Remote Software engineering Jobs · Docker

• Build and optimize machine learning models analyzing security data, extracting actionable insights, and identifying trends.
• Deploy and maintain containerized workloads supporting machine learning development, deployment, and monitoring.
• Collaborate with cross-functional teams to design data pipelines efficiently processing petabytes of raw internet security data.

• Develop and maintain high-throughput, fault-tolerant microservices written in Go.
• Create and optimise RESTful and gRPC APIs, ensuring scalability and performance.
• Collaborate with DevOps to containerize applications using Docker and deploy to Kubernetes clusters on AWS.

• Lead the design and implementation of enterprise cloud and AI strategies.
• Define scalable, secure, and cost-effective solutions.
• Influence enterprise-wide cloud adoption and optimize AI/ML deployment.

• Lead the design, architecture, and implementation of complex systems microservices in Golang.
• Drive continuous improvement in system performance, security, and reliability.
• Engage in technical discussions with executives and stakeholders, presenting solutions and trade-offs clearly and confidently.

• Lead the integration of Generative AI technologies into production software systems.
• Design scalable, high-performance systems that enhance core products and improve user experiences.
• Collaborate with product managers, data scientists, and engineers to solve complex challenges and optimize workflows.

• Optimize Linux and Ubuntu for new silicon architectures.
• Develop, maintain, and debug software across various hardware platforms.
• Contribute to graphics, audio, multimedia, virtualization, and containerization stacks.

The Senior Software Engineer will play a critical role in developing and enhancing scalable backend solutions for a suite of digital media products. This position involves working closely with product managers, designers, and engineering teams to implement innovative features. The role provides the opportunity to mentor junior engineers, participate in code reviews, and contribute to the evolution of backend architecture.

Design high-performance, distributed, low-latency systems. Architect, create, and deliver new features and functionality. Analyse and improve efficiency, scalability, and stability of servers and processes.

Design and develop scalable back-end services using Python and FastAPI. Understand infrastructure managed with Kubernetes, Docker, and Terraform. Work closely with product managers, designers, and other engineers to define technical requirements and translate them into robust software solutions.

• Research and develop computer vision and deep learning models.
• Build and maintain training and inference pipelines using frameworks like PyTorch or TensorFlow.
• Evaluate model performance using real-world data and optimize for accuracy, speed, and scalability.