Top Scala Jobs in Atlanta, GA

The Senior Quality Engineer will enhance the automation framework, improve automated coverage, drive quality in compliance-critical software, and establish testing pipelines while collaborating with multiple teams.

Lead design and implementation of Affirm's Lakehouse Platform using Iceberg, Spark, Snowflake, and cloud storage. Drive platform roadmap, governance, access controls, performance and cost optimization, analytics engineering best practices, observability, and on-call readiness. Partner cross-functionally, mentor engineers, and build scalable, secure, self-service data infrastructure and semantic/agentic data tools.

Design, build, and operate scalable, secure data platform infrastructure for ingesting, processing, cataloging, and accessing petabytes of data. Improve Spark/Databricks reliability and developer experience, build ingestion/replication systems, develop internal libraries and tooling (Go/Python), and collaborate with cross-functional teams to support analytics, ML, and customer-facing data products.

Design and develop software solutions enhancing user experience for Governance features, contribute to open-source software, communicate technical designs, and support team quality through reviews.

Design and develop backend services and APIs for identity resolution, optimize event-driven systems, and enhance system reliability. Mentor engineers and influence architectural decisions.

Develop and manage high-performance back-end systems, design secure APIs, optimize performance in cloud environments, conduct testing, and manage ML model lifecycles.

As a Fullstack Engineer, you'll design, build, and operate web applications, collaborating with product teams and mentoring peers while ensuring best practices in coding and system architecture.

Lead two engineering teams owning the WMS platform: people management, predictable sprint delivery, platform enhancements, production reliability, incident leadership, and cross-team alignment with product and peers.

Design and operate large-scale data platforms in the cloud, develop data pipelines, support analytics and machine learning, and mentor junior engineers.

Own and set technical direction for the Everand backend, building scalable, reliable systems for discoverability, personalization, and core consumption journeys. Drive architecture, platform health (CI/CD, staging, DBs, queues, cost, observability), mentor engineers, lead cross-team planning, modernize legacy systems, and partner with product, design, analytics, web/mobile, and ML to support experimentation and telemetry-driven decisions.

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

The Staff Machine Learning Engineer will design, train, and deploy NLP models, optimize processes, and mentor engineers. The role demands expertise in model training and productionization.

Design, implement, and scale event-driven, distributed backend systems in Python on AWS to process and enrich large-scale document and media datasets. Lead technical projects, mentor engineers, integrate ML/LLM components, optimize performance, maintain observability, and collaborate with Data Science, ML Engineering, and Product to deliver reliable high-throughput content processing services.

Lead design and implementation of scalable, secure microservices and distributed systems for the Workday Extend developer platform. Drive architecture, reliability, API contract management, CI/CD, and AI-assisted engineering practices while mentoring engineers and collaborating with product and design to deliver resilient cloud-native solutions.

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.

Perform end-to-end manual and automated testing for CMS FFE systems including security, API, regression and performance suites. Plan, construct and execute test scripts, run test executions, track defects in repositories, produce reports, and participate in Agile ceremonies. Use Java/JavaScript (Python preferred), test tools (Rational, CQ, JIRA), NoSQL familiarity, and support CI tools like Jenkins/GitHub.

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 Databricks Solutions Architect will lead the design and implementation of scalable solutions on Databricks, engage with customers, provide technical leadership, and optimize performance for data processing and AI workloads.

As a Senior Software Engineer, you will develop new products and improve engineering infrastructure while taking ownership of product deliverables and enhancing technical architecture.

As a Software Engineer - Backend, you will develop products and manage engineering infrastructure, focusing on system design, security, and code quality.

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.

Lead and grow a Data Engineering team to build production data pipelines, medallion datasets, and reusable data products. Drive architecture, engineering standards, design reviews, and cross-functional delivery. Partner with Product, Analytics, Data Science, and Platform to enable governed, reliable data foundations for analytics and AI. Mentor engineers and manage multiple concurrent initiatives to deliver predictable outcomes.