Jobs at Djinni

Techstack is a technology product engineering company that sets an example for high development standards in the IT industry. We empower each team member to influence the development of the product, company, and processes.
About the role:
We’re working with a maritime training and simulation company based in the Netherlands.

The company provides training, assessment, simulation, and digital learning solutions for the global maritime industry.

The project focuses on the cloud platform behind these services. It runs on AWS and Kubernetes and is being evolved into a secure, reliable, and maintainable multi-account environment managed through Infrastructure as Code.

The infrastructure is also being prepared for future ISO/IEC 27001 certification, with a strong focus on security, access control, traceability, and operational reliability.
 

Responsibilities :

• Develop reusable OpenTofu or Terraform modules and environment configurations.
• Build and maintain GitHub Actions validation and deployment pipelines.
• Implement a GitOps approach for existing EKS services.
• Build and operate multi-account AWS infrastructure.
• Manage AWS resources including VPC, EKS, ECR, IPAM, IAM Identity Center, KMS, S3 state, Client VPN, and GitHub OIDC.
• Develop a strategy for migrating existing AWS resources into OpenTofu/Terraform state.
• Secure EKS access, including private API connectivity and restricted public CIDRs.
• Maintain encrypted, isolated, and recoverable OpenTofu/Terraform state.
• Implement logging, monitoring, consistent tagging, access reviews, and controlled infrastructure changes.
• Improve the scalability and reliability of EKS services.
• Support disaster recovery and reduce cross-account blast radius.
• Create security and operational documentation and evidence required for ISO 27001 readiness.
• Participate in pull request reviews and ensure infrastructure changes are traceable and approved.

Requirements :

• Strong hands-on experience with AWS architecture and administration.
• Production experience with OpenTofu or Terraform.
• Experience with GitHub Actions and AWS authentication through OIDC.
• Experience implementing GitOps from scratch.
• Strong knowledge of Amazon EKS and Kubernetes.
• Experience with AWS Organizations or another multi-account architecture.
• Strong knowledge of AWS networking, including VPC, routing, endpoints, IPAM, VPN, and private connectivity.
• Strong understanding of AWS IAM, IAM Identity Center, permission boundaries, KMS, and least-privilege design.
• Experience with remote-state security, locking, migration, and recovery.
• Experience with infrastructure security, audit logging, monitoring, and secrets management.
• Experience with Git-based change management and code review.
• Experience preparing cloud infrastructure for
• ISO/IEC 27001 or a comparable security framework
• Ability to translate security requirements into infrastructure controls and documented procedures.
• Ability to produce auditable evidence from Infrastructure as Code, AWS configuration, and CI/CD workflows

Nice to have:

• Data Lake and BI dashboard integration
• Datadog and CloudWatch
• RDS MySQL and ElastiCache
• ECR replication and cross-account access
• SAML federation and AWS Client VPN
• Route 53, ACM, ALB, SES, ECS, and EC2
• Secure integration of AI-assisted engineering tools

How to join:

• Pre-screening with a recruiter
• Expert review of your resume
• English check
• Interview with our experts
• Customer interview

Culture:

At Techstack, we care about how we build products — not only about the result, but also about the quality of the engineering process and the way we work together.

We encourage people to keep learning, share what they know, and take ownership of their work.

Tech Guilds — communities where specialists share knowledge, discuss technical solutions and approaches, and keep up with industry trends.

Meetups and knowledge sharing — opportunities to share your experience with colleagues and the wider tech community.

Mentoring and leadership — opportunities to grow as a mentor, technical lead, or take on other roles where you can support others and share your expertise.

We believe that good products come from people who care about what they build, keep developing their expertise, and are comfortable both challenging ideas and being challenged.
The expected implementation scope is approximately 2-3 months, subject to the outcome of the initial infrastructure assessment.

🚀 Project Description

Facie is an early-stage AI product working with face image analysis.

We are looking for a strong Junior Computer Vision / ML Engineer to build a reliable mechanism for measuring facial geometry from photos.
 

The first challenge is straightforward to describe but non-trivial to solve: given a face photo, accurately measure numerical parameters of different facial features, such as eye dimensions, mouth dimensions, nose geometry, jaw proportions, distances between facial landmarks, and other geometric characteristics.
 

