Jobs

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the client:
Our client is an IT company that develops technological solutions and products to help companies reach their full potential and meet the needs of their users. The team comprises over 600 specialists in IT and Digital, with solid expertise in various technology stacks necessary for creating complex solutions.

About the role:
We are looking for an MLOps Engineer specializing in Large Language Model (LLM) infrastructure to design and maintain the robust platform on which the AI models are developed, deployed, and monitored. As an MLOps Engineer, you will build the backbone of the machine learning operations – from scalable training pipelines to
Reliable deployment systems – ensuring that the NLP models (including LLMs) can be trained on large datasets and served to end-users efficiently.

This role sits at the intersection of software engineering, DevOps, and machine learning, and is crucial for accelerating the R&D in the Ukrainian LLM project. You’ll work closely with data scientists and software engineers to implement best-in-class infrastructure and workflows for the continuous delivery of AI innovations.

Requirements:
Experience & Background:
- 4+ years of experience in DevOps, MLOps, or ML Infrastructure roles.
- Strong foundation in software engineering and DevOps principles as they apply to machine learning.
- A Bachelor’s or Master’s in Computer Science, Engineering, or a related field is preferred.
Cloud & Infrastructure:
- Extensive experience with cloud platforms (AWS, GCP, or Azure) and designing cloud-native applications for ML.
- Comfortable using cloud services for compute (EC2, GCP Compute, Azure VMs), storage (S3, Cloud Storage), container registry, and serverless components where appropriate.
- Experience managing infrastructure with Infrastructure-as-Code tools like Terraform or CloudFormation.
Containerization & Orchestration:
- Proficiency in container technologies (Docker) and orchestration with Kubernetes.
- Ability to deploy, scale, and manage complex applications on Kubernetes clusters; experience with tools like Helm for Kubernetes package management.
- Knowledge of container security and networking basics in distributed systems.
CI/CD & Automation:
- Strong experience implementing CI/CD pipelines for ML projects.
- Familiar with tools like Jenkins, GitLab CI, or GitHub Actions for automating testing and deployment of ML code and models.
- Experience with specialized ML CI/CD (e.g., TensorFlow Extended TFX, MLflow for model deployment) and GitOps workflows (Argo CD) is a plus.
Programming & Scripting:
- Strong coding skills in Python, with experience in writing pipelines or automation scripts related to ML tasks.
- Familiarity with shell scripting and one or more general-purpose languages (Go, Java, or C++) for infrastructure tooling.
- Ability to debug and optimize code for performance (both in data pipelines and model inference code).
ML Pipeline Knowledge:
- Solid understanding of the machine learning lifecycle and tools.
- Experience building or maintaining ML pipelines, possibly using frameworks like Kubeflow, Airflow, or custom solutions.
- Knowledge of model serving frameworks (TensorFlow Serving, TorchServe, NVIDIA Triton, or custom Flask/FastAPI servers for ML).
Monitoring & Reliability:
- Experience setting up monitoring for applications and models (using Prometheus, Grafana, CloudWatch, or similar) and implementing alerting for anomalies.
- Understanding of model performance metrics and how to track them in production (e.g., accuracy on a validation stream, response latency).
- Familiarity with concepts of A/B testing or canary deployments for model updates in production.
Security & Compliance:
- Basic understanding of security best practices in ML deployments, including data encryption, access control, and dealing with sensitive data in compliance with regulations.
- Experience implementing authentication/authorization for model endpoints and ensuring infrastructure complies with organizational security policies.
Team Collaboration:
- Excellent collaboration skills to work with cross-functional teams.
- Experience interacting with data scientists to translate model requirements into scalable infrastructure.
- Strong documentation habits for outlining system designs, runbooks for operations, and lessons learned.

Nice to have:
LLM/AI Domain Experience:
- Previous experience deploying or fine-tuning large language models or other large-scale deep learning models in production.
- Knowledge of specialized optimizations for LLMs (such as model parallelism, quantization techniques like 8-bit or 4-bit quantization, and use of libraries like DeepSpeed or Hugging Face Accelerate for efficient training) will be highly regarded.
Distributed Computing:
- Experience with distributed computing frameworks such as Ray for scaling up model training across multiple nodes.
- Familiarity with big data processing (Spark, Hadoop) and streaming data (Kafka, Flink) to support feeding data into ML systems in real time.
Data Engineering Tools:
- Some experience with data pipelines and ETL.
- Knowledge of tools like Apache Airflow, Kafka, or dbt, and how they integrate into ML pipelines.
- Understanding of data warehousing concepts (Snowflake, BigQuery) and how processed data is used for model training.
Versioning & Experiment Tracking:
- Experience with ML experiment tracking and model registry tools (e.g., MLflow, Weights & Biases, DVC).
- Ensuring that every model version and experiment is logged and reproducible for auditing and improvement cycles.
Vector Databases & Retrieval:
- Familiarity with vector databases (Pinecone, Weaviate, FAISS) and retrieval systems used in conjunction with LLMs for augmented generation is a plus.
High-Performance Computing:
- Exposure to HPC environments or on-prem GPU clusters for training large models.
- Understanding of how to maximize GPU utilization, manage job scheduling (with tools like Slurm or Kubernetes operators for ML), and profile model performance to remove bottlenecks.
Continuous Learning:
- Up-to-date with the latest developments in MLOps and LLMOps (Large Model Ops).
- Active interest in new tools or frameworks in the MLOps ecosystem (e.g., model optimization libraries, new orchestration tools) and a drive to evaluate and introduce them to improve the processes.

