Top Scala Jobs in Atlanta, GA

Design, develop, and maintain scalable backend services and distributed systems using Scala, Java, and the Akka ecosystem; build RESTful APIs and cloud-native solutions on AWS; design data access with Slick/SQL; maintain CI/CD pipelines; participate in architecture, code reviews, troubleshooting, and performance improvements.

Build and ship complex consumer-facing full stack applications. Work on React/TypeScript frontends (offline PWAs using IndexedDB/DexieJS and Workbox) and Scala/Play backends with PostgreSQL. Deploy on AWS via Kubernetes. Mentor engineers, collaborate in product-focused cycles, and thrive in a fast-moving startup environment.

Build and maintain full-stack features on a product-oriented team, owning product areas end-to-end. Ship customer-facing functionality, design and optimize data models and schemas, work with React state management, relational databases, cloud services, event streaming, caching, and AI tools. Collaborate cross-functionally, take high ownership, and occasionally support mission-critical work outside normal hours.

Lead platform strategy, architecture, and hands-on development. Design, build, deploy, and operate high-performance, fault-tolerant integrations and platform enhancements. Drive security/compliance, mentor engineers, recruit senior talent, align technology with business goals, and communicate technical vision to stakeholders.

Design, develop, optimize, and deploy high-performance data processing applications using Scala and Apache Spark on Cloudera CDH. Build and tune ETL pipelines integrating HDFS, Hive, Impala, HBase, and Kafka. Ensure data integrity and security, troubleshoot performance, collaborate with data scientists and analysts, and implement version control and CI/CD.

Design, develop, test, optimize, and deploy large-scale Spark/Scala data processing and ETL pipelines on Cloudera Hadoop. Collaborate with data scientists and analysts, ensure data integrity and security, troubleshoot performance, and implement version control and CI/CD for Spark applications.

Design, develop, optimize, test, and deploy large-scale Spark/Scala data processing and ETL pipelines within the Cloudera ecosystem. Collaborate with data scientists and analysts, ensure data integrity and security, troubleshoot performance issues, and implement version control and CI/CD for production data solutions.

Design, develop, optimize, and deploy large-scale data processing applications using Scala and Apache Spark within the Cloudera Hadoop ecosystem. Build ETL pipelines, ensure data integrity and performance, troubleshoot Spark/Cloudera issues, collaborate with data scientists and analysts, and implement version control and CI/CD for Spark applications.

Design, develop, optimize, and deploy high-performance Spark/Scala data processing applications and ETL pipelines within the Cloudera Hadoop ecosystem. Collaborate with data scientists and analysts, ensure data integrity and performance, troubleshoot Spark/Cloudera issues, and implement version control and CI/CD for Spark applications.

Guide customers through cloud data engineering transformations, providing leadership for data projects and architecting production workloads. Collaborate with architects, deliver training, and enhance community adoption using Databricks Intelligence Platform.

Customer-facing Specialist Solutions Architect guiding customers on Databricks administration and secure production deployments on GCP. Architect production deployments, address security, networking, identity, automation (IaC), provide technical leadership for proofs-of-concept, training, and community contributions.

As a Cloudera Solutions Engineer, you will create customer-centric solutions, lead cross-functional collaborations, and transform customer feedback into product improvements.

The Databricks Architect will design and implement data architecture solutions using Databricks, AWS, and Snowflake, focusing on MLOps and data governance.

As a Founding Engineer, you'll develop disruptive observability products, optimize software stacks, engage with customers, and contribute to company culture.

Design and implement the OTX runtime, integrate with diagnostic protocols, and ensure quality through testing and concurrency management.

As a Principal Software Engineer, you will architect AI-enabled systems, mentor teams, and guide technical decisions for scalable products.

Lead customer-facing, production-grade data and AI solutions on Databricks: design architectures, implement data pipelines and ML integrations, embed with stakeholders, deliver projects, and produce reusable accelerators and best practices.

Design and evolve data pipelines, ensure accuracy of business datasets, improve data reliability, and partner across teams to provide insights and solutions.

As a Senior Software Engineer at MNTN, you'll design and operate backend systems for ad delivery, ensuring high performance and reliability. You'll work with Java, Kotlin, and Scala to handle high-throughput services and contribute to architectural decisions while improving system efficiency.

As a Staff Software Engineer, you will design and implement backend services, write primarily in Scala, and improve product architecture in collaboration with teams.

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 Staff Software Engineer will architect and implement scalable data systems, collaborate with teams, mentor engineers, and ensure data integrity.

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

Lead a team of 4 to 6 software engineers, driving operational, technical, and communication efforts to deliver impactful software solutions in healthcare technology.

The Software Engineer will modernize the platform, enhance legacy systems, design new services, and collaborate on architecture, leveraging various technologies and engineering practices.