This is a greenfield CV problem.

You will not receive a predefined model or a detailed list of experiments to execute. We expect you to explore several possible approaches, quickly validate them, discard what does not work, and find a solution that is good enough to move into the product.
 

At phase 1 - our engineering philosophy is simple:

20% of effort that delivers 80% of the result is often better than spending weeks searching for theoretical perfection.
 

✅ You are:
 

• Confident with Python
• Understand core Machine Learning concepts
• Have practical experience with Computer Vision OR can demonstrate serious interest in the field
• Can work with existing open-source models and libraries
• Comfortable reading unfamiliar code and quickly running existing projects
• Understand basic model inference and API concepts
• Able to turn an unclear problem into several testable hypotheses
• Comfortable when the first approach does not work
• Able to explain how you would validate whether an experiment actually works
• Focused on finding a practical solution rather than endlessly optimizing one approach
• Comfortable using Git and working with an engineering team

Commercial Computer Vision experience is not required.
 

If your primary background is general ML or software engineering, we would still like to talk if you can demonstrate genuine interest in CV through things such as:

• university or online CV courses
• pet projects
• GitHub projects
• Kaggle
• research or thesis work
• reproduced papers
• personal experiments
   

➕ Will be a plus:
 

• OpenCV
• PyTorch or TensorFlow
• MediaPipe or other face landmark solutions
• Experience with face detection, landmarks or segmentation
• Understanding of 2D / 3D geometry
• Experience reading and implementing research papers
• Docker
• Model serving or inference pipelines
• Experience exposing ML functionality through an API
• Experience designing reproducible ML experiments
• Experience with Cursor, Claude Code, Codex or similar AI development tools
   

♟️ What We Expect from You:
 

• Experiment-first thinking - generate several possible approaches instead of betting everything on the first idea
• 80/20 mindset - optimize for time-to-market and find the simplest solution that provides enough accuracy for the product
• Ownership - do not wait for someone to define every next experiment for you
• Validation mindset - always ask how we know that a result is actually correct, especially when perfect ground truth does not exist
• Fast iteration - prototype, measure, learn, discard weak approaches and move forward
• Engineering judgment - understand when ML is needed and when deterministic geometry or conventional code is a better solution
• AI adoption - actively use modern AI coding tools when they help you iterate faster
• AI skepticism - understand and verify AI-generated code instead of blindly trusting it
• Clear communication - explain what you tried, what failed, what worked and what you recommend trying next
   

🔑 Responsibilities:
 

• Research different approaches for measuring facial geometry from images
• Build quick prototypes and experiments
• Evaluate existing Computer Vision models and open-source solutions
• Compare multiple approaches using measurable criteria
• Design practical validation methods when perfect ground truth is unavailable
• Analyze failure cases and identify why particular approaches fail
• Select solutions based on accuracy, complexity and time-to-market
• Build a reproducible facial geometry measurement pipeline
• Document experiments, conclusions and technical decisions
• Prepare successful solutions so they can be integrated by Software Engineers
• Ideally, help turn successful prototypes into an inference service or API
• Proactively suggest the next experiments instead of waiting for detailed tasks
   

🤖 AI-assisted Engineering
 

We actively use modern AI development tools.

You are welcome to use Cursor, Claude Code, Codex or similar tools to write code, explore libraries, integrate models and accelerate experiments.

We do not care whether every line of code was written manually.

We do care whether you understand:

• what you are testing
• why you selected a particular approach
• whether the result can be trusted
• how you validated it
• what the generated code actually does
• what you would try next if the approach fails
   

🍩 What We Offer:
 

• Part-time or Full-time depending on the candidate
• Remote work
• A real Computer Vision problem with direct impact on the product
• Significant ownership of the CV direction
• Freedom to experiment with different technologies and approaches
• Access to paid AI development tools where needed
• Direct communication with the founder and engineering team
• Opportunity to build a Computer Vision system from the greenfield stage into production
• Opportunity to grow from Strong Junior toward independently owning an ML / CV product area
   

🗣 Recruitment Process:
 

Intro Interview → Live Problem-Solving Session → Small Practical Experiment → Final Interview
 

💻 Live Problem-Solving Session (Optional)
 

This is not LeetCode and not a theoretical ML exam.

