Jobs at Djinni

We’re searching for a Data Operations Analyst to join our high-performing team responsible for upholding world-class data quality across our product and analytics environments. Our success—and our ability to innovate—hinges on having clean, reliable data readily available to the entire organization. When data is accurate and trustworthy, we can confidently make decisions, develop cutting-edge AI solutions, and offer unparalleled insights to our customers.

In this role, you will be a data analyst and detective owning the operational heartbeat of our data processes, overseeing recurring processes to uncover potential improvements, collaborating with Engineering and Data Science on solutions, and continuously refining workflows for efficiency and scale. You have a keen eye for detail and are willing to go deep root-causing when the data doesn’t align with expectations. You’ll follow standard operating procedures (SOPs), service-level agreements (SLAs), and other best practices that elevate the team’s performance and ensure seamless cross-functional collaboration.

If you want to help define the next generation of data-powered products in a massive industry, this is the perfect opportunity for you. Expect autonomy in your work, support from a team that values continuous learning, and the chance to directly shape our solutions and strategy.

Project is a leading New York-based data and AI software specializing in the $2.3 trillion dollar building materials industry. Our platform, powered by advanced Machine Learning and Artificial Intelligence, provides manufacturers with a data-driven approach to better service customers and grow their relationships with key accounts. By simplifying massive datasets into actionable business insight, we help businesses make data-driven decisions to optimize pricing, inventory, and product assortment.

Our values
- We value execution: momentum is everything
- Belief in the power of positivity: we are encouraging and take risks
- Proactive ownership: we are passionate about driving financial value with a creative data product
- Foster collaboration: we welcome help and always extend a helping hand, internally and externally

Requirements

- Education: Bachelor's degree in a technical field (e.g., Industrial Engineering, Information Systems) or equivalent practical experience in a data-heavy environment.
- Experience: 1–3 years of experience as a QA Analyst, Data Analyst, or similar role.
- Technical Proficiency: Strong proficiency in SQL and familiarity with data warehousing solutions (e.g., Snowflake, Google BigQuery, ClickHouse).
- Coding: Experience cleaning and normalizing key data sources using SQL and Python.
- Visualization: Experience building and using data visualization tools (e.g. Hex, Preset, Tableau) is a plus.
- Math & Stats: An understanding of statistical measurements of accuracy (e.g., correlation, variance).
- Automation: Experience identifying and executing operational improvements through automation.

Who You Are (Attributes)
- An Owner: You maintain an attitude of ownership of your work and adopt strong organizational skills.
- A Self-Starter: You adopt a self-starter mentality and inspire other team members to do the same.
- A Collaborator: You possess effective communication and collaboration skills, with the ability to work well in a team environment.
- A Clear Communicator: You are adept at clear, concise written and verbal communication, comfortable interacting with both technical and non-technical audiences.
- Resilient: You have the ability to prioritize tasks and manage time effectively in a fast-paced environment.

Responsibilities

- Be the Data Detective: Perform root cause analysis using SQL and Python to uncover nuances and issues with the data, ensuring nothing slips through the cracks.
- Drive Quality Assurance: Conduct QA procedures and regular backtesting processes to pinpoint opportunities for enhancing data accuracy and consistency.
- Engineer Automated Solutions: Identify process improvements through automation and work hand-in-hand with Engineering teams to build automated solutions.
- Optimize Data Pipelines: Clean and normalize key data sources and collaborate with Engineering to refine systems, ensuring data flows smoothly from source to destination.
- Visualize Health: Build data visualizations that support you and your teammates’ day-to-day QA workflows.
Communicate & Align: Communicate updates and progress to Product, Analytics, and other stakeholders, ensuring alignment on priorities and timelines.

Work conditions

- Opportunities to work on diverse and challenging projects.
- A supportive and collaborative team environment.
- 12 vacation days per year.
- 5 sick days per year.
- English classes.
- Access to therapist and psychologist support for mental well-being.

Dynamica Labs invites a Junior Project Manager(CRM)  for the implementation of Microsoft Dynamics 365 CRM system to our clients. This position is for those currently working in client-facing roles such as QA, BA, PM, Technical Support Specialist or similar. We provide comprehensive training for transitioning into this role. 
 

 FUNCTIONAL RESPONSIBILITIES: 

• Participation in projects for the implementation of Microsoft Dynamics 365 CRM system. 
• Configuring the Microsoft Dynamics 365 CRM system to fit the client's business processes. 
• Interaction with the development department in terms of writing tasks for system customization, controlling deadlines and quality of execution. 
• Building strong relationships with clients to ensure excellent service levels. 
• Meeting deadlines and reporting on completed work.
   

