Software Engineer II, Multi-cloud

As a Software Engineer II you are an essential member of an agile team dedicated to enhancing building and delivering trusted market-leading technology products in a secure stable and scalable manner. The role is positioned within a multi-cloud environment with a focus on spearheading Google Cloud enablement while continuing to elevate Azure offerings. You will also leverage emerging AI/ML technologies to drive innovation and efficiency across cloud platform solutions.

Job Responsibilities

• Develops secure and high-quality production code and reviews and debugs code written by others
• Contributes to product design application functionality and technical operations and processes
• Actively contributes to the engineering community as an advocate of firmwide frameworks tools and practices of the Software Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies including AI/ML-driven solutions and AI-assisted development practices Adds to the team culture of diversity opportunity inclusion and respect
• Leverages AI-powered tools and methodologies to enhance code quality accelerate development workflows and optimize cloud infrastructure solutions

Required Qualifications Capabilities and Skills

• 3 years of hands-on experience in software engineering with a strong focus on Google Cloud Platform (Azure experience also considered)
• Bachelors Degree in Computer Science or equivalent
• Proficient in Terraform for infrastructure as code enabling efficient and repeatable cloud resource management
• Advanced proficiency in Python (mandatory) with the ability to work across additional programming languages
• Solid understanding of cloud-native architectures microservices design and modern software development principles
• Demonstrated expertise across the full Software Development Life Cycle (SDLC) including design development testing and deployment
• Proven ability to deliver in Agile Scrum or DevOps environments with a focus on iterative and high-quality releases
• In-depth knowledge in one or more technical disciplines such as cloud computing artificial intelligence or machine learning
• Strong problem-solving mindset with the ability to collaborate effectively across cross-functional teams
• Formal training or certification in cloud software development concepts

Preferred Qualifications Capabilities and Skills

• Hands-on experience with AI-assisted development tools such as Gemini Code Assist GitHub Co-Pilot or Claude Code
• Working knowledge of Artificial Intelligence platforms such as Gemini or OpenAI with the ability to apply AI-driven solutions to practical cloud engineering problems
• Exposure to integrating AI/ML workflows into cloud infrastructure automation pipelines and DevOps practices
• Azure or Google certification
• Experience with Spec by Example for high-quality software delivery
• Experience collaborating with architects on technical strategies and architectural integrity