Top Senior Level Linux Jobs in Rochester, NY

The Senior DevOps Engineer will build and deploy software in a CI environment, support and monitor production applications, architect scalable systems across regions, collaborate on application concerns, and participate in on-call rotations.

As a Lead Software Engineer, you will mentor junior engineers, manage projects, and design full-stack applications focusing on quality, security, and performance. You will collaborate with other teams, practice DevOps principles, and help evolve the engineering environment to deliver value continuously.

The Sr. C/C++ Software Engineer will design, develop, and support a video advertising platform. Responsibilities include overseeing feature development, writing maintainable code, integrating software components, documenting functionality, and resolving technical issues. The engineer will also mentor junior staff and work closely with engineering teams to innovate and improve systems.

As a Senior Network Engineer at KBRA Holdings, you will support the global enterprise network, troubleshoot network issues, and document incidents and changes. You will work with cloud technologies and maintain network infrastructure in AWS and Azure. Strong communication and automation skills are essential in this fast-paced environment.

The Senior Network Engineer will support and manage KBRA's global enterprise network, engage in operational tasks, and participate in proactive monitoring. Responsibilities include documenting network incidents, troubleshooting networks, and contributing to various projects while adhering to network policies.

The Senior Platform Engineer will improve cybersecurity services through engineering and automation. Responsibilities include supporting custom tooling, maintaining CI/CD pipelines, deploying software in cloud environments, mentoring staff, and analyzing telemetry to enhance service delivery and security detection.

As a Site Reliability Engineer at Phaidra, you will work in the Infrastructure Engineering team to build and maintain infrastructure that supports AI-powered control systems for industrial automation. You will leverage cloud platforms like AWS, GCP, or Azure, along with Kubernetes and CI/CD practices, while ensuring observability and reliability in the systems you oversee.