Jobs

About the role:
We are looking for an experienced Senior AWS DevOps Engineer to review, restructure and secure the existing AWS infrastructure supporting an Online Academy platform.

The platform is based on microservices and currently has separate Production, Demo and Testing/Staging environments. The infrastructure has evolved over time with manual configurations and limited access control. The goal is to establish a secure, reliable and maintainable AWS environment aligned with AWS best practices and support ISO 27001 readiness.

Responsibilities :

• Assess the existing AWS infrastructure and architecture.
• Review AWS accounts, networking, IAM, compute, storage, databases and microservice communication.
• Improve isolation between Production, Demo and Testing/Staging environments.
• Review and implement secure IAM based on least privilege and role-based access.
• Introduce Infrastructure as Code, preferably Terraform, and move infrastructure configuration into version control.
• Review and improve CI/CD and deployment processes.
• Implement and improve security controls, logging, monitoring, alerting and backups.
• Identify and address infrastructure and security gaps relevant to ISO 27001 readiness.
• Work closely with the developer re-architecting the microservices platform.
• Document the current and target architecture, access model and operational procedures.

Requirements :

• Strong hands-on AWS experience
• Terraform / Infrastructure as Code
• AWS IAM and security best practices
• CI/CD
• Microservices and containerized workloads
• AWS networking
• Monitoring and logging
• Experience with production environment isolation
• English communication skills

Nice to have :

• ISO 27001 / security compliance experience

The expected implementation scope is approximately 2-3 months, subject to the outcome of the initial infrastructure assessment.

Our AI QA team provides end-to-end testing solutions of complex AI-driven features, hardware sensors supporting AI functionality, and large-scale cloud and embedded systems. We bring proven experience in both hardware and software product development, with a strong focus on motion detection technologies.
We specialize in building and executing multi-layered automation frameworks across integration, system, and acceptance levels, ensuring comprehensive test coverage, continuous product state monitoring, and stable product releases.
The team contributes to the development of AI features and embedded systems.

We are looking for a QA Engineer with solid experience in software testing, preferably with exposure to embedded systems. In this role, you will be responsible for executing manual tests as well as expanding and maintaining our existing automation coverage.

Responsibilities:

Define requirements for test environments, data, resources, and tools
Create and maintain traceability matrices
Provide accurate high-level and detailed estimations for assigned activities and features
Develop and execute Test Plans in line with standards
Ensure automated test coverage (execution, analysis, reporting)
Contribute to the development and expansion of the existing Python test framework
Interpret and apply product and project metrics (technical and quality)
Prepare Test Summary Reports for features and programs in line with standards
Monitor, update, and implement new QA approaches based on standards (ISO/IEC/IEEE, ISTQB, RST)
Apply Quality Management principles (Planning, Assurance, Control, Continuous Improvement)

Skills:

5+ years of experience as a QA engineer

Basic knowledge in computer vision and machine learning
Understanding and hands-on experience with embedded systems testing
Good Automation skills with Python
Hands-on experience in UNIX/Linux, including CLI navigation and use of regular expressions
Experience with databases and SQL
Experience with CI tools (Jenkins)

Nice to have:

Basic experience with Raspberry Pi
Hands-on experience in Bash scripting
Familiarity with AWS services
Practical experience with API testing (CRUD operations, debugging with Postman or similar tools)
Experience in mobile testing
ISTQB Certification

We offer multiple benefits that include

• The environment of equal opportunities, transparent and value-based corporate culture, and an individual approach to each team member
• Competitive salary packages with performance-based annual reviews
• Opportunity to receive a Performance Bonus for your individual achievements and a Loyalty Bonus recognizing your dedication to the company
• Employment via Contract of Employment (UoP) in complete alignment with Polish Labour Law
• Guaranteed paid vacation, public holidays, and medical leaves as per statutory regulations
• Continuous growth and development opportunities through internal knowledge hubs, corporate courses, and free English classes
• Comprehensive private medical insurance to supplement your standard NFZ coverage.

Role Summary

We are seeking an experienced QA Team Lead to own the quality of one of our product lines end to end. The role combines hands-on testing with team leadership, working closely with product, development and support to deliver reliable releases across hardware, backend, web and mobile.

Key Responsibilities

• Lead, mentor and develop the QA team assigned to the product, aligning engineers to tasks according to their skills and professional growth.
• Build deep product and functional expertise, and serve as the quality reference point for the product line.
• Design, maintain and execute comprehensive test plans, test suites and test cases.
• Perform functional, regression and integration testing to identify defects and ensure product reliability.
• Partner with development teams to investigate issues, verify fixes and prevent recurrence.
• Collaborate with product managers, developers and stakeholders to deliver high-quality releases on schedule.

• Define and track quality metrics, and report release readiness to management.

   

Requirements

• Proven experience leading or managing QA engineers.
• Strong command of QA methodologies, processes and testing tools.
• Excellent problem-solving skills and attention to detail.
• Excellent communication and interpersonal skills; fluent English.

• Ownership mindset and a genuine commitment to product quality.

   

Advantage

• Experience testing hardware or IoT products.
• Experience with mobile (iOS/Android) and API testing.
• Familiarity with test automation frameworks.

We are looking for a Senior Media Buyer to own paid acquisition in the financial publishing vertical on Meta and Google. We work with the top partners in the space, so you will have strong offers to run. Offer access is not the hard part. Performance is. What we need is someone who can take a proven offer, find the angle, and make it profitable at scale.
 

This is not a role for someone who maintains campaigns that already work. It is a full ownership seat for a buyer who can walk into a cold offer with no creative history, form a view on the angle within a day, get it live, kill what is not working fast, and scale what is. You will be judged on profit, not on impressions, click-through rates, or how busy the account looks.

