles
• At least 3 years with Azure DevOps and Git
• Understanding of UML activity diagrams and sequence diagrams

Nice to have:

• Azure Platform Services (App Service, Service Bus, Key Vault, Storage, SQL Database, AI Search)
• Azure DevOps YAML pipelines with PowerShell and Azure deployment services
• T-SQL (SQL Server)
• The IDesign Method

What We Offer:

• Transparent bonus payment system
• Competitive salary with regular compensation reviews
• Opportunity to bring your ideas to life and lead the entire process
• 40-hour workweek with flexible scheduling
• Paid vacation and sick leave benefits

Experienced Microsoft.NET developer in building backend systems in Microsoft Azure. You will design and build services in a service oriented architecture.

What We Seek:

• Proven experience in designing and building APIs in ASP.NET (version 8.0 or higher)
• Proven experience with Entity Framework Core (version 8.0 or higher)
• Proven experience with Microsoft Azure
• At least 8 years of professional experience with C#
• At least 8 years of experience in building unit and integration tests
• Knowledge of service-oriented architecture (SOA) principles
• Knowledge of integration patterns and principles
• Knowledge of OAuth and OpenID Connect security protocols
• Adheres to SOLID principles
• At least 7 years of experience with Azure DevOps and Git

• Understanding of UML activity diagrams and sequence diagram.

   

A plus when has:

• Proven knowledge of the following Azure Platform Services; App Service, Service Bus, Key Vault, Storage (blob- and table storage), SQL Database, AI Search
• Proven knowledge of Azure DevOps yaml pipelines in combination with powershell and Azure deployment services
• Proven knowledge of T-SQL (SQL Server)
• Proven knowledge of the IDesign Method

What We Offer:

• Transparent bonus payment system
• Competitive salary with regular compensation reviews
• Opportunity to bring your ideas to life and lead the entire process
• 40-hour workweek with flexible scheduling

• Paid vacation and sick leave benefits

   

We are looking for a CRM / Retention Analyst to support our CRM and Retention teams with data-driven insights and identify growth opportunities for LTV and player retention through behavioral and communication performance analysis.

HOW YOU WILL MAKE AN IMPACT:

• Analyze key retention metrics: FTD → repeat deposits, churn rate, retention cohorts, LTV, ARPU/ARPPU, deposit frequency.
• Build and maintain analytical reports and dashboards for CRM campaigns, player segments, and promotions.
• Evaluate the effectiveness of CRM communications (Email, SMS, Push, In-App, Onsite) including open rate, CTR, and deposit conversion.
• Conduct cohort and behavioral analysis by GEO, acquisition source, player type, and deposit patterns.
• Support player segmentation (RFM, deposit segments, churn segments, VIP logic).
• Design and analyze A/B tests for CRM campaigns.
• Identify insights and opportunities to improve retention, player lifecycle, and revenue.
• Analyze player activity, sessions, games, and content performance to understand impact on retention.
• Provide data-driven insights and recommendations to CRM, Product, and VIP teams.

WHAT WILL HELP YOU SUCCEED IN THE ROLE:

• 2+ years of experience as a Data / Product / Business Analyst
• Strong SQL skills
• Experience with BI tools (Power BI, Tableau, Looker, Metabase, or similar)
• Understanding of key product analytics metrics (LTV, ARPU, ARPPU, churn, cohorts)
• Experience with retention and cohort analysis
• Ability to work with large datasets
• Ability to translate data into clear business insights
• Experience with A/B testing or CRM analytics is a plus
• Experience in iGaming / betting / gaming / fintech / subscription products is a plus

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 :)