Responsibilities:
- Design and implement modern, scalable ML infrastructure (cloud-native or on-premises) to support both experimentation and production deployment of NLP/LLM models. This includes setting up systems for distributed model training (leveraging GPUs or TPUs across multiple nodes) and high-throughput model serving (APIs, microservices).
- Develop end-to-end pipelines for model training, validation, and deployment.
- Automate the ML workflow from data ingestion and feature processing to model training and evaluation, using technologies like Docker and CI/CD pipelines to ensure reproducibility and reliability.
- Collaborate with Data Scientists and ML Engineers to design MLOps solutions that meet model performance and latency requirements.
- Architect deployment patterns (batch, real-time, streaming inference) appropriate for various use-cases (e.g., a real-time chatbot vs. offline analysis).
- Implement and uphold best practices in MLOps, including automated testing of ML code, continuous integration/continuous deployment for model updates, and rigorous version control for code, data, and model artifacts.
- Ensure every model and dataset is properly versioned and reproducible.
- Set up monitoring and alerting for deployed models and data pipelines.
- Use tools to track model performance (latency, throughput) and accuracy drift in production.
- Implement logging and observability frameworks to quickly detect anomalies or degradations in model outputs.
- Manage and optimize our Kubernetes-based deployment environments. Containerize ML services and use orchestration (Kubernetes, Docker Swarm, or similar) to scale model serving infrastructure.
- Handle cluster provisioning, health, and upgrades, possibly using Helm charts for managing LLM services.
- Maintain infrastructure-as-code (e.g., Terraform, Ansible) for provisioning cloud resources and ML infrastructure, enabling reproducible and auditable changes to the environment.
- Ensure the infrastructure is scalable, cost-effective, and secure.
- Perform code reviews and guide other engineers (both MLOps and ML developers) on building efficient and maintainable pipelines.
- Troubleshoot issues across the ML lifecycle, from data processing bottlenecks to model deployment failures, and continuously improve system robustness.

The company offers:
- Competitive salary.
- Equity options in a fast-growing AI company.
- Remote-friendly work culture.
- Opportunity to shape a product at the intersection of AI and human productivity.
- Work with a passionate, senior team building cutting-edge tech for real-world business use.

EvoPlay is the largest ecosystem of product-driven projects offering comprehensive solutions for the online gaming industry. We collaborate with highly competitive markets around the world and are constantly seeking new opportunities for the integration and promotion of our products. We are currently expanding our team and are looking for a Senior AML Lawyer.

Requirements:

— Minimum 3 years of experience in AML/Compliance roles with full-cycle responsibility for AML processes;

— Strong knowledge of applicable AML/CFT regulatory frameworks and industry best practices across relevant jurisdictions;

— Demonstrated ability to draft AML policies, perform risk assessments, and maintain compliance documentation;

— Hands-on experience in executing and overseeing CDD/EDD procedures, sanctions screening, PEP/adverse media checks, and transaction monitoring;

— Mandatory experience working with KYC/AML platforms (e.g., Sumsub, iDenfy, Comply Advantage, Ondato, or similar);

— Excellent English communication skills (written and verbal), with the ability to prepare formal compliance documentation and liaise with external stakeholders;

— ICA, ACAMS, or equivalent AML certification is considered a strong asset;

— Analytical mindset, high attention to detail, and the ability to work independently in a dynamic environment.
Key Responsibilities:

— Develop and maintain AML/CFT policies, procedures, and internal documentation in accordance with applicable legislation and regulatory requirements;

— Conduct company-wide AML Risk Assessments and prepare comprehensive documentation in line with jurisdictional expectations;

— Design, implement, and oversee Customer Due Diligence (CDD) and Enhanced Due Diligence (EDD) procedures;

— Perform and supervise CDD/EDD processes, including sanctions screening, PEP identification, adverse media checks, and transaction monitoring;

— Adjust and optimize the company’s risk-based approach to align with internal business needs and external compliance obligations;

— Prepare AML/CFT documentation required for various license applications (e.g., financial services, crypto, igaming, etc.);

— Respond to requests and inquiries from regulatory authorities, financial institutions, and banking partners;

— Organize and deliver AML/CFT training sessions to internal teams and ensure ongoing staff awareness;

— Operate and manage KYC/AML software solutions, ensuring proper configuration and legal compliance;

— Stay current with changes in AML/CFT regulations and ensure timely updates to internal policies and procedures;

— Collaborate with legal, compliance, and operational teams to maintain a strong compliance culture across the organization.

