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:

Offshore

Technical Skills:

Devops, AWS

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Hybrid

Salary:

Negotiation

Job ID:

J01324

Status:

Active

Related Job:

Senior Software Engineer (PHP/ Golang)

Ho Chi Minh - Viet Nam

Product

  • PHP
  • Golang

#Build great software: Analyze requirements, translate them into technical specifications, and estimate their implementation cost. Be a strong individual contributor, actively writing (or teaching AI how to write) high-quality, maintainable, and scalable code. Contribute to the technical roadmap: Identify and prioritise problems, gaps and technical debt in the product. Research and evaluate new tools, technologies and frameworks to enhance the product and improve development efficiency. Actively ensure the product is technically prepared for future challenges, especially considering security, maintainability, and scalability.#Co-own the product: We emphasize the culture of ownership, so our engineers are empowered and encouraged to provide product development suggestions. Provide technical input and insights to Product Managers regarding tradeoffs between scope, engineering capacity, and time constraints.#Raise the quality bar for the team: Champion best practices and actively participate in code and design document reviews to ensure high quality. Mentor and support other engineers, fostering their growth and development. Cross-team collaboration Maintain communication with other technical teams to avoid duplicate effort, incompatible solutions and solving problems other teams have already resolved.

Negotiation

View details

Senior Technical Artist - VVX

Ho Chi Minh - Viet Nam

Product

  • Artist

Develop and optimize graphics technologies to bring the Art Director's visual direction to life across real-time environments. Rapidly prototype art-driven features that require technical implementation, improving production efficiency and workflow speed. Establish performance and optimization guidelines, and provide technical support to ensure stable, high-quality output. Build tools, automate workflows, and support pipeline improvements to enhance artists' productivity. Develop shaders and visual effects based on Unreal Engine and Unity's rendering systems. Collaborate closely with Art, Tech, and Production teams to solve complex visual-technical challenges and ensure consistency across pipelines.

Negotiation

View details

Senior Deep Learning Algorithms Engineer

Ho Chi Minh, Ha Noi - Viet Nam

Product

  • Machine Learning
  • Algorithm

Analyze and optimize deep learning training and inference workloads on advanced hardware and software platforms. Work with researchers and engineers to enhance workload performance. Develop high-quality software for deep learning platforms. Create automated tools for workload analysis and optimization.

Negotiation

View details