Top Senior Scala Jobs in San Diego, CA

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.

The Senior Quality Engineer will enhance the automation framework, improve automated coverage, drive quality in compliance-critical software, and establish testing pipelines while collaborating with multiple teams.

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.

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.

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.

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

Lead design, implementation, and operation of large-scale, low-latency distributed data platforms and stream processing. Own RTAP architecture, build/optimize services (Flink, Spark, ClickHouse, Druid), integrate batch/stream lakehouse patterns, apply AI tooling to automate platform workflows, mentor engineers, and lead production incident response and reliability improvements.

The Java - Scala Architect will need to program in Java and Scala, manage Apache Spark technologies, and work with NoSQL systems. Additional experience with Hadoop, web services, and data pipeline building is preferred.

Lead a 5-6 person engineering team to build a cloud-native, AI-driven Coordination of Benefits product. Own architecture, roadmap, production releases, hiring, coaching, and engineering standards. Collaborate with product, ML, UX, QA, and operations to design rules engines, claims pipelines, and scalable secure systems for regulated healthcare data.

Performs continuous security, API, UI, and regression testing for CMS Marketplace systems. Develops and maintains automated Java or Scala test frameworks for REST APIs, Gatling simulations, and Scala/Selenium UI and API integration frameworks. Executes functional and manual tests, validates environments and databases, documents defects and test results in JIRA, participates in Agile ceremonies and code reviews, prepares test data, expands regression suites, and reports testing progress across releases.

Build and operate low-latency, highly available distributed data systems and services to deliver high-quality data products that power ML models and product experiences. Partner with data scientists and product teams, design scalable multi-tenant systems, ensure observability and operational reliability, and enable self-service data access.

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.

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 maintain NMI's bank-to-bank payment systems: public APIs, internal tools, and third-party integrations. Design and develop services in Scala, TypeScript, and C#, apply TDD, own production quality and incidents, work with AWS containerized microservices, messaging, data stores, and CI/CD. Use AI-first tools to accelerate development, participate in agile processes, refactor large codebases, and collaborate with product and SRE to deliver resilient payment features.

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.

The role involves designing, building, and optimizing a data platform, collaborating with cross-functional teams, and ensuring data quality and security.

Lead design and implementation of health data products, mentor engineers, own multiple projects, and develop scalable data solutions using modern technologies.

Lead design and implementation of products, mentor engineers, drive innovation, and build scalable data solutions using modern tech stack.

Design and deliver scalable, secure data platforms and architectures (Databricks/cloud) for customers. Split time between billable and pre-sales, lead solution design, mentor teams, ensure data governance and security, validate ETL/data pipelines, produce documentation and presentations, and manage multiple customer accounts to deliver production-ready data solutions.

Lead refactoring and optimization of scalable data pipelines, design next-generation distributed storage and processing systems, build clean interfaces for diverse data consumers, mentor engineers, and establish engineering standards and processes.

Build and ship complex consumer-facing full stack applications. Work on React/TypeScript frontends (offline PWAs using IndexedDB/DexieJS and Workbox) and Scala/Play backends with PostgreSQL. Deploy on AWS via Kubernetes. Mentor engineers, collaborate in product-focused cycles, and thrive in a fast-moving startup environment.

Lead platform strategy, architecture, and hands-on development. Design, build, deploy, and operate high-performance, fault-tolerant integrations and platform enhancements. Drive security/compliance, mentor engineers, recruit senior talent, align technology with business goals, and communicate technical vision to stakeholders.