Senior DevOps Engineer (GCP& Azure)

🏢 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, implementing, and managing AWS-based cloud infrastructure and Kubernetes platforms. The position involves building CI/CD pipelines, automating lifecycle processes, enhancing monitoring, and ensuring high availability and security. You will collaborate with development and QA teams to optimize deployment, automation, and operational efficiency. 🗂️ Requirements: 7+ years experience as DevOps Engineer, Strong AWS expertise, Advanced Kubernetes knowledge (networking, security, service mesh, CNI), Strong Terraform experience, 4+ years Linux system administration, Experience with CI/CD tools (e.g., Jenkins), Experience with storage, clustering, load balancing, virtualization, Automation experience with Ansible, Knowledge of high-availability solutions, Experience with monitoring and logging tools (ELK, Prometheus, Grafana), Understanding of DevOps lifecycle and configuration management 📃 Skills: AWS, Kubernetes, Terraform, Linux, Jenkins, Ansible, Istio, CNI, ELK, Prometheus, Grafana, CICD, Networking, Security, Virtualization, Clustering, LoadBalancing, Automation, SystemAdministration 🏢 Description: Dive deep into Digital! For 20 years Intellias has been developing top-tier digital solutions for the world’s leading companies, keeping them in line with the latest technology trends. Join in and provide innovations for the future! Client is a leader in iGaming innovation, creating cutting-edge games and solutions, including the globally popular Aviator. They focus on redefining the online gambling experience with next-generation products tailored for dynamic and engaging gameplay. Responsibilities As a Cloud Engineer: management of the platform, networking, security, decision creating golden images for the entire organization; cloud management. As a DevOps: processes and software development and Lifecyle, pipelines, deployment of apps, monitoring of apps etc Collaborate with QA and Development teams to improve software development efficiency. Partner with Systems Engineers to enhance automation and deployment processes. Focus on lifecycle job automation, continuous process improvements, and monitoring. Design and implement Kubernetes-based systems and DevOps strategies. Manage deployment artifacts, testing procedures, and production rollouts. Contribute to system administration tasks and strategy planning. Maintain and expand technical documentation to support the knowledge base. Qualifications 7+ years of hands-on experience as a DevOps Engineer (AWS primarily). Strong expertise in Kubernetes (networking, security, service mesh solutions like Istio, policies, CNI) and Terraform. 4+ years of extensive experience in Linux System Administration and services around it A-to-Z (RHCE-applicable level, certification NOT required). Proficiency in Jenkins or similar CI/CD tools used in SDLC. Experience with storages, clustering, load balancing, server provisioning and management, virtualization. Skilled in automation with Ansible. Knowledge of High-Availability patterns and solutions. Familiarity with ELK stack and Prometheus-Grafana for monitoring and logging. Broad exposure to various DevOps-related technologies. Comprehensive understanding of the DevOps lifecycle, including configuration management, orchestration, CI/CD pipelines, monitoring, and security 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

🏢 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 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: Opportunity to design, build, and operate a large-scale distributed search and recommendation platform in a cloud environment. The role focuses on backend API development, data pipelines, and Kubernetes-based services, contributing to a SmartSearch ecosystem. You will work with modern search, graph, and big data technologies to ensure high availability and performance. 🗂️ Requirements: 5+ years cloud experience (Azure preferred), 1+ year experience with search platforms (Apache Solr or Elasticsearch), Experience building or operating distributed systems, Experience with data pipelines (Spark, Airflow), Hands-on experience with Kubernetes (AKS preferred), Strong backend engineering experience with .NET/C# APIs, Experience working with production systems 📃 Skills: Azure, Solr, Elasticsearch, .NET, C#, Spark, Airflow, Kubernetes, AKS, Neo4j, Helm, CI/CD 🏢 Description: Dive deep into Digital! For 20 years Intellias has been developing top-tier digital solutions for the world’s leading companies, keeping them in line with the latest technology trends. Join in and provide innovations for the future! The Client is a leading multi-brand technology solutions provider to business, government, education and healthcare customers in the United States, the United Kingdom and Canada. A Fortune 500 company and member of the S&P 500 Index, Client was founded in 1984 and employs approximately 15,000 coworkers. For the trailing twelve months ended March 30, 2023, the company generated Net sales over $22 billion. Responsibilities: Design, build, and operate components of a large-scale distributed search and recommendation platform Develop and maintain backend APIs and platform services supporting the search ecosystem (preferably .NET / C#) Build and maintain data pipelines for indexing, analytics, and behavioral signal processing using technologies such as Spark and Airflow Design and build services that run in Kubernetes environments (AKS), collaborating closely with DevOps and SRE teams on deployments and operational readiness Support HA search infrastructure, ensuring reliability and performance of indexing and query workloads Contribute to graph-based recommendation systems leveraging Neo4j and behavioral data signals Troubleshoot and optimize distributed systems performance, search pipelines, and data processing jobs Collaborate with DevOps and SRE teams to ensure platform services integrate smoothly with CI/CD pipelines, containerization, and production deployment processes Participate in architecture discussions and contribute to the evolution of the home grown SmartSearch platform Technology Stack: Apache Solr Neo4j graph database .NET / C# APIs Apache Spark Apache Airflow Kubernetes (AKS) Azure cloud Helm-based deployment environments Distributed data pipelines and indexing systems Requirements: Must Have • 5+ years of hands-on cloud experience (Azure preferred), working with production systems • 1+ years of hands-on Experience with search platforms (Apache Solr preferred, Elasticsearch acceptable) • Must have experience building or operating distributed systems or data pipelines (Spark, Airflow, etc.) • Hands-on Experience working in Kubernetes environments (AKS preferred) • Hands-on strong backend engineering experience building APIs or platform services (.Net/Preferred ) Nice to Have • Expert Experience with .NET / C# • Experience with graph databases (Neo4j) or recommendation systems • Exposure to AI-assisted development or modern AI use cases 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: 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.

