Take ownership of Aztec’s custom CI system and internal build tools. Enhance and build CI dashboards to improve observability of engineering workflows. Harden CI infrastructure using least privilege principles and robust sandboxing. Implement productivity enhancements across C++, Rust, Solidity, and TypeScript build systems. Investigate and resolve low-level bugs related to Linux processes, signals, memory, and IPC.
Train large-language models (LLMs) to write production-grade infrastructure and DevOps code. Help teach AI how to write, debug, and optimize infrastructure code like a top-tier DevOps engineer. Compare and rank Terraform or IaC code snippets, explaining which is more reliable, efficient, or scalable. Refactor or repair AI-generated infrastructure setups for correctness, security, and clarity.
The company is looking for a Senior Machine Learning Ops Engineer to help build the systems behind smart automation at airSlate. They use AWS SageMaker to build and deploy traditional AI models, while also developing novel applications powered by large language models. The role involves being a driver for ML service development, reviewing architecture, creating MLOps practice, and consulting teams.
Assist in Observability Implementation: Support the development and maintenance of monitoring, logging, and tracing solutions. Monitor & Manage Observability Tools: Help deploy and manage observability platforms. Support Distributed Tracing & Telemetry: Work with OpenTelemetry to collect and export telemetry data for better system insights and debugging. Optimize Logging & Metrics Collection: Assist in implementing structured logging and improving system performance monitoring.
We are seeking an experienced Cloud Engineering Architect to design, build, and manage cloud solutions that align with business needs and industry best practices. The ideal candidate will have a deep understanding of AWS architecture, infrastructure automation, and cloud strategy development, ensuring high-performance, scalable, and secure cloud environments. This role requires strong technical expertise, problem-solving skills, and the ability to collaborate with cross-functional teams.
As a Site Reliability Engineer, you will be responsible for driving the effort to identify, design, and develop the best technical and field solutions to automate our production systems. This position will collaborate often with various internal and external business and engineering teams. You will also have an opportunity to eventually lead efforts to champion and instill a culture of Site Reliability Engineering at Skyflow.
As an AI Solution Architect at Gcore, you will serve as a trusted advisor to our AI-focused customers. You'll collaborate closely with clients to design and deploy large-scale GPU clusters, containerized training pipelines, and production inference systems. Your expertise in automation, infrastructure as code, and orchestration will ensure seamless, repeatable deployments across hundreds to thousands of GPUs
We are looking for a Site Reliability Engineer to join our growing global team at Sectigo, who will design and implement solutions to reduce toil and ensure reliability of our critical services. The core functions include ensuring the reliability of our critical products and services by meeting or exceeding SRE objectives, building and maintaining proper monitoring of our services, and automating deployments.
Looking for an Engineer to join our DevOps team in Argentina to improve the production infrastructure and build the next-level build process, automation methodologies, and tools while working closely with the R&D team. Candidates must be self-motivated individuals who love supporting a passionate and collaborative team, solving problems, coming up with creative solutions, and continually improving company processes and culture.
As a Senior Cloud Platform Engineer, you'll be deep in Prolific's technical foundation, ensuring our infrastructure remains scalable, reliable, and ready for growth. You'll implement automation strategies that reduce complexity, champion best practices, and serve as a trusted technical expert to teams across Prolific.