Top Senior Level Java Developer Jobs in Portland, OR

As a Senior Specialist in Engineering for Platform Apps at VDX.tv, you will lead the design and implementation of APIs, services, and event-streaming pipelines. You'll improve code maintainability, mentor peers, and evolve CI/CD strategies while working in a remote-first team to solve complex technical projects.

As a Senior Fullstack Engineer, you will design and develop scalable services and user interfaces, collaborate with cross-functional teams, mentor peers, and enhance product features while working on complex web applications and distributed systems.

The Android Engineer will contribute to enhancing the Signal app, focusing on user privacy and code quality. Responsibilities include architecting new features, multitasking, and collaborating closely with a small team. Strong knowledge of Kotlin and Java, along with significant experience in the Android framework, is essential.

As an Engineering Manager at GiddyUp, you will lead a team of software engineers, oversee product shipping, manage deliverables, and contribute to the codebase. Your role includes collaborating with product teams, maintaining project effectiveness, and encouraging best practices while ensuring the overall health and efficiency of software delivery.

The Sr. Software Design Engineer will design and build scalable applications using Azure, implement front-end features, integrate external APIs, conduct testing, and ensure high quality and reliability of solutions. Collaborate with stakeholders and stay updated on new technologies.

The Senior ForgeRock/Java Engineer will design, develop, and implement IAM solutions utilizing the ForgeRock product suite. Responsibilities include configuring and customizing ForgeRock components, integrating solutions with various applications, and maintaining security and reliability. The role requires extensive experience in Java and IAM technologies.

As a Senior Data Engineer, you will lead the development of scalable data infrastructure and real-time systems to handle large-scale raw data. Responsibilities include building tools for data analysis, improving data quality, implementing CI/CD pipelines for data operations, and addressing data requests while collaborating closely with machine learning engineers and data scientists.