Principal Engineer/Architect - PL
Location: Bengaluru, India
Department: Platform
Experience: 9- 14
- Architect & Design: Lead the end-to-end architecture of core platform components – from ingestion pipelines to ML orchestration and serving layers. Architect for scale (200Bn+ daily data points), performance, and flexibility.
- Technical Leadership: Act as a thought leader and trusted advisor for engineering teams.
- Review designs, guide critical decisions, and set high standards for software engineering excellence.
- Platform Evolution: Define and evolve the platform’s vision, making key choices in data processing, storage, orchestration, and cloud-native patterns.
- Mentorship: Coach senior engineers and staff on architecture, engineering best practices, and system thinking.
- Foster a culture of engineering excellence and continuous improvement.
- Innovation & Research: Evaluate and experiment with emerging technologies (e.g., event-driven architectures, AI infrastructure, new cloud-native tools) to stay ahead of the curve.
- Cross-functional Collaboration: Partner with Engineering Managers, Product Managers, and Data Scientists to align platform capabilities with product needs.
- Non-functional Leadership: Ensure systems are secure, observable, resilient, performant, and cost-efficient. Drive excellence in areas like compliance, DevSecOps, and cloud cost optimization.
- 10+ years of experience in backend/platform architecture roles, ideally with experience at scale.
- Deep expertise in distributed systems, data engineering stacks (Kafka, Spark, HDFS, NoSQL DBs like Cassandra/ElasticSearch), and cloud-native infrastructure (AWS, GCP , or Azure).
- Proven ability to architect high-throughput, low-latency systems with batch + real-time processing.
- Experience designing and implementing DAG-based data processing and orchestration systems.
- Proficient in Java (Spring Boot, REST), and comfortable with infrastructure-as-code and CI/CD practices.
- Strong understanding of non-functional areas: security, scalability, observability, and compliance.
- Exceptional problem-solving skills and a data-driven approach to decision-making.
- Excellent communication and collaboration skills with the ability to influence at all levels.
- Prior experience working in a SaaS environment is a strong plus.
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