We are looking for a skilled Senior Python (PyQt) Developer to join a healthtech startup team building next-generation AI-powered solutions for healthcare. The product helps clinicians work smarter with real-time data visualization, medical imaging, and AI-driven decision support—all designed to improve patient outcomes.

Requirements:

• 5+ years of professional experience with Python
• 3+ years of experience developing production-grade applications with PyQt or PySide
• Strong understanding of desktop UI/UX patterns (MVVM/MVC, multithreading, responsive UI)
• Experience packaging and deploying desktop apps (PyInstaller, MSIX, AppImage, etc.)
• Knowledge of security best practices (TLS, encryption at rest, RBAC)
• Intermediate English level or higher

Will be a plus:

• Background in AI/ML integration for imaging or clinical workflows
• Experience with healthcare data standards (DICOM, HL7, FHIR) or libraries (pydicom, VTK, SimpleITK)
• Familiarity with HIPAA/GDPR compliance and medical device software standards (IEC 62304)
• Hands-on knowledge of C++ for performance-critical components
• Previous experience in healthtech or other regulated industries

Responsibilities:

• Design and develop desktop applications in Python + PyQt (PySide6)
• Build UI components for clinical workflows (data entry, dashboards, medical image viewers)
• Integrate with healthcare data standards and APIs (DICOM, FHIR, HL7, DICOMweb)
• Collaborate with AI engineers to embed decision support and data visualization tools
• Ensure product compliance with security and privacy requirements (HIPAA, GDPR)
• Optimize application performance for large imaging datasets
• Contribute to coding standards, CI/CD, and testing for production-grade releases
• Work closely with product, backend, and data teams in a cross-functional setup

Product

Healthcare professionals often struggle with fragmented systems, slow workflows, and limited visibility into patient data. Our AI-powered platform provides real-time clinical data visualization, medical imaging, and automated decision support to improve efficiency and accuracy in care delivery.

The startup is backed by leading healthtech investors and driven by a team of experienced engineers, clinicians, and AI specialists passionate about transforming the future of healthcare.

Work Schedule:

• Full-time, flexible hours
• Work from anywhere (fully remote or in our offices in Ukraine/Poland)

Interview stages:

1. Call with the Recruiter
2. Interview with Tech Lead + Recruiter
3. Client interview

Project Overview:
We are building a new CRM system in Dynamics 365 to manage bookings and customer relationships with both instructors and candidates for our client’s training courses.
As part of this initiative, we are launching a data migration project to ensure all required data is moved and ready ahead of go live.

Role Description:
We are looking for an experienced specialist) to join the project team. The consultant will work closely with the CRM build team and the customer’s technical team to design, implement, and deliver data migration pipelines to and from Microsoft Dataverse.

Responsibilities:

• Design and implement ETL pipelines using Azure Data Factory.
• Migrate data to/from Microsoft Dataverse in alignment with the migration strategy.
• Collaborate with CRM developers and customer technical teams to ensure data consistency and quality.
• Support testing, validation, and troubleshooting during the migration phases.
• Provide documentation and knowledge transfer as required.

Requirements:

• Strong hands-on experience with Azure Data Factory for ETL / data migration.
• Proven track record of delivering data migration projects, ideally involving Microsoft Dataverse.
• Solid understanding of ETL concepts, data mapping, and data quality assurance.
• Excellent problem-solving skills and ability to work collaboratively in a project team.
• Good verbal and written English communication skills are essential.

About Fintech Farm

We are a UK fintech creating successful neobanks in emerging markets in partnerships with local traditional banks.

Our success builds upon a best-in-class product, customer experience, emotional engagement, viral marketing and deep credit decisioning expertise.

One of our founders had previously co-founded a highly successful Eastern European neobank with a multi-million customer base.

We launched our first market with Leobank in Azerbaijan in 2021, where we have already established market-leading positions. Our next market was Vietnam, where we launched Liobank in early 2023 and also gained solid traction.

We have a few more new markets in the pipeline for the next 12 months, and we are starting to build the team there.

Why Fintech Farm is a great place to be

Our ambition. We are looking to become a leading consumer digital bank brand in each market we operate making it easy for consumers to interact with their money. You could be a part of this exciting journey.

Role Overview:

The Software Engineer will be responsible for developing, maintaining, and optimizing a financial platform based on a microservices architecture. This role demands expertise in backend development, system architecture, and a strong understanding of workflows in the financial domain, including the use of MongoDB and Kafka.

