Jobs at Djinni

As we scale Documents to the web and prepare to launch a brand-new product, we’re entering an exciting new stage of growth. To make this journey successful, we’re looking for a Creative Producer who will be responsible for building and scaling how advertising creatives are produced across the company.

What will you do:

• Own the creative concept stage: generate ideas, angles, and scripts for ad creatives and prepare clear briefs for designers and the team.
• Collaborate closely with PMMs, Paid Social, and Creative specialists to decide what concepts should be produced and tested.
• Ensure creative output meets brand, quality, and performance standards across all channels.
• Turn data, performance insights, and market research into new creative concepts and hypotheses.
• Scale creative production using AI tools, freelancers, and UGC, working within a shared production flow.
• Track creative performance and continuously iterate on concepts and formats to improve CPI, CPM, installs, and conversions.
• Run creative sprints in Jira, align teams on priorities and timelines, and proactively remove blockers to keep delivery moving.

About you:

• At least 2 years of experience in a Creative Producer or similar role.
• Experience with paid social and performance creatives on platforms like Meta, TikTok, and Google, and the ability to turn social trends into effective ad ideas.
• Strong creativity and taste, with the ability to turn ideas into clear, engaging scripts and concepts.
• Confident writing and storytelling across ad formats.
• Excellent project and time management skills. 
• Act with ownership and a proactive mindset. 
• Fluent English for working in an international team and writing clear, natural ad copy. 

What you will get at Readdle:

• Customer-centric culture. We put our users at the heart of everything we do. Every team member has the opportunity to engage directly with customers, gaining insights that shape meaningful, delightful experiences for millions worldwide.
• Relentless growth. We’re committed to mastery in our craft. We take ownership of our work, decisions, and outcomes, and we see feedback as a catalyst for growth. Every challenge is an opportunity to learn, evolve, and raise the bar.
• Exceptional people, exceptional team. Our greatest strength is our people. We care deeply about each other, work transparently, and celebrate collective success. Together, we build an environment where everyone can do their best work and grow beyond their potential.
• Real impact. We design products that truly matter. Our focus is on delivering tangible value, simplifying complexity, pushing boundaries, and continuously improving how we build and deliver solutions to our users.
• Culture of innovation. We embrace curiosity and creativity in everything we do. Fresh ideas are not just welcomed, they’re expected, celebrated, and turned into real innovations that shape the future of our products and company.

About Cyberette
Cyberette is an AI-native cybersecurity company developing forensic-grade technology to detect digital manipulation across video, audio, and images. Our mission is to restore trust in digital communication and protect people, organizations, and institutions from deception in the AI era.

About the Role
We are looking for a Computer Vision Data Scientist with strong initiative and technical excellence to join our core development team. You’ll be responsible for designing, training, and optimizing computer vision models and architectures used in our deepfake detection and forensic analysis platform.

This role requires someone who thrives in fast-paced environments, loves solving complex problems, and brings both creativity and rigor to their work. You’ll collaborate closely with our founders and engineers to push the limits of multimodal AI for real-world impact.

Key Responsibilities

• Develop, train, and deploy computer vision models for image and video manipulation detection.
• Research and experiment with new architectures, model ensembles, and multimodal fusion techniques.
• Preprocess, clean, and manage large-scale datasets for training and evaluation.
• Optimize model accuracy, latency, and scalability for enterprise-grade performance.
• Contribute to the design of the model evaluation framework and internal benchmarking tools.
• Collaborate with other engineers and researchers to integrate models into production pipelines.
• Document methodologies, experiments, and findings clearly and systematically.

Requirements

• MSc/PhD in Computer Science, Machine Learning, Artificial Intelligence, or related field.
• Strong experience in computer vision (CNNs, Transformers, multimodal models).
• Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).
• Solid understanding of ML ops, dataset curation, and model evaluation.
• Proven experience building and training models from scratch.
• Excellent analytical and problem-solving skills.
• Self-driven, disciplined, and collaborative mindset.

