Top Senior Scala Jobs in Washington, DC

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.

Design and build Airbnb’s big data compute platform supporting ETL, analytics, and machine learning. Operate and improve platform reliability, performance, observability, and cost efficiency. Develop maintainable code, conduct code reviews, contribute to open-source software, and design scalable distributed systems. Collaborate across teams to define requirements, troubleshoot complex infrastructure issues, and integrate solutions using technologies such as Spark, Trino, Kubernetes, Java, and Scala.

Build and operate cloud-native platform networking for Axon, including Kubernetes service mesh, ingress, TLS certificate automation, DNS, edge routing, and infrastructure-as-code. Improve reliability, security, observability, and deployment processes for globally distributed production systems. Advise engineers through design reviews and pair programming, troubleshoot distributed-system issues, address vulnerabilities, and maintain highly available services meeting strict regulatory expectations such as FedRAMP.

Senior engineer responsible for designing, building, and operating scalable data ingestion, processing, storage, and member-facing membership application. Drive architecture decisions, mentor engineers, build data pipelines, APIs, and ensure reliability, observability, CI/CD, and documentation while partnering with product and analytics stakeholders.

Design, develop, test, and maintain backend services and APIs for secure fintech and crypto products. Collaborate with engineering and product teams on architecture, code reviews, system design, and deployment using Azure. Optimize backend performance and scalability, resolve defects, follow DevOps and CI/CD practices, and build reliable systems supporting payments, transfers, and other financial activity.

Develop and operate IAM services powering Elastic Cloud and on-premises offerings. Responsibilities include backend software development, technical design, production debugging, incident response, customer issue resolution, security and reliability improvements, and on-call participation. The role involves distributed systems, containers, virtualization, microservices, cloud platforms, Kubernetes adoption, and collaboration across globally distributed engineering teams.

Build and operate scalable AI platform infrastructure enabling secure, reliable access to foundation models and AI agents. Responsibilities include developing model gateways, provider integrations, routing, usage controls, observability, governance, and self-service platform capabilities. The role involves architecting distributed systems, improving reliability and security, collaborating across engineering and product teams, mentoring engineers, and establishing high-quality engineering practices.

Design, develop, debug, and improve Elastic’s cloud control-plane offerings. The role involves guiding cross-team architecture, leading development best practices, creating technical plans, diagnosing complex failures, prioritizing fixes and features, and collaborating with Support and Elasticsearch engineering teams. The engineer will contribute to reliable, scalable SaaS foundations while providing pragmatic technical leadership across a distributed engineering organization.

Design, build, and operate backend services supporting external penetration testing, including Python APIs, workflow orchestration, ETL pipelines, AWS data lakes, GraphQL and graph APIs, Kubernetes infrastructure, and observability systems. Own service performance, scalability, uptime, deployment, and production operations while collaborating with product, design, and frontend teams. Contribute to architecture, technical documentation, platform stability, and user-facing launches.

Lead the architecture, development, operation, and evolution of PlayStation’s real-time analytics platform. Build scalable distributed data systems using streaming and OLAP technologies, integrate batch and streaming workloads, improve reliability and performance, and develop AI-powered engineering capabilities. The role provides technical leadership across teams, mentors engineers, drives architecture and standards, resolves production incidents, and participates in on-call support.

Build and optimize distributed Lance dataset operations, high-performance indices, table formats, and data encodings in Rust. Develop integrations with Spark, Hive Metastore, Presto, Trino, Ray, and other data infrastructure systems. Improve internal data processing infrastructure, contribute to open-source communities, and promote Lance through technical conferences. The role requires deep distributed systems expertise and extensive experience with high-performance databases, big data, or AI training systems.

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 operate scalable data pipelines, backend services, APIs, and infrastructure powering AI-driven healthcare applications. Design distributed data systems, ETL workflows, streaming platforms, and cloud-native architectures while partnering with AI, machine learning, and product teams. Own production reliability, observability, security, automation, and on-call support for business-critical systems.

Designs large-scale data platforms and distributed systems, develops automated data pipelines, establishes architecture standards, and improves platform scalability, resiliency, performance, and cost efficiency. Partners with engineering, product, security, cloud, and architecture teams to modernize workflows and establish governance, security, and observability practices. Leads architecture reviews, resolves technical decisions, mentors technical staff, and communicates strategy and risk to senior leadership.

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.

Build and operate backend APIs, a reusable integration platform, security-tool connectors, MCP capabilities, and event-driven services. Own GraphQL federation, permissions, multi-tenant access, reliability, observability, vendor API resilience, and production operations. Collaborate across engineering, product, and security teams while mentoring other engineers and contributing to technical standards.

Build and operate backend services for licensing, entitlements, provisioning, access control, multi-tenant administration, MSP/MSSP workflows, audit logging, and notifications. Design reliable cloud-native systems using Docker, Kubernetes, and relational databases, while contributing to observability, incident response, documentation, testing, and platform security. Collaborate across engineering, product, and design teams and mentor less experienced engineers.

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 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.

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.

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.

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.