Middle AWS DevOps - Remote

🏢 Summary: Mid-level AWS DevOps role focused on API migration using KIRO and agentic AI in a large-scale logistics environment. The position involves building and maintaining cloud infrastructure, CI/CD pipelines, and observability to ensure scalable and reliable software delivery. Long-term remote engagement within the EU with immediate availability required. 🗂️ Requirements: 3–5 years DevOps experience, Practical experience with AWS services and networking, Hands-on experience with KIRO, Working knowledge of Tyk, Proficiency in Google Cloud Apigee, Experience with Kubernetes and EKS, Python knowledge, Hands-on GitOps experience with ArgoCD, Experience with Terraform and Helm, Proficiency in Bash and PowerShell scripting, Experience with CI/CD pipelines (GitLab CI or GitHub Actions), Experience with monitoring and observability tools, Knowledge of OWASP, encryption, and secrets management, Experience using AI coding assistants (Claude Code, GitHub Copilot, Cursor), EU work permit and availability to work remotely from EU 📃 Skills: AWS, KIRO, Tyk, Apigee, Kubernetes, EKS, Python, GitOps, ArgoCD, Terraform, Helm, Bash, PowerShell, GitLabCI, GitHubActions, Prometheus, Grafana, AppDynamics, OpenSearch, OWASP, Encryption, SecretsManagement, Networking, CICD, ClaudeCode, GitHubCopilot, Cursor 🏢 Description: We are looking for Middle AWS DevOps on behalf of our client: Start: ASAP (other notice periods are not acceptable) Duration: long-term Mode: remote in Romania, Bulgaria or Poland Seniority: Mid (3–5 years of experience) Project: API migration using KIRO (agentic AI, spec-driven development) Stack / requirements (must have): AWS (DevOps, mid-level) KIRO Tyk.io Google Cloud Apigee Client: One of the largest courier companies in the UK (e-commerce, millions of parcels weekly, extensive delivery network and collection points) JD: You will be: building and supporting the tools, processes and infrastructure empowering the faster delivery and scaling of software iterations (ideally with greater quality and the necessary operational insight), ensuring availability, reliability and scalability of application infrastructure, building and supporting continuous integration/delivery and release tools, ensuring the right metrics are collected and monitored. Your profile: smart and tech-savvy engineer with 3+ years of experience working with DevOps practices and Continuous Delivery, practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery, practical knowledge of AWS services, infrastructure and networking, working experience with Kiro, practical knowledge of Tyk, proficiency in Google Cloud Apigee, experience with Kubernetes (ideally EKS on AWS) and container orchestration, Python knowledge, hands-on with GitOps practices, preferably with ArgoCD, medium skills in Terraform and Helm, proficiency in Bash and PowerShell scripting, experience with CI/CD pipelines and tooling (GitLab CI/CD, GitHub Actions, or similar), experience with monitoring, observability, and logging tools, such as Prometheus, Grafana, AppDynamics, and OpenSearch, security awareness (OWASP, encryption, secrets management), very communicative and collaborative, with a strong sense of ownership, upper intermediate/advanced English (B2/C1). Work from the European Union region and a work permit are required. Nice to have: Experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work. Interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches. 📩 If you’re interested and meet the qualifications, please send your CV to Alina Pchelnikova at alina.pchelnikova@dcvtechnologies.co.uk

🏢 Summary: The offer is for a DevOps Engineer responsible for building and supporting tools, processes, and infrastructure that enable fast, reliable, and scalable software delivery. The role focuses on CI/CD, cloud infrastructure, container orchestration, observability, and integrating AI-powered tools into the software development lifecycle. It involves ensuring high availability, automation, and operational insight across AWS-based environments. 