Top Remote 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.

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.

As a Staff Software Engineer, you'll design and operate traffic infrastructure, lead multi-team projects, ensure service reliability, and mentor engineers while utilizing AI tools for development efficiency.

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.

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.

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.

The Senior Backend Engineer will develop the Payroll product, overseeing the entire development cycle from design to deployment, in a microservices architecture.

Customer-facing senior engineer who architects, builds, and productionizes end-to-end data and AI solutions on the Databricks platform. Leads design, implements data pipelines, ML integration, CI/CD, and reusable assets while embedding with customers to drive measurable outcomes.

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.

Lead a 5-6 person engineering team to build a cloud-native, AI-driven Coordination of Benefits product. Own architecture, roadmap, production releases, hiring, coaching, and engineering standards. Collaborate with product, ML, UX, QA, and operations to design rules engines, claims pipelines, and scalable secure systems for regulated healthcare data.

Lead customer engagements and pre-sales for Databricks-based data platforms. Architect and deliver end-to-end data engineering solutions supporting BI, ML/AI, and analytics; manage multiple accounts, mentor teams, ensure data quality, governance, and production readiness, and produce technical documentation and presentations.

Design, build, and deliver scalable big data ETL solutions across distributed environments using Spark (PySpark/Scala), Hadoop ecosystem, Databricks, and Azure. Develop and automate ETL workflows, tune Spark jobs, integrate multiple data sources, create tests and technical designs, collaborate with Data Science, QA, and Ops, and troubleshoot data delivery issues under agile processes.

Lead architecture and delivery of large-scale, cloud-native distributed systems. Own service lifecycle in Kubernetes, drive scalability and reliability, mentor engineers, participate in on-call, and coordinate cross-functional initiatives.

Build and maintain production-scale data systems and web-scale datasets (Spark/Flink). Design schemas and data models, write software (Java/Scala), partner with algorithm teams to enable personalization, and drive continuous improvement of data products and frameworks.

Build and operate low-latency, highly available distributed data systems and services to deliver high-quality data products that power ML models and product experiences. Partner with data scientists and product teams, design scalable multi-tenant systems, ensure observability and operational reliability, and enable self-service data access.

Build and operate Tier-0 Pricing, Catalog, and Offers services powering Netflix commerce for 330M members. Design and implement product-facing features and platform infrastructure, solve distributed systems problems (consistency, race conditions, throughput), partner cross-functionally, and own production reliability including on-call incident response.

Design and implement Alpaca's low-latency, high-throughput algo trading platform. Work across frontend and backend, databases, and distributed systems; optimize performance and concurrency; architect scalable, highly available services; and develop/extend OMS and RMS functionality for trading/exchange systems.

Staff-level platform engineer to improve and scale inherited Scala systems, redesign data layers for ML/AI, build a Rust service framework, enhance observability and resilience, shape developer tooling and standards, and work across JVM, Rust, Python, SQL, and Spark.

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.

Build and maintain NMI's bank-to-bank payment systems: public APIs, internal tools, and third-party integrations. Design and develop services in Scala, TypeScript, and C#, apply TDD, own production quality and incidents, work with AWS containerized microservices, messaging, data stores, and CI/CD. Use AI-first tools to accelerate development, participate in agile processes, refactor large codebases, and collaborate with product and SRE to deliver resilient payment features.

Design, develop, and maintain high-performance Scala/Java server-side applications and RESTful APIs. Work on distributed systems, ensure data integrity and security, write unit tests, optimize performance, participate in design reviews, and mentor junior engineers while supporting CMS mission requirements.

Design and evolve a high-availability, low-latency trading backend. Translate product requirements into technical designs, lead monolith-to-microservices decompositions, define architecture standards, and ensure operational resilience and scalable real-time stream processing in production.