What We Value
At Cyberette, we believe technology should serve people. We are a team of builders united by a shared sense of purpose — creating tools that make the digital world safer and more truthful. If you care deeply about impactful innovation and want your work to matter, you’ll feel at home here.

Bonus Skills

• Experience with audio or multimodal analysis.
• Knowledge of adversarial attacks or deepfake generation methods.
• Experience in real-time inference or edge deployment.

Role Overview

Nucleus AI is seeking an AI / ML Data Scientist to help build and scale an AI-backed Learning Management System (LMS) that delivers personalized, adaptive learning experiences.

This is a hands-on, product-focused role at the intersection of machine learning, data science, and learning technology. You will design and deploy intelligent systems that directly impact learner engagement, personalization, assessment, and outcomes.

If you enjoy turning real-world data into models that are used by real users—and iterating on them in production—this role is for you.

Key Responsibilities

Machine Learning & Modeling

• Design, develop, and deploy machine learning models that power:
  • Personalized learning paths
  • Content and course recommendations
  • Learner analytics and insights
  • Adaptive assessments and feedback
     
• Build models for:
  • Learner skill inference and knowledge tracing
  • Engagement, completion, and drop-off prediction
  • Automated assessment scoring and feedback
     

Data & Analytics

• Analyze large-scale learner behavior data to extract actionable insights
• Develop and maintain data pipelines, feature engineering workflows, and model evaluation frameworks
• Apply statistical analysis and experimentation (including A/B testing) to validate model performance and impact
   

Collaboration & Product Integration

• Work closely with product managers, engineers, and instructional designers to translate learning objectives into AI-driven solutions
• Integrate models into production systems via APIs, batch pipelines, or real-time inference
   

LLMs & Advanced Techniques

• Experiment with and integrate LLMs and NLP techniques for:
  • Content generation
  • Learner feedback
  • Intelligent learner support
     
• Monitor models in production for performance, bias, and drift, and continuously improve them
   

Documentation & Governance

• Document models, assumptions, experiments, and results to ensure transparency, reproducibility, and maintainability
   

Required Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, AI/ML, Statistics, or a related field
• Strong proficiency in Python and common ML libraries (e.g., scikit-learn, PyTorch)
• Solid understanding of:
  • Supervised and unsupervised learning
  • Feature engineering and model evaluation
  • Statistical analysis and experimentation
     
• Experience working with both structured and unstructured data
• Proficiency in SQL and working with large datasets
• Ability to clearly communicate complex technical concepts to non-technical stakeholders
   

Nice-to-Have Qualifications

• Experience building ML systems in ed-tech, LMS platforms, or learning analytics
• Familiarity with
  • Large Language Models (LLMs)
  • NLP
  • Recommendation systems
  • Knowledge graphs
• Experience deploying models to production environments
• Exposure to cloud platforms such as AWS, GCP, or Azure
• Understanding of learning science, instructional design, or assessment theory
• Experience with MLOps tools (model versioning, monitoring, CI/CD for ML)
   

What We Offer

• Opportunity to work on mission-driven AI that improves how people learn
• Ownership of ML systems used by real learners at scale
• A collaborative, cross-functional team culture
• Competitive compensation and benefits
• Flexible work location and schedule
• Continuous learning and professional growth opportunities

Description:

We are looking for an experienced and results-driven Media Buyer with a strong background in lead generation. The ideal candidate will have a proven track record of successfully running profitable lead generation campaigns, managing traffic sources, and optimizing paid acquisition channels.

Responsibilities:

• Develop and execute strategic paid media buying plans to generate high-quality leads.
• Optimize social traffic sources, specifically TikTok Ads.
• Manage and monitor daily traffic acquisition budgets, ensuring ROI-positive campaigns.
• Track, analyze, and report on key performance metrics (CPA, ROAS, LTV, conversion rates, etc.).
• Research and test new ad creatives and audience targeting strategies to improve performance.
• Collaborate with creative teams to produce high-performing ad creatives and landing pages.
• Stay up to date with the latest trends in social media advertising, AI-driven media buying, and automation tools.
• Ensure compliance with advertising policies and regulatory requirements of TikTok and Facebook.

