Top Senior Scala Jobs in San Diego, CA

Leads architecture and hands-on development for ServiceNow’s Workflow Data Fabric, including federated query, data synchronization, private connectivity, streaming, ingestion, and data quality platforms. Owns scalability, reliability, security, performance, technical standards, production escalations, and cross-team engineering direction. Mentors senior engineers and partners with product, infrastructure, security, quality, and support teams to deliver large-scale distributed data systems.

Lead backend platform development for high-throughput distributed systems, including request routing, traffic management, caching, asynchronous jobs, event processing, and shared services. Design and operate reliable platforms with strong consistency, availability, latency, and failure-mode characteristics. Lead multi-quarter initiatives, mentor engineers, document technical decisions, collaborate across teams, and improve developer experience. Preferred experience includes Kubernetes, open-source infrastructure, service meshes, workflow orchestration, platform APIs, and technical community contributions.

Lead the design, development, and operation of large-scale distributed backend services. Architect high-throughput platforms with a focus on scalability, reliability, performance, and maintainability. Apply expertise in distributed systems, messaging, databases, cloud platforms, capacity planning, and performance tuning. Debug complex issues, lead cross-team technical initiatives, mentor engineers, and contribute to technical documentation and engineering practices.

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.

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.

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.

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.

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.

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.

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.

Designs and delivers complex cloud, data, and AI/ML systems. Responsibilities include building cloud-native microservices, serverless and containerized workloads; implementing infrastructure as code, CI/CD, monitoring, and observability; contributing to data platforms and MLOps; and integrating LLM capabilities. The role collaborates with engineering, data, AI, and product teams, documents architecture, participates in design reviews, establishes best practices, and mentors junior engineers.

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.

Build and productionize customer-facing data and AI solutions on the Databricks Platform. Own architecture, design, implementation, deployment, and integration of data pipelines, distributed systems, ML/AI models, and applications. Lead technical delivery, advise enterprise stakeholders, train customers, resolve implementation issues, and contribute reusable frameworks and product feedback. This role requires customer immersion, cross-functional collaboration, and travel to customers approximately 20% of the time.

Build and productionize customer data and AI solutions on the Databricks Platform. Own architecture, design, development, deployment, and integration of scalable data pipelines, ML/AI models, and applications. Collaborate with customers, engineering, product, and project teams; provide technical guidance, training, documentation, and implementation support. Deliver measurable project outcomes, resolve technical issues, create reusable accelerators, and influence product direction. Travel to customers approximately 20% of the time.

Develop open-source Web3 and Web2 technologies for the Canton Network, solving complex distributed systems and security challenges. Own major software components, contribute to cloud deployments and operations, collaborate across distributed engineering teams, mentor engineers, and improve systems and processes. The role requires strong polyglot programming skills, preferably in Scala or Haskell, plus experience with Kubernetes, Pulumi, Helm, and Grafana.

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

Advise enterprise customers on designing, securing, administering, and deploying Databricks environments on Microsoft Azure. Architect scalable cloud infrastructure, networking, identity, disaster recovery, observability, and infrastructure-as-code solutions. Support pre-sales activities through proof-of-concept architectures and technical content, while sharing expertise through training, tutorials, hackathons, conferences, and open-source contributions.

Develop scalable, secure, performant web applications and data pipelines for healthcare technology. Partner with engineering, product, and business stakeholders on technical roadmaps, use Agile practices, improve observability and reliability, and mentor junior engineers through coaching and code reviews. Responsibilities include database querying, technical decision-making, API development, data ingestion, cloud technologies, containerization, CI/CD, and handling sensitive data.

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.

Senior backend engineer responsible for setting technical direction, designing scalable distributed systems, building customer-facing web applications, mentoring engineers, and applying machine learning to large-scale healthcare data. The role requires Java, Scala, or Rust expertise, cloud systems experience, technical design leadership, cross-functional collaboration, and adoption of agentic engineering practices.

Build scalable full-stack applications integrating healthcare insights with browser-based and Windows EHR systems. Develop products using FHIR and HL7 interoperability standards, collaborate on technical roadmaps, and implement performant solutions. Mentor junior engineers, conduct code reviews, make technical decisions, and partner with engineering, product, and business stakeholders using Agile processes.