Staff Software Engineer
- Posted 13 days ago
- Be among the first 10 applicants
Job Description
- Hands-on experience using AI-assisted development tools (e.g., Claude Code, Devin, Windsurf, or similar) in a professional setting, with genuine enthusiasm for applying AI to accelerate and elevate day-to-day engineering work.
- 8+ years of professional software engineering/development experience
- Extensive hands-on experience and expertise in object-oriented design methodology and application development using Java/J2EE, Design Patterns,DSA, Multithreading, Spring MVC, SQL, Web services.
- Experience with elastic search and data streaming tools like Kafka.
- Good understanding of web services and SOA related standards like REST/OAuth/JSON.
- Agile development (Scrum, XP, or Pair Programming) experience
- Ability to use a wide variety of open-source technologies and cloud services (Azure, Google Computer, or Amazon Web Services)
- Familiarity with public cloud providers such as (Azure, Google Cloud, or AWS)
- Proficiency in Kubernetes, including cluster deployment, scaling, and management is highly desirable.
More Info
Key Skills
AI-assisted development tools
Open-source technologies
About Company
Skills:
Site Reliability Engineering (SRE), Java, Software Development, C++, Big Data, Distributed Systems, Incident Management, Software Engineering, Python, cloud networking, compute technologies, LLMs, software infrastructure engineering, Go, anomaly detection, Monitoring, alerting, Analytics, large-scale infrastructure, Security, AI-assisted developer workflows, Hardware Architecture
Skills:
multi-threading, MVVM, Objective-c, Concurrent Programming, Json, Coredata, Memory Management, Uikit, Mvc Architecture, Restful Apis, Swift, performance profiling and analysis, building regression suites, building frameworks and tools for native iOS performance tracking and analysis, SwiftUI, offline available application experiences, Xcode studio profiling tools, performance optimization, synthetic performance regression testing
Skills:
Java, Hadoop, Scala, Kafka, Yarn, Mapreduce, Hive, Presto, Spark, Distributed Systems, Python, orc, Go, HDFS, Iceberg, Backend Systems Infrastructure
Skills:
Java, VMware, Rest Api, Git, Linux, Ansible, Nutanix, Puppet, Python, Infrastructure as Code, CI/CD tools, Go, AI models
Skills:
Algorithms, test automation, data structures, software design and architecture, backend distributed server-side development, cloud-native services