Requirements:

• 3+ years of experience in social media media buying and lead generation.
• Strong expertise in TikTok Ads(Facebook Ads will be a plus).
• Proven success in running and optimizing high-budget performance marketing campaigns.
• Strong analytical mindset with experience using Facebook Business Manager, TikTok Ads Manager, BI tools, and attribution models.
• Ability to identify, test, and scale profitable campaigns in different verticals.
• Understanding of compliance and regulations in social media advertising.
• Excellent problem-solving skills and ability to adapt to a fast-paced environment.
• Strong communication and leadership skills.

The client is an innovative global fintech leader behind USDT, the world’s largest and most widely used stablecoin.

We are looking for a Senior Backend Engineer with strong expertise in blockchain and crypto infrastructure to design, build, and scale high-performance backend systems interacting with EVM-based networks. This role focuses on blockchain integrations, transaction processing, distributed systems, and secure financial infrastructure at global scale.

Responsibilities:

• Design, build, and maintain scalable backend services using Node.js (JavaScript/TypeScript)
• Develop and optimize blockchain integrations with EVM-compatible networks
• Implement Web3-based interactions (smart contract calls, transaction signing, event indexing)
• Build secure services for transaction processing, wallet operations, and balance tracking
• Integrate with RPC providers, blockchain nodes, and third-party crypto services
• Design event-driven and distributed architectures for high-load financial systems
• Optimize gas usage, transaction batching, and on-chain/off-chain communication
• Implement monitoring, logging, and alerting for blockchain infrastructure
• Ensure security best practices in key management, signing flows, and API protection
• Write production-grade, well-tested code (unit, integration, load tests)
• Collaborate with product, DevOps, and security teams in a fully remote environment
   

Requirements:

• 7+ years of backend development experience
• Strong proficiency in JavaScript / TypeScript
• Deep experience with Node.js in production environments
• Hands-on experience with Web3 libraries (ethers.js, web3.js, viem, etc.)
• Strong understanding of EVM architecture and smart contracts
• Experience designing scalable distributed systems
• Strong understanding of security best practices in crypto environments

• Hands-on experience with Docker and containerized environments
   

  We are offering:

• Transparent strategy and thoughtful management that keep everyone aligned
• Space for personal growth and career development without limits
• A culture of continuous learning: internal courses, workshops, and English classes twice a week
• Skill up events where we share experience and stay on top of trends
• Competitive perks: flexible schedule, a strong compensation package, support for professional certifications, and generous vacation policy
• Team spirit that thrives through regular events, gatherings, and celebrations
   

Performance ad-tech platform specializing in programmatic resell: we purchase high-quality inventory from SSPs and effectively resell it through DSP buyers in banner and video formats

We are looking for a BDM who already has experience building and scaling

resell operations in programmatic (supply → demand), where profit is generated on

the margin between purchasing from SSP and selling to DSP

Key requirements

- Proven experience specifically in programmatic resell/arbitrage for 2–4 years:

- Purchasing inventory from SSP (PubMatic, Magnite, OpenX, Index, ,

Adform, AppNexus/Xandr, and similar)

- Reselling through DSP (DV360, The Trade Desk, Xandr, Yandex DSP,

MGID, Taboola, programmatic direct, agencies)

- Working in a model without own direct traffic/publishers (pure

resell, supply path management)

In-depth knowledge of focus formats:

- Banner/Display: standard (300×250, 728×90, etc.), rich media,

interstitial, high-viewability

- Video: pre-roll, in-stream, out-stream, rewarded, VAST/VPAID, vertical /short-form video

- Understanding of resell economics: CPM purchase vs CPM sale, margin per impression,win-rate, viewability, completion rate, fraud-rate, latency, supply path optimization

(SPO)

- Negotiation skills: floor prices, private marketplaces / PMP / deals at SSP; tests,scaling, performance guarantees at DSP buyers

