Top Senior Level DevOps Jobs

As a Senior Full Stack Engineer at Checkbook, you will develop and architect web applications, build and ship APIs, ensure application security, and optimize database schemas and queries. You will also implement automation tools and stay current with industry trends.

As a Senior Software Engineer at Rockbot, you'll develop and maintain scalable software components, optimize performance, collaborate with cross-functional teams, and mentor junior engineers. You will make impactful decisions on product and code architecture while ensuring successful product delivery.

The Senior Engineer, Vessel Design will lead engineering design for vessels in medium to large Generation IV Nuclear Power Plant projects. Responsibilities include developing design rules, ensuring compliance with ASME standards, leading technical representation on code compliance, interfacing with stakeholders, and mentoring junior engineers.

The Senior Product Engineer will lead AI and machine learning product initiatives at Rhombus, guiding technical teams throughout development phases. Responsibilities include collaborating with cross-functional teams, providing mentorship, and ensuring the timely delivery of AI solutions while maintaining product quality. The role requires expertise in cloud technologies, deep learning, and large-scale model deployments, with a focus on enhancing digital resilience tools for defense and security clients.

As a Senior Full Stack Engineer at Betterment, you will lead initiatives in developing applications that enhance customer experiences in financial wellness. You will collaborate with mobile, product, and design teams, maintain high software standards, and mentor less experienced engineers.

The ML Engineer - Inference at Symbl.ai will develop and optimize deep learning models for real-time communication applications, focusing on the Nebula language model. Responsibilities include designing algorithms, integrating models into production, optimizing for various environments, and evaluating model performance, all while collaborating with cross-functional teams.

Develop and optimize AI solutions, particularly in chatbot functionality and performance. Integrate internal APIs and maintain data processing pipelines in a dynamic environment.