Site Reliability Engineer

JOB DESCRIPTION

We are seeking an engineer to ensure the reliability and performance of Our Client's Data Platform. Successful candidates will work with researchers, operations, and other technology teams to establish the smooth functioning of our production data pipeline sourced from an enormous and continuously updating catalog of vendor and market data. This engineer will also develop solutions to improve the efficiency and scalability of our ever-growing business-critical management system
Operate, monitor, and provision the system to make sure it works smoothly
Provide feedback for system improvement
Provide solutions for live monitoring of the production data pipeline
Design and implement continuous integration and test automation
Deliver release management solutions
Collaborate with engineering, analyst, and research teams to ensure the reliability and operability of new data pipeline components
Analyze and diagnose platform performance and reliability problems
Understand, manage, and utilize the right technologies for building our platforms such as Kubernetes, Kafka, and Spark

JOB REQUIREMENT

Bachelor’s degree in Computer Science or equivalent experience
Excellent analytical skills and a passion for solving problems
Experience in Linux administration; fluent in Linux standard command line programs
Fluency in Python and its ecosystem (numpy, pandas, etc.) is strongly recommended
Experience in metrics and logs aggregation and analysis with a focus on performance optimization
Understanding of Git and CI/CD concept
A great support attitude (our job is to make life easier for other teams!)
Strong written and verbal communication skills; Fluency in the English language
Knowledgeable in:
Computer science fundamentals (algorithms and data structures)
Relational databases
Modern service architectures
Experience in the following technologies is relevant: Kafka, Docker, Helm, Kubernetes, GC, AWS, Spark and Pyspark, Hadoop, Redis, MySQL, gRPC, Apache Arrow, Apache Airflow

WHAT'S ON OFFER

Competitive and attractive compensation package with a clear career road-map – where you feel challenged every day
We offer a strong culture of learning and development: training courses, library, speakers, share and learn events
Learn from who sits next to you! Working in our client's environment, you are surrounded by smart and talented people
Employee resources groups with strong diversity and inclusion culture
Premium Health Insurance and Employee Assistance Program
Generous time-off policy, unlimited sick days, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family
Team building activities every month: Local engagement events, monthly team lunches – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc.
Annual company trips and occasional global conferences – the opportunity to travel and connect with our global teams
Happy hour with tea breaks, snacks, and meals every day in the office!

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, Kubernetes, Kafka, Python

Location:

Ho Chi Minh, Ha Noi - Viet Nam

Working Policy:

Salary:

Negotiation

Job ID:

J01251

Status:

Close

Related Job:

Senior Mobile Security Engineer (Forensics)

Ho Chi Minh - Viet Nam


Product

  • Security

Examine and interpret large-scale datasets and fraudulent activities to identify patterns, clusters, and evolving fraudulent behavior, including understanding the methods and processes used by attackers. Collaborate with the mobile development team to create and integrate secure mobile SDK components for accurate collection of forensic data, aiding in the identification of location spoofing, emulator abuse, rooted/jailbroken environments, and other forms of environment manipulation. Lead and conduct in-depth technical research on emerging mobile fraud and evasion techniques, and translate the findings into practical forensic indicators. Establish and improve end-to-end incident response capabilities throughout the system, working with Data Science and ML teams to convert forensic insights into technical features, rules, and detection logic. Offer technical advice and mentorship to junior engineers on effective practices in mobile security, forensics, and data analysis.

Negotiation

View details

AI/ML Engineer

Ho Chi Minh - Viet Nam


Offshore

  • Machine Learning
  • AI
  • Data Engineering

Develop and optimize ML pipelines for both real-time and batch inference, applying modern MLOps best practices. Collaborate cross-functionally with data engineers and software developers to seamlessly integrate models into our client's banking platform, ensuring reliability, monitoring, and version control. Research, prototype, and productionize models in critical domains such as credit scoring, fraud detection, transaction classification, personalization, and conversational AI. Implement robust evaluation frameworks, including A/B testing and drift detection, to maintain accuracy and stability over time. Contribute to internal libraries and frameworks that standardize ML workflows and accelerate development across teams. Explore emerging techniques in LLMs, Generative AI, and reinforcement learning, assessing their applicability to our client's ecosystem. Mentor junior engineers and partner closely with product and infrastructure teams to ensure models are production-ready and scalable globally.

Negotiation

View details

Senior Software Engineer (PHP/ Golang)

Ho Chi Minh - Viet Nam


Product

  • PHP
  • Golang

Analyzing requirements, converting them into technical specifications, and estimating implementation cost. Making significant individual contributions, actively writing high-quality, maintainable, and scalable code. Participating in shaping the technical roadmap by identifying and prioritizing issues, gaps, and technical debt in the product. Researching and evaluating new tools, technologies, and frameworks to enhance the product and improve development efficiency. Ensuring the product is technically prepared for future challenges, with a focus on security, maintainability, and scalability. Encouraging a culture of ownership, empowering engineers to provide product development suggestions. Providing technical input and insights to Product Managers regarding tradeoffs between scope, engineering capacity, and time constraints. Advocating best practices and actively participating in code and design document reviews to ensure high quality. Mentoring and supporting other engineers to foster their growth and development. Collaborating with other technical teams to maintain effective communication and avoid duplicate efforts or incompatible solutions.

Negotiation

View details