Job highlights

- . Frameworks / Technologies: Spring,Spring Boot,Spring Batch,Hibernate / MyBatis,JPA,MVC,Microservices,Web Services,REST API,Java Script,JQuery,CSS,ReactJS / AngularJS,Testing Frameworks,CI / CD Pipeline,Jenkins,Docker . App Servers: JBoss / Weblogic / WebSphere / Tomcat
- Experience in Big Data technologies,and Advanced Coursework in AI and Machine Learning would be a plus

Responsibilities:

- Collaborating with engineering and development teams to evaluate and identify optimal cloud solutions.
- Migrating existing applications to Azure cloud platform
- Modifying and improving existing systems.
- Educating teams on the implementation of new cloud technologies and initiatives.
- Designing, developing, and deploying modular cloud-based systems.
- Developing and maintaining cloud solutions in accordance with best practices.
- Ensuring effective functioning of data storage and processing functions in accordance with company security policies and best practices in cloud security.
- Identifying, analyzing, and resolving infrastructure vulnerabilities and application deployment issues.
- Review business requirements and understand business solution.
- Regularly reviewing existing systems and making recommendations for improvements.
- Interacting with clients, providing cloud support, and making recommendations based on client needs.

Technical Expertise and Familiarity:

- Cloud Technologies: Azure, AWS, VMWare, Google Cloud, Oracle Cloud
- Real-time Streaming: Apache Kafka
- Java: Core Java, Java EE/J2EE, JSP, Servlets, JDBC, JMS, AJAX, JSON, XML, Apache AXIS, JUNIT
- Microsoft: .NET Core, ASP.NET, C#, NUNIT.
- Frameworks/Technologies: Spring, Spring Boot, Spring Batch, Hibernate/MyBatis, JPA, MVC, Microservices, Web Services, REST API, Java Script, JQuery, CSS, ReactJS/AngularJS, Testing Frameworks, CI/CD Pipeline, Jenkins, Docker




- App Servers: JBoss / Weblogic / WebSphere / Tomcat. Web Servers: Apache/IIS.
- IDEs: Eclipse, STS, Android Studio, Visual Studio, RStudio and PyCharm
- Databases: Oracle, MySQL, NoSQL Databases such as MongoDB, In-memory Processing, Azure database, Big Data.
- O/S: Linux, Unix, Windows.
- Experience in Big Data technologies, and Advanced Coursework in AI and Machine Learning would be a plus.
- Azure, AWS, and GCP certifications preferred.

Soft Skills:

- Adaptability, Communication, Teamwork, Time Management, Critical Thinking.

Abilities:

- Architectural view ability to see the forest, the trees, the relationships, and the
- Defining and enabling the forward technical leaps by providing pragmatic solutions, considering current realities and transition
- Excellent ability to write clear, precise, and engaging documents and
- Exceptional presentation capabilities. Articulating complex subjects to technical and non- technical audiences in a clear and concise
- A believer in and practitioner of standards and best practices and a stickler for
- Gains team s respect and creates consensus through passion, knowledge sharing, advanced thinking and empathy towards multiple stakeholders priorities and constraints.

Key Experiences:

- Experience of data center migration to Cloud infrastructure. Migrating existing applications in .Net, Java, R and Python to Azure Cloud platform.
- Experience in Real-time Streaming technologies.
- Experience with CI/CD pipeline, Jenkin
- Complete solution life cycle participation (Ideation, Requirements Elicitation, Architecture, Data Structure and Algorithm Design, Development, Testing, Deployment, Implementation, Training, Change Management, Monitoring and Enhancement).
- Developing enterprise solutions using REST APIs and Microservices.
- Deep knowledge of Design and Architectural.
- Familiarity with Design.

📌 Senior Azure Cloud Engineer (Mumbai)
🏢 Pristine Infotech
📍 Mumbai