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

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

As a Staff Software Engineer, you'll design and operate traffic infrastructure, lead multi-team projects, ensure service reliability, and mentor engineers while utilizing AI tools for development efficiency.

Develop and manage high-performance back-end systems, design secure APIs, optimize performance in cloud environments, conduct testing, and manage ML model lifecycles.

The Senior Backend Engineer will develop the Payroll product, overseeing the entire development cycle from design to deployment, in a microservices architecture.

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.

The Senior Software Engineer will build and enhance 15Five's Data Intelligence Platform while collaborating with Data Science and Product Engineering teams.

The role requires a Java - Scala Architect to lead data engineering solutions, manage Apache Spark, and work with NoSQL systems while collaborating on data pipelines and processing large datasets.

As a Staff Data Engineer, you will lead in designing, developing, and testing software applications, ensuring quality, scalability, and reliability, while mentoring junior staff and collaborating with teams.

Design, build, and scale event-driven, distributed backend systems in Python to extract and enrich metadata at massive scale. Lead architecture, mentor engineers, integrate ML/LLM components, optimize performance, and ensure observability and reliability across AWS-based pipelines.

Design, implement, and scale event-driven, distributed backend systems in Python on AWS to process and enrich large-scale document and media datasets. Lead technical projects, mentor engineers, integrate ML/LLM components, optimize performance, maintain observability, and collaborate with Data Science, ML Engineering, and Product to deliver reliable high-throughput content processing services.

Design, build, and optimize event-driven, distributed backend systems and APIs in Python for large-scale content metadata extraction and enrichment. Deploy and operate resilient AWS-based pipelines, collaborate with ML teams to integrate models, and ensure system performance, observability, and data integrity.

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.

The Open Source Engineer will expand LanceDB's integration with big data systems, manage dataset operations, and enhance open-source community efforts.

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.

The Senior Software Engineer will enhance AI system reliability, performance, and scalability, focusing on distributed services and collaborating with ML researchers.

Design, build, and maintain data platform tools, ensuring data quality and integrity. Collaborate with data science teams and enforce best software practices.

Design, build, and deliver cloud-native software enhancements for investor and tax applications. Develop microservices on AWS/Kubernetes, implement CI/CD and TDD practices, integrate messaging systems like Kafka, debug relational databases, and collaborate with DevOps and stakeholders to improve scalability, resiliency, automation, and cross-team initiatives.

Build and maintain large-scale batch and streaming data ingestion and ETL pipelines for global geospatial datasets. Implement, test, monitor, and optimize backend services on AWS; integrate data with APIs; mentor engineers; reduce technical debt; and participate in design, code reviews, and on-call support to ensure data quality and operational excellence.

The Senior Research Engineer designs and builds data-intensive systems and tooling, mentoring the team and enhancing project efficiency across research and civic technology.

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

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

The Product Support Engineer will handle customer environments, resolve Hadoop and Spark issues, and ensure optimal performance during migrations and upgrades.