🗂️ Requirements: 3+ years of experience with DevOps practices and Continuous Delivery, Practical experience with AI-powered development assistants, Hands-on experience with AWS services and networking, Experience with Kubernetes and container orchestration, Knowledge of Python, Experience with GitOps practices, Experience with CI/CD pipelines and tooling, Experience with monitoring, logging, and observability tools, Knowledge of Terraform and Helm, Proficiency in Bash and PowerShell scripting, Knowledge of API management tools, Security awareness (OWASP, encryption, secrets management), Upper intermediate/advanced English (B2/C1), Work permit and residence in the EU 📃 Skills: AWS, Kubernetes, EKS, Python, GitOps, ArgoCD, Terraform, Helm, Bash, PowerShell, GitLab, GitHub, CI/CD, Prometheus, Grafana, AppDynamics, OpenSearch, Apigee, Tyk, Kiro, OWASP, Encryption 🏢 Description: 🟣 You will be: building and supporting the tools, processes and infrastructure empowering the faster delivery and scaling of software iterations (ideally with greater quality and the necessary operational insight), ensuring availability, reliability and scalability of application infrastructure, building and supporting continuous integration/delivery and release tools, ensuring the right metrics are collected and monitored. 🟣 Your profile: mart and tech-savvy engineer with 3+ years of experience working with DevOps practices and Continuous Delivery, practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery, practical knowledge of AWS services, infrastructure and networking, working experience with Kiro, practical knowledge of Tyk, proficiency in Google Cloud Apigee, experience with Kubernetes (ideally EKS on AWS) and container orchestration, Python knowledge, hands-on with GitOps practices, preferably with ArgoCD, medium skills in Terraform and Helm, proficiency in Bash and PowerShell scripting, experience with CI/CD pipelines and tooling (GitLab CI/CD, GitHub Actions, or similar), experience with monitoring, observability, and logging tools, such as Prometheus, Grafana, AppDynamics, and OpenSearch, security awareness (OWASP, encryption, secrets management), very communicative and collaborative, with a strong sense of ownership, upper intermediate/advanced English (B2/C1). Work from the European Union region and a work permit are required. 🟣 Nice to have: Experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work. Interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches. 🟣 Recruitment Process: CV review – HR Interview – Technical Interview - Client Interview – Decision 🎁 Benefits 🎁 ✍ Development: development budgets of up to 6,800 PLN, we fund certifications e.g.: AWS, Azure, access to Udemy, O'Reilly (formerly Safari Books Online) and more, events and technology conferences, technology Guilds, internal training, Xebia Upskill. 🩺 We take care of your health: private medical healthcare, MultiSport card - we subsidise a MultiSport card, mental Health Support.

🏢 Summary: Remote role within a multi-phase cloud transformation initiative focused on platform engineering, self-service infrastructure, automation, and scalable cloud solutions. The position centers on building and automating cloud-native infrastructure using GCP and modern DevOps practices. 🗂️ Requirements: Experience with Google Cloud Platform (GCP), Proficiency in Terraform, Hands-on experience with CI/CD pipelines, Experience in infrastructure automation, Knowledge of cloud-native architecture, Experience with Kubernetes, Experience with Kafka or BigQuery 📃 Skills: GCP, Terraform, CI/CD, Kubernetes, Kafka, BigQuery, Automation, Cloud-native 🏢 Description: Dear Consultant Be part of a multi-phase cloud transformation initiative focused on platform engineering, self-service infrastructure, automation, and cloud scalability. Send CV to marcillina.tietjen@dcvtechnologies.co.uk Remote Poland, Bulgaria, Romania DCV-XE-JO-20.05.26 Required Skills: • Google Cloud Platform (GCP) • Terraform • CI/CD Pipelines • Infrastructure Automation • Cloud-Native Architecture • Kubernetes • Kafka / BigQuery

🏢 Summary: Contract DevOps / Platform Engineer role focused on designing and implementing DevOps processes and onboarding applications to Kubernetes-based environments. The position involves building CI/CD pipelines, applying GitOps practices, and ensuring platform stability, scalability, and automation. Onsite role in Warsaw or Slovakia, collaborating closely with development teams. 🗂️ Requirements: 3+ years experience in DevOps or Platform Engineering, Strong experience with CI/CD pipelines (Jenkins or GitLab), Experience with Docker and Kubernetes, Experience with cloud platforms (AWS or Azure), Experience with GitOps and ArgoCD, Experience onboarding applications to Kubernetes, Proficiency with Git and Jira, Ability to manage deployments and platform automation 📃 Skills: Kubernetes, Docker, Jenkins, GitLab, ArgoCD, Git, Jira, AWS, Azure, CI/CD, GitOps, Spring, Java, Bash, Python 🏢 Description: Dear Consultant, We are looking for an experienced DevOps / Platform Engineer to design and implement DevOps processes and support application onboarding to Kubernetes-based environments. You will work closely with development