Jobs

About

EdSpan is an innovative company in the EdTech space, building cutting-edge learning experiences for the next generation of students. Our collaboration with a US-based private school network helps us better understand user needs while expanding our B2C and B2B products to a broader audience. We are currently working on three major projects:

AI tutoring experience — an innovative project that brings real-time interaction with a 3D animated assistant powered by LLM technology. This virtual tutor helps students navigate challenges, provides guidance, and enhances the learning journey in a playful and engaging way.

Tutorpeers – a peer-to-peer tutoring platform with a young teachers marketplace, event booking features and Zoom-like online sessions with additional interactive learning tools.

Spark Incubator – LMS-like system designed to teach kids entrepreneurship.

We have well-defined processes, trying to automate routine things, conduct code reviews, use CI and CD pipelines to validate and ship our code. We use the Agile approach with daily stand-ups, bi-weekly sprints, and other Scrum artifacts. We keep the number of meetings to a minimum so that engineers can focus on writing high-quality code and delivering cool features.

Who you are

We’re hiring our first AI/ML Engineer to lead the development of our AI agents, including prompting, the RAG and evaluation pipelines, potential fine-tuning. So, you’ll play a key role in shaping the technical direction. We’re seeking someone with a strong understanding of machine learning and NLP fundamentals, capable of tackling complex challenges in agentic workflows and optimizing model performance across the stack.

Requirements

• At least 4 years of experience in the field of Machine Learning, working as a Data Engineer, Data Scientist, Machine Learning Engineer, or in a similar role.
• Bachelor’s degree in Computer Science, Mathematics, or equivalent practical experience;
• Proficiency in Python and common data science libraries (pandas, NumPy, scikit-learn);
• In-depth knowledge of machine learning principles, understanding of LLM architectures, prompt optimization, and fine-tuning strategies;
• Skilled in designing and optimizing RAG pipelines, including embedding generation, sparse and dense retrieval, and hybrid search techniques;
• Familiar with LLM evaluation metrics and tools (BLEU, RAGAS, DeepEval, and other);

• Upper-Intermediate level of English (B2) or above.

   

Highly desireable

• Proven experience building AI-driven workflows using frameworks such as LangGraph, AutoGen, or similar orchestration tools;

• Knowledge of AWS cloud and MLOps.

   

Responsibilities

• Design, implement, and optimize LLM prompts to ensure reliable outputs;
• Assist in developing and maintaining AI evaluation workflows, including designing evaluation guidelines and metrics;
• Help design and develop AI data pipelines: collection, storage, annotation, and model improvement;
• Leverage agent orchestration tools to improve and automate AI workflows;
• Collaborate with the product team to ensure AI capabilities power usable product features.

On behalf of our Client from Japan, Mobilunity is looking for a Senior Scala Developer for a long-term engagement.

🐳About project:🐳

Our client is a fast-growing fintech company based in Tokyo. The company offers its real-time monthly consolidated credit service all across Japan. Our client started Japan’s first instant post-pay credit service for e-commerce customers in October 2014. The main product is an online payment platform which requires no pre-registration or credit card to use; via this service the customers can purchase products online using only a mobile phone number and email address and settle a single monthly bill for all their purchases, either at a convenience store, by bank transfer or auto debit. Customers can use credit funds during a month and then return the balance to zero without paying credit interests.
This service also supports multi-pay installments and subscriptions. There are currently over 4 million accounts in use. This service got the largest investment to date in the Japanese financial tech industry, including PayPal Ventures investment.

🐳Technical stack on the project:🐳

Back-end: Scala, Cats/Cats-effect

Apache Cassandra, Apache Kafka

ElasticSearch

Infrastructure: AWS, Cloudformation, ECS, Fargate

Hexagonal architecture

Web front-end: React, Redux, Webpack (SPA)

Mobile: React Native

🐳Key Role and Responsibilities🐳

You will be responsible for developing and scaling our payments platform while meeting the highest standards in terms of security, maintainability and resilience to failure. You will meet regularly with the product team to align software delivery with business goals. With the help of your team members, you will come up with software design tradeoffs and communicate them clearly to other engineers as well as product team members to implement mutually agreed-upon solutions. You will also have the opportunity to work cross functionally in feature teams to deliver product features and services. In addition to regular deliverables expected of the engineering team, you are expected to follow and stay current with industry best practices such as writing automated tests and taking part in regular code reviews to ensure quality code at its highest possible standards.

