Top Senior Level Software Engineer Jobs in Rochester, NY

The Fractional Head of Engineering will define and implement technology strategy, lead and mentor the engineering team, oversee system design, manage budgets, and ensure software aligns with business goals while staying updated on industry trends.

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 Data Engineer is responsible for designing, developing, and maintaining data infrastructure, creating scalable data pipelines, and ensuring data quality and governance. They collaborate with various teams to meet data needs and stay updated on new data technologies.

As a Senior Software Engineer at Demandbase, you'll design and build the Unified Data Platform by creating data pipelines, integrating open source tools, and developing APIs. You'll focus on data warehousing challenges, ensuring data quality and accessibility, and lead the integration of data from multiple products for a cohesive platform.

As the IT & DevOps Manager, you will oversee infrastructure and security practices, ensuring cloud-based system reliability and managing SOC2 compliance. Responsibilities include optimizing cloud costs, automating Kubernetes management, maintaining CI/CD pipelines, and offering tier 2 support for infrastructure issues.

The Senior Sales Engineer will manage the sales engineering lifecycle, develop customized presentations and POCs for clients, engage in advanced technical discussions, and maintain industry and product expertise while collaborating closely with Account Executives.

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.