Senior Software Engineer

implement scalable, efficient, and maintainable backend services using Golang or Python. - Ensure that the code adheres to high-quality standards (e.g., readability, scalability, maintainability).

• API Development:

  • Design, build, and maintain RESTful APIs or gRPC services that are well-documented and performant.
  • Integrate external APIs and third-party services when required.

• Database Design and Management:

  • Work with SQL or NoSQL databases, optimize queries, and handle schema design.
  • Design data models that efficiently store and retrieve data in high-traffic systems.

• Microservices Development:

  • Develop microservices-based architectures that communicate through API or event-driven systems.
  • Ensure microservices are fault-tolerant, scalable, and follow industry-standard best practices.

• Testing and Debugging:

  • Write unit tests, integration tests, and perform thorough debugging to ensure smooth operation in production.
  • Utilize automated testing frameworks to ensure software quality.

• Cloud Infrastructure and DevOps:

  • Experience with cloud platforms (AWS, GCP, Azure) and deployment models (e.g., Docker, Kubernetes).
  • Work with continuous integration/continuous deployment (CI/CD) pipelines to automate testing and deployment.

• Code Optimization:

  • Optimize code for performance, scaling, and resource efficiency.

  • Implement best practices for code maintainability, including design patterns and clean code principles.

Skills, Experience and Requirements

Skills and Experience

Backend Development

• API Development:

  • Expertise in building robust and scalable REST and gRPC APIs using frameworks like Flask, Django (for Python) or Golang Mux (for Go).
  • Experience designing API contracts, managing API versioning, and optimizing API performance.

• ORM Frameworks:

  • Strong experience with ORM (Object Relational Mapping) tools for database interactions, such as SQLAlchemy for Python or Go's GORM.

Databases

• AWS DynamoDB:

  • Experience working with DynamoDB including designing scalable data models, indexing strategies, and performance optimization.
  • Understanding of DynamoDB Streams for real-time data processing.

• SQL and NoSQL Databases:

  • Expertise in both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Redis) databases.
  • Knowledge of data modeling, query optimization, and database tuning for high-traffic systems.

• OpenSearch / Elasticsearch:

  • Familiarity with AWS OpenSearch or Elasticsearch for implementing efficient full-text search and analytics capabilities.
  • Experience with setting up and managing indexes, performance tuning, and monitoring cluster health.

• Redis and Elasticache:

  • Hands-on experience with Redis for caching and Elasticache for in-memory data storage and retrieval to optimize performance.

• Apache Kafka:

  • Strong experience with Kafka for building event-driven systems and message brokering, including designing consumers, producers, and managing Kafka clusters.

Cloud Infrastructure (AWS)

• AWS Services:
  • API Gateway: Proficiency in using AWS API Gateway to expose backend services securely and efficiently.
  • Route 53: Experience with Route 53 for DNS management and routing traffic across different services.
  • Elastic Container Service (ECS) or Elastic Kubernetes Service (EKS) for deploying containerized applications.
• CI/CD Pipelines:

  • Experience with CI/CD pipeline flows, automating testing and deployment processes using tools like Jenkins, GitLab CI, or AWS CodePipeline.

  • Building pipelines that automate unit testing, integration testing, and production deployment, ensuring smooth and fast releases.

Containerization and Orchestration

• Dockerization:
  • Expertise in creating Docker containers for consistent development environments and smooth deployment to various environments (development, testing, production).
• Kubernetes:

  • Proficiency with Kubernetes for orchestrating containers, scaling microservices, managing clusters, and ensuring high availability.

  • Experience with Kubernetes deployments, config maps, secrets, and persistent volumes.

Programming Languages and Frameworks

• Python:

  • Strong skills in Python, with experience in Flask and Django for web development, API development, and microservices.
  • Deep knowledge of Python concurrency features (asyncio, threading) for building efficient applications.

• Golang:

  • Proficiency in Golang, particularly for backend services, with experience using Mux for API routing and handling.

  • Familiarity with Golang's ORM libraries like GORM to interact with databases.

Networking and Infrastructure Management

• Experience in managing network protocols (e.g., HTTP, HTTPS, TCP/IP), and working with load balancers, firewalls, and DNS routing.

• Familiarity with API security, implementing authentication and authorization strategies (OAuth2, JWT).

DevOps and Monitoring

• Logging and Monitoring:
  • Experience with logging frameworks and monitoring tools (e.g., Prometheus, Grafana, ELK stack) to ensure uptime and quickly troubleshoot issues.
• Infrastructure as Code (IaC):

  • Familiar with Terraform or AWS CloudFormation to automate the provisioning of cloud resources.

Soft Skills

• Problem-Solving:

  • Strong analytical and problem-solving abilities, capable of diagnosing and resolving complex production issues quickly.

• Communication:

  • Excellent verbal and written communication skills to collaborate with cross-functional teams, stakeholders, and clients.

• Leadership and Mentoring:

  • Experience mentoring junior engineers, conducting code reviews, and leading projects or features end-to-end.

Requirements

• Experience:

  • 3-5 years of experience in backend development with a focus on building scalable APIs.
  • Hands-on experience with distributed systems, microservices architecture, and cloud-native application development.

• Cloud Experience:

  • In-depth knowledge of AWS services, especially DynamoDB, Elasticsearch/OpenSearch, Elasticache, and API Gateway.

• Backend Technologies:

  • Proficiency in Python and Golang, with experience building web applications and services in Flask, Django, and Golang Mux.

• Database Management:

  • Deep understanding of both SQL and NoSQL databases, including database optimization, indexing, and data retrieval strategies.

• CI/CD:

  • Proven experience in designing and managing CI/CD pipelines to streamline code deployment processes.

• Containerization and Kubernetes:

  • Expertise in Docker and Kubernetes for container management and microservices orchestration.

This combination of technical skills and hands-on experience with modern cloud and backend technologies ensures that a senior engineer can build highly scalable, secure, and maintainable applications for any organization.

Benefits

• Employee Stock Purchase
• Term Insurance
• Accident Insurance
• Health Insurance
• Training Reimbursement
• Gratuity
• Mobile and Internet Reimbursement
• Team Outings