Senior Software Engineer - Cloud, AI/ML, Analytics

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Job Overview

The Senior Software Engineer - Cloud, AI/ML, Analytics at Oracle will be instrumental in designing, developing, and deploying innovative software solutions that leverage cloud technologies and artificial intelligence/machine learning capabilities. This role will require collaboration with cross-functional teams to identify business challenges and create scalable solutions that drive efficiency and enhance data-driven decision-making. The successful candidate will play a key role in shaping the future of Oracle's software offerings while ensuring high performance, reliability, and security of the applications being developed.

Job Responsibilities

• Design, develop, and implement cloud-based applications focused on AI/ML and analytics.
• Collaborate with product managers and stakeholders to understand requirements and translate them into technical solutions.
• Utilize coding best practices to ensure software quality, scalability, and maintainability.
• Conduct code reviews and provide constructive feedback to junior engineers.
• Perform troubleshooting and debugging of software issues and suggest improvements.
• Stay updated with the latest trends and advancements in cloud technologies and AI/ML frameworks.
• Contribute to the architecture and design of software solutions, ensuring alignment with Oracle's standards.
• Document development processes, code changes, and software functionality for team knowledge sharing.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• A minimum of 5 years of experience in software development, with a focus on cloud applications and AI/ML technologies.
• Proficiency in programming languages such as Java, Python, or JavaScript.
• Experience with cloud platforms, specifically Oracle Cloud, AWS, or Azure.
• Strong understanding of data structures, algorithms, and software engineering principles.
• Familiarity with AI/ML frameworks like TensorFlow, PyTorch, or scikit-learn.
• Experience with containerization technologies such as Docker and orchestration tools like Kubernetes.
• Excellent problem-solving skills and the ability to work well under pressure.

Technologies & Tools

The Senior Software Engineer will frequently utilize a variety of technologies and tools, including Oracle Cloud Infrastructure, AWS, Azure, Docker, Kubernetes, and various AI/ML frameworks such as TensorFlow and PyTorch. Additionally, experience with data analytics tools and languages like SQL, R, or Python for data manipulation will be essential. Version control systems such as Git and CI/CD tools will also be part of the daily operational toolkit.

Ideal Candidates

The ideal candidates for the Senior Software Engineer position will possess strong communication and collaboration skills, enabling effective interaction with cross-functional teams. They should exhibit a proactive mindset towards learning and adopting new technologies while demonstrating analytical and critical thinking abilities. A passion for innovation and a commitment to delivering high-quality results in a fast-paced environment will further define the success of a candidate in this role.