Back End Engineer

To work with global team and be responsible to investigate, verify the IoT Platform performance, analyze, identify root cause and propose recommendation

 Responsibilities:

  • Digest and understand business process and requirement
  • Develop Back End services
  • Investigate DB Schema issue and Data Flow if there is bottle neck
  • Investigate Code Structure and verify if follow best practice
  • Performance optimization/Enhancement
  • Develop documentation

 Requirements:

  • Relevant degree with minimum 5 years of experience in developing IoT Platform using Cloud native microservices
  • Hands-on experience to develop IoT Platform (NOT IT Platform) is a MUST. Especially on device ingestion, DB Schema to be able to scale up/down horizontally and vertically.
  • Technology Stack include:
    • Timeseries DB : Timescale, PostgreSQL
    • .Net Core, golang
    • Kafka, RabitMQ
    • js is an added advantage
    • Web API
    • Kubernetes and Docker
    • Redis cache

Interested candidates, please send your updated resume in Words format with recent photograph to us at talents@talentnex.com.

Only shortlisted candidates will be notified.

EA Licence No.: 13C6409

 

Senior IoT Solution Architect

To understand the design requirement, solutioning, develop, simulation and integration. This include develop the end-to-end IoT architecture to ensure the vertical and horizontal scalability, auto scaling, self-healing, stable performance, secure and also develop documentation. To  work closely with pre-sales and engineering team to understand their feedback and keep enhancing the IIoT platform

Responsibilities:

  • Architecture Design
    • Design Cloud Microservices architecture for IoT Platform
    • Design cost and performance effective, event driven architecture for IoT Platform
    • Design high scalable, high availability architecture
    • Design multi-tenant and cloud agnostic architecture with cost effective way
    • Develop Functional Design Document.
  • Security
    • Best Practices, Design end to end security including benchmarking and penetration test.
    • Security such as authentication, authorization, cryptographic, OWASP standard, JWT, etc.
    • Perform Sanity test, security test, pent test with 3rd party, unit integration and other tests.
  • Operation
    • Deployment strategy
    • Performance test especially for the ingestion to be capable to handle large number of device with fast interval (less than a second) and auto scale up/down with the cost-effective way.
    • Performance test for the dashboard to ensure auto scale horizontally and vertically with large number of users accessing the UI and data
    • DevOps tasks with Azure DevOps as a priority.
    • Deploy CI/CD pipeline – Azure DevOps include detail architecture Helm, etc. And train the Engineer to be able to do it independently to support operation.
    • Exception handling, logging, localization, caching strategy, portability, performance, and transaction management
    • Fault management and notification
  • Development
    • Development standard and best practices.
    • Design technologies based on Business Requirement which cover domain, application persistence, infra and presentation layer.
    • Design logical view, data processing, ETL, standardization, and transformation.
    • Data modelling and mapping for IoT data (unstructured) and structure data
    • Database migration
    • API integration
  • Training
    • DevOps training
    • Development training.

 Requirements:

  • A relevant degree with 8 years of working experience on Microservices, DevOps and Security for IoT Platform
  • Hands-on Azure and AWS
  • Microsoft Azure microservice component, cloud native for IoT Platform
  • AWS microservice component, cloud native for IoT Platform
  • Kubernetes: AKS, EC2
  • CI/CD with Azure DevOps
  • Infrastructure as code: helm, terraform.
  • Rollback management, canary deployment, etc.
  • Event Driven technologies: Kafka, RabbitMQ, Azure Service Bus, Pub Sub, etc.
  • Database knowledge: Azure SQL, PostgreSQL, Redis, Neo4j
  • Hands-on experience on Hadoop
  • Nginx, API Gateway, Azure Front Door, Kong
  • Load balancer, Istio
  • Security tech such as SSL, OWASP, experience with Pent Test, code scanning, etc.
  • Programming knowledge: .Net Core, python, HTML, CSS, JavaScript, JSON, xml
  • O/S: Linux

Interested candidates, please send your updated resume in Words format with recent photograph to us at talents@talentnex.com.

Only shortlisted candidates will be notified.

