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Hewlett Packard Enterprise is seeking a Cloud Engineer for Security Service Edge (SSE) to design and develop high-quality software applications, contribute to architectural decisions, and optimize data pipelines. The role involves collaboration, mentorship, and a focus on Agile development practices.
Job Responsibility:
Design, develop, test, and maintain robust, scalable, and high-quality software applications
Contribute to architectural decisions, ensuring efficient system design and implementation
Design and optimize data pipelines, integrating structured and unstructured data sources into data lakes
Write clean, maintainable, and well-documented code while enforcing coding standards and best practices (SOLID principles, TDD, CI/CD)
Identify bottlenecks and optimize application performance, scalability, and security
Mentor junior developers, conduct code reviews, and promote knowledge sharing within the team
Work closely with product managers, designers, DevOps, and QA teams to deliver high-quality software solutions
Troubleshoot and resolve complex technical issues across different components of the software stack
Participate in Agile methodologies, including sprint planning, daily stand-ups, and retrospectives
Requirements:
5+ years of professional software development experience
Proficiency in one or more languages such as C#, JavaScript/TypeScript, or Go
Experience with frameworks such as .NET Core & React
Strong understanding of relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases
Strong experience in building RESTful APIs and microservices architectures
Experience working with one of the leading vendors for big data processing, analytics, and storage (advantage)
Experience with AWS, Azure, or Google Cloud Platform (advantage)
Understanding of secure coding practices and data protection regulations (advantage)
Experience with unit testing, integration testing, and automated testing frameworks (advantage)
Experience with Docker, Kubernetes, Gitlab, or other CI/CD tools (advantage)
Bachelor's or Master’s degree in Computer Science, Software Engineering, or relevant army training (advantage)
Nice to have:
Experience working with one of the leading Data Lake & Warehouse vendors for big data processing, analytics, and storage
Experience with any of the leading cloud platforms AWS, Azure, or Google Cloud Platform (GCP)
Understanding of secure coding practices and data protection regulations
Experience with unit testing, integration testing, and automated testing frameworks
Experience with Docker, Kubernetes, Gitlab, or other CI/CD tools
Experience in distributed systems, event-driven architecture, or message queues (Kafka, RabbitMQ)
Knowledge of front-end development (React, Vue.js, or Angular)
Contributions to open-source projects or personal coding projects
Familiarity with observability and monitoring tools like Prometheus, Grafana, or Datadog
What we offer:
Health and wellbeing benefits
Comprehensive suite of benefits that supports physical, financial, and emotional wellbeing
Specific programs catered to helping you reach career goals
Flexibility to manage work and personal needs
Inclusive work environment that celebrates individual uniqueness
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