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:

Offshore

Technical Skills:

Kafka, AWS

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Hybrid

Salary:

Negotiation

Job ID:

J01556

Status:

Close

Related Job:

Senior Full-stack Java Software Engineer

Ho Chi Minh - Viet Nam


Outsource

Develop and maintain full-stack web applications using Java (main core), Spring Boot on the backend and Angular (TypeScript) on the frontend. Design and implement $1ESTful APIs, ensuring scalability, security, and performance. Participate in system design, code review, and technical discussions. Work with AWS cloud services to deploy and operate applications in production. Write unit tests and integration tests to ensure high code quality. Collaborate in Agile/Scrum teams with Product Owner, QA, and DevOps. Support and mentor junior developers.

Negotiation

View details

Senior Data Engineer

Ho Chi Minh - Viet Nam


Product

We're seeking a Staff Data Engineer to own and evolve our data infrastructure as we scale globally. You'll design and build the data systems that power our platform - from real-time pipelines and analytics infrastructure to the AI/ML foundations enabling intelligent insurance products.#Data Architecture & Engineering Design and implement scalable, future-proof data architectures aligned with business objectives across multiple regions and regulatory environments Build and maintain data pipelines for ingestion, transformation, and delivery using modern orchestration tools (Airflow, Spark, Kafka) Architect data solutions spanning data warehousing, data lakes, and real-time analytics Create and maintain data models (conceptual, logical, physical) using recognized modeling approaches Develop and document the enterprise data landscape, mapping data stores and flows across our microservices architecture#AI/ML Infrastructure Build and maintain data infrastructure supporting ML model training, deployment, and monitoring (MLOps) Design and implement vector database solutions for AI-powered features (e.g., MongoDB Atlas Vector Search, Pinecone, Weaviate) Develop data pipelines feeding recommendation engines, claims processing automation, fraud detection, and other AI-driven capabilities Ensure AI infrastructure scales globally while meeting data residency and compliance requirements#Data Operations & Quality Implement DataOps practices ensuring data quality, lineage, and governance across the platform Define and enforce data strategy and architectural principles across engineering teams Build monitoring and alerting for pipeline health, data quality, and SLA compliance Optimize query performance and cost efficiency across data systems#Technical Leadership Collaborate with product and engineering teams to translate business requirements into data solutions Act as a change agent, driving adoption of modern data practices across the organization Contribute to architectural reviews and technical decision-making Own data problems through to resolution

Negotiation

View details

Android Engineer - Hanoi

Ha Noi - Viet Nam


Product

  • Android

Creating and managing Android applications using Kotlin Constructing Android services for production use and contributing to live service operations Utilizing Jetpack Compose to design modern Android UI Incorporating asynchronous programming through Coroutines and Flow Developing scalable Android app architecture with modularization and dependency injection Collaborating with cross-functional teams through effective communication

Negotiation

View details