🐳Required Skills to have:🐳
 

• Knowledge of one or more high-level statically-typed languages, plus an interest in Functional Programming
• Knowledge of Git
• Quality code and testing: Legibly-written code that is easily understood by others
• Approaches debugging with a systematic approach
• Understands automated testing with a curiosity to suggest performance improvements
• Ability to understand code independently and make intelligent inferences to code in the broader context
• Understanding of software architecture and design with the ability to align the overall service architecture
• Basic understanding of security measures and how they may implicate the wider system
• Comfortable with knowledge sharing, working on a team and building relationships
• Shows interest in the organization's engineering strategy, product development strategy and how that aligns to the overall business strategy
• Ability to define task outlines and deliverables
• Demonstrates a sense of urgency when required
• Ability to manage some ambiguity and exercises good judgment when needed
• Ability to give and receive constructive feedback tactfully upstream and downstream
• Entrepreneurial spirit and eager to learn how to grow the business!
   

🐳Good to have:🐳
 

• Preferably relevant experience in technologies and concepts that we use: Scala, Cassandra, Kafka, Postgres, Functional Programming, REST API, microservices architecture, JSON, Avro, CI/CD, AWS, Fargate, Terraform, Git, Data streaming, ElasticSearch, Redis, Event Sourcing, unit/functional testing, cats, cats-effect, tagless final, CQRS, event sourcing.
• Understands cross-team interdependencies and work streams
• Ability to envision delivery roadmap and articulates this clearly for others to follow
• Builds relationships with stakeholders throughout the organization
• Understands product opportunities, differentiators and competition
• Knowledge of cloud computing platforms such as AWS
• Experience building distributed systems
• Experience working on a payment platform or other fintech field
  🐳Come on board, and let’s grow together!🐳

Oracle Infrastructure & Database Experts

Please note - to apply you must have at lest 1 Oracle Certification.
 

Roles: OCI Architect / Oracle Cloud Engineer / Oracle Database
 

Engineer Engagement: Contract or Permanent Core Focus:

• OCI Architect: Designing and migrating enterprise solutions to Oracle Cloud Infrastructure; optimizing cloud environment costs and security.
• Oracle Cloud Engineer: Deploying and administering OCI services, automating infrastructure (Terraform/Ansible), and supporting CI/CD pipelines.
• Oracle Database Engineer: Deep expertise in Oracle DB (19c/21c), configuring high availability (RAC, Data Guard), backup (RMAN), and SQL/PL-SQL performance tuning.
   

Key Requirements:

• Valid Oracle Certifications (Professional or Expert levels).
• Proven experience with high-load systems and On-prem to Cloud migrations.
• English proficiency for collaboration within international teams.
   

Key Responsibilities

• Develop, train, and optimize deep learning models for:
  • Motion detection under ego-motion conditions;
  • Object detection and classification;
• Design motion-aware preprocessing and compensation techniques (stabilization, optical flow, background subtraction)
• Perform model evaluation using quantitative metrics (mAP, precision/recall, latency, robustness under motion)
• Optimize models for deployment (TensorRT/ONNX/edge devices where applicable)

Required Qualifications

• 2–4 years of hands-on experience in Computer Vision;
• Practical experience training object detection models (e.g., YOLO, Faster R-CNN, RetinaNet);
• Understanding of motion-related CV concepts:
  • Optical flow;
  • Video tracking;
  • Ego-motion compensation;
  • Kalman filtering (basic level);
• Experience working with video streams (not only static images);
• Solid Python skills;
• Familiarity with OpenCV;

Nice to Have

• Experience with multi-sensor fusion (automotive/smart home);
• Experience optimizing models for edge deployment;
• Understanding of real-time systems constraints (latency, throughput, memory);
• Experience working with noisy, real-world datasets;

 About Us

We help small and medium-sized ISPs, Telcos, and other businesses around the world keep pace with larger Tier 1 operators and global OTT/IPTV players.

As a family-owned company, we maintain close, long-term relationships with our customers — many of whom are also independent, family-run businesses.

We believe that small businesses should have access to the same advanced technologies used by the biggest operators, so that people everywhere, no matter how remote, can enjoy the same quality of experience. We deliver these technologies through our backend platform and applications across iOS, Android, Tizen, WebOS, Web, and Roku.

The Opportunity

We are looking for a Technical Business Analyst (with a fast-track to Product Owner) to join our Product team and help shape the future of our IPTV / OTT platform used by telecom operators, hotels, and service providers worldwide.

