Job Description: We are seeking an experienced Azure DevOps Engineer with strong Docker and containerization skills to join our DevOps and infrastructure team. You will be responsible for automating our build and deployment pipelines, managing cloud resources in Azure, and working with containerized applications across development and production environments.This role is ideal for someone who thrives in a fast-paced, cloud-native environment and is passionate about infrastructure automation, container orchestration, and DevOps best practices. Key Responsibilities: Design, build, and manage scalable CI/CD pipelines using Azure DevOps (Pipelines, Repos, Artifacts) Containerize applications using Docker and manage container lifecycle across environments Develop and maintain Infrastructure as Code (IaC) using Terraform , Bicep , or ARM templates Automate the deployment and monitoring of Docker containers on Azure Kubernetes Service (AKS) or other orchestrators Implement and maintain build/release automation, integrating security and compliance checks Optimize pipeline performance and container build times using Docker best practices Collaborate with development teams to integrate DevOps processes early in the SDLC Set up monitoring, logging, and alerting for containerized workloads using Azure Monitor , Log Analytics , or similar tools Required Qualifications: 5+ years of experience in a DevOps or cloud infrastructure role Hands-on experience with Docker : image creation, multi-stage builds, container lifecycle management Proficiency with Azure DevOps services (Repos, Pipelines, YAML-based workflows) Experience deploying and managing containers in Azure Kubernetes Service (AKS) or similar platforms (EKS, GKE, etc.) Strong scripting skills in PowerShell , Bash , or Python Solid understanding of Git, GitLab, GitOps workflows, and version control best practices Experience with Terraform , Bicep , or ARM templates for IaC Familiarity with networking, identity, and storage services in Azure Nice to Have: Microsoft Azure certification (e.g., AZ-400 , AZ-104 , AZ-305 ) Experience with Helm charts or Kubernetes manifests Familiarity with container security practices (e.g., scanning, signing, least-privilege containers) Knowledge of GitHub Actions or Jenkins in multi-cloud environments Experience with monitoring tools like Prometheus , Grafana , Datadog , or App Insights
Role & responsJob Description: We are seeking an Expert-level Microsoft Dynamics 365 CRM Developer to lead the architecture, development, and integration of enterprise-grade CRM solutions using Dynamics 365 Customer Engagement (CE). This role requires deep technical expertise, strategic thinking, and the ability to deliver complex business solutions using the Microsoft Power Platform and Azure services. As a senior technical resource and an EXPERT, you will drive the full lifecycle of CRM initiatives from high-level architecture and solution design through hands-on development and deployment — while mentoring other developers and ensuring best practices. Key Responsibilities: Architect and implement scalable, secure, and high-performance Dynamics 365 CE solutions tailored to business needs. Lead the development and customization of CRM components using C#, JavaScript, Plugins, Custom Workflows, Power Automate, and Power Apps. Design and oversee integrations with external systems (ERP, portals, legacy applications) using APIs, Azure Logic Apps, and middleware. Provide technical leadership across Dynamics 365 initiatives, guiding junior developers and collaborating with stakeholders. Define and enforce CRM development standards, best practices, and governance policies. Manage system upgrades, release planning, and DevOps pipelines using Azure DevOps. Perform advanced troubleshooting, performance optimization, and solution refactoring. Support data modeling, ETL, and migration activities, ensuring data integrity across systems. Stay current with Microsoft product roadmap, updates, and emerging technologies (Copilot, AI builder, Dataverse). Collaborate with business analysts, architects, and QA teams to ensure successful project delivery. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field. 