Jobs at Djinni

As a member of Computer Vision Team, you will contribute to data preparation, research, prototyping, and the deployment of machine learning models and computer vision algorithms in edge and cloud environments. Your responsibilities will also include monitoring and evaluating solution performance in production and adapting the system to rapidly changing operational conditions.
Required Qualifications:

• 3+ years of experience in computer vision
• High proficiency in Python
• Strong experience with deep learning and the PyTorch framework for computer vision tasks
• Research experience in computer vision with a focus on delivering results
• Ability to work independently or within a small team, with a strong sense of ownership over results

Nice to Have:

• Experience with deep learning solutions for detection, tracking, image retrieval, and segmentation tasks
• Understanding of geometric computer vision principles
• Model optimization: quantization, pruning, neural network compilers
• Hands-on experience implementing low-level CV algorithms
• Knowledge of C++

We are looking for an Embedded Linux Engineer to design, develop, and maintain customized Embedded Linux distributions using the Yocto Project. You will work closely with hardware, firmware, and application teams to deliver stable, secure, and production-ready Linux images for embedded devices.
 

Responsibilities

• Design, build, and maintain Yocto-based Linux distributions
• Create and maintain BSP layers, recipes, and image configurations
• Integrate and customize bootloaders and Linux kernel
• Optimize build times, image size, and system performance
• Debug build and runtime issues (BitBake, kernel, userspace)
• Integrate device drivers, middleware, and third-party packages
• Ensure compliance with licensing (GPL, LGPL, OSS)
• Support CI/CD pipelines for automated builds
• Collaborate with hardware, QA, and software teams
• Maintain technical documentation
   

Requirements

• Solid knowledge of Embedded Linux architecture
• Proficiency in build automation tools: Autotools, Make, CMake, Ninja, Meson
• Proficiency in scripting: Bash, Python
• Advanced knowledge of C & C++
• Hands-on experience with Linux kernel configuration and debugging
• Familiarity with cross-compilation toolchains
• Experience working with ARM-based platforms
• Knowledge of Git and collaborative development workflows
• Ability to debug low-level system issues
• Willingness to learn and work with the Yocto Project / OpenEmbedded
   

Nice to Have

• Strong experience with Yocto Project / OpenEmbedded
• Experience with BSP bring-up on new hardware
• Experience with Buildroot or other embedded build systems
• Familiarity with secure boot, OTA updates, or SWUpdate / RAUC / Mender
• Understanding of real-time Linux (PREEMPT_RT)
• Experience with CI systems (Jenkins, GitLab CI, etc.)
   

Will be a Plus

• Open-source contribution
• Kernel drivers development
• System and kernel profiling
   

Education

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electronics, or a related field
• Or equivalent practical experience
   

What We Offer

• Opportunity to work on cutting-edge embedded products
• Competitive salary and benefits
• Flexible working model (remote / hybrid / onsite)
• Professional growth and learning opportunities
• Collaborative and engineering-focused culture

Project Description:

Join our Development Center in Bucharest, and become a member of our open-minded, progressive and professional team. In this role you will be working on projects for one our world famous clients.
You will have a chance to grow your technical and soft skills, and build a thorough expertise of the industry of our client.
On top of attractive salary and benefits package, Luxoft will invest into your professional training, and allow you to grow your professional career.

Responsibilities:

We are looking for a Senior Data Engineer to design and deliver scalable data pipelines and high performance analytical solutions using SQL/BigQuery, Spark/PySpark, and Python on Google Cloud. This role focuses on building reliable, cloud native data products that enable advanced reporting, analytics, and decision making across the organization.

Key Responsabilities:

• Build scalable data pipelines: Design and deliver batch and real-time ETL/ELT pipelines across cloud environments to support analytics and reporting.
• Develop SQL and BigQuery solutions: Write and optimize advanced SQL transformations and build performant, cost‑efficient BigQuery data models.
• Develop Python workflows: Implement scalable data processing solutions using Python and PySpark, ensuring maintainable and high‑quality code.
• Design data models and ensure quality: Build robust data models and apply validation practices to maintain accuracy and reliability.
• Build cloud‑native data solutions: Use GCP services such as BigQuery, Dataflow, Cloud Composer, Pub/Sub, and GCS to build and operate modern data platforms.
• Optimize performance and reliability: Troubleshoot complex pipeline issues and continuously improve compute, storage, and processing performance.
• Collaborate using strong engineering practices: Work with engineering, analytics, and business teams while contributing to CI/CD, code reviews, and testing standards.

