Lead Cloud Engineer

ABOUT CLIENT

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

JOB DESCRIPTION

Provide technical leadership and architectural direction across multiple product teams utilizing AWS.
Define and develop the cloud strategy, ensuring it aligns with business objectives, regulatory requirements, and security standards.
Take responsibility for the end-to-end architecture of AWS-based infrastructure, including networking, compute, storage, and security models.
Mentor Cloud Engineers and establish best practices for Infrastructure-as-Code (IaC), CI/CD, monitoring, and cloud security.
Oversee large-scale cloud migration initiatives (on-premises to AWS) while ensuring minimal downtime and full compliance.
Collaborate with Delivery, Security, and Product stakeholders to convert business needs into technical designs.
Evaluate emerging AWS services and DevOps tools to drive the adoption of solutions that reduce operational toil and improve delivery velocity.
Define and enforce service level objectives (SLOs) and service level indicators (SLIs) for cloud infrastructure to ensure resilience, performance, and observability.
Ensure adherence to security standards (PCI-DSS, ISO, SOC2) and proper IAM governance, encryption, and audit readiness.
Provide support for critical production incidents, leading root cause analysis and continuous improvement actions.

JOB REQUIREMENT

Mastery in cloud engineering, with extensive hands-on experience in core AWS services.
Proven ability to design large-scale, multi-account AWS architectures for regulated industries.
Minimum 3 years in a senior/lead role, mentoring teams and driving governance.
Advanced experience with Terraform or AWS CloudFormation and building reusable infrastructure components.
Experience setting up enterprise-grade pipelines for continuous integration and delivery.
Strong knowledge of cloud security practices, IAM policy design, encryption, audit, and compliance frameworks.
Expertise in architecting for scalability, availability, disaster recovery, and fault tolerance.
Strong ability to engage stakeholders, present technical strategies, and influence decision-making at senior levels.
AWS Certified Solutions Architect - Professional or AWS Certified DevOps Engineer - Professional.
Experience implementing advanced monitoring/logging.
Experience with Kafka or AWS-native equivalents.
Understanding of other platforms while maintaining AWS specialization.
Familiarity with application development (Java, Python) for effective collaboration with dev teams.

WHAT'S ON OFFER

We offer a professional and enjoyable working atmosphere.
We prioritize your long-term development.
We are dedicated to creating a future-ready digital bank platform.
Competitive salary
13th-month salary guarantee
Performance bonus
Access to professional English courses
Premium health insurance
Generous annual leave allowance

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:

Devops, Cloud, AWS, Google Cloud

Location:

Ho Chi Minh, Ha Noi - Viet Nam

Working Policy:

Salary:

Negotiation

Job ID:

J00581

Status:

Close

Related Job:

Android Engineer (Java/Kotlin)

Ho Chi Minh - Viet Nam


Product

Develop Android App part of various Services Develop new services and improve structures Analyze and apply new technologies to services

Negotiation

View details

C++ Engineer - Market Data

Ho Chi Minh, Ha Noi - Viet Nam


Product

Maintain/enhance our legacy C++-based tick data processing platform as needed, demonstrating product ownership, and helping migrate datasets to our new tick data processing platform. Contribute to our new, modern C++-based tick data processing platform - enhancing the platform to support additional tick data feeds across asset classes, developing/reviewing the implementation of tick data-based interval features/statistics, and adding new functionality to the platform all while maintaining high software standards and best practices. Collaborate with the Research and Portfolio Management organizations to facilitate the transition from our legacy platform to our new platform, supporting their price volume data needs for signal generation.

Negotiation

View details

AI-Native Software Engineering Lead

Ho Chi Minh - Viet Nam


Outsource

  • Backend
  • AI

Responsible for developing and evolving the AI-native SDLC operating model, including agent workflow designs, verification gates, context management standards, and evaluation frameworks Build and lead multi-agent systems using orchestration layers such as Claude Code, GitHub Copilot Workspace, Cursor, LangGraph, CrewAI, or equivalent, from prototype to production Collaborate with the Director of Engineering to contribute to and maintain the company's AI toolchain selection criteria and evaluate tools with engineering rigor, providing internal guidance on when AI is beneficial and when it is not Establish engineering standards, agent evaluation loops, and AI output quality gates across the delivery organization Previous experience in a lead, principal, or staff engineer role with demonstrated cross-team influence Experience in outsourcing, consulting, or multi-client delivery environments Track record of building or leading an internal community of practice, guild, or AI adoption program Develop and continuously evolve the company's AI-native SDLC playbook, including standards, workflow templates, case studies, and guardrails that delivery teams can adopt immediately Design and lead internal upskilling programs that transition engineers from AI-assisted to AI-native working patterns Keep track of the AI capability frontier, model improvements, new agent frameworks, and emerging risks, translating signals into timely updates to client practices Work closely alongside Delivery Teams as an AI transformation advisor and execution partner, identifying the highest-value automation opportunities across the SDLC and coordinating with the team to implement them Design and deploy agent-orchestrated workflows tailored to each client's stack, team maturity, and delivery context, with measurable ROI Build business cases for AI-native adoption with clients and account managers, framing the value in terms of velocity, quality, and cost Represent the company's AI-native engineering capabilities in client conversations, QBRs, and RFP responses as a credible technical authority

Negotiation

View details