You will receive a previously unseen Computer Vision problem and will be asked to think aloud and visualize your approach using a whiteboard, Paint, FigJam or a similar tool.

We want to understand:

• how you decompose an unclear problem
• how many reasonable approaches you can generate
• what you would test first
• how you prioritize experiments
• how you validate results
• what you do when the first few approaches fail
• when you decide that a solution is good enough to ship
   

🧪 Practical Experiment (Optional)

Selected candidates will receive a small Computer Vision experiment.

You can use:

• AI coding tools
• Google
• documentation
• open-source models
• existing libraries
• research papers

We are not testing your ability to code without assistance.
 

We are testing your ability to turn an ambiguous CV problem into a working and validated solution quickly.
 

The expected output is a small working prototype plus a short explanation of:

• approaches considered
• approach selected
• why it was selected
• how the result was validated
• discovered limitations or failure cases
• what you would try next with one additional day

About This Role At Coreblocks, you'll help build a platform designed for One — the individual freelancer, artist, or business owner — rather than viewing users as abstract market segments. In this role, you will take end-to-end ownership of our automated testing architecture across backend microservices and native mobile applications. You'll ensure every financial transaction flows with absolute precision and zero noise. Operating with complete technical autonomy, you'll work directly alongside product and core engineering teams to bake quality into our build pipeline without corporate friction or micromanagement.

What You'll Drive

• Unified Test Automation Architecture: Build, scale, and maintain robust automated test suites across backend systems and mobile platforms (iOS/Android) using TypeScript, Playwright, Appium, or Cucumber.
• API & Data Integrity Engineering: Rigorously validate our API layer, taking direct responsibility for deep functional, contract, and data-integrity testing across REST and low-latency protocol interfaces.
• CI/CD Integration & Continuous Delivery: Embed automated test execution directly into GitHub Actions or GitLab CI pipelines, enabling fast, predictable, and frictionless release cycles.
• Cross-Functional Collaboration: Partner closely with DevOps, product, and backend engineers during architecture reviews and sprint planning to design highly testable systems from day one.
• Defect Ownership & Test Data Management: Identify edge-case defects, refine test data strategies, and build clear quality metrics to maintain high standards across all releases.

• AI-Augmented QA Execution: Apply modern QA practices by leveraging AI tools to accelerate test case generation, test maintenance, and automated run failure analysis.

   

What We Expect

• Automation Engineering Experience: 5+ years of commercial software testing experience with a strong focus on building and scaling automation frameworks.
• TypeScript & Modern Frameworks: Deep proficiency in writing production-grade test code using TypeScript alongside modern testing engines like Playwright or Cucumber.
• Native Mobile Automation: Practical experience building test automation for native iOS and Android applications using Appium or native framework equivalents.
• Rigorous API & Contract Testing: Proven expertise in validating complex REST APIs in data-intensive, precision-critical environments before code reaches production.
• DevOps & Pipeline Mastery: Solid understanding of modern CI/CD practices with hands-on experience integrating regression suites into GitHub Actions or GitLab CI.
• AI Tooling Integration: Active daily use of AI coding assistants and models (e.g., Cursor, Claude) for test design, script generation, root-cause debugging, and maintenance.

• Clear Communication & Ownership: Strong end-to-end task accountability, interest in the underlying product logic, and fluent English communication built on transparency and respect.

   

Bonus Points

• Fintech & Payments Experience: Prior exposure to financial APIs, payment orchestration pipelines, or security and compliance frameworks.
• Multi-Protocol Expertise: Experience testing gRPC or GraphQL layers alongside standard REST APIs.
• Performance & Cloud Literacy: Basic understanding of load/stress testing principles and exposure to cloud infrastructure (AWS, GCP, or Azure).

About this role At Coreblocks, we build solutions that empower independent creators, business owners, and freelancers. We are looking for a hands-on Tech Lead to take charge of our core Data squad — the foundation that powers data operations across the entire organization. In this role, you will define the technical strategy for our data platform, driving the development of read models, real-time CDC workflows, and a high-performance analytical warehouse. Our data infrastructure derives directly from live operational systems. You will operate this squad as a key internal service partner, transforming business requirements from cross-functional teams into resilient, fully auditable data products.