 

EA Licence No.: 13C6409

 

DevOps Engineer

Responsibilities:

  • Building and supporting code pipelines used to deploy infrastructure and applications in Azure and AWS infrastructure for all production sites for uptime and resiliency metrics.
  • Development of processes, procedures, and automation for application backup/restore, recovery, service optimization/scaling, and security.
  • Build, scale, and secure application cloud infrastructure using tools like Terraform, Azure DevOps, Kubernetes, and Docker.
  • Develop and operate a variety of deployment scenarios, including Cloud-based
  • Research and recommend innovative, and where possible, automate applications infrastructure and administration tasks
  • Advocate and implement industry best practices for configuration management and build/deployment automation

Requirements:

  • Bachelor Degree in Engineering, preferably in IT, Computer Science or relevant discipline
  • Minimum 5 years of experience in DevOps/Systems Administration with two years of experience with cloud-based provisioning, monitoring, and troubleshooting applications.
  • Well verse with Azure and AWS resources and hands-on infrastructure as code. (Having knowledge with Azure is a big plus)
  • Practitioner experience with containerization (Docker & Kubernetes), cloud technologies, tools and practices (CI/CD patterns, automated provisioning & release, GitOps, IaC)
  • Hands-on experience Deploying and managing Highly Available, Scalable and resilient Azure and AWS cloud applications.
  • Expertise on distributed tracking and telemetry like Prometheus, Grafana.
  • Experience with Istio or service mesh related.
  • Experience on .Net Core and REDIS cache is an added advantage

Interested candidates, please send your updated resume in Words format with recent photograph to us at talents@talentnex.com.

Only shortlisted candidates will be notified.

EA Licence No.: 13C6409

DX Solution Architect

DX Solution Architect is responsible for understand the design requirement, solutioning, develop, simulation and integration. This include develop the end-to-end IoT architecture to ensure the scalability, stable performance and also develop documentation. He/She will work closely with pre-sales and engineering team.

Responsibilities

  • Architecture Design
    • Design Cloud Microservices architecture
    • Design cost and performance effective, event driven architecture for IoT Platform
    • Design high scalable, high availability architecture
    • Design multi-tenant architecture
    • Develop Functional Design Document.
    • Design Integration with ServiceNow and JIRA
  •  Security
    • Best Practices, Design end to end security including benchmarking and penetration test.
    • Security such as authentication, authorization, cryptographic, OWASP standard, JWT, etc.
    • Perform Sanity test, security test, pent test with 3rd party, unit integration and other tests.
  • Operation
    • Deployment strategy
    • Performance test
    • DevOps tasks with Azure DevOps as a priority.
    • Deploy CI/CD pipeline – Azure DevOps include detail architecture Helm, etc. And train the Engineer to be able to do it independently to support operation.
    • Exception handling, logging, localization, caching strategy, portability, performance, and transaction management
    • Fault management and notification
  • Development
    • Development standard and best practices.
    • Design technologies based on Business Requirement which cover domain, application persistence, infra and presentation layer.
    • Design logical view, data processing, ETL, standardization, and transformation.
    • Data modelling and mapping
    • Database migration
    • API integration
  • Training
    • Provide DevOps training to the team
    • Provide Development training to the team

Requirements:

  • Minimum a Bachelor Degree in IT/Computer Science with Certification in Azure Architect, AWS Architect or equivalent with 8 years of experience in Microservices and DevOps
  • Must have daily hands-on experience in Azure and AWS
  • Must know Microsoft Azure microservice component and Cloud native
  • Must have the following skills and hands-on experiences:
    • Kubernetes: AKS, EC2
    • CI/CD with Azure DevOps
    • Infrastructure as code: helm, terraform.
    • Rollback management, canary deployment, etc.
    • Event Driven technologies: Kafka, RabbitMQ, Azure Service Bus, Pub Sub etc.
    • Database: NoSQL
    • Database knowledge: PostgreSQL, Redis
    • Hadoop
    • Nginx, API Gateway, Azure Front Door, Kong
    • Load balancer
    • Security tech such as SSL, OWASP, experience with Pent Test, code scanning, etc.
    • Programming: .Net Core, python, knowledgeable on HTML, CSS, JavaScript, JSON, xml
    • O/S: Linux
  • Knowledge and hands-on experience in Graph DB and Neo4J will be added advantage

Interested candidates, please send your updated resume in Words format with recent photograph to us at talents@talentnex.com.

