Top Scala Jobs in San Diego, CA

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.

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.

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

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.

Lead design and implementation of Affirm's Lakehouse Platform using Iceberg, Spark, Snowflake, and cloud storage. Drive platform roadmap, governance, access controls, performance and cost optimization, analytics engineering best practices, observability, and on-call readiness. Partner cross-functionally, mentor engineers, and build scalable, secure, self-service data infrastructure and semantic/agentic data tools.

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 and grow a Data Engineering team to build production data pipelines, medallion datasets, and reusable data products. Drive architecture, engineering standards, design reviews, and cross-functional delivery. Partner with Product, Analytics, Data Science, and Platform to enable governed, reliable data foundations for analytics and AI. Mentor engineers and manage multiple concurrent initiatives to deliver predictable outcomes.

Design and develop software solutions enhancing user experience for Governance features, contribute to open-source software, communicate technical designs, and support team quality through 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.

As a Software Engineer - Backend, you will develop products and manage engineering infrastructure, focusing on system design, security, and code quality.

As a Senior Software Engineer, you will develop new products and improve engineering infrastructure while taking ownership of product deliverables and enhancing technical architecture.

Build and productionize data and AI solutions for federal customers using Databricks. Own architecture, design decisions, data pipelines, ML/AI integrations, and user-facing applications. Lead technical delivery, advise customers, integrate client systems, provide training, and collaborate with engineering, product, support, and project teams. Contribute reusable frameworks and best practices while managing complex stakeholder relationships and delivering secure, scalable production systems.

Lead design and delivery of large-scale, cloud-native services powering millions of devices. Architect solutions for scalability and integration, own full service lifecycle in Kubernetes, mentor engineers, participate in on-call support, and drive engineering best practices across cross-functional teams.

Owns the architecture, implementation, security, governance, and evolution of a multi-tenant IoT data platform. Designs device-to-cloud ingestion, streaming and batch pipelines, lakehouse layers, APIs, analytics, and AI/ML data services using Azure and Databricks. Establishes data governance, security controls, observability, disaster recovery, CI/CD, infrastructure-as-code, and cost management. Acts as hands-on technical authority, leading architecture decisions, testing, platform modernization, cross-functional delivery, and mentoring.

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.

As a Senior Software Engineer at MNTN, you'll design and operate backend systems for ad delivery, ensuring high performance and reliability. You'll work with Java, Kotlin, and Scala to handle high-throughput services and contribute to architectural decisions while improving system efficiency.

Design, build, and operate highly scalable cloud-native microservices and web applications. Own features from design through production, improve observability, CI/CD, and cloud infrastructure, mentor teammates, collaborate across teams, and leverage AI developer tools to automate and accelerate engineering workflows.

Design and build scalable, secure backend services and platform shared services using C# or TypeScript. Own architecture, containerization (Docker/Kubernetes), AWS infrastructure, databases (Postgres/NoSQL), CI/CD and IaC, security, performance, and third-party API integrations. Mentor engineers, drive platform vision, reduce technical debt, and deliver high-impact, reliable distributed systems.

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.

The Sr. Database Administrator will manage SQL Server databases, perform optimization and troubleshooting, and develop data pipelines using Databricks, focusing on enterprise data platforms.

The Senior Backend Engineer develops core product features in ETL and GraphQL, designs APIs, builds ETL pipelines, and collaborates with frontend teams.

The Software Architect will design and implement intelligent document processing and agentic evaluation frameworks, leading architectural direction and coding in Python and Scala/Java.

The role involves designing CLI and backend services, maintaining code quality, collaborating on technical issues, and writing documentation.

Solutions Architects lead the adoption of Databricks' platform, consult on big data architecture, and develop solutions for customers. This role involves technical leadership, prototyping, and building reference architectures while collaborating with sales and technical teams.