Senior Azure Cloud Engineer
Role: Azure Cloud Engineer / Senior Azure Cloud Engineer
Experience: 4 – 10 years
Qualification: Bachelor or Masters in computer science.
Job Type: Permanent, Full Time
Industry: IT – SaaS, Retail
PRISTINE IS LOOKING FOR – Senior Azure Cloud Engineers
Pristine Retail Solutions. Headquartered in Boston, Pristine is a pioneering AI solutions provider to the North American Retail and Consumer Product industries. Our customers are going through rapid business transformations. We are on a mission to provide true next generation AI based real-time solutions platform to empower our customers to win in their markets. With our superior AI expertise, we plan to leverage AI in every aspect of our platform including User Experience and Recommendation Engines. We are determined to lead the industry in transitioning from rules-driven/procedural solutions to scalable self-learning AI platforms.
Everyday our SaaS platform receives and learns from 40 million+ new transactions, representing 12,000+ stores and 35 million customers. To realize our ambitions, we are looking for exceptional senior Azure Cloud engineers who have passion for developing and migrating end-to-end solutions that position our customers to win. You will work with top notch Retail Business Experts, Data Scientists and Solution Engineers.
Responsibilities:
▸ 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 efficient 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:
▸ 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:
Abilities:
▸ 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 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.
Remunerations and Benefits:
▸ Work with amazingly talented and driven Retail Business Practitioners, Consumer Behavior Analysts, AI Scientists and Engineers.
▸ Annual 2 Weeks Study Time
▸ Competitive salaries and generous equity.