We seek a seasoned Engineering Manager with deep knowledge of the Microsoft technology stack (.NET, Azure, Dynamics 365, Power Platform) along with React/React Native. The ideal applicant has a proven track record of managing engineering teams, developing high-quality software solutions, and spearheading digital transformation using Microsoft tools. In this position, you will supervise development, guide engineers, and collaborate with cross-functional teams to deliver software products and manage platform operations. Key Responsibilities: Team Leadership: Guide and mentor, a team of software engineers, offering support, coaching, and career development opportunities. Technical Oversight: Oversee the design, development, and implementation of software solutions utilizing Microsoft technologies like .NET, Azure, SharePoint, PowerApps, Dynamics 365, APIs and React/React Native. Delivery Management: Manage delivery timelines, milestones, and resource allocation to ensure timely completion of high-quality software solutions. Champion metrics-driven development practices. Service Management: Maintain and manage essential business services, proactively monitoring their health and addressing user-reported incidents. Architecture and Design: Work with architects to ensure solutions are scalable, secure, and in line with the companys technology strategy. Cross-Functional Collaboration: Partner with product manager s, designers, and other stakeholders to understand requirements and ensure they align with business goals. Code Quality and Best Practices: Implement and uphold coding standards, best practices, and development methodologies to maintain code quality and durability. Cloud Solutions: Promote the adoption of cloud-native development practices using Azure services like Azure DevOps, Azure Functions, and Azure Kubernetes Services (AKS). Digital Transformation: Spearhead efforts to modernize existing systems and integrate Microsoft suite tools for enhanced business processes and efficiency. Performance Reviews: Conduct regular evaluations of team members performance and provide constructive feedback. Risk Management: Identify potential project risks and develop mitigation strategies to ensure successful project outcomes. Qualifications: Over 8 years in software engineering , with at least 3 years in leadership or management. Practical experience with Azure services and cloud-native architectures. Knowledge of Agile/Scrum methodologies and tools like Azure DevOps or Jira. Strong leadership, communication, and interpersonal skills. Excellent analytical and problem-solving skills tailored to business needs. Optional: Microsoft certifications such as Azure Solutions Architect, Azure Developer, or Power Platform certifications are beneficial. Preferred Skills: Proficiency in DevOps practices and tools, such as CI/CD pipelines and infrastructure as code. Understanding of other Microsoft technologies, including Dynamics 365, SharePoint, or Microsoft Teams. Awareness of security and compliance standards within a Microsoft environment.
About the Role We are looking for a driven and knowledgeable Sales / Business Development Specialist with hands-on experience selling Employee Assistance Programs (EAP) , Employee Engagement solutions , or Learning & Development platforms (LMS/LXP) to enterprise clients in India. The ideal candidate understands the HR decision-making ecosystem and can confidently articulate how engagement, wellness, and learning solutions impact organizational performance. Key Responsibilities 1. Domain Expertise & Value Articulation Demonstrate strong understanding of the complete Employee Engagement Cycle needs assessment, surveys, insights, action planning, and ROI measurement. Explain how EAP, Employee Engagement, and L&D solutions collectively address HR challenges like attrition, low morale, burnout, and skills gaps. Maintain awareness of trends and competitive offerings in corporate wellness, engagement platforms, and L&D technologies in India. 2. Lead Generation & Prospecting Execute a multi-channel lead generation strategy using inbound, outbound, referrals, events, and HR industry networks. Follow a disciplined follow-up cadence to ensure consistent pipeline movement and opportunity closure. Qualify prospects effectively based on HR priorities, budgets, and timelines. 3. Stakeholder Engagement (HR-Focused) Engage in high-value conversations with CHROs, HR Directors, Engagement Heads, and L&D teams. Understand their current EAP usage, engagement survey methods, and LMS/LXP investments. Map product features to the prospect s HR goals, demonstrating clear business impact. 4. Technical Knowledge & Platform Familiarity Familiarity with Employee Engagement Platforms : engagement surveys (pulse/annual), 360 feedback tools, recognition & rewards systems. Understanding of L&D Platforms : LMS (Cornerstone, Moodle, enterprise LMS) LXP (Degreed, EdCast, etc.) and how they support training, skill development, and career pathing. Qualifications & Skills Academic Requirements (Mandatory) Bachelor s degree (BBA or equivalent). MBA in Sales, Marketing, HR, or related fields is highly preferred. Experience Requirements (Mandatory) 3-5 years of experience in B2B Inside Sales / Sales Development . Must have on-ground sales experience selling one or more of the following to corporate clients in India: Employee Assistance Programs (EAP) Employee Engagement solutions Learning & Development Platforms (LMS/LXP) Strong understanding of the HR decision-making cycle for wellness, engagement, and training purchases. Core Skills Excellent communication and presentation abilities. Ability to run structured discovery calls with HR leadership. Strong follow-up discipline and pipeline management skills. Knowledge of HR tech platforms (Engagement, EAP, LMS/LXP). Ability to translate HR challenges into product-driven solutions.
