Senior Software Engineer - Automation

Gifthealth

$152K — $199K *
Healthcare
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in computer science, engineering, or a related technical field; OR equivalent practical experience required.
  • 5+ years of professional software engineering experience, including 2+ years building and operating automation systems in production required.
  • Experience across both API integration work and browser-based UI automation required.
  • AWS, security, or healthcare technology certifications preferred.
  • Experience in healthcare, pharmacy, or PBM domain preferred.

Responsibilities

  • Designs, builds, and deploys production automations that integrate with internal APIs and third-party operational systems.
  • Builds and maintains step-level logging, alerting, and observability to surface automation failures in real time.
  • Maintains, debugs, and enhances existing automations as operational requirements change.
  • Partners with operations stakeholders to translate process requirements into technical specifications.
  • Establishes and documents engineering standards for automation development, logging conventions, and deployment processes.
  • Evaluates and integrates tooling that supports the long-term automation roadmap.
  • Documents automation logic, runbooks, and architectural decisions for knowledge transfer.

Benefits

  • Remote work flexibility allows for a better work-life balance.
  • Standard work hours with occasional night and weekend hours to meet business needs.
  • Opportunity to collaborate with a diverse set of internal teams and external partners.
  • Potential for professional growth through mentoring less senior engineers.
Full Job Description
Position Summary

Reporting to the Director of AI Engineering, the Senior Software Engineer - Automation designs, builds, and maintains the internal automation systems that support pharmacy operations across Gifthealth's business lines. This position establishes and upholds engineering standards for logging, alerting, and self-service configuration so that automation failures surface internally and can be resolved without external vendor involvement. The work performed spans the two distinct technical surfaces of backend automations that integrate with internal APIs and the core OS, and UI automations that interact with third-party pharmacy management systems where APIs are not available.

We are seeking a Senior Software Engineer - Automation to own the full lifecycle of automation development from operational discovery and requirements through production deployment, observability, and ongoing support. This position plays a key role in supporting AI engineering team, ensuring alignment with organizational goals, operational excellence, and compliance standards.

Key Responsibilities
  • Designs, builds, and deploys production automations that integrate with internal APIs and third-party operational systems (browser-based UI automations where APIs are not available)
  • Builds and maintains step-level logging, alerting, and observability so automation failures, skips, and anomalies surface in real time rather than via downstream impact
  • Maintains, debugs, and enhances existing automations as operational requirements change and triages production incidents and resolve them within the internal fix path
  • Partners with operations stakeholders to translate process requirements into technical specifications, validates automation outputs during parallel-run periods, and defines acceptance criteria
  • Establishes and documents engineering standards for automation development, logging conventions, error handling patterns, configuration management, deployment processes
  • Evaluates, selects, and integrates tooling (including UI automation frameworks, observability platforms, and orchestration systems) that support the long-term automation roadmap
  • Documents automation logic, operational runbooks, and architectural decisions so that knowledge transfers cleanly across the engineering team
Qualifications
  • Education: Bachelor's degree in computer science, engineering, or a related technical field; OR equivalent practical experience demonstrated through professional work. (Required)
  • Licensure/Certification: AWS, security, or healthcare technology certifications (Preferred)
  • Experience:
  • 5+ years of professional software engineering experience, including 2+ years building and operating automation systems in production (Required)
  • Experience across both API integration work and browser-based UI automation (Required)
  • Healthcare, pharmacy, or PBM domain experience (Preferred)
  • Experience replacing legacy or vendor-built automation systems while maintaining operational continuity (Preferred)
  • Experience working alongside an ML or AI platform team (Preferred)
  • Experience replacing or migrating off third-party automation vendors with active production workloads (Preferred)
  • Experience designing alerting strategies that minimize false positives while catching silent failures (Preferred)
  • Experience working directly with operations or business stakeholders to refine automation behavior over time (Preferred)
  • Knowledge, Skills, & Abilities:
  • Knowledge of modern web application architecture; background job processing and scheduled task execution at production scale (Sidekiq, GoodJob, ActiveJob, or equivalent); OCR or document extraction tooling (Textract, Tesseract, or equivalent); browser automation frameworks (Playwright, Puppeteer, Selenium, or similar); RPA platform experience (UiPath, Power Automate, Blue Prism); REST API design, authentication patterns, retry and error handling; production observability concepts (structured logging, metrics, alerting, distributed tracing); source control workflows (Git) and CI/CD pipelines; and database fundamentals (Postgres or similar relational store; familiarity with query performance and migrations) (Required)
  • Knowledge of Ruby on Rails; healthcare or pharmacy operations workflows, including prescription processing, insurance verification, or order fulfillment; HIPAA and PHI handling best practices in production systems; AWS infrastructure (EC2, ECS, Lambda, S3) and infrastructure-as-code (Terraform); Snowflake or similar data warehouse environments (Preferred)
  • Strong programming skills in Ruby and / or Python (Required)
  • Excellent written, verbal, and interpersonal communication skills (Required)
  • Ability to designing and building reliable, fault-tolerant production systems with clear failure modes and recovery paths (Required)
  • Ability to write maintainable, well-tested code that other engineers can extend (Required)
  • Ability to diagnosing and resolve production incidents under time pressure (Required)
  • Ability to translating business process requirements into technical specifications without losing operational nuance (Required)
  • Ability to operate independently on technical decisions with minimal direction (Required)
  • Ability to communicate technical concepts clearly to non-technical operations stakeholders (Required)
  • Ability to balance pragmatism (ship working automation quickly) with engineering rigor (build it correctly the first time) (Required)
  • Ability to prioritize effectively across competing requests, new builds, and incident response (Required)
  • Ability to mentos or coach less senior engineers on automation patterns and operational thinking (Preferred)
  • Ability to lead cross-functional discovery sessions with operations stakeholders to scope new automation work (Preferred)

Work Environment
  • Location: Remote
  • Schedule: 8:00 A.M. to 5:00 P.M. Monday through Friday with night and weekend hours on occasion as determined by the needs of the business.
  • Regular meetings with internal Prompt Engineering, ML Engineering, Software Engineering, ML Ops Engineering, and product management teams. This role may also have meetings with vendor and consultant partner representatives.

Key Essential Functions
  • Must be able to remain in a stationary position for extended periods while writing or reviewing documentation
  • Must be able to work on a computer for the entire shift
  • Must be able to attend virtual meetings with cross-functional teams

Employment Classification

Status: Full-time
FLSA: Exempt

Salary Description

$152,678-$199,847

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