Python MCP Engineer

🏢 Summary: The offer is for an Automated QA Engineer focused on Python-based test automation within a large-scale digital ecosystem supporting e-commerce, mobile apps, and related platforms. The role involves building and maintaining test automation frameworks, performing API and database testing, and contributing to continuous improvement of QA processes. Over time, it provides growth toward broader development responsibilities and mobile QA. 🗂️ Requirements: 2+ years of experience in Automated QA, Strong Python proficiency, Experience with pytest, requests, pandas, Experience with API testing, Experience with DB testing, Knowledge of REST services, Experience with GitLab pipelines, Familiarity with Azure cloud services, Experience with Allure reporting, English level B2 or higher 📃 Skills: Python, pytest, requests, pandas, REST, API, SQL, GitLab, Azure, Allure 🏢 Description: Make retail great again through the power of technology! Intellias helps retailers provide consistent and customer-centric shopping experiences across all channels with disruptive retail tech solutions. Get on board and make your own contribution to the industry! What project we have for you Our client is the fastest-growing global manufacturing company. An international corporation with over a hundred years of history, internationally recognized brands and Reduced-Risk Products. Intellias’ mission is to support its strategy and efforts in the Digital and e-commerce space (e-commerce and other apps mobile apps, payment gateways, loyalty system, search engine, employee management, identity management, etc.). A newly conceptualized Digital Eco System is comprised of a set of capabilities including an online shop & website, linking online & offline, customization & personalization, engagement & membership, digital product & services main differences. The role will primarily focus on Automated QA using Python, with a gradual path toward broader development responsibilities and MQA. What you will do Collaborate with team members to identify testing needs and prioritize them Contribute to the development of a Test Automation Framework and infrastructure for automated testing Develop and execute automated test scripts to validate software functionality and reliability Analyze test results and provide regular test reports Debug and troubleshoot issues that arise during testing Participate in continuous improvements, including platform tooling and processes, implementing best practices, and bringing on innovations What you need for this 2+ years of experience in AQA Strong Python skills (pytest, requests, pandas) Experience with API & DB testing Knowledge of REST services Experience with GitLab pipelines Familiarity with Azure cloud services Allure reporting Strong analytical and problem-solving skills English level: B2 Nice to Have Adobe Campaign (ACC) experience JavaScript knowledge What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

🏢 Summary: The offer is for an experienced DevOps Engineer to design, build, and optimize scalable cloud-native infrastructure and CI/CD ecosystems for large-scale, globally distributed enterprise systems. The role focuses on automation, reliability, monitoring, and continuous delivery across modern cloud platforms. You will collaborate with engineering and operations teams to modernize and maintain highly available cloud environments. 🗂️ Requirements: 5+ years experience in DevOps or software engineering for scalable distributed systems, Strong experience with Google Cloud Platform (GCP), Strong experience with Microsoft Azure, Hands-on experience with AKS, VNET, Key Vault, Application Insights, Logic Apps, Storage Accounts, Function Apps, Experience with CI/CD tools such as GitHub Actions or Azure DevOps, Experience with infrastructure automation, Experience with monitoring and logging solutions, Experience working in Agile environments, Strong troubleshooting and problem-solving skills, Understanding of security and operational best practices 📃 Skills: GCP, Azure, AKS, VNET, KeyVault, ApplicationInsights, LogicApps, StorageAccounts, FunctionApps, GitHubActions, AzureDevOps, CI/CD, Kubernetes, IaC, Monitoring, Logging, Cloud, DevOps 🏢 Description: With over 20 years of market experience, Intellias brings together technologists, creators, and innovators across Europe, North and Latin America, and the Middle East. Join our international team and help solve the advanced technology challenges of tomorrow. We are looking for an experienced DevOps Engineer who is passionate about building scalable cloud infrastructure, automating delivery processes, and improving system reliability in large-scale enterprise environments. In this role, you will work closely with engineering and operations teams to design, maintain, and optimize modern cloud-native infrastructure and CI/CD ecosystems supporting globally distributed systems. Project Overview Our client is a leading multi-brand technology solutions provider serving business, government, education, and healthcare customers across the United States, the United Kingdom, and Canada. A Fortune 500 company and member of the S&P 500 Index, the client was founded in 1984 and employs approximately 10,000 coworkers worldwide. Together with Intellias, the client is building and modernizing enterprise-scale platforms and cloud infrastructure supporting highly available, globally distributed systems. Responsibilities Design, build, and maintain CI/CD pipelines and infrastructure supporting continuous integration, delivery, and deployment Collaborate closely with development and operations teams to ensure high-quality, reliable, and efficient software delivery Automate manual operational processes, including testing, deployments, monitoring, and infrastructure management Develop and maintain monitoring, logging, and alerting solutions to proactively identify and resolve production issues Troubleshoot complex production incidents, perform root cause analysis, and