Softpath Technologies - Cloud Engineer

Job Title : Cloud Engineer Backend

Experience : 8+ Years

Location : Pune / Bangalore / Hyderabad

Work Mode : Hybrid / Office (as applicable)

Job Summary :

We are looking for an experienced Cloud Engineer Backend to design, develop, and maintain highly scalable, cloud-native backend systems. The ideal candidate will have deep expertise in Java, Spring Boot, Microservices architecture, and strong hands-on experience with GCP (preferred) or AWS, including containerization, Kubernetes, and modern DevOps practices. This role involves building high-performance, distributed systems and driving cloud-native transformation initiatives.

Key Responsibilities :

Backend Development & Microservices :

- Design, develop, and maintain enterprise-grade backend applications using Java (latest JDK versions) and Spring Boot.

- Build and manage microservices-based architectures, ensuring scalability, resilience, and high availability.

- Implement multithreading and concurrent programming to improve system performance and throughput.

- Lead or contribute to monolith-to-microservices migrations, applying best practices and patterns.

- Develop and maintain RESTful APIs, and work with GraphQL and gRPC where applicable.

Cloud & Containerization :

- Design and deploy applications on Google Cloud Platform (GCP) (preferred) or AWS, leveraging managed cloud services.

- Work extensively with GKE (Google Kubernetes Engine) or Kubernetes on AWS for container orchestration.

- Implement cloud-native development practices aligned with 12-factor app principles.

- Build and maintain Infrastructure as Code (IaC) using tools such as Terraform, Deployment Manager, or CloudFormation.

- Ensure high availability, fault tolerance, and disaster recovery for cloud-based systems.

Data & Messaging Systems :

- Design and integrate with SQL and NoSQL databases, ensuring optimal data modeling and performance.

- Work with Cloud Spanner (preferred) or equivalent distributed databases.

- Implement caching strategies using Redis to enhance performance.

- Build and maintain event-driven architectures using Kafka for messaging and streaming use cases.

- Ensure data consistency, reliability, and scalability across distributed systems.

API Management & Security :

- Develop secure and scalable APIs with features such as authentication, authorization, throttling, caching, and logging.

- Implement API security best practices including OAuth2, JWT, and role-based access control.

- Monitor API performance and usage through analytics and logging tools.

- Optimize request/response flows and ensure backward compatibility.

DevOps & CI/CD :

- Design and maintain CI/CD pipelines for automated build, test, and deployment.

- Work closely with DevOps teams to enable continuous integration, continuous delivery, and continuous deployment.

- Apply Agile and DevOps methodologies, participating in sprint planning, code reviews, and retrospectives.

- Ensure application observability using logging, monitoring, and alerting tools.

Collaboration & Leadership :

- Collaborate with product managers, architects, and cross-functional teams to translate business requirements into technical solutions.

- Participate in design reviews and provide technical guidance and mentoring to junior engineers.

- Use tools like Jira, Confluence, Rally, or similar for project tracking and documentation.

- Contribute to architectural decisions and drive best practices across engineering teams.

Required Skills & Qualifications :

Experience :

- 8+ years of software development experience in enterprise or web applications.

- 8+ years of hands-on experience in Java-based backend development.

- 5+ years of experience with public cloud platforms such as GCP (preferred) or AWS.

- 5+ years of experience working in Agile environments, using tools like Jira and Confluence.

Technical Skills :

- Expert-level proficiency in Java, Spring Framework, and Spring Boot.

- Strong experience with microservices architecture and design patterns.

- Hands-on experience with Kafka, Redis, and distributed messaging systems.

- Experience with Kubernetes, Docker, and container orchestration platforms.

- Strong database knowledge (SQL and NoSQL), including schema design and data relationships.

- Experience with Cloud Spanner or other distributed cloud databases.

- Familiarity with GraphQL and gRPC.

- Solid understanding of API lifecycle management, security, and performance optimization.

- Strong understanding of cloud-native development practices and 12-factor app principles.

Nice-to-Have :

- Experience with AWS services if GCP exposure is limited.

- Knowledge of observability tools (Prometheus, Grafana, Stackdriver, CloudWatch).

- Experience with serverless architectures and event-driven systems.

- Exposure to performance tuning and high-throughput systems.