- Experience with supply chain transparency: sellers.json, SupplyChain Object,minimizing hops

- Confident outreach to SSP partners and DSP clients (LinkedIn, email,

Telegram, industry events)

- Knowledge of current 2026 verticals: e-commerce, fintech, apps, gaming, education, dating — where banners and videos provide stable volume in the resell model

What will be in your area of responsibility

- Searching for and connecting new SSP partners to purchase high-quality programmatic inventory (banner + video) at favorable rates

- Attracting and developing DSP buyers, agencies, and performance teams who need high-volume, clean traffic without fraud

- Full transaction cycle: testing,analysis (margin, win rate, quality), scaling, analysis (margin, win rate, quality), scaling

- Supply chain management: optimizing delivery routes, monitoring transparency, working with Deal IDs / PMP

- Monitoring trends (vertical video, shoppable banners, brandformance, CTV-like inventory) and adapting offers to demand

- Constant work on margins: negotiations on floors/deals at SSP, packaging inventory for the needs of DSP clients

- Achieving goals for turnover, margins, and long-term partnerships

What we offer

- Fixed salary

Percentage of margin/turnover on resell operations Banner & Video — transparent scheme, no upper limit

- Fully remote format

- Access to real-time dashboards, BI analytics, internal statistics on

supply/demand, fraud, viewability/completion

- Fast payments, performance-oriented billing model

- Freedom in approach to development: focus on results and economics, minimum Business Development Manager | Programmatic Resell (Banner & Video)

- Performance ad-tech platform specializing in programmatic resell: we purchase high-quality inventory from SSP and effectively resell it through DSP buyers in banner and video formats

We are looking for a Mobile QA Automation Engineer to join our team and strengthen our mobile test automation efforts. You will focus on designing, building, and maintaining automated tests for native iOS and Android applications using Appium, WebdriverIO, and JavaScript/TypeScript. Practical experience in coverage of native mobile apps with automated tests is essential.

 Responsibilities

• Design, develop, and maintain mobile test automation using Appium and WebdriverIO.
• Collaborate with developers and QA team to ensure high test coverage and product quality.
• Build and support automation frameworks, standards, and reusable components from scratch.
• Integrate tests into CI/CD pipelines (e.g., GitHub Actions, GitLab CI).
• Analyze test results, report defects clearly, and participate in debugging/release cycles. 
• Contribute to QA best practices, documentation, and continuous improvement.

Requirements

• At least 6 months of experience with Appium for mobile test automation.
• Practical experience writing automated tests in JavaScript/TypeScript with WebdriverIO.
• Demonstrated experience in mobile automation test coverage of native apps (not just scripting).
• Ability to build or extend automation framework from scratch
• English communication at B1 (Intermediate) level or higher.

We Offer

• Collaborative international team.
• Flexible working conditions.
• Legal support.
• Paid sick leaves.
• Paid vacations.
• Medical insurance. 
• Free English classes.

You are our ideal candidate if you:

• Have English proficiency at B2 level or higher;
• Speak Czech fluently or at a native level;
• Have strong communication skills and are willing to learn, grow, and quickly absorb new information;
• Previous experience in customer support or sales will be considered an advantage.

What will you be responsible for?

• Qualification of B2B leads: evaluating potential dealers to ensure they meet requirements and assessing their readiness for cooperation;
• Classifying leads (qualified / unqualified) and recording results in the CRM system;
• Conducting cold outbound calls to attract new dealers;
• Presenting the company’s business model and identifying interest during the first contact;
• Processing inbound leads and converting interest into full registration;

• Supporting dealers throughout the registration process, explaining cooperation terms, and transferring qualified partners to the next stage of the process.

   

What do we offer?

• Paid training;
• Stable and timely income (base salary + performance-based bonus tied to real KPIs);
• Career growth opportunities (development within the project as well as in other structural departments of the company);
• Working schedule: Monday–Friday, 09:00–18:00.