implement long-term remediation plans Manage and optimize cloud infrastructure resources to ensure scalability, reliability, performance, and cost-efficiency Implement security best practices and support compliance with industry standards and regulations Continuously improve platform stability, automation, and operational efficiency Stay up to date with emerging DevOps technologies and industry best practices Requirements 5+ years of hands-on experience in software engineering or DevOps for highly scalable, highly available, globally distributed systems Strong experience with cloud platforms, particularly Google Cloud Platform (GCP) and Microsoft Azure Hands-on experience with Azure services, including: AKS VNET Key Vault Application Insights Logic Apps Storage Accounts Function Apps Experience with DevOps and CI/CD tooling such as GitHub Actions, Azure DevOps, or similar platforms Strong understanding of infrastructure automation and cloud-native environments Experience with monitoring, logging, and observability solutions Proven track record of delivering solutions in Agile environments Strong troubleshooting and problem-solving skills Good understanding of security and operational best practices Nice to Have Experience with Infrastructure-as-Code tools Experience working with Kubernetes and containerized environments Exposure to enterprise-scale cloud modernization initiatives Knowledge of cost optimization and cloud governance practices Perks and Benefits: Flexible work schedule Fixed financial bonus issued upfront on a quarterly basis, covering the average market price of private medical care and sport card - B2B contract Present on the occasion of birthday, wedding, child birth E-learning accounts for Coursera, O'Relly, Udemy Corporate language school This is an exciting opportunity to join a large-scale international project and contribute to building modern, reliable, and scalable cloud infrastructure solutions.

🏢 Summary: Development of scalable, cloud-based backend systems for industrial data and services using modern microservices and event-driven architectures. The role focuses on building Spring Boot microservices, streaming data pipelines, and robust APIs deployed on AWS. You will own features end-to-end, ensuring reliability, performance, and high-quality engineering practices in a distributed environment. 🗂️ Requirements: 6+ years backend development with Java 21, Spring Boot 3.x, Docker in production, 2+ years backend development with Kotlin in production, Hands-on experience with AWS core services and cloud-native development, Strong experience with microservices, MVC, event-driven architectures, Strong experience with JPA and Hibernate, Advanced database design and optimization with PostgreSQL and DynamoDB, Experience building event-driven systems with Kafka or Kinesis, Test automation using JUnit and Cucumber, Experience with GitHub Actions or similar CI/CD tools, Ability to design, deploy, and maintain distributed systems in production, English communication skills and availability overlapping US Central Time 📃 Skills: Java, Kotlin, Spring, SpringBoot, Docker, AWS, PostgreSQL, DynamoDB, Kafka, Kinesis, JPA, Hibernate, JUnit, Cucumber, GitHub, CI/CD, Microservices, MVC 🏢 Description: Drivers of change, it’s your time to pave new ways. Intellias, a leading software provider in the automotive industry, invites you to develop the future of driving. Join the team and create products used by millions of people in the world. Intellias is partnering with a Fortune 100, Midwest-based industrial manufacturer to modernize and expand a suite of cloud-based services and data products used by a global network of dealers, enterprise customers, and internal business units. Our cross-functional teams deliver scalable APIs, event-driven services, and analytics pipelines that power quoting, ordering, asset telemetry, diagnostics, and lifecycle support for heavy equipment in the field. Responsibilities: Design, develop, and maintain scalable Spring Boot -based microservices in a distributed architecture Build and operate event-driven data processing pipelines , including ingestion, transformation, and enrichment of streaming data Develop and maintain robust APIs for internal and external consumers Work with AWS cloud services to design and support reliable, scalable backend systems Design, optimize, and maintain PostgreSQL and DynamoDB schemas, ensuring performance and data integrity Implement and maintain automated testing strategies (unit and integration) Contribute to and maintain GitHub Actions pipelines Ensure system reliability through monitoring, logging, and observability best practices Collaborate effectively in a distributed team, communicating progress, risks, and dependencies Take ownership of features end-to-end, from design through deployment and production support Maintain clear technical documentation and promote engineering best practices Requirements: 6+ years of experience designing, developing, deploying, and maintaining backend services and distributed systems in production using Java 21 , Spring Boot 3.x , Docker 2+ years of experience designing, developing, deploying, and maintaining backend services and distributed systems in production using Kotlin Strong ownership and self-management in a fast-paced Agile environment, with the ability to independently deliver end-to-end solutions, resolve blockers, and communicate effectively in English Hands-on experience with AWS (core services and cloud-native development) Strong experience with microservices , MVC , and event-driven architectures Strong experience with JPA / Hibernate Strong database design skills with PostgreSQL (advanced SQL) and DynamoDB , including schema design, optimization, and performance tuning Experience building and operating event-driven systems (e.g., Kafka , Kinesis ) Solid test automation experience using JUnit and Cucumber Hands-on experience with GitHub Actions and/or similar CI/CD tools Ability to provide 6 hours overlap with US Central Time (CT) on business days (till 2 pm CT latest) Perks and Benefits: Flexible work schedule Fixed financial bonus issued upfront on a quarterly basis, covering the average market price of private medical care and sport card - B2B contract Present on the occasion of birthday, wedding, child birth E-learning accounts for Coursera, O'Relly, Udemy Corporate language school