The work sits in financial publishing, but we are not hiring someone who has only ever bought in one place. Buyers who spent an entire career optimizing inside a single niche arrive with one playbook and no
second move when it stops working. Buyers who have run financial, health, auto, home, or other direct response markets and stayed profitable across them bring range, and range is what holds up when a
channel shifts or an angle burns out.

This is a hands-on seat and it stays that way. You are in the accounts yourself, at pace, with serious budget behind you. What comes with that is full ownership: the strategy is yours to set, the decisions are
yours to make, and the results are visible to everyone.

WHAT YOU WILL OWN
Offer launch and profitable scale:
● Take financial publishing offers from cold launch to profitable scale on Meta and Google
● Own the full campaign lifecycle: research, angle selection, launch, optimization, scaling, and the decision to cut
● Own the profit and loss on every campaign you run. Payout, cost per acquisition, margin, and volume are your numbers to defend
● Decide which channel fits which offer rather than pushing everything through the same playbook
● Prioritize ruthlessly across the offers available to you. Know which ones deserve budget this week and which do not
● Scale winners aggressively without letting performance collapse under the extra spend
● Build repeatable launch playbooks so a new offer goes live in days, not weeks

Creative direction and angle development:
● Own the angle. You decide what the hook is, who it speaks to, and why it will convert before
anything gets designed
● Brief designers, copywriters, and video editors with enough specificity that the first round is testable rather than decorative
● Build and maintain a creative testing pipeline with the volume and cadence the platforms demand
● Own advertorials, pre-landers, and landing page angles alongside the ad creative, and test the full path rather than the ad in isolation
● Adapt the approach to the channel. Interruption traffic and intent traffic need different angles, different funnels, and different proof
● Run competitive and market research continuously. Know what is running, what is fatiguing, and what is about to work
● Use AI tools to increase creative throughput and research speed where they genuinely help, and know where they do not

Testing discipline and budget control:
● Design test structures that produce clean signal: what is being tested, at what budget, and what result triggers which decision
● Set explicit kill rules and scale rules in advance so decisions are made on data rather than on hope
● Manage daily and monthly budgets against targets, and flag early when spend is not going to return
● Keep a clear record of what has been tested and what it produced, so the same losing angle is not relaunched twice
● Balance exploration and exploitation deliberately. Protect budget for new offers and new angles even while scaling a winner

Tracking, data, and attribution:
● Own the tracking setup end to end: trackers, server to server postbacks, conversion APIs, pixels, and parameter hygiene
● Validate that the numbers are real before scaling on them, and debug attribution gaps yourself rather than escalating them
● Work with analytics on reporting that shows profitability by offer, angle, creative, and placement
● Reconcile platform data against network and advertiser data, and chase discrepancies until they are explained
● Use post-click and post-conversion data to inform buying decisions, not just front end metrics

Account infrastructure and compliance:
● Own account structure, ad account health, and the operational setup that keeps spend running without interruption
● Keep creatives and funnels inside Meta and Google policy. We build for longevity, not for a week of spend before a ban
● Manage relationships with platform reps and vendors, and use them to unlock scale and resolve issues fast
● Work with our partners on payouts, caps, creative approvals, and early access to new offers
● Maintain documentation on setups, integrations, and process so nothing sits only in your head

Playbooks and standards:
● Turn what works into documented playbooks: launch structures, test frameworks, angle libraries, and creative briefs
● Set the standard for how buying is done here through your own results
● Report on a clear cadence: what is spending, what is working, what gets cut this week, and what needs a decision
● Share what you learn with the creative and analytics teams so wins do not stay locked inside your accounts

WHAT WE ARE LOOKING FOR
Must-have:
● 5 or more years of hands-on media buying with direct ownership of spend and profitability, not
agency reporting or campaign assistance
● Big-budget experience. At least 100,000 dollars a month in ad spend that you personally managed, sustained over time rather than in one spike. Below that level this is not the right role
● Financial publishing experience is what we are looking for first. Health direct response is the closest adjacent background
● If not financial publishing, then a track record across at least three distinct verticals, with auto and home a strong plus. A career spent inside a single niche is a mismatch here, and gambling-only backgrounds in particular tend to be too narrow
● Deep Meta buying expertise: account structure, testing frameworks, creative volume, scaling mechanics, and account health at high daily spend
● Hands-on Google buying experience across at least one of Search, Demand Gen, YouTube, or Performance Max, with a real view on how buying there differs from Meta
● Proven ability to take an offer from zero to profitable scale, with specific numbers you can walk through
● Creative and angle ownership. You direct the creative and the funnel rather than waiting for assets to be handed to you
● Tracking fluency: trackers, server to server postbacks, conversion APIs, and the ability to debug attribution yourself
● Comfortable being measured on profit and comfortable saying when something is not working
● Self-directed. You can run a full portfolio without a large support structure around you
● Excellent English, written and verbal (C1 or above)

Nice to have:
● Native buying experience on the major networks
● Financial publishing, newsletter, or subscription direct response background
● Auto and home verticals, including insurance and home services lead generation
● Subscriber acquisition and list building economics, buying against lifetime value rather than front end conversion alone
● Familiarity with the funnel formats this vertical runs on: advertorials, long form sales pages, VSLs, and lead magnets
● Fluency with AI tools for creative production, research, and analysis

WHO FITS THIS ROLE
You are a buyer who has scaled offers profitably with your own money on the line, or close enough to it that it felt that way. You can walk through the numbers on your best campaigns and your worst ones
without reaching for excuses. You know the difference between a campaign that worked and a campaign that happened to run during a good week. 

You have worked across several verticals and you treat that as your advantage rather than a gap. You have been the new person in an unfamiliar market before, and you know how you get up to speed: the research, the angles you borrow, the assumptions you test first. Buyers who have only ever run one niche tend to have one playbook. You have several, and you know which one to reach for. You think in angles before you think in settings. You know that creative and offer selection decide most of the outcome and that account optimization only moves the last stretch. 

