Technical Lead - Cloud Backend Developer

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.

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.