We are looking for a highly motivated B.Sc. Mathematics (Hons) graduate to join the Qangles Academy Team . This role is ideal for academically strong candidates with excellent communication skills and a passion for mathematical concepts used in Quantum Computing. Key Responsibilities Support development of academic content for Quantum Academy modules. Create structured learning material, concept notes, exercises, and assessments. Convert complex mathematical concepts into simple, learner-friendly modules. Work closely with the senior team for research, content refinement, and quality checks. Ensure accuracy and clarity in all educational material. Participate in internal reviews and discussion sessions to fine-tune content. Required Qualifications B.Sc Mathematics (Hons) from a reputed college (Hyderabad preferred). Strong academic performance with deep understanding of core mathematics. Excellent verbal and written communication skills. Ability to learn quickly and work independently. Passion toward research, teaching, or conceptual explanation. Good to Have Interest in computational mathematics or quantum theories. Experience in academic writing or student mentoring.
CloudAngles is looking for a passionate AI/ML Engineer (R&D) with hands-on experience in building scalable, end-to-end AI systems . This role involves experimenting, prototyping, and engineering production-grade AI solutions across LLMs, Computer Vision, and advanced neural architectures. You will work closely with cross-functional teams to design, develop, and deploy innovative AI capabilities that power next-generation intelligent systems. Key Responsibilities Prior experience with neural networks and computer vision models Working experience with LLMs and associated tooling. Knowledge of LLM inference providers and associated integrations. Must possess strong system design acumen with a focus on engineering fundamentals. Should be able to design and build robust scalable systems. Should be able to translate problem statements into E2E design, development and delivery. An eagerness and appetite to keep on top of the developing AI space Hands on experience with technologies such as: Python, PyTorch, Langchain, Langraph, AutoGen, DSPy, Tracing and Eval tools. Inference backends such as Ollama, Llama.cpp, vLLM or others Integrations with inference providers such as OpenAI, Anthropic, VertexAI, DeepSeek etc. Training or fine tuning models using techniques such as LORA, SFT, DPO etc. Prototype building with Gradio, Streamlit . Database and schemas including vector databases: Great if any prior experience building use cases such as RAG, Graph RAG MLOps : Prompt management, deploying and maintaining AI models or workflows.