You brief creative properly, you
test at volume, and you do not fall in love with an ad that is losing money. You move fast and you decide fast. You do not need a full picture before you act, and you do not sit on a losing test hoping it turns. You set your kill rules in advance and you follow them.

You work independently and you want to stay in the accounts. You are used to owning a portfolio without a machine of specialists behind you, and you know how to get what you need from the people around
you. This is a senior buyer seat, and going deeper on the channels rather than away from them is the point.

Our client is building a digital twin engine that simulates enterprise IT environments (cloud, SaaS, identity, endpoints, networks, security products) with high fidelity, then runs attacks from agentic red teams against them to capture realistic telemetry for AI security training and evaluation.

This is a zero-to-one build — you'll define the architecture and technical direction from scratch.
 

Who we're looking for

A hybrid of offensive security expert and production software engineer — someone who thinks like an attacker and can turn that into a reliable, scalable system. Not a pure pentester, not a pure backend engineer.
 

Scope of Work

• Own the architecture and hands-on development of the digital twin engine.
• Build high-fidelity simulations of company stacks — users, networks, cloud, SaaS, identity, endpoints, security products.
• Run attacks from agentic red teams and capture realistic telemetry.
• Adapt environments to customer stacks while protecting privacy, isolation, and authorization boundaries.
• Lead the technical roadmap and engineering standards across contributors.
• Keep the engine reproducible, reliable, scalable, and easy to extend.
   

Requirements

• Deep offensive/defensive security knowledge, including how security products (EDR/XDR/SIEM) work internally.
• Cloud security experience (AWS/Azure/GCP) and familiarity with anti-forensics techniques.
• Ability to judge whether a scenario and its telemetry are realistic, too easy, or ambiguous.
• Strong software engineering skills — proven experience shipping and operating production systems.
• Experience building cyber ranges, digital twins, security labs, or large-scale simulated environments.
• Strong knowledge of security telemetry and data pipelines (cloud, SaaS, identity, endpoints, networks).
• Comfortable leading ambiguous, zero-to-one development under uncertainty.
• Strong project planning, technical coordination, and code review skills.
   

Nice to have: AI agents/evals experience (guardrails, reproducibility, human review); conference talks or CTF/red team community involvement; background at BAS companies (Pentera, SafeBreach, Cymulate) or cyber range platforms (CybExer, SimSpace).

Sii Ukraine is a subsidiary of Sii Poland — the leader in IT, engineering, and consultancy services with over 7500 IT experts in Poland and more than 250 prestigious customers.

We are looking for a QA Automation Engineer to join a large-scale online betting and gaming platform supporting internationally recognized brands.

The project focuses on delivering reliable, high-quality web applications and seamless end-to-end customer journeys in a highly transactional environment.

You will work closely with QA Engineers, Developers, Product Owners and other stakeholders throughout the Software Development Lifecycle, with a strong focus on test automation, regression coverage and continuous delivery.

Responsibilities:

• Develop and maintain automated end-to-end tests using Playwright and JavaScript\TypeScript
• Design and extend automated regression test suites for web applications and critical customer journeys
• Create reusable and maintainable test automation components
• Improve and extend the existing automation framework
• Analyse business requirements, user stories and acceptance criteria to define appropriate test coverage
• Perform functional, regression, integration and exploratory testing
• Validate end-to-end flows across multiple application components and integrated services
• Identify, document and track defects
• Support developers with root cause analysis
• Investigate failed automated test executions and distinguish application defects from automation issues
• Maintain and improve automated tests to increase stability, reliability and test coverage
• Support quality validation of new features before production deployment
• Collaborate with Developers, Product Owners, Business Analysts and other QA Engineers
• Participate in refinement, planning and other Agile/Scrum activities
• Contribute to the continuous improvement of QA processes, testing practices and automation strategy
• Support automated test execution as part of CI/CD pipelines

Requirements:

• Strong experience in QA Automation
• Hands-on experience with Playwright
• Good practical knowledge of JavaScript
• Experience creating and maintaining automated E2E tests
• Experience with web application testing
• Good understanding of functional, regression and integration testing
• Experience working with automated regression suites and test frameworks
• Understanding of CI/CD and automated test execution in pipelines
• Ability to analyse requirements and define test coverage
• Experience investigating test failures and identifying the root cause
• Experience working in an Agile/Scrum environment
• Good communication and collaboration skills
• English at a level sufficient for communication within an international team
• Tax residence in Ukraine required

Nice to Have:

• Experience working with large-scale or highly transactional web platforms
• Experience testing complex customer journeys
• Experience with integrated services and distributed application components
• Experience improving existing automation frameworks
• Experience with API testing
• Experience working with international teams and stakeholders

Team & Ways of Working

• Agile/Scrum methodology
• Close collaboration between QA, Development, Product and Business teams
• Strong focus on test automation and continuous improvement
• Automated testing integrated into CI/CD processes
• Focus on quality throughout the entire Software Development Lifecycle

Kindgeek is looking for a sharp, curious Business Analyst who thrives at the intersection of finance and technology. Your mission will be to turn complex FinTech and crypto requirements into clear, actionable solutions that our Agile teams can build with confidence. Along the way, you’ll also help shape new client engagements, bringing structure and clarity to opportunities from the very first conversation.

RESPONSIBILITIES

As a Business Analyst, you will be responsible for:

• Defining and communicating the product vision and roadmap to the Agile team, adjusting it based on stakeholder feedback and market changes;
• Creating, maintaining, and prioritizing the product backlog, including clear user stories and acceptance criteria;
• Engaging with stakeholders to gather requirements and acting as the primary liaison between business and the Agile team;
• Participating in sprint planning and reviews, adjusting priorities based on team feedback and retrospectives;
• Defining acceptance criteria and validating delivered functionality against business needs;
• Analysing technical diagrams and supporting the development team in documenting back-end business logic;
• Supporting pre-sales activities, including client discovery calls, proposal preparation, and Work Breakdown Structures (WBS).

