Top Tech Jobs & Startup Jobs in Seattle, WA

Build and operate a new full-stack payment and expense management platform from architecture through production. Develop backend services, APIs, data models, web and mobile capabilities, and partner integrations. Establish secure engineering, testing, observability, and production-readiness practices. Collaborate with product, design, security, and distributed engineering teams; review code, resolve complex issues, manage technical risks, mentor engineers, and own technical outcomes through continuous improvement.

Own the technical direction and delivery of WEX’s data acquisition platform. Build reusable, high-performance batch, CDC, and streaming ingestion services with schema validation, reconciliation, recovery, lineage, security, observability, and auditability. Lead architecture and code reviews, establish testing and CI/CD practices, mentor engineers, resolve cross-team dependencies, and support production escalations. The role requires hands-on development of scalable distributed systems and configuration-driven connectors.

The Staff Software Development Engineer will design and develop web applications, lead automation testing strategies, and collaborate on user experiences, utilizing strong front-end skills and full-stack exposure.

Build and operate a new full-stack fleet payments and expense management platform. Responsibilities include architecture, backend services, APIs, web and mobile capabilities, payment workflows, partner integrations, testing, observability, security, production readiness, and continuous improvement. The role collaborates with product, design, security, and distributed engineering teams while mentoring engineers and establishing scalable development practices.

Own and scale a multi-cloud data platform across AWS and Azure. Manage Apache Airflow, Kubernetes, Terraform, Helm, ArgoCD, CI/CD, observability, big data infrastructure, governance tooling, and FinOps initiatives. Provide end-to-end architectural and operational ownership, improve developer tooling, define platform roadmaps, manage incidents, enforce engineering standards, and mentor data platform engineers.

Analyzes cloud billing and usage data, prepares recurring and ad-hoc spend reports, identifies optimization opportunities, manages reservations and budgets, investigates anomalies, administers FinOps tooling, and improves cost allocation. Partners with engineering, finance, and business stakeholders to communicate findings, track savings, maintain forecasting structures, and promote cloud financial accountability.

The role involves designing and developing high-performance web apps, improving user interfaces, maintaining component libraries, and ensuring code quality through comprehensive testing and collaboration with other teams.

Design, develop, and enhance scalable agentic software solutions in a cloud-native environment. Build backend services and RESTful APIs using Java, AWS, Kafka, Elasticsearch, and container technologies. Contribute to architecture, event-driven systems, security, reliability, code quality, troubleshooting, and operational excellence while collaborating across engineering teams.

Develop and maintain reliable platforms through automation, observability, incident response, performance optimization, and infrastructure improvements. The role collaborates with engineering teams, supports 24x7 reliability rotations, troubleshoots complex issues across code and infrastructure, and improves operational processes. Required experience includes SRE or equivalent work, software development, cloud platforms, monitoring, databases, and containerization. Preferred skills include Terraform, REST APIs, Grafana, Splunk, Agile, and GitOps.

Build and own Snowflake data models and dbt pipelines for a Customer Data Platform supporting marketing segmentation and customer journeys. Integrate complex source systems, manage data architecture and governance, conduct data discovery, and translate business rules into scalable solutions. Collaborate with engineering, analytics, product, and business stakeholders; lead technical workshops; mentor junior engineers; and implement automated data quality testing, CI/CD workflows, and AI-augmented engineering practices.