Senior Software Engineer

Summary

Join Komodo Health, a company dedicated to reducing the global burden of disease through data-driven insights. As a Senior Software Engineer, you will play a key role in building and scaling our data platform, solving complex system and data challenges, and enabling smarter uses of healthcare datasets. You will collaborate with various teams to understand requirements and develop necessary services and data processing steps. This role involves designing scalable backend systems, robust data pipelines, and implementing best practices. You will contribute to the scalability of data systems across our product offerings and mentor other engineers. Komodo Health offers a hybrid work model and a competitive compensation and benefits package.

Requirements

• Expertise with building scalable backend services using modern frameworks such as FastAPI
• Expertise with industry standard distributed systems (i.e. Spark/Databricks), data pipeline tools (e.g. Airflow/Temporal) and databases (ie. Snowflake, PostgreSQL)
• Expertise with processes and toolings in the entire software development life cycle in an agile environment, including design, implementation, testing, deployment, and monitoring&alerting
• Solid computer science skills and proficiency in programming languages like Python. Able to leverage industry standard design patterns and engineering best practices
• Demonstrated track-record of delivering products and features with varying degrees of complexity, and through several iterations of product development
• Capable of quickly building expertise on an as-need basis on a new tech stack
• Experience with systems level design, including support and operations. Understand and design for non-functional concerns such as performance, cost optimization, maintainability and developer experience. Relevant experience with cloud infrastructure technologies such as AWS
• Mentor and/or train other engineers in relevant skills and/or technologies
• Knowledge of analytics, familiarity with a variety of numerical methods/algorithms and basic level understanding of ML algorithms

Responsibilities

• Build the foundational pieces of our data infrastructure, pipelines, and data services underlying our healthcare platform or products
• Lead the creation of product engineering solutions for complex business requirements across different stakeholders including engineering, product and customers
• Design, architect and/or implement systems for supporting data processing tasks, like metadata, configuration and/or data pipeline inputs
• Lead the development of improvements to data infrastructure, pipelines automation, codebase quality and/or data quality
• Ensure non-functional requirements are met, such as costs, developer experience, reliability, maintainability and operations/support
• Demonstrate expertise in one or multiple industry standard distributed systems technologies, ie. big data and scalable backend services, as well as collaborating in the architecting and/or implementation of improvements to existing tech stack
• Set a high bar for technical quality and mentor other engineers to achieve the same
• Collaborate across different disciplines for creating innovative ways to engineer data insights
• Collaborate with stakeholders during business planning cycles. Documenting engineering requirements and designs. Presenting and influencing other partners teams to achieve technical alignments

Preferred Qualifications

Location: SF office hybrid preference (1-2 days/wk) or open to remote

Benefits

• Performance-based bonuses
• Equity awards
• Comprehensive health, dental, and vision insurance
• Flexible time off and holidays
• 401(k) with company match
• Disability insurance
• Life insurance
• Leaves of absence in accordance with applicable state and local laws and regulations and company policy
• Competitive total rewards package including medical, dental and vision coverage
• 401k Retirement Plan
• Prepaid legal assistance
• Paid time off for vacation, sickness, holiday, and bereavement
• 100% company-paid life insurance
• Long-term disability insurance
• Hybrid work model