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

Palo Alto, California, United States

Machinify Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare, HealthtechIndustries

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)
  • Proven track record of building complex software systems through the full lifecycle
  • Proven leadership skills to guide, mentor, coach, and serve as a tech lead for projects in the Payment Integrity space

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
  • Design and architect complex frameworks for applying ML techniques to large data volumes and simplifying labor-intensive processes
  • Recognize and prioritize between customer deliverables and tech debt to develop a sustainable software suite of products

Skills

Key technologies and capabilities for this role

Software EngineeringSystem ArchitectureAILLMsData MiningReal-time Data ProcessingBatch ProcessingClaims ProcessingScalabilityMentoringLeadership

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a fully remote position.

What is the salary range for this role?

This information is not specified in the job description.

What experience and skills are required for this position?

Candidates need 10+ years of hands-on experience building complex distributed systems or large-scale backend platforms, strong working experience with Java or Scala, and deep expertise with data-intensive systems or real-time processing pipelines. Additional experience with Python, Rust, or C# is a plus, along with proven leadership in driving high-impact projects.

What will the team culture be like?

The role involves mentoring and guiding engineers across teams while fostering a strong engineering culture and technical excellence.

What makes a strong candidate for this Tech Lead role?

A strong candidate has a proven track record of building complex software systems through the full lifecycle, demonstrated leadership skills as a guide, mentor, coach, and tech lead, plus experience with AI, LLMs, and payment integrity solutions.

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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