Senior DevOps Engineer (AWS, Cloud)

ABOUT CLIENT

Our client is using new technology to develop products for the banking industry

JOB DESCRIPTION

We are in need of an experienced Senior DevOps Engineer (AWS) to join our team. This role is essential in supporting our engineering and business operations. The ideal candidate will be responsible for implementing tools and processes that facilitate rapid development and deployment of software.
The main responsibility is to adopt continuous integration/deployment in a delivery pipeline that performs automated quality checks, deploys cloud infrastructure and applications quickly, and offers operational tooling and metrics for use by development teams. Success in this role requires a combination of development and operational experience, providing an understanding of the developers you work with while ensuring critical systems uptime.
 
Responsibilities
Contribute to developing continuous delivery, automation, and building pipelines for a better development and customer experience
Identify and develop opportunities to improve processes and tools for automation
Learn new skills and help promote a continuous delivery and cloud-first mindset
Manage day-to-day workload and requests using agile practices as part of a team and community
Periodic after-hours on-call support and overtime may be required
Occasional travel (up to 10% of the year) may be necessary

JOB REQUIREMENT

Required Qualifications
A degree in Computer Science, Information Technology, or a related field.
Proficiency in Linux operating systems management.
Familiarity with Docker and container orchestration, such as ECS/EKS.
Knowledge of AWS CloudFormation/Terraform/CDK for infrastructure provisioning.
Understanding of source control concepts (e.g., Gitlab/Git flow, Trunk base, branches).
Experience with CI/CD tools or configuration management tools.
Proficiency in at least one programming language (e.g., Python, Bash).
Understanding of networking, firewalls, load balancers, high availability.
Strong English communication skills and the ability to engage with both business and technical teams.
Strong problem-solving abilities and logical thinking.
Self-learning attitude and an eagerness to explore and acquire new knowledge.
Experience in SDLC and Agile methodologies.
Ability to work effectively both independently and as part of a team.
 
Preferred Qualifications
Previous experience in the banking or finance industry.
AWS certification(s) related to Advanced Networking.
AWS Certified DevOps Engineer - Professional.

WHAT'S ON OFFER

Company offers meal and parking benefits.
Full benefits and probationary salary provided.
Insurance coverage as per Vietnamese labor law and premium health care for employees and their families.
Work environment is values-driven, international, and agile in nature.
Opportunities for overseas travel related to training and work.
Participation in internal Hackathons and company events such as team building, coffee runs, and blue card activities.
Additional benefits include a 13th-month salary and performance bonuses.
Employees receive 15 days of annual leave and 3 days of sick leave per year.
Work-life balance with a 40-hour workweek from Monday to Friday.

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:

Devops, AWS

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Hybrid

Salary:

Negotiation

Job ID:

J01324

Status:

Active

Related Job:

Senior Deep Learning Engineer - AI for Wireless Systems

Ho Chi Minh, Ha Noi - Viet Nam


Computer Hardware

  • Machine Learning

Develop and test deep learning models for various wireless signal processing tasks including channel estimation, beam alignment, link adaptation, and scheduling. Utilize simulation tools and real-world datasets to create models that can be applied across different wireless scenarios. Build, train, and assess neural networks (e.g., CNNs, Transformers, GNNs) with PyTorch or TensorFlow. Engage in teamwork with researchers and system engineers to incorporate models into complete RAN systems. Enhance model efficiency for real-time processing and hardware acceleration. Participate in model assessment, performance comparison, and deployment preparation on GPU platforms.

Negotiation

View details

Director Engineering – Software Engineering and AI Inferencing Platforms

Ho Chi Minh, Ha Noi - Viet Nam


Computer Hardware

  • Management
  • Backend
  • Cloud
  • Data Engineering
  • AI

Lead and expand engineering teams in Vietnam across system software, data science, and AI platforms. Drive the creation, structure, and delivery of high-performance system software platforms that support AI products and services. Collaborate with global teams across Machine Learning, Inference Services, and Hardware/Software integration to guarantee performance, reliability, and scalability. Oversee the development and optimization of AI delivery platforms in Vietnam, including NIMs, Blueprints, and other flagship services. Collaborate with open-source and enterprise data and workflow ecosystems to advance accelerated AI factory, data science, and data engineering workloads. Promote continuous integration, continuous delivery, and engineering best practices across multi-site R&D Centers. Work with product management and other stakeholders to ensure enterprise readiness and customer impact. Establish and implement standard processes for large-scale, distributed system testing including stress, scale, failover, and resiliency testing. Ensure security and compliance testing aligns with industry standards for cloud and data center products. Mentor and develop talent within the organization, fostering a culture of quality and continuous improvement.

Negotiation

View details

Senior Natural Language Processing Engineer

Ho Chi Minh - Viet Nam


Computer Hardware

  • Machine Learning
  • NLP

Create and enhance AI language models for different NLP tasks such as translation and sentiment analysis. Deploy and integrate models for various language pairs to ensure smooth integration into projects. Work with cross-functional teams to support the effective deployment of NLP models. Constantly assess and enhance model performance to upkeep high standards.

Negotiation

View details