Top Senior Level DevOps Jobs in Rochester, NY

The Senior Cloud Architect, AWS will design, implement, and maintain cloud solutions, collaborate with technical and business teams, lead cloud infrastructure initiatives, and ensure compliance with regulatory and security requirements while mentoring team members.

As a Senior Software Engineer at Dwolla, you will design and develop applications using Scala, TypeScript and C#. You will be involved in code reviews, mentoring junior engineers, and ensuring high-quality solutions that meet customer needs through collaboration and communication. Additionally, you will handle bug repairs, production issues, and prioritize tasks effectively.

The AI/ML Software Engineer at Coda will build AI-driven products to solve user problems using language models, enhancing user experience, and collaborating with other teams on product features. They will handle model creation and production as well.

The Senior API Testing Engineer will be responsible for manual and automated API testing, functional tests, and user acceptance testing. Duties include preparing test cases, executing tests, managing defects, and coordinating testing activities with product owners, while working closely with the development team.

As a Full Stack Engineer at Simbe Robotics, you will develop and enhance web applications that utilize shelf data for the retail industry, work cross-functionally with various teams to meet customer needs, provide technical support, and maintain documentation.

As a Senior Site Reliability Engineer at DataVisor, you will enhance systems reliability and security across cloud infrastructure, automate tasks, and optimize big data platforms. Responsibilities include developing automation pipelines, proactive monitoring systems, and database maintenance, all while collaborating with engineering teams to improve performance.

Lead a team of developers in designing and implementing large language models for Cerence's software products. Collaborate with cross-functional teams to define requirements, create algorithms for model training, and integrate LLM features into voice recognition systems, ensuring high performance and reliability in real-world automotive environments.