Top Remote Scala Jobs in San Diego, CA

Lead architecture and technical direction for a high-volume log analytics platform spanning ingestion, storage, querying, reliability, and AI-driven capabilities. Shape the roadmap with engineering, product, leadership, and customers; build prototypes; guide migrations and schema changes; set reliability and cost standards; influence teams without direct ownership; mentor senior engineers and technical leads; and promote strong practices in quality, on-call operations, and incident learning.

Provides technical leadership on complex, high-impact engineering projects from design through launch. The role involves architecture, company-wide initiatives, engineering excellence, mentoring technical leaders, and establishing standards for scalable, reliable, secure, observable systems. The engineer will collaborate across teams, communicate complex technical topics, and apply customer-focused decision-making and A/B testing techniques.

Lead backend platform development for high-throughput distributed systems and shared services. Design and operate request routing, traffic management, caching, asynchronous processing, messaging, and event-driven architectures. Lead multi-quarter initiatives across engineering teams, make technical decisions, document trade-offs, mentor engineers, and improve developer experience. Preferred experience includes Kubernetes platforms, service meshes, workflow orchestration, backward-compatible APIs, open-source infrastructure, and technical community contributions.

Lead the architecture, development, and operation of large-scale distributed backend services. Responsibilities include designing high-throughput systems, optimizing scalability and reliability, operating services in cloud environments, managing data stores and messaging systems, debugging complex issues, leading technical initiatives, mentoring engineers, and collaborating across teams.

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.

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.

Develop and maintain full-stack product features, REST APIs, ERP integrations, and AI document-capture capabilities for NG and SMRTR TRAC. Work with Vue, TypeScript, Node.js, Scala, PostgreSQL, and MongoDB; improve reliability, performance, security, and test coverage. Translate customer and business requirements into software, estimate work, support production go-lives, troubleshoot issues, document solutions, and collaborate with engineering, sales, professional services, and customers.

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.

Own the technical direction and delivery of WEX’s data acquisition platform. Build reusable, high-performance batch, CDC, and streaming ingestion services with schema validation, reconciliation, recovery, lineage, security, observability, and auditability. Lead architecture and code reviews, establish testing and CI/CD practices, mentor engineers, resolve cross-team dependencies, and support production escalations. The role requires hands-on development of scalable distributed systems and configuration-driven connectors.

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.

Build and lead data catalog infrastructure supporting data discovery, metadata management, governance, quality, lineage, privacy, access control, and retention. Develop scalable metadata integrations, onboarding tools, data policies, and end-to-end lineage products across online, offline, machine learning, metrics, visualization, and third-party datasets. Collaborate with cross-functional infrastructure teams to ensure Airbnb data assets are cataloged, discoverable, governed, and compliant with regulatory requirements.

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.

Develop, test, troubleshoot, and support high-volume software applications in an Agile environment. Collaborate with architects, product teams, customers, and engineers throughout the software development lifecycle. Participate in design and code reviews, automated testing, production monitoring, security and privacy practices, and root-cause analysis. Use approved AI-assisted development tools responsibly across coding, testing, debugging, documentation, and delivery while maintaining accountability for software quality, reliability, performance, and maintainability.

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.

Own and extend Airbnb’s Minerva semantic layer and data-authoring platform. Build core services, including query rewriting, and deliver reliable systems that help internal users define and consume business metrics. Scope ambiguous, cross-team initiatives, partner with users and product teams, evaluate data and database technologies, and manage design, implementation, testing, deployment, and on-call responsibilities.

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.

Build and maintain large-scale healthcare data platform software using HL7/FHIR, Apache Spark, Python, Scala, Databricks, and cloud technologies. Shape technical roadmaps, architecture, and implementation approaches; collaborate with product and business stakeholders; maintain CI/CD and staging environments; and mentor junior engineers. The role requires deep healthcare data expertise, technical leadership, and experience with modern software engineering and integration practices.

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.