Site Reliability Software Engineer, Kensho

Salary not provided

Docker

Kubernetes

Groovy

Python

Java

Kafka

Elasticsearch

Postgres

Kibana

C++

Jenkins

Prometheus

Grafana

Git

Mid and Senior level

Boston

More information about location

Office located in Cambridge, MA

AI-powered data analytics tools

Job no longer available

AI-powered data analytics tools

101-200 employees

B2BArtificial IntelligenceEnterpriseBig dataSaaSData Analysis

Job no longer available

Salary not provided

Docker

Kubernetes

Groovy

Python

Java

Kafka

Elasticsearch

Postgres

Kibana

C++

Jenkins

Prometheus

Grafana

Git

Mid and Senior level

Boston

More information about location

Office located in Cambridge, MA

101-200 employees

B2BArtificial IntelligenceEnterpriseBig dataSaaSData Analysis

Company mission

To build solutions that uncover insights in messy and unstructured data that enable critical workflows and empower businesses to make decisions with conviction.

Job

Company

Role

Who you are

At least 3 years of experience
Proficiency in any one 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

Desirable

You have been a major technical contributor in a big project
Your open source projects show innovation and initiative
Research, publications, and patents, if any

What the job involves

As a mid-level Software Engineer, Site Reliability (SRE) at Kensho, you will ensure that Kensho’s 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
Run and stabilize Kensho’s production services that support critical financial applications and backend processes
Monitor, maintain and help scale services that are integrated into S&P’s 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

Our take

Kensho combines natural language search queries, graphical user interfaces, and secure cloud computing to create analytics tools for investment professionals. Addressing the three biggest challenges surrounding investment analysis on Wall Street today, speed, scale, and automation, Kensho's intelligent computer systems are capable of answering complex financial questions posed in plain English.

Kensho’s AI and machine learning systems strive to make S&P data that much more relevant. Given the sheer amount of data and the abundance of knowledge workers trying to categorize it, Kensho’s data pipeline system processes unstructured data for data discovery relevant to clients’ needs. Whether clients seek data search and classification or transcription, Kensho’s various products allow a variety of data-driven financial applications.

Global data analytics continues to grow by 25% until 2030 from the present estimate of $25 billion. High profile customers such as Goldman Sachs, Morgan Stanely and Citigroup are among those utilizing Kensho products to improve their processes. With the growing volume of raw data coupled with the demand for better machine learning, Kensho is poised to continue to overcome challenges.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

-14% employee growth in 12 months

Glassdoor (3.85)

Company

Funding (2 rounds)

Nov 2014

$7m

SERIES A

Mar 2014

$10m

SEED

Total funding: $17m

Company benefits

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)
In-office gyms and showers (CAM, DC)
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

Company HQ

Harvard Square, Cambridge, MA

Leadership

Bhavesh Dayalji

(CEO, not founder)

Served as COO of the company before transitioning to CEO in 2021.

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