REQUIREMENTS

We’re looking for a Business Analyst who has:

• 5+ years of experience as a Business Analyst, preferably within the FinTech sector;
• Hands-on exposure to crypto on-ramp/off-ramp solutions and banking/payment systems;
• Strong understanding of financial technologies, with proven expertise in crypto and banking payments;
• Genuine interest in learning adjacent sub-domains such as open banking, card processing, and AML/KYC;
• Proven ability to work on technical projects, including API analysis and solution design;
• Excellent analytical skills, with the ability to think critically and solve complex problems;
• Outstanding communication skills, with the ability to convey technical information to non-technical stakeholders;
• Collaborative attitude, with the ability to work effectively within a dynamic team environment;
• Experience participating in pre-sales activities, including proposal and WBS preparation.

Will be a plus:

• Experience working with Agile/Scrum methodologies in a FinTech environment;
• Familiarity with AML/KYC or open banking regulations;
• Experience presenting solutions directly to clients during pre-sales stages.

WHAT WILL YOU GET WITH KINDGEEK

We want you to thrive and feel supported

Professional growth: at Kindgeek, we want our employees to grow and achieve ambitious professional goals. We support professional development with training and certification refunds and provide regular feedback and technical reviews.

Benefits package: Kindgeek offers all team members competitive compensation and a benefits package that includes 18 working days of fully paid vacation, 10 compensated by 50% sick leaves without a note from the doctor, and an opportunity to take study leaves. Depending on how long you stay in the company, you can receive different health insurance packages from our partners.

Personal growth: as a part of our team, you will have access to corporate English courses with a 50% reimbursement, take advantage of our offline library and access a large selection of corporate training and classes. Also, every employee can request any internal or external training or certification if it applies to his or her work responsibilities.

Geek community: at Kindgeek, we value community — even in the full-scale invasion times, we take every opportunity to stick together. Our geeks organise various online and offline clubs — from stretching and skiing to English. We volunteer together and support each other.

Flexibility: Kindgeek offers a hybrid working model. Team members can work remotely or from the office or Kindgeek London Hub — an innovative cafe-style co-working in Lviv (it’s pet-friendly!).

We encourage you to apply

At Kindgeek, we encourage everyone to apply — regardless of nationality, race, gender, marital status, disability, sexual identity, or religion. We are growing into an inclusive, equal-opportunity company where only professionalism, competence, and ideas matter. We are committed to supporting mobilised employees and veterans joining Kindgeek and facilitating their career development. We aim to bring equal opportunities to all team members and candidates — especially those underrepresented in technological companies.

Who we are:

We’re a Ukrainian multi-product company building powerful tools for database management, data connectivity, and productivity — trusted by over 500,000 users across 120 countries. Since 1997, we have been streamlining data workflows for professionals and teams with our intuitive and efficient software products.

We’re committed to enhancing the experience of our customers across the globe by minimizing data-related tasks and enabling them to focus on more inspiring goals. Among our clients, you can find such legends as Microsoft Corporation, Oracle America, IBM, Intel, and many other companies that deserve their place in Fortune-100 and Fortune-500.

Whether it’s global companies or individuals, we provide a customer-centric approach, delivering high-quality solutions and exceptional support.

Driven by passion, we play a substantial role in shaping the future of data management

Product that needs your engagement:

Mobion is a cloud-based white-label platform for ride-hailing and corporate transport services. Launched in 2016 by Devart, it supports operators in 6+ countries and has handled over 20 million rides for 4M+ users and 500K drivers.

Our ecosystem includes rider and driver apps, a real-time dispatch system, admin dashboards, and branded web portals — all backed by a secure, scalable Azure infrastructure. We offer both SaaS and franchise models to help partners grow fast across regions.

Your mission:

As Head of Business Development, you will own revenue growth and build a scalable sales engine focused on proactive customer acquisition and international expansion.

Your key mission will be to build outbound sales from scratch, identify and engage high-potential accounts, and turn them into closed deals while expanding existing lead generation through account-based outbound, partnerships, and industry-specific channels.

Your future challenges & opportunities:

• Build and shape Mobion’s commercial function with direct ownership of revenue and pipeline growth.
• Drive international expansion and define the right GTM model across markets — direct sales, partnerships, or self-serve.

• Win complex B2B deals in a competitive market while building a scalable multi-channel sales model.

   

Your future team of professionals:

You will lead and collaborate closely with a cross-functional commercial team, including a Sales Manager, Marketing Team, and Account Manager, aligning efforts across acquisition, sales, and customer growth.

The impact you will make:

• Build outbound sales from the ground up, including target accounts, segmentation, messaging, and sales processes.
• Personally lead the full sales cycle from qualification and demo to pilot, contract, and onboarding handover.
• Develop partner networks across markets, including resellers, industry associations, and complementary vendors.
• Lead and develop the commercial team across Sales, Marketing, and Account Management.
• Improve inbound conversion and define the optimal sales motion by market and segment.

• Lead expansion into new regions and represent Mobion at relevant industry events and conferences.

   

We’re looking for someone with:

• 5+ years of experience in B2B SaaS sales, including 3+ years of individual quota ownership and end-to-end deal closing.
• Proven experience building outbound sales from scratch, from segmentation and messaging to first closed deals.
• Experience in complex mid-market sales with multiple decision-makers, 1–6 month sales cycles, pilots, and technical implementation.
• Experience launching B2B products in new geographic markets and owning commercial results.
• Strong understanding of the unit economics of different sales channels and GTM motions.
• Experience leading sales teams, including pipeline management, coaching, and performance tracking.
• Experience selling into traditional, non-tech industries and engaging decision-makers through phone and in-person outreach.
• Excellent written and spoken English (C1+).

