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Technical Lead - Cloud Backend Developer

7 days ago 2026/08/21
Other Business Support Services
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Job description

Aufgaben

Key Responsibilities


  • Design, develop, and maintain RESTful APIs and microservices using Java (Spring Boot) or Golang.
  • Implement scalable and resilient backend solutions hosted on Azure or AWS Cloud.
  • Collaborate with front-end engineers, data engineers, and DevOps teams to deliver end-to-end solutions.
  • Optimize application performance by tuning database queries, caching, and load balancing strategies.
  • Ensure security best practices for APIs, authentication, and authorization (OAuth2, JWT, etc.).
  • Develop CI/CD pipelines using tools like Azure DevOps, GitHub Actions, or AWS CodePipeline.
  • Work with containerization and orchestration tools (Docker, Kubernetes, ECS, AKS, EKS).
  • Implement monitoring and logging using tools like CloudWatch,Azure Log Analytics and  Azure Monitor, Datadog, or ELK.
  • Participate in Agile/Scrum ceremonies, code reviews, and provide mentorship to junior developers.
  • Ensure compliance with coding standards, best practices, and cloud-native architectures.

Required Skills & Qualifications


  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  • 5–7 years of backend development experience.
  • Strong expertise in Java (Spring Boot) or Golang for building microservices and APIs.
  • Hands-on experience with Azure (Functions, AKS, ADLS, Cosmos DB, Service Bus) or AWS (Lambda, ECS, S3, DynamoDB, SQS/SNS, RDS, API Gateway).
  • Strong knowledge of REST APIs, gRPC, and event-driven architecture.
  • Experience with SQL/NoSQL databases (PostgreSQL, MySQL, MongoDB, DynamoDB, Cosmos DB).
  • Proficiency in CI/CD pipelines, version control (Git), and Infrastructure as Code (Terraform, CloudFormation, ARM templates).
  • Familiarity with observability tools (Grafana, Datadog, ELK stack, Cloud-native monitoring).
  • Understanding of message brokers/streaming platforms (Kafka, Kinesis, Event Hub).
  • Solid understanding of software engineering principles: OOP, design patterns, and system design.

Nice to Have


  • Experience with serverless architectures (AWS Lambda / Azure Functions).
  • Exposure to DevSecOps practices and cloud security.
  • Familiarity with GraphQL or API gateways (Kong, Apigee, API Management).
  • Knowledge of Data Engineering / Big Data tools (Spark, Databricks, Glue) is a plus.
Qualifikationen

Key Responsibilities


  • Design, develop, and maintain RESTful APIs and microservices using Java (Spring Boot) or Golang.
  • Implement scalable and resilient backend solutions hosted on Azure or AWS Cloud.
  • Collaborate with front-end engineers, data engineers, and DevOps teams to deliver end-to-end solutions.
  • Optimize application performance by tuning database queries, caching, and load balancing strategies.
  • Ensure security best practices for APIs, authentication, and authorization (OAuth2, JWT, etc.).
  • Develop CI/CD pipelines using tools like Azure DevOps, GitHub Actions, or AWS CodePipeline.
  • Work with containerization and orchestration tools (Docker, Kubernetes, ECS, AKS, EKS).
  • Implement monitoring and logging using tools like CloudWatch,Azure Log Analytics and  Azure Monitor, Datadog, or ELK.
  • Participate in Agile/Scrum ceremonies, code reviews, and provide mentorship to junior developers.
  • Ensure compliance with coding standards, best practices, and cloud-native architectures.

Required Skills & Qualifications


  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  • 5–7 years of backend development experience.
  • Strong expertise in Java (Spring Boot) or Golang for building microservices and APIs.
  • Hands-on experience with Azure (Functions, AKS, ADLS, Cosmos DB, Service Bus) or AWS (Lambda, ECS, S3, DynamoDB, SQS/SNS, RDS, API Gateway).
  • Strong knowledge of REST APIs, gRPC, and event-driven architecture.
  • Experience with SQL/NoSQL databases (PostgreSQL, MySQL, MongoDB, DynamoDB, Cosmos DB).
  • Proficiency in CI/CD pipelines, version control (Git), and Infrastructure as Code (Terraform, CloudFormation, ARM templates).
  • Familiarity with observability tools (Grafana, Datadog, ELK stack, Cloud-native monitoring).
  • Understanding of message brokers/streaming platforms (Kafka, Kinesis, Event Hub).
  • Solid understanding of software engineering principles: OOP, design patterns, and system design.

Nice to Have


  • Experience with serverless architectures (AWS Lambda / Azure Functions).
  • Exposure to DevSecOps practices and cloud security.
  • Familiarity with GraphQL or API gateways (Kong, Apigee, API Management).
  • Knowledge of Data Engineering / Big Data tools (Spark, Databricks, Glue) is a plus.
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