    WHAT WE EXPECT FROM YOU: 

• 1+ year of experience in IT field
• Desire to continuously learn new things 
• Technically savvy 
• English language proficiency at the upper-intermediate level or higher 
• Higher education
  
      WOULD BE A PLUS: 
• Higher education in technical  field 
• Experience working in an IT company 
• Experience as a PM or project management courses 

 BENEFITS:  

• A London based company, Microsoft Solutions Partner for Business Applications 
• UK and US based clients only 
• Opportunities for self-realization, professional and career growth 
• Skilled management and mature processes 
• Interesting and diverse projects 
• Friendly team 
• Transparent payment system 
• Flexible work schedule, remote work 
• Paid public holidays, annual leave, sick days 
• Guidance, mentoring and training for Dynamics Sales and Marketing, HubSpot, ClickDimensions, MS PowerApps 

You are a person who loves watching tables, review that everything works
You were a spider in your previous life and you hate it when some thread does not work
You love finding any issues in the system and drilling in the issues as far as you can
You enjoy working in untypical hours. [ Evening shifts ] [ Early morning shifts ]
You feel that you can make streaming services work seamlessly. By addressing issues as fast as you can
Join the content experts team to watch content and content tools to deliver the best quality possible with no threads broken

Requirements:

• At least 1-year experience in a similar position (Product Support or relevant experience etc.)
• Good English language skills (at least intermediate spoken and written level)
• Strong knowledge of ticketing systems and troubleshooting workflows.
• Jira, Grafana, Datadog knowledge
• Networking understanding

Good to have:

• Automation scripting, and tech support skills
• Cloud computing
• Web applications and servers architecture understanding,
• HTTP, REST API Monitoring tools and principles
   

Job responsibilities:

Shift Details & Work Schedule:

• Hours: 30–40 hours per week
• Shifts: 6:00 AM – 3:00 PM or 2:00 PM – 11:00 PM, Monday through Sunday
• Note: Flexibility is required. Shifts may include 8–12 hours on weekends and/or additional night shifts based on client requests

Key Responsibilities:

During your shift, you will be responsible for monitoring, triaging, and escalating issues during non-regular working hours. Specifically, you will:

• Monitor content streaming tools to identify and report any system issues
• Monitor content delivery tools to detect and troubleshoot transcoding errors
• Ensure third-party vendor tools and integrations are working seamlessly
• During monitoring downtime, review streaming content and provide quality feedback

Our client is a performance rights organization in the United States. It collects blanket license fees from businesses that use music, entitling those businesses to play or sync any songs from the client’s repertoire of over 22.4 million musical works. On a regular basis, the client distributes the money to songwriters, composers, and music publishers as royalties to those members whose works have been performed.

Requirements:

• Databricks Expertise: Minimum of 3+ years of proven, previous Databricks administration experience in a complex, multi-tenant enterprise environment.
• Advanced Terraform: Strong Terraform skills. You must have hands-on experience building and maintaining reusable modules specifically utilizing the Databricks Terraform Provider.
• Strong understanding of cloud-native IaC (Infrastructure as Code) like Terraform for automating instance provisioning
• Cloud IAM Mastery: Deep, practical knowledge of Cloud Identity and Access Management (IAM), including writing secure IAM policies, managing roles, cross-account access, and secrets management.
• Robust cloud networking experience
• Scripting: Proficiency in Bash

Job responsibilities:

• Environment Ownership: Own the technical implementation of all Databricks environment configuration changes across multi-workspace environments.
• Platform Lifecycle: Manage Databricks runtimes, cluster policies, and coordinate seamless platform upgrades.
• Infrastructure as Code (IaC): Utilize strong Terraform skills to programmatically provision, update, and manage all Databricks resources (workspaces, clusters, tokens, policies) and cloud infrastructure, eliminating manual configurations.
• Cloud Security & Identity (IAM): Architect and enforce secure access models. Manage Cloud Identity and Access Management (IAM) integrations for users, groups, and service principals.
• Secure Cloud Networking: Design, implement, and maintain secure cloud networking architectures for Databricks.
• Cost Optimization: Actively review current environment setups—including cluster configurations, instance types, and data storage parameters—to identify and execute cost-optimization opportunities.
• Efficiency Strategies: Provide expert input on automation, auto-scaling, and monitoring strategies to drastically reduce ongoing compute and storage costs.