teams to drive automation, deployment, and platform reliability. Send CV to (marcillina.tietjen@dcvtechnologies.co.uk Locations: Warsaw (Poland) / Slovakia Type: Contract / Long-term Work Model: Onsite Key Responsibilities Design and implement DevOps processes and platform solutions Onboard applications to Kubernetes environments Manage deployments, administration, and automation Support security, documentation, and platform operations Work closely with development teams for delivery and integration Implement and manage CI/CD pipelines (Jenkins / GitLab) Apply GitOps practices using ArgoCD Support onboarding of Spring Boot and frontend applications to Kubernetes Ensure platform stability, scalability, and efficiency Required Skills & Experience 3+ years of experience in DevOps / Platform Engineering Strong experience with: CI/CD (Jenkins / GitLab) Jira, Git Docker and Kubernetes Experience with cloud services (AWS, Azure) Experience with GitOps and ArgoCD Experience onboarding applications to Kubernetes Strong collaboration and communication skills ⭐ Nice to Have Experience with Java, Bash, or Python

🏢 Summary: Remote role focused on building scalable backend systems and AI-oriented architecture within a modern cloud-native environment, with a strong emphasis on backend engineering and distributed systems. The position involves 70% backend and AI architecture work and 30% frontend development using Angular. The project follows a two-stage interview process with the client and partner organization. 🗂️ Requirements: Strong experience in Python development, Experience with FastAPI framework, Proficiency in system design, Experience in backend engineering, Knowledge of distributed systems, Experience with microservices architecture, Ability to develop frontend applications using Angular, Experience with cloud-native development environments 📃 Skills: Python, FastAPI, Angular, Microservices, DistributedSystems, SystemDesign, Backend, Cloud, AI 🏢 Description: Dear Consultant, Join a global technology engineering project focused on scalable backend systems, AI-oriented architecture, and modern cloud-native development environments. Please share CV marcillina.tietjen@dcvtechnologies.co.uk if interested. 📍 Fully Remote Tech Stack • Python • FastAPI • System Design • Angular • Backend Engineering • Distributed Systems • Microservices ⚙️ Role Split: 70% Backend & AI Architecture 30% Frontend (Angular) 2-stage interview process with Virtusa and the end client. DM if interested.

🏢 Summary: Long-term Senior Fullstack Engineer role in a large postal/logistics environment, focused on developing and maintaining fullstack applications using Java/Spring and Angular. The position involves building RESTful services, working with multiple databases, and contributing within an agile SAFe/Scrum setup. 🗂️ Requirements: 5+ years fullstack development experience, Strong Java and Spring expertise, Strong Angular and TypeScript experience, Experience building REST APIs, Experience with SQL databases, Knowledge of Oracle PostgreSQL or MongoDB, Experience with Jenkins and Git, Experience working in SAFe or Scrum, German B2 or higher, English proficiency 📃 Skills: Java, Spring, Angular, TypeScript, REST, Swagger, SQL, Oracle, PostgreSQL, MongoDB, Jenkins, Git, SAFe, Scrum, Kafka, Microservices, PLSQL, Docker, Kubernetes, AWS, Grafana, Splunk 🏢 Description: Dear Consultant, We are hiring a Senior Fullstack Engineer for a long-term project within a large postal/logistics environment. 💻 Tech Stack: • Java / Spring • Angular / TypeScript • REST API / Swagger • SQL / Oracle / PostgreSQL / MongoDB • Jenkins / Git • SAFe / Scrum ⭐ Nice to Have: Kafka, Microservices, PL/SQL, Docker, Kubernetes, AWS, Grafana, Splunk ✅ 5+ years experience ✅ German B2/B2+ mandatory ✅ English required 📍 EU-based Preferred locations: Poland, Romania, Bulgaria, Czechia, Slovakia, Spain ⏳ Long-term project with yearly extensions Interested? DM me directly. (marcillina.tietjen@dcvtechnologies.co.uk

