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Engaged Employer

Oracle

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3.7

based on 5.2k Reviews

Video summary

1473 Oracle Jobs

Software Developer 3

Oracle India Pvt. Ltd.

3.7

based on 5.2k Reviews

5-10 years

₹ 15.6 - 31L/yr (AmbitionBox estimate)

Bangalore / Bengaluru

1 vacancy

Software Developer 3

Oracle

posted 3hr ago

Job Role Insights

Flexible timing

Key skills for the job

Medical Coding Computer Science Computer Networking Oracle Cloud Computing Healthcare

+ 4 more

Job Description

As a Senior Engineer, you will play a vital role in shaping the future of Health and AI at Oracle. As a member of the team, you will spearhead efforts in areas such as service resiliency, security, performance, scalability, networking, and automation. Duties and tasks are diverse and intricate, demanding independent judgment.

Qualifications and Experience

BS or MS in Computer Science, or equivalent experience
5+ years of working experience shipping scalable, cloud-native distributed systems
Proficient in at least one of the languages: Java, JavaScript, TypeScript, JVM based language
Solid understanding of user management and runtime security
You are experienced at building highly available services, possessing knowledge of common service-oriented design patterns and service-to-service communication protocols
Experience in cloud computing (Compute, Networking, Storage, etc)
Experience in Frontend web development (JavaScript / TypeScript)
Experience in Backend development (Java /NodeJS)
Ability to work in a collaborative, cross-functional team environment
Experience with production operations and best practices for putting quality code in production and troubleshooting issues when they arise
Able to effectively communicate technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams, and presentations)

Preferred Qualifications

Knowledge of healthcare and experience delivering healthcare applications are significant plus.

Career Level - IC3

Responsibilities

Collaborate with product managers and service teams to build secure, scalable infrastructure that can support the growing needs of our AI service offerings.
Implement robust data pipelines for collecting, processing, and transforming large-scale datasets.
Stay up-to-date with the latest advancements in machine learning infrastructure, tools, and technologies, and evaluate their potential impact on our systems.
Deploy and manage machine learning models in production environments, ensuring reliability, scalability, and security.
Coordinate with multinational teams to drive projects from research POC to production.
Develop production code and advocate for the best coding and engineering practices.
Identify and mitigate risks in our plans and executions, especially at the intersection of business and engineering.