DevOps Engineer
autonomai recruitment · Singapore ·
- Category
- Devops
aiautomationdevopsdistributed-systemshpckuberneteslinuxmachine-learningnetworkingobservabilitypythonroot-cause-analysis
DevOps Engineer
Skills:
Deep Linux, Scripting - Python, DevOps, Kubernetes Salary:
$400k Plus SGD Location:
Singapore
The ideal candidate comes from a top-tier tech environment (FAANG, elite trading, hyperscale infra). They have experience building technology
01
, owning systems end-to-end, and working close to the metal. They will operate across everything from
bare-metal Linux
to
modern build and observability stacks
.
Overview Join a core engineering group as an DevOps Engineer, deploying and scaling Linux platforms that underpin ML/AI-driven trading. You will own reliability for massive simulation, HPC, and production workloads—ensuring ultra-reliable, ultra-fast trading systems. This is a hands-on, leadership role focused equally on technical depth, strategic decision-making, and driving platform SRE excellence.
Key Responsibilities Lead SRE/DevOps practices for Linux platforms powering low-latency, high-throughput trading workloads. Optimize, and tune Linux for performance, resilience, and minimal latency. Drive incident response, root cause analysis, and continuous reliability improvement across production systems. Oversee system automation and reproducibility—build, deploy, and fleet-manage bare-metal Linux and containerized stacks. Manage and enhance Kubernetes clusters, network configuration, and large-scale orchestration. Set observability standards; expand monitoring, alerting, and performance metrics across platforms. Analyze networking, kernel-level performance, and distributed systems—solving core challenges in a multi-petabyte, multi-cluster environment. Build Python tools for automation, reliability engineering, and performance analysis. Design highly distributed systems
What You Will Work On Ultra-reliable, high-performance trading infrastructure where every engineering optimization affects performance Next-generation simulation and HPC compute pipelines, supporting ML/AI workflows at scale. Integration and continuous improvement of internal and open-source tools for automation and reliability. Strategic platform direction: shaping foundational systems for critical infrastructure in an elite trading environment.
Team and Culture Small, autonomous DevOps/SRE team with direct ownership and impact. Collaborative engagement with quants, researchers, and trading experts to deliver robust platforms. A culture built on deep technical ownership, learning, and high standards of performance engineering
Apply now for an informal confidential chat!
Skills:
Deep Linux, Scripting - Python, DevOps, Kubernetes Salary:
$400k Plus SGD Location:
Singapore
The ideal candidate comes from a top-tier tech environment (FAANG, elite trading, hyperscale infra). They have experience building technology
01
, owning systems end-to-end, and working close to the metal. They will operate across everything from
bare-metal Linux
to
modern build and observability stacks
.
Overview Join a core engineering group as an DevOps Engineer, deploying and scaling Linux platforms that underpin ML/AI-driven trading. You will own reliability for massive simulation, HPC, and production workloads—ensuring ultra-reliable, ultra-fast trading systems. This is a hands-on, leadership role focused equally on technical depth, strategic decision-making, and driving platform SRE excellence.
Key Responsibilities Lead SRE/DevOps practices for Linux platforms powering low-latency, high-throughput trading workloads. Optimize, and tune Linux for performance, resilience, and minimal latency. Drive incident response, root cause analysis, and continuous reliability improvement across production systems. Oversee system automation and reproducibility—build, deploy, and fleet-manage bare-metal Linux and containerized stacks. Manage and enhance Kubernetes clusters, network configuration, and large-scale orchestration. Set observability standards; expand monitoring, alerting, and performance metrics across platforms. Analyze networking, kernel-level performance, and distributed systems—solving core challenges in a multi-petabyte, multi-cluster environment. Build Python tools for automation, reliability engineering, and performance analysis. Design highly distributed systems
What You Will Work On Ultra-reliable, high-performance trading infrastructure where every engineering optimization affects performance Next-generation simulation and HPC compute pipelines, supporting ML/AI workflows at scale. Integration and continuous improvement of internal and open-source tools for automation and reliability. Strategic platform direction: shaping foundational systems for critical infrastructure in an elite trading environment.
Team and Culture Small, autonomous DevOps/SRE team with direct ownership and impact. Collaborative engagement with quants, researchers, and trading experts to deliver robust platforms. A culture built on deep technical ownership, learning, and high standards of performance engineering
Apply now for an informal confidential chat!