Intobi

Hello everyone 👋

At Intobi, we're a software and product development company passionate about driving innovation and progress.

We help our clients succeed by delivering custom-built tech solutions designed to meet their unique needs.

Our expertise lies in developing cutting-edge Web and Mobile applications.

We are looking for a Middle Automation QA Engineer to join our team in Poland. The role will primarily focus on API testing (80%) with UI testing (20%). You will help design, enhance, and maintain automation frameworks, ensuring efficient and scalable testing.

Key Responsibilities:

— Contribute to designing and improving automation testing strategies.

— Develop and maintain automation frameworks for API, UI, and LLM validation.

— Ensure scalability, maintainability, and reusability of automation code.

— API Testing: Develop automated API tests in Python using the Requests library.

— UI Testing: Create and maintain UI tests with Playwright.

— Integrate automated tests with Postman collections where applicable.

— Execute performance, regression, and functional tests.

— Integrate automation tests into CI/CD pipelines (Jenkins preferred).

— Work with Docker and Kubernetes to manage and scale test environments.

— Collaborate with developers, QA, and DevOps teams to improve the QA process.

— Write test plans, strategies, and design documents.

— Track issues using Jira and manage test cases (Xray optional).

— Analyze logs, investigate failures, and troubleshoot in staging and production.

Required Skills:

— 5 years of experience in test automation or a related QA role.

— Strong programming skills in Python.

— Solid experience in API automation (Requests library) and UI automation (Playwright).

— Experience with CI/CD tools (Jenkins preferred).

— Experience with Docker & Kubernetes for test environments.

— Strong analytical, problem-solving, and debugging skills.

— Experience with Jira for tracking and reporting.

— Ability to work independently and proactively in a fast-paced environment.

Nice to Have:

— Experience with Kafka.

— Familiarity with X-ray for test management.

— Knowledge of AWS cloud services.

Please send your CV here or via email

Should the first stage be successfully completed, you’ll be invited to a personal interview.

Hello everyone 👋

At Intobi, we're a software and product development company passionate about driving innovation and progress.

We help our clients succeed by delivering custom-built tech solutions designed to meet their unique needs.

Our expertise lies in developing cutting-edge Web and Mobile applications.

We are seeking an experienced Mid/Mid+ Data Scientist with expertise in Large Language Models (LLMs) such as GPT, Claude, and related technologies. The ideal candidate will have a strong background in natural language processing (NLP), machine learning, and deep learning models. They will play a critical role in developing and deploying cutting-edge LLM applications to drive innovation across our product lines.

Responsibilities:

‌

— Design, develop, and optimize Large Language Models for various NLP tasks such as text generation, summarization, translation, and question-answering

— Conduct research and experiments to push the boundaries of LLM capabilities and performance

— Collaborate with cross-functional teams (engineering, product, research) to integrate LLMs into product offerings

— Develop tools, pipelines and infrastructure to streamline LLM training, deployment and monitoring

— Analyze and interpret model outputs, investigate errors/anomalies, and implement strategies to improve accuracy

— Stay current with the latest advancements in LLMs, NLP and machine learning research

— Communicate complex technical concepts to both technical and non-technical stakeholders

Requirements:

‌

— MS or PhD degree in Computer Science, Data Science, AI, or a related quantitative field

— 2-3+ years of hands-on experience developing and working with deep learning models, especially in NLP/LLMs

— Expert knowledge of Python, PyTorch, TensorFlow, and common deep learning libraries

— Strong understanding of language models, attention mechanisms, transformers, sequence-to-sequence modeling

— Experience training and fine-tuning large language models

— Experience with classical ML models - XGBoost, LightGBM

— Proficiency in model deployment, optimization, scaling, and serving

— Excellent problem-solving, analytical, and quantitative abilities

— Strong communication skills to present technical information clearly

— Ability to work collaboratively in a team environment

— Fluency in Ukrainian and English

Preferred:

— Research experience in LLMs, NLP, machine learning

— Experience working with multi-modal data (text, image, audio)

— Knowledge of cloud platforms like AWS, GCP for model training

— Understanding of MLOps and production ML workflows

— Background in information retrieval, knowledge graphs, reasoning

Please send your CV here or via email

Should the first stage be successfully completed, you’ll be invited to a personal interview.

Hello everyone 👋

At Intobi, we're a software and product development company passionate about driving innovation and progress.

