partitioning jobs in San Diego

Staff Engineer responsible for designing, building, and operating the Forge Platform—a distributed-systems foundation serving autonomy, ML, simulation, and test teams. You will architect cloud-native backend infrastructure, establish reusable platform capabilities, define technical standards, and remain hands-on in production troubleshooting, performance analysis, and reliability improvement.…See more Required: deep expertise in production distributed systems, Go and Python, workflow orchestration, and the ability to translate complex architecture into usable interfaces across multiple downstream teams.

Software Engineer II responsible for operating and improving large-scale SQL, NoSQL, streaming, and caching platforms (Cassandra, Aurora, Aerospike, Kafka, Redis, DynamoDB, ElastiCache) with a focus on reliability, automation, and observability. Build self-service developer experiences using Terraform and infrastructure-as-code, participate in on-call incident response, and develop APIs and automated tests for infrastructure tooling.…See more Requires 3+ years in software engineering, database reliability engineering, SRE, or platform engineering, with hands-on Go experience, Terraform proficiency, AWS/GCP knowledge, and Kubernetes familiarity.

Software Engineer II responsible for operating and improving large-scale data platforms (SQL, NoSQL, streaming, caching) with a focus on reliability, automation, and self-service infrastructure. The role involves building observability tooling, participating in on-call incident response, troubleshooting database and infrastructure issues, and collaborating across teams to deliver reliable stateful services.…See more Required skills include Go, Terraform, API design, Kubernetes, and hands-on experience with databases like Cassandra, Aurora, Kafka, Redis, and DynamoDB on AWS or GCP.

RIVO is seeking a Senior Data Platform Engineer to architect and build a modern enterprise data platform supporting analytics, machine learning, and near real-time processing. You will design the foundational data warehouse or lakehouse architecture, modernize legacy ETL processes, implement CDC-based ingestion and low-latency pipelines, and establish data quality and governance frameworks.…See more This role requires 8+ years of data warehousing or platform engineering experience, expertise in cloud platforms (Snowflake, Databricks, Azure), SQL and Python proficiency, and the ability to support both analytics and data science workloads at enterprise scale.