Required Technical Skills:

1. Programming Languages:
    
   • Proficiency in Go (Golang).
   • Familiarity with scripting languages like Shell scripting and experience working with JSON.
2. Microservices Architecture:
    
   • Expertise in designing and implementing scalable microservices.
   • Hands-on experience with containerization and orchestration tools, such as Docker and Kubernetes.
   • Strong knowledge of Kafka, including producer/consumer patterns, message partitioning, and offset management.
3. API Development:
    
   • Proven experience in building RESTful APIs and using Swagger/OpenAPI specifications for API documentation.
   • Ability to implement robust authentication and authorization mechanisms.
4. Data Management:
    
   • Strong experience with MongoDB, including schema design, query optimization, and indexing strategies.
   • Familiarity with both relational and non-relational databases.
   • Experience in database optimization and efficient query design.
5. Testing and CI/CD:
    
   • Proficiency in writing unit and integration tests to ensure high-quality code.
   • Familiarity with CI/CD pipelines and tools like Jenkins, GitHub Actions, or GitLab CI.
6. Domain Expertise:
    
   • Understanding of financial operations, including transaction processing, ledger management, and payment gateways.
   • Knowledge of workflows such as credit limit management and penalty processing.
7. DevOps and System Administration:
    
   • Experience with Docker, Docker Compose, and infrastructure-as-code tools.
   • Knowledge of monitoring tools like Grafana.

Soft Skills:

• Strong problem-solving and debugging abilities.
• Effective collaboration with cross-functional teams, including QA, DevOps, and product management.
• Excellent communication skills to articulate technical decisions and designs.

Key Responsibilities:

1. Develop and maintain microservices supporting the financial platform’s core functionalities.
2. Design and implement solutions leveraging MongoDB and Kafka to handle high-volume, real-time data processing.
3. Contribute to testing strategies, ensuring comprehensive test coverage for business-critical processes.
4. Optimize the existing codebase for performance, scalability, and reliability.
5. Document APIs and ensure compliance with industry standards.
6. Troubleshoot and resolve production issues promptly.
7. Implement and maintain CI/CD pipelines for seamless deployment processes.

Preferred Qualifications:

• Experience in fintech or the financial services industry.
• Deep understanding of MongoDB replication, sharding, and aggregation framework.
• Advanced knowledge of Kafka, including cluster management and stream processing.
• Hands-on experience with Go-specific frameworks and libraries.

We are looking for a Full Stack Engineer (Python and React) for a 3-month contract with potential prolongation to lead a project focused on building a portal that simplifies the Medicaid application process. The platform will support multiple types of Medicaid applications, enabling both individual applicants and organizations (such as lawyers, nursing homes, etc.) to apply on behalf of others. By moving the process online, the system will significantly reduce government response times from 45 days to just 24 hours.

This role requires at least 4 hours of overlap with EST working hours (9 AM — 5 PM EST).

Due to the specific terms of the customer’s contract, we prefer candidates based outside of Ukraine. We appreciate your understanding and look forward to receiving applications from a broad range of locations.

You will join a large-scale initiative aimed at transforming the U.S. federal financial programs application process. The project’s mission is to build a suite of enterprise-level applications that will reduce government response times from 45 days to 24 hours and provide a seamless digital experience for both individual applicants and organizations.

Responsibilities

• Lead the development of backend services using Python + FastAPI (approx. 60% focus).
• Build responsive frontend components in React (JavaScript/TypeScript) (40% focus).
• Architect scalable, secure, and maintainable solutions across three products.
• Design and optimize schemas in PostgreSQL and DynamoDB.
• Develop a migration strategy and execute the transition from QuickBase.
• Integrate AI and OCR services for document processing and automation.
• Ensure best practices: clean, well-tested, and documented code.
• Mentor engineers, conduct code reviews, and contribute to process improvements.
• Collaborate closely with UI/UX, product owner, and stakeholders to translate business needs into technical solutions.

Requirements

• 5+ years of professional software development experience.
• Strong expertise in Python (FastAPI, Django, or Flask).
• Experience in frontend development with React, TypeScript/JavaScript, HTML5, CSS3.
• Proven background in building and maintaining RESTful APIs.
• Strong SQL skills and experience with PostgreSQL.
• Hands-on with NoSQL databases (MongoDB, DynamoDB, etc.).
• Practical experience with AWS (S3, etc.) and cloud deployments.
• Experience in system design from scratch and complex migrations.
• Familiarity with agile practices, Git, and JIRA.
• English — B2+ (effective communication in international teams).

Nice to Have

• Experience in HealthTech or FinTech domains.
• Knowledge of AI/ML integrations (OCR, data extraction).
• Experience with Terraform or other IaC tools.
• Background in writing unit/API tests and automation.