We help our clients succeed by delivering custom-built tech solutions designed to meet their unique needs.

Our expertise lies in developing cutting-edge Web and Mobile applications.

We are seeking a proactive Python Developer with at least 3 years of experience to join our engineering team. You will be responsible for the full lifecycle of data-driven applications, from building robust backend APIs to designing and maintaining complex data pipelines. The ideal candidate thrives in a DevOps-cultured environment and is eager to work with modern orchestration and cloud technologies.

Core Responsibilities:

— Data Pipeline Management: Develop, optimize, and maintain scalable data pipelines to ensure high-quality data flow.

— API Development: Build and maintain high-performance backend APIs using FastAPI.

— System Reliability: Proactively identify bottlenecks and improve system stability within existing infrastructures.

— Collaboration: Work closely with cross-functional teams to integrate AWS services and workflow orchestration tools into the production environment.

Required Qualifications:

— Experience: 3+ years of professional Python development experience.

— Databases: Strong proficiency in both SQL and NoSQL database design and management.

— DevOps Tools: Hands-on experience with Docker, CI/CD pipelines, and Git version control.

— Frameworks: Proven experience building applications with FastAPI.

— Cloud & Orchestration: Practical experience with AWS services and familiarity with Airflow (or similar workflow orchestration tools).

— Communication: Upper-Intermediate level of English (written and spoken) for effective team collaboration.

Preferred Skills (Nice to Have):

— Experience within the Financial Domain.

— Hands-on experience with Apache Spark and complex ETL pipelines.

— Knowledge of container orchestration using Kubernetes.

— Exposure to or interest in Large Language Models (LLMs) and AI integration.

Please send your CV here or via email

Should the first stage be successfully completed, you’ll be invited to a personal interview.

Hello everyone 👋

At Intobi, we're a software and product development company passionate about driving innovation and progress.

We help our clients succeed by delivering custom-built tech solutions designed to meet their unique needs.

Our expertise lies in developing cutting-edge Web and Mobile applications.

We are looking for a Middle Automation QA Engineer to join our team in Poland. The role will primarily focus on API testing (80%) with UI testing (20%). You will help design, enhance, and maintain automation frameworks, ensuring efficient and scalable testing.

Key Responsibilities:

— Contribute to designing and improving automation testing strategies.

— Develop and maintain automation frameworks for API, UI, and LLM validation.

— Ensure scalability, maintainability, and reusability of automation code.

— API Testing: Develop automated API tests in Python using the Requests library.

— UI Testing: Create and maintain UI tests with Playwright.

— Integrate automated tests with Postman collections where applicable.

— Execute performance, regression, and functional tests.

— Integrate automation tests into CI/CD pipelines (Jenkins preferred).

— Work with Docker and Kubernetes to manage and scale test environments.

— Collaborate with developers, QA, and DevOps teams to improve the QA process.

— Write test plans, strategies, and design documents.

— Track issues using Jira and manage test cases (Xray optional).

— Analyze logs, investigate failures, and troubleshoot in staging and production.

Required Skills:

— 5 years of experience in test automation or a related QA role.

— Strong programming skills in Python.

— Solid experience in API automation (Requests library) and UI automation (Playwright).

— Experience with CI/CD tools (Jenkins preferred).

— Experience with Docker & Kubernetes for test environments.

— Strong analytical, problem-solving, and debugging skills.

— Experience with Jira for tracking and reporting.

— Ability to work independently and proactively in a fast-paced environment.

Nice to Have:

— Experience with Kafka.

— Familiarity with Xray for test management.

— Knowledge of AWS cloud services.

Please send your CV here or via email

Should the first stage be successfully completed, you’ll be invited to a personal interview.

Hello everyone 👋

At Intobi, we're a software and product development company passionate about driving innovation and progress.

We help our clients succeed by delivering custom-built tech solutions designed to meet their unique needs.

Our expertise lies in developing cutting-edge Web and Mobile applications.

We are seeking an experienced Mid/Mid+ Data Scientist with expertise in Large Language Models (LLMs) such as GPT, Claude, and related technologies. The ideal candidate will have a strong background in natural language processing (NLP), machine learning, and deep learning models. They will play a critical role in developing and deploying cutting-edge LLM applications to drive innovation across our product lines.

