Senior Backend Engineer

Tatari

$170K — $200K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6+ years in software development with Python and experience in OOP or functional programming
  • Proficient with coding tools like Cursor and Copilot for quality enhancement
  • Hands-on experience with deploying LLM systems in production
  • 4+ years of experience in building scalable distributed systems
  • Advanced knowledge of modern data stacks including RDS, Databricks, and other mentioned technologies
  • Strong expertise in SQL and data modeling
  • Experience in cross-functional collaboration on major projects

Responsibilities

  • Architect and take ownership of new feature development
  • Lead empathetically in cross-organizational architecture and scaling discussions
  • Mentor junior team members to foster their growth
  • Design efficient data models for storage and processing
  • Drive discussions on technical architecture and conduct peer code reviews
  • Collaborate with Data Science, Product, and engineering teams to influence the product roadmap

Benefits

  • Equity compensation
  • Health insurance for employees and dependents
  • 401K, FSA, and commuter benefits
  • Monthly $150 spending account for personal expenses
  • $1,000 annual education benefit for professional development
  • $500 productivity perk for new employees
  • Unlimited paid time off and sick days
  • Monthly wellness day off for employees
  • Free snacks and catered lunches at the office
  • Team building events for enhanced company culture
  • Hybrid work model with 2 days in office per week
Full Job Description
We are looking for Senior Backend Engineers to join Tatari and play a key role in the evolution and scaling of our platform. In this role, you will contribute to system architecture decisions, mentor junior team members, promote best practices, and ship high-quality code to production daily. At Tatari you are empowered to do your best work at a sustainable pace with a stellar group of smart, creative, and humble human beings. Come help us build a television first programmatic buying experience!

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

Qualifications:
  • 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 have:
    • Experience developing highly available API 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

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

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