Cyber Response Engineer

ABOUT CLIENT

Our client is one of the world’s largest providers of Consulting, Outsourcing and Technology Services

JOB DESCRIPTION

We are looking for a skilled Cyber Response Engineer with expertise in Phantom and Python to join our cybersecurity team.
The ideal candidate will be responsible for developing and implementing automated response solutions to enhance our incident response capabilities.
Responsibilities include leading and managing cyber incident investigations, ensuring timely and effective resolution.
The candidate will also utilize Phantom and Python to develop and maintain automated response playbooks and scripts.
The role involves analyzing and interpreting security events and logs to identify potential threats and vulnerabilities, as well as working closely with other cybersecurity teams to integrate automated response solutions into existing workflows.
Additionally, the candidate will maintain detailed documentation of incident response processes, playbooks, and automation scripts, and stay updated with the latest cybersecurity trends and technologies to continuously improve response strategies.

JOB REQUIREMENT

A bachelor's degree in Computer Science, Information Technology, Cybersecurity, or a related field is required.
Minimum of 3 years of experience in cybersecurity, with a focus on incident response and automation.
Proficiency in Python programming is essential.
Experience with Phantom or similar Security Orchestration, Automation, and Response (SOAR) platforms.
Strong understanding of cybersecurity principles and best practices is necessary.
Familiarity with SIEM tools and threat intelligence platforms is beneficial.
Excellent problem-solving skills, strong communication abilities, and the ability to work effectively in a team environment are important.
Preferred qualifications include certifications such as CISSP, CEH, or GIAC.
Experience with other programming languages and automation tools is a plus.
Knowledge of cloud security and related technologies is preferred.

WHAT'S ON OFFER

Competitive compensation, comprehensive health insurance for employees and dependents.
Participation in international projects within a professional and dynamic work setting.
Gaining valuable experience with diverse projects, new technologies, and a multitude of talents.
Access to training opportunities, including technical seminars and soft skill courses.
Potential for promotion through a regular performance review system.

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:

Security

Location:

Ho Chi Minh, Ha Noi - Viet Nam

Working Policy:

Hybrid

Job ID:

J01764

Status:

Close

Related Job:

Senior Engineer Manager - Technology Risk

Ho Chi Minh - Viet Nam


Product

  • Management
  • Backend
  • Data Engineering
  • Devops

Develop and implement a cohesive roadmap for strategic execution based on the company's strategic ambitions Coordinate and oversee multiple engineering teams within the organization to achieve desired outcomes Collaborate with various internal teams, including technology, risk, business, and product teams, to ensure requirements are met before and after project delivery Take responsibility for both the development and ongoing operational support of applications in production Manage cyber security updates, ensuring software versions are up to date and infrastructure is patched regularly Monitor and control investment delivery to maintain alignment between different domains and optimize spending Facilitate collaboration between engineering and risk domain experts to achieve strategic technology goals

Negotiation

View details

Data Engineer

Ho Chi Minh - Viet Nam


Outsource

  • Data Engineering

Develop, test, and manage batch and streaming data pipelines on various cloud platforms like Snowflake, AWS Redshift, and Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Composer). Import data from various sources such as client APIs, SaaS platforms, event streams, and databases into secure cloud storage and warehouse layers. Create transformation logic using SQL and Python and deploy tested, well-documented models in dbt. Establish datasets and dashboards in Sigma for easy querying by business users and AI systems. Prepare and deliver data for AI applications, including feature tables, embeddings, and retrieval datasets, and provide access to data through controlled APIs and MCP servers. Utilize AI programming tools and automated workflows to enhance development efficiency, testing, and documentation, ensuring accuracy in the output. Set up data quality assessments, monitoring, and alerts, and develop automated procedures for diagnosing pipeline failures with AI support. Record details about pipelines, schemas, and data structures for the benefit of other teams and AI systems. Engage in code assessments and sprint planning within an agile, globally distributed team.

Negotiation

View details

Senior/ Lead Data Engineer

Ho Chi Minh - Viet Nam


Outsource

  • Data Engineering

Develop pipelines on various cloud platforms such as Google Cloud Platform, AWS, and Snowflake for large enterprises. Create data models using dbt and make them accessible through layers that can be easily queried by analysts and applications. Construct data products that support automated systems, including layers for retrieval, pipelines for embedding, and interfaces for tools that agents use. Create workflows where agents oversee pipelines, address issues, conduct tests, and suggest improvements. Collaborate with teams from different backgrounds to hasten pipeline development, testing, and migration from older systems, ensuring that all changes are thoroughly checked before implementation. Establish and uphold data engineering standards for automation, continuous integration/continuous deployment (CI/CD), infrastructure as code, testing, and monitoring through code reviews. Take charge of data quality, data lineage, security, and cost management on various platforms, ensuring proper access controls and audit trails. Provide guidance to Data Engineers, evaluate their work, and serve as the representative for the data engineering team in technical conversations. Transform client business needs into technical designs and estimates for new projects.

Negotiation

View details