TailorCare

Build and operate production ML and decisioning systems, develop AWS and Databricks platforms, extend GenAI applications, and establish engineering standards with cross-functional teams. | Requires a bachelor's degree or equivalent and 5+ years in ML engineering, MLOps, or data science, including 3+ years operating production ML systems and hands-on experience with the listed ML, data, cloud, and deployment stack. | About TailorCare TailorCare is transforming the experience of specialty care. Our comprehensive care program takes a deeply personal, evidence-based approach to improving patient outcomes for joint, back, and muscle conditions. By combining a careful assessment of patients' symptoms, health histories, preferences, and goals with predictive data and the latest evidence-based guidelines, we help patients choose and navigate the most effective treatment pathway for them, every step of the way. TailorCare values the experiences and perspectives of individuals from all backgrounds. We are a highly collaborative, curious, and determined team passionate about scaling a high-growth start-up to improve the lives of those in pain. TailorCare is a remote-first company with a hybrid office in Nashville. About the Role TailorCare's Data Science team builds the ML/AI systems that decide which patients we reach, when, and how. We are shipping a portfolio of models and a real-time decision platform that puts them to work across every market we serve, and learns from every outcome it touches. The hard problem is not the score. It is which action, for whom, when, through which channel, and how the outcome feeds back. The engineer who builds that platform shapes how TailorCare delivers care at scale. As a Senior ML/AI Engineer, you will take models from prototype to production and keep them running, and what you ship goes live with care teams working with real patients. You will own the engineering behind our predictive and decisioning systems: deployment and retraining workflows, monitoring, the real-time event-driven paths that connect model output to the teams and systems that act on it, and the GenAI applications our care teams already use. You will help grow our platform from a Databricks lakehouse toward a hybrid architecture on AWS, and you will raise the engineering bar for a team of strong modelers and healthcare data scientists. Reporting to the Director, AI & Decision Intelligence, you will work closely with data engineering, software engineering, clinical, and operations partners. Primary Responsibilities Build the decisioning and feedback layer between score and action: action selection logic, holdout and experiment assignment, outcome capture, and the pipelines that measure lift per action and channel. Design and build event-driven, real-time integrations between model output and the systems that act on it: streaming pipelines, versioned schemas and contracts, replay, ordering, and failure handling. Own cost-to-serve across the platform: instrument compute, streaming, inference, and LLM spend per model and per decision, set budgets and alerts, and make cost a release criterion alongside latency and accuracy. Deploy, monitor, and retrain production ML models with CI/CD, model registry, and alerting that meet a healthcare reliability bar, including drift, coverage, and calibration by cohort and market. Build and improve predictive models on healthcare claims, authorization, and operational data, and validate them in production conditions before release. Drive the build-out of our AWS-native footprint alongside our Databricks lakehouse: infrastructure as code, IAM and secure data handling, containerized inference, and managed foundation-model services under PHI controls. Extend our feature store and data assets toward real-time features as new event sources arrive. Own and extend our production GenAI applications, including LLM pipelines and agentic workflows, with the evaluation, retrieval, guardrail, and cost controls needed to run them safely on patient data. Partner with data scientists to productionize new models, and with data and software engineering on shared pipelines, interfaces, and contracts. Help establish and uphold engineering standards with the ML engineering lead: code review, automated testing, reproducibility, documentation, and release discipline. Mentor data scientists on production practice. Other duties as assigned. Minimum Qualifications Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience. 5+ years in ML engineering, MLOps, or data science, including 3+ years operating ML systems in production. Production experience with Databricks, PySpark, Delta Lake, and MLflow. Production experience with AWS data and ML services and infrastructure as code (Terraform, CDK, or CloudFormation). Hands-on experience designing and running event-driven or streaming systems (Kinesis, Kafka, or equivalent) with schema or contract management. Strong Python and SQL, and experience building and evaluating ML models with scikit-learn, XGBoost, or PyTorch. CI/CD for ML workloads and model and pipeline monitoring. Ability and willingness to travel up to 10% as needed for onsite meetings, team collaboration, and company events. Desired Qualifications Experience building recommendation, decisioning, or experimentation systems in production, including uplift or bandit-style approaches. dbt and lakehouse data modeling. Healthcare data (claims, eligibility, prior authorization, EHR) and PHI handling requirements. Containerized model