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8,314

Security jobs in United States

Software Engineer (Tech Lead)

TOKENINSIGHT SG PTE. LTD.

Singapore
On-site
SGD 80,000 - 120,000
29 days ago
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Customer Project Manager

Bombardier

Singapore
On-site
SGD 70,000 - 90,000
29 days ago

MARINE OPERATIONS MANAGER (LPG)

STR Group Limited

Singapore
On-site
SGD 60,000 - 80,000
29 days ago

Student Assessment Officer | 5 Days - Up to $3.5k (0580)

THE SUPREME HR ADVISORY PTE. LTD.

Singapore
On-site
SGD 20,000 - 60,000
29 days ago

Binance Accelerator Program - Binance Academy Editor

Binance

Singapore
Remote
SGD 20,000 - 60,000
29 days ago
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Blast Protection Engineer - Consultant (Singapore)

Remote Jobs Asia

Singapore
On-site
SGD 60,000 - 80,000
29 days ago

Finance Executive: AR/AP/GL Lead & Month-End

BCW Group

Singapore
On-site
SGD 45,000 - 60,000
29 days ago

System Integrator - Middleware & Security Integration

HR Tech

Singapore
On-site
SGD 75,000 - 95,000
29 days ago
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Senior Data Center Network & Security Engineer

HR Tech

Singapore
On-site
SGD 70,000 - 90,000
29 days ago

EMR Governance & Access Lead

National Healthcare Group

Singapore
On-site
SGD 80,000 - 120,000
29 days ago

Ophthalmology Platform Architect — Cloud & Security

Tan Tock Seng Hospital

Singapore
On-site
SGD 80,000 - 120,000
29 days ago

System Engineer | AMK | $4000-$6000 | Mon-Fri | #5252

P-SERV PTE LTD

Singapore
On-site
SGD 80,000 - 100,000
29 days ago

Sales Development Representative(ANZ market)

Cerebras

Singapore
On-site
SGD 60,000 - 80,000
30 days ago

Software Engineer

NEUTRON PTE. LTD.

Singapore
On-site
SGD 70,000 - 100,000
30 days ago

Quantity Surveyor

IPS SECUREX PTE. LTD.

Singapore
On-site
SGD 60,000 - 80,000
30 days ago

Software Engineer

COMBUILDER FMIT PTE. LTD.

Singapore
On-site
SGD 80,000 - 100,000
30 days ago

IT Engineer

Halcyon Agri Corporation Limited

Singapore
On-site
SGD 50,000 - 70,000
30 days ago

WORKPLACE SAFETY & HEALTH COORDINATOR

AIK SAN CONSTRUCTION PTE LTD

Singapore
On-site
SGD 45,000 - 65,000
30 days ago

Systems Analyst

TOSS-EX PR PTE. LTD.

Singapore
On-site
SGD 50,000 - 70,000
30 days ago

Active Directory Engineer

ANCHOR GLOBAL CONSULTING PTE. LTD.

Singapore
On-site
SGD 70,000 - 90,000
30 days ago

Technical Operations Analyst

Palo Alto Networks

Singapore
On-site
SGD 70,000 - 90,000
30 days ago

G03 - Project Manager

FPT ASIA PACIFIC PTE. LTD.

Singapore
On-site
SGD 70,000 - 100,000
30 days ago

Assistant Director - Digital Forensics & Incident Response

SYNAPXE PTE. LTD.

Singapore
On-site
SGD 100,000 - 150,000
30 days ago

Assistant Project Manager

ST ENGINEERING ADVANCED NETWORKS & SENSORS PTE. LTD.

Singapore
On-site
SGD 70,000 - 90,000
30 days ago

Manager (DMA) (Temp Contract) [POD]

Workforce Singapore

Singapore
On-site
SGD 70,000 - 90,000
30 days ago
Software Engineer (Tech Lead)
TOKENINSIGHT SG PTE. LTD.
Singapore
On-site
SGD 80,000 - 120,000
Full time
29 days ago

Job summary

A technology firm in Singapore is seeking an experienced backend developer with expertise in distributed computing and proficiency in Golang, Python, and Java. The candidate will be responsible for architecting scalable systems, optimizing performance, and enhancing engineering productivity. Ideal candidates should have 8+ years of relevant experience and be capable of solving complex engineering challenges in fast-paced environments.

Qualifications

  • 8+ years of experience in backend development or distributed computing.
  • Proficiency in Golang, Python, and Java.
  • Understanding of software development lifecycles and DevOps automation.
  • Hands-on experience with resource scheduling systems and cluster computing.

Responsibilities

  • Architect and optimize large-scale distributed computing systems.
  • Design scalable backend architectures for high-performance applications.
  • Develop internal tooling to enhance engineering productivity.
  • Review, test, and verify code for quality and performance standards.

Skills

Backend development
Distributed computing
Golang
Python
Java
DevOps automation
CI/CD pipelines
Resource scheduling
Cloud infrastructure
Machine Learning
Job description
Responsibilities
  • Architect and optimize large-scale distributed computing systems, focusing on resource scheduling, efficiency, and fault tolerance.
  • Design and build scalable backend architectures that support high-performance applications, multi-node processing, and parallel computing.
  • Develop internal tooling and infrastructure to enhance engineering productivity, CI/CD workflows, and system observability.
  • Contribute to architecture decisions, system design, coding, code reviews, and implementation to ensure high standards of quality.
  • Optimize core exchange system effectiveness, including architecture improvements, performance tuning, and stability enhancements.
  • Review, test, and verify code to ensure adherence to quality, security, and performance standards.
  • Identify and resolve system bottlenecks, bugs, and ongoing technical challenges, proactively improving system reliability.
Requirements
  • 8+ years of experience in backend development, distributed computing, or AI-driven systems.
  • Proficiency in Golang, Python, and Java, with expertise in high-performance computing, distributed architectures, and multi-node processing.
  • Deep understanding of software development lifecycles (SDLC), DevOps automation, and CI/CD pipelines.
  • Hands-on experience with resource scheduling systems, cluster computing, and workload optimization.
  • Familiarity with large-scale data processing, stream processing frameworks, and cloud infrastructure.
  • Knowledge of Machine Learning and AI is a plus.
  • Self-driven, highly analytical, and capable of solving complex engineering challenges in fast-paced environments.
  • Proficiency in Chinese is a plus (for reading of client's job specifications and documentation in Chinese).
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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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