Top Scala Jobs in Atlanta, GA

Define and socialize end-to-end architecture for a multi-tenant, cloud-native SaaS data platform. Lead designs for streaming, low-latency query, multi-cloud deployments, security/compliance, SRE practices, and AI/agent integrations while mentoring senior engineers and influencing executive and customer decisions.

The Principal Engineer will architect and develop scalable AI-driven data platforms, mentoring engineers and aligning technical strategies with business goals.

The Sr. Hadoop Developer/Architect will lead design and development of solutions using big data technologies, manage teams, and ensure successful delivery of projects.

Lead backend development for MapMyFitness, collaborate with product/marketing/design, build and maintain APIs for mobile clients, respond to bugs, monitor and resolve incidents, ensure high availability, ship maintainable/testable code, and drive major architectural changes for a platform used by millions.

You will design, build, and maintain scalable applications using Java and JavaScript, collaborating across teams and managing databases.

The Senior Backend Engineer will design and build backend systems for a multi-cloud platform, ensuring performance, scalability, and high quality while collaborating with various teams and stakeholders.

Develop and maintain language frontends for the Joern platform for automated software vulnerability analysis, collaborating with a global team.

The Lead Rust Software Engineer will design and build scalable applications, mentor teams on Rust, and contribute to complex product development.

Lead backend architecture and implementation for scalable, reliable cloud-hosted web products. Mentor engineers, set standards, integrate agentic AI coding tools, design systems applying ML to large datasets, and balance customer-facing features with technical debt and performance.

As a Senior Solutions Architect, you will engage with customers, develop strategies with Account Executives, and coach junior staff while promoting the Databricks platform through technical engagements and community involvement.

Design, build, and maintain data platform tools, ensuring data quality and integrity. Collaborate with data science teams and enforce best software practices.

Design, build, test, and operate modern web applications and integrations. Develop performant, accessible UIs using Angular/TypeScript, collaborate across product and infra, support cloud-native services, CI/CD, observability, and responsibly use AI-assisted tools to deliver production-ready software.

Own and improve the end-to-end developer experience for AIMS ML teams: local/remote dev environments, build/test infrastructure, CI/CD, and internal platforms. Design, build, and operate large-scale build and CI systems, remove developer friction, instrument workflows, drive adoption, and set technical standards. Partner with ML researchers to prioritize productivity investments and evaluate/integrate GenAI-powered developer tooling with safety guardrails.