DevOps- / AWS Cloud Engineer.

  • Zug, Zug
  • posted 1 day ago
  • closes 30 April 2025
apply

job details

summary.

  • specialism
    it
  • contact
    Nico Neudert
  • reference number
    23196

speed up the application by sharing your profile

job details
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).

share this job.

get in touch.

we are here to help you with your questions.

NN

Nico Neudert

the application process.

See what comes ahead in the application process. Find out how we help you land that job.

related jobs.

see all jobs

  • Digital Solution Test Engineer / Systems Engineer

    • Rotkreuz, Zug
    • Contract
    Tasks and responsibilities:• Support IT integration in solution environments, including laboratory instruments, cloud and on-premise configurations.• Design and execute test cases for IT product validations. Mainly manual test campaigns in the lab with room for including automated validations.• Maintain and optimize testing infrastructure, including virtual machines, edge, and cloud configurations.• Perform root cause analysis, documentation of test result
    posted 20 November 2024
    Tasks and responsibilities:• Support IT integration in solution environments, including laboratory instruments, cloud and on-premise configurations.• Design and execute test cases for IT product validations. Mainly manual test campaigns in the lab with room for including automated validations.• Maintain and optimize testing infrastructure, including virtual machines, edge, and cloud configurations.• Perform root cause analysis, documentation of test result
    show job details

Thank you for subscribing to your personalised job alerts.