We are looking for a talented, experienced, and highly hands-on Agentic Tools Architect to design and modernize business-critical operational platforms and transform them into AI-native, agent-operable systems.

This role combines deep expertise in business systems and operational processes with hands-on engineering, architecture, and agentic AI implementation. The ideal candidate has strong Ruby on Rails experience, understands platforms such as Odoo, Redmine, and GitHub, and has practical experience building AI-agent workflows, integrations, APIs, and automation in production environments.

What You'll Do

• Own the architecture and feature roadmap for operational platforms, from business-process discovery through design, planning, and implementation.

• Design cross-system workflows and integrations that connect business operations, delivery, support, finance, and engineering processes into a coherent operational platform.

• Design secure, agent-operable interfaces using APIs, MCP servers, webhooks, and automation that allow AI agents to safely read, create, route, and resolve operational work.

• Lead the modernization of legacy business systems, including version upgrades, replacement of manual workflows, and migration away from fragile customizations.

• Architect and develop Redmine plugins and Rails-based extensions, Odoo modules, and GitHub Apps/Actions.

• Build upgrade-safe customizations using clean interfaces, contract-first APIs, testing, and well-defined migration strategies.

• Establish standards for access control, data integrity, observability, testing, and human-in-the-loop controls for AI agents operating in business-critical systems.

• Review architectural and implementation changes, including AI-generated code and agent-authored configurations.

What We're Looking For

• 10+ years of experience in software engineering, business-systems architecture, platform engineering, or a related field.

• Expert-level Ruby on Rails experience, ideally including production development or maintenance of Redmine plugins or comparable Rails-based extensions.

• Strong understanding of business processes across operations, delivery, support, finance, and engineering.

• Practical experience with agentic AI development, including MCP, LLM tooling, AI-assisted automation, or agent-orchestrated workflows in production.

• Strong experience designing and building plugins, modules, integrations, and extensions that remain maintainable and upgrade-safe across product versions.

• Strong API and integration design skills, with an understanding of how human workflows, AI agents, and underlying business systems should interact.

• Strong focus on clean, tested, production-grade engineering and reliable systems.

• Experience working with operational platforms such as Odoo, Redmine, GitHub, ERP, ITSM, DevOps, or comparable business-critical systems.

Nice to Have

• Python and Odoo module development experience.

• Strong PostgreSQL knowledge.

• Experience modernizing or migrating legacy systems across major product versions.

• Experience in SaaS, scale-up, or PE-backed environments.

• Experience working with remote and globally distributed teams.

• Comfortable operating in high-ownership, ambiguous environments where you are expected to design solutions rather than simply implement predefined requirements.

This is a hands-on architecture and engineering role for someone who can bridge business operations, enterprise tooling, software engineering, and agentic AI to build the infrastructure required for AI-driven operations at scale.

We are looking for an AI Engineer with practical experience in robotics, simulation, synthetic data and AI agents.

The first priority for this role is to understand how our 3D, simulation and configurator expertise can be useful for robotics teams: what training data they need, how synthetic data can help, where real-world data is required, and which product hypotheses are worth testing.

You will work at the intersection of AI, robotics, 3D/simulation and production software engineering. We expect you to be able to move from an unclear problem to research, technical discovery, prototype, evaluation and a clear recommendation for the next step.

Responsibilities:

• Analyze our current 3D/simulation projects and identify possible use cases for robotics.
• Understand data requirements for training and evaluating robotics models.
• Define where synthetic data, 3D scenes, procedural generation and simulation can create value.
• Build prototypes and experiments for selected robotics or AI scenarios.
• Design and implement AI-agent systems around LLMs, tools, APIs and internal data.
• Integrate AI models into working services, pipelines and tools.
• Set up evaluation, logging, monitoring and feedback loops for AI systems.
• Work with developers, 3D artists, product stakeholders and potential users.

Requirements:

• 3+ years of software engineering experience.
• Strong Python skills and experience building backend services, APIs or ML systems.
• Practical experience with robotics, robotic simulation, autonomous systems or related domains.
• Experience with synthetic data, simulation environments, 3D/game engines or data generation pipelines.
• Understanding of ML data lifecycle: collection, generation, labeling, validation, versioning and evaluation.
• Experience integrating LLMs or AI models into real products or internal tools.
• Experience with AI agents: tool calling, API integration, RAG, context/state management, retries and fallback logic.
• Ability to deploy and operate AI services using Docker, cloud or similar infrastructure.