You'll take ownership of:

• Squad Leadership & Delivery: Mentor and scale an agile team of backend and data engineers. As Tech Lead, you take full accountability for end-to-end execution, measuring success by value delivered in production. You will serve as the technical authority across teams while staying actively involved in coding, demonstrating modern AI-driven engineering practices every week.
• Data Platform Engineering: Design and scale robust, high-load data architectures, building real-time ELT/ETL pipelines and high-throughput microservices in Go (ensuring operational systems remain the single source of truth).
• Compliance & Data Governance: Architect secure storage mechanisms and data flows that meet strict multi-jurisdictional regulations, incorporating automated audit trails, retention policies, and strict data segregation.
• Event-Driven Infrastructure: Build scalable streaming architectures and Change Data Capture (CDC) pipelines connecting operational engines to our analytical layers using NATS, PostgreSQL, and ClickHouse.
• AI-Powered Workflows: Embed modern AI tooling (Cursor, Claude) into the squad’s routine, optimizing prompt pipelines, custom rules, and automated workflows to maximize team output.
• Data Quality & Technical Standards: Establish end-to-end data observability and consistency across ClickHouse and PostgreSQL while mentoring engineers in Go and TypeScript best practices.

About you:

• Proven Engineering Leadership: 5+ years of software engineering experience with demonstrated success in leading, mentoring, and setting architectural standards for high-performing technical teams.
• Go Expertise: Exceptional proficiency in writing clean, scalable Go code, with strong knowledge of concurrency, memory management, and system performance tuning.
• Data Streaming & Pipeline Mastery: Hands-on background in constructing CDC pipelines, ELT processes, and handling high-volume event streaming (NATS, Kafka, or similar).
• Database & Regulatory Knowledge: Deep expertise in PostgreSQL and ClickHouse (OLAP), with practical experience resolving data localization, residency, and compliance constraints across global markets.
• Fintech / Regulated Sector Experience: Background in developing data infrastructure within neobanking, fintech, or regulated digital financial platforms.
• AI-First Mindset: Daily use of advanced AI coding assistants (Claude, Cursor) to accelerate architecture design, system configuration, and feature delivery.
• Open & Collaborative Approach: Excellent communication skills, strong team empathy, and a commitment to transparent decision-making.
• Professional English: Fluent written and spoken English (B2+) to articulate technical visions and align global stakeholders effectively.

Nice-to-haves (Bonus Points):

• Kafka Ecosystem: Deep hands-on experience with Kafka, including Kafka Connect customization and complex data transformations.
• Advanced ClickHouse Tuning: Expertise in schema optimization, query acceleration, and scaling large ClickHouse installations.
• Production ML Pipelines: Practical experience streaming machine learning model outputs directly into operational data pipelines.

About this role At Coreblocks, we create tools that support independent creators, entrepreneurs, and freelancers. In this position, you will drive the technical development of our native Android application, creating fast, seamless, and intuitive mobile features that simplify how users manage fiat, digital assets, and investment portfolios. We grant you complete engineering autonomy, valuing high craftsmanship and zero micromanagement, allowing you to design, build, and deploy secure, beautifully styled mobile experiences end-to-end.

You'll take ownership of:

• Native Application Development: Design, implement, and maintain responsive Android features (including transaction history, account overviews, payment processing, and multi-asset dashboards) maintaining full parity with our web platform.
• Secure API Communication: Work closely with backend teams to consume and protect real-time financial streams over RESTful services.
• Client-Side Security: Build and enforce high-standard security patterns, incorporating biometric logins, secure token storage using Android Keystore, certificate pinning, and smooth multi-factor authentication (MFA) flows.
• Design System & UI Execution: Convert Figma designs into pixel-perfect Material Design layouts using Jetpack Compose, delivering simple user journeys for complex financial operations.
• Code Reliability & App Performance: Write solid unit and integration test suites (JUnit, MockK), conduct thorough code reviews, monitor application memory/resource consumption across various Android devices, and fix production issues rapidly.
• Agile Collaboration & Delivery: Contribute actively to sprint planning, offer reliable technical estimates, and align software roadmaps with Product Leadership by understanding the business drivers behind every task.
• AI-Native Engineering: Leverage modern AI assistants (Cursor, Claude, or GitHub Copilot) in your everyday workflow to speed up UI prototyping, code writing, and unit test coverage.

