Top Scala Jobs in Atlanta, GA

Lead technical design and delivery of large-scale, cloud-native marketing platforms. Build distributed Java/Spring Boot services, REST APIs and web frontends, drive platform modernization on AWS/Databricks, champion quality, observability, automation, and GenAI adoption, and lead cross-functional engineering teams.

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.

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

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.

Design, build, test, and maintain low-latency, high-throughput trading services on an Aeron-based platform. Expand trading protocol features, migrate workflows to the new stack, optimize performance and scalability, support production reliability, and collaborate with cross-functional teams while using AI-assisted development tools.

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.

Lead a Big Data engineering team specializing in data ingestion and governance, develop Big Data solutions in the Hadoop ecosystem, and foster a collaborative environment for technical skill building.

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.

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.

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.

Volunteer Principal Full Stack Engineer to lead and contribute across frontend and backend (React/React Native, Node.js, MongoDB). Own feature development, mentor engineers, collaborate with product/design, ship scalable code, and support CI processes. Must commit 4+ hours weekly and attend a weekly standup; first task includes launching a fundraising campaign.

Volunteer senior developer to design, build, and maintain a cross-platform medical scheduling app (web, iOS, Android). Participate across the full development lifecycle: design, coding, testing, CI, deployments, code reviews, production support, incident management, and platform architecture. Attend weekly standups and commit at least four hours per week.

Performs continuous security, API, UI, and regression testing for CMS Marketplace systems. Develops and maintains automated Java or Scala test frameworks for REST APIs, Gatling simulations, and Scala/Selenium UI and API integration frameworks. Executes functional and manual tests, validates environments and databases, documents defects and test results in JIRA, participates in Agile ceremonies and code reviews, prepares test data, expands regression suites, and reports testing progress across releases.

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

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

The Senior Backend Engineer develops core product features in ETL and GraphQL, designs APIs, builds ETL pipelines, and collaborates with frontend teams.

The Software Architect will design and implement intelligent document processing and agentic evaluation frameworks, leading architectural direction and coding in Python and Scala/Java.

The role involves designing CLI and backend services, maintaining code quality, collaborating on technical issues, and writing documentation.

Solutions Architects lead the adoption of Databricks' platform, consult on big data architecture, and develop solutions for customers. This role involves technical leadership, prototyping, and building reference architectures while collaborating with sales and technical teams.

Advise enterprise customers on designing, securing, administering, and deploying Databricks environments on Microsoft Azure. Architect scalable cloud infrastructure, networking, identity, disaster recovery, observability, and infrastructure-as-code solutions. Support pre-sales activities through proof-of-concept architectures and technical content, while sharing expertise through training, tutorials, hackathons, conferences, and open-source contributions.

Build and productionize customer-facing data and AI solutions on the Databricks platform. Own architecture and design decisions, develop end-to-end data pipelines and applications, integrate machine learning models, and guide enterprise customers through implementation and adoption. Collaborate with engineering, product, support, project managers, and customer stakeholders while delivering projects, documenting solutions, resolving issues, and creating reusable frameworks. Travel to customers approximately 20% of the time.

Designs, develops, and maintains infrastructure for ML pipelines and CI/CD. Analyzes infrastructure performance, collaborates with data and software teams, manages feature stores and model registries, writes maintainable code, and documents technical processes. The role requires experience with cloud, big-data, programming, workflow orchestration, version control, and continuous integration technologies.

Lead technical initiatives and architectural decisions for stream-aligned software teams. Build, evolve, and support scalable distributed web applications while applying software development, testing, security, data modeling, microservices, and API best practices. Collaborate with product managers and stakeholders to translate business goals into technical requirements, contribute to roadmaps and documentation, evaluate technologies, and mentor mid-level engineers in an agile environment.

Design and build scalable web applications, collaborate on product direction, and implement complex systems using ML techniques, ensuring software quality.