Senior Java Developer

JOB DESCRIPTION

Optimize application performance and ensure scalability to handle current system
Proactively identify and resolve technical issues, contributing to the team's overall success
Measuring impact for quality improvement and implementation of service improvement measures

JOB REQUIREMENT

Minimum of 5 years of hands-on experience in Java, Scala, Go, C#, or similar
Proficient in system architecture and software development practices. Experience in large scale, micro service architectureis a plus
Familiarity with IaC practices, including Helm and Kubernetes
Excellent problem-solving and analytical skills with the ability to work across the entire stack
Willingness to participate in a technical interview process conducted offline

WHAT'S ON OFFER

Great salary package including 13th salary and added performance bonus.
Project bonus (From 0.5 to 3 months salary).
Working hours: From Monday to Friday, in addition to 12 annual leave days and 11 public holidays.
Salary will be reviewed based on performance in a timely manner and may be requested.
Team building, company trip, etc.
Employee insurance as prescribed by law.
Opportunity to improve your English through exposure to international customers and our products.
Personal development courses, including technical and non-technical programs, are offered.
Opportunity to gain hands-on experience in advanced technologies.
Free snacks, coffee, tea, cakes, ect...

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Outsource

Technical Skills:

Java, Backend, Data Engineering

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Salary:

Negotiation

Job ID:

J01467

Status:

Close

Related Job:

Senior Signal Processing Engineer

Others - Viet Nam


Outsource

  • Python

Design and improve rPPG/TOI pipelines using RGB/IR video with motion/illumination compensation. Implement multi-stage preprocessing, denoising, and quality scoring. Examples: adaptive filtering, ICA/PCA variants, color-space transforms, skin ROI stabilization, signal confidence metrics. o Build cross-device normalization strategies and error-bounded estimators. Define biomarker-level acceptance criteria and failure modes for consumer-grade capture. Partner with iOS and ML teams to integrate algorithms into on-device or hybrid pipelines. Produce technical documentation suitable for regulatory-risk positioning and Apple review support. Benchmark report across device models, skin tones, lighting, and motion conditions. Biomarker feature specification sheet with recommended thresholds and confidence bands. A/B results showing improvements in stability, missingness, and downstream inference performance.

Negotiation

View details

Senior Mobile App Development Engineer

Others - Viet Nam


Outsource

  • iOS

Develop and enhance capture flows using TrueDepth, ARKit, AVFoundation, and CoreMotion. Convert algorithm requirements into reliable on-device data collection and frame synchronization. Create user-friendly quality control interface and capture-state instrumentation, including tasks such as lighting checks, face alignment, motion thresholds, occlusion detection, and retake prompts. Improve latency, thermal behavior, and battery usage for 10-second diagnostic-style capture. Ensure data privacy and compliance with privacy regulations in telemetry. Create technical documentation for the use of specific APIs and data handling for Apple's internal use. Build a modular capture SDK layer with feature flags and logging capabilities. Develop a cross-device performance matrix and tuning guide. Integrate deterministic quality control gates to minimize noisy biomarker outputs in the capture process.

Negotiation

View details

Senior Data Analyst, Anti-spoofing Operation

Ho Chi Minh - Viet Nam


Product

  • Data Analyst

Lead and develop analytical initiatives to address fraud detection challenges, from problem definition through implementation, monitoring, and continuous optimization. Spearhead strategic efforts to combat emerging fraud patterns and develop innovative detection approaches through data analysis, testing, and impact measurement. Design and implement production-grade data pipelines, automated workflows, and advanced analytical frameworks using statistical methods, machine learning, and geospatial analysis. Conduct in-depth analyses of complex fraud operations and develop behavioral analytics systems. Translate technical findings into actionable recommendations for leadership, product teams, and engineering. Lead compliance analytics initiatives and define evaluation metrics for new features. Provide technical guidance and mentorship, establish best practices, and contribute to hiring top talent in analytics.

Negotiation

View details