Mandatory Skills Description:

• 5+ years of experience as a Data Engineer, building scalable data pipelines and working with cloud-based data ecosystems.
• Strong expertise in SQL and hands‑on experience building performant datasets in BigQuery (or similar cloud data warehouses).
• Proven experience with Python and PySpark for scalable data processing in distributed environments.
• Solid understanding of data modeling, ELT/ETL patterns, and data quality best practices.
• Experience with Google Cloud Platform, particularly BigQuery, Dataflow, Cloud Composer, GCS, or equivalent cloud data services.
• Hands‑on experience building scalable data pipelines (batch and near real‑time) in a cloud‑native environment.
• Proficiency with version control, CI/CD pipelines, and automated testing frameworks.
• Ability to troubleshoot and optimize performance across compute, storage, and processing layers.

Nice-to-Have Skills Description:

• Experience with Infrastructure as Code (Terraform, Ansible, Chef).
• Knowledge of shell scripting.
• Experience in financial services or regulated environments

Languages:

English: B2 Upper Intermediate

Mint Group is a business & technology services company building and operating the infrastructure behind digital businesses. We are currently seeking enthusiastic and motivated individuals to join our team as Affiliate Marketing Team Lead. In this role, you will play a crucial part in expanding our brand exposure and establishing long-lasting relationships with our affiliate partners.
 

Requirements:

• Minimum 4-5 years of experience as an Affiliate Manager.
• Minimum 2 year of experience as Team Lead.
• Deep understanding of affiliate marketing principles, strategies, and best practices, particularly in the IGaming sector.
• Strong analytical skills and proficiency in data-driven decision-making, with experience using affiliate tracking and reporting tools.
• Excellent communication, negotiation, and relationship-building skills.
• Results-oriented mindset with a focus on driving measurable outcomes and achieving business goals.
• Ability to thrive in a fast-paced, dynamic environment and adapt quickly to changing priorities and requirements.
• Strong leadership qualities, including the ability to inspire, motivate, and empower team members to achieve their full potential.
• Fluent in written and spoken English.

Responsibilities:

• Develop and execute comprehensive affiliate marketing strategies to drive customer acquisition, revenue growth, and brand awareness.
• Lead, mentor, and manage a team of affiliate marketing professionals, providing guidance, support, and performance feedback.
• Identify and cultivate relationships with key affiliate partners, negotiating and optimizing agreements to maximize mutual benefits.
• Analyze affiliate performance metrics and KPIs to assess effectiveness and identify opportunities for optimization.
• Collaborate cross-functionally with marketing, sales, product, and finance teams to align affiliate initiatives with overall business objectives.
• Stay abreast of industry trends, competitor activities, and regulatory changes to inform strategy and maintain a competitive edge.
• Continuously evaluate and improve affiliate program processes, tools, and resources to enhance efficiency and scalability.
• Monitor and ensure compliance with affiliate marketing guidelines, regulations, and best practices.
• Participate in conferences and industry events to build a partner network.
   

Benefits:

• Freedom to choose where to work: work from anywhere in the world with the freedom of remote options.
• Flexibility: enjoy flexible working hours that let you balance your personal and professional life while staying focused on delivering great results.
• Corporate English speaking club: improve your English proficiency with regular practice and expert guidance.
• A Culture That Cares: thrive in a friendly environment where a strong corporate culture builds connections, drives innovation, and makes you feel truly valued.
• Accelerate Your Growth: seize career advancement opportunities in a rapidly expanding marketing company. As the company scales, so will your professional journey.

Project Description:

Join our Development Center in Bucharest, and become a member of our open-minded, progressive and professional team. In this role you will be working on projects for one our world famous clients.
You will have a chance to grow your technical and soft skills, and build a thorough expertise of the industry of our client.
On top of attractive salary and benefits package, Luxoft will invest into your professional training, and allow you to grow your professional career.

Responsibilities:

The Requirements Engineer will be the bridge between business needs and technical solutions by analysing the business requirements and processes, identifying opportunities for improvement, and helping implement solutions that drive operational efficiency and business growth.

