Platform Reliability Engineer

ABOUT CLIENT

Our client is a reputable company specializing in software development and IT consulting services

JOB DESCRIPTION

Maintain production reliability of the Linux-based research and trading platform within a globally distributed engineering team.
Respond quickly to production infrastructure issues.
Comprehend internal client needs and effectively communicate them to regional and global leadership.
Identify risks, develop contingency plans, and implement solutions to mitigate them.
Enhance the observability platform to monitor the performance and health of critical computing environments.
Take part in occasional on-call rotations and support on-call staff during their shifts.
Contribute to organizational knowledge through documentation, education, and writing maintainable code.

JOB REQUIREMENT

At least 2 years of experience in SRE, DevOps, or similar infrastructure engineering roles, with a preference for experience in the financial industry.
Knowledge of Linux system internals, including kernel operations, memory management, and performance optimization.
Familiarity with storage technologies, especially those used in high-performance computing (experience with GPFS is a bonus).
Broad understanding of IT infrastructure components such as networking, DNS, NTP/PTP, and NIS.
Proficiency in system automation, monitoring, and self-healing, with experience in Salt seen as a positive attribute.
Experience with container orchestration and virtualization technologies like Kubernetes, Nomad, and VMware.
Understanding of on-premises and cloud-based HPC infrastructure, with operational knowledge of Slurm and GPU considered a bonus.
Awareness of AI technologies and their applications in infrastructure automation and management.
Experience or strong interest in implementing AI/ML solutions for infrastructure optimization, anomaly detection, or predictive analytics.
Passion for technology and automation, with a deep sense of curiosity and ownership.
Hands-on problem-solving approach and enthusiasm for technology.
Excellent verbal and written English communication skills.

WHAT'S ON OFFER

Be part of a dynamic and passionate team working on cutting-edge projects using the latest technology.
Collaborate with experts from around the globe to enhance your skills and knowledge.
Embrace a culture of transparency and support, valuing individual growth and potential.
Additional month's salary and performance bonuses.
Comprehensive healthcare and accident insurance coverage.
Yearly health checkup package.
Various allowances such as lunch, marriage, newborn baby, bereavement, and more.
Well-equipped pantry for a comfortable lunch break.
Diverse sports and social activities like yoga, football, badminton, and tech clubs.
Annual company retreats and team-building events.
Recognition awards for outstanding individual and team performance and long-term service.
Professional development opportunities including advanced English and soft skills training.
Regular social events such as gatherings, games, birthday celebrations, and year-end parties.

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

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Onsite

Job ID:

J01977

Status:

Close

Related Job:

Lead Software Engineer (Distributed Computing)

Ho Chi Minh - Viet Nam

Product

  • Data Engineering
  • Backend
  • Spark
  • AI

Translate business objectives to technical solutions. Lead R&D to discover novel approaches and propose technical solutions. Lead the design and development of a next-generation AI-powered software transformation framework capable of accelerating the modernization of complex analytical applications. Own key architectural decisions for converting legacy computational tools into scalable cloud-native solutions. Define technical direction, engineering standards, and transformation methodologies for AI-assisted software modernization. Guide the use of AI agents, LLMs, and emerging AI engineering techniques to automate software analysis, code transformation, validation, and optimization. Lead technical investigations into how existing software systems can be restructured, decomposed, or re-implemented to operate efficiently in distributed environments. Collaborate with distributed computing specialists to design target architectures using Spark-based execution models for large-scale data processing. Build and guide the development of reusable transformation pipelines, automation tooling, and engineering frameworks that enable software modernization at scale. Establish validation strategies, quality frameworks, and technical review processes to ensure transformed systems maintain functional correctness and reproducibility. Drive architectural decisions around scalability, maintainability, performance, infrastructure efficiency, and long-term platform evolution. Mentor senior and mid-level engineers, review technical designs, and raise the engineering quality of the team. Partner with domain experts to understand application requirements and translate them into scalable, practical technical solutions. Prototype and evaluate new AI-assisted engineering approaches that improve transformation speed, engineering productivity, and software quality. Contribute to the organization's long-term strategy for AI-driven software modernization, distributed computing, and engineering automation.

Negotiation

View details

Salesforce Engineer (IC2)

Ho Chi Minh - Viet Nam

Outsource

  • Salesforce

#Salesforce Engineering (Quote-to-Cash) Build and maintain Salesforce processes from Quote through to Cash Work full-stack on the platform: declarative (data model, Flows, validation, security model) and programmatic (Apex, Lightning Web Components) Implement changes safely on a production system used by Go-to-Market every day#Integrations & System Interfaces Maintain and further develop the integrations between Salesforce and internal/external systems (customer portal, HubSpot, license management, billing/ERP, and others) Design and operate integrations using Salesforce REST/SOAP APIs and standard integration patterns Own the health of these interfaces: monitoring, error handling, and data consistency#Collaboration with Go-to-Market / RevOps Partner with RevOps and GTM to translate business needs into robust technical implementations Challenge requirements where they create risk or technical debt Coordinate handoffs at the Lead-to-Quote / Quote-to-Cash boundary#Reliability, Security & Change Safety Protect a revenue-critical system: change control, testing, backup/rollback awareness Apply JTL security and compliance standards to Salesforce work#Optional / stretch With spare capacity, support tech-heavy Lead-to-Quote topics in Salesforce (optional; primary ownership of Lead-to-Quote stays with RevOps)

Negotiation

View details

Senior Bioinformatics Engineer

Ho Chi Minh - Viet Nam

Product

  • Data Science

Act as the main expert on bioinformatics for engineering teams developing cloud-native bioinformatics software. Work with software architects to convert scientific workflows into scalable distributed computing architectures. Help engineers understand the computational characteristics, assumptions, and limitations of existing bioinformatics tools. Confirm that modernized applications maintain scientific correctness and produce reproducible results. Establish biological data models, metadata standards, controlled vocabularies, and best practices for data harmonization. Assist engineering teams in developing scalable approaches for processing large genomic and multi-omics datasets. Evaluate open-source bioinformatics software and identify opportunities for cloud-native modernization. Collaborate with distributed computing specialists to determine how algorithms can be parallelized using large-scale execution frameworks. Create validation datasets, benchmarking methodologies, and acceptance criteria for transformed applications. Review engineering designs to ensure biological accuracy and scientific integrity. Collaborate with AI engineering teams on using AI-assisted software transformation while ensuring scientific correctness. Stay up to date with advances in bioinformatics, computational biology, distributed computing, and cloud-based scientific software.

Negotiation

View details