This is a hands-on and self-driven role. You will be expected to lead the discovery phase for your area: talk to stakeholders, explore data, understand how things work end-to-end, and turn all of that into clear product decisions and requirements. Over time, we expect this role to take over a significant part of Product Ownership for one or more domains.

You will work closely with the Product Manager, development, DevOps, and QA teams, but you will be able to move forward independently and unblock yourself whenever possible.

What You Will Do

• Own the discovery phase for features and initiatives: clarify the problem, explore options, and propose solutions.
• Work directly with customers and internal stakeholders to collect, challenge, and refine requirements.
• Analyze API payloads, XML, JSON, and text logs to understand current behavior, edge cases, and issues.
• Use light scripting and tools to clean, transform, and analyze input data when needed.
• Spin up and verify simple environments using Docker (and optionally Kubernetes using a GUI) to explore features or validate assumptions.
• Translate business needs into detailed user stories, acceptance criteria, and supporting documentation.
• Maintain a clear, prioritized backlog together with the Product Manager and gradually take ownership of product decisions in your domain.
• Support the team during development and testing, answering questions and adjusting requirements as needed.
• Use AI tools daily to improve quality and, in some cases, speed up research, analysis, and documentation while retaining ownership of the outcomes.

You Are Our Ideal Candidate If You Have

• At least 5 years of experience as a Business Analyst or Product Owner in product or software companies.
• Strong understanding of the product and project life cycle and experience managing requirements through all stages.
• Proven ability to analyze and document requirements, write technical specifications, user stories, and acceptance criteria.
• Practical experience working on global projects and collaborating directly with clients.
• A deep understanding of product functionality from both business and technical perspectives.
• Experience with Jira and Confluence.
• Excellent written and verbal communication skills.
• Upper intermediate English level or higher.
• A self-sufficient working style: you are comfortable driving discovery, asking questions, digging into systems, and proposing solutions instead of waiting for detailed input.

Technical Skills We Expect

• Ability to read and analyze JSON, XML, and text logs (for example, from APIs, microservices, and integrations).
• Ability to make and understand basic API calls using tools such as Postman or similar.
• Comfort with fundamental data analysis, for example:
  • Filtering and searching in large log files.
  • Simple data checks and comparisons using spreadsheets or scripts.
• Ability to write small, practical scripts in bash, JavaScript, or Python (for example, to parse logs, clean data, or validate assumptions).
• Hands-on experience with Docker:
  • Running and troubleshooting local services using Docker or docker compose.
  • Understanding how services communicate in a containerized setup.
• Experience with Kubernetes or a strong interest in learning it is a plus.
• Confident user of AI tools (ChatGPT, Claude, Cursor) for:
  • Drafting and refining documentation.
  • Exploring solution options.
  • Challenging research results, User Stories, Acceptance criteria, and data exploration.
  • Quick assessment using the internal knowledge base as context.
  • Make bash/python scripts to analyze data (precise)
     

It Will Be a Significant Plus If You Have

• Experience creating user interface sketches or wireframes.
• Experience with Android TV, Apple TV, or Smart TV ecosystems.
• Understanding of APIs, integration flows, and backend systems for content and subscriber management.
• Prior experience working with a white label product setup.
• Experience working in a B2B or telecom / media environment.
   

We Offer

• 24 vacation days plus 12 flexible personal days annually.
• Paid sick leave and fully covered English classes.
• Annual professional development budget for courses, conferences, or certifications.
• Modern office in Odesa, equipped with secure power, connectivity, and a shelter.
• A friendly product culture where your voice shapes the roadmap and processes.

Role Overview

As a Backend Developer, you will develop and maintain backend services, integrate third-party APIs, and ensure the security and performance of our system. You will work closely with blockchain and payments services, contributing to a highly scalable and secure architecture.

Key Responsibilities

• Develop and maintain NestJS-based microservices in TypeScript
• Implement secure and scalable APIs using TypeORM and PostgreSQL
• Integrate third-party APIs, such as payment gateways, crypto exchanges, and KYC services
• Collaborate with the team to implement best coding practices and maintain high-quality code
• Participate in code reviews, debugging, and testing to ensure system reliability

• Work with blockchain integrations, including Web3.js/Ethers.js and private key management

   

Requirements

• 5-10 years of backend development experience, with 4+ years in Node.js/NestJS
• Strong TypeScript and NestJS skills
• Experience with PostgreSQL, TypeORM, and query optimization
• Experience in API development, authentication (JWT/OAuth), and encryption
• Knowledge of payment gateways, crypto exchanges, and KYC integrations is a plus
• Strong problem-solving skills and a willingness to learn new technologies
• Basic familiarity with blockchain technology, Web3.js/Ethers.js, and security best practices
• Maintain the stability and reliability of the Production environment
• Investigate incidents, issues, and edge cases
• Fix production problems and support-related issues
• Monitor overall system health and performance
• Work closely with the support and engineering teams to resolve issues efficiently

We are looking for a Data Engineering Specialist who is passionate about building systems that shape business outcomes. This role will play a key role in designing, building, and optimizing the data platform.