7+ years of hands-on experience with Microsoft Dynamics CRM (on-premises and/or online), including at least 3 years with Dynamics 365 CE/Online . Must be an EXPERT in: C#, .NET Framework/Core JavaScript, TypeScript Dynamics 365 Plugins, Custom Workflows, Actions Power Platform (Power Apps Canvas/Model-driven, Power Automate) Web API, OData, FetchXML, and SDK Strong experience with Microsoft Dataverse and Azure services (Functions, Logic Apps, Service Bus, Key Vault). Deep understanding of CRM modules (Sales, Customer Service, Field Service). Strong knowledge of solution lifecycle management (ALM), Azure DevOps, and CI/CD automation. Ability to design and manage complex integrations and high-volume data migrations. Excellent documentation, leadership, and mentoring skills. Microsoft Certified: Power Platform Solution Architect / Dynamics 365 + Power Platform Developer Associate Experience with Dynamics 365 Marketing, Customer Insights, or Field Service Familiarity with Dynamics 365 Portals / Power Pages ibilities Preferred candidate profile
Proven experience as an HR assistant Must be able to support recruitment activities, posting jobs scheduling interviews, and screening resumes Must be able to discuss with candidates on phone, prescreen Coordinate onboarding and off-boarding
Job Overview: We are seeking a highly skilled and experienced Generative AI Expert with deep expertise in AWS to lead the development and deployment of cutting-edge generative AI solutions. The ideal candidate will have a strong background in machine learning, deep learning (particularly transformer-based models), and cloud-native development on AWS. Required Skills and Qualifications: Must have proven experience in building and deploying generative AI models (such as LLMs, GANs, diffusion models). Must have deep expertise in AWS AI/ML stack : SageMaker, Bedrock, EC2, Lambda, S3, CloudWatch, IAM, etc. Must have strong programming skills in Python (TensorFlow, PyTorch, Transformers, LangChain, etc.). Must have experience with MLOps tools (e.g., SageMaker Pipelines, MLflow, Kubeflow). Must be familiar with Retrieval-Augmented Generation (RAG) using AWS-native services and frameworks. Must have strong understanding of AWS architecture , networking, and security best practices. Must have experience in creating a RAG system for document search using Amazon Kendra and LangChain . Must have experience in building a secure, scalable chatbot using a fine-tuned LLM on AWS . MUST HAVE AWS Certified Machine Learning Specialty , Solutions Architect Professional Certification(s). Excellent communication and documentation skills. Experience with Amazon Bedrock, AWS Inferentia, and AWS Trainium would be a plus Prior experience with multi-modal models (e.g., image + text) and use cases like synthetic media generation would be a plus. Must have background in NLP, CV, or RL research would be a plus. Must have experience with CI/CD for ML (e.g., CodePipeline, CodeBuild). Prior experience in developing generative image or video pipelines for marketing using AWS infrastructure. Prior experience in integrating third-party LLM APIs via Bedrock and deploying with custom prompt engineering pipelines. Key Responsibilities: Design, develop, and deploy generative AI models (e.g., LLMs, diffusion models) using AWS services . Architect scalable, secure, and cost-effective ML infrastructure on AWS (e.g., Sagemaker , Lambda, ECS, EKS). Fine-tune foundation models (e.g., LLaMA, Falcon, Claude, Mistral) using Amazon SageMaker or custom pipelines. Collaborate with data scientists, ML engineers, and DevOps to operationalize AI models into production. Implement real-time inference pipelines using AWS services such as SageMaker Endpoints, Lambda, and API Gateway. Evaluate and integrate third-party APIs (e.g., Bedrock, OpenAI, Anthropic) with custom workflows. Optimize model training and inference performance using GPU-based instances (e.g., EC2 P4d, G5) and distributed training. Ensure compliance with security, privacy, and governance policies when deploying models in AWS environments. Stay up to date with the latest in generative AI research, tools, and AWS innovations.
