Top Tech Jobs & Startup Jobs in Seattle, WA

The Sr. Software Developer will build and maintain Salesforce solutions, manage integrations, and support compliance while participating in Agile team activities.

Design and implement scalable Salesforce solutions, lead development teams, manage integrations, and mentor junior developers while ensuring security and compliance standards are met.

In this role, you will design and develop AI and machine learning models, maintain data pipelines, evaluate model performance, and collaborate with cross-functional teams to integrate AI capabilities into web-based applications.

Provide operational expertise for simulation systems in Air Force environments, advising on scenarios, capability needs, and transitions from legacy systems.

As a Sr. Product Manager III, you will lead product vision, manage prioritization, and coordinate across engineering while maintaining operational relevance.

The Sr. Product Manager III leads feature planning and backlog management for a modeling and simulation product team, coordinating with engineering and program leadership to ensure alignment with milestones and priorities.

As a Sr. Data Engineer III, you are responsible for designing, maintaining data schemas, building ETL pipelines, ensuring data integrity, and optimizing performance across systems, while supporting simulation engineers and Government stakeholders.

The DevSecOps Engineer designs and maintains CI/CD pipelines, manages Docker and Kubernetes environments, integrates security controls and automated testing, and ensures compliance in cloud platforms.

As a Sr. AI/ML Engineer III, you will design and implement reinforcement learning algorithms, integrate them into simulation environments, and evaluate their performance. Collaborating with engineering teams, you will ensure the maintainability and transparency of AI components while communicating results and recommendations clearly.

Support secure, mission-critical platforms in a federal environment: design and maintain CI/CD pipelines, deploy and operate containerized applications (Kubernetes) in AWS, enforce secure access controls, manage artifact repositories, and monitor platform health while collaborating with developers, data scientists, and government stakeholders.