Boston Tech Jobs and Startup Jobs

4

Site Reliability Engineer, DevOps

DraftKings
Greater Boston Area
3 days ago
+24
We’re growing rapidly. As a Site Reliability Engineer, you will help us continue running our applications smoothly as our business scales. DraftKings solves some of the most interesting challenges in the tech industry, and when you join our team, you’ll have the opportunity to see your ideas and solutions directly impact our products.

Sr Software QA Engineer

Interactions
Greater Boston Area
3 days ago
+20
The Sr QA Engineer plays an important part in our company’s product development process. Our ideal candidate will have experience with automated testing practices and processes and be motivated to continuous improvement of our current QA environment. The candidate will be responsible for designing, developing, and conducting tests and automation test procedures prior to product launches to ensure software quality, while being cost-effective.

Senior Software QA Engineer

Senior Software QA Engineer

Sr QA Automation Engineer-Platform

Software Engineer, Business Intelligence and Autom…

DataRobot
Greater Boston Area
4 days ago
At DataRobot, we are pushing human-machine collaboration to its limits. We are looking for engineers passionate about building data-driven systems and automation. Join us on our mission to build a company for the 21st century. We treat the company as a system of people, software, and data. Our job is to automate everything software can do better while providing people with information and tools to excel at the rest. We design workflows, build

Software Engineer

Senior Bioinformatics Scientist

PathAI
Greater Boston Area
2 weeks ago
+21
Lead bioinformatics efforts in a team setting of fellow scientists and machine learning engineers. Cross-functional collaboration with other teams to integrate large-scale datasets and use bioinformatics to define the factors associated with drug response and resistance. Develop computational methods and build tools to enable data-driven patient stratification and inform the development of clinical decision support products. Identify scientifically relevant findings within datasets spanning multiple modalities. Develop scalable computational solutions to further clinical data analysis automation across projects. Communicate findings both internally and externally and recommend follow up actions.

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