In this role, you ll be working hands-on with React Native, Context, and JavaScript bringing ideas to life and turning complex challenges into elegant solutions. You ll be part of a team that values innovation, quality, and a bit of fun along the way. Every day brings something new, and your contributions will directly impact how people interact with energy in their homes. The Day to Day: Developing and maintaining mobile applications using React Native that our customers love to use. Collaborating with designers, product managers, and backend developers to bring new features to life. Writing clean, scalable, and well-documented code that s built to last. Thriving in an agile setup with a dynamic team that values innovation and continuous improvement. Reviewing and enhancing existing functionality to keep things running smoothly and efficiently. Creating and maintaining automated tests to ensure our apps are robust and reliable. And because youre a senior in the game, youll also: Take a proactive role in new projects and exploratory work, helping shape the future of our mobile experience. Champion code quality by supporting the use of guidelines and testing frameworks across the team. Mentor junior developers, sharing your knowledge and helping them grow. About You: Solid hands-on experience with React Native building beautiful, functional mobile apps is your thing. A strong grasp of CI/CD pipelines to keep deployments smooth and efficient. Familiarity with modern test frameworks to ensure your code is as reliable as it is elegant. Comfort working in agile environments where collaboration and adaptability are key. A knack for designing robust, scalable systems that can handle real-world demands. Experience with React Query, Maestro, TypeScript, and JavaScript your toolkit is sharp and up-to-date. Working knowledge of AWS services like Lambda, AppSync, GraphQL, and other cloud-native tools that power scalable solutions.
We are hiring an experienced React.js Developer with strong front-end development skills and a solid understanding of backend concepts. The candidate must have hands-on experience with Material UI and SASS , along with working knowledge of Ant Design . Required Skills Strong proficiency in React.js , JavaScript (ES6+), and TypeScript. Material UI (Mandatory) - theming, styling, reusable components. SASS (Mandatory) - architecture, variables, mixins, responsive styling. Understanding of backend concepts (API structure, authentication, data flow). Experience with Git, build tools (Webpack/Vite), and debugging tools. Key Responsibilities Develop and maintain scalable UI components using React.js , Hooks, and modern JavaScript/TypeScript. Implement responsive and visually consistent interfaces using Material UI (Mandatory) and SASS (Mandatory) . Build and customize components using Ant Design. Integrate frontend with backend through REST/GraphQL APIs. Collaborate with backend, design, and product teams for end-to-end feature delivery. Optimize UI for performance, accessibility, and cross-browser compatibility. Good to Have Experience with Next.js, SSR, cloud basics (AWS/Azure). Knowledge of SQL/NoSQL databases and Node.js basics. Ant Design - component usage and customization.
CloudAngles Digital Transformation is building AI-powered enterprise and developer platforms that improve how software teams build, test, and deliver applications. We are looking for a hands-on Full Stack Engineer who can build high-quality user interfaces, scalable backend services, and support real-time, collaborative features. Technical Skills Required 3+ years of experience in Full Stack development Strong proficiency in React + TypeScript Hands-on experience with Node.js or Python backend development Experience designing and consuming REST APIs Proficiency in database design ( PostgreSQL, MongoDB ) Experience using Redis for caching or session management Hands-on experience with Docker and CI/CD pipelines Strong understanding of Git workflows and clean coding practices Good to Have Experience with Monaco Editor or CodeMirror Exposure to WebSockets / real-time systems Familiarity with GraphQL Exposure to Kubernetes (deployment/debugging level) Experience integrating AI/LLM APIs Experience building developer tools or internal platforms Key Responsibilities Frontend Development Build responsive, high-performance web applications using React / Next.js with TypeScript Integrate and customize Monaco Editor or CodeMirror for code-editing experiences Implement real-time features using WebSockets / Socket.io Develop reusable UI components and maintain consistent design patterns Optimize frontend performance for large files and complex workflows Backend Development Design and develop REST APIs for product features and integrations Build backend services using Node.js (Express/NestJS) or Python (FastAPI) Implement authentication, authorization, and user/session management Work with PostgreSQL for data persistence and Redis for caching Implement background jobs and asynchronous processing using BullMQ or similar tools Platform & Deployment Containerize applications using Docker Work with CI/CD pipelines (GitHub Actions / GitLab CI) Deploy and debug applications on AWS or GCP Collaborate with platform/DevOps teams on Kubernetes-based deployments Add basic observability using OpenTelemetry for logs and metrics
