Job description

Role & responsibilities :

Minimum Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
7+ years of qualified 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 up-to-date 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.
Robust 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.

📌 Staff Software Engineer Bengaluru (India)
🏢 Ukg
📍 India