Nice to have:

• ROS/ROS2, Isaac Sim, MuJoCo, Gazebo, Unity, Unreal Engine or Blender.
• Camera/LiDAR/depth/segmentation datasets.
• Domain randomization, Sim2Real, reinforcement learning or imitation learning.
• LangGraph, LangChain, LlamaIndex, CrewAI or custom agent orchestration.
• PyTorch/TensorFlow, fine-tuning, model evaluation or ML experiment tracking.
• Experience in game development, VFX, 3D pipelines or digital twins.

In the first 30 days, we expect you to understand our project context, analyze possible robotics use cases, describe data requirements and propose several product hypotheses.

By 60 days, we expect a working prototype or technical experiment, clear evaluation criteria, documented findings and a recommendation on whether to continue, change direction or stop the selected hypothesis.

Role Overview

We are looking for an experienced Affiliate Partnerships Manager to own and grow our key advertiser relationships, negotiate commercial terms, optimize affiliate performance, and ensure flawless campaign execution.

Key Responsibilities

• Manage relationships with advertisers, affiliate networks, and account managers.
• Coordinate promotions, offer updates, and partner communications.
• Build strong partnerships and identify new revenue opportunities.
• Negotiate CPA rates, commissions, bonuses, and commercial terms.
• Review and renegotiate existing agreements based on performance.
• Manage contracts and renewals.
• Own tracking links, sub-IDs, and campaign parameters.
• Prepare affiliate assets and coordinate campaign launches.
• Maintain organized partner records and documentation.

• Monitor partner performance and improve operational efficiency.

   

Requirements

Must Have

• 4+ years of affiliate/performance marketing experience (publisher side preferred).
• Experience in finance, nutra, astrology, manifestation, or similar verticals.
• Experience negotiating CPA and commission structures.
• Strong understanding of affiliate tracking and attribution.
• Excellent organizational skills and attention to detail.
• English proficiency (C1+).
• Ability to manage multiple priorities.
• Commercial mindset and willingness to work flexible hours when needed.

Nice to Have

• Experience with Impact, CJ Affiliate, ShareASale, or similar platforms.
• Existing affiliate marketing network.

• Experience attending industry conferences.

   

Who We're Looking For

• Takes ownership.
• Thinks commercially.
• Builds strong relationships.
• Thrives in a fast-paced environment.
• Pays close attention to detail.
• Eager to grow with the company.

What We Offer

Professional Growth

• International environment.
• Career development.
• Corporate library.
• High-performing team.
• Modern tools.

Benefits

• Competitive salary.
• Performance bonuses.
• 21 paid vacation days.
• 14 paid sick leave days.
• Work-life balance.
• Team activities.

Working Environment

• Hybrid work.
• Cozy Warsaw office.
• Complimentary snacks and drinks.
• Friendly team.

We Look Forward to Meeting You!

If you're excited to build strong affiliate partnerships and grow with a high-performing team, we'd love to hear from you.

📍 Location: EU-based, Remote
💼 Cooperation type: Full-time

We’re looking for a skilled Data Engineer to join our Analytics team. 

We are building the data platform that serves both our analytics and operational data needs. In this role you will own significant parts of the platform architecture — from design through deployment — and build the pipelines and services that make the company’s data flow reliably between systems. You will work with large, complex datasets and high-throughput pipelines, and you will own a major greenfield project connecting our production systems with our CRM.

About us:
Stape is a global product-driven IT company and the #1 leader in the server-side tracking market. We’re building a powerful, technically complex product that simplifies server-side tracking for marketers and website owners. Our platform processes over 5 billion requests daily, helping improve tracking accuracy and data privacy for more than 200, 000 clients worldwide. We work closely with top tech partners, including Meta, LinkedIn, Google, Snapchat, and TikTok to provide advanced tracking capabilities.