Job Summary: We are seeking a highly skilled Data Engineer with expertise in leveraging Data Lake architecture and the Azure cloud platform to develop, deploy, and optimize data-driven solutions. You will play a pivotal role in transforming raw data into actionable insights, supporting strategic decision-making across the organization. Key Responsibilities Develop and optimize scalable data pipelines using Python and PySpark Build and orchestrate data workflows with Azure Data Factory Design and implement solutions using Azure Databricks and Synapse Analytics Manage and maintain data storage solutions in Azure Data Lake Storage Gen2 , leveraging cost-efficient architecture Implement and manage CI/CD pipelines using Azure Logic Apps , with integration of tools such as Azure DevOps , GitHub Actions , or Jenkins Model and maintain Medallion Architecture across Bronze, Silver, and gold layers based on business requirements Collaborate with data scientists, analysts, and business stakeholders to ensure reliable data availability Monitor and optimize performance and cost efficiency of data solutions across the ecosystem Required Skills & Experience Strong proficiency in Python and PySpark for data manipulation and transformation Hands-on experience with Azure Data Factory , Azure Databricks , and Synapse Analytics Familiarity with Azure Logic Apps for CI/CD pipeline management Knowledge of CI/CD tools such as: Azure DevOps Pipelines GitHub Actions Jenkins Expertise in managing Azure Data Lake Storage Gen2 environments with emphasis on security and cost optimization Deep understanding of Medallion Architecture principles: Bronze Layer : Raw data ingestion Silver Layer : Cleansed, enriched, and business-ready data Gold Layer : Aggregated and analytics-ready data models Strong problem-solving and communication skills Experience on Cost optimization
We are hiring Data Engineer with strong experience in building scalable data pipelines and BI dashboards using Snowflake, SQL, Power BI/MicroStrategy . Key Responsibilities Build and maintain data pipelines using Snowflake, SQL, Kafka , etc. Develop and enhance Power BI / MicroStrategy dashboards. Extract, cleanse, and load data from multiple sources. Investigate and document new data sets. Triage bugs/incidents and troubleshoot data issues. Monitor pipeline health and raise alerts proactively. Implement data quality rules to ensure accuracy. Participate in sprint planning, estimation, and team ceremonies. Skills Required Strong SQL & Snowflake experience. Hands-on with Power BI or MicroStrategy. Experience with ETL/ELT, data modelling, and pipeline troubleshooting. Knowledge of Kafka or similar data streaming tools. Good communication, documentation, and Agile experience.
About the Role We re building a multi-channel communication and relationship management platform for Healthcare Providers. We are looking for a CRM Implementation Specialist who can design, configure, and deploy CRM systems using Zoho, Salesforce, or other low-code tools. What You Will Do Design CRM modules, workflows, and data models. Configure core modules: Contacts, Activities, Communication, Templates, Dashboards. Build automation for reminders, follow-ups, campaigns, and task routing. Integrate WhatsApp/SMS/Voice APIs (Exotel, Ozonetel, Gupshup, Twilio, etc.). Set up two-way communication, templates, and personalized messaging. Implement dashboards to track engagement and operational KPIs. Run UAT, troubleshoot issues, and ensure smooth deployment. Document workflows and train internal teams. What You Need (Must-Have) Experience implementing Zoho CRM, Salesforce, HubSpot , or similar low-code CRMs. Strong hands-on knowledge of Zoho One (CRM, Creator, Flow, Campaigns, Desk) or Salesforce Service Cloud. Experience integrating communication channels (WhatsApp/SMS/Voice). Strong understanding of CRM automation, workflows, and API integrations. Ability to convert real business processes into CRM workflows. 5-8 years of CRM implementation or process automation experience. Bachelor s degree in Engineering, Computer Science, or related fields.
