Staff Software Engineer

Role & responsibilities

Minimum Qualifications

• 7+ years of professional software engineering experience, including experience building enterprise-scale software products.
• Strong hands-on proficiency in Java, backend service development, object-oriented design, concurrency, performance tuning, and modern Java frameworks.
• Strong experience with database technologies, SQL, schema design, indexing, query optimization, transaction management, and database performance troubleshooting.
• Experience designing and developing distributed systems, microservices, REST APIs, event-driven components, and cloud-native applications.
• Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
• Strong understanding of observability, monitoring, logging, tracing, metrics, alerting, and production diagnostics.
• Experience troubleshooting complex technical issues across application, database, infrastructure, and integration layers.
• Strong understanding of performance engineering, including profiling, load testing, caching, query tuning, and scalability analysis.
• Ability to learn new technologies quickly and apply them effectively in production-grade software development.
• Practical understanding of AI-assisted engineering tools, AI agents, and emerging automation capabilities.
• Strong communication, collaboration, problem-solving, and mentoring skills.

Preferred candidate profile :

• Experience working on large-scale enterprise SaaS products serving global customers.
• Experience contributing to technical roadmaps, platform modernization, cloud transformation, or technology stack evolution.
• Experience with Kubernetes, containers, CI/CD pipelines, DevOps practices, and Infrastructure as Code.
• Hands-on experience with observability tools such as OpenTelemetry, Grafana, Prometheus, Kibana, Splunk, Datadog, or similar platforms.
• Experience with distributed caching, messaging platforms, asynchronous processing, and event-driven architecture.
• Strong understanding of secure software development, authentication, authorization, data protection, and enterprise integration patterns.
• Experience using AI coding assistants, engineering agents, intelligent automation, or AI-enabled operational tooling.
• Demonstrated ability to mentor engineers while remaining deeply hands-on in design, coding, debugging, and delivery.