Software Engineer
7 days ago
Kensho is a 100-person Machine Learning (ML) and Natural Language Processing (NLP) company, centered around providing cutting-edge solutions to meet the challenges of some of the largest and most successful businesses and institutions. We are owned by S&P Global and operate independently. Our toolkit illuminates insights by helping the world better understand, process, and leverage messy data. Specifically, Kenshos solutions largely involve speech recognition (ASR), entity linking (NED), structured document extraction, automated database linking, text classification, and more.
As a mid-level Software Engineer, Site Reliability (SRE) at Kensho, you will ensure that Kenshos services, both internally-critical and customer-facing, have reliability and uptime based on users' expectations. You will work closely with our team of Infrastructure and Application Engineers to come up with scalable solutions. You will also be working with Technical Architects, Product and Engineering Managers and Application Developers to ensure stability and identify critical improvements. Are you an experienced Site Reliability Engineer and thoughtful, collaborative, and dynamic technologist who loves building the infrastructure that helps others do their jobs more effectively and efficiently? If so, we would love to help you excel here at Kensho. We take pride in our team-based, tightly-knit startup Kenshin community that provides our employees with a collaborative, communicative environment that brings transparency to the biggest challenges in data.
At Kensho, we hire talented people and give them the freedom, support, and resources needed to accomplish our shared goals. We believe in flexibility-first and give our employees the opportunity to work from where they feel most productive and engaged (must be in the United States). We also value in-person collaboration, so there may be times when travel to one of our Kensho hubs (e.g., Cambridge, MA or NYC) will be required for team meetings or company events.
Kensho states that the anticipated base salary range for the position is 130k-175k. In addition, this role is eligible for an annual incentive bonus and equity plans. At Kensho, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.
- Develop tools that will help with automation of production services/operations.
- Run and stabilize Kenshos production services that support critical financial applications and backend processes
- Monitor, maintain and help scale services that are integrated into S&Ps platform
- Manage end-to-end availability and performance of critical services and build automation to prevent problem recurrence
- Add, tune and maintain alert configurations and documentation as needed
- Design and build advanced automated operational and deployment frameworks alongside tooling and infrastructure to help engineering teams measure and increase their velocity
- Cultivate full-team participation in high quality, thoughtful software
- Coordinate and train production support team as needed
- Participate in on-call/production support
- Programming ability/experience is a must
- At least 4 years of experience
- You have been a major technical contributor in a big project
- Ability to understand the functionality of a large software product
- Proficiency in any two of the modern programming languages (Python, Java, Go, C++, etc.)
- Strong experience with coding and debugging
- A practical understanding of algorithms, data structures, and design patterns
- DevOps experience and can demonstrate skills in any of the following:
- Automation for CI/CD pipeline using scripting (Groovy preferred)
- Kubernetes and strong networking fundamentals
- Engineering and supporting production services in a modern, containerized cloud environment
- Scalable testing, automation, continuous integration frameworks and best practices
- Kubernetes, HAProxy, Jenkins, Git, Docker, Kafka, Prometheus, Kibana, Elasticsearch, Grafana, Postgres
- Experience with an AI/ML project
- Your open source projects show innovation and initiative
- Research, publications, and patents, if any
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