serving and staged or canary deployment patterns. Amazon Bedrock or other managed foundation-model platforms under a HIPAA BAA. Agentic frameworks and retrieval systems in production. Experience building or operating LLM-based applications, including evaluation and guardrails. Skills Engineering Mentality – Finds the common denominator across work and builds the platform that makes the next model faster to ship than the last. Scientific Approach – Starts from an open question, designs the analysis or model to answer it, and validates before trusting it. Seek Simplicity – Builds with the minimum necessary complexity and designs for the person who maintains it next. Ownership – Takes a system from design to production to monitoring without waiting for another team to carry it. Collaborative – Works across data engineering, software engineering, clinical, and operations to agree on interfaces and hold to them. Good Communication – Explains what a system does and why it matters in terms a care team or finance partner can act on. What's In It For You Meaningful Work: We are dedicated to our mission and deeply value our patients and each other. Each day offers the opportunity to make a positive impact. Work Environment: We operate as a remote-first company with options for a hybrid work model in Nashville. Time Off: Our generous paid time off (PTO) and holiday plans ensure you have ample time to rest and recharge. Family First: We offer paid parental leave and support a healthy work-life balance, encouraging flexibility and autonomy. We love talking about our family and pets! Comprehensive Benefits: From Day 1, employees enjoy medical, dental, vision, life, and disability insurance, wellness resources and an employer HSA contribution. Fair Compensation: We are committed to equitable pay for all team members and support your future goals with a 401k plan that includes employer matching. Community: We foster an inclusive environment where you can rely on your teammates, share honest feedback, and feel comfortable being your authentic self at work each day. TailorCare seeks to recruit and retain staff from diverse backgrounds and encourages qualified candidates to apply. TailorCare is an equal opportunity employer and does not discriminate on the basis of age, sex, gender identity/expression, sexual orientation, color, race, creed, national origin, ancestry, religion, marital status, political belief, physical or mental disability, pregnancy, military, or veteran status.

Build and scale infrastructure with AWS, CI/CD pipelines, observability tools, support product teams, manage on-call rotations, and ensure HIPAA compliance. | 5+ years in SRE, DevOps, or Software Engineering with hands-on AWS, Terraform, strong Python or Go skills, and observability experience. | About TailorCare TailorCare is transforming the experience of specialty care. Our comprehensive care program takes a profoundly personal, evidence-based approach to improving patient outcomes for joint, back, and muscle conditions. By carefully assessing patients' symptoms, health histories, preferences, and goals with predictive data and the latest evidence-based guidelines, we help patients choose and navigate the most effective treatment pathway for them every step of the way. TailorCare values the experiences and perspectives of individuals from all backgrounds. We are a highly collaborative, curious, and determined team passionate about scaling a high-growth start-up to improve the lives of those in pain. TailorCare is a remote-first company with our corporate office located in Nashville. About the Role TailorCare is building a world-class engineering culture, and we are looking for a Senior Site Reliability Engineer to help build and scale our infrastructure. As an early hire in our newly formed Infrastructure & SRE department, you will work directly with the Director of Infrastructure & SRE, who sets our technical direction, and you will play a hands-on role in translating that vision into a resilient, scalable, and secure platform. You will have opportunities to shape how the work gets done and to influence technical decisions through strong execution and informed recommendations. This is not a traditional "ops" role where you just close tickets. We are looking for an empathetic engineering advocate who partners closely with product engineering teams. You will help us execute on major initiatives in 2026 and 2027, including rolling out universal CI/CD systems, standardizing Terraform, tracking and driving improvement of DORA metrics, leveraging AI for automation, and establishing SLOs/SLIs and error budgets. If you love building paved roads for developers and bringing calm, automated discipline to production environments, this is the role for you. Primary Responsibilities Implement the standardization of our AWS footprint using Terraform. Eliminate manual provisioning, establish reproducible environments, and integrate AI-assisted tooling (e.g., automated PR reviews, intelligent infrastructure operations) to accelerate our workflows. Build and maintain universal CI/CD pipelines (e.g., GitHub Actions) that remove friction from the SDLC. Track and improve DORA metrics across engineering teams to ensure we are shipping quickly and safely. Implement observability improvements across AWS and third-party integrations. Monitor and support SLOs, SLIs, and error budgets for key services, ensuring high availability for our web/mobile apps, telephony stack, and data processing. Act as a bridge between SRE