Cloud Engineer (AWS Kafka)

ABOUT CLIENT

Our client is using new technology to develop products for the banking industry

JOB DESCRIPTION

Designing, implementing, and maintaining streaming solutions using AWS Managed Streaming for Apache Kafka (MSK).
Monitoring and managing Kafka clusters to ensure optimal performance, scalability, and uptime.
Configuring and fine-tuning MSK clusters, including partitioning strategies, replication, and retention policies.
Collaborating with engineering teams to design and implement event-driven systems and microservices architectures.
Developing and maintaining robust data pipelines for real-time data processing and streaming using Kafka.
Ensuring seamless integration between MSK/SQS/SNS and other AWS services such as Lambda, EventBridge Pipes, S3.
Analyzing and optimizing the performance of Kafka clusters and streaming pipelines to meet high-throughput and low-latency requirements.
Implementing best practices for Kafka topic design, consumer group management, and message serialization (e.g., Avro).
Implementing security best practices for MSK, including encryption, authentication, and access controls.
Ensuring compliance with industry standards and regulations related to data streaming and event processing.
Setting up comprehensive monitoring and alerting for Kafka clusters and streaming applications using AWS CloudWatch and Datadog.
Troubleshooting and resolving issues related to data loss, message lag, and streaming failures.
Designing and implementing data integration solutions to stream data between various sources and targets using MSK.
Leading data transformation and enrichment processes to ensure data quality and consistency in streaming applications.

JOB REQUIREMENT

Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
Minimum 5 years of experience in event-driven architectures and streaming solutions.
Proficiency in Apache Kafka, with at least 2 years specifically in AWS MSK.
Design and implementation experience of high-throughput, low-latency streaming applications in AWS environments.
Strong understanding of Kafka internals and proficiency in programming languages such as Java, Python, or Scala.
Experience with AWS services like Lambda, Kinesis, S3, and IAM in conjunction with MSK.
Familiarity with CI/CD tools and IaC tools like CloudFormation, Terraform, or CDK.
Strong analytical and problem-solving skills with effective communication and collaboration abilities.
AWS Certified Solutions Architect, AWS Certified Developer, or similar AWS certification.
Strong analytical and problem-solving skills and effective communication and collaboration abilities.
Ability to manage multiple priorities and projects in a fast-paced environment.

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:

Product

Technical Skills:

Kafka, AWS

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Hybrid

Job ID:

J01556

Status:

Close

Related Job:

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

Senior Software Engineer (Distributed Computing)

Ho Chi Minh - Viet Nam

Product

  • Python
  • AWS
  • Spark

Contribute to design and input on system architectures and coding standards, while providing guidance to junior engineers. Collaborate with multiple teams to ensure that software solutions align with business requirements and international standards. Address complex software development and integration challenges to improve system performance. Develop high-quality Python code and integrate diverse software components into cohesive solutions, with a focus on cloud computing and applications in life sciences. Stay updated on new technologies and Python frameworks, especially in cloud computing. Supervise testing, deployment, and comprehensive documentation of integrated systems. Actively participate in all stages of the software development lifecycle, including creating user stories and engaging in sprint planning to align development efforts with business goals. Collaborate with multinational companies and demonstrate flexibility to occasionally accommodate different time zones.

Negotiation

View details