Top Tech Jobs & Startup Jobs in Portland, ME

As a Senior Product Designer at Remote, you will take ownership of design for a development team, working with a cross-discipline team to create effective and user-centered designs. You'll contribute to a growing design community, showcasing your expertise through an impressive portfolio and collaborative skills.

As a Senior Software Engineer, you will develop and evolve Elastic's Cloud offerings, focusing on technical design, coding, debugging, and prioritizing features and bug fixes. You will also lead back-end development processes, collaborate with teams, and mentor new engineers.

Join the Elasticsearch Search team to develop and enhance vector search features in Elasticsearch. The role involves designing, implementing, and fixing bugs related to vector similarity search, collaborating with a global team, and contributing to the codebase primarily written in Java.

As a Software Engineer II in Platform Engineering Productivity, you'll build integrations and automation tools to improve software delivery. You will focus on reducing toil in the software development lifecycle, supporting internal engineering customers, and enhancing development workflows and environments. Your work will involve using various tools and technologies associated with cloud services and CI/CD pipelines.

As a Senior Software Engineer in the Ads team, you'll design, build, and maintain innovative advertising products, collaborate across engineering teams, and own projects from inception to launch while ensuring a high product quality and implementing best practices.

As a Senior Software Engineer for the Experimentation Platform, you will design and build Discord's next generation experimentation platform, collaborate with various stakeholders, and influence product telemetry practices. The role involves tackling complex challenges in a rapidly scaling environment, focusing on A/B testing and large-scale distributed systems.

The Senior Data Engineer at Discord will create and maintain data pipelines, design database architectures, ensure data quality, and develop scalable dashboards. Collaborating with data science and engineering teams is essential to improve data coverage and support decision-making processes.