You will drive and manage large-scale data migration and modernization initiatives, and work with cross-functional teams to deliver trusted, high-quality data that drives business intelligence, analytics, and innovation. 

As a Data Engineering Specialist, you will be at the forefront of building scalable pipelines, architecting data solutions, and ensuring the data platforms can support real-time insights and long-term growth. 

Responsibilities and Duties: 
• Take ownership of coding and solution design while collaborating with internal and external engineers on design, development, and deployment of data pipelines and solutions. 
• Design and implement end-to-end data migration strategies from legacy systems to modern cloud platforms. 
• Manage data architecture and data modernization initiatives, ensuring alignment with business goals, data governance policies, and performance requirements. 
• Develop and optimize ETL/ELT pipelines using modern tools and frameworks (e.g., Apache Spark, Databricks, Airflow, dbt). 
• Work with stakeholders to gather requirements and translate them into scalable and maintainable data solutions. 
• Ensure data quality, reliability, and integrity through robust testing and monitoring. 
• Drive best practices in DevOps for data – CI/CD. 
• Mentor and provide technical guidance to data engineers.

Qualifications Required: 
• 7+ years of relevant experience in Data Engineering / Analytics domain with at least 3 years in Digital Analytics 
• 7+ years of experience in SQL 
• 4+ years in Python 
• Experience with building a data lake over Cloud / Azure, ADF, Synapse, and Databricks – Delta Lake 
• Proven expertise with tools like ADF, Qlik Replicate, FiveTran for data integration and ETL processes. 
• Strong understanding of Python scripting and use of libraries (NumPy, Pandas) 
• Extensive hands-on experience with MS Fabric, including data warehousing, SQL optimization, and cluster management. 
• Strong knowledge of Big Data technologies such as Data Bricks, Event driven data processing using Function Apps/Lambda is preferred • Understanding of Web services (SOAP, XML, UDDI, WSDL) 
• Strong knowledge and experience in event driven architecture using standard message queues (i.e.RabbitMQ, SQS or Kafka) 
• Hands on Experience parsing NOSQL file systems such as JSON, XML, AVRO, Parquet. 
• Proven track record of using Apache Spark Data Bricks. 
• Hands-on experience with Azure Data Factory (ADF), Logic Apps, and Runbooks. 
• Exposure to traditional BI Tools (Tableau, Power BI, Qlik, SSRS, etc.) 
• Experience building web-services is a plus. 

Full-time remote job

Requirements:

• Proficiency with React and TypeScript for frontend development
• Strong backend development experience with Python and PostgreSQL, including schema design and migrations (SQLAlchemy + Alembic)
• Deep understanding of asynchronous programming and event-driven systems (Python async, background processing, integrations)
• Experience with workflow orchestration tools
• Hands-on experience working with Apache Airflow, including DAG's and backend integrations
• Experience in building or designing data pipelines, including orchestration, data processing and integrations (batch and/or streaming)
• Build and maintain infrastructure using Terraform, Kubernetes and Helm
• Experience deploying and operating services on Kubernetes, including maintaining Helm charts
• Ability to work highly autonomously, proactively clarify requirements and driving work forward with minimal supervision
• Strong communication skills and experience working in distributed teams

Nice-to-Have:

• Familiarity with FastAPI
• Experience with Bazel build system (training can be provided)
• Experience with CI/CD pipelines
• Prior experience in environments with limited product management and high ownership

Key Responsibilities:

• Design, build and deliver full-stack features using Python, PostgreSQL, React and TypeScript
• Take ownership of features from initial, sometimes ambiguous ideas to production, including:
• clarifying requirements and assumptions
• technical design
• implementation
• testing, deployment and monitoring
• Design and maintain integration-heavy backend services, collaborating with other teams and consuming internal API's
• Work closely with Apache Airflow pipelines (seamless integration with backend services)
• Design and implement scalable backend systems using PostgreSQL
• Proactively identify risks, dependencies and gaps in requirements, and drive solutions 
• independently
• Build and maintain infrastructure using Terraform, Kubernetes, and Helm
• Collaborate with team members in regular syncs to discuss progress, blockers and demos
• Participate in code reviews, design discussions and cross-team technical coordination

About the Project:

We’re hiring a Full-Stack Software Engineer (Python + React) to join a fast-paced, highly autonomous team. This role is ideal for an engineer who is comfortable working across the stack, passionate about writing clean and scalable code, and capable of driving features end-to-end - from design to infrastructure provisioning to production monitoring.

