Adesso India specialises in optimization of core business processes for organizations. Adesso India focus on providing state-of-the-art solutions that streamline operations and elevate productivity to new heights.
Comprised of a team of industry experts and experienced technology professionals, ensure that software development and implementations are reliable, robust, and seamlessly integrated with the latest technologies. By leveraging extensive knowledge and skills, empower businesses to achieve their objectives efficiently and effectively.
We are looking for a highly experienced Senior or Lead Backend Engineer with a strong background in Java software development, cloud architecture, and DevOps practices. The ideal candidate will have deep hands-on experience in Java-based microservice frameworks such as Spring or Quarkus, serverless technologies such as AWS Lambda, Azure Functions or Google Cloud Functions, container orchestration, and CI/CD automation, along with a strong foundation in modern programming languages.
Responsibilities:
Cloud-Native Development – Serverless Focus: proficient in modern Java, extensive experience in developing Java cloud applications, with a focus on microservice frameworks and serverless architectures.
Extensive hands-on experience with the Spring or Quarkus framework.
Proficiency with the cloud services of at least one hyperscaler, such as:
AWS Lambda, Amazon API Gateway, Amazon DynamoDB, Amazon S3, CloudWatch, and Amazon SNS/ Amazon SQS.
Azure Functions, Azure API Management, Azure Cosmos DB, Azure Storage, Azure Application Insights and Azure Event Grid / Azure Service Bus
Google Cloud Functions, Apigee, Cloud Datastore, Cloud Storage, Stackdriver Monitoring and Cloud Pub/Sub
Experienced in design and development of scalable, secure, and reliable cloud-native applications on AWS, Azure or Google Cloud.
Infrastructure as Code (IaC): Practical experience in managing infrastructure using Terraform, applying best practices in modularization, version control, and reuse.
Committed to applying Clean Code principles, SOLID design principles, and automated testing (both unit and integration) to ensure high-quality code.
Usage of containerised environments using Kubernetes or OpenShift.
Usage of CI/CD pipelines using tools such as GitLab CI, GitHub Actions, Jenkins or ArgoCD.
Collaborate with cross-functional teams to deliver high-quality, production-ready solutions.
Provide mentorship to junior developers and participate in code and architecture reviews.
Focus on maintainability and performance: Dedicated to delivering solutions that prioritize maintainability, performance, and clarity of implementation.
Optimize and monitor applications and infrastructure performance using modern observability tools like Datadog.
Qualifications:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
AWS, Azure or Google Cloud certifications (e.g., Solutions Architect, Developer) desirable.
Strong communication and leadership skills.
Proficiency in Java programming language and extensive hands-on experience with the Spring or Quarkus framework.
Strong hands-on experience with Serverless technologies (e.g., AWS Lambda, Azure Functions, Google Cloud Functions).
Deep knowledge of databases such as PostgreSQL, MySQL, Maria DB, Amazon RDS, Amazon DynamoDB, Azure SQL Database, Azure Cosmos DB, Google Cloud SQL, Google Cloud Datastore.
Experience with developer tools such as Git, Jira, and Confluence
Solid understanding of containerization using Kubernetes, AWS EKS/ECS, Azure AZS, Google GKE.
Infrastructure as Code using Terraform.
Proven experience in CI/CD pipelines using GitLab CI, GitHub, Jenkins, ArgoCD, or similar.
Experience with Single Sign-On (SSO) technologies like OAuth2, OpenID Connect, JWT, or SAML.
Cloud Networking components like Amazon API Gateway, Azure API Management or Apigee.
Cloud Storage services including Amazon S3, Azure Storage or Google Cloud Storage.
Exposure to Cloud AI/ML services such as Amazon SageMaker, Amazon Bedrock, Azure Machine Learning, Azure AI Services or Google Vertex AI.
Use of HashiCorp Vault for secrets management.
Kafka messaging platforms or other event and messaging platforms.
Experience with monitoring tools such as Datadog, Dynatrace, Amazon CloudWatch, Azure Application Insights or Google Stackdriver Monitoring.
Understanding of FinOps and cloud cost optimization.
Working knowledge of Linux operating systems and shell scripting.
Java, Spring, Quarkus, Microservices, Serverless Architectures, AWS Lambda, Azure Functions, Google Cloud Functions, Kubernetes, Terraform, Infrastructure As Code, CI/CD, GitLab CI, GitHub Actions, Jenkins, ArgoCD, PostgreSQL, MySQL, Cloud Storage, Cloud Networking, OAuth2, OpenID Connect, JWT, SAML, Monitoring Tools, Linux, Shell Scripting, Git