🏢 Summary: The offer is for a Senior Python Developer to design and build cloud-native, AI-driven applications and data platforms using Python and AWS. The role focuses on developing mission-critical services that integrate with AI cloud platforms and support enterprise AI ecosystems. It involves working with modern AI infrastructure, ensuring high code quality, and contributing to agile, cross-functional teams. 🗂️ Requirements: 5+ years of experience in Python web development, Very good knowledge of REST API design and implementation, Hands-on experience with unit and integration testing, Practical experience with AWS services (Lambda, S3, API Gateway, DynamoDB), Very good knowledge of Terraform, Strong understanding of Continuous Integration processes, Experience working in Agile methodologies, Ability to gather and interpret business requirements, B2+/C1 level in English and Polish 📃 Skills: Python, FastAPI, AWS, Lambda, S3, APIGateway, DynamoDB, Terraform, REST, CI, UnitTesting, IntegrationTesting, Bedrock, Azure, VertexAI, LLM, MCP 🏢 Description: At Grape Up, we’re all about leveraging technology to drive software innovation. We’re on the lookout for a talented Python Cloud AI Engineer to join us in this mission. We partner with industry leaders in the automotive and aviation to build sophisticated Data & Analytics platforms that support production machine learning and AI use cases. As part of our team, you’ll have the opportunity to design and implement mission-critical services that handle everything from AI model governance to MCP gateway. Your work will integrate with key systems, forming the backbone of an entire AI enterprise ecosystem. Responsibilities Design and build cloud-native applications using Python with FastAPI and AWS services Integrate with various AI cloud services (like AWS Bedrock, Azure Foundry or Google Vertex AI) Design and operate modern AI infrastructure that brings frontier LLMs, MCP, and agentic capabilities into the hands of every developer and user in the company. Ensure the code is robust, clean, and well-tested with unit and integration tests Participate in code reviews, share knowledge, and collaborate with an international, cross-functional team Be an active participant in agile ceremonies and drive every sprint to success Drive team efficiency by bringing in effective tools, refining processes, and offering technical mentorship Requirements Proficiency in Python for web development (5+ years) Very good knowledge of REST API Hands-on experience with unit and integration testing, and mocking libraries Practical experience with AWS services (e.g. Lambda, S3, API Gateway, DynamoDB) Very good knowledge of Terraform Very good understanding of Continuous Integration processes and their importance Very good understanding of software development methodologies and agile Ability to gather and interpret business requirements and UX aspects effectively Good command of English and Polish (B2+/C1) Strong communication skills Nice to have Experience with microservices architecture, including design, implementation, and maintenance Experience with AI platforms and services Knowledge of building tools (Webpack) Experience with writing automation tests Benefits of joining Grape Up Non-corporate work environment among experienced engineers Individual growth & development plan supported by cyclical feedback sessions Access to knowledge platforms (e.g. Pluralsight) Equipment of your choice Financing of conferences, external trainings, and certifications Language lessons (English, German and Polish for foreigners) LuxMed private medical care Weekly Lunch & Learn where we meet up in the office, lunch together, and share our knowledge Employee referral program Rewards for the success of the month and year awarded by our employees Special rewards for your years with us (G-Man) Integration activities

🏢 Summary: The offer is for a senior GenAI/ML Platform Architect to design and scale an enterprise Digital Ecosystem focused on e-commerce and digital services. The role centers on building and governing RAG-based and agentic AI platforms, establishing LLMOps practices, and enabling secure, compliant, and cost-efficient AI solutions in a global environment. The candidate will lead architecture, lifecycle standards, and integration of multi-agent systems across cloud-native infrastructure. 🗂️ Requirements: 5+ years in MLOps or platform architecture with delivered AI systems, Proficient in Python, Experience with at least one major cloud provider (AWS, Azure, or GCP), Hands-on experience with containers and Kubernetes, Experience with Infrastructure-as-Code tools, Designing scalable ML pipelines for training and deployment, Proven CI/CD implementation for ML/GenAI systems, Experience with RAG architectures and vector databases, Experience with agent orchestration frameworks, Operationalizing multi-agent systems with guardrails and human-in-the-loop, Process automation and enterprise system integrations, Upper-intermediate English level 📃 Skills: Python, AWS, Azure, GCP, Kubernetes, Terraform, CI/CD, MLOps, LLMOps, RAG, LangGraph, SemanticKernel, MCP, VectorDB, Docker, IaC 🏢 Description: Make retail great again through the power of technology! Intellias helps retailers provide consistent and customer-centric shopping experiences across all channels with disruptive retail tech solutions. Get on board and make your own contribution to the industry! Project Overview: Our client is the fastest-growing global manufacturing company. An international corporation with over a hundred years of history, internationally recognized brands