Senior Security Engineer

ABOUT CLIENT

Our client is a global technology company that specializes in providing innovative IT solutions for the financial services industry

JOB DESCRIPTION

Create IT security architecture, minimum controls, and countermeasures for both new and existing IT systems.
Offer guidance on integrating security principles into technical solutions and establishing reusable security architecture patterns.
Carry out risk assessments and evaluations to facilitate informed decision-making on IT security posture for stakeholders.
Establish cybersecurity standards for Azure cloud services.
Provide technical advice to IT teams to ensure adherence to best security practices.
Assist IT teams in implementing security requirements and embracing security best practices.
Contribute to proof-of-concepts on cybersecurity solutions for improved cyber resilience.
Research emerging security threats, including those concerning Azure cloud, and recommend solutions or workarounds to mitigate risks.

JOB REQUIREMENT

Bachelor's degree in Computer Science, Information Security, or a related field.
CIA triad (Confidentiality, Integrity, Availability).
Security principles: Separation of duties, least privilege, need-to-know, defense-in-depth, open design.
Authentication (AuthN) & Authorization (AuthZ) mechanisms.
Data security for both storage and transmission.
Azure cloud architecture and fundamental security concepts.
Authentication protocols (OAuth, SAML, Basic Auth) and API security best practices.
Risk Management & Security Architecture.
Identity & Access Management (IAM).
Security Assessment & Testing.
Communications & Network Security.
SIEM/SOAR, DLP, IAM, EDR/XDR, PAM.
Hands-on experience with any of these is a plus.
Cryptography fundamentals and key management best practices.
Ability to handle multiple priorities efficiently under pressure.
Strong written and verbal communication skills (B2+ level).
Practical experience with Azure security solutions and cloud security tools.
Familiarity with Infrastructure as Code (IaC) tools like Terraform for security automation.
Experience with container security and Azure Kubernetes Service (AKS) security best practices.
Knowledge of threat modeling and penetration testing methodologies.
Expertise in security compliance frameworks (ISO 27001, NIST, CIS Benchmarks).
Certifications (CISSP, CISM, CCSP, or AZ-500 - Microsoft Azure Security Engineer).

WHAT'S ON OFFER

What we can provide for you?
Attractive salary
Guaranteed 13th-month salary
Additional performance-based bonuses
Access to professional English course
Comprehensive health insurance
Generous annual leave
Why choose us?
Competitive compensation
Comprehensive benefits package including medical, dental, and vision coverage
Emphasis on Company Culture and Core Values
Professional Development Training with personalized career growth plans
Exposure to global environment and diverse, international teams
Opportunity to work with leaders in technology within the financial services industry
Work with prominent clients in capital markets, banking, and other sectors

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:

Information Technology & Services

Technical Skills:

Security, Azure

Location:

Ho Chi Minh, Ha Noi - Viet Nam

Working Policy:

Hybrid

Salary:

Negotiation

Job ID:

J01732

Status:

Close

Related Job:

Senior Software Developer (Perl)

Others - Viet Nam

Outsourcing company

  • Perl

Oversee feature development and make contributions to architectural enhancements in Perl-based systems. Restructure and update outdated Perl codebases. Enhance SQL queries and boost system performance. Engage in peer reviews, provide guidance to junior developers, and promote knowledge sharing. Spearhead enhancements in CI/CD pipelines and internal tooling.

Negotiation

View details

Senior DevOps (Data Platform)

Ho Chi Minh - Viet Nam

Digital Bank, Product

  • Devops
  • Spark

Managing workloads on EC2 clusters using DataBricks/EMR for efficient data processing Collaborating with stakeholders to implement a Data Mesh architecture for multiple closely related enterprise entities Utilizing Infrastructure as Code (IaC) tools for defining and managing data platform user access Implementing role-based access control (RBAC) mechanisms to enforce least privilege principles Collaborating with cross-functional teams to design, implement, and optimize data pipelines and workflows Utilizing distributed engines such as Spark for efficient data processing and analysis Establishing operational best practices for data warehousing tools Managing storage technologies to meet business requirements Troubleshooting and resolving platform-related issues Staying updated on emerging technologies and industry trends Documenting processes, configurations, and changes for comprehensive system documentation.

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