Lead Software Engineer

crisp design discussions, and grow the people around them.

• A minimum of 7–10 years of backend and/or data engineering experience.
• Deep expertise in at least one of Java, Python, or Scala, and strong fluency in SQL and data modeling.
• Proven experience designing distributed systems and data products — microservices, REST/GraphQL APIs, event-driven architectures, batch and streaming pipelines.
• Hands-on experience with Databricks, Spark, Delta Lake, Unity Catalog (or equivalent), and orchestration tools such as Airflow.
• Strong cloud experience (AWS, GCP, or Azure) including networking, IAM, secrets, and cost-aware architecture.
• Demonstrated ability to lead technical design reviews, define APIs and data contracts, and drive consensus across teams.
• Track record of mentoring engineers — code reviews, design coaching, career growth conversations.
• Experience with observability and SRE practices: metrics, tracing, alerting, error budgets, on-call leadership.
• Comfortable with TDD, modern CI/CD, and the productive use of AI engineering tools (GitHub Copilot, etc.).
• Strong written and verbal communication — able to influence both engineers and senior business stakeholders.
• Bachelor's or Master's degree in Computer Science, Information Systems, or related field — or equivalent experience.
• Preferred: experience with data governance, RLS/ABAC, ontology/semantic layers, dbt, agentic/LLM-powered analytics layers, or large-scale BI platforms.