About you:

• Commercial Android Experience: 3+ years of professional experience developing native Android applications, with high proficiency in Kotlin and hands-on familiarity with Kotlin Multiplatform (KMP).
• Modern Android Stack: Thorough understanding of modern architectural patterns (MVVM/MVI, Clean Architecture) and Jetpack components (ViewModel, Coroutines Flow, Navigation).
• Declarative UI & Concurrency: Strong hands-on experience using Jetpack Compose (or extensive background with traditional XML Layouts) alongside Kotlin Coroutines and Flow for managing reactive data streams.
• Mobile Security Practice: Practical knowledge of securing sensitive data in mobile apps, including Keystore integration, code obfuscation (ProGuard/R8), and encrypted local storage.
• Testing & Quality Assurance: Proven track record of writing unit tests (JUnit, Mockito/MockK), exceptional debugging skills, and a strong focus on mobile app performance and crash-free rates.
• Self-Driven Accountability: Ability to manage your own tasks independently, taking full responsibility for features from initial setup to Google Play release without needing constant oversight.
• Open Communication: Professional English skills (spoken and written), strong team spirit, willingness to share knowledge across engineering teams, and a commitment to a respectful working culture.

PSP Specialist

About the Role

We are looking for our partner a PSP Specialist who will support payment provider evaluation, business calculations, technical integrations, and ongoing PSP performance analysis across our casino brands.

The key objective of this role is to determine whether cooperation with a particular PSP makes commercial and operational sense for the business.

You will analyze PSP proposals and their expected economics, considering turnover, fees, conversion and approval rates, settlements, reserves, FX, limits, chargebacks, payout conditions, and other relevant factors.

On the technical side, you will assess integration requirements, review PSP documentation, coordinate with internal technical teams and providers, and support integrations from evaluation through successful launch.

Key Responsibilities

• Evaluate potential PSPs and payment methods from business, financial, operational, and technical perspectives.
• Prepare business calculations to determine whether cooperation with a PSP is commercially viable, considering incoming and outgoing turnover, fees, conversion, reserves, settlements, FX, limits, chargebacks, and payout conditions.
• Compare PSP proposals and provide structured recommendations to support provider selection and integration decisions.
• Review technical documentation and assess integration requirements, payment flows, APIs, webhooks/callbacks, transaction statuses, deposits, withdrawals, and refunds.
• Coordinate PSP integrations with providers and internal Product and Development teams, including testing and go-live support.
• Monitor PSP performance after launch, including turnover, conversion and approval rates, transaction costs, deposit/withdrawal performance, failures, and technical stability.
• Compare actual PSP performance with the initial business case and identify gaps, inefficiencies, and optimization opportunities.
• Prepare payment analysis, conclusions, and recommendations for the management team.

Requirements

• 2+ years of experience with PSPs, payment systems, acquiring, payment operations, payment integrations, or payment analytics.
• Experience in iGaming is highly preferred.
• Practical understanding of online casino deposit and withdrawal flows.
• Experience with fiat payments; understanding of crypto payment flows will be an advantage.
• Good understanding of PSPs, acquiring, payment gateways, APMs, settlements, reserves, chargebacks, refunds, and FX.
• Strong analytical and numerical skills with the ability to build business cases and PSP cost/economics calculations.
• Strong Excel / Google Sheets skills.
• Ability to read and understand PSP technical documentation.
• Understanding of APIs, webhooks/callbacks, transaction statuses, payment flows, and integration principles.
• Experience participating in PSP integrations, testing, or technical onboarding.
• Ability to communicate effectively with technical and business teams.
• English sufficient for communication with international PSPs and working with technical documentation.

What We Offer

• Opportunity to work with two international online casino brands focused primarily on Tier 1  markets.
• Hands-on involvement with both fiat and cryptocurrency payment solutions.
• Direct exposure to PSP evaluation, payment economics, integrations, and performance optimization.
• Opportunity to develop expertise at the intersection of Payments, Business, Finance, Product, and Technology.
• High level of ownership and direct cooperation with the PSP Manager and cross-functional teams.
• International, fast-moving environment focused on data, business results, and practical improvements.