🏢 Summary: Opportunity to develop and maintain a large-scale digital eCommerce ecosystem for a Fortune 500 global retailer, focusing on React-based frontend solutions. The role involves architecture participation, technical design, optimization, and collaboration across teams to deliver high-quality Single Page Applications. You will contribute to building and evolving modern online retail platforms integrating personalization, engagement, and digital services. 🗂️ Requirements: 5+ years React.js development experience, 5+ years HTML, CSS, JavaScript (vanilla) experience, Experience with modern CSS frameworks (Tailwind or Bootstrap), Strong knowledge of CSS3 (Flexbox, Grid), Experience with module bundlers and transpilers, Experience building Single Page Applications, Experience with state management libraries (Redux or Vuex), Experience with API integration and API mocking, Experience with UI design tools (Figma, Sketch, Invision), Familiarity with CI/CD practices, Solid knowledge of NextJS and Builder.io, Fluent English 📃 Skills: React, JavaScript, HTML5, CSS3, Tailwind, Bootstrap, Redux, Vuex, NextJS, Builder.io, CI/CD, Figma, Sketch, Invision, SPA, Webpack, Babel, APIs 🏢 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 With great experience come great projects. Just imagine: you can develop a product that should completely change the business of one of the world’s largest companies! Our client is an innovative global company from the Fortune 500. Consumer Goods Producer and Retailer with headquarters in Switzerland that sells its products in 130 countries. Intellias mission is to support its strategy and efforts in the Digital and eCommerce space. 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 products & services. What you will do The main responsibility will be maintaining the project and resolving bugs. Creating technical vision & documentation Participate in architecture and design efforts Code review, code optimization Technical tasks implementation, design, refactoring Collaborate with other engineering teams to resolve dependencies and deliver high-quality software on time, etc. What you need for this 5+ years of experience developing React.JS applications. 5+ years of HTML front end stack (vanilla-JS, HTML5, CSS) development. Experience in modern CSS frameworks (Tailwind/Bootstrap) and CSS3 (e.g., flexbox/grid layouts). Experience in module bundlers, and trans pilers. Good experience developing Single Page Applications. Experience in state-management patterns and libraries (e.g. Redux/Vuex). Experience in API integration and API mocking. Experience in working with UI design management tools (eg. Figma/Sketch/Invision). Familiarity with continuous integration and deployment (CI/CD) practices. Strong problem-solving skills and attention to detail. Solid knowledge of technology used within frontend solutions, specifically NextJS and Builder.io . Fluent English (Written and spoken). 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 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: Opportunity to join a large-scale DevOps transformation programme focused on migrating 90+ applications, modernising infrastructure, and standardising cloud-native engineering practices. The role centres on Kubernetes adoption, CI/CD optimisation, workflow orchestration modernisation, and AI-driven automation within a complex enterprise environment. You will collaborate across platform, infrastructure, and application teams to improve delivery efficiency and operational scalability. 🗂️ Requirements: Strong DevOps or Platform Engineering experience in large enterprise environments, Experience with Java-based application ecosystems, Hands-on Kubernetes experience in enterprise settings, Experience deploying and managing applications on Linux (Red Hat preferred), Strong CI/CD pipeline design and implementation experience, Experience with Azure DevOps, Experience supporting multiple applications or cross-team environments, Experience with workflow orchestration tools (Control-M or Airflow), Experience using AI to automate DevOps processes and workflows 📃 Skills: DevOps, Kubernetes, Java, Linux, RedHat, CI/CD, Azure, Control-M, Airflow, AI, Automation 🏢 Description: Our client, a leading international organisation operating within a highly complex technology environment, is undertaking a large-scale transformation programme focused on infrastructure modernisation, application migration and engineering efficiency. To support this initiative, a new central DevOps capability is being established to drive the migration and standardisation of a large application estate while introducing scalable engineering practices and modern delivery approaches across multiple technology teams. This is an opportunity to join a strategic programme with significant visibility and impact, working at the intersection of platform engineering, automation, cloud-native technologies and AI-enabled software delivery. Project Scope The programme includes: Migration of more than 90 applications across multiple technology domains Large-scale infrastructure and data centre transformation initiatives Adoption of enterprise Kubernetes platforms Migration to modern storage and infrastructure solutions Modernisation of workflow orchestration and scheduling