We are looking for a motivated and experienced Senior Back-End Engineer (Go, Kubernetes Operators) with deep expertise in cloud infrastructure, networking, and security, alongside a strong software development background, to enhance, develop, and elevate our infrastructure and surrounding utilities.

Innovecs is a global digital services company with a presence in the US, the UK, the EU, Israel, Australia, and Ukraine. Specializing in software solutions, the Innovecs team has experience in Supply Chain, Healthtech, Collaboration Tech, and Gaming.

For the fifth year in a row, Innovecs is included in the Inc. 5000, the list of fastest-growing private companies in the US, and a ranking of the best global outsourcing service providers by IAOP. Recently, Innovecs was honored with the prestigious Global Good Awards for the Employee Engagement & Wellbeing, won gold at the Employer Brand Management Awards, and was included in the Global Top 100 Inspiring Workplaces Ranking.

ABOUT THE CLIENT:

Our client develops technology that optimizes data storage on enterprises and cloud and enables more efficient storage and faster transfer of AI applications, machine learning, financial and medical analysis.

Our value to you:

• Flexible hours and remote-first mode
• Competitive compensation
• Complete Hardware/Software setup – anything you need for work
• Open-door culture, transparent communication, and top management at a handshake distance
• Health insurance, vacation, sick leaves, holidays, paid maternity/paternity leave
• Access to our learning & development center: workshops, webinars, training platform, and edutainment events
• Virtual team buildings and social activities to celebrate the Innovecs lifestyle

We need YOU to help us grow. Are you ready for this challenge?

Requirements:

• 5+ years of hands-on experience in Go development: Proven expertise in building scalable and maintainable backend solutions.
• Extensive knowledge and experience with Kubernetes Operators.
• Proficiency in Linux environments: Familiarity with Linux-based systems, scripting, and system-level troubleshooting.
• Networking and security knowledge: Experience with setting up secure networking solutions and managing cloud security configurations.
• Cloud infrastructure expertise: Hands-on experience designing and managing resources on major cloud platforms (AWS, GCP, Azure, Oracle).

• Strong communication skills: Fluency in English and ability to effectively collaborate in a distributed team environment.

   

Responsibilities:

• Develop k8s operator for product deployment in k8s.
• Develop a CSI plugin to serve product storage to k8s applications.
• Design, develop, and maintain scalable solutions for deploying product on leading cloud platforms, including AWS, GCP, Azure, and Oracle Cloud.
• Build and enhance cloud APIs for seamless integration with the product software stack.
• Collaborate with cross-functional teams to align k8s and cloud capabilities with product requirements and customer needs.
• Monitor, optimize, and secure cloud and k8s environments to ensure reliability, scalability, and performance.

Description

Our customer is a global leader in digital media and entertainment services across film, video and online content from capture to consumption.

Since 1915, our customer has been the trusted partner for the world’s most successful Hollywood studios, independent film companies, TV networks, exhibitors, advertisers and others, offering best-in-class solutions in production, post production, distribution, asset and workflow management and new digital solution-based technologies.

We currently have a need for a React Developer. This position is ideal for individuals who have the drive and desire to ‘make things’. It requires a highly motivated individual with attention to details and a hunger to learn and solve problems.

Shifted working hours – Readiness to work till 10-11PM Kyiv time

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or a related field
• 5+ years of experience in software development using Javascript and ReactJS
• Hands-on experience with AWS services
• Hands on experience with consuming REST APIs
• Expert in Front End Security prevention such as JWT, SQL Injection, XSS, etc
• Experience working with Docker and containerization practices
• Strong problem-solving and analytical skills
• Excellent communication and collaboration abilities
• Commitment to writing clean, maintainable, and well-documented code
• Experience with microservices and building highly scalable applications is a plus

Responsibilities

• Design, develop, and maintain software applications using ReactJS ecosystem and Javascript
• Collaborate with cross-functional teams to gather requirements, understand business needs, and translate them into technical solutions
• Implement and integrate best in class front end solutions for video/audio playback, websockets, state management, security, responsive design, and more
• Leverage AWS primitives to build scalable and reliable applications
• Containerize applications using Docker for consistent deployment across environments
• Write clean, maintainable, and well-documented code following best practices and coding standards
• Participate in code reviews and ensure adherence to quality standards
• Troubleshoot and resolve technical issues, bugs, and performance bottlenecks
• Stay up to date with the latest trends, technologies, and industry best practices

Company Description

Would you like to join an experienced team and work with a world-known Customer?  
We have a fantastic opportunity for an experienced and skilled Senior AI/ML Engineer to participate in the development of a rapidly growing project. 
Feel challenged? Then we would like to hear from you!   

CUSTOMER

Our client is a leading global company with years of experience in innovative technologies. By bridging the real and digital worlds with top solutions, they enable the transformation of everyday life for billions of people. Their portfolio of products, services, and solutions is focused on clinical decision-making and treatment pathways. 

