Principal Security Engineer

JOB DESCRIPTION

Partner with Product & Engineering teams to identify cyber attack risks in the system and define tactical and strategic mitigation plans
Conduct complete security lifecycle architecture and technical assessments, including but not limited to design requirements assessment, threat modelling, and risk assessment
Build and champion a standardized set of security requirements and design patterns for internal systems and product offerings.
Maintain SLA's by watching for new vulnerabilities, monitoring existing vulnerabilities, working on false-positives and detection logic changes
Actively participate in company's Software Development Lifecycle (SDLC)
Monitor current and proposed laws, regulations, industry standards and ethical requirements related to privacy and information security.
Influence security strategy and roadmap by leveraging the collective strength of the security team and articulating the capabilities needed to effectively manage the cyber-attack risk
Drive Security QBR in partnership with Product & Engineering   
Represent the company within the security community and with customers on topics related to the security of the company's products and services. 

JOB REQUIREMENT

3+ years in a senior security leadership role  
6+ years’ experience working in a security focused role in the technology or other technology heavy industry (e.g. Financial Services) 
Superb communication and interpersonal skills.
Consistent track record designing and integrating security controls in cloud-based architectures
Significant experience conducting threat modelling and risk assessments of cloud services, demonstrating clear ability to identify unique vulnerabilities
Expert level knowledge at all layers of the information security stack with hands-on security engineering experience on AWS, GCP, TFE, Azure, Kubernetes, etc.
Prior experience working with engineering teams on design and implementation of best-practices for security as code
Have the mindset of "First-Time-Right" and "Secure-By-Default"
Working knowledge of the MITRE ATT&CK, NIST CSF, and CIS Critical Control frameworks
Certified Information System Security Professional (CISSP) or Certified in Risk and Information Systems Control (CRISC) certifications preferred
BS or MS in Computer Science, Information Systems, Engineering or a related field

WHAT'S ON OFFER

Flexible working time and the ability to work remotely from wherever you are, it is a significant advantage for bank candidates.
Attractive income (base salary & performance bonus) in Viet Nam fintech markets
Full-salary paid for social insurance & Premium healthcare package
20 days of annual leave, 10 days of sick leave and public holidays.
Devices provided (Macbook, mouse, monitor…)
Frequent team bonding and company activities/ events.
Work in newly innovated office and open working space.
Improve English skills, learn more about thinking and working style. Fully adopt Agile way of working, lean team structure.
Working with many talented people with good manners from 13 various cultural backgrounds: US, UK, India, China, Spain, etc,…
Empowered to listen creative ideas, and there is no distance between bosses and employees. 

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:

Digital Bank, Product

Technical Skills:

Security

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Salary:

Negotiation

Job ID:

J01123

Status:

Close

Related Job:

Senior DevOps Engineer

Ha Noi - Viet Nam


Financial services, Crypto

  • Devops
  • AWS

#About the Role We are looking for a highly skilled Senior DevOps Engineer to join our team. You will play a key role in designing, implementing, and maintaining infrastructure solutions that ensure the stability, reliability, and scalability of our systems. The role requires a balance of strong technical expertise, problem-solving skills, and a passion for automation. You will collaborate with cross-functional teams to drive process improvements, enhance engineering productivity, and support business-critical applications. As a Senior DevOps Engineer, you will also be responsible for ensuring system security, leading operational automation efforts, and participating in a 24/7 on-call rotation to maintain uptime and business continuity. In line with our philosophy that development and operations are inseparable, you will leverage your coding expertise to intervene in application modules, develop new automation tools, and ensure seamless integration between code and infrastructure.#Key Responsibilities Develop, maintain, and manage tools to automate operational activities and improve engineering efficiency, including writing custom modules in Node.js or Golang for task management and system orchestration. Troubleshoot, diagnose, and resolve complex software and infrastructure issues, including debugging and modifying application code in Node.js and Golang environments. Update, track, and resolve technical issues in a timely manner. Recommend architectural enhancements and propose process improvements for scalability and reliability. Contribute to application development by intervening in existing modules or creating new ones to enhance system manageability, scalability, and performance Evaluate and implement new technologies, frameworks, and vendor products to support business goals. Apply best-in-class security practices to safeguard critical systems and data. Ensure stability, reliability, and performance of production and non-production environments. Collaborate with engineering, QA, and product teams to align infrastructure with development needs. Participate in a 24/7 on-call rotation to support high-availability systems.

Negotiation

View details

DevOps Engineer

Ho Chi Minh - Viet Nam


Product, Offshore

  • Devops
  • Java
  • Kubernetes

As a Mid-level DevOps Engineer, you will play a key role in building, maintaining, and automating the environments, CI/CD pipelines, and infrastructure that power the mission-critical solutions for our internal teams and external clients. Maintain and ensure the availability of development, staging, and production environments Manage access, runtime stability, and environment upgrades Design, build, and improve CI/CD pipelines using tools like Jenkins, Automate build, testing, and deployment processes Troubleshoot and resolve pipeline issues Develop and maintain automation scripts using Ansible Standardize infrastructure configurations and automate environment provisioning Configure and maintain monitoring, logging, and alerting systems (Grafana, Prometheus, Splunk) Enhance observability with proactive alerting and dashboards Respond to alerts and incidents within agreed SLAs Triage and resolve infrastructure and pipeline issues Document incidents and implement preventative measures Apply system hardening, vulnerability remediation, and patching Support audits and compliance checks Monitor system performance and resource usage Conduct tuning (e.g., JVM, database, message broker) and provide optimization recommendations

Negotiation

View details

Senior Machine Learning Engineer

Ho Chi Minh, Ha Noi - Viet Nam


Information Technology & Services

  • Machine Learning

Creating the V1 Evaluation Platform: You will be responsible for designing and building the core backend systems for our new LLM Evaluation Platform, using Arize Phoenix as the basis for traces, evaluations, and experiments. Implementing Production Observability: You will need to architect and implement the observability backbone for our AI services by integrating Phoenix with OpenTelemetry to establish a centralized system for logging, tracing, and evaluating LLM behavior in production. Standardizing LLM Deployment Pipeline: You will be in charge of designing and implementing the CI/CD framework for versioning, testing, and deploying prompt-based logic and LLM configurations, ensuring reproducible and auditable deployments across all AI features. Providing Practical Solutions: Your role will involve making pragmatic technical decisions that prioritize business value and speed of delivery, in line with our early-stage startup environment. Collaborating with Other Teams: You will work closely with the Data Science team to understand their workflow and ensure that the platform you build meets their core needs for experiment tracking and validation. Establishing Core Patterns: You will also help in establishing and documenting the initial technical patterns for MLOps and model evaluation that will serve as the foundation for future development.

Negotiation

View details