Will be a plus:

• Experience in mobility, ride-hailing, fleet management, logistics software, or related industries.
• Experience with white-label or platform products, reseller networks, or partner-led sales.
• Experience with multiple GTM motions, including Sales-led, Partner-led, Product-led, and self-serve.

Benefits you get

• Maintain your work-life balance

19 days of annual vacation granted on a pro-rata basis

No overtimes required

• Hybrid type of cooperation

Whether you prefer to work remotely in the comfort of your home office or from one of our 4 offices, you can still take part in increasing the world`s awareness about quality Ukrainian products from any part of the world

• Stay healthy

Medical insurance from one of the top insurance companies in Ukraine with a wide range of included services, as well as special programs for relatives; and special options for those who live abroad.

15 working days of sick leave per year — because your health is a priority.

• Grow with us

In-house English courses — increase your proficiency through our online courses and speaking clubs with a native speaker

Online learning activities — workshops, lectures, and webinars to enhance your leadership, management, and self-awareness skills

Experience exchange — we are proud of our team of professionals who gladly share their deep expertise in all kinds of fields with the rest of the team

Promotions, rotations, and transitions — when you believe your skills could benefit a different role or team.

• Stand with Ukraine!

We have an active pro-Ukrainian position, and that means we help our army, our servicemen, and their families not only through constant donations and volunteering, but also through our military leave policy, special health insurance options, and financial help

We are a perfect match if you share our values

We are professionals in our field.

We know how to turn up our professionalism to the maximum, because we are experts who enjoy solving complex tasks.

We know how to focus on the product, think big, and at the same time delve deep into the details.

We create a calm and friendly atmosphere within the company.

We value the freedom of open and transparent communications.

Radical honesty is embedded in the foundation of our culture.

We are open to new things and constantly develop and practice regular knowledge sharing, which helps us evolve continuously.

Most importantly, the company creates an environment where we can fulfill our potential upon a solid foundation.

Our Hiring process:

• Introductory interview with the recruiter
• Skill assessment interview
• Case interview
• Offer call

We approve of a flexible approach, so these steps might be changed individually.

We strive to ensure transparency and openness in the hiring process, and we understand the importance of providing timely feedback. If your resume meets the job requirements, we will contact you to clarify details and schedule an interview within 2 weeks after your application is submitted.

The timeframe for feedback between interview stages may take up to 2 weeks.

We are looking for an experienced Head of Sales Manager in the iGaming industry. You will manage client relationships, drive sales, and contribute to the growth of our business.

Requirements:

• At least 1 year of experience managing a sales team;
• Minimum 4 years of experience as a Sales Manager, preferably in iGaming;
• Strong contacts and network within the iGaming industry;
• Fluent in English;
• Proficient in Microsoft Office, email communication, and any CRM systems;
• Proven track record of achieving sales targets;
• Strong negotiation, communication, and presentation skills.
•  

Responsibilities:

• Develop and maintain relationships with key clients in the iGaming sector;
• Identify new business opportunities and drive revenue growth;
• Manage the full sales cycle: prospecting, pitching, negotiating, and closing deals;
• Maintain accurate records of sales activity in CRMs;
• Collaborate with internal teams to ensure client satisfaction;
• Prepare reports and updates for management.
  
  Benefits
• 21 vacation days + 2 extra day-offs annually;
• 12 paid sick days;
• Fully remote format — work from anywhere you feel productive;
• Flexible schedule: start your day anytime between 08:00–11:00 CET;
• Fixed budget for health insurance and gym/fitness;
• Provided all required work equipment;
• Zero bureaucracy and direct communication with founders and C-level;
• Minimal meetings, async-friendly workflow;
• Startup energy: fast motion, creativity, and tight-knit communication;
• Business trips and team meetups several times per year;
• Multiple salary payout options (flexible formats);
• …And many more perks unlocked after we hit break-even.

Level: Senior Engagement: Long-term contract Location: Europe (EU / EEA / UK), remote Working hours:EU business hours, shifted 2–3 hours later to ensure daily overlap with US West Coast (PST/PDT) mornings

ABOUT THE CLIENT

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

ABOUT THE ROLE

We are looking for a Senior Software Engineer to design, build, and own significant components of the core query engine of a large-scale distributed data platform. You will lead work across query planning, optimization, and execution — driving architectural decisions, mentoring middle engineers, and pushing the platform's performance and scalability boundaries across all major clouds.

This is a systems-level, backend engineering role focused on distributed data processing internals — not application development or CRUD services.

RESPONSIBILITIES

• Architect, design, and implement significant components of the query engine — planner, optimizer, execution operators, memory management, and data access layers.
• Write and review high-quality, performance-critical code in Java and/or C++.
• Own end-to-end delivery of features from technical design through production rollout.
• Drive performance optimization work — profiling, benchmarking, and eliminating bottlenecks in latency- and throughput-sensitive paths.
• Integrate deeply with columnar formats, open table formats, and connectivity drivers.
• Mentor middle engineers, lead code reviews, and set technical standards for the team.
• Contribute to CI/CD architecture and quality processes across Jenkins, containerization, and multi-cloud deployment (GCP, AWS, Azure via Kubernetes / Docker).
• Debug complex, cross-layer issues spanning query planning, distributed execution, memory management, and I/O.
• Partner with US-based engineering leads on design reviews, architectural decisions, and roadmap execution.

