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Designs and builds AI-driven observability and automation systems for DevOps and SRE, integrating LLMs, agents, and cloud-native tools to improve incident response and system stability.
Build and maintain cloud-native infrastructure for a regulated digital-asset trading platform using Yandex Cloud, Kubernetes, Terraform, GitLab CI, and observability stacks.
Lead a team of site reliability engineers to build scalable, observable, and resilient systems for Salesforce’s AI CRM platform, using automation and AI-driven operations.
Principal engineer building Salesforce’s unified observability platform: metrics, logs, and traces with AI-first tooling, Java backends, React/LWC frontends, and OpenTelemetry/Kafka stacks.
Architect and own LSports’ GCP-based cloud platform and its agentic AI layer, designing scalable, secure systems for real-time sports data and LLM-powered automation.
About BusinessCraft For 30 years, BusinessCraft has been the software system backbone of Australia's residential construction industry. Our integrated platform runs operations, finance, and project delivery for…
About SigNoz SigNoz is an open-source observability platform helping engineering teams monitor applications using OpenTelemetry. Today, we're trusted by engineering teams across 30+ countries, have 30K+ GitHub…
About Us Automic Group is Australia’s market leader in technology-driven investor administration. Combining proprietary cloud-native technology with expert service, Automic simplifies investor administration and…
CloudOps Engineer - Evinova Location: Spain - Barcelona Time Type: Full time Job Description Role Barcelona onsite / 3 days at the office - 2 days at home As a CloudOps Engineer, you’ll play a key role in the daily…
Build and scale AI-powered SaaS backend systems using Go/Java/Node.js, cloud platforms, and modern APIs; integrate ML features and lead technical decisions for global customers.
Build and scale AI-powered backend systems in Python/AWS, integrating LLMs, retrieval, and agent workflows to serve real users and drive digital wellbeing.
Leads cloud infrastructure, CI/CD, and developer platforms in a healthcare company, designing scalable systems for reliability, automation, and security while collaborating with engineering, AI, and business teams.
Senior Site Reliability Engineer responsible for scaling and optimizing GCP infrastructure, improving observability, and driving reliability best practices like SLOs and incident management.
Build and maintain Python and TypeScript SDKs for a widely used open-source AI platform, ensuring reliability, performance, and developer experience across millions of downloads.
Build and improve AI models and infrastructure for Workday’s enterprise SaaS products, focusing on machine learning systems that power HR and finance workflows.
Architect and operate RxSense’s core cloud platform (AWS, Kubernetes, CI/CD) to let product and AI teams ship reliably and fast, while enforcing security and cost controls in a regulated healthcare environment.
Build and standardize observability pipelines for Kubernetes and Cloud Foundry, instrumenting apps with OpenTelemetry and routing data to ELK or Grafana stacks.
Build and standardize observability pipelines using OpenTelemetry, Kubernetes, and Grafana/Prometheus/ELK to unify logs, metrics, and traces for client environments.
Builds and optimizes large-scale AI infrastructure, including Kubernetes clusters, RDMA networking, and GPU orchestration to improve efficiency and scalability of AI training/inference systems.
Lead the architecture and engineering of a bank-grade AI & Agentic Platform, designing agentic runtimes, LLM gateways, identity layers, and cloud-native infrastructure to support secure, scalable agent workflows across the enterprise.
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