Key Responsibilities:

• Requirements Gathering and Analysis: Collaborate with stakeholders and IT teams to gather, document, and analyse detailed requirements for software solutions.
• Technical Documentation: Create clear and detailed documentation, including business requirements, user stories, and system specifications.
• Solution Design and Validation: Work closely with developers to design software solutions that meet business needs and validate those solutions through testing and user feedback.
• Stakeholder Communication: Act as a bridge between users and technical teams, facilitating effective communication and ensuring all parties are aligned.
• Process Improvement: Continuously assess and optimize software development processes, incorporating feedback and adjusting to changing market conditions or user needs.
• Production Support: Assess production incidents, investigate causes, and provide solutions whenever possible, as well as analysing errors and identifying solutions to fix them.

Mandatory Skills Description:

• Capital Markets Knowledge: knowledge of capital markets, trading platforms, and financial products (e.g., equities, derivatives) with extensive experience working in capital markets, either directly or as part of an IT team supporting financial services.
• Technical Expertise: Strong understanding of software development life cycle (SDLC), system integration, APIs and data architecture with hands-on experience and familiarity with trading systems or financial software.
• Communication and Collaboration: Excellent communication skills to translate business needs into technical requirements and collaborate with cross-functional teams. Experience working closely with traders, developers, and stakeholders in a fast-paced environment would be a plus.
• Analytical and Problem-Solving Skills: Strong analytical and problem-solving abilities, particularly in troubleshooting complex system issues to identify and resolve challenges in software development and deployment, ensuring smooth operation for end-users.
• Agile Methodology: Proficient in Agile practices, including writing user stories, participating in sprints, and adapting to changing requirements. Experience of 2-3 years working in Agile teams, preferably in the financial services sector, with a focus on delivering iterative software solutions, ensuring it adapts quickly to changing requirements.
• Fluent in English: Mandatory to be fluent in English to effectively communicate complex ideas and technical details both verbally and in writing.
• Autonomous: Self-motivated and flexibility to work autonomously and drive projects forward without requiring constant supervision, coupled with ability to work in virtual teams and matrix/global organizations including appreciation of different cultures during collaborating and sharing

Nice-to-Have Skills Description:

• Knowledge of/experience with GCP

Languages:

• English: B2 Upper Intermediate

About the Company

We are an innovative deep-tech product company transforming digital commerce through patented AI-driven media optimization. 

We are seeking an Engineer with hands-on technical fluency across major e-commerce platforms and CMS ecosystems (Shopify, Magento, SFCC, etc.). In this role, you will bridge the gap between our core technology and our clients' varied online stores, spearheading implementations, custom scripting, and technical onboarding.

What You’ll Do

• Platform Integration Lead: Guide brands on integrating our AI media delivery solutions into their existing storefronts and platform architectures (headless, monolithic, or hybrid).
• Client Onboarding & Solutions Architecture: Translate merchant objectives into clear technical deployment plans, audit storefront codebases, and set up optimal integration hooks.
• Troubleshooting & Technical Support: Diagnose integration issues, theme/plugin conflicts, and asset delivery bottlenecks across diverse frontend setups.
• Hands-on Implementation: Assist clients with frontend snippets, custom scripts, APIs, webhooks, and theme adaptations to ensure flawless rendering and peak Core Web Vitals.
• Client Advocacy: Work hand-in-hand with R&D, Customer Success, and Sales to continuously improve platform connectors, integration documentation, and client self-serve toolkits.

Requirements

• 5+ years of experience in an e-commerce engineering or Technical Consultant role within the digital commerce ecosystem.
• E-Commerce Platform Expertise: Strong practical experience working with at least one or more of the following platforms:
  • Shopify / Shopify Plus
  • Magento (Adobe Commerce)
  • Salesforce Commerce Cloud (SFCC)
  • WooCommerce / WordPress
  • BigCommerce (or custom/headless commerce architectures).
• Web & Frontend Fundamentals: Solid grasp of frontend technologies (HTML, CSS, JavaScript) and understanding of DOM rendering, network waterfalls, and web performance optimization.
• Debugging Skills: Practical experience inspecting live storefronts using browser developer tools and handling API/webhook integrations.
• Language Proficiency: Strictly C1–C2 English level with excellent verbal articulation and technical writing skills.
• Time Zone: High flexibility and ability to operate within US business hours.
• Soft Skills: High ownership, customer-centric mindset, and the ability to explain complex technical concepts simply to both engineers and merchant business teams.