PROJECT

The project’s mission is to enable healthcare providers to increase their value by providing them with innovative technology and services in diagnostic and therapeutic imaging, laboratory diagnostics, molecular medicine, digital health, and enterprise services. 

Job Description

• Build AI agents and orchestration flows using Python to automate complex workflows 
• Facilitate migration of internal tools to an AI-driven solution with a focus on multi-step, context-aware processes 
• Implement complex AI workflows utilizing LangChain systems to connect LLMs with internal data 
• Develop tools to automate the creation and validation of internal specification files 

• Move into a broader data role, contributing to data pipelines and modeling post-migration 

   

Qualifications

• At least 5 years of commercial experience in ML, AI or/and Big Data 
•  Solid understanding of distributed data processing concepts and core data engineering principles (ETL/ELT, data modeling) 
• Proven ability to build production-grade applications using Python and large language models (LLMs) 
• Experience designing AI agents and orchestration flows (e.g., using LangChain, LlamaIndex, etc.) 
• Experience implementing function calling, context management, and RAG patterns 
• Demonstrated skill in crafting and optimizing prompts for complex, multi-step tasks 

• At least an Upper-Intermediate level of English   

   

Additional Information

PERSONAL PROFILE

• Excellent communication and interpersonal skills with the ability to collaborate effectively with cross-functional teams and stakeholders  
• Strong problem-solving and decision-making skills with a focus on driving results and meeting deadlines  
• Self-motivated, adaptable, and eager to learn new technologies and frameworks  

• Project Description:

  We are looking for an experienced Senior Android Developer to join a long-term project with a client in Saudi Arabia. The role involves building and enhancing mobile applications with a focus on performance, scalability, and user experience. You will collaborate closely with the client's team, working in an international environment with direct communication and ownership of features.

   

• Responsibilities:

  Build modern web apps with vue js and typescript
  • Push code to production via CI/CD with confidence
  • Keep apps solid with unit tests (but no overkill)
  • Collaborate tight with product & backend in Agile cycles
  • Drive improvements, mentor others, and lead by example
  • Collaborate tight with product & backend in Agile cycles
  • Drive improvements, mentor others, and lead by example

   

   

• Mandatory Skills Description:
  • 5+ years web experience, strong in Vue js, Html.
  • Experience with CI/CD in real-world setups
  • Solid grasp of testing, performance, and scalability
  • Startup DNA: hands-on, fast delivery, no drama
  • Bonus: fintech or brokerage app background
  • Strong debugging, problem-solving, and performance optimization skills.
  • Excellent communication skills, proactive and independent working style.

• Nice-to-Have Skills Description:

  Bonus: fintech or brokerage app background
  Exposure to Agile/Scrum methodology.

   

• Languages:
  • English: C1 Advanced

Design Team Lead (Production)
We’re looking for a Design Team Lead who can combine hands-on creativity with leadership. 
Your role will be to organize and scale the production of design assets, build smooth processes, mentor the team, and deliver high-quality creatives that perform in a fast-paced environment. 

🔥 What You’ll Get:
- Leadership role - the opportunity to build and lead a design production team. 
- Impact - your management will directly influence the efficiency and output of creative production. 

- Processes & automation -  freedom to improve workflows, implement tools (including AI), and optimize production speed. 

- Collaboration - work closely with producers, analysts, and other teams to deliver effective results. 

📌 What You’ll Do: 
- Lead and manage the design production team (motion & static). 
- Set priorities, delegate tasks, and ensure timely delivery of creatives. - Build and optimize production pipelines to handle a high volume of assets. 
- Provide feedback, run reviews, and support the professional growth of designers. 
- Ensure high quality and consistency of deliverables across platforms and formats. 
- Collaborate with producers and stakeholders on briefs, planning, and performance analysis. 
- Create key creatives yourself - especially for complex or high-priority projects. 
- Research trends, tools, and approaches to keep the team at the cutting edge. 

✅ We’re Looking for Someone Who: 
- Has 3+ years of experience in design or motion production, ideally in digital advertising. 
- Has at least 1–2 years of team leadership experience (mentoring, managing processes, delegating). 
- Can show a portfolio of high-quality creatives across different formats. 

- Is confident in design and motion tools (After Effects, Photoshop, Illustrator, Figma, etc.). 

- Understands workflows of high-volume creative production and how to scale them. 

- Has experience with automation/AI tools (a big plus). 

- Has strong communication, organizational, and leadership skills.
- English B2 for communication, research, and collaboration.

Join YouScan, a leading Ukrainian SaaS company, as our next full-stack developer!

We’re building a completely new product and looking for someone who’ll play a key role in bringing it to life. 

We’re after a proactive software developer with a strong product mindset and a bit of entrepreneurial spirit. Not just a person who writes code — we want you to be curious about how users experience the product, comfortable making technical and architectural decisions, and excited about crafting sleek, modern UIs.

