Lead Principal Data Systems Software Engineer

Oracle; Redwood City (CA); Presencial; USD 180.000 - 260.000; Jornada completa

Descripción de la vacante

Oracle is hiring for a senior software engineering role focused on building scalable distributed systems and cloud services. The role involves crafting architectures, leading data modeling efforts (including spatial/graph) and performance engineering, and applying in-database analytics and ML concepts to improve latency and value.

You will work on Exadata-related cloud initiatives with a senior team and mentor others.

Formación

• 10+ years in software development for distributed, scalable systems.
• BS or MS in Computer Science or equivalent.
• Proficient in Java and Python; shell scripting.
• Experience with microservices and cloud-based services.
• Knowledge of Docker, container runtimes, and K8s.
• Strong communication and mentoring skills.
• Proven track record delivering 24x7 production systems.
• Experience with performance optimization.

Responsabilidades

• Set product-wide patterns for microservices and data modeling.
• Solve complex problems for cloud services and automation.
• Design and develop architectures and standards for large-scale distributed systems.
• Assist capacity planning and performance analysis.

Conocimientos

Java

Python

Shell scripting

Distributed systems

Web services

Data structures/algorithms

Mentoring

Educación

BS/MS in Computer Science

Herramientas

Docker

Kubernetes

Nomad

Git

Descripción del empleo

Job Description

Serves as domain expert shaping product architecture and velocity. Defines scalable patterns for microservices, data modeling (including spatial/graph), and performance engineering across multiple product areas. Applies in-database analytics and machine learning to differentiate value and reduce latency. Sets service-level objectives and enforces them via testing and observability. Leads post-release analyses to connect features to revenue, adoption, and retention outcomes; guides technical strategy with product leadership.

Job Description

Serves as domain expert shaping product architecture and velocity. Defines scalable patterns for microservices, data modeling (including spatial/graph), and performance engineering across multiple product areas. Applies in-database analytics and machine learning to differentiate value and reduce latency. Sets service-level objectives and enforces them via testing and observability. Leads post-release analyses to connect features to revenue, adoption, and retention outcomes; guides technical strategy with product leadership.

Solve complex problems related to infrastructure cloud services and build automation to prevent problem recurrence. Design, develop, and deploy software to improve the availability, scalability, and efficiency of Oracle products and services.

Design and develop designs, architectures, standards, and methods for large-scale distributed systems. Facilitate service capacity planning and demand forecasting, software performance analysis, and system tuning.

Oracle Exadata Database team is building a new cloud native, Autonomous, multi-tenant, database optimized, smart storage cloud service. This service is expected to scale across thousands of tenants. It is based on the successful Exadata platform. This cost effective storage solution is engineered for highest performance and availability to run variety of workloads. We are hiring senior developers for this exciting team to build the service to power Autonomous database offerings in Oracle Cloud and Cloud at customer.

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. As part of the Oracle Database Exadata team, you will be continually challenged and have an opportunity to contribute. The role provides a mixture of production ownership and development. You will solve challenging technical problems, identify improvements and work on implementing your recommendations.

Required Qualifications

10+ years of hands on experience in software development, including design, implementation, debugging, and support, building distributed, scalable system software and/or Services preferably in the cloud

• BS or MS degree in Computer Science, or equivalent experience
• Proficient with programming languages Java/Python; and scripting languages (Shell, Perl and Python)
• Deep understanding of distributed systems and web services technology
• Experienced in crafting, building and debugging large scale distributed systems
• Strong at applying data structures, algorithms, and object oriented design, to solve challenging problems
• Track record of building and delivering mission critical, 24x7 production software systems
• Familiar with micro-services based software architecture and the evolving tools in the space like nomad/k8s
• Experience with container run time (Docker, LXC/LXD)
• Knowledge of professional software engineering practices & best practices for full software development life cycle, including coding standards, code reviews, source control management, build processes, testing and operations
• Strong desire to build, sense of ownership, urgency, and drive.
• Systematic problem solving approach, combined with a strong sense of ownership and drive.
• Experience in communicating with users, other technical teams, and senior management to collect requirements, describe software product features, product strategy and influence outcomes in technical decision-making
• Solid understanding of performance and efficiency with a strong customer focus
• Demonstrated ability to mentor other software developers in all aspects of their engineering skillsets
• Possess strong verbal and written communication skills

Responsibilities

Key Responsibilities

Data Systems Software Development:

• Set product-wide patterns for microservices and data modeling (including spatial/graph) to accelerate feature delivery.