Software Engineer

Role & responsibilities

• Design and develop scalable backend services, platform components, and middleware systems using Java and related technologies
• Build reliable and maintainable APIs, distributed services, and cloud-native applications for large-scale SaaS environments
• Write clean, efficient, and maintainable code following engineering best practices
• Participate in architecture discussions, design reviews, performance optimization, scalability improvements, and reliability initiatives
• Build reusable frameworks, libraries, tools, and developer utilities to improve engineering productivity
• Collaborate with architects, DevOps, and engineering teams to support CI/CD, observability, and operational excellence
• Troubleshoot distributed systems issues across services, databases, messaging systems, and cloud infrastructure
• Participate in code reviews, debugging, root cause analysis, and production support activities
• Contribute to system reliability, resiliency, monitoring, and operational visibility across platform services
• Follow engineering best practices, coding standards, and continuous improvement initiatives
• Explore and adopt modern engineering tools and productivity practices where applicable

Preferred candidate profile

Required Skills & Experience

• 1-5 years of hands-on experience in backend software development for SaaS products or distributed systems
• Strong programming skills in Java with a good understanding of object-oriented design principles, data structures, concurrency, and system design fundamentals
• Experience building RESTful APIs, microservices, and distributed applications
• Experience with messaging technologies such as Kafka, RabbitMQ, JMS, or similar systems
• Exposure to CI/CD pipelines and DevOps practices using tools such as Jenkins, GitLab, Docker, Kubernetes, or Helm
• Strong understanding of databases, SQL optimization, and data modeling concepts
• Exposure to NoSQL technologies such as Cassandra, MongoDB, or Redis
• Familiarity with cloud platforms such as AWS, Azure, or private cloud environments
• Strong debugging, troubleshooting, and analytical problem-solving skills
• Understanding of scalability, resiliency, observability, and production-grade system design concepts

Preferred Qualifications

• Experience working on cloud security, cybersecurity, or enterprise SaaS platforms
• Exposure to performance engineering and observability tools
• Experience contributing to large-scale distributed systems and cloud-native platforms
• Interest in AI-assisted development tools such as Cursor, Windsurf, Claude Code, GitHub Copilot, or similar platforms
• Basic understanding of emerging AI engineering concepts such as MCP integrations, agentic workflows, RAG pipelines, AI-powered developer tooling, or LLM-based automation
• Understanding of SRE concepts and production reliability engineering

Education

• Bachelors or Master’s degree in Computer Science, Engineering, or equivalent practical experience