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Kensho is S&P Global’s hub for AI innovation and transformation. With expertise in Machine Learning and data discovery, we develop and deploy novel solutions for S&P Global and its customers worldwide. Our solutions help businesses harness the power of data and Artificial Intelligence to innovate and drive progress. Kensho's solutions and research focus on speech recognition, entity linking, document extraction, automated database linking, text classification, natural language processing, and more.

At Kensho, we hire talented people and give them the autonomy and support needed to build amazing technology and products. To do this, we look for people who insist on a bias towards action to minimize unhelpful hierarchy and process. We collaborate using our teammates' diverse perspectives to solve hard problems. Our communication with one another is open, honest, and efficient. We dedicate time and resources to explore new ideas and, as a result, we produce technology that is scalable, robust, and useful.

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.

What You'll Do:

+ 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

What We Look For:

+ 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

How to Really Get Our Attention:

+ 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

Technologies We Love:

+ Kubernetes, Terraform, Grafana, Prometheus, Kafka, PostgreSQL

+ Ubuntu linux or similar operating systems

Benefits & Perks

+ 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

About Kensho

Kensho uses machine learning, artificial intelligence, natural language processing and data visualization techniques to solve some of the hardest analytical problems and create breakthrough financial intelligence solutions for our parent company, S&P Global.

Kensho was founded in 2013 by Harvard & MIT alums and was acquired by S&P Global in 2018. Kensho continues to operate as a startup in order to maintain our distinct, independent brand and to promote our breakthrough, innovative culture. Our team of Kenshins enjoy a dynamic and collaborative work environment that runs autonomously from S&P, while leveraging the unparalleled breadth and depth of data and resources available as part of S&P Global.

As Kenshins, we pride ourselves on maintaining an innovative culture that depends on diversity and inclusion. We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with an office in New York City.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

At Kensho, we pride ourselves on providing top-of-market benefits, including:

+  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

We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with an additional office location in New York City. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

**Job ID:** 315901

**Posted On:** 2025-05-07

**Location:** Cambridge, Massachusetts, United States