Boston Tech Jobs and Startup Jobs

3

DevOps Engineer

DataRobot
Greater Boston Area
9 hours ago
You will work with other team members to build and maintain highly available, high performance, and scalable systems. You will take part in maintaining and improving our deployment and scaling process. You will work with Development and DevOps teams on automation of infrastructure processes. You will work closely with the Developers to ensure efficiency on product releases. You will participate in creating and improving our security policies and procedures that will ensure the protection of customer and corporate data. You will work with other team members or independently to troubleshoot issues that arise with the application and escalate to software engineering when necessary. You are expected to assist other team members on system and infrastructure related issues when necessary. You will participate in on-call rotation.

Engineer, DevOps

Interactions
Greater Boston Area
3 days ago
+14
The DevOps Engineer works side by side with development and operations teams. You will be primarily responsible for designing, implementing, automate the build, release, and deploy pipelines. The DevOps Engineer is responsible for bridging the gap between development, operations, and infrastructure.

Sr Engineer, DevOps

Manager, DevOps

Technical Lead (Infrastructure & Security)

Soroco
Greater Boston Area
1 week ago
A Technical Lead in Soroco's Infrastructure & Security team reports directly to Soroco's Head of Infrastructure and Security and is responsible for architecting and engineering some of Soroco's more advanced and large-scale infrastructure systems. As part of these responsibilities, the Technical Lead will lead a team of engineers across some of Soroco's clients to deliver highly reliable systems. The Technical Lead will also periodically engage directly with the client to understand requirements and educate the client on Soroco's infrastructure and security practices. The types of systems the Technical Lead would be responsible for would contain a balance of DevOps, distributed systems, data science, and machine learning (or statistical techniques). The goal is to monitor and analyze large data sets, apply learning techniques to them, and then to automate IT operations based on the learnings at scale.

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