About the Role CloudAngles Digital Transformation is building a next-generation AI-powered code editor that transforms how developers write, understand, and collaborate on code. We are looking for a Senior AI Engineer who will design and implement AI-native capabilities deeply embedded into the developer workflow. This role sits at the intersection of AI/LLMs, developer tooling, and real-time systems . You will work closely with Full Stack and Platform Engineers to architect intelligent code assistance features that are fast, reliable, and production-ready. Technical Skills Required 5-8 years of software engineering experience with strong proficiency in Python 3+ years of hands-on experience working with LLMs and their APIs (OpenAI, Anthropic, Llama, etc.) Strong understanding of code editors / IDE architectures (VS Code, IntelliJ, or similar) Hands-on experience with Language Server Protocol (LSP) , ASTs, and code analysis Experience with prompt engineering , context optimization, and RAG systems Proficiency with vector databases (Pinecone, Weaviate, Chroma, or similar) Experience building low-latency, real-time systems (WebSockets, streaming responses) Strong understanding of distributed systems, caching, and performance optimization Key Responsibilities AI Integration & Architecture Design and implement LLM integration architectures for code completion, generation, and editing Build prompt engineering frameworks with context management for large, multi-file codebases Implement retrieval-augmented generation (RAG) for codebase-aware AI suggestions Develop semantic code understanding using ASTs, static analysis, and LSP Build agent-based workflows for tasks such as refactoring, debugging, and code review Core Editor & AI Features Develop AI-assisted real-time editing and collaboration features Build inline AI chat interfaces, code explanations, and contextual actions Implement AI-powered refactoring, diff handling, and review workflows Enable intelligent code navigation and semantic search Performance, Reliability & Cost Optimization Optimize LLM inference latency for real-time usage Implement caching strategies for embeddings and completions Build token usage optimization and AI cost-control mechanisms Implement streaming responses and graceful fallback strategies Developer Experience & Platform Design intuitive UX flows for AI-assisted coding Enable customization of AI behavior through preferences and fine-tuning Implement telemetry and analytics to monitor usage and model performance Build extensibility frameworks for plugins and third-party integrations Ensure security best practices around AI usage (PII handling, prompt injection) Good to Have Experience with fine-tuning techniques (LoRA, QLoRA, PEFT) Familiarity with agentic frameworks (LangChain, LlamaIndex, AutoGen) Experience with Electron or Tauri for desktop applications Knowledge of compiler concepts, static analysis, or program synthesis Exposure to observability tools (OpenTelemetry, Prometheus, Grafana) Contributions to open-source AI or developer tooling projects Experience with billing, metering, or usage-based AI systems
About the Role We are looking for an experienced iOS Engineer who can build intelligent, context-aware mobile experiences by integrating Vision models, Speech systems, and heuristic decision logic . You will work at the intersection of ML + mobile engineering , delivering smooth, on-device and cloud-enhanced AI features for next-generation iOS applications. Key Responsibilities Build and maintain iOS apps that leverage computer vision, speech recognition, and Core ML models. Deploy and optimize Core ML, Vision, Speech frameworks for real-time, low-latency inference. Implement heuristics and rule-based logic to refine model outputs and improve accuracy. Collaborate with AI and backend teams to integrate multimodal ML models (vision, speech, text). Partner with designers to convert ML capabilities into intuitive user experiences. Profile and optimize app performance: inference speed, memory, CPU/GPU usage, battery impact. Contribute to CI/CD pipelines and testing frameworks for ML-driven mobile features. Stay updated on Apple s latest ML technologies (Core ML tools, Neural Engine, Create ML). Required Qualifications Bachelor s/Master s degree in CS, EE, or related fields. 7-9 years of professional iOS development (Swift, SwiftUI/UIKit). Proven experience with Core ML, Vision, and Speech frameworks. Experience converting ML models to Core ML (PyTorch/TensorFlow Core ML). Strong understanding of heuristics, hybrid rule/model pipelines , and decision systems. Solid knowledge of async programming, memory management, and performance tuning. Experience integrating SDKs/APIs for ASR, object detection, scene analysis , etc.
