cloud-native-development jobs in San Diego

Lead the design and development of an enterprise-grade payment hub and cash management platform for a wealth management client, architecting microservices, API-first, and cloud-native solutions. Drive end-to-end technical design including integrations with banking and fintech systems using middleware like PortX, ThoughtMachine, and API management platforms.…See more Provide technical leadership and mentorship to engineering teams, define architecture standards, and ensure security, scalability, and performance benchmarks across payment and treasury workflows.

Lead engineering and data science roadmap for Teradata's AI Platform, overseeing architecture, LLM integrations, RAG pipelines, vector store implementations, and data science experimentation frameworks. Partner with product, research, and engineering teams to define requirements for predictive modeling, multi-agent collaboration, and tool orchestration.…See more Manage and mentor a team of backend engineers, data scientists, and AI platform specialists while driving technical excellence, cloud-native practices, and platform scalability.

Senior Engineer, Software role focused on building and improving internal developer platforms, tools, and workflows at Shield AI. Responsibilities include bringing agentic AI into developer tooling, partnering with engineering teams to reduce friction, enabling collaboration through accessible tools and standards, and driving adoption through feedback and metrics.…See more The role requires 4+ years of software engineering experience with demonstrated expertise in developer tools, backend services, APIs, and distributed systems, plus strong systems thinking and cross-team collaboration skills. At the Staff level, the role expands to leading cross-team initiatives and shaping organizational approach to developer productivity.

Lead a Data Engineering team to establish modern DataOps and CI/CD practices, mentor engineers in PySpark, SQL, dbt, Fivetran, and cloud-native development, and design scalable data infrastructure across GCP, Azure, and AWS cloud data warehouses (BigQuery, Snowflake, Databricks). Manage technical delivery, collaborate across enterprise teams to develop end-to-end data solutions, and align data initiatives with business goals while remaining current on industry trends.See more

Lead a Data Engineering team to establish modern DataOps and CI/CD practices while providing technical mentorship in PySpark, SQL, dbt, and Fivetran. Design and optimize scalable, reliable data infrastructure across cloud and on-premise ecosystems (AWS, GCP, Azure) using Databricks, BigQuery, and Snowflake.…See more Manage end-to-end data sourcing, processing, integration, and delivery projects to meet business objectives and predetermined success criteria. Require 10+ years managing Data Engineering teams and 7+ years working with cloud-native data platforms and advanced SQL/Python/PySpark expertise.

Lead end-to-end development of AI agents and autonomous engineering tools for Teradata's enterprise platform, managing multiple global engineering teams. Shape engineering strategy for agent platforms, LLM gateways, vector stores, observability frameworks, and low-code/no-code/pro-code agent frameworks.…See more Drive architecture standardization, governance practices, operationalization pipelines, and ROI metrics while partnering with product, architecture, and AI platform teams. Requires 12+ years software engineering experience with 5+ years in technical leadership, hands-on expertise with LLMs, agent frameworks, distributed systems, cloud platforms (AWS, Azure, GCP), and modern CI/CD tools.