and Reduced-Risk Products. Intellias' mission is to support its strategy and efforts in the Digital and e-commerce space (e-commerce and other apps mobile apps, payment gateways, loyalty system, search engine, employee management, identity management, etc.). A newly conceptualized Digital Eco System is comprised of a set of capabilities including an online shop & website, linking online & offline, customization & personalization, engagement & membership, digital product & services main differences. Responsibilities: Lead discovery with stakeholders and define adoption roadmaps and reference architectures Set lifecycle practices for GenAI (LLMOps) Architect retrieval and provider layers (RAG, vector stores, model gateways) with portability, cost, and compliance in mind Implement RAG/agent workflows that orchestrate tool-calling, retrieval, and grounded answering Enable agentic applications at platform level and define solution patterns and evaluation gates (standardized tools, routing, shared memory, HIL, safe fallbacks) aligned with enterprise integration, security, and cost Set standards for ingestion, chunking, embedding, and indexing pipelines; select and tune vector databases for retrieval Establish CI/CD, Infrastructure-as-Code, observability, and automated testing Define governance and safety guardrails Establish environment strategy and promotion paths, and a clear handover plan to client teams Package reusable patterns/accelerators, mentor engineers, and support presales and proposals Requirements: 5+ years in MLOps/platform architecture or adjacent roles, with shipped AI systems Proficient Python and strong software engineering principles Deep experience with at least one major cloud (AWS/Azure/GCP) and platform engineering (containers, Kubernetes, IaC such as Terraform) Experience in designing and guiding scalable machine learning pipelines for model training, validation, and deployment Proven CI/CD design for GenAI/ML (evaluation gates, versioning, canary, rollback) and collaboration with security/governance stakeholders Sound judgement selecting RAG/vector and provider stacks based on performance, cost, compliance, and portability Agent orchestration frameworks (e.g., LangGraph/Semantic Kernel) and tooling protocols (e.g., MCP) Experience operationalizing multi-agent systems (tools/routing/memory/guardrails, human-in-the-loop) Process automation and enterprise integrations Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams, stakeholders' leadership Upper-intermediate level of English Nice to have: Master or higher degree in Computer Science, Engineering, or related field On-prem LLM deployments; performance and cost tuning with caching and model routing AI safety, policy, and compliance experience in sensitive environments Public speaking and enablement and building reusable accelerators Domain exposure in automotive, retail, manufacturing, healthcare, energy, finance, or telecom Perks and Benefits: Flexible work schedule Fixed financial bonus issued upfront on a quarterly basis, covering the average market price of private medical care and sport card - B2B contract Present on the occasion of birthday, wedding, child birth E-learning accounts for Coursera, O'Relly, Udemy Corporate language school

🏢 Summary: The offer is for a backend-focused AI Engineer role building a modern AI platform for business process automation and multi-agent system integration in a production-grade enterprise environment. The position centers on developing scalable Python-based services, secure API integrations, and cloud-native AI solutions using LLMs and RAG. The role involves designing robust, secure, and scalable architectures deployed on AWS or Azure with containerized infrastructure. 🗂️ Requirements: Extensive experience in backend development with Python in production environments, Hands-on experience with AI Agents, RAG, MCP, or LLM-based solutions, Experience with system integrations and API architecture, Experience with scalable cloud-based applications, Experience with AWS or Azure, Experience with Docker and Kubernetes, Experience designing secure and scalable enterprise solutions, Experience with multi-agent systems and workflow automation, Ability to conduct code reviews and mentor developers, Fluent English and Polish 📃 Skills: Python, LLM, RAG, MCP, AWS, Azure, Docker, Kubernetes, API, Microservices, Cloud, AI, Agents 🏢 Description: Additional information The project focuses on building and developing a modern AI platform supporting business process automation and the integration of intelligent agents with enterprise systems. The team is creating scalable solutions based on Python, cloud technologies, and multi-agent architecture, leveraging technologies such as LLMs, RAG, and advanced workflow automation. A key aspect of the project is designing secure integrations between AI platforms, internal systems, and external APIs within a production-grade environment. The project is delivered in an international technology-driven environment with a strong focus on innovation, high-quality architecture, and the development of cutting-edge AI solutions for a global industrial organization. You’re ideal for this role if you: Have extensive experience in backend development with Python in production environments Have hands-on experience with AI technologies such as AI Agents, RAG, MCP, or LLM-based solutions Understand system integrations, API architecture, and scalable cloud-based applications Have worked with AWS or Azure and containerized environments such as Docker and Kubernetes Are experienced in designing secure and scalable enterprise solutions Have strong problem-solving skills and can proactively remove technical blockers Enjoy working closely with cross-functional teams in an international environment Have experience mentoring developers, conducting code reviews, and promoting engineering best practices Are interested in modern AI architectures, workflow automation, and multi-agent systems Communicate