REQUIRED QUALIFICATIONS

• Education: B.S. or M.S. in Computer Science, Computer Engineering, or a related technical field.
• Programming: Strong proficiency in Java or C++, with deep understanding of OOP, systems design, memory management, and concurrency. Candidates strong in both are especially valued.
• SQL & Data: Advanced SQL skills and strong understanding of query execution internals — planning, optimization, and operator implementation.
• Data processing systems experience: Demonstrated experience building or extending data processing systems — query engines, distributed databases, ETL/ELT frameworks, or analytical platforms.
• Engineering experience: 5+ years in backend/systems software engineering, with a track record of owning significant components.
• CI/CD & DevOps: Solid experience with Jenkins and modern engineering workflows.
• Containers & Orchestration: Strong working knowledge of Docker and Kubernetes.
• Cloud: Hands-on experience with at least one major cloud (GCP, AWS, or Azure); exposure to more than one is a strong plus.
• Version Control: Confident with Git / GitHub workflows and rigorous code review practices.
• English: Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team.
• Availability: Able to work EU hours with a 2–3 hour shift toward US West Coast time to ensure daily overlap with the client team.
• Leadership: Prior experience mentoring engineers, leading technical designs, or owning components end-to-end.

DESIRED SKILLS

• Deep experience with Apache Arrow (columnar in-memory format).
• Hands-on experience with Apache Calcite (SQL parsing, planning, optimization framework).
• Experience with Gandiva or LLVM-based expression compilation and code generation.
• Experience with open table formats — Apache Iceberg, Delta Lake, or Hudi.
• Deep familiarity with distributed computing frameworks (e.g., Apache Spark, Kafka) and MPP SQL query engines (e.g., Presto, Trino, or similar).
• Deep understanding of query planning, optimization (cost-based, rule-based), and execution internals.
• Experience with data connectivity drivers: JDBC, ODBC, Arrow Flight.
• Kubernetes on managed services (GKE / EKS / AKS) and multi-cloud exposure.
• IaC tools such as Terraform.
• Track record of performance optimization at the systems level — profiling, vectorization, cache/memory-conscious design.
• Prior experience contributing to open-source data infrastructure projects.
• Please note: We can consider only candidates currently residing in the EU, EEA, or the UK

Level: Senior Engagement: Long-term contract Location: Europe (EU / EEA / UK), remote Working hours:EU business hours, shifted 2–3 hours later to ensure daily overlap with US West Coast (PST/PDT) mornings

ABOUT THE CLIENT

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

ABOUT THE ROLE

We are looking for a Senior SDET to lead the design of automated test frameworks and testing strategy for a large-scale distributed data platform. You will own the quality of the query engine, connectivity layer, and backend services end-to-end — from framework architecture through CI/CD infrastructure across all major clouds — and mentor middle engineers on the team.

This is a data-heavy, backend-focused role. We are not looking for web/UI QA engineers — the work centers on validating distributed query execution, data correctness at scale, connectivity drivers, and backend microservices.

RESPONSIBILITIES

• Architect, design, and evolve automated test frameworks in Python / pytest for backend services, REST APIs, and distributed data components.
• Define testing strategy for new features and platform components — coverage, risk assessment, and quality gates.
• Own end-to-end, integration, performance, and regression testing covering SQL query execution, data correctness at scale, and platform APIs.
• Lead performance and load testing efforts with JMeter, including workloads over JDBC / ODBC / Arrow Flightdrivers.
• Design and validate large-scale data testing scenarios — query plans, result correctness across heterogeneous data sources, metadata consistency, and behavior under high concurrency.
• Own CI/CD test pipelines in Jenkins — architect, maintain, and continuously improve.
• Provision and manage test environments in Kubernetes (GKE / EKS / AKS) across GCP, AWS, and Azure using Docker; drive automation and reproducibility.
• Investigate complex, cross-layer failures and drive root-cause analysis with engineering.
• Mentor middle SDETs, review test designs, and set quality standards across the team.
• Partner with US-based development leads on shift-left practices, testability, and release readiness.

REQUIRED QUALIFICATIONS

• Education: B.S. or M.S. in Computer Science, Computer Engineering, or a related technical field.
• Programming: Strong proficiency in Python, including pytest, with deep understanding of OOP, software design principles, and test framework architecture.
• SQL & Data: Advanced SQL skills and strong understanding of relational and analytical data systems, including query execution internals.
• Data-intensive testing experience: Demonstrated experience testing data-intensive systems — query engines, ETL/ELT pipelines, streaming platforms, or analytical databases. Candidates with only web/UI QA backgrounds are not a fit.
• Testing experience: 5+ years in backend/system test automation, with demonstrated ownership of test strategy and infrastructure.
• CI/CD & DevOps: Solid experience architecting and maintaining Jenkins pipelines and test environments.
• Containers & Orchestration: Strong working knowledge of Docker and Kubernetes (running workloads, debugging pods, deploying complex environments).
• Cloud: Hands-on experience with at least one major cloud (GCP, AWS, or Azure); exposure to more than one is a strong plus.
• Version Control: Confident with Git / GitHub workflows and code review practices.
• English: Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team.
• Availability: Able to work EU hours with a 2–3 hour shift toward US West Coast time to ensure daily overlap with the client team.
• Leadership: Prior experience mentoring engineers, defining test strategy, or leading a QA/SDET function.

DESIRED SKILLS

• Deep experience testing REST APIs and backend microservices at scale.
• Hands-on with distributed computing frameworks (e.g., Apache Spark, Kafka) and MPP SQL query engines(e.g., Presto, Trino, or similar).
• Strong understanding of modern data lakehouse concepts, open table formats (Apache Iceberg), and data warehousing.
• Experience with data connectivity drivers: JDBC, ODBC, Arrow Flight.
• Performance testing with JMeter or comparable load-testing tools at production scale.
• Kubernetes on managed services (GKE / EKS / AKS) and multi-cloud exposure.
• IaC tools such as Terraform.
• Deep understanding of query plan generation, query acceleration / materializations, and metadata integrity in distributed data systems.
• Prior experience leading a QA/SDET function in a data-platform or database engineering environment.
• Please note: We can consider only candidates currently residing in the EU, EEA, or the UK.

We are looking for an experienced Senior / Lead Data Analytics Manager to build and lead the analytics function for our Cards & Wallets business.

This is a hands-on role for someone who enjoys working with large-scale transactional data, building analytical infrastructure from the ground up, and turning complex datasets into actionable business insights.

