What will your job look like: Drive Execution: Balance hands-on development (coding, code reviews, and architecture) with project management, resource planning and delivery. Architect at Scale: End-to-end architecture of ingestion pipelines capable of handling massive scale, ensuring low latency, high availability, and optimal cost-efficiency. Lead & Mentor: Empower, guide, and scale a talented team of backend engineers. Foster a culture of technical excellence and continuous learning. Optimize Infrastructure: Continuously improve system performance, data throughput, and cloud infrastructure utilization (compute, storage, and networking costs). All you need is: 2+ years of experience leading, mentoring, and growing backend engineering teams in a fast-paced environment. 5+ years of deep backend experience building high-scale, distributed cloud architectures. Hands-on experience with high-throughput streaming and queuing systems (e.g., Apache Kafka, AWS Kinesis, RabbitMQ, or equivalent). Strong experience with cloud providers, preferably AWS (core services like EKS, S3, CloudFront) and containerized workflows (Docker, Kubernetes). Proficiency in Node.js and/or Python. Solid understanding of high performance relational/NoSQL databases. Familiarity with Data Lake architectures (e.g., Iceberg, Glue, or similar high-scale storage formats). Nice to have: Experience with task queues and stream processing frameworks (Celery, Spark etc.). Background in geospatial data processing or handling.
