SDE IV - Backend

What you'll do

• Ensure availability, stability, observability, and scalability of the data platform
• Own production issue resolution, root cause analysis, and continuous improvements
• Lead design and delivery of platform features
• Make informed choices across data architectures (batch vs streaming, Delta vs Iceberg), orchestration tools (Airflow, Argo), and scalability patterns
• Implement best practices for partitioning, indexing, and resource optimization
• Drive cost efficiency through FinOps-aligned design and observability
• Treat platform as a product balancing usability, governance, and adoption
• Define and track KPIs for usage, performance, and cost
• Write modular, testable, and maintainable code
• Build CI/CD pipelines, structured logging, and enable observability and debugging by design
• Collaborate across teams, own stakeholder communication, drive sprint execution, and contribute to documentation
• Mentor engineers and influence best practices

Requirements

• 7–10 years in platform/data engineering
• Proficient in Python, Shell, Kubernetes, CI/CD, Terraform, observability tools, and Linux-based systems
• Hands-on experience with Azure, GCP, or AWS
• Experience with modern orchestration tools such as Airflow and Argo
• Familiarity with data formats like Parquet, Delta, Iceberg
• Experience with compute engines such as Databricks, Clickhouse, Trino
• Ability to design scalable, fault-tolerant systems with efficient storage, caching, and cost control
• Experience with model serving frameworks is a plus
• Apply data access policies, SLA/SLO tracking, schema evolution best practices
• Enable monitoring, auditing, and incident management
• Leadership skills including mentoring, prioritizing business impact, and driving accountability

Tech stack

Benefits