Open Position
Job ID: B7r9
Position Details
We are looking for a highly execution-oriented Tech Lead who combines strong technical depth with operational ownership and urgency. This role requires a technical leader who can take ownership of engineering execution end-to-end, driving delivery, maintaining momentum, ensuring accountability, and helping engineers move quickly without sacrificing quality.
You will lead by example, staying close to the code, identifying risks early, pushing projects forward, and ensuring the team delivers reliably in a fast-paced healthcare SaaS environment. The ideal candidate is highly hands-on, learns complex business logic quickly, operates with urgency, embraces accountability, and uses modern engineering practices — including AI-assisted development workflows where they create real leverage.
What You'll Own
Engineering Execution & Team Accountability
Own day-to-day engineering execution across projects and teams
Drive delivery momentum and ensure engineers make consistent forward progress
Hold a high bar for responsiveness, follow-through, and execution quality
Proactively identify blockers, staffing gaps, delivery risks, and coordination issues before they impact timelines
Work closely with leadership to align staffing and technical priorities with business needs
Ensure work is properly scoped, estimated, delegated, and completed
Push projects through ambiguity and maintain execution velocity in a fast-moving environment
Balance speed, pragmatism, scalability, and maintainability
Technical Leadership
Translate product requirements and architectural direction into practical implementation plans
Lead technical execution across backend systems, APIs, integrations, infrastructure, and frontend applications
Write and review production-quality code in Python (FastAPI) and React
Guide engineers through technical challenges and implementation trade-offs
Ensure APIs, data models, workflows, and integrations are implemented consistently and clearly
Partner with architecture leadership to provide implementation feedback grounded in operational reality
Maintain strong engineering standards while remaining pragmatic and delivery-focused
Business Logic & Product Understanding
Quickly absorb and understand complex business workflows and operational requirements
Ensure engineering decisions align with product and operational realities
Help engineers understand the "why" behind implementation decisions
Identify areas where technical improvements can simplify operations or reduce support burden
AI & Engineering Effectiveness
Leverage AI tools and modern development workflows to improve engineering productivity and quality
Identify opportunities where automation or AI-assisted workflows can accelerate delivery, testing, documentation, debugging, or support operations
Encourage thoughtful adoption of tools that improve team efficiency without compromising reliability or security
Continuously improve engineering workflows, developer experience, and operational effectiveness
Infrastructure, Reliability & Delivery
Collaborate on AWS infrastructure and Infrastructure-as-Code using Terraform
Maintain secure, reproducible, and production-ready environments
Support strong CI/CD practices including automated testing and reliable deployments
Ensure systems meet HIPAA and other regulated-environment requirements
Drive operational discipline around observability, deployment quality, and production reliability
Escalate risks early rather than allowing issues to drift
What We're Looking For
7+ years of professional software engineering experience
Proven success leading engineering execution in fast-paced environments
Strong hands-on experience with Python, FastAPI, AWS, and distributed systems
Solid understanding of React and frontend architecture
Experience owning delivery across remote engineering teams
Strong operational mindset with a bias toward action and accountability
Ability to quickly understand complex business logic and domain workflows
Strong judgment balancing technical quality with business urgency
Experience improving engineering productivity, workflows, or developer effectiveness
Comfortable making decisions and driving execution under ambiguity
Excellent communication and organizational instincts
Working knowledge of Infrastructure-as-Code (Terraform)
Experience operating in security-conscious or regulated environments
Bonus Experience
Experience in healthcare, fintech, or other regulated SaaS environments
Familiarity with HIPAA, SOC 2, or similar frameworks
Experience scaling or managing offshore/distributed engineering teams
Experience improving engineering processes, SDLC practices, or delivery operations
Experience using AI-assisted engineering workflows in production environments
Exposure to event-driven or message-based architectures
This Role Will NOT Be a Fit If You:
Prefer strategy and architecture over execution and delivery ownership
Avoid accountability for team output or delivery timelines
Need highly structured environments with constant direction
Prefer working in isolation rather than driving team momentum
Avoid difficult execution conversations or performance management situations
Want to stay completely out of operational or staffing discussions
Move slowly when decisions or action are required
View AI tools as irrelevant to modern engineering workflows
What Success Looks Like
Engineers execute with urgency, clarity, and accountability
Projects move forward consistently without excessive oversight
Risks, blockers, and staffing issues are surfaced early and addressed proactively
Systems remain understandable, scalable, and reliable while delivery velocity stays high
Complex business workflows are implemented correctly with minimal rework
Engineering standards remain high without slowing down execution
AI and automation meaningfully improve engineering efficiency and delivery qualityLeadership trusts the engineering organization to execute predictably and responsibly
Teams consistently deliver outcomes, not just completed tickets