You’ll work directly with the company’s founder and an amazing team to launch a new exciting product!

Responsibilities:

• Build and ship new features as part of a completely new product from the ground up.
• Take ownership of your work — from UI to architecture to implementation and deployment.
• Collaborate with designer, product manager, and other developers to turn ideas into a smooth user experience.
• Contribute to technical decisions and help shape the product’s overall architecture.
• Review code, share feedback, and learn from teammates to keep quality high.
• Keep an eye on performance, scalability, and maintainability as the product grows.

What we’re looking for:

You’re more than just a developer — you care about the product as a whole. You’re curious about how people use what you build, and you’re not afraid to suggest improvements that make the experience better. You’re comfortable making decisions, asking questions, and taking initiative. You’ll take the time to understand the market and the problem we solve for the users.

Must-haves:

• Curiosity about UX and product design — not just how it works, but how it feels to users.
• Independence and ownership: you don’t wait around for instructions.
• Comfort with making architectural decisions and trade-offs.
• A collaborative mindset: you value teamwork, feedback, and knowledge sharing.
• Proactive, self-starter approach.
• Based in Kyiv (preferred).

Additional requirements:

• Experience working in product-focused teams (especially SaaS).
• Ability to balance speed of delivery with long-term quality.
• Entrepreneurial spirit — willing to experiment, learn, and adapt.
• 4+ years of full-stack development experience: TypeScript, React, Node.js, Microservices, Databases

Perks:

• Flexible work options with some in-office days.
• Four-day workweek in summer.
• Unlimited paid time off.
• Medical insurance.
• Professional growth and development supported by the company.
• Work with a dynamic, highly engaged, and friendly team.
• Strong company culture where we encourage experiments, mistakes, and learning.

Headway Inc is a global tech company, revolutionizing lifelong learning by creating digital products for over 150 million users worldwide. Our mission is to help people grow. We’re proud to be ranked 4th among the World’s Top EdTech Сompanies by TIME magazine. We believe lifelong learning should be accessible, personalized, and impactful to each individual. That’s how we change the world and why we bring together exceptional minds.

The core of our achievements is our team. We believe in people and shared values SELECT. That’s why, together with Volodymyr Korniienko, Engineering Manager at Skillsta by Headway Inc, we’re looking for an iOS Engineer, who will look for and implement product improvements to increase user value.

What product will you be working on?

Skillsta is an app that helps users worldwide improve their social skills through short, interactive lessons based on real-life situations. The app ranked among the top 20 in the Education category on the US App Store.

Tech stack: SwiftUI, The Composable Architecture (TCA), Swift Concurrency, Firebase, Analytics.

Why this is exciting:

• Develop and optimize our iOS app to drive product growth, boost user engagement, and deliver measurable business impact.
• Work in a cross-functional team. You will participate in team brainstorming sessions, test product hypotheses, create new features, and formulate a technical strategy for product development.
• Openness of the team to changes in approaches and the use of new technologies: TCA, SwiftUI.

This job is perfect for you if:

• You are passionate about education and self-development
• You love independence and don't just want to complete tasks from a task tracker, but also offer your ideas and influence product strategy
• Freedom of action is important to you, and you know how to find a balance between development speed and code quality
• You know how to ask questions and dive into business problems to understand why you do something, not just ‘how to do it’

What will you do:

• To own the iOS area within the Product Marketing team
• Develop A/B tests of varying complexity
• Brainstorm ideas and identify areas for improvement
• Collaborate closely with the Product team
• Implement features aimed at user base growth and increased monetization
• Participate in architectural decision-making and propose improvements

What do you need to join us:

• 3+ years of experience as an iOS Engineer
• Closed product tasks and prepared releases independently
• Confident in using Swift, SwiftUI, Concurrency
• Work with TCA architecture (or at least at the level of pet projects)
• Strong understanding of UI development
• Experience with Firebase, Networking, Debugging, and Memory Management
• Understanding and hands-on experience with implementing analytics (Tableau, Amplitude)
• Ability to handle tasks without clear requirements in a fast-paced startup environment
• Alignment with the values of our team (SELECT).

Would be a big plus:

• Experience with A/B testing in mobile applications
• Experience in test automation, TDD, and BDD
• Experience with reactive programming
• Experience working with performance analysis tools

What do we offer:

• Work within an ambitious team on a socially impactful education product.
• An office with a reliable shelter, generators, satellite internet, and other amenities.
• Access to our corporate knowledge base and professional communities.
• Personal development plan.
• Compensation for English language learning, external training, and courses.
• Medical insurance and full sick leave compensation.
• Company doctor and massage in the office.
• Sports activities: running, yoga, boxing, and more.
• Corporate holidays: we go on a week-paid holiday to rest and recharge twice a year.
• Supporting initiatives that help Ukraine. Find out more about our projects here.

