Senior System Engineer

JOB DESCRIPTION

Job Purpose/Role
Provide System Administration and BAU support on Cloud, Virtualization, OS and backup, which focus on below areas.
Supporting day-to-day operation. Incidents, Changes, Service request
Supporting project to install new VM, servers and tools.
Root cause analysis and proactively prevent problems
Create custom scripts to automate support processes where applicable
Key responsibilities/What you do
Supporting incidents, changes and service requests in Cloud, Virtualization, OS, backup tools
Provide 24x7 on-call support in case of incident
Perform server patching and hardening
Perform root cause analysis
Proactively work to prevent incidents
Create custom scripts to automate support processes where applicable
Log incident tickets and escalate to related person (In case, critical incident) for ensure issues are resolved following SLA agreement with business
Backup and Restore management include configuration, test and execute when require any restore task
Configure Disaster recovery following design and test DR by yearly basis to ensure DR plan work properly
Prepare reports related to server and backup management
Develop related technical documentations
Provisioning new resources and configure VM, Operating System and infrastructure tools
Attend meeting related topics with internal team and client
Follow AZT and client working policy

JOB REQUIREMENT

Bachelor’s degree or Master’s degree in computer engineering, computer science or related field
3+ years experiences in System Administration
Working Knowledge of Virtualization, Windows, Linux, backup software and Cloud
Working knowledge of ITIL is a plus 
Ability to develop automation scripts
Experience working with security standards
Effective analytical, problem solving and investigative skills
High learning agility to keep up with ever changing business needs
Demonstrable high level of intellectual curiosity, external perspective and innovation interest
Good communication skills, including the ability to articulate technical topics to a non-technical audience
Possess a “Can Do” attitude, with a view to moving the business forward.
Demonstrated skill and passion for operational excellence and solution delivery
Strong learning agility when it comes to technology
Strong self-management and ability to work in ambiguity
Strong customer orientation
Focus on shared learning and best practices, team player 

WHAT'S ON OFFER

We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad
We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location)
From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered
Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career and help our people return from career breaks with experience that nothing else can teach

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:

Fintech

Technical Skills:

System

Location:

Others - Thailand

Working Policy:

Salary:

70K – 80K THB

Job ID:

J01243

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