Full-stack DevSecOps Engineer

ABOUT CLIENT

Our client is a startup company focusing on building a marketplace for insurance products

JOB DESCRIPTION

Analyzing and understanding enterprise data landscape and mapping data stores and flows for our micro-service approach
Implementing high performance, scalable, and testable components for our architecture
Developing and deploying modern architectural patterns/techniques including the use of modern frameworks like Spring Boot, Spring Cloud for backend, and Angular for frontend
Creating RESTful APIs and microservices-based solutions leveraging container technologies
Managing CI/CD pipeline to ensure automation, security, and scalability throughout the development lifecycle
Conducting regular code reviews, static/dynamic analysis, and addressing security vulnerabilities
Implementing continuous monitoring and incident response for prompt threat identification and resolution
Ensuring compliance with industry standards and best practices
Upholding high engineering standards and focusing on performance and scalability
Collaborating with various teams to meet engineering principles and act as a change agent
Writing well-documented, maintainable, and clean code
Demonstrating strong English communication skills
Utilizing rapid prototyping techniques to accelerate time-to-market
Keeping updated with new technology trends.

JOB REQUIREMENT

Full-stack Engineer with experience in architecting, developing, and deploying modern cloud native solutions using microservices architecture.
Senior level experience in designing solutions for managing complex business rules within the Azure/AWS ecosystem and cloud infrastructure.
Extensive experience with microservices and event-driven architecture.
Proficiency in cloud platforms (AWS, Azure, or GCP) and their security features.
Strong knowledge of CI/CD tools such as Azure Pipeline, Jenkins, ArgoCD, and GitLab CI.
Experience with IaC tools like Terraform, Terra-grunt, and Helm, and familiarity with the GitOps concept.
Expertise in containerization and orchestration using Docker and Kubernetes.
Strong scripting skills in Python, Bash, and PowerShell.
Understanding of AI and machine learning principles to enhance security measures and automate threat detection.
Previous work experience in Insurance consulting/architecture within a software and/or services company.
Ability to decompose complex issues, find solutions, and summarize effectively.
Autonomous project management skills with strong attention to detail and follow-up.
The ideal candidate should:
Embody a collaborative approach in bringing both business and technology stakeholders together to deliver technology solutions that enable tangible business benefits.
Be proactive, solutions-oriented, innovative, and entrepreneurial in thinking.
Work well as part of a team and autonomously in a fast-paced, high-volume environment.
Have strong decision-making abilities and a strong work ethic.

WHAT'S ON OFFER

Competitive compensation package
Health benefits for yourself and two family members
Additional allowances for meals, phone, and transportation
Year-end bonus
Strong business and technical support
Positive and diverse work environment
Potential for travel and work in Southeast Asia
New, modern office in District 1 (HCM city)
Access to latest technologies and flexible work hours
Other perks and benefits available

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:

Product

Technical Skills:

Java, Angular, Devops, Security

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Hybrid, Onsite, Hybrid

Job ID:

J01729

Status:

Close

Related Job:

AI Engineer

Ho Chi Minh - Viet Nam

Product

  • AI
  • Python

#AI-Powered Insurance Solutions Develop and deploy machine learning models to support insurance recommendation, pricing, risk assessment, and claims automation Build and maintain AI-powered features integrated into our embedded insurance platform - from data pipelines to inference APIs Design and implement RAG (Retrieval-Augmented Generation) pipelines and LLMbased assistants for internal and customer-facing use cases Collaborate with product and engineering teams to translate business requirements into practical AI solutions Participate in the full ML/AI lifecycle: data collection, feature engineering, model training, evaluation, deployment, and monitoring Contribute to our internal AI agent framework - building, testing, and improving multiagent workflows using LangChain, LangGraph, or similar tools Ensure AI models and services meet performance, reliability, and compliance standards in a regulated (insurance) environment Participate in developing CI/CD workflows for AI/ML/Data pipelines. Contribute to Agent Development Toolkits (ADK) and the automated Software Development Life Cycle (SDLC) that accelerate AI-native feature delivery#R&D & Engineering Tasks Research and experiment with state-of-the-art AI/ML techniques and evaluate their applicability to insurance use cases Prototype new AI capabilities quickly, iterate based on feedback, and graduate successful experiments into production Document experiments, model architectures, and engineering decisions clearly for team knowledge sharing Stay current with the AI ecosystem (LLM advances, agent frameworks, tooling) and bring relevant insights back to the team Support Full Stack Engineers in using the AI Development Toolkit (ADK) to develop applications - guiding and enabling their use of the toolkit rather than building the applications yourself - and maintain a basic understanding of the SDLC to help ensure consistent engineering standards across the platform Contribute to and continuously enhance the system knowledge base, ensuring documentation, patterns, and learnings are accessible to the agents

Negotiation

View details

Backend Engineer

Ho Chi Minh - Viet Nam

Product

  • Typescript
  • NodeJS
  • Python
  • AI

Build the core gateway: a unified, OpenAI-compatible API in front of multiple providers (OpenAI, Anthropic, Google, plus self-hosted and OSS models). Own provider routing and reliability: load balancing, automatic failover, and cost and latency-aware routing. Build billing and metering that is correct, not approximate: per-request token accounting, usage ledgers, cost attribution per team, user, and key, budgets, and spend limits. Ship org controls: API key management, per-team and per-user quotas, rate limiting, and RBAC. Handle streaming and performance: low-overhead proxying, streaming responses, connection handling, and caching where it helps. Contribute to the Jan Agent and connect it to the router: route its model and tool calls through the gateway, and make agent traffic first-class in metering, controls, and observability. Make deliberate speed-versus-correctness calls: move fast where iteration is cheap, refuse to cut corners where a bug means a bad charge or a leaked key, and pay down debt on your own initiative.

Negotiation

View details

Senior Backend Engineer (Shop 6.0)

Ho Chi Minh - Viet Nam

Outsource

  • NodeJS
  • Azure

Design and develop the backend services for the core areas of Shop 6.0 (catalog, orders, payments, ERP Cloud integration) Define API boundaries and ensure consistent, scalable communication between services Own reliable data synchronization between the ERP Cloud and the platform, including error handling and recovery mechanisms Optimize systems for performance and scalability (caching, asynchronous processing, read/write optimization) Establish observability standards (logging, monitoring, alerting) across all backend services Conduct code reviews, promote best practices, and support less experienced team members

Negotiation

View details