Top Tech Jobs & Startup Jobs in Seattle, WA

Develop and support scalable Salesforce solutions, including Apex, Lightning components, Flows, configurations, integrations, automation, and CRM capabilities. Design secure enterprise architectures, APIs, and data models; troubleshoot and train users; collaborate with stakeholders and Agile teams; conduct testing, deployments, code reviews, and mentoring. Evaluate new Salesforce features such as Agentforce while ensuring security, data integrity, performance, and continuous improvement.

Designs and maintains automated testing frameworks for Salesforce and integrated enterprise applications. Develops tests for Lightning UI, Apex workflows, Salesforce Flows, APIs, and integrations; performs functional and regression testing; validates customizations; supports CI/CD and DevOps; manages defects; and develops quality strategies. Collaborates with product, engineering, architecture, business, and release teams in Agile ceremonies while using AI to improve test design, edge-case discovery, result analysis, and root-cause investigation.

Develop and maintain scalable full-stack applications using Java Spring Boot and React. Build REST APIs, integrate warehouse and logistics systems, and work with Apache Kafka event streams. Support legacy application modernization, distributed systems, microservices, relational databases, production troubleshooting, performance improvements, testing, code reviews, and cross-functional technical collaboration.

Lead and improve engineering practices for a global pricing platform: design and build scalable Java Spring Boot microservices and React frontends, own APIs and data integrations (Kafka, BigQuery), mentor engineers, drive testability, CI/CD, observability, and adoption of AI-assisted development workflows.

Own quality for a large mobile platform through hands-on exploratory/manual testing and automation advocacy. Shift testing left with dev/product/design, build and scale automation frameworks (Appium/Java/Cucumber), push coverage into unit/component/contract layers, use AI-augmented tooling for test design and triage, and influence distributed teams to increase automation and improve QA processes.

Work with clients to gather and document requirements, rapidly prototype solutions (including AI tools), present and iterate on designs, bridge business and technical teams, collect user feedback, and support product quality and decision-making.

Designs, builds, and maintains scalable batch and streaming data pipelines, ETL/ELT workflows, data models, and Python transformations. Writes optimized SQL, monitors pipeline reliability, troubleshoots failures, implements data-quality validation, and supports security and governance practices. Collaborates with engineers, analysts, stakeholders, and clients to define data contracts, improve platforms, document lineage, and deliver reliable analytics data.

Own the technical direction, architecture, and delivery of an LLM-powered chatbot. Lead agent workflows, tool integrations, memory strategies, prompt engineering, evaluation, reliability, scalability, and cost optimization. Mentor engineers, coordinate complex initiatives, collaborate with product stakeholders, and translate ambiguous business needs into effective AI solutions while exploring emerging AI techniques.

Participate in a practical internship developing web, mobile, and digital applications. Build software development skills, apply programming logic to solve business problems, learn software architecture concepts, and collaborate in agile environments alongside experienced professionals on real-world projects.

Participate in an internship focused on database modeling and optimization, data analysis and consolidation, data quality, and data support. Work alongside experienced professionals on real-world projects while developing technical and professional skills. The program requires prior knowledge of data concepts, spreadsheets, databases, programming logic, and analytical problem-solving.