🏢 Summary: Full-time remote DevOps Consultant role focused on designing and maintaining Azure DevOps CI/CD pipelines and managing Kubernetes-based deployments across cloud and on-prem environments. The position involves containerization, automation scripting, database operations in Kubernetes, and implementing secure, monitored deployment workflows. Long-term B2B engagement within an IT services environment. 🗂️ Requirements: Strong experience with CI/CD in Azure DevOps, Proficiency in Kubernetes and Helm, Experience with Docker containerization, Strong Bash scripting skills, Strong Python scripting skills, Experience with Terraform (IaC), Experience managing Postgres in Kubernetes, Experience with Python backend deployment, Understanding of cloud and on-prem deployment models, Experience with Kubernetes monitoring and logging, Knowledge of Kubernetes security best practices, Familiarity with Microsoft Entra ID 📃 Skills: Azure, AzureDevOps, Kubernetes, Helm, Docker, Bash, Python, Terraform, Postgres, CI/CD, YAML, EntraID 🏢 Description: 🌍 Remote work: fully remote. 📑 Assignment type : B2B – max. 140 zl/h. 📕 Project language: English. ⏳ Project length: > 12 months + prolongations. ⏰ Start: ASAP / 1 month. 💻 Workload: full time. ⚙️ Recruitment process : 2 interviews with the client. 💼 Industry : IT Services / Digital Consulting 🔍Additional information: After receiving the offer, a background check is carried out (references, criminal record check, etc.). We are seeking a skilled DevOps Consultant with expertise in modern CI/CD practices, Kubernetes, and automation scripting. The successful candidate will contribute to the design and maintenance of Azure DevOps pipelines and optimize deployment strategies on Kubernetes. A strong foundation in cloud technologies and hands-on experience with containerization and monitoring is essential. Main Responsibilities: Design and maintain Azure DevOps YAML pipelines and build agents. Deploy and operate applications on Kubernetes using Helm charts and manifests. Create and optimize multi-stage Docker images. Build automated workflows around AI-powered services using scripting. Run and manage Postgres and vector databases in Kubernetes. Operate Python backends as part of deployment workflows. Manage portable Kubernetes-based deployments across Azure and on-prem clusters. Set up logging, metrics, and alerting while ensuring best practices in security. Configure Microsoft Entra ID applications for secure access to resources. Key Requirements: Strong experience with CI/CD practices, particularly in Azure DevOps. Proficiency in Kubernetes and Helm for application deployment. Experience in containerization with Docker. Strong scripting skills in Bash and Python. Knowledge of Infrastructure as Code (IaC) using Terraform. Experience managing databases in Kubernetes, specifically Postgres. Familiarity with modern Python backend frameworks and deployment processes. Understanding of cloud and on-prem deployment models. Experience with monitoring, logging, and security best practices in Kubernetes. Familiarity with Microsoft Entra ID and secure access protocols. Nice to Have: Knowledge of frontend build tools like Vite. Experience with Nginx configuration for SPAs. Familiarity with vector databases like Qdrant. Other Details: This position can be performed remotely, providing flexibility in work arrangements. We are looking for candidates passionate about leveraging technology to empower people and enhance operational efficiency.

🏢 Summary: The offer is for a Senior Platform Engineer responsible for designing, building, and operating scalable Kubernetes-based platforms on AWS. The role focuses on backend platform development, Infrastructure as Code with Terraform, CI/CD automation, and improving developer experience through self-service and multi-tenant solutions. It involves driving reliability, observability, and automation across a cloud-native ecosystem. 🗂️ Requirements: 5+ years of experience as a Platform Engineer, Strong hands-on experience with Kubernetes, including cluster operations, Strong programming skills in TypeScript or Go, Experience with AWS or other cloud platforms, Experience with Infrastructure as Code tools, preferably Terraform, Experience with CI/CD pipelines and deployment automation, Experience designing scalable multi-tenant systems, Strong understanding of API and platform architecture, Solid Linux and networking fundamentals, Experience with observability and monitoring solutions, Experience building self-service platform capabilities, Practical experience using AI-powered coding assistants, Work permit and residence in the European Union 📃 Skills: Kubernetes, AWS, Terraform, TypeScript, Go, Python, CI/CD, Linux, Networking, APIs, Docker, OpenTelemetry, Backstage, GitHub, Claude, Cursor 🏢 Description: 🟣 You will be: designing, building, and operating scalable Kubernetes-based platform infrastructure, developing backend platform services and reusable engineering components, building and maintaining cloud-native solutions (primarily on AWS), creating and evolving Infrastructure as Code solutions using Terraform, designing and implementing CI/CD pipelines and deployment automation, developing scalable multi-tenant platform capabilities for engineering teams, building self-service developer platform features and internal tooling, designing and maintaining APIs and platform architecture standards, improving platform reliability, observability, and monitoring capabilities, collaborating with engineering teams to improve developer experience and platform adoption, contributing to platform engineering best practices and technical standards, supporting container platform operations and orchestration processes, driving automation and operational excellence across the platform ecosystem. 