Top Senior Level Software Engineer Jobs in Rochester, NY

As a Senior Data Engineer / Architect at Flip, you will develop data strategies, build and scale data systems, support data science initiatives, and optimize system performance. You'll drive digital transformation and work collaboratively across teams to implement innovative data solutions.

The Network Systems Engineer will support the sales team by designing and proposing networking solutions, conducting network architectural sessions, and ensuring customer satisfaction. Responsibilities include hands-on deployment, leading RFP responses, and providing feedback for product development.

As a Senior Software Engineer on the Data & API Platform team, you'll architect, design, develop, and maintain scalable data services. Your role involves troubleshooting performance issues, ensuring data accuracy, and mentoring junior engineers while driving productivity and evaluating technologies for data initiatives.

The upcoming role involves designing and implementing integration solutions using MuleSoft. Candidates should possess strong API design skills, extensive experience in MuleSoft development, and demonstrate the ability to lead consulting services. Collaboration and continuous learning are also emphasized.

Join the Site Reliability Team focusing on reliability and security for a leading sports betting platform. Responsibilities include improving infrastructure, handling deployments and monitoring, and ensuring system availability. The role involves collaboration with DevOps/SRE teams, mentoring, and liaising with security agencies.

The Senior DevOps Engineer will design and implement cloud infrastructure using AWS while enhancing infrastructure as code and CI/CD capabilities. They will ensure the stability of application platforms through monitoring and alerts, collaborate with teams to develop solutions, and respond to production outages.

The Senior Solutions Engineer will collaborate with strategic account teams to design and optimize technical solutions for clients, primarily in machine learning for fraud and logistics problems. Responsibilities include pre-sales technical support, developing custom scripts, analyzing datasets, leading demonstrations, and ensuring seamless integration of solutions with client needs.