Responsibilities:

‌

— Design, develop and optimize Large Language Models for various NLP tasks such as text generation, summarization, translation, and question-answering

— Conduct research and experiments to push the boundaries of LLM capabilities and performance

— Collaborate with cross-functional teams (engineering, product, research) to integrate LLMs into product offerings

— Develop tools, pipelines and infrastructure to streamline LLM training, deployment and monitoring

— Analyze and interpret model outputs, investigate errors/anomalies, and implement strategies to improve accuracy

— Stay current with the latest advancements in LLMs, NLP and machine learning research

— Communicate complex technical concepts to both technical and non-technical stakeholders

Requirements:

‌

— MS or PhD degree in Computer Science, Data Science, AI, or a related quantitative field

— 2-3+ years of hands-on experience developing and working with deep learning models, especially in NLP/LLMs

— Expert knowledge of Python, PyTorch, TensorFlow, and common deep learning libraries

— Strong understanding of language models, attention mechanisms, transformers, sequence-to-sequence modeling

— Experience training and fine-tuning large language models

— Experience with classical ML models - XGBoost, LightGBM

— Proficiency in model deployment, optimization, scaling and serving

— Excellent problem-solving, analytical and quantitative abilities

— Strong communication skills to present technical information clearly

— Ability to work collaboratively in a team environment

— Fluency in Ukrainian and English

Preferred:

— Research experience in LLMs, NLP, machine learning

— Experience working with multi-modal data (text, image, audio)

— Knowledge of cloud platforms like AWS, GCP for model training

— Understanding of MLOps and production ML workflows

— Background in information retrieval, knowledge graphs, reasoning

Please send your CV here or via email

Should the first stage be successfully completed, you’ll be invited to a personal interview.

Hello everyone 👋

At Intobi, we're a software and product development company passionate about driving innovation and progress.

We help our clients succeed by delivering custom-built tech solutions designed to meet their unique needs.

Our expertise lies in developing cutting-edge Web and Mobile applications.

We are seeking a proactive Python Developer with at least 3 years of experience to join our engineering team. You will be responsible for the full lifecycle of data-driven applications, from building robust backend APIs to designing and maintaining complex data pipelines. The ideal candidate thrives in a DevOps-cultured environment and is eager to work with modern orchestration and cloud technologies.

Core Responsibilities:

— Data Pipeline Management: Develop, optimize, and maintain scalable data pipelines to ensure high-quality data flow.

— API Development: Build and maintain high-performance backend APIs using FastAPI.

— System Reliability: Proactively identify bottlenecks and improve system stability within existing infrastructures.

— Collaboration: Work closely with cross-functional teams to integrate AWS services and workflow orchestration tools into the production environment.

Required Qualifications:

— Experience: 3+ years of professional Python development experience.

— Databases: Strong proficiency in both SQL and NoSQL database design and management.

— DevOps Tools: Hands-on experience with Docker, CI/CD pipelines, and Git version control.

— Frameworks: Proven experience building applications with FastAPI.

— Cloud & Orchestration: Practical experience with AWS services and familiarity with Airflow (or similar workflow orchestration tools).

— Communication: Upper-Intermediate level of English (written and spoken) for effective team collaboration.

Preferred Skills (Nice to Have):

— Experience within the Financial Domain.

— Hands-on experience with Apache Spark and complex ETL pipelines.

— Knowledge of container orchestration using Kubernetes.

— Exposure to or interest in Large Language Models (LLMs) and AI integration.

Please send your CV here or via email

Should the first stage be successfully completed, you’ll be invited to a personal interview.

Hello everyone 👋

At Intobi, we're a software and product development company passionate about driving innovation and progress.

We help our clients succeed by delivering custom-built tech solutions designed to meet their unique needs.

Our expertise lies in developing cutting-edge Web and Mobile applications.

We’re hiring a Cloud DevOps Engineer to drive the design, automation, and reliability of our multi-cloud infrastructure. This is a key role in a fast-paced startup environment, where you’ll play a critical part in building, managing, and securing our cloud-native platform across AWS, Azure, and GCP.

Cyngular is an Israeli cybersecurity company focused on cloud investigation and automated incident response. The platform helps security teams detect, investigate, and respond to complex threats across AWS, Azure, and GCP

Role Overview:

As a Cloud DevOps Engineer, you will be responsible for implementing CI/CD pipelines, managing infrastructure as code, automating cloud operations, and ensuring high availability and security across environments. You’ll work closely with development, security, and data teams to enable fast, reliable, and secure deployments.