Nice to Have

• Experience with headless commerce setups, Jamstack, or modern frontend frameworks (React, Next.js, Vue).
• Understanding of CDN routing, caching strategies, and media delivery workflows.

We OFFER:

• ​A fast-paced, highly professional, international team environment with a flat structure and rapid decision-making.
• ​Competitive compensation packages commensurate with your background and product portfolio.
• ​Flexible, remote-first workflow optimized for seamless global alignment.
• Medical Insurance in Ukraine and a Multisport program in Poland.
• Offices in Ukraine (Kyiv, Kharkiv) and Poland (Wroclaw) or Remote.
• Paid vacation, sick leave, and official holidays.
• Legal & Accounting services.
• The company provides all necessary equipment.
• English classes and Education reimbursement.

Toronto time zone. Project duration - 3 months.

We're looking for a mature, Senior/Lead PHP Engineer with deep Laravel expertise and hands-on experience building or integrating agentic AI systems. You'll take ownership of complex backend features end-to-end, mentor other engineers, and help shape how AI-driven automation and agents fit into our product and internal workflows.

About the client:

Our client is a leading online car marketplace group operating across Europe and North America, bringing together market-leading brands to shape the future of our industry by combining the best of both regions.
 

What You'll Do:

• Design, build, and maintain robust backend services and APIs using PHP and Laravel
• Own features from technical design through deployment and monitoring
• Integrate and orchestrate agentic AI workflows (e.g., LLM-based agents, tool-calling pipelines, autonomous task runners) into existing products or internal tooling
• Improve system performance, reliability, and security across the stack
• Stay current with the PHP/Laravel ecosystem and emerging agentic AI tools and patterns

What You Need to Succeed:

• 6+ years of professional PHP development experience
• 4+ years building applications with Laravel (or comparable modern PHP framework experience with strong Laravel proficiency)
• Solid database skills (MySQL/PostgreSQL), including query optimization and schema design
• Familiarity with containerization (Docker) and cloud deployment (AWS, GCP, or similar)
• Strong communication skills and the judgment to work independently on ambiguous problems
• Hands-on GenAI experience — you've built with LLM APIs, tool/function calling, retrieval, agents, or agent frameworks and put them into real workflows.
• Modern AI coding tools (e.g., Claude Code, Codex) are part of how you work day to day.
• Strong communication and collaboration skills — you work well in a team, share your opinions clearly, and can move a topic forward with people across functions.
• Solid engineering fundamentals: testing, debugging, code quality, and getting things production-ready.
• English - at least Upper Intermediate+
• Work in EDT (Toronto) time zone

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

Project Description:

Join our Development Center in Bucharest, and become a member of our open-minded, progressive and professional team. In this role you will be working on projects for one our world famous clients.
You will have a chance to grow your technical and soft skills, and build a thorough expertise of the industry of our client.
On top of attractive salary and benefits package, Luxoft will invest into your professional training, and allow you to grow your professional career.

Responsibilities:

• Shaping the horizon: It’s in your hands to decide what can make everyone happy - new or better tools/automation, new platform components. Doing all this as optimally as possible. 
• Developer Experience: Lead the adoption of best practices for CI/CD and monitoring parts. 
• Cloud Migration: Curate the implementation of hybrid-cloud setup for our Client's data platform 
• Collaboration: Provide your expert’s advice on infrastructural services and cloud stack for operation support engineers (SL2) during incident investigation and mitigation. Work closely with software engineers on implementing new platform offerings

Mandatory Skills Description:

• 5+ years of experience as a DevOps Engineer
• Linux expertise: sensible knowledge of Linux internals, expert shell scripting. 
• Programming proficiency: basic proficiency with at least one JVM language (Java, Scala/Kotlin) and Python 
• Automation experience: hands-on experience with CI/CD platforms like classic ones (Teamcity/Jenkins) and modern ones (GitHub Actions is a plus)
• Verifiable experience with containers and orchestration (k8s), related tooling (like Helm or Grafana). 
• Experience with major cloud providers (GCP is a strong plus).
• Experience with Infra as Code tools (like Terraform or Pulumi) is a must. 
• Monitoring & instrumentation: hands-on experience with logging, monitoring & alerting tools (e.g LGTM stack or competitors)