Job Description We are seeking a Senior Data Scientist with deep expertise in time series forecasting, Python, and Azure cloud services. The ideal candidate will have strong hands-on experience with Databricks, MLflow, and SQL, and will be responsible for designing, building, and deploying scalable machine learning solutions. This role requires proficiency in handling large datasets, implementing MLOps best practices, and exploring advanced AI/LLM-based solutions when needed. Key Responsibilities Lead design and implementation of advanced time series models (SARIMAX, Prophet, XGBoost, LSTM, TFT) for forecasting and anomaly detection across large-scale datasets. Perform deep feature engineering for time series data, including lag features, rolling statistics, seasonality decomposition, and handling irregular intervals. Develop and optimize data pipelines using Azure Data Factory (ADF), Synapse, and ADLS Gen2 for ingestion and transformation of high-volume data. Build and manage Databricks workflows for data preparation, model training, and deployment using PySpark and Delta Lake. Implement MLOps practices using MLflow for experiment tracking, model registry, and lifecycle management. Design robust backtesting strategies for time series models (rolling windows, expanding windows, cross-validation).Write efficient and maintainable Python code leveraging core concepts (OOP, type hints, performance tuning). Develop and optimize SQL queries for analytics and reporting on large datasets. Ensure data governance, security, and compliance across Azure services and Databricks. Monitor and maintain production models, including drift detection, automated retraining, and alerting. Optimize Spark jobs and cluster configurations for cost and performance efficiency. Collaborate with cross-functional teams to translate business problems into ML solutions. Explore and prototype LLM-based solutions (Azure OpenAI) for advanced analytics use cases. Implement model explainability techniques (SHAP, LIME) and ensure transparency in predictions. Required Skills Python (Advanced) - Core concepts, OOP, performance optimization Time Series Modeling - SARIMAX, Prophet, XGBoost, LSTM, TFT Azure Services - ADF, Synapse, ADLS Gen2 Databricks - Jobs, Delta Lake, Unity Catalog MLflow - Experiment tracking, model registry, lifecycle management SQL (Advanced) - Query optimization, analytics MLOps - CI/CD pipelines, automated retraining, drift monitoring PySpark - Large-scale data processing and optimization LLM/GenAI (Optional) - Azure OpenAI, RAG-based solutions Strong understanding of data governance, security, and cost optimization Required Skills Forecasting Pyspark LSTM Time Series Python Synapse MLOps Databricks ADF Azure
Job Summary We are seeking a creative and detail-oriented Graphic Designer to join our team. The ideal candidate will bring ideas to life through visually compelling designs across digital and print platforms. You will collaborate with marketing, product and creative teams to deliver innovative visual solutions that engage our audience and elevate our brand identity. Key Responsibilities: Develop and execute creative concepts for digital and print materials including social media graphics, websites, email campaigns, advertisements, brochures and presentations. Maintain consistency with brand guidelines while producing fresh, innovative designs. Collaborate with cross-functional teams to understand project requirements and deliver on objectives. Manage multiple projects simultaneously, ensuring deadlines and quality standards are met. Stay current with design trends, tools and technologies to enhance creative output. Prepare files for print and digital distribution, ensuring high-quality production standards. Provide input on marketing campaigns, visual storytelling and user experience design. Qualifications: Bachelor s degree in Graphic Design, Visual Arts or a related field (or equivalent experience). 1 - 3 years of proven experience as a Graphic Designer with a strong portfolio showcasing creative work. Proficiency in Adobe Creative Suite (Photoshop, Illustrator, InDesign, After Effects) and other design tools. Strong understanding of typography, colour theory, layout and branding. Excellent communication, time management and organizational skills. Ability to work both independently and collaboratively in a fast-paced environment. Knowledge of web design, UI/UX principles, and motion graphics is a plus.
