Senior Back End Engineer

TRUEWATCH TECHNOLOGY INC PTE. LTD.

Singapore

On-site

SGD 120,000 - 180,000

Full time

10 days ago

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Job summary

TRUEWATCH TECHNOLOGY INC PTE. LTD. is seeking a Senior Backend Engineer to design, build and scale our observability platform's backend. You’ll develop high-performance APIs, streaming pipelines, and scalable data stores handling millions of telemetry events per second.

You’ll collaborate with product, frontend, and DevOps to deliver reliable features for mission-critical monitoring and diagnostics, while shaping microservices, CI/CD, and IaC practices in a fast-paced startup.

Qualifications

  • 5+ years of backend development experience, preferably in SaaS or high-scale data systems.
  • Proficiency in Golang (or strong experience in other systems languages with willingness to learn Go).
  • Solid experience designing APIs and working with event-driven architectures or streaming data.
  • Strong understanding of distributed systems, microservices, and cloud-native architectures.
  • Experience with observability tools, telemetry pipelines, or monitoring platforms is a big plus.

Responsibilities

  • Design and build scalable, reliable, and performant backend services for telemetry ingestion, processing, and querying.
  • Architect data pipelines for metrics, logs, and traces using modern technologies (e.g., Kafka, ClickHouse, Prometheus, OpenTelemetry).
  • Develop REST and gRPC APIs to support frontend dashboards and external integrations.
  • Contribute to the evolution of our microservices architecture, CI/CD pipelines, and infrastructure-as-code.
  • Write clean, testable, and maintainable code with an eye for performance and scalability.
  • Participate in code reviews, architecture discussions, and mentoring junior engineers.
  • Continuously monitor and improve the reliability, observability, and performance of backend systems.

Skills

Backend development
Golang
API design
Distributed systems
Cloud-native
Mentoring

Tools

Kafka
ClickHouse
PostgreSQL
Redis
TimescaleDB
Elasticsearch
Kubernetes
Docker
Terraform
AWS
GCP
Prometheus
OpenTelemetry

Job description

The Role

As a Senior Backend Engineer,you’ll be a key contributor to the design, development, and scaling of ourobservability platform backend. You’ll work on building high-performance APIs,streaming pipelines, and scalable data stores that ingest, process, and servemillions of telemetry events per second.

You’ll collaborate closely with product managers, frontend engineers,and DevOps to deliver features that power mission-critical monitoring anddiagnostics tools.

Key Responsibilities
  • Design and build scalable, reliable, and performant backend servicesfor telemetry ingestion, processing, and querying.
  • Architect data pipelines for metrics, logs, and traces using moderntechnologies (e.g., Kafka, ClickHouse, Prometheus, OpenTelemetry).
  • Develop REST and gRPC APIs to support frontend dashboards andexternal integrations.
  • Contribute to the evolution of our microservices architecture, CI/CDpipelines, and infrastructure-as-code.
  • Write clean, testable, and maintainable code with an eye forperformance and scalability.
  • Participate in code reviews, architecture discussions, and mentoringjunior engineers.
  • Continuously monitor and improve the reliability, observability, andperformance of backend systems.
Tech Stack You Might Work With
  • Languages: Go (Golang), Python,Rust (nice to have), TypeScript (for tooling)
  • Data: ClickHouse, PostgreSQL,Redis, Kafka, TimescaleDB, Elasticsearch
  • Infra: Kubernetes, Docker,Terraform, AWS/GCP
  • Protocols: gRPC, REST,OpenTelemetry, OTLP, Prometheus Remote Write
  • CI/CD: GitHub Actions, ArgoCD,Helm
What We’re Looking For
  • 5+ years of backend development experience, preferably in SaaS orhigh-scale data systems.
  • Proficiency in Golang (orstrong experience in other systems languages with a willingness to learn Go).
  • Solid experience designing APIs and working with event-drivenarchitectures or streaming data.
  • Strong understanding of distributed systems, microservices, andcloud-native architectures.
  • Experience with observability tools, telemetry pipelines, or monitoring platforms is a big plus.
  • Comfort working in a fast-paced, startup environment with a DevOps mindset and ownership-driven culture.
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