Senior Member Technical Staff - OCI Data Science

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Design, develop, troubleshoot and debug software programs for databases, applications, tools, networks etc.

As a member of the software engineering division, you will assist in defining and developing software for tasks associated with the developing, debugging or designing of software applications or operating systems. Provide technical leadership to other software developers. Specify, design and implement modest changes to existing software architecture to meet changing needs.

Duties and tasks are varied and complex needing independent judgment. Fully competent in own area of expertise. May have project lead role and or supervise lower level personnel. BS or MS degree or equivalent experience relevant to functional area. 4 years of software engineering or related experience.

Responsibilities

Oracle Cloud Infrastructure: Data Science

The Oracle Cloud Infrastructure (OCI) team can provide you the opportunity to build and operate a suite of massive scale, integrated cloud services in a broadly distributed, multi-tenant cloud environment. OCI is committed to providing the best in cloud products that meet the needs of our customers who are tackling some of the world’s biggest challenges.

We offer unique opportunities for smart, hands-on engineers with the expertise and passion to solve difficult problems in distributed highly available services and virtualized infrastructure. At every level, our engineers have a significant technical and business impact designing and building innovative new systems to power our customer’s business critical applications.

This role is available on the OCI Data Science service. We are addressing exciting challenges at the intersection of data science and cutting-edge infrastructure. We are building a cloud service for data scientists, machine learning engineers and software engineers to help them every step of the way in their machine learning development and deployment lifecycle. Our product vision includes interactive notebooks, distributed machine learning on CPU/GPU supporting wide variety of ML algorithms/libraries, scalable model serving and robust monitoring and analytics of ML models. We also take help SaaS applications integrate with the data science / AI platform.

What You’ll Do

• Build Native cloud service in OCI using the modern Infrastructure as a Service (IaaS) at OCI
• Design and build distributed, scalable, fault tolerant software systems
• Participate in the entire software lifecycle from scratch – design, development, testing, deployment, and production operations for new capabilities in Data Science
• Balance between product feature development and production operational concerns like writing runbooks, ops automation, structured logging, instrumentation for metrics and events and on-call for the services
• Leverage plethora of internal tooling at OCI to develop, build, deploy and troubleshoot software
• Provide on-call production support on rotational basis

Qualifications

• You have prior experience working on distributed systems development and deployment
• You are proficient in Java based micro services development and familiar with REST APIs
• You are experienced at building highly available services, possessing knowledge of common service oriented design patterns and algorithms
• You are familiar with components of modern infrastructure like service discovery, secret storage, software-defined networking, etc.
• You are aware of cloud deployment strategies
• You have experience with production operations and good practices for putting quality code in production and troubleshoot issues when they arise
• You have seen your work in production & provided support for it, preferably in a Cloud environment
• Take initiative and be responsible for delivering complex software by working effectively with the team and other stakeholders
• You feel at home communicating technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams and presentations)
• Data science and machine learning knowledge would be helpful but not required
• Relevant experience of 4 to 10 years