Nice-to-Have Skills Description:

• Distributed systems experience: operational experience with distributed services deployment
• Hands-on experience with Apache Kafka in Kubernetes environments, including deployment and operations using the Strimzi Operator, Kafka cluster setup/configuration, and ongoing infrastructure management (scaling, monitoring, reliability, and maintenance).
• Familiarity with Hadoop stack, Apache Spark, and analytical database system (like Clickhouse/BigQuery/Exadata) 
• Enterprise Cloud tools: experience with OpenShift (plus), hybrid on-prem/cloud setups (like Google Anthos) - strong plus  
• Data pipeline orchestration tools: experience with tools like Apache Airflow is strong plus

Languages:

English: B2 Upper Intermediate

We are looking for a Senior Product Manager (HR Tech focus)!

Requirements:

• Experience managing digital products as a Product Manager;
• Experience developing an established product with extensive functionality, a large user base, and multiple internal stakeholders;
• Ability to manage product strategy, roadmap, backlog, and multiple initiatives simultaneously;
• Experience conducting product discovery, validating hypotheses, and researching user journeys;
• Ability to make decisions based on analytics, user feedback, and business context;
• Understanding of product metrics and ability to define success criteria for initiatives;
• Experience collaborating with Business Analysts, Design, Engineering, and QA;
• Ability to evaluate initiatives based on user and business impact, implementation cost, and complexity;
• Experience with internal products, HR Tech, or Employee Experience products would be an advantage;
• English: Intermediate / Upper-Intermediate (B1+);

Soft Skills:

• Strong ownership and accountability for product outcomes;
• Independence and a proactive approach;
• Strong product and systems thinking;
• Ability to quickly understand a complex product and process large amounts of context;
• Ability to structure ambiguous requests and identify the underlying problem;
• Ability to manage multiple initiatives while maintaining focus on priorities;
• Clear and transparent communication;
• Ability to justify decisions and handle disagreements constructively;
• Ability to say “no” or “not now” when an initiative does not justify the required investment;
• Focus on user and business outcomes rather than feature delivery alone.

Will be a plus:

• Experience with engagement, internal communication, recognition, and reward tools;
• Strong systems thinking with the ability to structure ambiguous requests and make outcome-driven decisions.

Responsibilities:

• Own the development of an HR Tech product within the broader ecosystem strategy;
• Manage the product roadmap, backlog, and priorities;
• Lead initiatives from problem definition and solution discovery through launch and outcome evaluation;
• Develop key Employee Experience areas, including internal communications, engagement, events, recognition, rewards, and other everyday employee journeys;
• Research user needs, analyse feedback, and use the product hands-on;
• Identify opportunities to enhance functionality, improve UX, simplify user journeys, and automate processes;
• Define expected outcomes, success criteria, and product metrics for key initiatives;
• Work with Business Analysts and designers to develop solutions and ensure initiatives are ready for implementation;
• Coordinate delivery across Engineering, QA, Design, Business Analysis, and adjacent product teams;
• Manage stakeholder expectations and communicate decisions, progress, risks, and priority changes transparently;
• Analyse post-launch results and make decisions about the further development of released functionality.

Our benefits to you:

☘️An exciting and challenging job in a fast-growing business group, the opportunity to be part of a multicultural team of top professionals in Development, Architecture, Management, Operations, Marketing, Legal, Finance, and more

🤝🏻Great working atmosphere with passionate experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed

🏢Beautiful offices in Warsaw, Limassol, Yerevan — work remotely or on-site with comfort and enjoy the opportunity to build a network of connections with professionals day by day

🧑🏻‍💻Modern corporate equipment based on macOS or Windows and additional equipment are provided

🏖Paid vacations, sick leave, personal events days, days off

💵Referral program — enjoy cooperation with your colleagues and get the bonus

📚Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences

🎯Rewards program for mentoring and coaching colleagues

✈️In-house Travel Service

🦄Multiple internal activities: online platform for employees with quests, gamification, presents and news, clubs for movie / book / pets lovers, and special holiday office days

🎉Company events and team-building activities

🎳Other benefits could be added based on your location

Our Customer:

Our customer is a technology company developing data-driven solutions for digital advertising and real-time campaign optimization. The team works with large-scale data and Machine Learning to support automated advertising decisions and improve campaign performance.