fluently in English and Polish and feel comfortable working in a global setup Your day-to-day responsibilities include:​ Designing and developing scalable backend services and AI-driven integration solutions in Python Building and maintaining APIs, connectors, and middleware between AI platforms and enterprise systems Creating and optimizing multi-agent workflows and intelligent automation processes Collaborating with AI Engineers, Data Engineers, and other technical stakeholders on system architecture and integrations Integrating external AI platforms, internal tools, and cloud services into production environments Working with cloud technologies and containerized infrastructure in AWS or Azure environments Improving the quality, reliability, and performance of AI-powered solutions and LLM-based workflows Conducting code reviews, mentoring team members, and supporting engineering best practices Troubleshooting technical issues, identifying bottlenecks, and driving continuous improvements Contributing to technical documentation, architecture discussions, and innovation initiatives across the team

🏢 Summary: Hands-on DevOps Engineer role focused on designing and implementing CI/CD, Infrastructure as Code and GitOps practices within an Azure-based environment. The position centers on automation, secure pipeline delivery and standardizing DevOps practices using GitHub and Azure DevOps. You will enable developer self-service, improve release automation and ensure scalable, compliant cloud infrastructure deployments. 🗂️ Requirements: Strong hands-on experience with GitHub Actions, Strong hands-on experience with Azure DevOps Pipelines, Strong experience designing and implementing CI/CD pipelines, Practical experience with Infrastructure as Code using Bicep, Experience with GitOps principles and version-controlled workflows, Strong knowledge of Azure cloud services, Understanding of Azure identity and access management, Experience with secrets management and pipeline security, Experience implementing DevOps practices across multiple teams, Ability to troubleshoot pipelines, deployments and infrastructure 📃 Skills: Azure, GitHub, AzureDevOps, Git, Bicep, CI/CD, GitOps, KeyVault, AppServices, AzureSQL, ContainerApps, AKS, Flux, ArgoCD, ApplicationInsights, LogAnalytics 🏢 Description: We are looking for a hands-on DevOps Engineer to support the design, implementation and improvement of DevOps capabilities across a modern Azure-based engineering landscape. This role is focused on technical delivery, automation, CI/CD, Infrastructure as Code, GitOps practices and developer enablement using GitHub, Azure DevOps and Azure-native services. The ideal candidate should be able to design and implement reusable DevOps solutions, improve pipeline quality, support release automation and help teams adopt standardized engineering practices. What project we have for you Our client is the fastest-growing global manufacturing company. An international corporation with over a hundred years of history, internationally recognized brands and Reduced-Risk Products. Intellias’ mission is to support its strategy and efforts in the Digital and e-commerce space (e-commerce and other apps mobile apps, payment gateways, loyalty system, search engine, employee management, identity management, etc.). A newly conceptualized Digital Eco System is comprised of a set of capabilities including an online shop & website, linking online & offline, customization & personalization, engagement & membership, digital product & services main differences. What you will do CI/CD Pipeline Design and Implementation Design, build and maintain CI/CD pipelines using: GitHub Actions Azure DevOps Pipelines Create reusable pipeline templates and workflows. Implement build, test, scan, package and deployment stages. Improve pipeline reliability, performance and execution time. Support secure-by-default pipelines with integrated quality and security checks. GitHub and Azure DevOps Engineering Practices Implement and maintain good practices for: Branching strategies Pull request workflows Code review checks Build validation Release approvals Configure and maintain: Repository permissions Branch protection rules Pipeline permissions Service connections Support consistent usage of GitHub and Azure DevOps across multiple products and teams. GitOps and Environment Automation Implement GitOps-based delivery practices where applicable. Ensure environment changes are managed through version-controlled definitions. Support pull-request-based changes for infrastructure and application configuration. Help establish clear separation between: Source code Infrastructure definitions Environment configuration Deployment manifests Support automated synchronization of desired state into target environments. Ensure traceability between code changes, infrastructure changes and deployments. Infrastructure as Code and Azure Delivery Design, implement and maintain Infrastructure as Code using: Bicep Azure-native deployment tooling Create reusable IaC modules and deployment templates. Automate provisioning of Azure resources and environments. Ensure infrastructure is: Version-controlled Repeatable Reproducible Secure by default Aligned with enterprise standards Support deployment automation for Azure services such as App Services, Azure Container Apps, Azure SQL, Key Vault, Storage Accounts, Application Insights and related services. Release and Deployment Automation Implement safe and repeatable release processes. Support deployment strategies such as: Environment promotion Blue/green deployments Canary releases, where applicable Rollback procedures Automate release notes, versioning and deployment tracking where possible. Reduce manual deployment steps and operational risk. Security, Secrets and Compliance Automation Integrate security checks into CI/CD pipelines, including: Dependency scanning Secret scanning Static code analysis Infrastructure validation Container image scanning, where applicable Implement