Key Responsibilities 1. Marketing Qualified Leads (MQLs) Execute targeted demand-generation campaigns to drive high-quality MQLs. Collaborate with sales teams to refine MQL definitions and lead nurturing workflows. Track, measure, and report lead-to-opportunity conversion metrics. 2. Content Development Research, draft, and publish whitepapers, case studies, blogs, and thought-leadership material. Create use-case-driven demo scripts and collateral tailored to buyer personas (CIOs, CTOs, QA Managers, Data Scientists, etc.). Develop LinkedIn campaigns, email content, event collaterals, and sales outreach copy. 3. Go-To-Market (GTM) Execution Contribute to GTM plans for product launches and new feature rollouts. Build persona-aligned sales decks and pitch assets for industries such as Pharma, BFSI, Manufacturing, and more. Work closely with product and engineering teams to ensure messaging aligns with market needs. 4. Sales Enablement Provide sales teams with battle cards, pitch decks, demo narratives, and competitive intelligence. Participate in customer conversations to support platform storytelling and articulate business value. Translate product capabilities into impact-driven outcomes that influence client decisions. 5. Event Campaign Support Support the execution of webinars, LinkedIn Lives, industry events (e.g., Q2B, FinOps expos), and product showcases. Manage marketing automation tools such as Apollo, ActiveCampaign, and LinkedIn Ads for lead outreach and engagement. Monitor campaign ROI and optimize strategies for improved conversions. Core Skills Strong B2B SaaS/technology marketing orientation with a sales-driven approach. Proficiency in creating structured content: whitepapers, case studies, blog articles, and pitch decks. Hands-on exposure to MarTech/CRM tools (HubSpot, Apollo, LinkedIn Sales Navigator, GA4, etc.). Foundational understanding of cloud, AI/ML, data platforms, and quantum technologies (training will be provided). Analytical mindset with the ability to interpret funnel metrics and campaign performance. Excellent written, verbal, and presentation communication skills. Role Expectations Deliver a consistent flow of high-quality MQLs contributing to pipeline growth. Build a strong repository of persona-based content (blogs, demos, whitepapers). Support measurable uplift in customer conversions through compelling marketing assets. Maintain strong collaboration with sales teams and receive positive feedback on enablement materials. Demonstrate ownership of end-to-end platform marketing initiatives.
Key Responsibilities: Design, develop, and maintain scalable applications using .NET Core and C# Develop and deploy serverless applications using Azure Functions Build and optimize Azure DevOps Pipelines for CI/CD automation Implement GitHub Actions and version control strategies Work with cloud-based SQL and NoSQL databases Develop and manage Azure Logic Apps, Azure Data Factory, and Azure Service Bus Queues Ensure secure application development using Azure Key Vault and Azure Application Insights Manage containerized applications using Azure Container Registry Implement Azure Event Grid for event-driven workflows Utilize Azure Storage Accounts for scalable data storage solutions Work on batch processing using Azure Batch Accounts Troubleshoot, optimize, and monitor applications for performance and security Required Skills Experience: Hands-on experience in .NET development with C# and .NET Core , Experience with SQL databases and NoSQL solutions Hands-on experience with Azure Functions, Logic Apps, and Data Factory Proficiency in Azure DevOps Pipelines and GitHub Actions for CI/CD Expertise in cloud security best practices using Azure Key Vault Experience working with event-driven architecture using Azure Service Bus Event Grid Ability to work with containerized applications and Azure Container Registry Strong problem-solving and debugging skills in cloud-based applications Key considerations for Screening profiles for Interview: - Candidate must have 5 + years of experience - Azure DevOps Expertise (Must-have) For APIM: Experience in API gateway setup, policies, security, and monitoring. For DevOps: Strong knowledge of CI/CD pipelines, GitHub Actions, and infrastructure automation. - Azure Cloud Services Hands-on Experience Ensure candidates have worked with Azure Functions, Azure Logic Apps, Azure Data Factory, Azure Storage, and Service Bus.