Your tasks:

• Develop, improve, and operate ML models used in production advertising systems.
• Work on ML problems related to bidding, bid optimization, and real-time advertising decision-making.
• Develop models for CTR/CVR prediction.
• Optimize campaign performance, budget allocation, and pacing.
• Work on ranking and decisioning models for advertising systems.
• Analyze large-scale advertising data and identify opportunities for optimization.
• Translate business and advertising problems into practical Data Science / ML solutions.
• Evaluate model performance and business impact using relevant advertising KPIs.
• Conduct experiments and A/B testing to validate and improve ML solutions.
• Collaborate with engineering and product teams to deploy and continuously improve production models.

Required experience and skills:

• 5+ years of commercial experience in Data Science / Applied Machine Learning.
• Hands-on experience in AdTech / Programmatic Advertising.
• Direct experience with RTB / real-time bidding systems.
• Commercial experience applying ML/Data Science to advertising optimization.
• Hands-on experience with bidding or bid optimization.
• Experience with CTR/CVR prediction, campaign optimization, ranking, pacing, budget allocation, or advertising decisioning.
• Experience developing, improving, or operating ML models in production.
• Strong Python skills.
• Strong SQL skills and experience working with large-scale datasets.
• Experience translating business problems into ML/Data Science solutions.
• Strong analytical and problem-solving skills.
• Strong English communication skills.

Would be a plus:

• Experience with DSP platforms.
• Experience with bidder logic, bidding algorithms, or bid-price optimization.
• Knowledge of OpenRTB and auction dynamics.
• Experience with real-time decisioning or pre-bid optimization/filtering.
• Experience with user acquisition, retargeting, or performance advertising.
• Experience with large-scale real-time ML.
• Experience with online experimentation / A/B testing.
• Experience with contextual bandits, online learning, or reinforcement learning.

Digital Marketing Manager - Praetorix 🚀

We are seeking a Digital Marketing Manager to lead B2B/Enterprise IT marketing and lead generation in the US and European markets. This role requires a business owner’s mindset and focus on scaling the sales pipeline.

Key Responsibilities

• Strategy & Positioning 🧭
Formulate the 12-18 month marketing strategy, define positioning (USP, ICP), and develop Go-To-Market plans for UX/UI & Frontend, End-to-End Development, and AI Solutions.

• Brand & Communications ✨
Develop and maintain the brand story and visual identity across all channels (website, presentations, PR, etc.) to increase recognition among enterprise audiences.

• Lead Generation & Growth 🚀
Build a high-performance inbound + outbound lead generation engine focused on delivering MQL/SQL and managing the full marketing funnel.

• Analytics & KPIs 📊
Own key metrics (CAC, CPL, ROI, pipeline influenced) and manage marketing budgets.

Requirements 📌

• 5+ years of experience in Sales / BizDev / Marketing / Lead Gen ⭐
• Proven expertise in IT B2B (Europe/USA) 🌍
• Ability to build systems and scale processes ⚙️
• English level: Upper-Intermediate (B2) 🇬🇧

Ready to discuss your ideas and drive growth? Let’s talk! 💬

An international consulting and services group operating in the iGaming and Entertainment industry is looking for an experienced Chief Product Officer to lead the growth of its B2C product portfolio.

The company is actively expanding its B2C business, launching new products, and entering new international markets. With a team of over 1,000 professionals and offices in Warsaw, Limassol, and Dubai, it offers the opportunity to make a significant impact on a global scale.

Key Responsibilities

• Define and execute the B2C product strategy.
• Lead the launch of new products and expansion into new international markets (GEOs).
• Own and develop the product portfolio.
• Build, manage, and prioritize the product roadmap.
• Analyze product and business metrics to drive strategic decision-making.
• Build, mentor, and scale high-performing product teams.
• Collaborate closely with Marketing, CRM, BI, Tech, and other key stakeholders to ensure successful product delivery and growth.

Requirements

• Proven experience as a Chief Product Officer, VP of Product, or Head of Product within the B2C iGaming industry.
• Hands-on experience launching new digital products.
• Strong track record of expanding products into new international GEOs.
• Expertise in product strategy development and roadmap management.
• Strong analytical mindset with experience making data-driven product decisions.
• Experience leading and scaling product teams.
• English proficiency at Upper-Intermediate (B2) level or higher.