Only shortlisted candidates will be notified.

EA Licence No.: 13C6409

 

DX Technical Architect / DevOps Lead

The role is responsible for understand the design requirement, solutioning, develop the UI, backend code, simulation and integration. This includes working closely DevOps Engineers, Software Engineers and Data Engineers for IoT Solution Development.

Responsibilities:

  • Design architecture software including micro services
  • Develop UI and backend Code
  • Design end to end architecture micros services and automation CI/CD with Azure DevOps
  • Building and supporting code pipelines used to deploy infrastructure and applications in Microsoft Azure and Amazon AWS infrastructure for all production sites for uptime and resiliency metrics.
  • Development of processes, procedures, and automation for application backup/restore, recovery, service optimization/scaling, and security.
  • Build, scale, and secure application cloud infrastructure using tools like Terraform, Azure DevOps, Kubernetes, and Docker.
  • Develop and operate a variety of deployment scenarios, including Cloud-based, on-premise infrastructure as well as IoT platforms
  • Research and recommend innovative, and where possible, automate applications infrastructure and administration tasks
  • Advocate and implement industry best practices for configuration management and build/deployment automation
  • Develop documentation as applicable

Requirements:

  • Minimum a Bachelor Degree in IT/Computer Science with Certification in Azure Architect, AWS Architect or equivalent
  • Minimum 5 years of experience in DevOps/Systems Administration with 2 years of experience with cloud-based provisioning, monitoring, and troubleshooting applications
  • Must have some years of hands-on Development skills such as:
    • Net core:
    • Database: Postgresql or SQL Server,
    • Cloud technology:
      • Azure: Azure Function, Azure SQL database, Logic App
      • AWS: Lambda Function, Step function, RDS
    • Must have at least 1 to 2 years of hands-on experience of the following Operations skills:
      • Shell script: bash, zsh
      • OS: Linux
      • IaC: terraform
      • Container Orchestration: Kubernetes
      • K8s Package manager: helm
      • Cloud platform: Azure, AWS, GCP or Alibaba,
      • Security
  •  Hands-on experience Deploying and managing Highly Available, Scalable and resilient AWS cloud applications
  •  Expertise on distributed tracking and telemetry like Prometheus, Grafana
  •  Experience with Istio or service mesh related

Interested candidates, please send your updated resume in Words format with recent photograph to us at talents@talentnex.com.


Only shortlisted candidates will be notified.

 

EA Licence No.: 13C6409

 

 

 

 

Data Scientist

Responsibilities:

  • Analyse the sensor data, image, video etc. for, not limited to pre-processing, prediction, forecast, anomaly detection, classification, recognition etc. by developing suitable ML algorithms and methodologies.
  • Write Web API which could publish the result with continuous live data
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques
  • Use optimization algorithms to optimize the parameters to minimize or maximize the target KPI.
  • Develop company testing framework and test model quality
  • Coordinate with different functional teams in technical support and solution development

Requirements:

  • Minimum a Degree in relevant discipline.
  • At least 5 years of relevant working experience as Data Scientist
  • Hands-on experience with data and gathering techniques
  • Hand-on development of Web API is MUST
  • Strong hands-on experience on reinforcement learning, supervised learning and unsupervised learning
  • Experience working on OT Industries, hands-on experience in Video and Image processing are value added.
  • Industrial domain knowledge such as pump, compressor, etc will be a strong advantage
  • A highly motivated self-starter who possess a positive mindset, proactive and good communication skills
  • Ability to work in a fast-paced and dynamic environment

Interested candidates, please send your updated resume in Words format with recent photograph to us at talents@talentnex.com.

Only shortlisted candidates will be notified.

 

EA Licence No.: 13C6409