About Company

BetLive operates two online casino brands focused on international markets, with a primary focus on Tier 1 GEOs.

Our products offer a full online casino experience and support both fiat and cryptocurrency payment methods, allowing players across our target markets to deposit and withdraw using a range of relevant payment options.

As our brands continue to grow and expand into new markets, we are strengthening our payments function to ensure reliable payment coverage, strong conversion, efficient payment flows, and commercially sustainable relationships with payment providers.

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.

We are looking for a forward-thinking, driven, and hands-on Global Chief Information Security Officer (CISO) to design, implement, and scale our global information security strategy. As we expand, you will be responsible for building security processes from scratch, ensuring unimpeachable information security compliance across the regulated markets, and leading a distributed remote team.

This is a leadership role that is focused entirely on the global information security posture of the company.

Key Responsibilities:

InfoSecurity Strategy & Governance:

• Define, drive, and execute the global information security roadmap aligned with business goals.
• Assess and define CEX.IO’s current and future requirements in terms of information security.
• Identify capability gaps in the context of regulatory considerations and industry benchmarks
   

Process Management:

• Build, implement, and optimize robust security processes, frameworks, and policies across the entire organization from the ground up.
• Ensure all target teams are provided with the training and resources needed to perform their jobs to the highest degree possible

Compliance, Certifications & Audits:

• Oversee the successful acquisition and maintenance of industry-specific licenses and certifications (e.g., SOC 2, PCI-DSS, DORA, MiCA/crypto regulations). Manage regular internal/external security audits and executive reporting. 
  To achieve this, you will closely collaborate with:
• External auditors and regulators, acting as the primary technical point of contact and subject matter expert during corporate certification processes and regulatory reviews.
• Legal and data protection team to ensure information security policies strictly map to European GDPR compliance, data privacy laws, and corporate governance standards.
• Managing Directors and Officers within the UK, US, and ES locations to bridge global information security frameworks with local regulatory mandates and licensing requirements.
• Engineering and Product teams to embed security directly into the software development lifecycle and product roadmap. You will collaborate on secure coding practices, vulnerability management, and ensuring that product architectures (especially crypto/wallet features) are secure by design before release.

Team Leadership: 

• Lead, mentor, and scale a high-performing, fully remote security team.
• Foster a culture of accountability and proactiveness.
• Lead all managerial functions in accordance with the company’s policies and procedures (hiring, training, setting goals, appraising performance, budgeting)

Risk & Incident Management:

• Act as the ultimate point of escalation for global security incidents, ensuring proactive threat hunting and rapid mitigation.
• Manage the oversight of technical risk assessments, such as vulnerability scanning, penetration testing, risk reviews for new applications, and third-party risk assessments

Requirements (Must-Haves)

• Experience: Proven track record in a senior security leadership role (CISO, Director of Security, or Head of Information Security) within the Financial Services or FinTech sector.
• Direct experience steering organizations through complex information security audits, certifications, licensing, and international regulatory compliance.
• Demonstrated experience in creating, implementing, and managing group-level security processes and frameworks.
• Exceptional leadership skills with a proven ability to manage remote, distributed teams. Strong sense of ownership, proactiveness, and high responsibility.
• Language: Fluent English with excellent communication and reporting skills; Ukrainian or Russian will be an advantage.
• Location: Must be physically located and legally authorized to work remotely within Europe.
   

Preferred (Nice-to-Haves)

• Hands-on experience in the Cryptocurrency, Web3, or Blockchain industry,understanding specific security vectors (custody, cold/hot wallet security).

Adtelligent is a global product IT company in the advertising technology industry. We build solutions that help online media companies, digital advertising agencies, and ad networks monetise their websites and apps more effectively. We’re looking for a motivated Content Writer/Editor (Part-time) to join our team and help us tell our story clearly and compellingly.