Skills and experience
 

• Minimum 4 years of experience as a data engineer (platform/pipeline building, not only report maintenance).
• At least an upper-intermediate level of English (written and spoken).
• Bachelor’s degree in Computer Science, Engineering, or another related technical field.
• Extensive knowledge of SQL and Python.
• Experience organizing, monitoring, and maintaining data infrastructure: managing ETL/ELT processes, writing tests for data pipelines, and monitoring data consistency.
• Practical experience with GCP: BigQuery, Cloud Logging, Cloud Storage, Cloud Functions, Cloud Run, Datastream, Pub/Sub.
• Practical experience with Dataform (or dbt).
• Experience with a workflow orchestrator (Apache Airflow or similar) — scheduling, dependency management (DAGs), retries, and backfills.
• Experience with both batch and streaming data processing.
• Ability to build custom Python services and server-to-server API integrations (e.g. FastAPI).
• Understanding of data modeling for analytics — including star schema and lakehouse/medallion (bronze/silver/gold) design patterns.
• Experience with Jira or similar project management tools.

Will be a plus
 

• Familiarity with containerization (Docker); Kubernetes.
• Experience integrating CRM or third-party SaaS platforms via their APIs (e.g. HubSpot, Salesforce) — building bidirectional data syncs, handling webhooks, and reconciling records across systems.
• Change Data Capture (CDC) experience for near-real-time replication.
• Stream processing (Apache Flink, Dataflow) and open table formats (Apache Iceberg).
• Owning data platform architecture end-to-end — technology selection and implementation standards.
• Experience with MySQL.

Duties and responsibilities
 

• Build and maintain infrastructure for reliable extraction, transformation, and loading of data from a variety of sources.
• Design and build batch and streaming pipelines that meet business requirements.
• Own the design and delivery of a bidirectional sync between our production systems and our CRM.
• Conduct SQL performance tuning for existing queries in cloud databases (primarily BigQuery).
• Create and maintain optimized data models and schemas (including star schema and medallion layers) for analytics.
• Evaluate data for integrity and accuracy; work with teams to backfill gaps where found.
• Design and implement data security and governance measures.
• Collaborate with analysts to improve data collection and processing.
• Work with stakeholders on data-related technical issues and support their infrastructure needs.
• Participate in strategic, data-related decision-making.

We are seeking a Senior Back-End Developer to build and optimise the APIs, data models, and services powering ProVision. The role focuses on Python/Django, AWS, distributed systems, performance, and clean architecture.

What You’ll Be Doing

• Design and implement RESTful APIs with Python 3.10+, Django 4.x, and Django REST Framework;
• Develop scalable data models and queries using PostgreSQL, Redis, and Elasticsearch/OpenSearch;
• Build background and asynchronous tasks with Celery, SQS, and Lambda;
• Integrate AWS services including S3, SNS/SQS, CloudFront, ECS, and RDS;
• Participate in code reviews and maintain secure, well-documented services;
• Collaborate with DevOps on CI/CD and infrastructure automation;
• Contribute to architecture, scalability, and performance optimisation.

Must-Have Requirements

• 10+ years of software development experience, preferably in SaaS;
• Strong Python 3.10+, Django 4.x, and Django REST Framework experience;
• Strong system design and software architecture skills, with experience building scalable systems on AWS;
• Hands-on experience with ECS, Lambda, S3, CloudFront, and RDS;
• Strong experience with PostgreSQL, Redis, Elasticsearch/OpenSearch, Celery, and SQS/SNS;
• Experience with Git, CI/CD, and Agile/Scrum;
• English B2+ for daily communication.

Preferred Requirements

• Experience with Terraform, Docker, Kubernetes, or AWS developer tooling;
• Knowledge of authentication, RBAC, and multi-tenant architecture;
• Experience with pytest, linting, pre-commit, and CI quality checks;
• Experience with text/document processing libraries such as pdfplumber, PyPDF2, or docxtpl.

We offer

• Maximum flexibility;
• Professional trainings, conferences and certifications;
• Corporate events and benefits;
• Professional literature;
• English courses.

Moon Active is one of the world's top mobile game companies, our teams leverage cutting-edge technologies to craft fun and interactive games enjoyed by millions worldwide. We produce exciting and engaging entertainment for players across the globe and pride ourselves on developing top-quality casual games that invite and allow players to connect with one another.

We're looking for a talented DevOps engineer to join our team. As a DevOps Engineer, you will architect and operate scalable, resilient cloud environments, using advanced automation and AI-based tools to improve system health, reduce manual intervention, and optimize infrastructure costs.