🟣 Your profile: 5+ years of experience as a Platform Engineer, practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery, strong hands-on experience with Kubernetes, including cluster operations and orchestration concepts, strong backend engineering background, strong programming skills in TypeScript and/or Go; Python experience is a plus, solid experience with cloud platforms, preferably AWS, practical experience with Infrastructure as Code tools, preferably Terraform, experience with CI/CD pipelines and deployment orchestration, experience designing scalable multi-tenant systems, strong understanding of API and platform architecture, solid Linux and networking fundamentals, experience with observability and monitoring solutions, experience building reusable self-service platform capabilities for developers, good English communication skills (at least B2 level). 🟣 Nice to have: experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work, interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches, experience with Internal Developer Platforms (IDP), experience building Kubernetes operators and controllers, experience with Backstage or developer portal tooling, experience in container runtime or platform engineering, knowledge of event-driven and distributed systems architecture, experience with service mesh technologies and OpenTelemetry. Work from the European Union region and a work permit are required. 🟣 Recruitment Process: CV review – HR Call – Interview – Client Interview – Decision 🎁 Benefits 🎁 ✍ Development: development budget of up to 6,800 PLN, we fund certifications e.g.: AWS, Azure, ISTQB, PSM, access to Udemy, Safari Books Online and more, events and technology conferences, technology Guilds, internal training, Xebia Library, Xebia Upskill. 🩺 We take care of your health: private medical healthcare, multiSport card - we subsidise a MultiSport card, mental Health Support. 🤸‍♂️ We are flexible: flexible working hours, B2B or permanent contract, contract for an indefinite period.

🏢 Summary: The offer is for a senior DevOps/Platform Engineer role focused on building and scaling CI/CD pipelines, cloud infrastructure, and observability solutions to ensure high availability, reliability, and fast software delivery. The position involves working with Kubernetes, cloud platforms, GitOps, and AI-related tooling to support modern, scalable application environments. It requires strong hands-on technical leadership and expertise in automation, infrastructure as code, and monitoring. 🗂️ Requirements: 5+ years of experience with DevOps practices and Continuous Delivery, Hands-on experience with AWS and Azure services, Strong experience with Kubernetes (EKS, AKS) and container orchestration, Proficiency in Terraform and Helm, Experience with GitOps practices (e.g., ArgoCD), Experience with CI/CD pipelines (GitLab CI/CD, GitHub Actions or similar), Strong scripting skills in Bash and PowerShell, Python knowledge, Experience with monitoring and observability tools, Strong networking knowledge, Experience with AI Agents and Claude Code, Experience with FastMCP or other MCP libraries, Knowledge of security best practices (OWASP, encryption, secrets management), Upper intermediate/advanced English (B2/C1), Work permit and residence in the European Union 📃 Skills: AWS, Azure, Kubernetes, EKS, AKS, Terraform, Helm, ArgoCD, GitLab, GitHub, Python, Bash, PowerShell, Prometheus, Grafana, AppDynamics, OpenSearch, Claude, FastMCP, FluxCD, Harness, Rancher, Keycloak, Networking, GitOps, CI/CD 🏢 Description: 🟣 You will be: building and supporting the tools, processes and infrastructure empowering the faster delivery and scaling of software iterations (ideally with greater quality and the necessary operational insight), ensuring availability, reliability and scalability of application infrastructure, building and supporting continuous integration/delivery and release tools, ensuring the right metrics are collected and monitored. 