Top Remote Senior Level Hardware Engineer Jobs in Portland, OR

As a Senior Backend Engineer on the Audience team at VideoAmp, you will build APIs for media planning in advertising campaigns, collaborate with teams to ensure data accuracy, and implement reliable data pipelines. You'll primarily use Go and Python to develop RESTful APIs and work with cloud technologies like AWS and Kubernetes.

The Senior Driving Behaviors Systems Engineer II will define requirements and conduct analysis of autonomous vehicle behaviors to validate safe and comfortable operations. They will use systems engineering principles to drive decision making, facilitate data-driven design, and communicate findings to guide system improvements.

The Data Services Solution Architect at Brightree will drive technical solutions to address business challenges, collaborate with stakeholders, and ensure the alignment of technology with business goals. Responsibilities include providing architecture expertise, creating prototypes, communicating with key accounts, and mentoring the Data Services team.

As a Senior Data Engineer / Architect at Flip, you will develop data strategies, build and scale data systems, support data science initiatives, and optimize system performance. You'll drive digital transformation and work collaboratively across teams to implement innovative data solutions.

The upcoming role involves designing and implementing integration solutions using MuleSoft. Candidates should possess strong API design skills, extensive experience in MuleSoft development, and demonstrate the ability to lead consulting services. Collaboration and continuous learning are also emphasized.

Join the Site Reliability Team focusing on reliability and security for a leading sports betting platform. Responsibilities include improving infrastructure, handling deployments and monitoring, and ensuring system availability. The role involves collaboration with DevOps/SRE teams, mentoring, and liaising with security agencies.

The Senior Solutions Engineer will collaborate with strategic account teams to design and optimize technical solutions for clients, primarily in machine learning for fraud and logistics problems. Responsibilities include pre-sales technical support, developing custom scripts, analyzing datasets, leading demonstrations, and ensuring seamless integration of solutions with client needs.