secure secrets handling using Azure Key Vault, GitHub secrets and Azure DevOps variable groups/service connections. Support least-privilege access patterns for pipelines and deployment identities. Help ensure DevOps workflows are auditable and compliant with enterprise requirements. Developer Experience and Self-Service Enablement Create reusable templates, examples and documentation for development teams. Simplify pipeline onboarding for new projects. Provide self-service DevOps building blocks for common scenarios. Improve the developer experience by reducing manual steps and unclear processes. Support teams in adopting standardized DevOps workflows. GitHub and Azure DevOps Organization Administration Administer and configure GitHub organizations and Azure DevOps organizations/projects. Manage organization-level settings, policies and governance controls. Support standardized repository and project setup for new teams. Ensure consistent governance across GitHub repositories and Azure DevOps projects. What you need for this Core Technical Skills Strong hands-on experience with: GitHub Actions Azure DevOps Pipelines Git Azure cloud services Strong experience designing and implementing CI/CD pipelines. Practical experience with Infrastructure as Code, preferably Bicep. Experience with GitOps principles and version-controlled delivery workflows. Good understanding of Azure identity, permissions, service connections and managed identities. Experience with pipeline security, secrets management and deployment automation. DevOps and Delivery Expertise Experience implementing DevOps practices across multiple applications or teams. Strong understanding of: CI/CD design Release automation Environment management Version control strategies Pull request workflows Quality gates Deployment approvals Ability to troubleshoot pipeline, deployment and infrastructure issues. Ability to create reusable technical patterns rather than one-off solutions. Azure and Platform Engineering Knowledge Experience working with Azure-native services. Understanding of cloud resource provisioning, configuration and monitoring. Nice to Have Experience with .NET application delivery. Experience with Azure Container Apps or Kubernetes-based deployments. Experience with GitOps tools such as Flux or Argo CD. Exposure to GitHub Copilot or AI-assisted development workflows. Experience with Azure Monitor, Application Insights or Log Analytics. Familiarity with container-based delivery using Azure Container Apps or AKS. Understanding of platform engineering concepts. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

🏢 Summary: Senior cloud/DevOps engineer role focused on designing and operating enterprise-grade Azure environments for an AI-driven MCP platform. The position involves building scalable, multi-tenant cloud architectures, implementing CI/CD and MLOps processes, and developing secure integration layers with enterprise systems. You will contribute to security, reliability, and orchestration frameworks for production-ready AI infrastructure. 🗂️ Requirements: 5+ years in senior or lead role in cloud architecture or DevOps, Commercial experience building scalable web applications, Experience with DevOps, DevSecOps or MLOps in production environments, Hands-on experience with CI/CD pipelines, Strong knowledge of Microsoft Azure services and architecture, Experience with enterprise API integrations and system integration, Experience building connectors or integration layers, Knowledge of MCP or similar context protocols, Practical experience with ML/AI APIs in production, Understanding of microservices and API management, Experience with multi-tenant SaaS architecture, Higher technical education in computer science or related field 📃 Skills: Azure, CI/CD, DevOps, DevSecOps, MLOps, AzureML, AppServices, Functions, CosmosDB, AzureSearch, ServiceBus, AzureSQL, Microservices, APIManagement, REST, OAuth2, OIDC, GraphAPI, ServiceNow, MCP, MachineLearning, SaaS, MultiTenant, LoadBalancing, Monitoring 🏢 Description: We build innovative digital products for the modern workplace in the Cloud, and we need your expertise. Want to work on DevOps processes that power real enterprise AI systems — not just keep environments running? Join us and help build one of the first enterprise-grade MCP implementations in Poland. As part of our team, you will: Utilize your extensive knowledge of cloud computing, system integration, and software development, Design and maintain cloud environments on Microsoft Azure that serve as the experimental backbone for the MCP Graph Broker, Configure and validate multi-tenant isolation, load balancing, and real-time monitoring mechanisms, ensuring that research on the Orchestration Layer translates into architecturally sound, scalable solutions, Design and implement algorithms for the Security & Reliability Framework for MCP – one of the first implementations of its kind for enterprise environments in Poland. Apply if you have: At least 5 years of experience in a senior or lead role, or in cloud solutions architecture, Commercial experience in building scalable web applications and systems integration, Experience in one of the following areas: DevOps, DevSecOps, and MLOps – deployment and monitoring in production environments using CI/CD pipelines and/or Azure ML CI/CD pipelines, Familiarity with Azure services and best practices (e.g., Azure App Services, Azure Functions, Cosmos DB, Azure Search, Azure Service Bus, Azure SQL), Experience in designing and executing enterprise system integrations via API (Microsoft 365 Graph API, ServiceNow REST API, OAuth2, OIDC), Experience in building connectors, adapters, or integration layers, Knowledge of the MCP (Model Context Protocol) protocol or similar context protocols, and practical use of machine learning tools/ML/AI APIs in production environments, A solid understanding of Azure cloud services, microservices, and API management, Experience with multi-tenant architecture – context