Data Lab Scientist – Computer Vision

About Cyberette

Cyberette is an AI-native cybersecurity company developing forensic-grade technology to

detect digital manipulation in video, audio, and images. Our mission is to restore trust in

digital communication and protect organizations from deception in the AI era.

About the Role

We’re looking for a Data Lab Specialist with a solid background in data operations and

computer vision. You’ll be responsible for building and maintaining high-quality datasets that

fuel our detection models, ensuring accuracy, diversity, and consistency across all data

pipelines.

This role combines hands-on technical work with coordination — ideal for someone who

enjoys both creating structure and collaborating across teams.

Key Responsibilities

• Curate, collect, and annotate large-scale datasets for image and video analysis.

• Collaborate with the AI team to align data preparation with model goals.

• Ensure quality control and consistency across all dataset sources.

• Guide and coordinate junior team members or interns working on data tasks.

• Perform exploratory data analysis and identify dataset gaps or biases.

• Maintain clear documentation and versioning of data pipelines.

Requirements

• BSc/MSc in Computer Vision, Data Science, or related field.

• Proven experience with dataset preparation and management for machine learning.

• Strong understanding of computer vision principles and data labeling workflows.

• Proficiency in Python, Pandas and/or Polars, NumPy, and OpenCV.

• Experience working collaboratively with ML or research teams.

• Highly organized, detail-oriented, and dependable.

What We Value

Cyberette is built by a team of people who care deeply about purpose-driven innovation. We

believe in using AI to protect truth, identity, and digital integrity — and data is the foundation

of that mission.

Bonus Skills

• Familiarity with dataset tools (Label Studio, CVAT, Supervisely).

• Knowledge of multimodal or synthetic data generation.

• Understanding of ethical AI and dataset governance principles

We are the creators of a new fintech era!
Our mission is to revolutionize the world by making blockchain technology accessible to everyone in everyday life. WhiteBIT is a global team of more than 1,200 professionals united by a shared vision of shaping the Web3 future.
 

We are building our own blockchain ecosystem, ensuring maximum transparency and security for over 8 million users worldwide. Our cutting-edge solutions, rapid adaptation to market challenges, and technological excellence set us apart from traditional companies.
Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT, and VISA.

The future of Web3 starts with you — join us as a Liquidity Monitoring Specialist!

Requirements: 

— Higher economic education;
— Systemic thinking and analytical mind;
— Ability to work with tables (excellent knowledge of Excel: formulas, summary tables);
— Willingness to work different shifts (day, evening, night).

Responsibilities:

— Processing and analysis of trading operations;
— Monitoring the state of the market;
— Research and analysis of exchange situations with the help of information and analytical tools;
— Interaction with the technical department.

Will be a plus: 

— Commercial experience and knowledge in the crypto domain. 

Work conditions: 

Immerse yourself in Crypto & Web3:
— Master cutting-edge technologies and become an expert in the most innovative industry.
Work with the Fintech of the Future:
— Develop your skills in digital finance and shape the global market.
Take Your Professionalism to the Next Level:
— Gain unique experience and be part of global transformations.
Drive Innovations:
— Influence the industry and contribute to groundbreaking solutions.
Join a Strong Team:
— Collaborate with top experts worldwide and grow alongside the best.
Work-Life Balance & Well-being:
— Modern equipment.
— Comfortable working conditions, and an inspiring environment to help you thrive.
— 24 calendar days of paid leave.
— Additional days off for national holidays.

With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career!
Let’s Build the Future Together!

🟢We invite a Senior Software Engineer with strong Node.js expertise and solid AWS knowledge to join our team. You'll work with a trusted leader in the Point-of-Sale industry with over 100,000 global installations. In this role, you’ll contribute to our client’s new initiative focused on creating data mapping between diverse menu order systems and integrating two distinct APIs to ensure seamless and accurate data transfer.