and software/data engineering. Advocate for operations-focused engineering in an empathetic, contributory spirit. You will treat developers as your customers and build self-service tooling so they can ship without filing tickets. Because our business operates across all US time zones (ET, CT, MT, and PT), you will help stand up the on-call rotation and contribute to shaping sustainable core on-call hours and escalation paths alongside the Director. Lead production incidents with a calm demeanor, drive blameless post-incident reviews (RCAs), and collaborate with teams to fix systemic issues so they don't happen again. Help implement and maintain infrastructure controls (IAM, encryption, network segmentation) that align with HIPAA and HITRUST requirements, ensuring a secure environment for patient data. Other duties as assigned Qualifications 5+ years in Software Engineering, SRE, DevOps, or Platform Engineering, with a proven track record of operating at a Senior level (building systems, delivering technical initiatives, and collaborating with peers). Deep hands-on AWS expertise (VPC, IAM, ECS/EKS, Lambda, RDS, S3) and production-grade Terraform experience at scale (modules, state management, multi-environment). Strong programming skills in Python, Go, TypeScript, or similar. You treat infrastructure as software and automate away toil. Hands-on experience with modern observability stacks (Datadog, CloudWatch, Grafana, etc.) and a practical understanding of how to implement SLOs, SLIs, and error budgets in a startup environment. Deep experience maintaining and standardizing CI/CD pipelines and tracking delivery metrics (like DORA). Experience operating in a HIPAA, HITRUST, SOC 2 Type II, or comparably regulated growth-stage environment is highly desired. Ability and willingness to travel up to 10% as needed for onsite meetings, team collaboration, and company events. Skills You own outcomes: When something breaks, you fix it and improve the system so it does not happen again. You write code and ship infrastructure: You are a builder at heart and thrive in hands-on technical environments. You are an empathetic partner: You don't throw policies over the wall; you build paved roads and enable product engineers to do their best work safely. You build for clarity and simplicity: You distrust complexity that does not earn its keep. You bring calm to incidents and discipline to operations. You surface risks early: Bad news early is manageable; bad news late is expensive. Excellent communication skills with a history of building high-trust partnerships with software engineering teams. Experience integrating or operating Salesforce and telephony/contact center platforms (like Amazon Connect) is a plus. Familiarity with data platforms (Databricks, Snowflake, Fivetran) is a plus. Interest or experience in AI/LLM-assisted operations tooling and automation is a plus. What Success Looks Like Within 30 Days: Gain a deep understanding of our existing AWS footprint, observability capabilities, CI/CD processes, and access controls. Form meaningful, initial partnerships with software and data engineering teams. Within 90 Days: Standardize and modularize critical parts of our Terraform codebase. Roll out the foundational pieces of our universal CI/CD pipeline, audit and upgrade critical observability dashboards to reduce alert fatigue, and participate in standing up a robust infrastructure on-call rotation. In Year One: This role is explicitly hands-on. In your first year, you will personally write production Terraform, review infrastructure pull requests, and pair directly with engineers on critical migrations. You will collaborate with product and engineering teams to support the operational standards expected of the organization and our clients. You will successfully support baseline SLOs, SLIs, and error budgets for TailorCare’s most critical services, establish comprehensive observability (metrics, logs, traces, alerting) across AWS and third-party integrations, and track DORA metrics to ensure reliable, high-velocity delivery. What's In It For You Meaningful Work: We are dedicated to our mission and deeply value our patients and each other. Each day offers the opportunity to make a positive impact. Work Environment: We operate as a remote-first company with options for a hybrid work model in Nashville. Time Off: Our generous paid time off (PTO) and holiday plans ensure you have ample time to rest and recharge. Family First: We offer paid parental leave and support a healthy work-life balance, encouraging flexibility and autonomy. We love talking about our family and pets! Comprehensive Benefits: From Day 1, employees enjoy medical, dental, vision, life, and disability insurance, wellness resources and an employer HSA contribution. Fair Compensation: We are committed to equitable pay for all team members and support your future goals with a 401k plan that includes employer matching. Community: We foster an inclusive environment where you can rely on your teammates, share honest feedback, and feel comfortable being your authentic self at work each day. TailorCare seeks to recruit and retain staff from diverse backgrounds and encourages qualified candidates to apply. TailorCare is an equal opportunity employer and does not discriminate on the basis of age, sex, gender identity/expression, sexual orientation, color, race, creed, national origin, ancestry, religion, marital status, political belief, physical or mental disability, pregnancy, military, or veteran status.

