S&P Global · 1 week ago
Associate Director, Full Stack Engineer
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Responsibilities
Full-Stack System Architecture Design: Develop scalable full-stack system and front-end applications for ML back-end
Full-stack UI and System Development for AI products: Responsible for the development of custom architecture for batch and stream processing-based AI ML pipelines including data ingestion to preprocessing to scaled AI model compute and ensure the architecture meets all SLA requirements. Work closely with members of technology and business teams in the design, development, and implementation of Enterprise AI platform
System Infrastructure Management: Ensure the deployment, and management of scalable and reliable system and application infrastructure for AI, ML, GenAI, LLM products.
API development, integration and Testing: Lead the development and integration of scalable APIs.
Monitoring and Optimization: Create and maintain robust monitoring systems to track model performance, data quality, and infrastructure health. Identify and implement optimizations to improve system efficiency.
Internal Collaboration: Collaborate closely with data scientists, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems.
Stakeholder Engagement and Collaboration: Collaborate closely with ML teams, business and PM stakeholders in full-stack implementation efforts and ensure technical milestones align with business requirements.
Security and Compliance: Implement security measures and compliance standards of the full-stack systems and APIs to ensure adherence to industry regulations.
Mentorship: Mentor technical engineering talent. Provide guidance and mentorship to junior engineers, fostering their professional growth and development.
Documentation: Maintain comprehensive documentation of full-stack systems and applications for reference and knowledge sharing.
Standards and Best Practices: Ensure the use of standards, governance and best practices in ML pipeline monitoring and ML model monitoring, and adherence to model and data governance standards
Problem Solving: Troubleshoot complex issues related to full-stack system deployments and develop innovative solutions.
Qualification
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Required
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Experienced professional (7+ years experience) as full-stack engineer, architect, engineer with core hands-on experience
4+ years hands-on experience in integrating, evaluating, deploying, operationalizing scalable full-stack and web-application solutions and APIs at speed and scale, including integration with enterprise applications and APIs
5+ years of experience with front-end technologies, including JavaScript, CSS3 and HTML5 and third-party libraries such as React Js, Next.js, Angular, Node.js, jQuery, and LESS
5+ years of experience with Development languages: Expert-level skills in server-side programming languages including .Net, Java, Ruby and Python
5+ Years of experience with Databases and cache: Experienced with DBMS technology, including SQLServer, Oracle, MongoDB and MySQL and caching mechanisms such as Redis, Memcached and Varnish
3+ Years of Basic UI/UX design ability: Including knowledge of UI/UX and basic front-end prototype design
5+ Server: Experience working with Nginx or Apache servers with a solid background in Linux
Excellent writing and communication skills
Ability to visualize a proposed system involving API integration with back-end and data pipelines, and be able to build it
Excellent written & verbal communication and stakeholder management skills
Strategic thinker and influencer with demonstrated technical and business acumen and problem-solving skills
Preferred
Nice to have: Experience with full-stack engineering development for deep learning and LLM solutions, and contributing to Github and open source initiatives or in research projects
Benefits
Health care coverage
Generous time off
Access to career growth resources
Retirement planning
Continuing education program with a company-matched student loan contribution
Financial wellness programs
Family-friendly perks
Retail discounts
Referral incentive awards
Company
S&P Global
S&P Global is a market intelligence company that provides financial information and data analytics services.
H1B Sponsorship
S&P Global has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (23)
2022 (37)
2021 (47)
2020 (32)
Funding
Current Stage
Public CompanyTotal Funding
$750M2023-09-07Post Ipo Debt· $750M
1978-01-13IPO· nyse:SPGI
Leadership Team
Recent News
2024-02-26
2023-12-27
Company data provided by crunchbase