DevOps- / AWS Cloud Engineer

vor 3 Wochen

Zug, Zug, Schweiz Randstad Vollzeit
Jobdescription
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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