What the Company Offers

• The opportunity to lead the growth of a large-scale international B2C business.
• Ownership of new product launches and market expansion initiatives.
• Competitive compensation package.
• Flexible working format.

Ready to shape the future of a fast-growing international iGaming business?

Join a team where your vision, leadership, and product expertise will directly influence global growth. If you’re excited about building innovative products, entering new markets, and leading high-performing teams—we’d love to hear from you!

🌊 Data Engineer: Build the Lakehouse Behind Millions of Players

Adaptiq × a major online gaming operator

The challenge:

Our client, a major online gaming operator, is building a next-generation account management platform as a greenfield project. It runs in a highly regulated, high-volume environment where availability, sub-second performance, data integrity, and full auditability are non-negotiable, including during extreme traffic spikes.

Every transaction becomes data, and that data has to be right. How do you ingest it without losing or duplicating a single event? How do you keep it fresh and reconciled with source systems? How do you store years of history so it’s cheap to keep, fast to query, and GDPR-compliant? These are the questions you’ll answer.

Your role:

We’re looking for a hands-on Data Engineer to build scalable, reliable data infrastructure and production-grade pipelines, with a strong focus on data quality, integrity, and performance.

You’ll own the design, implementation, and operation of the data lake and lakehouse architecture, including key technical decisions. You’ll define how data is stored, partitioned, processed, and monitored, work closely with Data Engineering, DevOps, Data Science, and other stakeholders, and help shape the platform’s long-term scalability and the data migration.

What you’ll do:

• Build and maintain a multi-layer lakehouse (bronze / silver / gold) on Iceberg or Delta, including schema evolution
• Design CDC and streaming ingestion with Kafka, Debezium, or similar, handling late and duplicate events
• Optimize data layout in cloud object storage: partitioning, compaction, file sizing, query performance
• Define retention, archival, immutability, and GDPR-style deletion processes
• Ensure data freshness, quality, and consistency; detect drift and reconcile with source systems
• Implement governance: metadata, lineage, access controls, PII protection, encryption, audit trails
• Monitor pipelines and drive resolution of data anomalies

• Collaborate with Analytics, Finance, and Compliance on requirements, migration, and architecture

   

What you bring:

• 5+ years in data engineering with large-scale data lakes or lakehouse environments
• Production experience with cloud object storage (AWS S3 or equivalent) and an analytics platform such as Snowflake, Databricks, or BigQuery
• Hands-on expertise with Iceberg, Delta, or Hudi, plus solid knowledge of partitioning, file layout, and query optimization
• Experience building CDC and streaming pipelines (Kafka, Debezium, or similar)
• Strong SQL, data modeling, and understanding of relational and transactional data
• Experience with data quality, monitoring, and governance: lineage, access control, PII handling, retention
• Python and workflow orchestration (Airflow or Dagster)

• Ability to own technical decisions and clearly explain trade-offs

   

Bonus points:

✦ Financial, transactional, or ledger data
✦ Regulated or audit-heavy environments: fintech, gaming, banking, payments
✦ Large-scale data migration projects

If you want your pipelines to carry real money, real scale, and real responsibility, let’s talk.

We are seeking a highly analytical and detail-oriented Security Data Analyst to join our Information Security team. The successful candidate will be pivotal in safeguarding our digital assets by analyzing security data, identifying threats, and providing actionable insights to strengthen our security posture. This role combines expertise in data analysis with a deep understanding of cybersecurity principles.

Main Responsibilities

Data Loss Prevention (DLP) Management

– Manage Data Leakage Prevention tool and processes end-to-end

– Designing, implementing, and supporting new DLP rules

– Focus on reducing false positives from DLP tools to improve accuracy

– Monitor the DLP dismissal process and handle custom requests

– Conduct thorough DLP testing and validation

Security Control & Risk Management

– Design, implement, and support robust data security controls

– Manage data security projects from inception to deployment

– Performing security assessments (data security perspective) on systems and applications

– Analyze requests and approving data transfer or critical access based on security policies

– Create detailed security hardenings guides and provide system configuration requireme

Data Analysis & Reporting

– Investigate security alerts, logs, and data from SIEM and DLP systems

– Perform in-depth analysis of large security datasets

– Develop and maintain key security metrics, perform audits and report for management