REQUIREMENTS:

• Experience as an editor or journalist (international desk preferred)
• Knowledge of trends in international journalism, current affairs, and international relations
• Active interest in world events
• Fluent English; knowledge of other languages is a plus
• Experience working with video and text news agencies is a plus
• Ability to present news clearly, quickly, accurately, and engagingly
• High productivity and stress resilience

RESPONSIBILITIES:

• Monitoring international news feeds
• Searching for interesting, exclusive stories from international sources
• Approving topics with management
• Writing short news pieces
• Making edits as needed

NICE TO HAVE:

• Knowledge of foreign languages other than English
• Ability to create videos that capture social media users’ attention
• Understanding of the basics of storytelling/dramaturgy

WE OFFER:

• Employment type: part-time
• Competitive salary
• Friendly atmosphere and goal-oriented colleagues
• Comfortable working space and rest area
• Paid vacation and sick leaves
• Corporate English classes
• Medical insurance

Dream Play is looking for a Product Owner to help shape strong gaming products, lead them from concept to release, and coordinate cross-functional teams.

We are looking for someone who has a strong understanding of iGaming and slot products, is comfortable working in a fast-paced startup environment, adapts quickly to change, and communicates confidently with the CEO and key stakeholders.

Key Responsibilities:

• Define the product strategy and game roadmap;
• Initiate ideas and directions for new games, define key mechanics and product positioning, and develop concepts in detail together with the Game Designer;
• Create GDDs and define requirements for Math, Art, Animation, and Development teams;
• Work with game mathematics, including RTP, volatility, hit rate, bonus frequency, Max Win, jackpots, and RTP breakdown;
• Prioritize the backlog and define tasks, User Stories, and Acceptance Criteria;
• Coordinate the full production cycle of multiple games simultaneously;
• Collaborate with the Art Director to ensure the visual direction aligns with the overall product vision;
• Plan team resources and optimize the production pipeline;
• Control pre-release/release readiness, manage critical bugs, and participate in Go/No-Go decisions;
• Analyze competitors, market trends, and potential GEOs for new products;
• Maintain regular communication with the CEO and commercial team, including presenting concepts and explaining product decisions, priorities, and risks;
• Work effectively in a startup environment characterized by a fast pace, frequently changing priorities, multitasking, and decision-making under uncertainty;
• Demonstrate a high level of resilience and ownership, with the ability to respond quickly to critical product situations;
• Mentor Game Designers, Math, and Art teams and establish consistent product standards.

About the Project:
Harmonic is a leading provider of innovative broadband solutions that deliver video, voice and data to communications providers around the world. GL team participates in development and QA of several generation of these solutions.

The CableOS department is about developing the new software-based network equipment which provides access to Internet/IPTV/VoIP services with using powerful servers.

It is an innovative solution for Internet Service Providers which will allow to get rid of the existing HW equipment and to migrate to the cloud, saving customers the enormous expenses for the support of huge number of hardware network equipment. Currently there are no competitors to this project in the world and Customer offers the opportunity to be at the beginning of the rapid development of the product and the opportunity to take their place in a fast-paced engineering team

ATE (Automatic Test Equipment) project is about developing a web based system supporting the manufacturing Harmonic's HW products

Harmonic та GlobalLogic - GlobalLogic Ukraine

Requirements:

We are looking for a strong Middle Manual QA Engineer with 3+ years of commercial experience and a strong technical background.

You will work on testing backend services, web applications, REST APIs, and end-to-end scenarios. The role requires strong knowledge of software testing and test design, as well as hands-on experience with Linux, SQL, networking, and API testing.

You will:

• Perform manual testing of backend services, web UI, REST APIs, and end-to-end scenarios
• Analyze requirements and design test coverage
• Create, maintain, and review test cases and test documentation
• Execute functional, integration, regression, exploratory, and end-to-end testing
• Test REST APIs using Postman
• Investigate issues using Linux, SQL, logs, and networking tools
• Report, analyze, and track defects
• Prepare test plans and test reports
• Work closely with developers and Product Owners to clarify requirements and resolve issues
• Identify and communicate quality risks throughout the development process

You should be able to:

• Analyze complex requirements and determine appropriate test coverage
• Independently investigate issues using logs, SQL, Linux, and network analysis
• Clearly document and communicate defects with detailed reproduction steps and technical evidence
• Take ownership of testing activities within your area
• Proactively identify potential quality risks
• Collaborate effectively with developers, Product Owners, and QA engineers in a distributed international teams.
  
