Azure Services Jobs in Bangalore

Dynamics 365 Project Operations Technical Consultant / Lead

SACHA Engineering•

Bengaluru

+4 More

Other Locations4 cities

Mumbai

Pune

Chennai

Hyderabad

•full time

Job Summary We are seeking a highly skilled and experienced Dynamics 365 Project Operations Technical Consultant / Lead to join our dynamic team. This is a hybrid role within the IT / Technology industry. The ideal candidate will possess a strong technical background and a proven ability to lead and deliver complex Dynamics 365 implementations. Key Responsibilities While specific responsibilities are not detailed, this role will involve leveraging expertise in Dynamics 365 Project Operations to support project delivery and client success. The candidate will be expected to apply their technical skills to solve complex problems and contribute to the overall success of our projects. Required Skills & Qualifications Dynamics 365 Project Operations : Demonstrated proficiency in configuring and customizing Dynamics 365 Project Operations to meet specific business requirements. Power Platform : Expertise in utilizing the Power Platform suite of tools, including Power Apps , Power Automate , and Power BI , to build custom solutions and automate workflows. Integrations : Experience in designing and implementing integrations between Dynamics 365 and other systems, including SAP and Third-Party Applications . Reporting : Ability to create and customize reports and dashboards using Power BI and other reporting tools to provide insights into project performance. Enterprise Application Development : Solid understanding of C# , .NET , and JavaScript for developing custom solutions and extensions within the Microsoft Dynamics 365 environment. Plugins : Experience developing and deploying Plugins to extend Dynamics 365 functionality. Power Fx : Proficiency in Power Fx for building custom applications within the Power Platform . Dataverse : Strong understanding of Dataverse , including data modeling and security. REST APIs : Ability to work with REST APIs to integrate Dynamics 365 with external systems. Azure Services : Familiarity with Azure Services for deploying and managing Dynamics 365 solutions. Dataflows : Experience using Dataflows to prepare and transform data for analysis. Data Migration , Data Transformation , Data Synchronization : Skills in managing and transforming data within Dynamics 365 . Project Planning , Resource Management , Project Contracts , Time & Expense , Budgeting , Project Accounting : Understanding of project management principles and practices. Agile , DevOps , CI/CD : Experience working in Agile environments and utilizing DevOps practices, including CI/CD . AI Builder , Copilot Studio : Familiarity with AI Builder and Copilot Studio for building intelligent applications. Microsoft Dynamics 365 : Comprehensive knowledge of the Microsoft Dynamics 365 platform. Analytical Skills : Ability to analyze data and identify trends and insights. Problem-Solving Skills : Strong problem-solving skills with the ability to troubleshoot and resolve technical issues. Communication Skills : Excellent written and verbal communication skills. Stakeholder Management Skills : Ability to effectively manage and communicate with stakeholders at all levels. Customer Sales : Understanding of customer sales processes. Experience Required : The ideal candidate will have 6-10 years of relevant experience in a similar role, demonstrating a strong track record of successful Dynamics 365 implementations. This level of experience is expected to include leading technical teams and mentoring junior colleagues. What We Offer Salary : 22 LPA