platforms Standardisation of DevOps practices across engineering teams Introduction of AI-driven tooling to improve engineering productivity and delivery efficiency The successful candidate will work closely with platform, infrastructure, architecture and application teams to accelerate delivery, reduce operational complexity and support the organisation's long-term technology strategy. Key Responsibilities Support large-scale application and infrastructure migration initiatives Design, implement and optimise CI/CD pipelines and deployment processes Enable adoption of Kubernetes-based deployment models Drive automation and standardisation across engineering teams Improve software delivery processes and operational efficiency Leverage AI tools to automate DevOps workflows and engineering tasks Support workflow orchestration modernisation projects Collaborate with stakeholders across multiple technology teams Required Skills & Experience Strong DevOps or Platform Engineering experience gained within large-scale enterprise environments Solid exposure to Java-based application ecosystems Experience deploying and managing applications on Linux environments (Red Hat preferred) Hands-on experience with Kubernetes in enterprise settings Strong CI/CD experience, ideally with Azure DevOps Experience supporting multiple applications or working across various engineering teams Experience with workflow orchestration tools such as Control-M and/or Airflow Experience using AI to automate DevOps processes, workflows or engineering activities Nice to Have Experience with object storage technologies and infrastructure transformation programmes Background within financial services, banking or capital markets Exposure to trading, pricing or risk management systems Experience working with platforms such as Murex Experience leveraging AI tools to support migration initiatives, including Control-M to Airflow transitions

🏢 Summary: Senior AWS DevOps Engineer role focused on designing, automating, and maintaining scalable cloud infrastructure and CI/CD pipelines for distributed applications. The position involves managing Kubernetes environments, implementing Infrastructure as Code, and improving reliability, security, and observability across AWS platforms. You will collaborate with engineering teams to enhance deployment processes and ensure high availability of production systems. 🗂️ Requirements: 5+ years DevOps or Cloud Engineering experience, Strong hands-on experience with AWS services, Experience with Kubernetes and containerized environments, Strong experience with Terraform and Infrastructure as Code, Experience building and maintaining CI/CD pipelines, Strong Linux administration skills, Scripting skills in Bash or Python, Experience with monitoring and logging tools, Knowledge of networking, security, and IAM, Experience with Git-based workflows 📃 Skills: AWS, Kubernetes, EKS, Docker, Terraform, CloudFormation, CICD, Linux, Bash, Python, CloudWatch, Prometheus, Grafana, ELK, Datadog, Git, IAM, Jenkins, GitHub, GitLab, AzureDevOps, Helm, ArgoCD, Serverless, Networking, Security 🏢 Description: About the Role We are looking for a Senior AWS DevOps Engineer to join a fast-paced international engineering team. The ideal candidate will be responsible for designing, implementing, automating, and maintaining cloud infrastructure and CI/CD ecosystems for highly scalable distributed applications. You will work closely with development, security, and infrastructure teams to improve deployment processes, system reliability, scalability, and operational efficiency across cloud environments. Key Responsibilities Design, build, and maintain scalable AWS cloud infrastructure Implement and optimize CI/CD pipelines for automated deployments Manage Kubernetes clusters and containerized workloads Develop Infrastructure as Code (IaC) solutions using Terraform or CloudFormation Improve system observability, monitoring, logging, and alerting Automate operational and deployment processes Ensure high availability, performance, and security of production systems Collaborate with development teams to support cloud-native application delivery Participate in troubleshooting, incident response, and root cause analysis Support platform reliability, scalability, and disaster recovery initiatives Required Skills & Experience 5+ years of experience in DevOps / Cloud Engineering roles Strong hands-on experience with AWS services Experience with Kubernetes (EKS preferred) and Docker Strong experience with Terraform and Infrastructure as Code Experience building and maintaining CI/CD pipelines Strong Linux administration and scripting skills (Bash/Python) Experience with monitoring and logging tools such as CloudWatch, Prometheus, Grafana, ELK, Datadog, etc. Experience with Git-based workflows and automation tools Good understanding of networking, security, IAM, and cloud best practices Experience working in Agile/Scrum environments Strong troubleshooting and communication skills Nice to Have AWS Certifications Experience with GitHub Actions, GitLab CI, Jenkins, or Azure DevOps Experience with serverless architectures Exposure to multi-cloud environments (AWS/Azure) Knowledge of security and compliance frameworks Experience with Helm, ArgoCD, or service mesh technologies