Top Scala Jobs in Washington, DC

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.

Manage and scale infrastructure across data centers and AWS using infrastructure-as-code, automation, and configuration management. Build and operate secure, maintainable deployments involving Kubernetes, EKS, containers, databases, firewalls, and AWS-native services. Improve system performance, observability, testing, and operational processes while collaborating with DevOps, platform, security, data science, and product teams. Lead major projects, mentor engineers, document solutions, and promote Agile engineering best practices in a regulated environment.

Design, build, and lead development of scalable, secure, high-performance cloud ingestion systems handling large throughput uploads. Provide technical leadership, system design, architecture reviews, mentorship, cross-team collaboration, roadmap management, and process improvements across multi-cloud infrastructure.

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 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.

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.

Develop and maintain back-end enterprise applications, APIs, databases, and data-storage solutions. Build scalable systems using modern architectures and open-source frameworks, optimize performance, conduct testing, support system modernization, and solve complex workflow and automation problems in collaborative Agile teams. Candidates need at least two years of software development experience, a bachelor's degree or equivalent experience, and the ability to obtain a Secret clearance.

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.

The Open Source Engineer will expand LanceDB's integration with big data systems, manage dataset operations, and enhance open-source community efforts.

Leads software architecture, full-stack delivery, cross-product integration, and technical quality for ARAT mission systems. Owns classified-enclave deployment, secure GitLab CI/CD pipelines, STIG compliance, RMF and information-assurance coordination, and Windows Army Gold Master compatibility. Establishes shared UI architecture and accessibility standards, designs enterprise test-data platforms and analytics strategies, and governs hybrid cloud, network security, identity, and cross-domain distribution across NIPR, SIPR, and JWICS. Mentors engineers and advises the Government on technical, security, data, and cloud investments.

Build and productionize customer-facing data and AI solutions on Databricks. Own architecture and design decisions while delivering scalable data pipelines, applications, ML/AI integrations, and user interfaces. Lead technical project delivery, advise enterprise stakeholders, train customers, resolve implementation issues, and contribute reusable engineering assets and product feedback. The role requires strong cloud, distributed computing, software engineering, MLOps, documentation, and customer engagement skills, with travel to customers approximately 20% of the time.