Principal Java Engineer

SACHA Engineering•

Chennai

•full time

Job Summary We are seeking a highly skilled and experienced Java Expert to join our dynamic team. This is a hybrid role requiring a blend of remote and on-site work. The ideal candidate will possess a deep understanding of Java and related technologies, with a proven ability to design, develop, and deploy robust and scalable applications within an IT / Technology environment. Key Responsibilities The Java Expert will be responsible for a range of tasks including designing and implementing complex Java -based solutions, participating in architectural discussions, and mentoring junior developers. This role requires a proactive approach to problem-solving and a commitment to delivering high-quality code. Required Skills & Qualifications Java : Extensive experience in Java development, including a strong understanding of core Java concepts and best practices. Jakarta EE : Proficiency in utilizing Jakarta EE technologies for building enterprise-grade applications. Domain-Driven Design : Ability to apply Domain-Driven Design principles to create maintainable and scalable software. Cloud-Native Systems : Experience designing and developing Cloud-Native Systems for optimal performance and scalability. Java SE : Solid foundation in Java SE fundamentals. JPA : Proficiency in using JPA for object-relational mapping. CDI : Experience with CDI for dependency injection. EJB : Knowledge of EJB for enterprise Java beans. JAX-RS : Ability to develop RESTful APIs using JAX-RS . Application Servers: Experience with application servers such as WebSphere Liberty , Payara , and WildFly . Microservices Architecture : Deep understanding of Microservices Architecture principles and patterns. Distributed Systems : Experience in designing and implementing Distributed Systems . Cloud Platforms: Experience with cloud platforms including AWS , Azure , and GCP . Containerization: Proficiency in using Docker for containerization. Orchestration: Experience with Kubernetes for container orchestration. Event-Driven Architectures : Ability to design and implement Event-Driven Architectures . Messaging Systems : Experience with Messaging Systems such as Kafka and RabbitMQ . API Design : Strong skills in API Design principles. RESTful : Proficiency in developing RESTful APIs. GraphQL : Knowledge of GraphQL for querying APIs. CI/CD Pipelines : Experience in building and maintaining CI/CD Pipelines . DevOps Practices : Familiarity with DevOps Practices . Version Control: Proficiency in using Git for version control. Automation: Experience with Jenkins for automation. Analytical Skills : Strong Analytical Skills for problem-solving. Problem-solving Skills : Excellent Problem-solving Skills . Debugging Skills : Proficient Debugging Skills . Communication Skills : Effective Communication Skills . Leadership Skills : Demonstrated Leadership Skills . Reactive Frameworks: Experience with reactive frameworks such as Spring WebFlux , Quarkus , and Micronaut . NoSQL Databases : Experience with NoSQL Databases such as MongoDB and Cassandra . In-Memory Data Grids : Knowledge of In-Memory Data Grids such as Hazelcast and Redis . Security Frameworks : Experience with Security Frameworks such as OAuth2 and OpenID Connect . Observability Tools : Familiarity with Observability Tools such as Prometheus , Grafana , and ELK Stack . Experience Required: The ideal candidate will have 7 - 15 years of experience in Java development, demonstrating a high level of proficiency and a proven track record of success in delivering complex projects. This level of experience is expected to include leading technical initiatives and mentoring junior team members. What We Offer Salary: 50 LPA

AI Build Engineer

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•full time

Job Summary We are seeking a skilled and experienced AI Build Engineer to join our dynamic team. This role will be responsible for building and deploying cutting-edge AI solutions, leveraging a variety of technologies and methodologies. The ideal candidate will possess a strong foundation in software engineering principles and a passion for AI innovation. Key Responsibilities The AI Build Engineer will be responsible for the design, development, and implementation of AI applications. This includes collaborating with cross-functional teams to define requirements, designing and building robust and scalable AI solutions, and ensuring the quality and reliability of deployed AI models. The role also involves continuous monitoring and optimization of AI systems to ensure peak performance and alignment with business objectives. Required Skills & Qualifications Programming Languages: Proficiency in multiple programming languages including Python , JavaScript , TypeScript , and C# . This includes the ability to write clean, efficient, and well-documented code. Large Language Models (LLMs): A strong understanding of LLMs and their application in various use cases. Retrieval-Augmented Generation (RAG): Experience with RAG techniques to enhance the capabilities of LLMs . Prompt Engineering: Expertise in Prompt Engineering to design effective prompts for LLMs . Vector Databases: Familiarity with Vector Databases and their use in storing and retrieving vector embeddings. Agentic AI: Knowledge of Agentic AI principles and their application in building autonomous agents. Cloud Platforms: Experience with cloud platforms such as Azure and AWS , including Azure AI Services , Azure OpenAI , AWS Bedrock , and Vertex AI . Containerization & Orchestration: Proficiency in Docker and Kubernetes for containerizing and orchestrating AI applications. DevOps & CI/CD: Experience with DevOps practices and CI/CD pipelines using tools like GitHub Actions and Azure DevOps . MLOps: Understanding of MLOps principles and best practices for managing the ML lifecycle. AI Application Integration: Ability to integrate AI applications into existing systems and workflows. Testing & Monitoring: Experience with AI-infused testing , Monitoring , and Observability tools and techniques. Governance: Understanding of Governance principles related to AI systems. API & Microservices: Experience with API development and Microservices architectures. Additional Skills: Familiarity with MCP , Playwright , and AI copilots . Qualifications: Possession of AI/Cloud certifications such as Azure AI Engineer or AWS ML is highly desirable. Experience Required: We are seeking candidates with 5-10 years of relevant experience in software engineering and AI development. This level of experience should demonstrate a proven ability to design, build, and deploy complex AI solutions in a production environment. What We Offer The role is onsite .