isolation, resource management, and access policies in SaaS environments, Strong problem-solving skills, leadership qualities, and excellent communication abilities, A passion for technology and a keen eye for emerging trends, Experience in building Enterprise SaaS applications, Strong communication skills, An eye for detail, Fluency in Polish (C1+) and English (B2+), both spoken and written, Ability to work from Białystok or surrounding areas; hybrid work model required (at least 3 days in the office + max 2 days remote per week), Higher technical education (computer science or related field). Nice to have: Practical knowledge of conversational and dialogue models (fine-tuning, RLHF, prompt engineering for LLMs) – particularly for AI assistant scenarios, Experience with enterprise system integration via API (Microsoft 365 Graph API, ServiceNow REST API) in the role of connector or MCP integration developer, Experience with multi-agent systems at enterprise scale, Azure certifications: Developer Associate (AZ-204), Solutions Architect Expert (AZ-305), or equivalent, Experience with AI model evaluation techniques – experiment design, quality assessment metrics for ML models. We offer: Salary of PLN 20,000–22,000 gross per month (employment contract), 18-month contract with the possibility of extension, Work and professional development while building a distributed enterprise-class cloud system based on AI as infrastructure, not as an add-on feature, Direct impact on the architecture of our own product – a platform used by hundreds of thousands of employees, Opportunity to explore Azure infrastructure solutions, the latest LLMs, and MLOps tools, Multi-directional professional development, certifications, and knowledge sharing, Flexible work model (hybrid), Benefits package (private healthcare, Multisport card).

🏢 Summary: The role focuses on engineering production-grade AI features such as semantic search, intelligent assistants, and automated risk scoring by integrating external AI providers into a cybersecurity platform. You will own the full lifecycle from prototype to reliable, monitored production services, primarily using Python on Azure. This position emphasizes robust software engineering practices over model research or training. 🗂️ Requirements: 5+ years of professional experience building production systems in Python, Expert-level Python programming skills, Experience with ML frameworks and libraries, Proven experience shipping and operating production software, Experience integrating external APIs in production environments, Strong understanding of software architecture and design patterns, Practical experience with CI/CD pipelines, Experience with containerization using Docker, Understanding of AI/ML concepts including LLMs, embeddings, prompt engineering, RAG, Experience with unit and integration testing and mocking external services, Polish work permit, Professional proficiency in English 📃 Skills: Python, Azure, OpenAI, Anthropic, Docker, CI/CD, FastAPI, Flask, Pinecone, Weaviate, Chroma, .NET, REST, LLMs, RAG, Embeddings, Git 🏢 Description: About the Role As a Senior AI/ML Engineer you will be building AI-powered features at the core of our platform - semantic search, an intelligent assistant, automated risk scoring, and much more. We mainly integrate with external AI model providers (OpenAI, Anthropic, and others) to deliver these capabilities to our clients and internal users. This is a software engineering role, not a data science or ML research position. You won't train models from scratch or publish papers. You'll engineer production-grade systems that leverage AI to solve real cybersecurity problems. If you're a strong Python engineer excited about making AI reliable, maintainable, and impactful — we want to talk to you. We're looking for a versatile software engineer to own the journey from AI prototype to reliable production system: building robust integrations with external AI providers or fine-tuned models, standardizing our Python codebase and release pipelines, and ensuring our AI features meet the same quality bar as any other production service. What You'll Do Ship AI features end to end - from integration design through deployment to monitoring in production. You'll build and maintain Python services that power our AI-driven capabilities on Azure. Build production-ready AI / ML integrations - including retry logic, rate limiting, cost monitoring, fallback strategies, and abstraction layers that allow us to swap between model providers. Turn proofs of concept into reliable software - collaborate with our AI experts (who bring deep ML/data science expertise) to take working prototypes and engineer them into tested, documented, production-grade services. Standardize Python engineering practices - establish and evolve our code organization, testing strategies, CI/CD pipelines, and release processes for AI/ML features. Design clean service boundaries - our platform's core runs on .NET. You'll design and maintain well-defined APIs between the Python/AI layer and the rest of the system. Mentor and share knowledge - help other engineers grow their Python and AI engineering skills, and bring engineering rigor to the broader team's practices. Contribute to architecture decisions - work closely with other teams to shape how AI capabilities evolve within the platform. Who You Are Must-Haves 🔹 5+ years of professional experience building and maintaining production systems in Python. 🔹 Expert-level programming skills and proficiency with common ML frameworks and libraries. 🔹 A track record of shipping and operating software - not just building prototypes. You care about testing, monitoring, logging, and what happens after deployment. 🔹 Experience integrating external APIs in production systems - ideally AI/LLM provider APIs (OpenAI, Anthropic, Azure AI, or similar), but strong API integration experience in any domain counts. 🔹 Solid understanding of software architecture and design patterns - you have opinions about how to structure a Python project and can articulate trade-offs. 