Top Senior Level Software Engineer Jobs

As a Senior Data Engineer at Bluesight, you will design and maintain robust data architectures, facilitate effective data stewardship, and develop customer-facing data products. You'll work closely with engineering teams, product owners, and external clients to create and enhance data pipelines and governance practices, ensuring optimal purchasing decisions for hospital buyers.

Lead voice and digital AI Self-Service solutions for large, multi-location contact centers. Design and implement AI self-service applications with Google CCAI. Serve as a project lead for Google Delivery practice. Integrate backend systems and perform testing.

Seeking a Staff Engineer with 8-12+ years of experience in software development to mentor team members, shape engineering culture, propose technologies, define project teams, and lead projects through code contribution and continuous improvement.

The Principal Solutions Architect will manage multiple project workstreams, design cloud data architectures, lead junior members, communicate with clients, and contribute to proposal developments, ensuring high-quality deliverables and client satisfaction.

The SOA Developer will implement Oracle Federal Financials R12 at a federal agency, focusing on developing SOA composite applications, integrating systems via web services, and troubleshooting integration issues. Responsibilities include documentation, support of production deployments, and configuration tuning on Oracle SOA Suite and WebLogic server.

The Sr. Software Engineer at Oportun will deliver complex software applications, ensure code quality through reviews, mentor junior engineers, and lead multiple features or projects while driving the evolution of the team's tools. Responsibilities include understanding business needs, technical leadership, troubleshooting issues, and maintaining system reliability.

As a Databricks Solution Architect, you will lead the design and implementation of optimized solutions leveraging Databricks, engage with customers to understand their needs, provide pre-sales technical expertise, optimize performance for data processing workflows, guide on data engineering best practices, and help define the company's Go-To-Market strategy.