  Must Have:
  3+ years of commercial experience in manual software testing
• Strong knowledge of software testing theory and test design techniques
• Experience with requirements analysis and identifying gaps, risks, and required test coverage
• Hands-on experience creating and maintaining test cases, test scenarios, test plans, and defect reports
• Experience with different testing types: functional, integration, regression, exploratory, and end-to-end
• Good knowledge of Linux
• Solid understanding of networking concepts and protocols
• Good knowledge of SQL
• Hands-on experience with REST API testing
• Practical experience with Postman or similar API testing tools
• Understanding of web application architecture
• Experience using browser Developer Tools
• Basic scripting skills in Python or another scripting language
• Experience with Jira, TestRail, or similar test management/defect tracking tools
• Upper-Intermediate English (B2+)

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.

ABOUT THE COMPANY

Our client is a well-funded AI product company building a “second brain” for senior HR leaders and their teams. Its platform combines AI, people analytics, and a professional network used by thousands of C-level executives.

We're looking for a Fullstack Product Engineer who wants to:

• Own features end-to-end, from deeply understanding the customer problem to shipping the feature and driving its usage & adoption.
• Work across the entire stack (React, TypeScript, NestJS, PostgreSQL).
• Ship fast & high quality;you believe speed vs. quality is a false choice, and in fact you can increase both in lockstep.
• Work directly with customers: from hopping on calls, to debugging their problems, and then iterating based on real feedback
• Craft positive-sum engineering practices that increase velocity.
• Become one of the first 3 engineers in the AI & Analytics pod

This is only an in-person role (4-5 days/week) in NYC. The company has a beautiful office in a 1,000+ ft skyscraper in the heart of Hudson Yards, New York.

TECH STACK

• Frontend: React, TypeScript, Vite
• Backend: NestJS, TypeScript
• Data: PostgreSQL, Redis
• Infrastructure: AWS, GitHub Actions
• Observability: Sentry, New Relic
• AI Dev Tools: Cursor, Claude Code (or similar)

Nice to have: SQL proficiency and experience working with data warehouses (the team use Snowflake for analytics).

CANDIDATE CRITERIA

• You have 2-6 years building and shipping product.You've worked on real products with real users. You've felt the pain of production issues and learned from them.
• You're strong across the stack.You can build a React component, write a backend service, and debug a database query. You might be stronger in one area, but you're not helpless in any of them.
• You genuinely enjoy customer interaction. You've been on customer calls before and found them valuable, not painful. You understand that great products come from deeply understanding user problems.
• Strong SQL knowledge is a plus.We build querying engines on top of Snowflake data—if you're comfortable writing and optimizing complex queries, that's a big advantage.
• You're AI-native and AI-augmented.Cursor, Claude Code, AI-assisted reviews—these have fundamentally changed how you work. You're constantly experimenting with new AI tools and have opinions on what's worth adopting. If you're still coding the way you did in 2022, this isn't the right fit.
• You have an owner's mindset. Self-driven, resourceful, ready to build and be in the trenches. You don't need to be managed; you need to be pointed at problems.
• You've worked in high-intensity environments.Startups, high-growth teams, or any context where speed and quality both mattered.
• You're a positive influence on every team you've been on. Low ego, high standards

WHAT YOU'LL DO

• Ship features end-to-end from problem understanding to production, across frontend and backend
• Talk to customers regularly: join calls, gather feedback, and translate their problems into solutions
• Write code that lasts with tests, edge case handling, and clear documentation
• Review code thoughtfully and hold the bar on quality for the team
• Debug production issues and make sure they don't happen again
• Help cultivate engineering culture as one of the founding engineers of this pod

COMPANY OFFER

• Full-time position with a well-funded, fast-growing AI product company
• High-impact role as one of the first three engineers in a newly formed AI product pod
• End-to-end ownership of customer-facing features, from discovery to production and adoption
• Direct collaboration with customers and C-level executives
• Opportunity to shape the product, engineering practices, and team culture from an early stage
• Modern stack
• AI-native engineering environment
• Fast-moving team with high standards, minimal bureaucracy, and strong individual ownership
• In-person work from the company’s office in Hudson Yards, New York City, 4-5 days per week

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).