Lead SDE role responsible for building scalable backend systems and robust data pipelines. Lead and mentor engineering teams, collaborate with architects, DevOps, and business teams. Define technical architecture ensuring scalability, resilience, and security. Establish engineering standards and best practices. Evaluate new technologies and develop POCs. Conduct code and architecture reviews. Hands-on contribution to product features and roadmap initiatives. Drive system performance and engineering productivity improvements. Required skills include API development with Python/Golang/NodeJS, messaging systems (Kafka, Pub/Sub, Redis Streams), SQL and NoSQL databases (PostgreSQL mandatory), distributed data processing (Spark, Trino/Presto), in-memory data frameworks (Pandas, Numpy, DuckDB, Polars), data warehouses (BigQuery, Clickhouse, Databricks, Snowflake), data modeling and optimization, ETL/ELT pipelines, third-party API integrations, data monitoring tools (Sentry.io, Grafana, Datadog), CI/CD and automation tools (UV, Poetry, PM2, Docker, Jenkins), containerization and serverless architectures, cloud platforms (AWS, GCP). Requires 8+ years experience, bachelor's degree in CS or related field, cloud certification, strong communication, leadership, and Agile mindset.
What you'll do
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Bellevue, United States; Boston, United States; Boulder, United States; Chicago, United States; Denver, United States; Los Angeles, United States; New York, US; San Francisco, United States; San Jose, United States; Seattle, United States; Ventura, United States•7 days ago
Lead, mentor, and grow a high-performing engineering team by providing technical guidance, architectural direction, and continuous support throughout the product development lifecycle
Work collaboratively with architects, DevOps, business teams, and developers across locations to assist with technical solutions
Define and drive long-term technical architecture ensuring scalability, resilience, security, and alignment with business requirements
Establish and enforce engineering standards, development processes, coding best practices, and quality assurance frameworks
Evaluate emerging technologies, conduct technical research, and develop Proofs of Concept (POCs)
Conduct regular code reviews, architecture reviews, and performance evaluations with constructive feedback
Contribute hands-on to design, development, optimization, and delivery of key product features and roadmap initiatives
Drive continuous improvement in system performance, observability, automation, and engineering productivity
Requirements
Bachelor's degree in Computer Science, Engineering, or related field
8+ years of experience with a proven track record of successfully leading cross-functional engineering teams in the development and delivery of complex products
Cloud Certification in AWS/GCP/Databricks/Snowflake
Excellent communication and interpersonal skills
Proven ability to identify and resolve impediments or conflicts during development
Ability to thrive in a fast-paced, dynamic environment and adapt quickly to changing priorities
Continuous growth and learner mindset with passion for Agile principles and ongoing professional development
Ability to take ownership of complex tasks and deliver while mentoring team members