Engineers are trusted to make decisions, ask the right questions and deliver production-ready solutions. The work spans backend services, Airflow-driven workflows, infrastructure and frontend with a strong emphasis on building reliable, well-integrated systems that scale.

You will work closely with cross-functional teams to build new features from scratch.

We are the creators of a new fintech era!
Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey.
We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary 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 Middle/Senior DevOps / SRE Engineer!

Requirements

— 4+ years of hands-on experience as a DevOps / SRE and deep expertise in the following technologies:
— Linux: Advanced administration and OS-level tuning.
— Containerization: Deep-dive knowledge of Docker and/or Kubernetes.
— IaC: Proven experience with Ansible, Terraform, Helm.
— Network: Solid networking skills on Linux, including VPN solutions, Proxies, and Web servers.
— Monitoring: Practical experience with the Prometheus Stack and Grafana.
— Scripting: Proven track record writing scripts in Bash, Python (Golang is a nice-to-have/big plus).
— CI/CD: Strong grasp of core CI/CD tools and experience with secret management using Vault
— Security: Understanding of DevSecOps principles and hands-on experience configuring security policies in Kubernetes.
 

Responsibilities

— Hybrid Infrastructure: Get your hands dirty with both cloud providers and bare-metal servers. This includes administering Linux servers (Ubuntu, CentOS, RHEL), incident resolution, and troubleshooting.
— Infrastructure as Code (IaC): Automating deployment and configuration using Ansible, Helm, and Terraform.
— CI/CD: Building and maintaining rock-solid CI/CD pipelines (GitLab CI, Jenkins, ArgoCD).
— Monitoring & Observability: Setting up and optimizing comprehensive monitoring and logging stacks (Prometheus, VictoriaMetrics, GrafanaLabs stack, ELK stack).
— High Availability & DRP: Designing and implementing architecture that adheres to principles of High Availability (HA), scalability, and Disaster Recovery Planning (DRP).
 

Would be a plus

— Linux: Deep-dive into kernel-level optimization, from syscalls to network card tuning.
— Experience operating High Availability / Low Latency solutions.
— Background in building and operating Big Data and Data Analytics platforms.
— Understanding of business processes in the FinTech/Banking/Crypto sector.
— Proven track record as an SRE.
— DevSecOps: Vulnerability detection, enforcing security best practices (Zero Trust, RBAC, secure code delivery), and experience with scanning tools (Trivy or Snyk).
 

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.
— 22 business days of paid leave.
— Health Insurance.
— Additional days off for national holidays.

We are the creators of a new fintech era!
Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey.
We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary 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 Data Engineer!

Requirements

— 3+ years of experience as a Data Engineer in high-load or data-driven environments
— Proficient in Python for data processing and automation (pandas, pyarrow, sqlalchemy, etc.)
— Advanced knowledge of SQL: query optimization, indexes, partitions, materialized views
— Hands-on experience with ETL/ELT orchestration tools (e.g., Airflow, Prefect)
— Experience with streaming technologies (e.g., Kafka, Flink, Spark Streaming)
— Solid background in data warehouse solutions: ClickHouse, BigQuery, Redshift, or Snowflake
— Familiarity with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code principles
— Experience with containerization and deployment tools (e.g., Docker, Kubernetes, CI/CD)
— Understanding of data modeling, data versioning, and schema evolution (e.g., dbt, Avro, Parquet)
— English — at least intermediate (for documentation & communication with tech teams)

Responsibilities

— Design, build, and maintain scalable and resilient data pipelines (batch and real-time)
— Develop and support data lake/data warehouse architectures
— Integrate internal and external data sources/APIs into unified data systems
— Ensure data quality, observability, and monitoring of pipelines
— Collaborate with backend and DevOps engineers on infrastructure and deployment
— Optimize query performance and data processing latency across systems
— Maintain documentation and contribute to internal data engineering standards
— Implement data access layers and provide well-structured data for downstream teams

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.
— 22 business days of paid leave.
— Additional days off for national holidays.