Working schedule

This is a full-time position with a hybrid remote option. It means that you can decide for yourself: whether you want to work from the office, remotely, or combine these options.

Are you interested?

Send your CV!

Digis is looking for a Senior TV Apps Developer to join our remote team.

About the Project

The project involves building SDKs and apps for CTV (Connected TV) to enable interactive video features and sponsorship activations. We are in a scaling phase, and the existing SDKs and apps require further development, improvement, and adaptation for more platforms.
Project Country & Time Zone: USA, EST (Eastern Standard Time), with part of the team in CET.
Project Age & Stage: Scaling phase, requiring ongoing development, improvement, and adaptation of existing SDKs and apps.
Duration: Long-term — at least 2 years.
Methodology: Startup-agile. The work is collaborative and fast-paced.
The Team: The team includes a VP of Operations, VP of Engineering, CTV and mobile engineers, and backend developers.
Technologies/Tools on the Project:
Kotlin Multiplatform (for shared logic), Kotlin (Android TV), Swift (Apple TV), CTV platforms (Roku, Fire TV, LG webOS, Samsung Tizen), Video streaming, API integrations, AdTech.

Project Advantages:

• Work on cutting-edge CTV technology and SDKs.
• Scale interactive video for high-profile media and sports brands.
• Strong engineering leadership and a clear product roadmap.
• High level of technical challenge and autonomy.
• An opportunity to be proactive and collaborate across different teams.

Responsibilities:

• Adapt and improve the SDK for various CTV platforms.
• Build test apps to validate SDK usage across platforms.
• Ensure compatibility and compliance with app store guidelines.
• Collaborate with other developers who are integrating the SDK.
• Debug and fix platform-specific playback and UX issues.

Requirements:

• General Experience: 5+ years in software development.
• TV Apps Development: 1+ year of experience with at least one of these platforms: Apple TV, Fire TV, Roku, Android TV, Samsung Tizen, or LG webOS. (Cumulative experience across different platforms is acceptable, e.g., 6+6 months).
• English Level: Sufficient for passing a technical interview (B2).

Conditions:

• Workload: Full-time.
• Schedule: A consistent overlap with the EST time zone is required (at least 5 hours daily), approximately until 10:00 PM Kyiv time.
• Reporting To: You will report directly to the VP of Engineering, with onboarding support from the VP of Operations.
• Duration: Long-term.
• Code Review: Yes, a specialist reviews the code.
• QA: Yes, there is a QA role on the team.

If you are interested in this opportunity, please let me know, and I will provide you with more information. I look forward to hearing from you!

We’re hiring a Security Engineer who thrives in fast-moving environments, understands
technical depth, and can independently own security across multiple areas — from architecture and infrastructure to monitoring and investigations.
You’ll be joining a lean team with serious responsibilities — context switching and high autonomy are part of the job. The role is ideal for someone who prefers deep thinking over surface-level “best practices”.
You’ll play a key role in securing our systems and eventually take ownership of technical implementation and decision-making.
We are building a range of products — from an advanced crypto payment solution evolving into a full blockchain ecosystem with real-world impact, to a comprehensive platform featuring its own blockchain, non-custodial wallet, and stablecoin protocol designed for diverse use cases.

Requirements

• Solid understanding of DevSecOps, infrastructure and Zero Trust models
• Experience securing cloud-based or hybrid environments
• Comfortable with CI/CD systems, internal APIs, identity/access flows
• Capable of performing independent audits, assessments, and investigations
• Experience with analyzing logs, traffic, or reverse-engineering APIs is a plus
• Strong problem-solving mindset and self-direction
• Experience with Blockchain Security infrastructure
• Experience with Hash Keys & Cryptography

Would be a plus

• Previous experience in outsourcing or multi-project environments
• Product background also welcome — if you’re ready to swim across multiple streams, adapt priorities, and handle shifting scopes confidently
• Experience with bare-metal infrastructure

Responsibilities

• Build and maintain secure development and delivery pipelines
• Define and enforce access boundaries, response processes, and security policies
• Detect and prevent data leaks, monitor logs, and investigate anomalies
• Contribute to architecture and infrastructure decisions with a security-first mindset
• Analyze incidents, model threats, and assess risks end-to-end
• Context-switch rapidly while maintaining focus and ownership

We offer

• Competitive compensation
• Social package (24 working days of annual leave, 5 paid sick days)
• Flexible working hours
• Challenging projects in diverse business domains and a variety of tech stacks
• Personal development and professional growth opportunities
• Work with talented, ambitious and family-feel teams
• Educational possibilities: corporate courses, knowledge hubs, and in-house English classes
• Compensation for your professional certification & support for your learning activities
• Opportunity to choose IT equipment you like
• Corporate social responsibility