DevOps- / AWS Cloud Engineer.

  • Zug, Zug
  • publié il y a 1 jour
  • se termine 30 avril 2025
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détails du poste

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détails du poste
Key Responsibilities:
Software Development & Implementation:
  • Develop and implement backend services for the IoT data ingestion and streaming pipeline using Go and Java (Apache Flink).
  • Design and implement efficient, scalable, and secure APIs using AWS API Gateway & Lambda.
  • Ensure adherence to best practices, including clean code, performance optimization, and test-driven development.
Cloud & Infrastructure Management:
  • Develop and maintain infrastructure using Infrastructure as Code (IaC) principles, leveraging Terraform.
  • Implement event-driven architectures with AWS Kinesis, DynamoDB Streams, and Lambda.
  • Optimize storage and retrieval of large-scale IoT data using DynamoDB and S3.
DevOps & CI/CD:
  • Work with GitLab for source code management and ensure CI/CD pipeline automation.
  • Implement best practices for logging, monitoring, and alerting using AWS CloudWatch and other monitoring tools.
  • Setup overall system performance monitoring dashboards using tools such as logz.io, OpenSearch or Grafana
  • Ensure high availability, scalability, and fault tolerance of backend services.
System Analysis & Collaboration:
  • Analyze functional and non-functional requirements to drive architecture decisions.
  • Participate in design discussions, sprint planning, and code reviews.
  • Ensure timely delivery of high-quality software that meets industry standards.
Required Skills & Qualifications:
  • Programming Languages: Proficiency in Go and Java.
  • Cloud Services: Strong experience with  AWS Lambda, API Gateway, Kinesis, DynamoDB, S3, and CloudWatch.
  • Databases: Experience with NoSQL (DynamoDB, MongoDB) and SQL databases.
  • Infrastructure as Code: Hands-on experience with Terraform or AWS CloudFormation.
  • DevOps & CI/CD: Experience with GitLab CI/CD pipelines, deployment automation, and configuration management.
  • Microservices & Event-Driven Architecture: Experience designing and implementing scalable microservices.
  • Security & Performance Optimization: Strong understanding of API security best practices, IAM policies, and performance tuning.
Preferred Qualifications:
  • Experience with IoT data ingestion, message queues (Kafka, MQTT), and event-driven architectures.
  • Knowledge of real-time data processing and analytics frameworks.
  • Prior experience in high-availability and low-latency applications.
  • Familiarity with Apache Flink or Kafka as streaming technologies.
  • Experience with writing RESTful APIs and understanding of Web of Things (WoT).
Key Responsibilities:
Software Development & Implementation:
  • Develop and implement backend services for the IoT data ingestion and streaming pipeline using Go and Java (Apache Flink).
  • Design and implement efficient, scalable, and secure APIs using AWS API Gateway & Lambda.
  • Ensure adherence to best practices, including clean code, performance optimization, and test-driven development.
Cloud & Infrastructure Management:
  • Develop and maintain infrastructure using Infrastructure as Code (IaC) principles, leveraging Terraform.
  • Implement event-driven architectures with AWS Kinesis, DynamoDB Streams, and Lambda.
  • Optimize storage and retrieval of large-scale IoT data using DynamoDB and S3.
DevOps & CI/CD:
  • Work with GitLab for source code management and ensure CI/CD pipeline automation.
  • Implement best practices for logging, monitoring, and alerting using AWS CloudWatch and other monitoring tools.
  • Setup overall system performance monitoring dashboards using tools such as logz.io, OpenSearch or Grafana
  • Ensure high availability, scalability, and fault tolerance of backend services.
System Analysis & Collaboration:
  • Analyze functional and non-functional requirements to drive architecture decisions.
  • Participate in design discussions, sprint planning, and code reviews.
  • Ensure timely delivery of high-quality software that meets industry standards.
Required Skills & Qualifications:
  • Programming Languages: Proficiency in Go and Java.
  • Cloud Services: Strong experience with  AWS Lambda, API Gateway, Kinesis, DynamoDB, S3, and CloudWatch.
  • Databases: Experience with NoSQL (DynamoDB, MongoDB) and SQL databases.
  • Infrastructure as Code: Hands-on experience with Terraform or AWS CloudFormation.
  • DevOps & CI/CD: Experience with GitLab CI/CD pipelines, deployment automation, and configuration management.
  • Microservices & Event-Driven Architecture: Experience designing and implementing scalable microservices.
  • Security & Performance Optimization: Strong understanding of API security best practices, IAM policies, and performance tuning.
Preferred Qualifications:
  • Experience with IoT data ingestion, message queues (Kafka, MQTT), and event-driven architectures.
  • Knowledge of real-time data processing and analytics frameworks.
  • Prior experience in high-availability and low-latency applications.
  • Familiarity with Apache Flink or Kafka as streaming technologies.