We are looking for an Autonomous Systems/Embedded Software Engineer to join a technology company specializing in navigation hardware for aerial vehicles.

The company fosters a fast-paced startup culture with direct communication, a flat hierarchy, and minimal bureaucracy. You will work with people who value the Growth Mindset, embrace challenges, aren’t afraid to learn from mistakes, and focus on finding solutions rather than pointing fingers.

The company actively integrates automation and AI technologies into all company processes to be 10x more efficient, reduce routines, and free up time for creative jobs.

Key responsibilities:

• Lead software R&D and integration of hardware components designed for UAV platforms.
• Move products from the early concept phase to manufacturing, delivery, support, and maintenance.
• Design and build system architecture — from application to infrastructure, prioritizing security and execution speed.
• Write clean, modular, and secure code, providing proper documentation when necessary.
• Drive reliable software delivery through automated testing and deployment pipelines.
• Developing software and hardware in the loop simulations for testing the algorithms before performing actual flights.
• Perform outdoor field tests.
• Work closely with hardware and machine learning teams to ensure real-time data processing.
• Enhance your capabilities with LLM assistants and other automations to multiply your efficiency.

Required skills:

• Continuous learning and a growth mindset.
• Self-agency in conducting research and solving problems.
• Track record of successfully developed products.
• Minimum of 3 years of commercial experience in software development. A combination of low-level programming (C, C++) and high-level programming (Python, Java, JavaScript).
• Fluency with Linux, Docker, and Bash.
• Experience in signal processing.

Preferred qualifications:

• Experience with embedded systems programming and RTOS.
• Programming experience for Ardupilot.
• Experience with MAVLink protocol.
• Data and communication encryption concepts.
• Experience with reliable development tools: static code analyzers, profilers, unit testing, continuous integration/deployment pipelines, version control systems..
• Experience with AWS tools (or other cloud service providers).
• Experience with UAVs, robotics, and RC piloting.

Key measures of success:

• Quality assurance of produced systems and the number of hardware issues in operation
• Accountable roadmap delivery
• Autonomy during task implementation
• Clear documentation

Note! When possible, add a portfolio with your application — include any shareable code examples, app interfaces, product photos, technical docs, system diagrams, or demo videos that show off your skills.

We’re looking for an Applied AI Engineer who combines strong ML fundamentals with the discipline of improving production AI systems through metrics, evaluation, and iteration.

This role is hands-on, product-focused, and collaborative with the AI platform lead.

The role in a nutshell

You’ll work on improving production AI systems through evaluation, experimentation, and system design.

A large part of the role involves:

• diagnosing failures in agent workflows
• designing evaluation metrics and KPIs
• improving system prompts and agent behavior
• running structured experiments and measuring impact

You won’t be working in isolation on research projects — you’ll be improving systems that real users depend on.

Rough responsibility breakdown:

• AI evaluation and KPI design — ~30%
• Prompt and agent system design — ~30%
• ML systems (recommendation, optimization, etc.) — ~30%
• Engineering integration — ~10%

What you’ll work on:AI evaluation and system quality

• Design evaluation strategies for LLM and agent workflows
• Create metrics and KPIs for AI system performance
• Build and maintain evaluation datasets
• Debug production AI failures systematically
• Compare system behavior against baselines

This is a core responsibility of the role.

Multi-agent AI systems

• Improve agent orchestration and workflows
• Diagnose failures across agent pipelines
• Refine system prompts and agent interactions
• Improve reliability, latency, and response quality

ML and AI systems

You’ll contribute to areas such as:

• Recommendation systems (ranking and personalization)
• Itinerary optimization and constraint-based planning
• LLM-based reasoning systems
• Optional: computer vision pipelines

Depth in one of these areas is more important than superficial experience in all of them.

Engineering collaboration

We use:

• Golang (primary production language)
• Python when necessary for ML workflows
• Postgres, Redis, and internal services

You don’t need to be a Go expert on day one, but you should be comfortable reading and modifying production code.

Backend engineers handle infrastructure-heavy service development — your focus is AI system behavior and correctness.

What we’re looking forMust-haves

Strong AI/ML fundamentals You understand the theory behind what you build and can choose appropriate methods for a problem.

