Senior Backend Engineer
Senior Backend Engineer on the Reporting & Measurement team at Tatari, building and scaling TV advertising analytics and measurement platform. Requires 6+ years Python experience, strong distributed systems and modern data stack background, plus production LLM deployment experience.
About the job
Responsibilities
- Architect and own the development of new features
- Collaborate with tact and lead with empathy across the organization on system architecture, technology, and scaling decisions
- Mentor more junior members of the team
- Design relational and non-relational data models for optimal storage, retrieval, and complex processing/calculations
- Drive technical architecture discussions and peer code reviews
- Collaborate effectively with Data Science, Product, and across engineering teams to push boundaries, shape our roadmap, and deliver on our mission
Requirements
- 6+ years developing software with object-oriented and/or functional programming languages (Python required)
- Hands-on experience with agentic coding tools (e.g., Cursor, Copilot, Cody) to accelerate development while maintaining a high quality bar
- Experience evaluating and deploying LLM-based systems in production (latency, cost, reliability trade-offs)
- 4+ years building distributed systems at scale
- 4+ years with a modern data stack (RDS, Databricks, Spark, Redshift, Kafka, Airflow, lakehouse architectures, real-time databases, dbt, etc.)
- Deep SQL and data modeling expertise
- Experience working across the organization delivering on large impact initiatives
Nice-to-Haves
- Experience developing highly available APIs using modern frameworks (e.g. REST, gRPC, GraphQL)
- Experience developing applied AI/ML-enabled features
- Familiarity with prompt engineering, RAG architectures, evaluation frameworks, or fine-tuning
Compensation & Benefits
- Total compensation: $170,000 - $200,000
- Equity compensation
- Health insurance coverage for you and your dependents
- 401K, FSA, and commuter benefits
- $150 monthly spending account
- $1,000 annual continued education benefit
- $500 Newbie Productivity Perk
- Unlimited PTO and sick days
- Monthly Company Wellness Day Off
- Snacks, drinks, and catered lunches at the office
- Team building events
- Hybrid RTO of 2 days per week in office
Skills
Python, SQL, Distributed Systems, Rds, Databricks, Spark, Redshift, Kafka, Airflow, dbt, LLMs, RAG, Rest, gRPC, GraphQL
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