  • Experience with writing RESTful APIs and understanding of Web of Things (WoT).
Key Responsibilities:
Software Development & Implementation:
  • Develop and implement backend services for the IoT data ingestion and streaming pipeline using Go and Java (Apache Flink).
  • Design and implement efficient, scalable, and secure APIs using AWS API Gateway & Lambda.
  • Ensure adherence to best practices, including clean code, performance optimization, and test-driven development.
Cloud & Infrastructure Management:
  • Develop and maintain infrastructure using Infrastructure as Code (IaC) principles, leveraging Terraform.
  • Implement event-driven architectures with AWS Kinesis, DynamoDB Streams, and Lambda.
  • Optimize storage and retrieval of large-scale IoT data using DynamoDB and S3.
DevOps & CI/CD:
  • Work with GitLab for source code management and ensure CI/CD pipeline automation.
  • Implement best practices for logging, monitoring, and alerting using AWS CloudWatch and other monitoring tools.
  • Setup overall system performance monitoring dashboards using tools such as logz.io, OpenSearch or Grafana
  • Ensure high availability, scalability, and fault tolerance of backend services.
System Analysis & Collaboration:
  • Analyze functional and non-functional requirements to drive architecture decisions.
  • Participate in design discussions, sprint planning, and code reviews.
  • Ensure timely delivery of high-quality software that meets industry standards.
Required Skills & Qualifications:
  • Programming Languages: Proficiency in Go and Java.
  • Cloud Services: Strong experience with  AWS Lambda, API Gateway, Kinesis, DynamoDB, S3, and CloudWatch.
  • Databases: Experience with NoSQL (DynamoDB, MongoDB) and SQL databases.
  • Infrastructure as Code: Hands-on experience with Terraform or AWS CloudFormation.
  • DevOps & CI/CD: Experience with GitLab CI/CD pipelines, deployment automation, and configuration management.
  • Microservices & Event-Driven Architecture: Experience designing and implementing scalable microservices.
  • Security & Performance Optimization: Strong understanding of API security best practices, IAM policies, and performance tuning.
Preferred Qualifications:
  • Experience with IoT data ingestion, message queues (Kafka, MQTT), and event-driven architectures.
  • Knowledge of real-time data processing and analytics frameworks.
  • Prior experience in high-availability and low-latency applications.
  • Familiarity with Apache Flink or Kafka as streaming technologies.
  • Experience with writing RESTful APIs and understanding of Web of Things (WoT).
Key Responsibilities:
Software Development & Implementation:
  • Develop and implement backend services for the IoT data ingestion and streaming pipeline using Go and Java (Apache Flink).
  • Design and implement efficient, scalable, and secure APIs using AWS API Gateway & Lambda.
  • Ensure adherence to best practices, including clean code, performance optimization, and test-driven development.
Cloud & Infrastructure Management:
  • Develop and maintain infrastructure using Infrastructure as Code (IaC) principles, leveraging Terraform.
  • Implement event-driven architectures with AWS Kinesis, DynamoDB Streams, and Lambda.
  • Optimize storage and retrieval of large-scale IoT data using DynamoDB and S3.
DevOps & CI/CD:
  • Work with GitLab for source code management and ensure CI/CD pipeline automation.
  • Implement best practices for logging, monitoring, and alerting using AWS CloudWatch and other monitoring tools.
  • Setup overall system performance monitoring dashboards using tools such as logz.io, OpenSearch or Grafana
  • Ensure high availability, scalability, and fault tolerance of backend services.
System Analysis & Collaboration:
  • Analyze functional and non-functional requirements to drive architecture decisions.
  • Participate in design discussions, sprint planning, and code reviews.
  • Ensure timely delivery of high-quality software that meets industry standards.
Required Skills & Qualifications:
  • Programming Languages: Proficiency in Go and Java.
  • Cloud Services: Strong experience with  AWS Lambda, API Gateway, Kinesis, DynamoDB, S3, and CloudWatch.
  • Databases: Experience with NoSQL (DynamoDB, MongoDB) and SQL databases.
  • Infrastructure as Code: Hands-on experience with Terraform or AWS CloudFormation.
  • DevOps & CI/CD: Experience with GitLab CI/CD pipelines, deployment automation, and configuration management.
  • Microservices & Event-Driven Architecture: Experience designing and implementing scalable microservices.
  • Security & Performance Optimization: Strong understanding of API security best practices, IAM policies, and performance tuning.
Preferred Qualifications:
  • Experience with IoT data ingestion, message queues (Kafka, MQTT), and event-driven architectures.
  • Knowledge of real-time data processing and analytics frameworks.
  • Prior experience in high-availability and low-latency applications.
  • Familiarity with Apache Flink or Kafka as streaming technologies.
  • Experience with writing RESTful APIs and understanding of Web of Things (WoT).

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