Responsibilities:

• Own the full lifecycle of the Coin Master platform. Ensure high availability, performance, and cost-efficiency across our multi-region AWS environment
• Design and maintain robust, high-performance infrastructure using IaC. You will focus on building self-healing environments where AI agents continuously monitor and remediate issues in real-time
• Embed security into the infrastructure layer. Leverage AI-assisted tooling to proactively identify and patch vulnerabilities across our Kubernetes clusters and AWS stack
• Build tools and services that empower our engineering team to ship code faster. You are the architect of the platform, ensuring it is intuitive, scalable, and fully automated

Requirements:

• 3+ years of DevOps experience. Proven track record in managing production-ready Kubernetes clusters, AWS or GCP infrastructure, and high-traffic distributed systems
• Experience integrating AI tools into daily workflows, including hands-on use of AI agents (Cursor, Claude Code or similar) for infrastructure automation, planning, and debugging
• Extensive management experience of multiple AWS or GCP accounts spanning various regions, proficient in services like Lambda, CloudFront, SQS, VPC, and IAM
• Strong understanding of cloud cost optimization at scale through architectural design and automated resource management
• Deep proficiency with modern CI/CD platforms (GitHub Actions, Jenkins, ArgoCD)

Advantages:

• Experience with LLM orchestration (LangChain, LangGraph) or building internal tools/agents that interact with cloud APIs to automate operational tasks
• Hands-on experience with Kafka (MSK/Apache Kafka) and high-performance caching layers like Redis/Elasticache
• Experience with CloudFlare management and complex edge-computing configurations

Benefits:

Why join Moon Active? 

• Be part of a leading global mobile gaming company with a unique product enjoyed by millions
• Thrive in an exceptional, innovative, and dynamic environment
• Enjoy full transparency and open communication with talented colleagues across teams
• Take advantage of tremendous opportunities for professional growth and career advancement within a rapidly expanding company
• Influence and help build personalized product experiences that impact millions of users worldwide

We offer:

• Generous compensation; paid vacation and sick leave
• Extensive medical and life insurance coverage for you and your family
• CrossFit & running classes at the office and MultiSport card;  
• Comfortable and modern office located on Królewska 16 street in Warsaw
• Free daily breakfasts and lunches, and a fully stocked kitchen with snacks and fruits
• Latest tech equipment, including macOS devices
• Training & Development/Tuition reimbursement
• Friend Referral Program with generous bonuses
• Fun and collaborative workplace culture with regular Friday Happy Hours and team gatherings
• Relocation bonus for candidates moving to Warsaw
• Bicycle and Car parking

We Play to Win! We Play it Smart! We Play as a Team!

We are committed to investing in our employees and fostering a workplace that champions innovation, creativity, and collaboration. At Moon Active, we empower our team members to unleash their potential and achieve remarkable results every day. We encourage bold decision-making and believe that every individual has a significant impact on our success. Join us and level up your career in a supportive and high-achieving environment!
 

About Us: InnovatelU is a dynamic tech company delivering cutting-edge solutions. We're looking for a passionate Java Developer to join our team. If you have a solid Java foundation, are eager to grow, and learn quickly, we want to hear from you! 

Requirements: 
- Strong knowledge of Java 
- Knowledge of Spring (Spring Core, Spring AOP, Spring MVC, Spring Security, Spring Boot) 
- Familiarity with REST APIs, web services 
- Proficiency in version control tools (Git) 
- Experience with build tools like Maven and Gradle 
- Experience with relational databases (PostgreSQL) 
- Expertise in containerization (Docker) 

- Experience in unit and integration testing 
- Strong communication skills and teamwork ability 
- English level: Intermediate or higher 

Will Be a Plus: 

- Solid understanding of design patterns 

- Experience with NoSQL databases like MongoDB and Redis 

- Familiarity with messaging systems like Kafka and RabbitMQ 

- Experience with microservices architecture 

Responsibilities: 

- Collaborate with senior developers and project managers 

- Assist in designing, coding, and testing applications 

- Write well-designed, efficient, and testable code 

- Participate in code reviews 

- Debug and resolve technical issues 

- Contribute to application documentation 

Interview Stages: 

1. Test Task: 1 hour 

2. HR Interview: 30 minutes 

3. Technical Interview: 1 hour 

We Offer: 

- Full Remote 

- Constant support and mentoring 

- Paid 5 working days of sickness per a year; 

- Paid all official Ukrainian holidays; 

- 18 working days of vacation per a year; 

- Opportunity for professional growth and career development 

If this sounds interesting to you, let's talk!

Our Customer:

Our customer develops specialized software products for professional business workflows. The engineering team works on established production applications and is looking for a full-stack engineer who can contribute across both frontend and backend development.