🟩 What's in it for you:

• Collaborate on a high-load, technically challenging backend project, expanding your expertise in API integration, data mapping, and data transformation
• Contribute to a global tech platform offering robust solutions for the restaurant and food service industry
• Influence technical best practices and mentor engineers, promoting a culture of quality and continuous improvement

✅ Is that you?

• 4+ years of commercial backend development experience with deep expertise in Node.js and TypeScript in production environments
• 2-3+ years of AWS experience (EC2, ECS, Lambda, SQS/SNS, CloudWatch, etc.)
• Solid experience with MongoDB
• Proven experience designing, building, and maintaining RESTful APIs
• Strong understanding of backend architecture and service design
• Experience writing unit and integration tests
• Experience with CI/CD pipelines and automated deployments
• Strong ownership mindset and ability to work independently, resolve complex issues, and deliver solutions
• Excellent communication and cross-functional collaboration skills
• Upper-Intermediate+ English level

Desirable:

• Experience mentoring or providing technical guidance to engineers
   

🧩Key responsibilities and your contribution

In this role, you’ll contribute to the design, development, and continuous improvement of high-loaded backend systems and services, ensuring technical quality and delivering bullet-proof solutions.

• Design, build, and maintain high-loaded backend systems and APIs using Node.js and AWS
• Develop new backend features and enhancements for production systems
• Support and troubleshoot production systems to ensure reliability and performance
• Identify and reduce technical debt and implement improvements to maintain code quality and reliability
• Write and maintain unit and integration tests to ensure code quality
• Collaborate with cross-functional teams to define requirements and deliver bullet-proof solutions
• Contribute to the continuous improvement of backend architecture and development practices
• Create and maintain clear, organized development documentation

Experience Level: Mid-level or higher

Responsibilities:

• Develop, test, and maintain web-related applications using Golang and PHP (OpenSwoole).
• Rewrite legacy PHP apps to the Golang.
• Collaborate with cross-functional teams to define and design new features.
• Optimize applications for maximum speed and scalability.
• Troubleshoot and debug applications.
• Work with big data, ensuring the performance and reliability of applications.
• Maintain code integrity and organization.
• Document your own code in detail and with high quality.
•  

Requirements:

• Mid-level or higher experience in Golang.
• Mid-level or higher experience in vanilla PHP.
• Strong knowledge of multithreading and memory management.
• Ability to work effectively with relational databases.
• Experience with High-Load projects, Memcached, Redis, ClickHouse and OpenSwoole will be advantageous.
• Strong analytical skills and attention to detail.
• Ability to work with and analyze large datasets.

We invite an experienced and proactive Test Automation Engineer with strong Python and manual testing skills to join our team. In this role, you’ll design and implement robust testing solutions for cutting-edge AI products, focusing on improving RAG flows and testing LLM integrations to ensure reliability, safety, and performance.

🟩 What's in it for you:

• Work hands-on on test automation for AI-powered solutions that have real-world impact
• Grow your expertise in AI safety and RAG/LLM testing
• Collaborate with a team of experienced engineers and QA professionals in a modern, innovation-focused environment

✅ Is that you?

• 3+ years of experience in automation testing
• Strong programming skills in Python
• Practical experience with pytest or similar Python testing frameworks
• Experience developing and maintaining test automation frameworks
• Solid understanding of test design, strategy, and QA best practices
• Hands-on experience with CI/CD pipelines and tools (Jenkins, GitLab CI)
• Understanding of RAG pipelines and testing AI/ML-based systems
• Familiarity with AI safety testing (prompt validation, hallucination checks, response consistency)
• Familiarity with API (REST, HTTP) testing and data validation
• Good knowledge of Git, test reporting, and bug tracking tools
• Strong analytical and problem-solving skills
• Upper-Intermediate English level

Desirable:

• Experience with major cloud platforms (GCP, AWS, Azure)
• Knowledge of containerization tools (Docker, Kubernetes)

🧩Key responsibilities and your contribution

In this role, you'll develop and execute automated tests to ensure the quality and reliability of AI-driven products.

