Senior Software Engineer, Platform

FIRMUS METAL INTERNATIONAL PTE. LTD.; Singapore; On-site; SGD 80,000 - 110,000; Full time

Job summary

A technology company in Singapore is seeking a Senior Software Engineer focusing on Platform Engineering to enhance observability capabilities and improve productivity. The ideal candidate has over 7 years of experience, including a strong proficiency in modern application development frameworks and observability stacks. The role offers a dynamic environment for tackling complex problems and driving innovative solutions.

Qualifications

• 7+ years of experience as Software Engineer, with a minimum of 3 years in a dedicated Platform/Observability engineering focus role.
• Experience with AI-augmented development tools and workflows.
• Working knowledge on configuration management and CI/CD.

Responsibilities

• Drive and collaborate with AI/ML engineers to develop application-level monitoring.
• Develop Prometheus exporters for monitoring.
• Build and enhance internal tooling to improve productivity.
• Improve automated test coverage using new frameworks.
• Own net-new product experiments from concept to deployment.
• Contribute to the adoption of AI-augmented workflows.

Skills

Modern application development frameworks (Go, Python, Node.js)

Observability stack (e.g., Loki, Grafana, Tempo, Prometheus)

Cloud platforms (AWS, Azure, GCP)

Containerization technologies (Docker)

Automated testing frameworks (Pytest, JUnit, K6)

AI-augmented development tools and workflows

Data streaming (Kafka, Pulsar)

SQL, PromQL, LogQL, GraphQL

Configuration management and CI/CD (Ansible, GitHub Actions)

Clear English communication

Kafka

Effective English communication

Education

Bachelor's degree in computer science or related field

Tools

AWS

Azure

GCP

Loki

Grafana

Tempo

Prometheus

Thanos

ClickHouse

Ansible

GitHub Actions

Jenkins

ArgoCD

Job description

ROLE SUMMARY

Firmus Technologies is seeking a Senior Software Engineer focussing on Platform Engineering to join our Engineering and Technology team. You will drive the enhancement of our observability capabilities to achieve ClusterMAX Platinum tier recognition from SemiAnalysis. You will also enhance internal tooling to improve developer and operations productivity. This role is ideal for a self-starter with passion for building things from first principles. You naturally break down complex problems into their fundamental truths to uncover novel and elegant solutions—rather than relying on conventional patterns.

KEY RESPONSIBILITIES

• Drive and collaborate with AI/ML engineers to develop and integrate AI/ML application-level monitoring from the ground up, including model accuracy tracking and performance observability.
• Develop purpose-built Prometheus exporters to provide necessary granularity for robust low-level components and interconnect fabric monitoring.
• Build and enhance internal tooling to automate workflows, improve developer and operations productivity, and streamline platform operations (e.g., dashboards, CLI tools, automation scripts, self-service portals).
• Continuously improve automated test coverage and effectiveness by adopting new testing frameworks, tools, and best practices.
• Own net-new product experiments (e.g., VR with Meta Quest), driving innovation from concept to production deployment and mass adoption.
• Contribute to the adoption and integration of AI-augmented development tools and workflows.

SKILLS AND EXPERIENCE

• Bachelor's degree in computer science or a related technical field.
• 7+ years of experience as Software Engineer, with a minimum of 3 years in a dedicated Platform/Observability engineering focus role.
• Demonstrated strong proficiency: Modern application development frameworks and languages (e.g., Go, Python, Node.js).
• Demonstrated strong proficiency: Advanced querying and optimization using SQL, PromQL, LogQL, GraphQL.
• Demonstrated strong proficiency: Observability stack (e.g., Loki, Grafana, Tempo, Prometheus, Thanos, ClickHouse).
• Demonstrated strong proficiency: Data streaming (e.g., Kafka, Pulsar).
• Demonstrated strong proficiency: Automated unit, integration, security, load and end-to-end testing frameworks (e.g., Pytest, JUnit, K6, Go test, Cypress) and integrating tests into CI/CD pipelines.
• Demonstrated strong proficiency: Cloud platforms (e.g., AWS, Azure, or GCP).
• Demonstrated strong proficiency: Containerization technologies (e.g., Docker).
• Experience with AI-augmented development tools and workflows.
• Working knowledge on configuration management and CI/CD (e.g., Ansible, GitHub Actions, Jenkins, ArgoCD)
• Clear and effective English communication, written and spoken.
• Bonus Points:
• Familiarity with Linux internals, networking stacks, distributed storage and high-performance computing.
• Experience in high-growth startups or regulated industries with robust security and data privacy requirements, including SOC 2 Type 2 and ISO 27001.

KEY COMPETENCIES

• Strong systems thinking with a proven ability to solve complex problems.
• Deep expertise in observability and platform engineering.
• High sense of ownership and ability to execute autonomously.
• Effective cross-functional communication and collaboration.
• Commitment to quality, reliability, and maintainability.
• Continuous learner with a bias for innovation and first-principles thinking.

SUCCESS METRICS

• Improved observability coverage and operation insights.
• Progress toward achieving ClusterMAX Platinum criteria.
• Increased adoption and effectiveness of internal tooling.
• Higher automated test coverage and reduced regressions.
• Measurable improvements in developer and operations teams' productivity.
• Successful delivery of experimental projects and AI-augmented workflows.