You will work closely with Commercial, Finance, Product, and Operations teams, helping them make data-driven decisions through reliable analytics, dashboards, and reporting.

What You'll Do

Build the Analytics Foundation

• Design and build an end-to-end analytics infrastructure for the Cards & Wallets business.
• Design and maintain analytical data models, data marts, and reporting datasets.
• Build and improve the company's analytical Data Lake.
• Ensure data consistency, quality, and reliability across multiple systems.
• Create a unified customer view across different data sources.

Business & Product Analytics

• Analyze large transactional datasets to identify trends, customer behavior, and business opportunities.
• Build customer segmentation, cohort analysis, retention analysis, and LTV models.
• Analyze transaction behavior across products, BINs, merchants, geographies, and customer segments.
• Identify business patterns and proactively suggest improvements based on data.

BI & Dashboards

• Design and develop business dashboards using Tableau, Power BI, Metabase, or similar BI platforms.
• Build dashboards that become daily decision-making tools for Commercial, Finance, Product, and Operations teams.
• Automate recurring reporting and reduce manual reporting efforts.
• Ensure the accuracy and consistency of analytical reports.

Commercial Analytics

• Support pricing analysis and unit economics through data-driven insights.
• Analyze transaction profitability and business performance.
• Build analytical models to evaluate pricing changes and business scenarios.
• Help commercial teams understand customer behavior and revenue opportunities.

Executive Reporting

• Prepare analytical reports for senior management.
• Transform complex data into clear recommendations and actionable insights.
• Work closely with business stakeholders to answer analytical questions and support strategic decisions.

Build the Analytics Function

• Own the analytics function for the Cards & Wallets direction.
• Prioritize analytical requests from different business teams.
• Help define the future BI architecture and analytics processes.
• As the function grows, participate in building and mentoring the analytics team.

Requirements

• 5+ years of experience in Data Analytics, BI, Product Analytics, or Commercial Analytics.
• Strong SQL skills, including: Window Functions, CTEs, Query optimization, Large transactional datasets.
• Experience building analytical data models and data marts from scratch.
• Experience working with Data Warehouses and/or Data Lakes.
• Hands-on experience with Tableau, Power BI, Metabase, or similar BI platforms.
• Experience designing dashboards that are actively used by business teams.
• Strong analytical thinking with the ability to identify patterns, trends, and business opportunities in large datasets.
• Experience automating reporting and improving analytical processes.
• Ability to communicate analytical findings clearly to both technical and non-technical stakeholders.
• B2+ (C1 preferred).

Nice to Have

• Experience in FinTech, Payments, Banking, Card Issuing, Acquiring, PSP, Digital Wallets, or Neobanking.
• Experience working with transaction-level data.
• Understanding of payment flows and transaction lifecycle.
• Experience with pricing analytics, unit economics, or profitability analysis.
• Experience building alerting systems and automated business monitoring.
• Previous leadership or mentoring experience.

Why Join Us?

• Build the analytics function from the ground up.
• Work directly with Commercial, Finance, Product, and executive leadership.
• Own the analytics architecture and influence business decisions.
• Solve complex analytical challenges using real transaction data.
• Grow into the Head of Analytics for the Cards & Wallets business.

We’re looking for a Chief Executive Officer (CEO) to take full ownership of one of AIBY’s core product groups — up to $70M ARR consumer subscription business — and scale it into its next phase of profitable growth.

Your mission – maximize the Net Profit and Long-Term Value (LTV) of your multi-platform portfolio of apps across iOS, Android, and web by aligning product innovation with data-driven performance marketing.

Unlike a solo founder, you aren’t starting from zero. As a Business Unit CEO, you have:

• immediate access to AIBY’s historical data from 70+ apps to see what works
• centralized Legal, Finance, and HR so you can focus 100% on the product and the users
• significant UA budgets and infrastructure already in place

What you will do:

• P&L Ownership: you’re 100% accountable for the revenue, marketing spend, and operational costs of your unit
• Strategic Roadmap: define the “Why” and the “When”. You decide which features to build based on their projected impact on retention and monetization
• Growth & Monetization: work hand-in-hand with your UA Lead to optimize ROAS (Return on Ad Spend) and Payback Periods. You’ll oversee the subscription funnel, A/B testing, and paywall optimizations
• Cross-Functional Leadership: build, structure, and scale a high-performing team across Product, Growth, Marketing, Engineering, and Design
• Resource/ Capital Allocation Strategy: you have the autonomy to decide where to “bet” your resources. If a specific app in your unit is scaling, you pivot the team’s focus there immediately
• Partnership with the Board and Founders: you’re involved in strategic decision-making at the C-level, with direct impact on business metrics, financial results, and the product ecosystem

What you should have:

• 7+ years of experience in product-based B2C businesses (subscription, mobile/web)
• 3+ years in leadership roles with direct P&L ownership (CPO, CMO, GM, CEO, Product Director, Head of Product, Head of Marketing, etc.)
• Product-Marketing Hybrid expertise: you can speak “Engineering” to the devs and “ROAS” to the marketers. You understand how a product change affects ad performance and vice versa
• Proven 0→1 and scale-stage experience: launching new units, restructuring businesses, scaling early-stage products to meaningful revenue, or founding a startup
• Strong financial acumen: you live in the dashboards. You understand the nuances of cohorts, LTV/CAC ratios, and churn rates in a subscription-based model
• Mentality: ownership, clarity, decisiveness, speed, and persistence
• Entrepreneurial mindset

What we offer:

• Full strategic and operational ownership of a multi-million ARR business unit
• Competitive fixed compensation + performance-based bonus + long-term incentive structure
• The opportunity to scale a category-leading product portfolio into a global market-defining player
• Results-oriented colleagues committed to scaling impactful products. Your team will help you achieve the most ambitious goals
• Remote-friendly work environment with high autonomy and minimal bureaucracy

Location

AIBY is a team of strong international top talents. This role allows for either hybrid (combining in-office and remote work), fully remote or in-office work.