Your Tasks:

• Develop and maintain full-stack applications across React/TypeScript frontend and C# backend.
• Work on medium and large-scale production applications throughout the development lifecycle.
• Develop and maintain frontend functionality using React, including both Hooks and class-based components.
• Build and maintain backend functionality using ASP.NET MVC and Web API on the classic .NET Framework.
• Investigate, debug, trace, and resolve complex frontend and server-side issues.
• Apply software engineering principles, design patterns, and clean development practices.
• Quickly learn and adopt new technologies when required.
• Work independently while contributing across the full technology stack.

Required Experience and Skills:

• 3+ years of experience working with medium or large-scale React applications.
• Strong knowledge of React Hooks and classic class-based components.
• Strong TypeScript skills.
• Good understanding of core web technologies, including JavaScript, XHTML, and CSS.
• Production experience with Redux, Redux Saga, and Immutable.js.
• Strong frontend debugging and problem analysis skills.
• 2+ years of experience working with medium or large ASP.NET MVC or Web API applications.
• Hands-on experience with the classic .NET Framework; working experience with .NET Core is not required, but solid knowledge of .NET Core is required.
• Strong knowledge of C#, OOP, SOLID principles, design patterns, reflection, and algorithms.
• Strong understanding of XML and JSON serialization.
• Ability to debug, trace, and resolve complex server-side issues.
• Strong ability to learn new technologies quickly and work independently.
• University degree in Computer Science or a related field, or equivalent industry experience.
• Excellent English.

Would Be a Plus:

• Experience with AWS services such as SQS, EKS, and Fargate.
• Experience with cloud-oriented systems.
• Experience with Kubernetes.
• Experience with Node.js.
• Knowledge of nw.js or similar technologies.

Our Customer:

Our customer is an international technology company developing a modern cloud-based SaaS platform used by businesses to automate and optimize their daily operations. The product serves enterprise customers and is built with scalability, reliability, and long-term maintainability in mind. The engineering team follows modern development practices, values clean architecture, and actively collaborates across product, design, and QA to deliver high-quality software.

Your Tasks:

• Design, develop, and maintain scalable full-stack web applications using .NET and React.
• Build reusable, maintainable, and high-quality backend and frontend components.
• Design and implement RESTful APIs and integrate backend services.
• Collaborate with Product Managers, UX/UI Designers, QA Engineers, and other developers throughout the development lifecycle.
• Participate in architecture discussions and contribute to technical decisions.
• Optimize application performance, scalability, reliability, and security.
• Troubleshoot and resolve issues across both frontend and backend systems.
• Work with Docker, CI/CD pipelines, deployment configurations, and monitoring tools to support reliable software delivery.
• Perform code reviews and share technical knowledge within the team.
• Follow Agile methodologies and software engineering best practices.

Required Experience and Skills:

• 5+ years of commercial experience in full-stack software development.
• Strong hands-on experience with .NET / C#.
• Strong experience with React and modern JavaScript/TypeScript.
• Experience designing and consuming RESTful APIs.
• Solid knowledge of SQL databases.
• Experience working with Docker, deployment pipelines, and monitoring tools.
• Experience with Git and modern CI/CD workflows.
• Strong understanding of object-oriented programming, software architecture, and design patterns.
• Experience working for a large, globally recognized product or technology company.
• Excellent analytical and problem-solving skills.
• Ability to work independently and effectively in a cross-functional Agile team.
• Upper-Intermediate English or higher.

Would Be a Plus:

• Experience with cloud platforms (AWS, Azure, or GCP).
• Experience with microservices architecture.
• Knowledge of Kubernetes or container orchestration.
• Experience with automated testing and TDD.
• Previous mentoring or technical leadership experience.

Our client is one of Europe's fastest-growing mobile companies with 6 million active customers, 1,000 employees worldwide, and operations in five countries. The client is using the mobile virtual network operator business model.

We are looking for a Middle General QA to join the backend team responsible for a big set of microservices.
 