AI Build Engineer (GenAI / Agentic AI / AI Automation)

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•Full-time

Job Summary We are seeking a skilled and experienced AI Build Engineer to join our growing team. This role will focus on the development and implementation of cutting-edge AI solutions, specifically within the realms of GenAI , Agentic AI , and AI Automation . The ideal candidate will possess a strong foundation in software engineering principles and a passion for leveraging AI to solve complex business challenges. This position is located in Bengaluru, Chennai, or Hyderabad. Key Responsibilities The AI Build Engineer will be responsible for designing, building, and deploying AI -powered applications and systems. This includes collaborating with cross-functional teams to define requirements, developing robust and scalable solutions, and ensuring the ongoing performance and reliability of deployed systems. The role demands a proactive approach to problem-solving and a commitment to delivering high-quality AI solutions. Required Skills & Qualifications Programming Languages: Proficiency in multiple programming languages is essential, including Python , JavaScript , TypeScript , and C# . Experience should demonstrate the ability to write clean, efficient, and well-documented code. Large Language Models (LLMs): A strong understanding of LLMs and their application in various use cases. Retrieval Augmented Generation (RAG): Experience implementing RAG architectures to enhance LLM capabilities with external knowledge sources. Prompt Engineering: Expertise in crafting effective prompts to elicit desired responses from LLMs . Vector Databases: Familiarity with vector databases and their use in storing and querying vector embeddings. Agentic AI: Experience in developing and deploying Agentic AI systems, leveraging autonomous agents to perform complex tasks. Model Context Protocol (MCP): Understanding of MCP and its role in managing AI model context. Testing & Automation: Experience with Playwright and AI-infused testing solutions to ensure the quality and reliability of AI systems. Frameworks & Libraries: Proficiency in utilizing frameworks and libraries such as LangChain and LangGraph for building LLM -powered applications. Cloud Platforms: Experience with Azure OpenAI , AWS Bedrock , and Vertex AI for developing and deploying AI models. Containerization & Orchestration: Solid understanding of Docker and Kubernetes for containerizing and orchestrating AI applications. DevOps & CI/CD: Experience with GitHub Actions and Azure DevOps for implementing CI/CD pipelines. MLOps: Knowledge of MLOps principles and practices for managing the entire ML lifecycle. AI Copilots: Familiarity with AI copilots and their integration into development workflows. Autonomous Agents: Experience in designing and implementing autonomous agents for various tasks. API & Microservices: Experience designing and building APIs and microservices for AI applications. Infrastructure: Understanding of monitoring , observability , and governance best practices for AI systems. Security: Commitment to building secure and responsible AI solutions. Analytical & Problem-Solving Skills: Strong analytical skills and problem-solving skills to effectively troubleshoot and resolve issues. Communication Skills: Excellent communication skills to effectively collaborate with cross-functional teams. Experience Required: 5 - 10 years of experience in software engineering with a focus on AI development. This level of experience is expected to demonstrate a proven ability to design, build, and deploy complex AI systems. The candidate should be comfortable working independently and as part of a team, and possess a strong understanding of software development best practices. Qualifications: AI/Cloud certifications ( Azure AI Engineer , AWS ML , etc.) are preferred. What We Offer Salary:

AI Build Engineer

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•full time

Job Summary We are seeking a skilled and motivated AI Build Engineer to join our growing team. This role will focus on building, deploying, and maintaining robust and scalable AI solutions. The ideal candidate will possess a strong foundation in software engineering principles and a passion for leveraging cutting-edge AI technologies. Key Responsibilities The AI Build Engineer will be responsible for the following: Developing and implementing AI models and applications using various programming languages and frameworks. Building and maintaining robust CI/CD pipelines for automated testing, building, and deployment of AI models. Ensuring the quality and reliability of AI solutions through rigorous testing and monitoring . Collaborating with cross-functional teams to define, design, and ship new features. Implementing and maintaining governance policies for AI models. Required Skills & Qualifications To be successful in this role, candidates must possess the following skills and qualifications: Proficiency in programming languages including Python , JavaScript , TypeScript , and C# . Experience with large language models ( LLMs ) and related techniques such as RAG (Retrieval Augmented Generation) and Prompt Engineering . Solid understanding of vector databases and their application in AI systems. Familiarity with Agentic AI concepts and implementation. Experience with Model Context Protocol (MCP) . Experience with testing frameworks such as Playwright . Experience with frameworks such as LangChain and LangGraph . Experience with cloud-based AI services including Azure OpenAI , AWS Bedrock , and Azure AI Services , and Vertex AI . Strong experience with containerization technologies such as Docker and orchestration platforms like Kubernetes . Experience with version control systems such as GitHub Actions and Azure DevOps . Knowledge of MLOps principles and practices. Familiarity with AI copilots and Autonomous agents . Experience with AI-infused testing solutions . Understanding of API design and development. Experience building Microservices architectures. Strong Analytical Skills , Problem-Solving Skills , and Communication Skills . Experience Required: 5 - 10 years of experience in software engineering with a focus on AI/ML. This level of experience indicates a seasoned professional capable of independently designing, developing, and deploying complex AI solutions. The candidate should be comfortable working in a fast-paced environment and collaborating with a diverse team of engineers and researchers. What We Offer Salary: