Top Senior Level Java Developer Jobs in Atlanta, GA

As a Staff Software Engineer, Lead at Boulevard, you will architect and build reporting and analytics products, leading a team while ensuring the platform is scalable and performant. Your role involves strategic planning, technical architecture ownership, and collaboration with various teams to deliver high-impact solutions that enhance customer decision-making and insights.

The Lead Solutions Architect will tackle complex business problems by developing strategies and delivering technology solutions in the health insurance segment. The role emphasizes collaboration with teams and foster improvements in software and systems engineering focusing on cloud and multicloud solutions.

The AI Systems Architect will design and implement advanced AI systems, manage machine learning projects, oversee system integrations, and collaborate with teams to align AI initiatives with business goals, all while mentoring others in the field.

Lead and support the software development team by managing task assignments, defining deliverables, and creating application architectures. Participate in feature planning, requirements gathering, and IT project scoping meetings. Ensure adherence to best practices to deliver optimal solutions.

The Senior Systems Developer is responsible for developing high-availability OLTP applications on HPE/Tandem Nonstop Systems. This role involves coding in C/C++ and TAL, ensuring compliance with PCI standards, and collaborating with teams to deliver client software solutions while maintaining operational stability.

As an Engineering Manager, you will lead and manage software and DevOps teams, ensuring the delivery of high-quality software solutions aligning with product vision. Responsibilities include performance monitoring, fostering a positive team culture, contributing to architectural decisions, and resource planning.

As a Senior Software Engineer on the Data Platform team at Coinbase, you will design, build, and operate data-intensive services, creating scalable data solutions for analytics and machine learning. Responsibilities include developing data pipelines, ensuring data security, and creating tools for data observability and management.