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Kensho is S&P Global’s hub for AI innovation and transformation. With expertise in machine learning, natural language processing, and data discovery, we develop and deploy novel solutions to innovate and drive progress at S&P Global and its customers worldwide. Kensho's solutions and research focus on business and financial generative AI applications, agents, data retrieval APIs, data extraction, and much more. As an Infrastructure Engineer at Kensho, you will be responsible for building systems and frameworks that will be used by teams across the organization. You will be working on a team with experienced engineers and have an opportunity to learn and grow. As an engineer on the Infrastructure team you have the opportunity to work on the core platform that hosts all our assets, as well as to build monitoring & alerting that identify the health of such services.
Job Responsibility:
Design core, backend software components that powers the Kensho language models and other products
Build tools to empower the engineering teams
Code using primarily python, jsonnet, and other languages
Collaborate with other teams to gather requirements and support their workflows
Conduct architecture, design, and code reviews
Analyze and improve efficiency, scalability, and stability of various system resources
Requirements:
5-year of relevant work experience in software development
Professional coding experience and fluency in any 2 of Python, C++, Rust, or Go
Experience architecting and developing large scale distributed systems
Experience designing and deploying solutions to major cloud providers such as AWS, GCP, and Azure, with solid understanding of CI/CD practices
Experience in concurrency, multithreading and synchronization
Familiarity with the Unix/Linux environments
Nice to have:
Your github account showing practical, entrepreneurial initiative
You have experience building distributed systems or have collaborated on a team developing internal tools
You have experience building systems processing large amounts of data
You have experience productionizing large machine learning models (LLMs)
You have experience in MLOps
What we offer:
Medical, Dental, and Vision insurance
100% company paid premiums
Unlimited Paid Time Off
26 weeks of 100% paid Parental Leave (paternity and maternity)
401(k) plan with 6% employer matching
Generous company matching on donations to non-profit charities
Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education such as industry conferences
Plentiful snacks, drinks, and regularly catered lunches
Dog-friendly office (CAM office)
Bike sharing program memberships
Compassion leave and elder care leave
Mentoring and additional learning opportunities
Opportunity to expand professional network and participate in conferences and events
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