Security Incident Analysis & Response

– Conducting analysis for data security incidents and providing support for L3 SOC activities

– Responding to urgent incidents outside working hours as part of an on-call rotation

– Contribute to incident response by providing rapid data analysis and forensics support

Mandatory Requirements

Technical Proficiency

– 3+ years of experience in a cybersecurity role, specifically in data analysis, SOC/incident response

– Hands-on experience with DLP technologies (e.g. Symantec)

– Strong knowledge of SIEM/Logging platforms (e.g. Elastic) and log aggregation principles

– Proficiency in scripting languages (e.g., Python, PowerShell) for data manipulation and automation

– Familiarity with network protocols, operating systems (Windows, Linux), and cloud environments (AWS, Azure)

– Knowledge of privacy and data protection regulations

Analytical Skills:

– Proven ability to collect, analyze, and interpret complex technical data to solve security problems

– Excellent problem-solving skills and attention to detail

English: intermediate or higher

Ukrainian/Russian: native or advanced

Education: Bachelor’s degree in Computer Science, Information Security, or a related field, or equivalent practical experience

We offer

Vacation: Reset. Recharge. Come back stronger.

Sick Leave Allowance: Health is power. We designed the system to support you

Benefits Model: Your budget, your rules – spend it where it counts. Day one, it’s yours. No waiting, no barriers

Motivation Bonus System: We see results. We reward drive. Our bonus system fuels performance and celebrates dedication – because excellence deserves recognition

Training Balance: Learn fast. Grow faster. Upskill, stay ahead, and keep your edge sharp

Team Building: Stronger together. We connect, compete, and celebrate – great teams don’t happen by accident

Generation Program: Focused on boosting the potential of children within our families

Work & Fun Balance: Driven at work, alive beyond it. Events, surprises, and shared moments keep our spirit high and our energy unstoppable

We are looking for a Detection Engineering & Automation Lead to improve detection quality and automation so high-risk attacker behavior is identified with less noise and faster investigation.

This is a unique opportunity to help build and mature the Detection Engineering & Automation function from an early stage, shaping processes, detection strategy, automation, and engineering best practices.

Responsibilities

• Lead and develop the Detection Engineering & Automation squad, setting priorities, mentoring team members, and driving the delivery of detection and automation initiatives
• Own the detection lifecycle end-to-end, including use-case definition, development, testing, tuning, and retirement
• Build and maintain SIEM/EDR detection rules, detection-as-code, enrichment workflows, and SOAR automation playbooks
• Collaborate with SOC, Cyber Defense leadership, Incident Response, and engineering teams to review false positives, reduce alert noise, and address detection coverage gaps
• Map detections to critical assets, attacker TTPs, telemetry sources, and incident response runbooks
• Ensure critical detections have a clear owner, documentation, and validated testing evidence
• Lead security automation initiatives that accelerate investigations while avoiding unsafe autonomous actions

Requirements

• Higher education in Computer Science, Information Security, or a related technical field is preferred
• 5+ years of experience in SOC, Detection Engineering, Threat Detection, or Security Automation
• 2+ years of hands-on experience in Detection Engineering
• 1+ year of experience leading or mentoring a team of engineers
• Hands-on experience writing and tuning detection content (Sigma, YARA, SIEM correlation rules) and applying detection-as-code practices
• Experience with SOAR platforms, automation playbooks, and scripting (Python or similar) to build integrations and automate security workflows
• Strong understanding of attacker TTPs (MITRE ATT&CK), telemetry sources (EDR, network, cloud, identity), and incident response workflows
• Experience defining and tracking Detection Engineering metrics and KPIs (MTTD, MTTR, false-positive rate, and detection coverage)
• English - Intermediate+

Will be a plus

• Experience in fintech, brokerage, trading platforms, payments, or other regulated financial environments
• Experience with cloud-native detection (CNAPP/CSPM) across AWS, GCP, and Azure
• Experience with AI/LLM-assisted alert summarization or detection tooling
• Threat intelligence and threat hunting experience (CTI feeds, MISP, Maltego, or similar tools)
• Previous experience building a Detection Engineering function from an early maturity stage

We offer

• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays as per the company’s approved Public holiday list
• Medical budget
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)