• Design, develop, and maintain automation frameworks and test strategies for AI products
• Evaluate and improve RAG flows, ensuring accuracy and performance
• Test LLM integrations with prompt validation, hallucination checks, and response consistency checks
• Prepare test data and clarify testing requirements as needed
• Create and run automated test suites for APIs, data pipelines, and model integrations
• Integrate automated tests into CI/CD pipelines to maintain quality and stability
• Analyze test results, report defects, and work with teams to resolve issues
• Participate in code reviews, sprint ceremonies, and QA planning sessions
• Maintain clear test documentation and provide regular updates to stakeholders
• Continuously improve testing tools, processes, and automation efficiency

We are looking for an experienced VP of Delivery to own, scale, and stabilize our fintech delivery organization. This role carries full accountability for delivery feasibility, portfolio economics, predictability, and long-term delivery excellence across all client engagements. You will be the final authority on delivery decisions, leading complex portfolios in a regulated fintech environment and representing the company in critical escalations and strategic client discussions.

Details:

Grade: Senior / Lead

Deadline: February 6, 2026

Work Format: Full time B2B Contract 

Location: Remote or office

Location: Candidates located outside Ukraine or with the ability to cross the border

Business Trips: Yes (London, Budapest)

English: Fluent 

Department Structure: 

• 2 Program Managers
• 3+ Project Managers
• Portfolio Managers reporting into the VP of Delivery

Key Responsibilities

• Manage, mentor, and scale the Portfolio & Program Management function (Portfolio Managers, Program Managers, Project Managers). 
• Ensure consistent delivery standards and best practices across engagements.
• Take full responsibility for portfolio P&L: gross margin, utilization strategy, staffing mix, ramp-up curves, and bench cost control.
• Maintain real-time visibility into delivery health: costs, burn rate, scope elasticity, staffing risks, and delivery predictability. Proactively intervene in at-risk projects.
• Act as the ultimate decision-maker for complex, high-risk, or non-standard delivery situations. Lead resolution strategies while protecting contractual, financial, and reputational interests.
• Establish and enforce delivery governance frameworks, risk identification processes, mitigation strategies, and accountability models across the portfolio.
• Prepare and present delivery performance reports, insights, and corrective actions during MBRs and executive-level reviews.

Required Professional Skills

• 5+ years of experience in software delivery within IT outsourcing
• 2+ years in executive delivery roles (Head of Delivery, Director of Delivery, VP of Delivery, or equivalent)
• Proven ownership of multi-project delivery portfolios
• Strong technical competence to:
• Challenge delivery estimates
• Participate in technical discussions
• Validate solution feasibility
• Deep understanding of: SDLC & delivery governance
• Estimation & capacity planning
• Risk & resource management
• Experience building: Accountability frameworks
• Performance standards
• Succession and leadership pipelines
• Strong background in fintech delivery, including: PSPs, KYC/AML
• Card issuing platforms
• Core banking systems
• Compliance-heavy or regulated environments
• English level: C1 or higher

Nice to Have

• Experience scaling delivery organizations across multiple geographies
• Strong financial and margin optimization mindset
• Experience working with enterprise or regulated financial clients

Our company is actively seeking a skilled and motivated React Native Developer who is passionate about coding and eager to grow, to join our team.

Requirements:

- Strong knowledge of native or hybrid mobile development on React Native;
- Knowledge of Vue.js or React development;
- Experience with Mac OS XCode and Android Studio at the level of a confident user;
- Experience with web technologies such as REST API, WebSockets and JSON.
- NestJS;
- PostgreSQL or MongoDB;
- ExpressJS will be a plus.

It will be a big plus:

- Experience in creating applications from scratch and publishing them in the App Store, understanding the principles of moderation;
- Equipment availability on MacOS;
- Knowledge of AWS, Clouds, GrapghQL, Prisma

Key responsibilities:

- Work on creating new and interesting mobile applications;
- Further support in improving the created projects;
- Test and implement new features in projects;
- Work closely with the Development Team (testers, designers, PMs, developers).

Benefits are discussed individually