Sr. Software Development Engineer

Requirements

• 4+ years of experience building or operating distributed systems, backend services, or large-scale data platforms
• Experience with event streaming or messaging systems (e.g., Kafka, Flink, Kinesis)
• Experience with data processing frameworks (e.g., Spark, Databricks, Flink)
• Familiarity with production environments, including Kubernetes, CI/CD pipelines, monitoring, and incident response
• Experience designing and operating RESTful services
• Proficiency in Java (Python or other languages are also valuable)
• Focus on reliability, performance, and cost efficiency in system design

What You'll Be Doing

• Build and operate cloud-native, distributed platforms for analytics and AI-enabled features
• Develop and improve event-driven and streaming platforms such as Kafka and related technologies
• Translate product and business requirements into scalable, production-ready solutions
• Identify and address performance, reliability, and cost challenges in existing systems
• Contribute across the development lifecycle: design, implementation, testing, deployment, and monitoring
• Participate in on-call rotations and support incident response and system reliability improvements
• Integrate AI/ML capabilities into production systems built on strong data foundations
• Collaborate with and support other engineers to improve overall system quality

Nice to Have

• Experience with Scala
• Familiarity with CI/CD tools such as Jenkins or Argo
• Experience with observability tools (e.g., Prometheus, Grafana, Splunk)
• Experience operating systems under high-traffic conditions
• Exposure to AI-enabled features, LLM APIs, or production AI systems
• Familiarity with monitoring AI/ML performance and data quality

Perks and Benefits

• Contribute to a widely used, production-grade platform
• Help shape how AI is integrated into large-scale analytics systems
• Work on systems with real users, real workloads, and measurable impact
• Participate in platform-level decision making and technical direction