Top Senior Scala Jobs in San Diego, CA

Develop and maintain scalable Java and Spring Boot REST services, APIs, and microservices for mission-critical geospatial systems. Support containerization, orchestration, CI/CD, DevOps automation, testing, infrastructure deployment, data platforms, and third-party integrations. Contribute to architecture, performance optimization, troubleshooting, documentation, stakeholder demos, and Agile delivery. The role requires onsite work in Herndon, Virginia and collaboration on national security missions.

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.

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.

Design, build, operate, and debug scalable Java platform services running on AWS. Develop authentication, data-store connectivity, and access-control systems for enterprise customers. Define non-functional requirements and SLOs, resolve production issues, collaborate on large-scale features, improve engineering processes, and promote platform and security best practices through mentorship and documentation.

Develop and support Kotlin APIs and high-volume distributed services for audience targeting and machine learning products. Work with Rust, PySpark, Kafka, relational databases, and hundreds of terabytes of daily data. Build reliable systems at scale, optimize existing products, collaborate with product and project leaders, and contribute to engineering culture. The role requires strong JVM-language development, SQL and database expertise, microservices experience, cloud infrastructure knowledge, and effective use of AI coding tools.

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.

Design and lead large-scale AWS migrations (rehost/replatform), architect cloud infrastructure and platforms, automate migrations with IaC and scripting, troubleshoot OS/database issues, and implement hybrid networking and security best practices.

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.

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

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.

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.

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.