Responsibilities:

Testing

• Manual testing of APIs and services
• Functional, regression, and integration testing
• Smoke and sanity testing
• API testing (REST)
• Exploratory testing
• Verifying issues via logs

Documentation

• Writing test cases and checklists
• Creating and maintaining test documentation
• Bug reporting in tracking systems (Jira)
• Participation in requirements analysis
• Test coverage analysis

Automation (partial)

• Writing automated tests in Java
• Maintaining existing automated tests
• Contributing to test automation development

           Process Involvement

• Participation in Agile/Scrum ceremonies
• Collaboration with developers and product team
• Test planning and estimation
• Risk assessment
   

Requirements:

• 3+ years of QA experience
• Strong knowledge of testing theory and methodologies
• Basic Java knowledge (Core Java, OOP principles)
• Experience with API testing (Postman, SoapUI)
• SQL knowledge (queries, joins)
• Understanding of SDLC and STLC
• Experience with bug tracking tools (Jira)
• Git basics
• Knowledge of testing types and techniques
• Intermediate+ English (written and spoken)
• Analytical thinking and attention to detail

Would be a plus:

• REST Assured knowledge
• CI/CD understanding (Jenkins, GitLab CI)
• Knowledge of design patterns
• Postman/SoapUI
• Experience with AWS, Azure
• JSON/XML

We are looking for a senior engineer to own the quality of our AI features and help define engineering standards across the team.

Approximately 70% of this role focuses on quality and evaluation for agentic workflows: building evaluation harnesses, maintaining datasets, implementing regression gates, and turning production failures into repeatable checks.

The remaining 30% focuses on improving product engineering through code reviews, resilient design, mentoring, and early involvement in feature development. You will also contribute production code to stay close to the systems you review.

This role combines software engineering, AI evaluation, and technical leadership. It requires broader ownership than a traditional test automation position.

Our Stack

• Languages: TypeScript and JavaScript
• Backend: Node.js with Express
• Frontend: React and React Native
• Databases: PostgreSQL and MongoDB
• Infrastructure: AWS
• Testing: Playwright for web and Maestro for mobile
• CI/CD: GitHub Actions

Responsibilities

AI Evaluation & Quality Engineering - approximately 70%

• Build and maintain evaluation harnesses, golden datasets, and scoring methods for production agentic workflows.
• Define measurable quality standards for AI features, including task success, failure handling, latency, and cost.
• Implement regression gates in CI so changes receive an evaluation verdict before merging.
• Own the Playwright web and Maestro mobile end-to-end suites, keeping them fast, reliable, and transparent about failures.
• Establish engineering standards for code reviews, architectural patterns, and targeted refactoring.
• Instrument AI features in production and turn observed failures into new evaluation cases.
• Investigate evaluation regressions and help the team determine whether changes are ready to ship.

Product Engineering & Resilience - approximately 30%

• Review code across Node.js, React, and React Native applications, providing specific, actionable feedback.
• Coach engineers on error handling, retries, idempotency, failure isolation, and tests that demonstrate resilient behavior.
• Participate in feature design early to address quality, testability, and operational risks before implementation.
• Make targeted contributions to production code to maintain hands-on knowledge of the systems.
• Help troubleshoot production incidents by reading traces, reproducing failures, and driving issues to resolution, including occasional incidents outside regular working hours.

Required Experience

• 5+ years of experience building and operating production web applications.
• Strong JavaScript and TypeScript skills, with a deep understanding of runtime behavior.
• Hands-on production experience with Node.js (Express) and React.
• Practical PostgreSQL expertise, including schema design for read patterns, indexing, query plan analysis, and migrations under load.
• Production experience with AWS, including ECS or Lambda, Secrets Manager, CloudWatch, and IAM, with an understanding of infrastructure costs.
• Experience owning and maintaining a Playwright or equivalent automated test suite.
• Experience building and optimizing CI/CD pipelines in GitHub Actions.
• A demonstrated track record of improving code quality through reviews, architectural practices, and successfully delivered refactors.
• Experience mentoring engineers, with concrete examples of practices you helped a team adopt.
• Strong debugging skills and the ability to investigate issues across application code, databases, and infrastructure.
• Clear, effective asynchronous written communication.

AI Engineering & Evaluation - Required

Hands-on AI engineering and evaluation experience is essential. Candidates should be prepared to discuss specific systems, decisions, and outcomes.

• Daily experience working with frontier models and agentic coding tools such as Claude Code, Codex, or Cursor.
• Experience personally building evaluations for an LLM or agent system, including defining what to score, choosing scoring methods, and responding to changes in results.
• Experience constructing and maintaining evaluation datasets: sourcing cases, managing labeling, and keeping coverage relevant as the product evolves.
• Understanding of agentic failure modes that conventional unit tests do not capture.
• A repeatable approach to providing agents with context through instruction files, tool definitions, MCP servers, and subagent roles.
• A practical approach to tracking token spend and wall-clock time per unit of delivered work.