Examples:

• evaluation metrics (precision/recall/F1/etc.)
• ranking and recommendation concepts
• embeddings and similarity
• experimentation methodology

Not required:

• academic publications
• advanced theoretical math
• large-scale model training experience

Evaluation-driven mindset You:

• think in metrics and baselines
• design experiments instead of guessing
• measure system improvements quantitatively
• debug failures methodically

This is the most important signal for the role.

Experience with LLM systems You’ve worked with:

• prompt design
• agent workflows
• evaluation of LLM outputs
• production LLM integrations

Ability to ship production systems You can:

• turn ideas into working systems
• iterate based on results
• balance exploration with delivery

Programming ability You’re comfortable writing production code in at least one language (Python, Go, or similar) and learning others when needed.

Strong signals (nice to have)

• Experience improving an AI system after deployment
• Recommendation systems or ranking experience
• Optimization or constraint-based systems
• Computer vision experience
• Experience building evaluation frameworks
• Golang experience
• Startup or small-team engineering experience

This role may not be a fit if

• You are looking for a research focused role without production deployment
• You rely heavily on frameworks without understanding fundamentals
• You’re uncomfortable working with partially-defined problems
• You prefer narrow specialization over product ownership

About the Product:

We power a proprietary, machine-learning-driven platform for programmatic user acquisition and retargeting in the mobile app space. The system processes tens of terabytes of raw data each day and generates millions of ad recommendations in real time. It handles millions of requests per second, delivering low-latency, high-throughput services that directly impact client growth and revenue.

About the Role:

As Full Stack Team Lead, you will own the design, implementation and maintenance of our core real-time ad-serving infrastructure. You will rally a globally distributed team of four engineers behind a shared vision, drive technical direction and ensure high performance, availability and security. This role demands a hands-on leader who spends roughly half their time coding, reviewing designs and guiding end-to-end project delivery, and half their time on team management, sprint planning and stakeholder collaboration.

Key Responsibilities:

• Design, implement and operate large-scale, highly available, real-time (low-latency) services using Node.js, TypeScript, React, Redis and Kubernetes on AWS.
• Lead and mentor a team of four distributed engineers; conduct code reviews, design reviews and knowledge-sharing sessions.
• Collaborate with executives, product managers, data scientists and designers to translate requirements into technical solutions.
• Design, develop and integrate RESTful APIs and third-party services.
• Plan, groom and manage agile sprint cycles; track progress and adjust priorities to meet delivery goals.
• Define and enforce security best practices and data protection policies across services.
• Manage team operations including onboarding, offboarding, performance reviews and hiring support.

Required Competence and Skills:

• 6+ years of professional experience in backend (Node.js preferred) and frontend development (React, Vue or Angular).
• 2+ years in a people-management or team-lead role, with direct experience conducting one-on-ones and performance reviews.
• Proficiency with SQL and NoSQL databases in production environments.
• Experience deploying and operating services on a major cloud platform (AWS, Google Cloud or Azure).
• Deep understanding of the software development lifecycle and agile methodologies.
• Strong problem-solving skills, self-sufficiency and a proactive “can-do” attitude.
• Fluent English communication skills, both written and verbal.

Nice to Have:

• Experience coordinating with offshore development teams.
• Background in web-based SaaS platforms.
• Exposure to large-scale data processing or Big Data technologies.
• Hands-on familiarity with Kubernetes at production scale.

Why Us:

We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in).

We provide full accounting and legal support in all countries we operate.

We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.

We offer a highly competitive package with yearly performance and compensation reviews.

NuxGame works with iGaming operators of all scales helping companies access new markets or enhance their existing brands. As a casino gaming software company, NuxGame provides solutions that allow building outstanding brands and fulfilling your business goals.We are looking for a DevOps Engineer to join our team.

Responsibilities:

• Design, build, and optimize high-load, highly available server-side platforms (Nginx, PHP-FPM, MySQL, Redis, message queues).
• Architect and maintain Kubernetes-based platforms and containerized workloads (Docker, Helm, GitOps).

• Design and operate secure network infrastructure:

  - firewalls (iptables, UFW, security groups, NACLs)

  - reverse proxies and L7/L4 load balancers

• Implement DDoS protection and WAF strategies (Cloudflare, rate-limiting, bot protection).

• Build and maintain observability stack:

   – metrics (VictoriaMetrics, Prometheus)

   – APM (New Relic, OpenTelemetry)

   – centralized logging and alerting

• Design, implement and continuously improve CI/CD pipelines (Jenkins, GitHub Actions).
• Automate infrastructure and platform lifecycle using IaC and configuration management.
• Participate in architecture design, reliability engineering and capacity planning.

