Top Remote Scala Jobs in San Diego, CA

Design, develop, test, deploy, and monitor scalable backend systems for a payroll SaaS product. Build APIs and microservices, collaborate with product and engineering teams, participate in code reviews, and own the full development lifecycle in a continuous delivery environment. The role emphasizes Kotlin, Scala, or Java, cloud platforms, automated testing, relational databases, scalable architecture, and responsible use of AI coding tools.

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.

Leads customer-facing delivery of production-grade data and AI solutions for government clients. Owns architecture, design, implementation, deployment, and integration of data pipelines, distributed systems, ML/AI models, and applications using Databricks. Guides customers, collaborates with engineering and product teams, delivers technical projects, resolves implementation issues, and creates reusable frameworks. The role requires enterprise stakeholder management, customer immersion, technical training, documentation, and 25% travel to client sites.

Designs, builds, and maintains backend APIs, data services, microservices, integrations, data pipelines, and cloud-based solutions. Integrates healthcare, CRM, telephony, SaaS, and AI platforms; develops secure data models and interfaces; troubleshoots complex application and performance issues; and contributes to DevOps, testing, documentation, architecture, and code reviews.

Lead platform engineering and cloud migration solutions, primarily moving VMware workloads from on-premises data centers to AWS. Architect and manage enterprise AWS infrastructure, hybrid networking, infrastructure-as-code, automation, CI/CD, security, monitoring, and container platforms. Use migration assessment and execution tools, troubleshoot Windows and Linux systems, and support database and application migrations. Collaborate on scalable, secure cloud architectures across application, data, analytics, and machine learning environments.

Design, build, test, deploy, and operate cloud-native applications, distributed services, data platforms, APIs, and AI-powered experiences. Develop frontend and backend solutions, data pipelines, analytics frameworks, and intelligent workflows using Azure and modern engineering practices. Own technical designs, modernization, observability, security, compliance, incident response, and operational reliability. Collaborate cross-functionally, mentor engineers, and contribute to architecture, code reviews, automation, and continuous improvement.

Lead a team of five engineers responsible for modernizing job ingestion pipelines, data stores, data access, data quality, and fraud detection systems. Partner with product managers, data scientists, and engineering stakeholders to prioritize scalable, real-time data initiatives. Improve the handling of messy user-generated and third-party data while ensuring performance, maintainability, security, and personalization capabilities across ZipRecruiter’s job marketplace.

Lead development of scalable backend services and data platforms using Scala and Rust. Design distributed systems, APIs, data pipelines, and security-data workflows; guide Scala-to-Rust migration; support Python-based malware analysis, threat detection, and machine learning systems. Own production reliability, architecture, code quality, reviews, deployment, observability, and incident response in a cloud-native environment.

Leads architecture, development, deployment, and operations for Python backend services supporting internal penetration testing. Designs scalable ETL pipelines, distributed workflows, relational data models, SQL queries, GraphQL APIs, and graph-based attack-path data systems. Owns reliability, observability, performance, and production operations while coordinating cross-team initiatives. Provides technical direction, writes architecture documentation, mentors engineers, and partners with frontend, product, data, and attack teams to deliver customer-facing security results.

Design and maintain distributed Lance dataset operations, develop high-performance indices and data formats, and improve query performance across Spark, Ray, and Trino. Contribute Rust-based table formats and encodings, integrate Lance with major open-source data infrastructure systems, operate internal data processing infrastructure, and promote the project through open-source communities and conferences.

The Lead Rust Software Engineer will design and build scalable applications, mentor teams on Rust, and contribute to complex product development.

Design, develop, and maintain high-performance Scala/Java server-side applications and RESTful APIs. Work on distributed systems, ensure data integrity and security, write unit tests, optimize performance, participate in design reviews, and mentor junior engineers while supporting CMS mission requirements.

Lead architecture, development, and technical strategy for scalable cloud-native applications, distributed services, APIs, data platforms, workflows, and AI-powered capabilities. Drive modernization, reliability, security, observability, CI/CD, and operational excellence across teams. Translate complex requirements into scalable technical solutions, mentor engineers, influence architecture, and develop intelligent experiences using generative AI, RAG, agents, and automation.

Build and architect Alpaca’s algorithmic trading platform, developing high-performance, low-latency brokerage systems. Responsibilities include extensive frontend and backend coding, distributed system design, database and concurrency architecture, high availability, throughput optimization, and object-oriented modeling. The role requires prior experience with trading or exchange systems, including OMS and RMS platforms, and involves making critical technical decisions in a demanding early-stage environment.

Build and operate the backend platform for autonomous cybersecurity agents, including durable workflow execution, tool and connector frameworks, safe-change pipelines, tenant isolation, ETL, GraphQL services, observability, audit trails, and distributed systems. Partner with AI researchers and security engineers to productionize agent capabilities across customer environments while enforcing authorization, rollback, quotas, and data protection.

Design, develop, test, troubleshoot, and support high-volume software applications in an Agile environment. Collaborate with architects, product partners, customers, and engineers throughout the software development lifecycle. Participate in design and code reviews, automated testing, production monitoring, security, observability, and continuous improvement. Use approved AI-assisted development tools responsibly across coding, testing, debugging, analysis, and documentation while ensuring software quality, security, performance, and maintainability.

Design, develop, troubleshoot, and support secure, high-volume software applications in an Agile environment. Provide technical leadership across the software development lifecycle, lead code and design reviews, establish automated testing, monitor production systems, and improve quality practices. Collaborate with architects, product partners, customers, and engineers while mentoring team members. Build and maintain AI-enabled components responsibly, applying security, privacy, governance, observability, and compliance standards.

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.

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.

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.