🔹 Practical knowledge of CI/CD pipelines, containerization (Docker), and modern development workflows. 🔹 A working understanding of AI/ML concepts - you know what embeddings, LLMs, prompt engineering, and RAG are. You can have a productive technical conversation with an ML specialist without needing every concept explained from scratch. 🔹 Experience with testing strategies - unit tests, integration tests, mocking external services. You instinctively write tests, not as an afterthought. 🔹 A highly adaptable, problem-solving and result-oriented mindset with the ability to work independently and take ownership in a fast-paced and dynamic environment. 🔹 Strong communication skills in English (our working language). 🔹 Willingness to learn continuously and share what you learn with the team. Nice-to-Haves 🔸 Experience with Azure cloud services. 🔸 Familiarity with FastAPI, Flask, or similar Python web frameworks. 🔸 Exposure to MLOps tooling or practices (model versioning, experiment tracking, feature stores). 🔸 Hands-on experience in Document AI / Intelligent Document Processing using traditional models and Generative AI. 🔸 Experience with vector databases (Pinecone, Weaviate, Chroma, or similar). 🔸 Any experience with .NET - helpful for cross-team collaboration, but not expected. 🔸 Background in or interest in cybersecurity as a domain. Your Team You'll join our Synapse team - a small, focused group responsible for all AI/ML capabilities within our platform. The team consists of: -> Team Leader / Architect - provides high-level architectural guidance, planning, and cross-stack delivery. -> AI / ML Engineer - deep expertise in AI/ML and data science. Your counterbalance: they bring the ML knowledge, you bring the production engineering discipline. -> AI / Backend Engineer - transitioning from .NET into AI engineering. A teammate you'll mentor and grow alongside. -> You - the person who bridges the gap between AI prototypes and reliable production systems. Why Join Us? / What We Offer: Competitive salary and benefits package. Remote work options and flexible working hours. Actual impact on the choice and shape of solutions developed. Opportunities for professional growth and development. Training and conference budget. A collaborative, innovative work environment with an iterative agile approach. The role is for six months with the possibility of extension. Both full-time and part-time cooperation are possible.

🏢 Summary: Senior QA Automation role focused on designing and building test automation frameworks from scratch for a large-scale digital and e-commerce ecosystem. The position involves leading automation strategy, implementing E2E and API tests, and integrating automated testing into CI/CD pipelines. The role also promotes Shift Left practices and continuous improvement within Agile teams. 🗂️ Requirements: 7+ years of QA Automation experience, Strong leadership experience, Strong experience with Playwright, Proven use of AI tools in automation tasks, Experience building and maintaining E2E tests, Understanding of API testing, Experience with test data management, Solid knowledge of JavaScript, Solid knowledge of TypeScript, Experience with Mocha or Jest, Experience with UI test automation frameworks, Experience with CICD pipelines, Experience working in Scrum 📃 Skills: Playwright, JavaScript, TypeScript, Mocha, Jest, CICD, API, E2E, Scrum, AI, TestAutomation, UI 🏢 Description: Make retail great again through the power of technology! Intellias helps retailers provide consistent and customer-centric shopping experiences across all channels with disruptive retail tech solutions. Get on board and make your own contribution to the industry! What project we have for you Our client is the fastest-growing global manufacturing company. An international corporation with over a hundred years of history, internationally recognized brands and Reduced-Risk Products. Intellias’ mission is to support its strategy and efforts in the Digital and e-commerce space (e-commerce and other apps mobile apps, payment gateways, loyalty system, search engine, employee management, identity management, etc.). A newly conceptualized Digital Eco System is comprised of a set of capabilities including an online shop & website, linking online & offline, customization & personalization, engagement & membership, digital product & services main differences. What you will do Collaborate with team members to identify and prioritize testing needs and develop comprehensive testing strategies Design Test Automation Frameworks and infrastructure from scratch Develop and execute automated test scripts to validate software functionality and reliability Analyse test results and provide regular test reports Debug and troubleshoot issues that arise during testing Promote the use of the Shift Left testing approach Participate in continuous improvements, including platform tooling and processes, implementing best practices, and bringing on innovations Mentor and train team members on testing best practices and techniques What you need for this 7+ years of hands-on experience in QA Automation Strong Leadership experience Strong experience with Playwright Proven use of AI tools in daily automation tasks Experience building and maintaining E2E tests Understanding of API testing and test data management Solid knowledge of JavaScript / TypeScript Experience with test runners (e.g., Mocha, Jest, or similar) Experience with test automation frameworks for UI testing Experience with CI/CD pipelines for automated test execution Experience with Scrum Will be a plus: Experience with SQL or NoSQL for test data setup Knowledge of cloud services (AWS, Azure, GCP) Familiarity with containerization (Docker, Kubernetes) Experience in setting up and configuring test monitoring and reporting tools Experience with other programming languages (Java, Python) What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.