ai-assisted-development-tools jobs in San Diego

ServiceNow is hiring a Staff Software Engineer to design and optimize data persistence infrastructure for the ServiceNow platform. You will write highly scalable code managing data lifecycles, data loss detection and recovery, and distributed storage systems, while collaborating with cross-functional teams on data architecture and telemetry.…See more The role requires 8+ years of software development experience (or equivalent with advanced degrees), deep expertise in Java, concurrency, relational databases, Kubernetes, and distributed systems like S3 and Apache Iceberg.

As a Software Engineer on Qualcomm's Automotive Experience Platform team, you will design, develop, and validate embedded software and applications that demonstrate future automotive technologies at trade shows and customer demonstrations. You'll work across Android, Linux, Windows, and QNX platforms, contributing to rapid prototyping, debugging, integration, and demo readiness.…See more The role requires strong programming fundamentals in C/C++, Java, Kotlin, or Python, familiarity with embedded software debugging tools, and the ability to collaborate with cross-functional teams in a fast-paced concept-showcase environment. You will support the full software development lifecycle—from design and coding through unit testing, issue resolution, and technical documentation.

Software Engineer at Eli Lilly developing oncology applications that integrate laboratory systems, data pipelines, and enterprise platforms. The role requires 5+ years of software engineering experience and involves building AI-enabled capabilities, designing scalable APIs and web applications, deploying to AWS cloud infrastructure, and owning application reliability and lifecycle.…See more Key responsibilities include implementing data quality standards, contributing to CI/CD and containerization practices, mentoring junior engineers, and working directly with scientific and operational stakeholders.

The Senior Scientific Platform Engineer will develop and maintain software components, data processing workflows, and platform services that operationalize scientific innovations for clinical studies. The role requires translating research outputs and algorithms into production-grade backend services, APIs, and data pipelines on AWS, while collaborating with Science, Data Science, Product, and Engineering teams.…See more The ideal candidate has 5+ years building analytics platforms or scientific computing solutions, strong Python proficiency, and experience with cloud-native and serverless architectures. The position demands the ability to understand complex scientific methods and transform them into scalable, validated, maintainable software solutions within a regulated healthcare environment.

Lead Software Engineer responsible for planning and prioritizing the development backlog while supervising and mentoring two Software Engineer I positions. The role requires designing software architecture, implementing security best practices, establishing development/test/production environments, and conducting code reviews to ensure quality and maintainability.…See more This position requires 7+ years of progressive web application development experience and 2+ years of leadership/mentoring experience, with proficiency across full-stack development (front-end frameworks, server-side development, relational databases, APIs), Git-based version control, automated testing, and CI/CD pipelines.

Staff Site Reliability Engineer at SHEIN responsible for operating and evolving large-scale, mission-critical production systems with 24/7/365 on-call participation. Design, build, and maintain observability solutions (metrics, logs, traces, alerting) with AI-powered anomaly detection; own and operate core open-source infrastructure (APISIX, Nginx, Kubernetes, Kafka, Elasticsearch, Redis, Consul, Etcd, Zookeeper).…See more Automate operational workflows, reduce incident frequency and MTTR, and provide technical leadership across global engineering teams. Requires strong software engineering skills, deep Linux/networking/distributed systems expertise, and passion for solving problems at scale.