Lead Engineer/ Engineer, MLOps / SRE (Developer Experience), xCloud

Home Team Science and Technology Agency (HTX); Singapore; On-site; SGD 120,000 - 170,000; Full time

Job summary

HTX, Singapore's science and technology agency for homeland security, seeks an experienced MLOps/SRE Engineer to deploy and operate a production LLM system within a secure infrastructure. You will own end-to-end responsibilities from model inference to vector databases, observability, and cost control.

The role requires 4+ years in MLOps/SRE/DevOps, hands-on production LLM experience, strong Kubernetes skills, and a proactive mindset for reliability and security.

Qualifications

• 4+ years in MLOps, SRE, or DevOps roles.
• Hands-on with deploying and operating LLMs in production.
• Strong Kubernetes expertise including operators, StatefulSets, and GPU scheduling.

Responsibilities

• Deploy and manage LLM models on GPU infrastructure using vLLM/TensorRT-LLM.
• Provision and maintain infrastructure including vector databases and orchestration services.
• Profile and optimize LLM inference performance and batching strategies.
• Implement monitoring with Prometheus, Grafana, DCGM exporters, and Elastic Stack.
• Establish SLOs/SLIs, auto-scaling policies, and incident recovery mechanisms.
• Cost optimization to reduce token usage and compute spend.
• Ensure security, manage secrets, and maintain audit logs in regulated environments.
• Participate in on-call rotation and incident analysis.
• Capacity planning to scale platform with adoption.

Skills

MLOps

SRE

DevOps

Kubernetes

GPU scheduling

Python

Bash

Terraform

Helm

Kustomize

Milvus

Weaviate

Qdrant

Pinecone

Kubeflow

MLflow

Prometheus

Grafana

Tools

Terraform

Helm

Kustomize

Kubeflow

MLflow

Milvus

Weaviate

Qdrant

Pinecone

Docker

DCGM

Kong Gateway

Job description

What the role is:

HTX is Singapore's Science and Technology agency that brings together diverse scientific and engineering capabilities to develop transformative, operationally ready solutions for public safety. As a statutory board under the Ministry of Home Affairs, HTX works at the forefront of science and technology to empower the Home Team with cutting-edge capabilities. Guided by our mission to amplify, augment and accelerate the Home Team's advantage, we are committed to keeping Singapore the safest place on planet earth.

xCloud is dedicated to elevating the enterprise experience through cutting-edge cloud capabilities, including:

• Sustainable enterprise data centres
• Hybrid cloud platforms
• Advanced cloud security measures
• Integrated Development, Security, and Operations (DevSecOps)
• Innovative enterprise Software-as-a-Service (SaaS) solutions
• AI-powered enterprise applications

As the MLOps/SRE Engineer for HTX's developer experience squad, you will be responsible for deploying, operating, and optimizing a production LLM system in our secure infrastructure. You will ensure the agentic code assistant is reliable, performant, and cost-effective, managing the full stack from LLM inference to vector databases, orchestration services, and observability. This role combines deep MLOps expertise with SRE discipline to support Home Team's critical AI infrastructure.

What you will be working on:

• LLM Deployment: Deploy and manage LLM models using vLLM/TensorRT-LLM on our GPU infrastructure, optimizing for throughput, latency, and GPU utilization
• Infrastructure Management: Provision and maintain the supporting infrastructure including vector databases (for RAG), orchestration services, Redis/queue systems, and API gateways
• Performance Optimization: Profile and tune LLM inference performance, experiment with batching strategies, context caching, and quantization techniques to maximize throughput within GPU constraints
• Observability: Implement comprehensive monitoring using Prometheus, Grafana, DCGM exporters, and Elastic Stack to track inference latency, token throughput, cache hit rates, and system health
• Reliability Engineering: Establish SLOs/SLIs, implement auto-scaling policies, design failure recovery mechanisms, and conduct chaos engineering to ensure high uptime
• Cost Optimization: Monitor GPU utilization and inference costs, identify optimization opportunities, and implement strategies to reduce token usage and compute spend
• Security & Compliance: Ensure all components operate within secure network boundaries, manage secrets and credentials securely, and maintain audit logs for compliance
• Incident Response: Participate in on-call rotation, troubleshoot production incidents, conduct root cause analysis, and implement preventive measures
• Capacity Planning: Model future load, forecast GPU requirements, and work with infrastructure teams to scale the platform as adoption grows

What we are looking for:

• 4+ years of experience in MLOps, SRE, or DevOps roles, with at least 1 year working with ML/AI systems
• Hands-on experience deploying and operating LLMs in production (vLLM, TGI, TensorRT-LLM, or similar)
• Strong Kubernetes expertise including operators, StatefulSets, and GPU scheduling
• Deep understanding of GPU architecture, and inference optimization techniques
• Experience with observability tools (Prometheus, Grafana, ELK/Elastic Stack)
• Solid Python and Bash scripting skills for automation
• Knowledge of vector databases (Milvus, Weaviate, Qdrant, or Pinecone)
• Experience with infrastructure-as-code (Terraform, Helm, Kustomize)
• Experience with NVIDIA GPUs (A100/H100/B200) and DCGM monitoring
• Understanding of LLM inference concepts: KV cache, continuous batching, PagedAttention
• Familiarity with Ray clusters, Kubeflow, or MLflow
• Background in SRE practices: SLO/SLI definition, error budgets, incident management
• Experience with secure or regulated environments
• Knowledge of LiteLLM, Kong Gateway, or API management platforms
• Systems thinking with ability to diagnose complex issues across the ML stack
• Data-driven decision making using metrics and telemetry
• Proactive mindset focused on reliability, automation, and preventive measures
• Strong debugging skills for GPU, networking, and distributed systems issues
• Clear incident communication and documentation
• Collaborative approach working with data scientists, ML engineers, and platform teams

About Home Team Science and Technology Agency (HTX)

HTX is the world's first Science and Technology agency that integrates a diverse range of scientific and engineering capabilities to innovate and deliver transformative and operationally-ready solutions for homeland security. As a statutory board of the Ministry of Home Affairs and integral to the Home Team, HTX works at the forefront of science and technology to empower Singapore's frontline of security. Our shared mission is to amplify, augment and accelerate the Home Team's advantage and secure Singapore as the safest place on planet earth.