Develop and deploy complex Salesforce and TypeScript AWS features ensuring HIPAA compliance. | Requires 5+ years in software development with Salesforce, TypeScript, AWS, and regulated environment experience. | About TailorCare: TailorCare is transforming the experience of specialty care. Our comprehensive care program takes a deeply personal, evidence-based approach to improving patient outcomes for joint, back, and muscle conditions. By combining a careful assessment of patients’ symptoms, health histories, preferences, and goals with predictive data and the latest evidence-based guidelines, we help patients choose—and navigate—the most effective treatment pathway for them, every step of the way. TailorCare values the experiences and perspectives of individuals from all backgrounds. We are a highly collaborative, curious, and determined team passionate about scaling a high-growth start-up to improve the lives of those in pain. TailorCare is a remote-first company with a hybrid office in Nashville. About the Team: We are Team 2: Care Team Enablement, building solutions that enable our care team to serve more patients without working harder. Our solutions are primarily built on the Salesforce platform through our Seamline product, with additional services and integrations as needed. Our users are internal with two core roles: Care Advocates, who run outreach and get patients engaged, and Care Navigators, who handle clinical intakes and care coordination. Everything we ship lands in someone's daily work, so we stay close to the people using it. About the Role: We are looking for a Senior Software Engineer to join Care Team Enablement. Most of our product workflows live on the Salesforce platform, with additional TypeScript services owned by the team, so we are looking for a strong engineer who also brings Salesforce experience from day one. You will own complex features end to end, from design with product and UX through deployment and the work that follows a release. Our systems hold PHI under HIPAA, so security and access decisions are part of normal design work here. Key Responsibilities: Own complex features end to end: turn ambiguous requirements into a design, build it, test it, ship it, and handle what comes after. Build on the Salesforce platform with Apex, Lightning components, and platform integrations, alongside our Salesforce administrator. Design and maintain the TypeScript services and integrations the team owns alongside Salesforce, running on AWS. Use AI-assisted development tools in your daily work, and help the team learn where they earn their keep. Keep the delivery path healthy: CI/CD pipelines, automated tests, and deployment tooling. Review code with an eye on correctness, security, and the next person who has to change it. Join sprint planning and design discussions, raise technical risk early, and mentor engineers through code and design feedback. Key Qualifications: 5+ years delivering production software in a planned yet agile environment. Hands-on Salesforce development experience: Apex, SOQL, Lightning components, and platform APIs. Depth in TypeScript and Node or comparable server-side language experience. Experience designing and operating services on AWS (Lambda, SQS/SNS, IAM) with PostgreSQL for relational data. Experience with CI/CD and deployment pipelines, including the testing that makes them safe. Experience converting business requirements into technical designs and owning features through production. Demonstrated strong ownership of work coupled with an ability to collaborate openly and transparently. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Experience building software that handles PHI under HIPAA or comparable regulated data is preferred. Experience with telephony or contact center platforms, healthcare, and/or startups is a big plus. What's In It For You Meaningful Work: We are dedicated to our mission and deeply value our patients and each other. Each day offers the opportunity to make a positive impact. Work Environment: We operate as a remote-first company with options for a hybrid work model in Nashville. Time Off: Our generous paid time off (PTO) and holiday plans ensure you have ample time to rest and recharge. Family First: We offer paid parental leave and support a healthy work-life balance, encouraging flexibility and autonomy. We love talking about our family and pets! Comprehensive Benefits: From Day 1, employees enjoy medical, dental, vision, life, and disability insurance, wellness resources and an employer HSA contribution. Fair Compensation: We are committed to equitable pay for all team members and support your future goals with a 401k plan that includes employer matching. Community: We foster an inclusive environment where you can rely on your teammates, share honest feedback, and feel comfortable being your authentic self at work each day. TailorCare seeks to recruit and retain staff from diverse backgrounds and encourages qualified candidates to apply. TailorCare is an equal opportunity employer and does not discriminate on the basis of age, sex, gender identity/expression, sexual orientation, color, race, creed, national origin, ancestry, religion, marital status, political belief, physical or mental disability, pregnancy, military, or veteran status.