RedCore is an international business group that creates technological solutions for digital markets. Our products and services cover fintech, marketing, e-commerce, customer service, communications, and regulatory technologies.

We are looking for a Team Lead Fullstack to join our team!  

Requirements: 
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field;
- 5+ years of experience in software engineering, including production fullstack delivery;
- 1+ year of experience leading the team; 
- Ability to lead delivery: planning, unblocking, technical quality, and communication with stakeholders.
- Strong proficiency in Python and TypeScript;
- Experience with back-end frameworks (FastAPI);
- Solid experience with Angular (standalone components, signals, OnPush strategy);
- Expertise in object-oriented programming and SOLID principles;
- Solid understanding of computer science fundamentals, data structures, and algorithms;
- Strong knowledge of concurrency, parallelism, and related concepts;
- Experience with RESTful APIs and microservices architecture;
- Proficiency in version control systems, particularly Git;
- Familiarity with CI/CD pipelines and DevOps practices;
- Strong understanding of SQL database systems;
- Knowledge of containerization technologies (Docker, Kubernetes);
- Testing and quality mindset; understanding Test Pyramid methodology and different Test Categories (pytest, Jasmine/Karma or similar);
- Understanding of Observability (structured logging, metrics, traces, OpenTelemetry) and Reliability (retries, backoff, idempotency);
- Experience with authentication and authorization (OIDC/JWT; Keycloak or similar identity providers); 

Will be a plus: 
- Experience with message brokers (e.g., NATS JetStream, Kafka, RabbitMQ);
- Experience with ClickHouse or other analytical/OLAP databases;
- Experience with Playwright or similar browser automation. 

Responsibilities: 
- Take ownership of team projects, including delivery coordination, technical quality, risks, dependencies, and day-to-day execution;
- Plan and coordinate team work considering priorities, developer availability, vacations, sick leaves, and backup ownership;
- Ensure delivered solutions follow agreed architecture and clarify unclear technical decisions with Architect/stakeholders;
- Be responsible for quality, consistency, maintainability, and production readiness of solutions delivered in code;
- Lead code reviews and improve engineering practices across testing, observability, documentation, reliability, and security;
- Develop and maintain robust, scalable web applications;
- Design and implement efficient high-load APIs;
- Ensure high performance and responsiveness of applications;
Implement security measures and data protection in line with industry standards;
- Troubleshoot, debug, and upgrade existing software;
- Support and mentor developers through technical guidance, 1:1 meetings, knowledge sharing, and development planning;
- Identify knowledge gaps, reduce single points of failure, and organize knowledge sharing across team projects;
- Promote practical AI-assisted engineering in the team, including development, testing, documentation, debugging, and review workflows;
- Ensure AI-assisted work improves delivery speed without reducing code quality, security, or maintainability;
- Write technical documentation and maintain system architecture diagrams;
- Stay updated with emerging technologies and industry trends.

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

🧑🏻‍💻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 more

🎳Other benefits could be added based on your location. 
 

Type: Full-time, remote
Location: EU + CIS + Balkans (citizenship doesn't matter — what matters is current location and the jurisdiction from which access to client servers would occur)
Contract: 12 months, long-term, with potential for extension
Start date: Early September 2026 (ASAP)
Time zone: CET
English: B2 minimum, C1 preferred

About the Role

We're looking for a senior Data Architect to design and modernize an Azure data platform, including the data architecture underpinning GenAI/RAG/Agentic applications. This is an architecture role, not hands-on RAG/ML development — the focus is on how enterprise data and knowledge are ingested, prepared, stored, governed, and made available for retrieval and AI consumption.

Must-Haves

• Azure Cosmos DB — hands-on experience with data modeling, partitioning, indexing, RU/throughput and cost optimization, consistency, Change Feed
• Proven experience designing data platforms supporting GenAI/RAG use cases
• AI-ready data architecture experience
• A real project where the candidate designed or contributed to the data architecture supporting a RAG, GenAI, or Agentic AI application
• Azure Synapse Analytics — depth across workload patterns (Pipelines, Spark, Serverless SQL, Dedicated SQL Pools)
• Azure Databricks
• Azure SQL MI / SQL Server / T-SQL
• Azure Data Lake / Lakehouse architecture
• Azure Functions
• Experience with structured and genuinely unstructured data (documents, PDFs, scans, images, email, free text)
• Metadata/configuration-driven ingestion — reusable, scalable design for onboarding new data sources
• Demonstrated architecture ownership — real decisions made, not just pipeline implementation
• At least 4 years of recent (not dated) hands-on Azure experience
• Must be an Architect by role, not a Data Engineer

What You'll Do

• Take over an existing, problematic data platform, quickly assess it, and deliver both tactical fixes and a longer-term target architecture
• Design a reusable ingestion architecture for heterogeneous sources (databases, APIs, files)
• Make technology-neutral calls on when Databricks/Synapse/ADF are actually needed — and when they're not
• Produce detailed, implementation-ready architecture documentation for engineering teams
• Own data governance, data quality, and incremental processing
• Communicate effectively with both technical and business stakeholders

A Note on GenAI/RAG

You won't be building RAG solutions or AI agents yourself. What's required is experience designing the data architecture around such applications — how enterprise data and knowledge get ingested, processed, indexed, and made available for retrieval and AI consumption (document processing, OCR, chunking, embeddings, vector search, etc.), including where Cosmos DB fits into that picture.

Interview Process

1. Intro call
2. Technical interview (~1 hour)

Be ready to walk through 2–3 concrete project examples using: problem → options considered → your decision → rationale → implementation → result. The focus is less on definitions and more on how you think as an architect and how quickly you can turn a messy existing situation into practical direction for an engineering team.