Tech Lead | Senior Staff Software Engineer (Remote) at Machinify

Palo Alto, California, United States

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Not SpecifiedCompensation

N/AExperience Level

N/AJob Type

Not SpecifiedVisa

N/AIndustries

Requirements

10+ years of hands-on experience building complex distributed systems or large-scale backend platforms
Strong working experience with Java or Scala (additional experience with python, Rust, or C# are a plus)
Deep expertise with data-intensive systems, or real-time processing pipelines
Proven ability to drive high-impact, green field and/or ambiguous projects or architecture initiatives across teams
Experience reading and understanding complex enterprise-grade code, quickly contributing to it, and suggesting improvements
Working experience writing SQL queries
Strong CS foundation (data structures, asynchronous programming)
BS or MS in Computer Science (or equivalent experience)

Responsibilities

Lead end-to-end design and implementation of large-scale data mining solutions that handle real-time data as well as batch mode ingestion, modeling, and inference
Shape long-term architectural direction, technology stack, and engineering best practices
Identify and mitigate technical risks, ensuring scalability, availability, and reliability across the platform
Mentor and guide engineers across teams, fostering strong engineering culture and technical excellence
Partner with peers in product management, operations, and data science to translate ambiguous business requirements into actionable technical plans
Enjoy designing and architecting complex frameworks for applying ML techniques to large data volumes and simplifying labor-intensive processes
Recognize and prioritize between Customer deliverables & Tech debt to develop a sustainable software suite of products

Skills

Machinify

AI-driven solutions for healthcare administration

About Machinify

Machinify provides AI-driven solutions to improve decision-making in the healthcare industry. Its platform helps health plans, payers, and providers optimize their operations, particularly in areas like claims processing and utilization management. The applications offered by Machinify can be quickly deployed, allowing clients to see immediate returns on investment. This focus on rapid implementation sets Machinify apart from competitors, as healthcare organizations increasingly seek cost efficiency and better patient outcomes. The company's goal is to enhance operational efficiency and help clients manage healthcare expenditures more effectively.

Palo Alto, CaliforniaHeadquarters

2016Year Founded

$15.2MTotal Funding

SERIES_ACompany Stage

AI & Machine Learning, HealthcareIndustries

51-200Employees

Benefits

Medical, dental, & vision

Flexible work environment

Generous PTO

Competitive salary

Equity

401(k)

Sponsorship

Generous L&D Reimbursement policy

Risks

Integration challenges with Evolent Health could disrupt Machinify's operations.

Slow adoption of new technologies in healthcare may hinder Machinify's rapid deployment.

Reliance on a few large clients poses a risk if they switch providers.

Differentiation

Machinify leverages AI to optimize healthcare decision-making and administrative processes.

The company offers rapid deployment of AI applications for immediate ROI in healthcare.

Machinify's AI platform addresses the entire healthcare claims lifecycle efficiently.

Upsides

AI-driven automation in healthcare claims processing is gaining significant traction.

The healthcare AI market is projected to reach $45.2 billion by 2026.

Machinify's AI solutions reduce administrative costs and improve patient care access.

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