• Ensure security, compliance and audit readiness (PCI DSS, secrets management, access control).

   

Experience:

• Strong hands-on Linux expertise (Debian, Ubuntu, systemd, networking, performance tuning).

• Deep experience with AWS:

   – compute (EC2, ASG, EKS)

   – networking (VPC, LB, peering)

   – managed databases (RDS Aurora)

   – messaging (SQS, Kafka).

• Strong database operations knowledge: MySQL HA, replication, backup.
• Production experience with Kubernetes (cluster architecture, HA, upgrades, disaster recovery).
• Advanced CI/CD experience: Jenkins, GitHub Actions, GitOps practices.
• Strong Cloudflare expertise: DNS, CDN, WAF, DDoS protection.
• Infrastructure as Code: Terraform (mandatory), Ansible (configuration and automation).
• Scripting and automation in Bash and Python.
• Solid understanding of networking and security fundamentals (TLS, IAM, VPN, firewalling, zero-trust).

• Experience working in regulated environments or with security standards (PCI DSS is a plus).t

   

What We Offer:
 

We believe that a happy team builds the best products. Here is how we support you:

• Remote & Flexible: Work from anywhere. Our core hours are 09:00/10:00 to 17:00/18:00 (Kyiv time), Mon-Fri.
• Financial Stability: Timely payment for compensation for services
• Personal Equipment Policy: equipment are provided for use to ensure comfortable and efficient work.
• Knowledge Sharing: We regularly gather to discuss new trends, share insights, and elevate one another.
• Community: At NuxGame, you will work in a team of like-minded people who are ready to support, inspire, and tackle complex challenges together.
• Creative Freedom: We encourage initiative. With us, you have the freedom of professional expression and the space to implement your ideas.
• Time-off Policy: 24 vacation days per year + 5 sick days (without medical confirmation).

• Atmosphere: A friendly environment focused on results and mutual respect, free from unnecessary bureaucracy and pressure.

   

We believe in unlocking the inner potential of each team member within an open and democratic culture.

Waiting for you on our team!

We're a US-based entertainment tech company in hyper-growth mode. Our mobile product has found strong product–market fit in North America, and now we're scaling aggressively.

We're looking for a world-class User Acquisition leader to help us grow from $500K to $10M+ in monthly ad spend — profitably.

We are looking for a hands-on Senior User Acquisition Manager to lead and scale paid acquisition across Meta, Snapchat, and TikTok. This role combines strategic ownership with operational execution: you will be responsible for building a scalable acquisition system, driving traffic and profitable growth, and shaping the creative and data-driven strategy for US and Canadian markets.
 

This is not just a managerial role — hands-on execution and the ability to optimize campaigns, budgets, and creative testing frameworks are key.
 

Responsibilities

• Own and scale acquisition campaigns on Meta Ads, Snapchat, and TikTok across the US & Canada.
• Build a systematic and repeatable acquisition engine, including funnels, audiences, and creative testing frameworks.
• Collaborate closely with the Creative Lead and design team.
• Analyze key metrics (LTV, CAC, ROAS, ROMI, ROI) and optimize campaigns for maximum profitability.
• Research competitors and implement best practices for campaign growth.
• Experiment with new channels, technologies, and hypotheses.
• Manage budgets efficiently and structure campaigns for scalable growth.
• Contribute to strategic improvements and growth initiatives within the UA department.
   

Requirements

Must-have

• 2+ years of experience in User Acquisition
• Proven experience running Meta Ads and other paid channels (Snapchat, TikTok).
• Strong track record working with US and Canadian markets.
• Demonstrated ability to scale campaigns profitably.
• Deep understanding of creative testing frameworks and performance optimization mechanics.
• Strong hands-on execution skills and data-driven decision-making.
• Intermediate English.
   

Nice-to-have

• Experience building or restructuring acquisition teams.
• Experience working in high-volume creative environments.
• Familiarity with sweepstakes or subscription-based products.
• Performance-driven mindset with strong accountability for results.
   

Why Join Us?

💰 Big budgets — $500K+/month with a clear path to scale to $10M+ monthly ad spend

📊 Strong analytics infrastructure — dashboards, attribution, and everything you need to make data-driven decisions

🎨 Established creative pipeline — dedicated Creative Lead and design team, no creative bottlenecks

🚀 High autonomy — own your results with direct access to founders and fast decision-making

📈 Real impact — your work directly drives company growth and market expansion