Key Responsibilities:

—  Design, build, and maintain infrastructure using Terraform, CloudFormation, or Bicep.

—  Manage CI/CD pipelines (GitHub Actions, GitLab CI, Azure DevOps, etc.) across multiple cloud platforms.

—  Automate provisioning and scaling of compute, storage, and networking resources in AWS, Azure, and GCP.

—  Implement and maintain monitoring, logging, and alerting solutions (CloudWatch, Stackdriver, Azure Monitor, etc.).

—  Harden environments according to security best practices (IAM, service principals, KMS, firewall rules, etc.).

—  Support cost optimization strategies and resource tagging/governance.

—  Collaborate with engineers to streamline developer workflows and cloud-based deployments.

Required Skills:

—  4+ years of experience in DevOps, Site Reliability Engineering, or Cloud Engineering.

—  Hands-on experience with at least two major cloud providers (AWS, Azure, GCP); familiarity with the third.

—  Proficiency in infrastructure as code (Terraform required; CloudFormation/Bicep is a plus).

—  Experience managing containers and orchestration platforms (EKS, AKS, GKE, or Kubernetes).

—  Strong knowledge of CI/CD tooling and best practices.

—  Familiarity with secrets management, role-based access controls, and audit logging.

—  Proficiency in scripting with Python, Bash, or PowerShell.

The position requires a high level of English — reading, writing, and speaking.

This role is not suitable for juniors or those with little to no experience.

We’re looking for professional DevOps engineers who are passionate about technology and tools, and who aren’t afraid to take on significant responsibilities, including self-directed learning.

Please send your CV here or via email

Should the first stage be successfully completed, you’ll be invited to a personal interview.

Hello everyone 👋

At Intobi, we're a software and product development company passionate about driving innovation and progress.

We help our clients succeed by delivering custom-built tech solutions designed to meet their unique needs.

Our expertise lies in developing cutting-edge Web and Mobile applications.

We’re hiring a Cloud DevOps Engineer to drive the design, automation, and reliability of our multi-cloud infrastructure. This is a key role in a fast-paced startup environment, where you’ll play a critical part in building, managing, and securing our cloud-native platform across AWS, Azure, and GCP.

Cyngular is an Israeli cybersecurity company focused on cloud investigation and automated incident response. The platform helps security teams detect, investigate, and respond to complex threats across AWS, Azure, and GCP

Role Overview:

As a Cloud DevOps Engineer, you will be responsible for implementing CI/CD pipelines, managing infrastructure as code, automating cloud operations, and ensuring high availability and security across environments. You’ll work closely with development, security, and data teams to enable fast, reliable, and secure deployments.

Key Responsibilities:

—  Design, build, and maintain infrastructure using Terraform, CloudFormation, or Bicep.

—  Manage CI/CD pipelines (GitHub Actions, GitLab CI, Azure DevOps, etc.) across multiple cloud platforms.

—  Automate provisioning and scaling of compute, storage, and networking resources in AWS, Azure, and GCP.

—  Implement and maintain monitoring, logging, and alerting solutions (CloudWatch, Stackdriver, Azure Monitor, etc.).

—  Harden environments according to security best practices (IAM, service principals, KMS, firewall rules, etc.).

—  Support cost optimization strategies and resource tagging/governance.

—  Collaborate with engineers to streamline developer workflows and cloud-based deployments.

Required Skills:

—  4+ years of experience in DevOps, Site Reliability Engineering, or Cloud Engineering.

—  Hands-on experience with at least two major cloud providers (AWS, Azure, GCP); familiarity with the third.

—  Proficiency in infrastructure as code (Terraform required; CloudFormation/Bicep is a plus).

—  Experience managing containers and orchestration platforms (EKS, AKS, GKE, or Kubernetes).

—  Strong knowledge of CI/CD tooling and best practices.

—  Familiarity with secrets management, role-based access controls, and audit logging.

—  Proficiency in scripting with Python, Bash, or PowerShell.

The position requires a high level of English — reading, writing, and speaking.

This role is not suitable for juniors or those with little to no experience.

We’re looking for professional DevOps engineers who are passionate about technology and tools, and who aren’t afraid to take on significant responsibilities, including self-directed learning.

Please send your CV here or via email

Should the first stage be successfully completed, you’ll be invited to a personal interview.