Top Remote Senior DevOps Jobs

The Senior DevOps Engineer will automate provisioning environments, manage and implement infrastructure as code solutions, deliver scalable AWS solutions, deploy and administer Kubernetes, and administer build environments. This role entails continuous improvement and requires in-depth knowledge of various technologies along with strong organizational and interpersonal skills.

The Senior QA Engineer is responsible for developing and executing manual test plans, performing functional and regression testing, identifying bugs, collaborating with stakeholders, setting up test environments, designing test automation frameworks, mentoring junior team members, and improving testing processes.

As a Senior Software Engineer on the Business Universe team, you will build and deploy software that enhances Pilot's bookkeeping service, collaborate with cross-functional teams, mentor peers, and maintain high-quality code. You will handle both backend and frontend technologies while ensuring the software supports real-time financial data analysis.

Design and build robust infrastructure to handle evolving industry regulations, work on improvements for homeowner experience through new features, and leverage tech stack to develop flexible backend architecture.

The Protocol / Blockchain Software Engineer will develop and optimize the Sei blockchain core, manage state, and enhance the REST API. Responsibilities include driving product improvements and collaborating closely with frontend teams while owning the engineering processes.

As a Senior Software Engineer focused on full-stack development, you will build and maintain patient-facing applications and backend systems, integrating AI and clinical data infrastructure while collaborating with product managers and designers to enhance user experience.

The Chiplet SOC Architect will lead the architectural definition of key components for chiplet designs, clarifying features and specifications while overseeing chiplet specs across generations. This role emphasizes the integration of a high-performance RISC-V CPU and AI accelerators into system architecture, requiring collaboration and problem-solving with a focus on design goals.