Lead Software Engineer (Java/bigdata/spark)
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand and metro locations increase applicant density despite niche big-data skills.
Core big-data, Java, Kafka, and cloud skills transfer across industries though billing domain adds some bias.
Multiple mandatory technical skills and explicit 6+ years experience make screening highly selective.
Job Description
Structured overview of role & requirementsAbout This Role
Lead development and deployment of scalable, customer-facing and internal Big Data applications using Java, Flink, Kafka, and AWS/Kubernetes.
Ensure software quality via continuous integration, automated testing, root cause analysis, and monitoring of production systems.
Collaborate with Product Management, Architecture teams, and stakeholders to manage backlog, demo products, and support 24x7 production in rotation.
Minimum Requirements
6+ years professional software development experience with strong backend Java skills.
Experience building Big Data pipelines using Flink and Kafka in AWS/Kubernetes environments.
Proficient with REST APIs (e.g., SpringBoot), SQL databases (Aurora, Postgres), and columnar storage (RedShift).
Experience with CI/CD pipelines (Git, Gitlab), and running production services on AWS stack and Kubernetes/Docker.
Ideal Candidate Profile
Experienced in fast-paced agile environments working cross-functionally with PMs, Architects, and Analysts.
Comfortable managing end-to-end production software lifecycle in compliance-heavy large organizations.
Demonstrates operational ownership including production monitoring, root cause analysis, and 24x7 client-centric support rotation.