🟣 Your profile: hands-on experience as a tech leader, smart and tech-savvy engineer with 5+ years of experience working with DevOps practices and Continuous Delivery, practical knowledge of AWS and Azure services, infrastructure and networking, solid experience with Kubernetes (EKS and AKS) and container orchestration, Python knowledge, strong networking skills, experience in Claude Code, experience in working with AI Agents, experience in FastMCP or other MCP libraries, hands-on with GitOps practices, preferably with ArgoCD, strong skills in Terraform and Helm, proficiency in Bash and PowerShell scripting, experience with CI/CD pipelines and tooling (GitLab CI/CD, GitHub Actions, or similar), experience with monitoring, observability, and logging tools, such as Prometheus, Grafana, AppDynamics, and OpenSearch, security awareness (OWASP, encryption, secrets management), very communicative and collaborative, with a strong sense of ownership, upper intermediate/advanced English (B2/C1). Work from the European Union region and a work permit are required 🟣 Nice to have: AWS/ Azure certifications such as Solutions Architect or Platform Engineer, familiarity with FluxCD, experience with Harness, experience with Rancher, knowledge of Keycloak. 🟣 Recruitment Process: CV review – HR Interview – Technical Interview - Client Interview – Decision 🎁 Benefits 🎁 ✍ Development: development budgets of up to 6,800 PLN, we fund certifications e.g.: AWS, Azure, access to Udemy, O'Reilly (formerly Safari Books Online) and more, events and technology conferences, technology Guilds, internal training, Xebia Upskill. 🩺 We take care of your health: private medical healthcare, multiSport card - we subsidise a MultiSport card, mental Health Support. 🤸‍♂️ We are flexible: B2B or employment contract, contract for an indefinite period.

🏢 Summary: Senior Software Engineer role for a long-term Genkit project focused on Cloud and AI, involving development of AI Agent Middleware, developer interfaces, and model plugins for GCP and Firebase. The position requires strong frontend expertise and active open-source contributions, working at the intersection of Cloud technologies and LLM-based systems. Remote work from Poland. 🗂️ Requirements: 7+ years of professional software engineering experience, Exceptional proficiency in TypeScript, Exceptional proficiency in JavaScript, Strong commercial experience with Angular, Active and verifiable open-source contributions (GitHub profile with pull requests and code reviews), Strong knowledge of Cloud ecosystems, preferably GCP and Firebase, Familiarity with AI and LLM systems, Working knowledge of Go, Python, or Dart 📃 Skills: TypeScript, JavaScript, Angular, GCP, Firebase, AI, LLM, Go, Python, Dart, GitHub, Cloud 🏢 Description: We are looking for a Senior Software Engineer on behalf of our client, a well-known and fast-growing technology company offering a stable, long-term project in a modern environment. 📍 Work mode: Remote from Poland About the Project We are urgently looking for 4 highly skilled Software Engineers (Tier 1/2, 7+ years of experience) to join our team for the Genkit project (CLOUD - GEMINI CODE ASSIST-FPR). This is a unique opportunity to work at the intersection of Cloud technologies and Artificial Intelligence, contributing to cutting-edge AI Agent Middleware and Developer Interfaces. Key Responsibilities Plugin Development: Maintain, enhance, and develop new Genkit model plugins tailored for Google Cloud Platform (GCP) and Firebase environments. Developer UI (Dev UI): Design, build, and optimize intuitive and robust user interfaces for developers utilizing our AI tools. AI Agent Middleware: Drive innovation by designing and implementing scalable middleware solutions for AI agents. Open Source Contribution: Actively engage with the open-source community, reviewing code, submitting pull requests, and ensuring high code quality. Requirements Required Skills & Qualifications Experience: 7+ years of professional experience in software engineering. Core Languages: Exceptional fluency in TypeScript and JavaScript. Frontend Frameworks: Proven, deep experience with Angular. Open Source Portfolio (Crucial): Verifiable and active contributions to open-source projects. A GitHub profile demonstrating real engagement (e.g., Pull Requests, Code Reviews) is strictly required for this role. Ecosystem Knowledge: Strong understanding of Cloud ecosystems, preferably GCP and Firebase. AI/LLM: Familiarity with or strong interest in AI and Large Language Model (LLM) systems. Additional Languages: Working knowledge of one or more of the following languages : Go, Python, or Dart. 📩 If you’re interested and meet the qualifications, please send your CV to Alina Pchelnikova at alina.pchelnikova@dcvtechnologies.co.uk