Job summary
Job post source
This job is directly from Moody's Corporation
Job overview
The Staff Software Engineer role at Moody's involves architecting and implementing AI platforms that enhance Moody's financial products, providing technical leadership and influencing AI development across the company.
Responsibilities and impact
The engineer will drive AI platform capabilities, break down complex projects into manageable tasks, stay updated with AI/ML advancements, develop cloud-scale solutions, work with distributed services on AWS/Azure, collaborate across teams, and mentor junior engineers.
Compensation and benefits
The salary range is $168,200 to $243,650 annually, with eligibility for incentive compensation and a competitive benefits package including medical, dental, vision, parental leave, paid time off, 401(k) with contributions, insurance, stock purchase plan, and tuition reimbursement.
Experience and skills
Candidates need 5+ years in production software development with AI/ML and distributed systems expertise, experience with cloud services on AWS/Azure, proficiency in C++, C#, or Java, and strong problem-solving and collaboration skills; advanced degrees and experience with GenAI and ML DevOps are preferred.
Career development
The role offers opportunities to lead AI initiatives, mentor junior engineers, and work on cutting-edge AI and ML technologies, fostering professional growth within Moody's Platform Engineering AI Team.
Work environment and culture
Moody's promotes an inclusive environment valuing diversity, curiosity, integrity, and collaboration, encouraging innovative thinking and open communication.
Company information
Moody's Corporation is a leading financial services company focused on risk analysis and financial products, leveraging AI and technology to innovate and maintain industry leadership.
Team overview
The candidate will join Moody's Platform Engineering AI Team, which focuses on building scalable AI and ML infrastructure and services to support Moody's business objectives.
Job location and travel
The position is based in Bellevue, Washington, at Moody's office, with no specific mention of remote work or travel requirements.
Unique job features
The job involves working on advanced AI platforms, cloud-scale distributed systems, and GenAI technologies, with a strong emphasis on technical leadership and innovation in financial product AI applications.
Company overview
Moody's Corporation is a global integrated risk assessment firm that provides credit ratings, research, tools, and analysis for financial markets. They generate revenue through their Moody's Investors Service, which offers credit ratings and research covering debt instruments and securities, and Moody's Analytics, which provides software, advisory services, and research for risk management. Founded in 1909, Moody's has a long history of influencing financial markets and is known for its role in assessing creditworthiness, which is crucial for investors and financial institutions worldwide.
How to land this job
Position your resume to highlight your expertise in AI, ML, and cloud-scale distributed systems, emphasizing your experience with AWS and Azure as these are key for Moody's AI platform development.
Showcase your ability to architect and implement complex AI-powered software systems, your leadership in driving projects, and your skills in mentoring engineers to align with Moody's emphasis on technical leadership and teamwork.
Apply through Moody's corporate careers site and LinkedIn to maximize your chances, as multiple application channels increase visibility and reach for this role.
Connect with current Moody's Platform Engineering AI team members on LinkedIn, using ice breakers like commenting on recent AI initiatives Moody's has launched or asking about their experience with GenAI-powered applications to start meaningful conversations.
Optimize your resume for ATS by incorporating keywords such as 'AI platform,' 'cloud-scale distributed systems,' 'AWS,' 'Azure,' 'ML DevOps,' 'Generative AI,' and 'software architecture' to pass automated screenings effectively.
Leverage Jennie Johnson's Power Apply feature to automate tailored applications, identify multiple application portals, and find relevant LinkedIn connections, allowing you to focus on preparing for interviews and enhancing your skills.
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