Software Engineer II - Finance Data & Experiences

Amazon.com, Inc.
Redmond, WA, United States
20 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Compensation
$160,000.0 - $250,000.0
Working hours
Regular working hours

Tech stack

C (Programming Language) Java (Programming Language) JavaScript (Programming Language) Artificial Intelligence Data Analysis Unit Testing Microsoft Azure C Sharp (Programming Language) C++ (Programming Language) Cloud Database Code Coverage Computer Programming
+14 more
Data Infrastructure Extract Transform Load (ETL) Data Structures Python (Programming Language) Machine Learning Cloud Services Azure Machine Learning SQL Databases Data Logging Data Processing GitHub Copilot Apache Spark Information Technology Data Pipelines

Job description

Design, develop, deploy, and operate scalable cloud-based data, analytics, automation and tooling solutions using modern data platforms and Cloud services. Foundation of Data Structures, algorithms and Programming capabilities that can be applied to solve complex problems thereby helping with the build of solutions with strong foundations and high-quality delivery. Integrate AI capabilities such as Azure OpenAI, Cognitive Services, and ML models to enhance system intelligence and user productivity. Apply engineering best practices as you design and deliver high-quality, scalable solutions. Own your solution end to end through design, implementation, and operations. Implement robust monitoring, logging, and alerting for proactive issue detection. Leverage telemetry and usage analytics to understand customer behavior and inform product decisions. Support and influence the team culture, customer-centricity, and continuous improvement. Provide technical feedback to our product engineering, + $160,000-250,000 per year As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed - we’re her…

  • 1 month ago

Requirements

partners to evolve and mature our AI, Azure services and Power Platform. Collaborate cross functionally across stakeholders, product managers and other engineers to deliver integrated, customer-focused experiences. Leverage AI to auto-generate boilerplate code for data pipelines, SQL transformations, and Spark jobs, significantly reducing development time for repetitive tasks. Use AI to enforce consistent coding patterns across ETL scripts and data model definitions, improving maintainability and reducing review cycles. Utilize AI to quickly prototype new data engineering solutions including partitioning strategies, and schema evolution logic, enabling faster experimentation and learning. Employ AI to assist in writing docstrings, inline comments, and unit tests for data processing functions, improving code readability and test coverage. Share GitHub Copilot-generated snippets and best practices with the team, fostering a culture of AI-assisted development and continuous improvement. Bachelor’s Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Master’s Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Experience leveraging AI technologies, including Azure OpenAI, Azure AI Services, and machine learning models to drive business impact. Ability to collaborate across teams and disciplines to deliver innovative solutions and business outcomes. Experience building consensus, resolving conflicts, and managing stakeholder relationships in complex environments.

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