Top Remote Scala Jobs in Atlanta, GA

Develop and maintain scalable Java and Spring Boot REST services, APIs, and microservices for mission-critical geospatial systems. Support containerization, orchestration, CI/CD, DevOps automation, testing, infrastructure deployment, data platforms, and third-party integrations. Contribute to architecture, performance optimization, troubleshooting, documentation, stakeholder demos, and Agile delivery. The role requires onsite work in Herndon, Virginia and collaboration on national security missions.

Design and build backend services and APIs for identity resolution and platform integrations. Optimize event-driven pipelines processing billions of signals, deploy cloud-native services on AWS EKS and Kubernetes, and ensure reliability, observability, and scalability. Collaborate with engineering, product, and data teams to deliver identity solutions while mentoring junior engineers. The role requires expertise in backend or data engineering, distributed systems, streaming technologies, cloud deployment, data modeling, and high-throughput databases.

Build and deploy production-grade enterprise data platform solutions for strategic customers. Responsibilities include developing integrations, data pipelines, platform extensions, migrations, and AI workflows; deploying and troubleshooting distributed systems on Kubernetes; navigating security, networking, governance, and infrastructure constraints; leading technical workstreams; enabling customer teams; and converting recurring field needs into reusable automation and product improvements.

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.

Lead a hands-on software engineering effort for Zeta’s real-time events pipeline. Design, build, deploy, and operate high-volume event ingestion, processing, and delivery systems. Own architecture, reliability, observability, performance, cost, data quality, and on-call improvements. Collaborate with Product, Data, and downstream platform teams, define stable interfaces and SLAs, evaluate technologies, lead production launches, and mentor engineers through design and code reviews.

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.

Develop and support Kotlin APIs and high-volume distributed services for audience targeting and machine learning products. Work with Rust, PySpark, Kafka, relational databases, and hundreds of terabytes of daily data. Build reliable systems at scale, optimize existing products, collaborate with product and project leaders, and contribute to engineering culture. The role requires strong JVM-language development, SQL and database expertise, microservices experience, cloud infrastructure knowledge, and effective use of AI coding tools.

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.

Design and build scalable, secure, highly available revenue infrastructure for Netflix’s global financial workflows. Responsibilities include distributed data processing, financial data modeling, configurable pipelines, APIs, settlement, reconciliation, invoicing, and revenue partner systems. Collaborate with Product Managers, engineering teams, and Revenue Finance while independently delivering reliable solutions through complex cross-functional projects and test-driven development.

Designs and delivers complex cloud, data, and AI/ML systems. Responsibilities include building cloud-native microservices, serverless and containerized workloads; implementing infrastructure as code, CI/CD, monitoring, and observability; contributing to data platforms and MLOps; and integrating LLM capabilities. The role collaborates with engineering, data, AI, and product teams, documents architecture, participates in design reviews, establishes best practices, and mentors junior engineers.

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.

Sets technical direction for Helix’s Experience platform and broader engineering organization. Designs and implements distributed, full-stack genomic software systems focused on patient and provider experiences. Leads complex projects from scoping through production, advances AI-assisted engineering practices, establishes quality and delivery standards, mentors technical leaders, and drives cross-functional collaboration with product, design, research, scientific, and business teams.

Design, develop, test, maintain, and support Canton-based applications and Daml smart contracts. Translate client requirements into technical solutions, troubleshoot production issues, document software throughout the lifecycle, mentor team members, and participate in on-call rotations. The role requires hands-on Daml experience, knowledge of Canton networks and distributed ledger technology, software engineering experience with Scala or Haskell, database and API proficiency, PKI and messaging familiarity, and REST/gRPC integration experience.

Develop open-source Web3 and Web2 technologies for the Canton Network, solving complex distributed systems and security challenges. Own major software components, contribute to cloud deployments and operations, collaborate across distributed engineering teams, mentor engineers, and improve systems and processes. The role requires strong polyglot programming skills, preferably in Scala or Haskell, plus experience with Kubernetes, Pulumi, Helm, and Grafana.

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

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.

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 lead large-scale AWS migrations (rehost/replatform), architect cloud infrastructure and platforms, automate migrations with IaC and scripting, troubleshoot OS/database issues, and implement hybrid networking and security best practices.

Develop scalable, secure, performant web applications and data pipelines for healthcare technology. Partner with engineering, product, and business stakeholders on technical roadmaps, use Agile practices, improve observability and reliability, and mentor junior engineers through coaching and code reviews. Responsibilities include database querying, technical decision-making, API development, data ingestion, cloud technologies, containerization, CI/CD, and handling sensitive data.

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.

Designs, develops, and supports enterprise HPC and cloud infrastructure solutions. Responsibilities include architecture, software platform development, proof-of-concept delivery, capacity planning, system design, launch reviews, troubleshooting, documentation, and collaboration with engineering, product, sales, and open-source communities. The role requires maintaining system performance, solving ambiguous technical problems, and participating in an on-call rotation.

Senior backend engineer responsible for setting technical direction, designing scalable distributed systems, building customer-facing web applications, mentoring engineers, and applying machine learning to large-scale healthcare data. The role requires Java, Scala, or Rust expertise, cloud systems experience, technical design leadership, cross-functional collaboration, and adoption of agentic engineering practices.

Build scalable full-stack applications integrating healthcare insights with browser-based and Windows EHR systems. Develop products using FHIR and HL7 interoperability standards, collaborate on technical roadmaps, and implement performant solutions. Mentor junior engineers, conduct code reviews, make technical decisions, and partner with engineering, product, and business stakeholders using Agile processes.

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.