Job description Were looking for a talented and collaborative Angular + Python + Azure Developer to help build a modern, powerful enterprise content management system. This is a hands-on development role ideal for someone with strong back-end experience in Python + + Azure Development experience . Youll work on a fast-growing project, contributing features, fixing bugs, and writing tests. The stack includes Django (Python) on the back end, Angular on the front end, Azure and Docker for deployment. Key Responsibilities: Build and maintain front-end features using Angular. Build and maintain back-end features using Python and Django . Collaborate on front-end development with Angular , TypeScript, and HTML/CSS. Must be proficient in virtualizations and familiar with Azure Cloud , with working knowledge of managing and configuring resources through the Azure Portal . Working knowledge of Web APIs Contribute to a Docker-based development and deployment environment. Help design and refine systems for document processing, including OCR, tagging, metadata extraction, and categorization . Follow and improve development workflows using tools like Git, pre-commit hooks, and CI pipelines. Required Skills & Experience: Proficiency in Python , particularly with the Django framework. Proficiency in virtualizations and familiar with Azure Cloud , with working knowledge of managing and configuring resources through the Azure Portal . Working knowledge of Web APIs Experience contributing to open-source projects (public GitHub/GitLab profile). Solid understanding of web development, including: Back-end : Python, Django, RESTful APIs Front-end : Angular, TypeScript, HTML/CSS Cloud : Azure Familiarity with Docker and containerized application workflows. Understanding of document management concepts such as OCR, document parsing, categorization, and workflow automation. Familiarity with Paperless-ngx or similar DMS tools UX/UI sensitivity or experience improving accessibility and usability Agile development or open-source team collaboration experience Role & responsibilities
About the Role: We are seeking a highly skilled developer to help build a custom integration solution for voice and chat communication between Microsoft Teams and Amazon Connect . The successful candidate will play a key role in building, deploying, and maintaining the integration that enhances the customer service experience, allowing MS Teams to manage both voice and chat interactions in one unified platform. Qualifications: Experience: Proven experience in integrating third-party systems, specifically Amazon Connect with Microsoft Teams or similar communication platforms. Hands-on experience developing and deploying custom applications using AWS SDK , Lambda , Amazon Connect APIs , Teams APIs , Azure , and Node.js . Familiarity with Voice and Chat integration in cloud-based environments, preferably within customer service or contact center settings. Technical Skills: Experience with IVR (Interactive Voice Response) systems and AWS Connect Streams . Previous work with integrating chatbots, Amazon Lex , or other conversational AI systems within Teams. Strong proficiency in programming languages: JavaScript , Node.js , TypeScript , Python (or other relevant languages). Experience with RESTful APIs and WebSocket for real-time communication. Knowledge of AWS services like Lambda , SNS , SQS , and CloudWatch . Familiarity with Microsoft Graph API and Teams App Studio for custom app development in Microsoft Teams. Understanding of Single Sign-On (SSO) and OAuth for secure authentication. Tools & Technologies: Familiarity with Git , CI/CD pipelines , Jira , and Agile methodologies . Experience with Amazon Connect Contact Flows , Queues , and Routing Profiles . Experience with Teams Voice and Power Automate integrations is a plus. Soft Skills: Strong problem-solving and debugging skills. Ability to work in a fast-paced, dynamic environment and manage multiple priorities. Strong attention to detail with a focus on delivering high-quality code and solutions. Responsibilities: Integration Development: Develop and implement custom solutions to integrate Amazon Connect with Microsoft Teams, enabling seamless voice and chat interactions between agents and customers. Custom Code Development: Write and maintain custom code using Microsoft Teams APIs, Amazon Connect APIs, AWS Lambda, and other relevant technologies to bridge the gap between these platforms. Voice and Chat Support: Implement Amazon Connect Contact Control Panel (CCP) and chat integrations within Teams, ensuring smooth workflows for both inbound and outbound voice calls, as well as real-time chat interactions. System Configuration: Configure and optimize Amazon Connect routing profiles, queues, contact flows, and Teams settings to ensure streamlined operations. Security & Compliance: Implement secure authentication protocols (e.g., OAuth, SSO) between Amazon Connect and Microsoft Teams while ensuring compliance with industry standards. Testing & Deployment: Conduct unit testing, integration testing, and assist in deployment to ensure high-quality, bug-free solutions. Participate in post-deployment support and troubleshooting. Documentation: Document code, architecture, and processes to ensure maintainability and ease of understanding for internal teams.