Staff Software Engineer

ExaCare AI • New York, NY

7d

About The Position

We are looking for a Staff Software Engineer who thrives in high-ownership environments and can drive complex product initiatives from concept to production. In this role, you will own user-facing features end-to-end—from understanding customer workflows and identifying the right product solution to designing, implementing, validating, deploying, and operating production-ready systems.
Success in this role requires systems-to-workflow thinking: the ability to connect software architecture, data models, APIs, integrations, and AI capabilities with the real-world experience of customers, implementation teams, and internal operators. You will balance long-term platform investments with pragmatic product delivery, ensuring that solutions are scalable, maintainable, and deliver meaningful customer value.
As a Staff Software Engineer, you will have a meaningful impact on the future of exacare's platform by shaping the technical direction across multiple product areas. You'll identify reusable patterns, abstractions, and frameworks that accelerate engineering velocity and improve product consistency. Working closely with product, design, clinical, and customer-facing teams, you'll solve ambiguous, high-impact problems, influence architectural decisions, and raise the engineering bar across the organization as we scale.

Requirements

• Strong full-stack engineering fundamentals — proficiency with TypeScript, PostgreSQL, REST APIs, and modern backend architecture.
• 7+ years of software engineering experience with a focus on product engineering, backend systems, or full-stack development.
• Ability to own production-facing features end-to-end — from design to rollout, without requiring constant senior oversight.
• Good product and workflow judgment — you think about the customer or operator experience, not just the technical implementation.
• Comfort operating in ambiguity — you can scope, plan, and execute independently on high-impact, open-ended problems.
• Clear communication with product, operations, platform, ML, and other engineering partners.

Nice To Haves

• Experience building applied AI features or working with LLM infrastructure.
• Experience with healthcare workflows, care-setting variability, or regulated environments.
• Experience with EHR integrations or health data standards.
• Experience with operational tooling or onboarding/support-heavy product surfaces.
• Experience building reusable patterns or frameworks that help teams move faster.
• Bachelor's degree in Computer Science or a related technical field (or equivalent practical experience).

Responsibilities

• Own product features end-to-end: Take a feature from workflow problem through technical design, implementation, verification, production rollout, and operational readiness — without requiring constant senior oversight.
• Bring systems-to-workflow thinking: Reason across software architecture, data models, integrations, and reusable product patterns — always grounding decisions in how the customer, operator, or implementation team experiences the result.
• Build and ship user-facing product: Design and deliver reliable full-stack features that support complex healthcare workflows at scale, using TypeScript, PostgreSQL, and modern cloud-native tooling on AWS.
• Drive quality and production readiness: Maintain a high quality bar across testing, observability, deployment safety, and incident response — proactively managing rollout risk and operational impact.
• Create reusable patterns and frameworks: Identify opportunities to abstract common workflows, integrations, or AI-powered patterns across product surfaces — creating leverage for the broader engineering team.
• Collaborate cross-functionally: Work closely with product, operations, platform, ML, and other engineering partners to translate real workflow problems into robust, maintainable technical solutions.

Benefits

• Competitive salary and equity in a high-growth startup
• Flexible PTO, take what you need
• Medical, dental, and vision coverage
• Great startup culture, including company off-sites
• High-achieving team, including ex-Amazon, Google & Tesla engineers and alumni of Bain, BCG, Goldman Sachs, and more

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree